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Full Scoreboard »» |
Dallas Stars 28-26-10, 66pts · 14th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 68 | 42 | 81 | 79 | 86 | 89 | 87 | 78 | 84 | 81 | 77 | 80 | 79 | 75 | 78 | 72 | 50 | 75 | 26 | 4,333,000$/2yrs | |||
![]() | 0 | C | 100.00 | 79 | 44 | 78 | 74 | 93 | 83 | 88 | 73 | 78 | 71 | 77 | 79 | 74 | 75 | 73 | 67 | 50 | 72 | 27 | 7,142,857$/7yrs | |||
![]() | 0 | C | 100.00 | 58 | 41 | 87 | 83 | 79 | 85 | 81 | 82 | 84 | 86 | 69 | 63 | 83 | 82 | 78 | 53 | 50 | 72 | 31 | 6,700,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 58 | 41 | 86 | 80 | 79 | 84 | 76 | 78 | 56 | 80 | 75 | 59 | 77 | 65 | 66 | 81 | 50 | 70 | 22 | 5,875,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 81 | 38 | 81 | 79 | 65 | 83 | 85 | 78 | 66 | 76 | 77 | 56 | 80 | 78 | 73 | 36 | 50 | 70 | 28 | 5,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 94 | 52 | 66 | 69 | 76 | 84 | 86 | 68 | 72 | 75 | 65 | 78 | 68 | 82 | 89 | 46 | 50 | 70 | 31 | 5,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 66 | 40 | 86 | 67 | 76 | 78 | 84 | 65 | 77 | 69 | 66 | 83 | 67 | 71 | 68 | 62 | 50 | 68 | 25 | 1,050,000$/1yrs | |||
![]() | 0 | C | 100.00 | 54 | 38 | 89 | 72 | 67 | 73 | 75 | 71 | 65 | 74 | 70 | 63 | 71 | 69 | 67 | 42 | 50 | 66 | 24 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 89 | 39 | 87 | 62 | 71 | 79 | 83 | 59 | 80 | 54 | 61 | 83 | 59 | 79 | 72 | 34 | 50 | 65 | 30 | 1,800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 65 | 39 | 87 | 66 | 70 | 79 | 73 | 64 | 72 | 61 | 63 | 67 | 66 | 63 | 64 | 76 | 50 | 63 | 20 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 40 | 78 | 76 | 77 | 91 | 80 | 73 | 30 | 81 | 64 | 90 | 56 | 87 | 92 | 26 | 50 | 75 | 35 | 6,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 41 | 89 | 72 | 82 | 91 | 88 | 71 | 30 | 86 | 69 | 79 | 58 | 85 | 81 | 46 | 50 | 73 | 34 | 7,538,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 38 | 85 | 76 | 63 | 89 | 81 | 74 | 30 | 77 | 75 | 81 | 58 | 79 | 73 | 38 | 50 | 72 | 29 | 5,188,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 89 | 79 | 75 | 90 | 87 | 76 | 30 | 80 | 69 | 78 | 56 | 61 | 63 | 89 | 50 | 72 | 20 | 894,167$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 45 | 78 | 65 | 86 | 87 | 89 | 63 | 30 | 71 | 50 | 81 | 46 | 78 | 70 | 51 | 50 | 71 | 28 | 4,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 43 | 86 | 63 | 88 | 87 | 63 | 61 | 30 | 72 | 54 | 84 | 48 | 77 | 69 | 58 | 50 | 69 | 28 | 4,099,999$/3yrs | |||
![]() | 0 | D | 100.00 | 86 | 59 | 64 | 63 | 96 | 75 | 69 | 62 | 30 | 68 | 61 | 66 | 52 | 71 | 66 | 42 | 50 | 66 | 25 | 675,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 41 | 87 | 66 | 78 | 82 | 75 | 63 | 30 | 69 | 50 | 58 | 46 | 71 | 66 | 59 | 50 | 64 | 25 | 1,850,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 71 | 42 | 89 | 63 | 81 | 74 | 72 | 62 | 76 | 59 | 58 | 64 | 59 | 61 | 64 | 82 | 50 | 62 | 20 | 925,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 43 | 82 | 65 | 71 | 72 | 69 | 64 | 82 | 63 | 59 | 65 | 63 | 67 | 65 | 66 | 50 | 62 | 23 | 700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 43 | 89 | 59 | 73 | 85 | 74 | 58 | 30 | 61 | 57 | 65 | 47 | 71 | 66 | 56 | 50 | 62 | 25 | 700,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 71 | 42 | 83 | 70 | 78 | 83 | 79 | 69 | 55 | 72 | 65 | 72 | 63 | 74 | 72 | 56 | 50 | 69 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 91 | 95 | 93 | 97 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 84 | 88 | 51 | 50 | 88 | 32 | 4,916,670$/2yrs |
![]() | 0 | 100.00 | 86 | 84 | 82 | 73 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 67 | 71 | 62 | 50 | 79 | 23 | 792,500$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 75 | 76 | 74 | 82 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 75 | 81 | 57 | 50 | 73 | 26 | 775,000$/1yrs |
![]() | 0 | 100.00 | 75 | 77 | 75 | 84 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 73 | 77 | 58 | 50 | 73 | 25 | 675,000$/1yrs |
TEAM AVERAGE | 100.00 | 82 | 83 | 81 | 84 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 75 | 79 | 57 | 50 | 78 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 73 | 55 | 81 | 60 | 87 | 86 | 87 | 58 | 54 | 56 | 56 | 63 | 58 | 79 | 77 | 54 | 20 | 61 | 30 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 45 | 89 | 63 | 86 | 83 | 79 | 60 | 72 | 61 | 58 | 62 | 60 | 67 | 64 | 72 | 60 | 61 | 23 | 874,125$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 46 | 86 | 62 | 76 | 77 | 72 | 60 | 53 | 57 | 61 | 59 | 62 | 63 | 65 | 83 | 60 | 59 | 21 | 894,166$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 45 | 86 | 56 | 69 | 79 | 78 | 55 | 61 | 53 | 54 | 52 | 56 | 65 | 63 | 66 | 60 | 55 | 22 | 728,333$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 38 | 89 | 59 | 82 | 75 | 68 | 58 | 30 | 61 | 57 | 62 | 46 | 77 | 69 | 55 | 20 | 61 | 28 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 45 | 88 | 61 | 80 | 78 | 71 | 59 | 30 | 61 | 58 | 60 | 47 | 75 | 68 | 51 | 20 | 61 | 27 | 825,000$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Emmanuel Brunelle |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sean Couturier | 0 | C | 64 | 17 | 33 | 50 | 4 | 34 | 0 | 101 | 235 | 54 | 134 | 7.23% | 35 | 22.80 | 8 | 17 | 25 | 208 | 0 | 0 | 0 | 59 | 4 | 2 | 54.23% | 1798 | 49 | 39 | 0 | 0 | 0.69 | 0 | 1 | ||
2 | Brock Boeser | 0 | RW | 64 | 19 | 25 | 44 | 2 | 24 | 0 | 82 | 220 | 73 | 147 | 8.64% | 23 | 20.72 | 10 | 16 | 26 | 208 | 0 | 0 | 0 | 0 | 1 | 1 | 39.76% | 83 | 51 | 28 | 0 | 0 | 0.66 | 0 | 0 | ||
3 | Nicklas Backstrom | 0 | C | 64 | 17 | 26 | 43 | 0 | 15 | 5 | 55 | 193 | 52 | 121 | 8.81% | 14 | 18.65 | 6 | 9 | 15 | 161 | 0 | 0 | 0 | 66 | 4 | 1 | 54.84% | 806 | 45 | 22 | 0 | 2 | 0.72 | 1 | 10 | ||
4 | Jonathan Marchessault | 0 | C/LW/RW | 64 | 21 | 19 | 40 | 0 | 36 | 0 | 116 | 190 | 43 | 112 | 11.05% | 14 | 21.91 | 6 | 11 | 17 | 208 | 0 | 0 | 0 | 89 | 5 | 1 | 54.74% | 95 | 38 | 14 | 2 | 0 | 0.57 | 1 | 8 | ||
5 | Mark Giordano | 0 | D | 64 | 9 | 26 | 35 | 5 | 50 | 0 | 87 | 112 | 51 | 58 | 8.04% | 98 | 27.89 | 6 | 8 | 14 | 226 | 0 | 0 | 0 | 169 | 1 | 1 | 0.00% | 0 | 31 | 61 | 0 | 0 | 0.39 | 0 | 0 | ||
6 | Ryan Suter | 0 | D | 64 | 8 | 23 | 31 | 7 | 16 | 0 | 55 | 132 | 60 | 46 | 6.06% | 89 | 28.15 | 6 | 6 | 12 | 226 | 0 | 0 | 0 | 188 | 4 | 1 | 0.00% | 0 | 38 | 63 | 0 | 0 | 0.34 | 1 | 1 | ||
7 | Kevin Hayes | 0 | C | 64 | 15 | 13 | 28 | 3 | 26 | 0 | 85 | 174 | 38 | 100 | 8.62% | 10 | 17.26 | 6 | 3 | 9 | 161 | 0 | 0 | 0 | 0 | 2 | 0 | 55.36% | 56 | 36 | 19 | 0 | 0 | 0.51 | 1 | 10 | ||
8 | Nick Foligno | 0 | LW/RW | 64 | 10 | 15 | 25 | 6 | 67 | 5 | 116 | 104 | 26 | 68 | 9.62% | 21 | 19.38 | 2 | 5 | 7 | 161 | 0 | 0 | 0 | 150 | 0 | 0 | 48.21% | 56 | 20 | 23 | 0 | 0 | 0.40 | 0 | 0 | ||
9 | Jared Spurgeon | 0 | D | 64 | 1 | 13 | 14 | -3 | 14 | 0 | 49 | 77 | 51 | 38 | 1.30% | 68 | 20.85 | 0 | 3 | 3 | 151 | 0 | 0 | 0 | 131 | 1 | 0 | 0.00% | 0 | 31 | 46 | 0 | 0 | 0.21 | 0 | 0 | ||
10 | Chandler Stephenson | 0 | C/LW | 64 | 6 | 3 | 9 | -4 | 12 | 0 | 66 | 96 | 34 | 61 | 6.25% | 21 | 12.79 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 78 | 1 | 0 | 35.00% | 20 | 20 | 12 | 0 | 0 | 0.22 | 0 | 0 | ||
11 | Jesper Boqvist | 0 | C | 64 | 6 | 2 | 8 | -5 | 12 | 0 | 49 | 65 | 23 | 32 | 9.23% | 13 | 11.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 24 | 13 | 6 | 0 | 0 | 0.22 | 0 | 0 | ||
12 | Miro Heiskanen | 0 | D | 64 | 0 | 8 | 8 | -1 | 6 | 0 | 16 | 57 | 22 | 28 | 0.00% | 30 | 14.31 | 0 | 0 | 0 | 151 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 20 | 21 | 0 | 0 | 0.17 | 0 | 0 | ||
13 | Luke Glendening | 0 | C | 64 | 3 | 4 | 7 | -1 | 4 | 0 | 83 | 42 | 14 | 31 | 7.14% | 25 | 15.08 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 177 | 1 | 0 | 54.00% | 613 | 12 | 21 | 0 | 0 | 0.15 | 0 | 0 | ||
14 | David Savard | 0 | D | 64 | 0 | 6 | 6 | -3 | 65 | 15 | 69 | 43 | 12 | 16 | 0.00% | 70 | 17.84 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 103 | 0 | 0 | 0.00% | 0 | 3 | 38 | 0 | 0 | 0.11 | 0 | 0 | ||
15 | Dominik Kahun | 0 | C | 64 | 1 | 3 | 4 | -2 | 0 | 0 | 16 | 50 | 20 | 33 | 2.00% | 4 | 6.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 40.51% | 195 | 7 | 6 | 0 | 0 | 0.20 | 0 | 0 | ||
16 | Dylan Gambrell | 0 | C | 35 | 2 | 1 | 3 | -1 | 28 | 0 | 25 | 38 | 9 | 22 | 5.26% | 7 | 10.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 52.63% | 19 | 4 | 8 | 0 | 0 | 0.16 | 0 | 0 | ||
17 | Brian Dumoulin | 0 | D | 64 | 0 | 2 | 2 | 1 | 12 | 0 | 40 | 23 | 13 | 18 | 0.00% | 48 | 13.10 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 44 | 0 | 0 | 0.00% | 0 | 3 | 26 | 0 | 0 | 0.05 | 0 | 0 | ||
18 | Ryan Poehling | 0 | C | 35 | 1 | 0 | 1 | -2 | 2 | 0 | 19 | 6 | 5 | 2 | 16.67% | 4 | 7.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 33.33% | 3 | 1 | 1 | 0 | 0 | 0.08 | 0 | 0 | ||
19 | Brett Kulak | 0 | D | 29 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Kurtis MacDermid | 0 | D | 29 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1152 | 136 | 222 | 358 | 4 | 423 | 25 | 1130 | 1857 | 600 | 1067 | 7.32% | 594 | 16.58 | 50 | 79 | 129 | 1896 | 0 | 0 | 0 | 1265 | 26 | 9 | 53.06% | 3769 | 422 | 454 | 2 | 2 | 0.37 | 4 | 30 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ben Bishop | 46 | 23 | 19 | 4 | 0.929 | 2.05 | 2756 | 2 | 3 | 94 | 1324 | 552 | 3 | 0 | 0.667 | 12 | 46 | 18 | 5 | 6 | 6 | |
2 | Alexandar Georgiev | 19 | 5 | 7 | 6 | 0.919 | 2.27 | 1136 | 0 | 1 | 43 | 533 | 261 | 2 | 2 | 0.632 | 19 | 18 | 46 | 4 | 1 | 1 | |
Team Total or Average | 65 | 28 | 26 | 10 | 0.926 | 2.11 | 3893 | 2 | 4 | 137 | 1857 | 813 | 5 | 2 | 0.645 | 31 | 64 | 64 | 9 | 7 | 7 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 0 | 2 | 0 | 0 | 36 | 11 | 11 | 14 | 0 | 55 | 16 | 8 | 31 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 36 | 17 | 42 | 18 | 41 | 21 | 50.0% | 5.6% | 96.4% | 101.9 | DULL | |
2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 55 | 15 | 20 | 20 | 3 | 56 | 24 | 12 | 32 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 43 | 25 | 45 | 18 | 35 | 17 | 33.3% | 3.6% | 92.9% | 96.5 | DULL | |
3 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 1 | 1 | 54 | 14 | 14 | 22 | 7 | 47 | 16 | 18 | 33 | 7 | 3 | 42.86% | 9 | 1 | 88.89% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 43 | 22 | 40 | 20 | 40 | 20 | 28.6% | 9.3% | 87.2% | 96.5 | FUN | |
4 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 62 | 16 | 24 | 22 | 0 | 64 | 12 | 10 | 42 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 47 | 28 | 40 | 17 | 34 | 17 | 0.0% | 3.2% | 93.8% | 97.0 | DULL | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 7 | 12 | 1 | 0 | 2 | 1 | 2 | 0 | 49 | 14 | 20 | 15 | 0 | 60 | 18 | 16 | 32 | 7 | 2 | 28.57% | 8 | 4 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 41 | 22 | 41 | 18 | 37 | 19 | 37.5% | 10.2% | 85.0% | 95.2 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 29 | 6 | 15 | 8 | 0 | 37 | 8 | 4 | 14 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 18 | 10 | 24 | 9 | 16 | 7 | 25.0% | 6.9% | 89.2% | 96.1 | Unlucky | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 54 | 15 | 12 | 27 | 0 | 64 | 15 | 18 | 41 | 5 | 1 | 20.00% | 9 | 2 | 77.78% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 44 | 23 | 39 | 16 | 35 | 18 | 28.6% | 5.6% | 89.1% | 94.6 | Unlucky | |
8 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 4 | 0.500 | 8 | 14 | 22 | 0 | 0 | 1 | 7 | 0 | 0 | 135 | 43 | 55 | 37 | 0 | 119 | 53 | 25 | 68 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 84 | 49 | 87 | 36 | 67 | 34 | 50.0% | 5.9% | 92.4% | 98.4 | DULL | |
9 | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 6 | 10 | -4 | 3 | 0.375 | 6 | 10 | 16 | 0 | 0 | 1 | 0 | 4 | 1 | 115 | 25 | 29 | 56 | 7 | 110 | 39 | 24 | 83 | 14 | 3 | 21.43% | 12 | 2 | 83.33% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 83 | 41 | 84 | 39 | 79 | 42 | 27.3% | 5.2% | 90.9% | 96.1 | Unlucky | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 80 | 39 | 21 | 20 | 0 | 63 | 17 | 10 | 36 | 8 | 2 | 25.00% | 5 | 3 | 40.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 48 | 29 | 37 | 17 | 34 | 16 | 60.0% | 6.3% | 92.1% | 98.3 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 2 | 3 | 0.750 | 4 | 7 | 11 | 0 | 1 | 0 | 1 | 3 | 0 | 63 | 15 | 24 | 22 | 5 | 65 | 19 | 12 | 34 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 42 | 23 | 45 | 18 | 37 | 18 | 60.0% | 6.3% | 96.9% | 103.3 | DULL | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 1 | 41 | 15 | 11 | 13 | 5 | 51 | 23 | 4 | 30 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 38 | 17 | 42 | 18 | 43 | 24 | 33.3% | 9.8% | 92.2% | 101.9 | LUCKY | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 42 | 17 | 17 | 8 | 0 | 57 | 16 | 18 | 24 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 39 | 19 | 42 | 19 | 38 | 19 | 0.0% | 2.4% | 94.7% | 97.1 | DULL | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 2 | 2 | 3 | 0 | 54 | 20 | 20 | 14 | 0 | 69 | 21 | 12 | 36 | 5 | 1 | 20.00% | 6 | 3 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 42 | 25 | 43 | 17 | 34 | 18 | 75.0% | 13.0% | 92.8% | 105.7 | LUCKY | |
15 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 97 | 29 | 40 | 28 | 0 | 112 | 27 | 18 | 51 | 10 | 4 | 40.00% | 9 | 3 | 66.67% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 63 | 38 | 66 | 25 | 49 | 25 | 42.9% | 7.2% | 93.8% | 101.0 | DULL | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 65 | 23 | 20 | 22 | 0 | 49 | 15 | 10 | 32 | 11 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 45 | 26 | 39 | 18 | 34 | 18 | 83.3% | 7.7% | 95.9% | 103.6 | DULL | |
17 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 13 | -3 | 3 | 0.500 | 10 | 16 | 26 | 0 | 0 | 2 | 3 | 5 | 0 | 95 | 16 | 43 | 36 | 3 | 73 | 28 | 28 | 73 | 13 | 2 | 15.38% | 14 | 6 | 57.14% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 67 | 36 | 59 | 28 | 57 | 30 | 53.3% | 10.5% | 82.2% | 92.7 | FUN | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 2 | 0 | 53 | 9 | 25 | 19 | 0 | 64 | 24 | 13 | 31 | 8 | 3 | 37.50% | 6 | 3 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 41 | 22 | 41 | 17 | 37 | 19 | 66.7% | 9.4% | 93.8% | 103.2 | LUCKY | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 22 | 5 | 5 | 12 | 0 | 20 | 9 | 4 | 23 | 7 | 3 | 42.86% | 2 | 1 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 20 | 9 | 19 | 9 | 20 | 11 | 50.0% | 18.2% | 90.0% | 108.2 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 33 | 8 | 9 | 16 | 0 | 26 | 5 | 2 | 22 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 21 | 11 | 20 | 8 | 17 | 10 | 50.0% | 6.1% | 96.2% | 102.2 | DULL | |
21 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 2 | 1 | 67 | 23 | 24 | 18 | 5 | 61 | 33 | 10 | 32 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 43 | 24 | 43 | 18 | 38 | 19 | 57.1% | 6.0% | 93.4% | 99.4 | DULL | |
22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 4 | 2 | 0 | 69 | 18 | 24 | 27 | 0 | 67 | 19 | 12 | 40 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 47 | 28 | 39 | 17 | 32 | 16 | 62.5% | 10.1% | 94.0% | 104.2 | LUCKY | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 67 | 23 | 21 | 23 | 0 | 66 | 16 | 22 | 35 | 5 | 0 | 0.00% | 11 | 5 | 54.55% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 41 | 23 | 42 | 19 | 35 | 17 | 50.0% | 4.5% | 87.9% | 92.4 | Unlucky | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 23 | 7 | 8 | 8 | 0 | 27 | 3 | 4 | 15 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 20 | 10 | 20 | 9 | 19 | 10 | 100.0% | 4.3% | 100.0% | 104.3 | DULL | |
25 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 2 | 4 | 0 | 1 | 57 | 14 | 30 | 10 | 8 | 62 | 23 | 15 | 27 | 10 | 2 | 20.00% | 6 | 3 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 48 | 26 | 42 | 19 | 39 | 20 | 55.6% | 12.3% | 88.7% | 101.0 | FUN | |
26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 14 | 8 | 6 | 0 | 32 | 6 | 10 | 10 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 19 | 10 | 21 | 9 | 18 | 9 | 50.0% | 3.6% | 93.8% | 97.3 | DULL | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 26 | 6 | 11 | 9 | 0 | 29 | 5 | 10 | 15 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 20 | 9 | 20 | 8 | 19 | 11 | 0.0% | 3.8% | 89.7% | 93.5 | Unlucky | |
28 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 7 | 2 | 5 | 0.625 | 9 | 13 | 22 | 0 | 0 | 2 | 4 | 3 | 0 | 117 | 39 | 39 | 37 | 6 | 94 | 29 | 39 | 73 | 19 | 5 | 26.32% | 13 | 2 | 84.62% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 88 | 49 | 82 | 39 | 74 | 38 | 44.4% | 7.7% | 92.6% | 100.2 | DULL | |
29 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 6 | 3 | 5 | 0.625 | 9 | 15 | 24 | 0 | 1 | 0 | 5 | 4 | 0 | 111 | 26 | 42 | 43 | 0 | 108 | 33 | 25 | 70 | 14 | 3 | 21.43% | 12 | 2 | 83.33% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 79 | 41 | 86 | 40 | 74 | 37 | 60.0% | 8.1% | 94.4% | 102.6 | DULL | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 0 | 6 | 1 | 0 | 58 | 14 | 27 | 17 | 0 | 52 | 22 | 12 | 45 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 44 | 25 | 42 | 17 | 33 | 17 | 83.3% | 12.1% | 94.2% | 106.3 | LUCKY | |
_Vs Division | 21 | 8 | 9 | 0 | 1 | 1 | 0 | 2 | 44 | 48 | -4 | 21 | 0.500 | 44 | 71 | 115 | 1 | 1 | 9 | 19 | 15 | 1 | 624 | 176 | 225 | 216 | 13 | 603 | 199 | 147 | 377 | 76 | 19 | 25.00% | 64 | 16 | 75.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 441 | 242 | 448 | 200 | 383 | 197 | 43.9% | 7.1% | 92.0% | 99.1 | DULL | |
_Vs Conference | 36 | 16 | 13 | 0 | 1 | 1 | 0 | 5 | 80 | 79 | 1 | 40 | 0.556 | 80 | 130 | 210 | 1 | 3 | 12 | 37 | 30 | 1 | 1051 | 283 | 393 | 366 | 24 | 1020 | 339 | 249 | 663 | 128 | 30 | 23.44% | 115 | 27 | 76.52% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 765 | 421 | 762 | 341 | 659 | 338 | 49.0% | 7.6% | 92.3% | 99.9 | DULL | |
_Since Last GM Reset | 64 | 24 | 26 | 0 | 2 | 2 | 2 | 8 | 138 | 147 | -9 | 66 | 0.516 | 138 | 222 | 360 | 2 | 4 | 22 | 61 | 51 | 5 | 1857 | 539 | 669 | 629 | 49 | 1859 | 594 | 425 | 1130 | 230 | 50 | 21.74% | 200 | 54 | 73.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 1368 | 751 | 1347 | 597 | 1180 | 610 | 48.6% | 7.4% | 92.1% | 99.5 | DULL | |
Total | 64 | 24 | 26 | 0 | 2 | 2 | 2 | 8 | 138 | 147 | -9 | 66 | 0.516 | 138 | 222 | 360 | 2 | 4 | 22 | 61 | 51 | 5 | 1857 | 539 | 669 | 629 | 49 | 1859 | 594 | 425 | 1130 | 230 | 50 | 21.74% | 200 | 54 | 73.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 1368 | 751 | 1347 | 597 | 1180 | 610 | 48.6% | 7.4% | 92.1% | 99.5 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1468 |
Neutral Zone Start | 815 |
Defensive Zone Start | 1486 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2000 |
Faceoffs Lost | 1769 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.4 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 28.7 | 30.68 |
Overtime | 29.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.2 | 2.83 |
Even Strenght Goal | 86 |
---|---|
PP Goal | 50 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 11 | 17 |
Lost | 15 | 11 |
Overtime Lost | 5 | 5 |
PP Attempt | 230 |
---|---|
PP Goal | 50 |
PK Attempt | 200 |
PK Goal Against | 54 |
Home | |
---|---|
Shots For | 29.0 |
Shots Against | 29.0 |
Goals For | 2.2 |
Goals Against | 2.3 |
Hits | 17.7 |
Shots Blocked | 9.3 |
Pim | 6.6 |
Projected Total Cap Hit | 79,980,193$ |
Projected Cap Space | 1,519,807$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 64,500,150$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Stars Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandar Georgiev ![]() | G | 23 | 792,500$ | 792,500$ | |||||||
Anton Forsberg ![]() | G | 26 | 775,000$ | 775,000$ | |||||||
Ben Bishop ![]() | G | 32 | 4,916,670$ | 4,916,670$ | 4,916,670$ | ||||||
Brett Kulak ![]() | D | 25 | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | |||||
Brian Dumoulin ![]() | D | 28 | 4,099,999$ | 4,099,999$ | 4,099,999$ | 4,099,999$ | |||||
Brock Boeser ![]() | RW | 22 | 5,875,000$ | 5,875,000$ | 5,875,000$ | 5,875,000$ | |||||
Chandler Stephenson ![]() | C/LW | 25 | 1,050,000$ | 1,050,000$ | |||||||
Dakota Mermis ![]() | D | 25 | 700,000$ | 700,000$ | |||||||
David Savard ![]() | D | 28 | 4,250,000$ | 4,250,000$ | 4,250,000$ | ||||||
Dominik Kahun ![]() | C | 24 | 925,000$ | 925,000$ | |||||||
Dylan Gambrell ![]() | C | 23 | 700,000$ | 700,000$ | 700,000$ | ||||||
Jared Spurgeon ![]() | D | 29 | 5,188,000$ | 5,188,000$ | |||||||
Jesper Boqvist ![]() | C | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Jonathan Marchessault ![]() | C/LW/RW | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||
Kasimir Kaskisuo ![]() | G | 25 | 675,000$ | 675,000$ | |||||||
Kevin Hayes ![]() | C | 27 | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | |
Kurtis MacDermid ![]() | D | 25 | 675,000$ | 675,000$ | |||||||
Luke Glendening ![]() | C | 30 | 1,800,000$ | 1,800,000$ | |||||||
Mark Giordano ![]() | D | 35 | 6,750,000$ | 6,750,000$ | 6,750,000$ | ||||||
Miro Heiskanen ![]() | D | 20 | 894,167$ | 894,167$ | 894,167$ | ||||||
Nick Foligno ![]() | LW/RW | 31 | 5,500,000$ | 5,500,000$ | |||||||
Nicklas Backstrom ![]() | C | 31 | 6,700,000$ | 6,700,000$ | |||||||
Ryan Poehling ![]() | C | 20 | 925,000$ | 925,000$ | 925,000$ | ||||||
Ryan Suter ![]() | D | 34 | 7,538,000$ | 7,538,000$ | 7,538,000$ | ||||||
Sean Couturier ![]() | C | 26 | 4,333,000$ | 4,333,000$ | 4,333,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 0 | 2 | 0 | 0 | 36 | 11 | 11 | 14 | 0 | 55 | 16 | 8 | 31 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 36 | 17 | 42 | 18 | 41 | 21 | 50.0% | 5.6% | 96.4% | 101.9 | DULL | |
2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 55 | 15 | 20 | 20 | 3 | 56 | 24 | 12 | 32 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 43 | 25 | 45 | 18 | 35 | 17 | 33.3% | 3.6% | 92.9% | 96.5 | DULL | |
3 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 1 | 1 | 54 | 14 | 14 | 22 | 7 | 47 | 16 | 18 | 33 | 7 | 3 | 42.86% | 9 | 1 | 88.89% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 43 | 22 | 40 | 20 | 40 | 20 | 28.6% | 9.3% | 87.2% | 96.5 | FUN | |
4 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 62 | 16 | 24 | 22 | 0 | 64 | 12 | 10 | 42 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 47 | 28 | 40 | 17 | 34 | 17 | 0.0% | 3.2% | 93.8% | 97.0 | DULL | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 7 | 12 | 1 | 0 | 2 | 1 | 2 | 0 | 49 | 14 | 20 | 15 | 0 | 60 | 18 | 16 | 32 | 7 | 2 | 28.57% | 8 | 4 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 41 | 22 | 41 | 18 | 37 | 19 | 37.5% | 10.2% | 85.0% | 95.2 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 29 | 6 | 15 | 8 | 0 | 37 | 8 | 4 | 14 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 18 | 10 | 24 | 9 | 16 | 7 | 25.0% | 6.9% | 89.2% | 96.1 | Unlucky | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 54 | 15 | 12 | 27 | 0 | 64 | 15 | 18 | 41 | 5 | 1 | 20.00% | 9 | 2 | 77.78% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 44 | 23 | 39 | 16 | 35 | 18 | 28.6% | 5.6% | 89.1% | 94.6 | Unlucky | |
8 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 4 | 0.500 | 8 | 14 | 22 | 0 | 0 | 1 | 7 | 0 | 0 | 135 | 43 | 55 | 37 | 0 | 119 | 53 | 25 | 68 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 84 | 49 | 87 | 36 | 67 | 34 | 50.0% | 5.9% | 92.4% | 98.4 | DULL | |
9 | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 6 | 10 | -4 | 3 | 0.375 | 6 | 10 | 16 | 0 | 0 | 1 | 0 | 4 | 1 | 115 | 25 | 29 | 56 | 7 | 110 | 39 | 24 | 83 | 14 | 3 | 21.43% | 12 | 2 | 83.33% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 83 | 41 | 84 | 39 | 79 | 42 | 27.3% | 5.2% | 90.9% | 96.1 | Unlucky | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 80 | 39 | 21 | 20 | 0 | 63 | 17 | 10 | 36 | 8 | 2 | 25.00% | 5 | 3 | 40.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 48 | 29 | 37 | 17 | 34 | 16 | 60.0% | 6.3% | 92.1% | 98.3 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 2 | 3 | 0.750 | 4 | 7 | 11 | 0 | 1 | 0 | 1 | 3 | 0 | 63 | 15 | 24 | 22 | 5 | 65 | 19 | 12 | 34 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 42 | 23 | 45 | 18 | 37 | 18 | 60.0% | 6.3% | 96.9% | 103.3 | DULL | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 1 | 41 | 15 | 11 | 13 | 5 | 51 | 23 | 4 | 30 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 38 | 17 | 42 | 18 | 43 | 24 | 33.3% | 9.8% | 92.2% | 101.9 | LUCKY | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 42 | 17 | 17 | 8 | 0 | 57 | 16 | 18 | 24 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 39 | 19 | 42 | 19 | 38 | 19 | 0.0% | 2.4% | 94.7% | 97.1 | DULL | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 2 | 2 | 3 | 0 | 54 | 20 | 20 | 14 | 0 | 69 | 21 | 12 | 36 | 5 | 1 | 20.00% | 6 | 3 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 42 | 25 | 43 | 17 | 34 | 18 | 75.0% | 13.0% | 92.8% | 105.7 | LUCKY | |
15 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 97 | 29 | 40 | 28 | 0 | 112 | 27 | 18 | 51 | 10 | 4 | 40.00% | 9 | 3 | 66.67% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 63 | 38 | 66 | 25 | 49 | 25 | 42.9% | 7.2% | 93.8% | 101.0 | DULL | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 65 | 23 | 20 | 22 | 0 | 49 | 15 | 10 | 32 | 11 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 45 | 26 | 39 | 18 | 34 | 18 | 83.3% | 7.7% | 95.9% | 103.6 | DULL | |
17 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 13 | -3 | 3 | 0.500 | 10 | 16 | 26 | 0 | 0 | 2 | 3 | 5 | 0 | 95 | 16 | 43 | 36 | 3 | 73 | 28 | 28 | 73 | 13 | 2 | 15.38% | 14 | 6 | 57.14% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 67 | 36 | 59 | 28 | 57 | 30 | 53.3% | 10.5% | 82.2% | 92.7 | FUN | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 2 | 0 | 53 | 9 | 25 | 19 | 0 | 64 | 24 | 13 | 31 | 8 | 3 | 37.50% | 6 | 3 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 41 | 22 | 41 | 17 | 37 | 19 | 66.7% | 9.4% | 93.8% | 103.2 | LUCKY | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 22 | 5 | 5 | 12 | 0 | 20 | 9 | 4 | 23 | 7 | 3 | 42.86% | 2 | 1 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 20 | 9 | 19 | 9 | 20 | 11 | 50.0% | 18.2% | 90.0% | 108.2 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 33 | 8 | 9 | 16 | 0 | 26 | 5 | 2 | 22 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 21 | 11 | 20 | 8 | 17 | 10 | 50.0% | 6.1% | 96.2% | 102.2 | DULL | |
21 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 2 | 1 | 67 | 23 | 24 | 18 | 5 | 61 | 33 | 10 | 32 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 43 | 24 | 43 | 18 | 38 | 19 | 57.1% | 6.0% | 93.4% | 99.4 | DULL | |
22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 4 | 2 | 0 | 69 | 18 | 24 | 27 | 0 | 67 | 19 | 12 | 40 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 47 | 28 | 39 | 17 | 32 | 16 | 62.5% | 10.1% | 94.0% | 104.2 | LUCKY | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 67 | 23 | 21 | 23 | 0 | 66 | 16 | 22 | 35 | 5 | 0 | 0.00% | 11 | 5 | 54.55% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 41 | 23 | 42 | 19 | 35 | 17 | 50.0% | 4.5% | 87.9% | 92.4 | Unlucky | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 23 | 7 | 8 | 8 | 0 | 27 | 3 | 4 | 15 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 20 | 10 | 20 | 9 | 19 | 10 | 100.0% | 4.3% | 100.0% | 104.3 | DULL | |
25 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 2 | 4 | 0 | 1 | 57 | 14 | 30 | 10 | 8 | 62 | 23 | 15 | 27 | 10 | 2 | 20.00% | 6 | 3 | 50.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 48 | 26 | 42 | 19 | 39 | 20 | 55.6% | 12.3% | 88.7% | 101.0 | FUN | |
26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 14 | 8 | 6 | 0 | 32 | 6 | 10 | 10 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 19 | 10 | 21 | 9 | 18 | 9 | 50.0% | 3.6% | 93.8% | 97.3 | DULL | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 26 | 6 | 11 | 9 | 0 | 29 | 5 | 10 | 15 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 20 | 9 | 20 | 8 | 19 | 11 | 0.0% | 3.8% | 89.7% | 93.5 | Unlucky | |
28 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 7 | 2 | 5 | 0.625 | 9 | 13 | 22 | 0 | 0 | 2 | 4 | 3 | 0 | 117 | 39 | 39 | 37 | 6 | 94 | 29 | 39 | 73 | 19 | 5 | 26.32% | 13 | 2 | 84.62% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 88 | 49 | 82 | 39 | 74 | 38 | 44.4% | 7.7% | 92.6% | 100.2 | DULL | |
29 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 6 | 3 | 5 | 0.625 | 9 | 15 | 24 | 0 | 1 | 0 | 5 | 4 | 0 | 111 | 26 | 42 | 43 | 0 | 108 | 33 | 25 | 70 | 14 | 3 | 21.43% | 12 | 2 | 83.33% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 79 | 41 | 86 | 40 | 74 | 37 | 60.0% | 8.1% | 94.4% | 102.6 | DULL | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 0 | 6 | 1 | 0 | 58 | 14 | 27 | 17 | 0 | 52 | 22 | 12 | 45 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 44 | 25 | 42 | 17 | 33 | 17 | 83.3% | 12.1% | 94.2% | 106.3 | LUCKY | |
_Vs Division | 21 | 8 | 9 | 0 | 1 | 1 | 0 | 2 | 44 | 48 | -4 | 21 | 0.500 | 44 | 71 | 115 | 1 | 1 | 9 | 19 | 15 | 1 | 624 | 176 | 225 | 216 | 13 | 603 | 199 | 147 | 377 | 76 | 19 | 25.00% | 64 | 16 | 75.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 441 | 242 | 448 | 200 | 383 | 197 | 43.9% | 7.1% | 92.0% | 99.1 | DULL | |
_Vs Conference | 36 | 16 | 13 | 0 | 1 | 1 | 0 | 5 | 80 | 79 | 1 | 40 | 0.556 | 80 | 130 | 210 | 1 | 3 | 12 | 37 | 30 | 1 | 1051 | 283 | 393 | 366 | 24 | 1020 | 339 | 249 | 663 | 128 | 30 | 23.44% | 115 | 27 | 76.52% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 765 | 421 | 762 | 341 | 659 | 338 | 49.0% | 7.6% | 92.3% | 99.9 | DULL | |
_Since Last GM Reset | 64 | 24 | 26 | 0 | 2 | 2 | 2 | 8 | 138 | 147 | -9 | 66 | 0.516 | 138 | 222 | 360 | 2 | 4 | 22 | 61 | 51 | 5 | 1857 | 539 | 669 | 629 | 49 | 1859 | 594 | 425 | 1130 | 230 | 50 | 21.74% | 200 | 54 | 73.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 1368 | 751 | 1347 | 597 | 1180 | 610 | 48.6% | 7.4% | 92.1% | 99.5 | DULL | |
Total | 64 | 24 | 26 | 0 | 2 | 2 | 2 | 8 | 138 | 147 | -9 | 66 | 0.516 | 138 | 222 | 360 | 2 | 4 | 22 | 61 | 51 | 5 | 1857 | 539 | 669 | 629 | 49 | 1859 | 594 | 425 | 1130 | 230 | 50 | 21.74% | 200 | 54 | 73.00% | 0 | 767 | 1468 | 52.25% | 787 | 1486 | 52.96% | 446 | 815 | 54.72% | 1368 | 751 | 1347 | 597 | 1180 | 610 | 48.6% | 7.4% | 92.1% | 99.5 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1468 |
Neutral Zone Start | 815 |
Defensive Zone Start | 1486 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2000 |
Faceoffs Lost | 1769 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.4 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 28.7 | 30.68 |
Overtime | 29.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.2 | 2.83 |
Even Strenght Goal | 86 |
---|---|
PP Goal | 50 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 11 | 17 |
Lost | 15 | 11 |
Overtime Lost | 5 | 5 |
PP Attempt | 230 |
---|---|
PP Goal | 50 |
PK Attempt | 200 |
PK Goal Against | 54 |
Home | |
---|---|
Shots For | 29.0 |
Shots Against | 29.0 |
Goals For | 2.2 |
Goals Against | 2.3 |
Hits | 17.7 |
Shots Blocked | 9.3 |
Pim | 6.6 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Bruins2,Stars0 | RECAP | ||
2020-10-27 | @ | Stars1,Blues3 | RECAP | ||
2020-10-28 | @ | Stars1,Red Wings3 | RECAP | ||
2020-10-30 | @ | Stars3,Capitals1 | RECAP | ||
2020-11-01 | @ | Flames2,Stars3 | RECAP | ||
2020-11-03 | @ | Capitals4,Stars2 | RECAP | ||
2020-11-05 | @ | Stars4,Sabres1 | RECAP | ||
2020-11-07 | @ | Stars1,Blue Jackets2 | RECAP | ||
2020-11-09 | @ | Stars2,Penguins3 (OT) | RECAP | ||
2020-11-10 | @ | Stars2,Flyers1 | RECAP | ||
2020-11-12 | @ | Senators3,Stars1 | RECAP | ||
2020-11-15 | @ | Ducks2,Stars1 | RECAP | ||
2020-11-17 | @ | Penguins1,Stars0 | RECAP | ||
2020-11-20 | @ | Wild2,Stars1 | RECAP | ||
2020-11-23 | @ | Stars2,Avalanche4 | RECAP | ||
2020-11-24 | @ | Canadiens4,Stars2 | RECAP | ||
2020-11-27 | @ | Avalanche2,Stars1 (SO) | RECAP | ||
2020-12-02 | @ | Stars1,Jets3 | RECAP | ||
2020-12-05 | @ | Stars3,Flames6 | RECAP | ||
2020-12-06 | @ | Stars1,Canucks2 (SO) | RECAP | ||
2020-12-08 | @ | Stars3,Oilers1 | RECAP | ||
2020-12-11 | @ | Canucks0,Stars3 | RECAP | ||
2020-12-13 | @ | Jets1,Stars2 | RECAP | ||
2020-12-15 | @ | Blackhawks2,Stars3 | RECAP | ||
2020-12-17 | @ | Golden Knights1,Stars3 | RECAP | ||
2020-12-18 | @ | Stars2,Blackhawks1 | RECAP | ||
2020-12-21 | @ | Blues2,Stars1 (OT) | RECAP | ||
2020-12-23 | @ | Stars3,Wild1 | RECAP | ||
2020-12-25 | @ | Stars4,Jets2 | RECAP | ||
2020-12-27 | @ | Jets3,Stars1 | RECAP | ||
2020-12-29 | @ | Islanders2,Stars3 (SO) | RECAP | ||
2021-01-01 | @ | Devils4,Stars2 | RECAP | ||
2021-01-04 | @ | Golden Knights2,Stars4 | RECAP | ||
2021-01-05 | @ | Stars2,Predators4 | RECAP | ||
2021-01-07 | @ | Oilers3,Stars4 | RECAP | ||
2021-01-10 | @ | Stars2,Lightning1 (OT) | RECAP | ||
2021-01-11 | @ | Stars1,Panthers3 | RECAP | ||
2021-01-13 | @ | Flames5,Stars4 (SO) | RECAP | ||
2021-01-19 | @ | Avalanche3,Stars1 | RECAP | ||
2021-01-20 | @ | Stars0,Coyotes1 | RECAP | ||
2021-01-23 | @ | Predators5,Stars3 | RECAP | ||
2021-01-25 | @ | Red Wings4,Stars2 | RECAP | ||
2021-01-30 | @ | Stars4,Kings2 | RECAP | ||
2021-01-31 | @ | Stars1,Ducks2 (SO) | RECAP | ||
2021-02-02 | @ | Stars1,Sharks0 | RECAP | ||
2021-02-05 | @ | Stars2,Avalanche1 (OT) | RECAP | ||
2021-02-07 | @ | Sabres3,Stars1 | RECAP | ||
2021-02-09 | @ | Stars2,Wild3 (SO) | RECAP | ||
2021-02-18 | @ | Lightning3,Stars2 (SO) | RECAP | ||
2021-02-20 | @ | Maple Leafs3,Stars2 (SO) | RECAP | ||
2021-02-23 | @ | Stars5,Devils1 | RECAP | ||
2021-02-25 | @ | Stars2,Rangers4 | RECAP | ||
2021-02-26 | @ | Stars4,Islanders5 (SO) | RECAP | ||
2021-03-01 | @ | Wild1,Stars3 | RECAP | ||
2021-03-02 | @ | Stars3,Blues1 | RECAP | ||
2021-03-05 | @ | Hurricanes1,Stars2 | RECAP | ||
2021-03-07 | @ | Stars2,Maple Leafs1 | RECAP | ||
2021-03-09 | @ | Stars3,Canadiens2 (SO) | RECAP | ||
2021-03-10 | @ | Stars2,Senators5 | RECAP | ||
2021-03-13 | @ | Coyotes2,Stars1 | RECAP | ||
2021-03-15 | @ | Blues0,Stars4 | RECAP | ||
2021-03-17 | @ | Blackhawks4,Stars2 | RECAP | ||
2021-03-19 | @ | Stars3,Hurricanes1 | RECAP | ||
2021-03-21 | @ | Stars2,Bruins0 | RECAP | ||
2021-03-23 | @ | ||||
2021-03-26 | @ | ||||
2021-03-28 | @ | ||||
2021-03-30 | @ | ||||
2021-04-02 | @ | ||||
2021-04-04 | @ | ||||
2021-04-06 | @ | ||||
2021-04-08 | @ | ||||
2021-04-09 | @ | ||||
2021-04-12 | @ | ||||
2021-04-14 | @ | ||||
2021-04-16 | @ | ||||
2021-04-19 | @ | ||||
2021-04-20 | @ | ||||
2021-04-22 | @ | ||||
2021-04-24 | @ | ||||
2021-04-25 | @ | ||||
2021-04-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,980,193$ | 0$ | 79,980,193$ | 1,519,807$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | American Airlines Center | |
City | Dallas | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 97$ | 62$ | 35$ | 20$ | 190$ |
Attendance | 177021 | 143801 | 58145 | 118702 | 29334 |
Attendance PCT | 95.17% | 92.77% | 93.78% | 95.73% | 94.63% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
10 | 17000 - 94.44% | 593,398$ | 18,395,330$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,980,193$ | 79,980,193$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
64,500,150$ | 79,980,193$ | 64,500,150$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
5,933,977$ | 36 | 430,001$ | 15,480,036$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
15,480,036$ | 79,980,193$ | -382,420,385$ | -391,966,444$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo dal 2021 | |||||
2 ballo dal 2021 | |||||
Aku Raty | 2019 | 171 | |||
Austin Wong | 2018 | 212 | |||
Ben McCartney | 2020 | 211 | |||
Bobby Sanguinetti | |||||
Bowen Byram | 2019 | 3 | |||
Braden Doyle | 2019 | 168 | |||
Brendan Mikkelson | |||||
Bryce Brodzinski | 2019 | 199 | |||
Carl Klingberg | |||||
Case McCarthy | 2019 | 138 | |||
Chad Kolarik | |||||
Clay Wilson | |||||
Colby Williams | |||||
Cole Caufield | 2019 | 5 | |||
Cole Fonstad | 2018 | 105 | |||
Cole Reinhardt | 2020 | 189 | |||
Collin Adams | |||||
Craig Weller | |||||
Daniel O'Regan | |||||
Derek Peltier | |||||
Dmitry Zhukenov | |||||
Dustin Tokarski | Link | ||||
Eric Fehr | Link | ||||
Erik Portillo | 2019 | 73 | |||
Ilkka Pikkarainen | |||||
Ivan Chukarov | |||||
Jack Glover | |||||
Jack Thompson | 2020 | 104 | |||
Jackson LaCombe | 2019 | 44 | |||
Jacob Peterson | 2017 | 139 | |||
Jake Boltmann | 2020 | 87 | |||
Jake Massie | |||||
Janne Juvonen | |||||
Joakim Andersson | |||||
Joe Colborne | |||||
John Leonard | 2018 | 181 | |||
Jonas Andersson | |||||
Jordan Caron | |||||
Julius Nattinen | |||||
Justin Haché | |||||
Kevin Boyle | Link | ||||
Kirill Tyutyayev | 2019 | 202 | |||
Lane Zablocki | 2017 | 93 | |||
Lukas Reichel | 2020 | 25 | |||
Mackenzie Skapski | |||||
Marc Methot | Link | ||||
Marco Roy | |||||
Matia Marcantuoni | |||||
Matt Lorito | |||||
Matteson Iacopelli | |||||
Maxwell Crozier | 2019 | 106 | |||
Mitchell Miller | 2020 | 118 | |||
Morgan Ellis | |||||
Nick Baptiste | |||||
Niklas Tikkinen | |||||
Nils Aman | 2020 | 180 | |||
Oscar Moller | |||||
Oskari Laaksonen | 2017 | 109 | |||
Reto Berra | |||||
Robbie Russo | |||||
Robert Baillargeon | |||||
Roman Wick | |||||
Ross Colton | |||||
Ryan Francis | 2020 | 149 | |||
Ryan Pilon | |||||
Ryan Thang | |||||
Saku Salminen | |||||
Samuel Walker | 2017 | 199 | |||
Scott Walford | 2017 | 90 | |||
Sean Bergenheim | |||||
Sebastian Repo | 2017 | 187 | |||
Spencer Machacek | |||||
Stefan Meyer | |||||
Steve Wagner | |||||
Tanner Richard | |||||
Taylor Leier | |||||
Thomas Schemitsch | |||||
Toni Utunen | 2018 | 119 | |||
Victor Oreskovich | |||||
Zachary Lauzon | 2017 | 55 |
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