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Full Scoreboard »» |
Floride Panthers 40-13-9, 89pts · 2nd in Conference Est |
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 | 99.00 | 69 | 41 | 85 | 83 | 82 | 84 | 76 | 81 | 87 | 83 | 96 | 89 | 82 | 73 | 77 | 74 | 50 | 78 | 26 | 5,350,000$/3yrs | |||
![]() | 0 | C | 100.00 | 59 | 41 | 78 | 86 | 81 | 88 | 87 | 85 | 83 | 86 | 88 | 64 | 87 | 67 | 86 | 88 | 50 | 76 | 22 | 10,000,000$/7yrs | |||
![]() | 0 | LW | 100.00 | 63 | 41 | 79 | 91 | 78 | 85 | 83 | 86 | 57 | 82 | 73 | 56 | 83 | 77 | 76 | 73 | 50 | 73 | 27 | 6,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 55 | 41 | 89 | 86 | 64 | 85 | 87 | 84 | 79 | 83 | 80 | 66 | 82 | 67 | 68 | 63 | 50 | 73 | 23 | 6,750,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 79 | 40 | 84 | 78 | 76 | 85 | 89 | 77 | 80 | 75 | 82 | 76 | 78 | 71 | 73 | 84 | 50 | 73 | 24 | 4,850,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 42 | 84 | 78 | 83 | 84 | 67 | 76 | 84 | 77 | 77 | 74 | 80 | 73 | 76 | 71 | 50 | 71 | 25 | 5,625,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 77 | 45 | 85 | 74 | 87 | 82 | 89 | 72 | 78 | 73 | 71 | 76 | 74 | 75 | 71 | 66 | 50 | 71 | 27 | 3,200,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 86 | 42 | 78 | 65 | 83 | 74 | 88 | 64 | 76 | 70 | 60 | 75 | 62 | 73 | 67 | 49 | 50 | 67 | 26 | 1,275,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 38 | 78 | 76 | 67 | 77 | 84 | 73 | 78 | 72 | 64 | 63 | 75 | 71 | 67 | 48 | 50 | 66 | 25 | 3,500,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 74 | 47 | 86 | 68 | 85 | 82 | 75 | 66 | 62 | 67 | 61 | 63 | 66 | 63 | 65 | 59 | 50 | 64 | 21 | 736,666$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 58 | 38 | 87 | 69 | 70 | 83 | 79 | 67 | 61 | 68 | 63 | 62 | 70 | 65 | 66 | 54 | 50 | 64 | 22 | 925,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 40 | 85 | 68 | 76 | 83 | 62 | 67 | 71 | 66 | 66 | 59 | 68 | 61 | 62 | 74 | 50 | 63 | 20 | 897,500$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 42 | 83 | 73 | 87 | 92 | 80 | 71 | 30 | 82 | 64 | 83 | 56 | 73 | 67 | 71 | 50 | 73 | 26 | 4,167,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 83 | 66 | 76 | 87 | 88 | 64 | 30 | 79 | 55 | 88 | 52 | 73 | 67 | 72 | 50 | 71 | 26 | 4,167,000$/1yrs | |||
![]() | 0 | D | 100.00 | 90 | 46 | 74 | 62 | 75 | 82 | 84 | 59 | 30 | 73 | 56 | 85 | 51 | 78 | 73 | 52 | 50 | 71 | 29 | 3,350,000$/1yrs | |||
![]() | 0 | D | 100.00 | 55 | 45 | 80 | 65 | 85 | 88 | 80 | 63 | 30 | 74 | 61 | 90 | 52 | 71 | 66 | 63 | 50 | 71 | 24 | 4,025,000$/5yrs | |||
![]() | 0 | D | 100.00 | 77 | 41 | 79 | 69 | 78 | 87 | 88 | 68 | 30 | 71 | 62 | 73 | 54 | 75 | 69 | 63 | 50 | 70 | 27 | 4,833,333$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 42 | 72 | 66 | 81 | 85 | 72 | 64 | 30 | 75 | 60 | 65 | 53 | 69 | 64 | 71 | 50 | 66 | 24 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.94 | 68 | 42 | 82 | 74 | 79 | 84 | 81 | 72 | 60 | 75 | 69 | 73 | 68 | 71 | 70 | 66 | 50 | 70 |
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 | 96 | 93 | 91 | 79 | 95 | 94 | 96 | 95 | 94 | 96 | 95 | 82 | 87 | 52 | 50 | 89 | 32 | 7,000,000$/2yrs |
![]() | 0 | 99.00 | 84 | 88 | 86 | 87 | 83 | 82 | 84 | 83 | 82 | 84 | 83 | 84 | 88 | 51 | 50 | 81 | 33 | 3,333,333$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 90 | 91 | 89 | 83 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 83 | 88 | 52 | 50 | 85 |
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 | 62 | 46 | 87 | 62 | 77 | 73 | 75 | 60 | 73 | 59 | 61 | 58 | 62 | 80 | 78 | 46 | 45 | 60 | 31 | 700,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 56 | 38 | 87 | 61 | 66 | 75 | 72 | 59 | 54 | 58 | 58 | 56 | 61 | 65 | 64 | 58 | 93 | 57 | 22 | 768,333$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 45 | 81 | 66 | 91 | 82 | 78 | 64 | 30 | 70 | 57 | 68 | 52 | 65 | 63 | 56 | 83 | 66 | 22 | 678,889$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 38 | 86 | 66 | 80 | 78 | 66 | 64 | 30 | 63 | 61 | 62 | 53 | 65 | 66 | 71 | 93 | 62 | 22 | 697,500$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 47 | 87 | 64 | 72 | 86 | 88 | 61 | 30 | 57 | 55 | 62 | 46 | 67 | 64 | 57 | 91 | 62 | 23 | 874,125$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 45 | 87 | 59 | 80 | 83 | 79 | 58 | 30 | 57 | 57 | 63 | 46 | 67 | 64 | 72 | 92 | 61 | 23 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 42 | 87 | 60 | 74 | 84 | 77 | 59 | 30 | 58 | 57 | 61 | 49 | 62 | 63 | 83 | 92 | 61 | 20 | 894,167$/3yrs | |||
![]() | 0 | D | 100.00 | 64 | 46 | 88 | 59 | 81 | 75 | 74 | 58 | 30 | 57 | 56 | 60 | 45 | 69 | 65 | 71 | 89 | 60 | 24 | 1,416,667$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 43 | 89 | 59 | 76 | 83 | 72 | 58 | 30 | 56 | 57 | 60 | 48 | 71 | 66 | 53 | 45 | 60 | 25 | 716,667$/3yrs | |||
![]() | 0 | D | 100.00 | 57 | 43 | 89 | 62 | 71 | 78 | 74 | 61 | 30 | 59 | 58 | 63 | 46 | 67 | 64 | 63 | 92 | 60 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 43 | 89 | 63 | 70 | 81 | 72 | 61 | 30 | 59 | 58 | 60 | 52 | 63 | 61 | 72 | 93 | 60 | 21 | 761,666$/2yrs | |||
![]() | 0 | D | 100.00 | 56 | 43 | 88 | 61 | 68 | 82 | 74 | 59 | 30 | 64 | 57 | 58 | 47 | 65 | 63 | 52 | 92 | 59 | 22 | 716,666$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 39 | 90 | 65 | 68 | 72 | 75 | 63 | 30 | 64 | 55 | 57 | 51 | 59 | 60 | 84 | 91 | 59 | 18 | 925,000$/3yrs | |||
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 | Sebastien Proulx |
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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 | Mika Zibanejad | 0 | C | 62 | 31 | 29 | 60 | 10 | 10 | 0 | 68 | 211 | 66 | 143 | 14.69% | 32 | 20.60 | 12 | 12 | 24 | 196 | 0 | 0 | 0 | 181 | 7 | 4 | 55.42% | 1530 | 48 | 23 | 0 | 0 | 0.94 | 2 | 11 | ||
2 | Taylor Hall | 0 | LW | 62 | 20 | 37 | 57 | 6 | 42 | 0 | 84 | 215 | 75 | 134 | 9.30% | 19 | 17.35 | 8 | 14 | 22 | 197 | 0 | 0 | 0 | 5 | 3 | 1 | 35.14% | 74 | 71 | 12 | 0 | 1 | 1.06 | 5 | 12 | ||
3 | Jack Eichel | 0 | C | 62 | 18 | 31 | 49 | 4 | 38 | 0 | 73 | 202 | 58 | 117 | 8.91% | 19 | 16.40 | 7 | 13 | 20 | 160 | 0 | 0 | 0 | 0 | 4 | 1 | 53.97% | 1008 | 43 | 16 | 0 | 0 | 0.96 | 1 | 12 | ||
4 | Brayden Point | 0 | C | 62 | 15 | 24 | 39 | 6 | 2 | 0 | 33 | 180 | 56 | 123 | 8.33% | 20 | 15.68 | 5 | 11 | 16 | 217 | 0 | 0 | 0 | 0 | 4 | 1 | 50.67% | 596 | 40 | 20 | 0 | 0 | 0.80 | 0 | 3 | ||
5 | Tomas Hertl | 0 | C/LW | 62 | 19 | 20 | 39 | 6 | 35 | 5 | 54 | 166 | 37 | 91 | 11.45% | 12 | 17.37 | 9 | 10 | 19 | 159 | 0 | 0 | 0 | 39 | 7 | 0 | 53.09% | 81 | 27 | 28 | 1 | 0 | 0.72 | 0 | 0 | ||
6 | Elias Lindholm | 0 | C/RW | 62 | 11 | 16 | 27 | -1 | 20 | 0 | 93 | 151 | 53 | 91 | 7.28% | 31 | 20.32 | 2 | 7 | 9 | 197 | 0 | 0 | 0 | 176 | 1 | 0 | 58.33% | 72 | 31 | 20 | 1 | 0 | 0.43 | 0 | 0 | ||
7 | Charlie Coyle | 0 | C/RW | 62 | 10 | 17 | 27 | 20 | 18 | 0 | 90 | 84 | 21 | 50 | 11.90% | 20 | 18.00 | 4 | 4 | 8 | 156 | 1 | 0 | 1 | 112 | 1 | 1 | 46.25% | 80 | 12 | 19 | 0 | 0 | 0.48 | 0 | 0 | ||
8 | Oscar Klefbom | 0 | D | 62 | 5 | 17 | 22 | 13 | 51 | 5 | 78 | 72 | 33 | 37 | 6.94% | 65 | 23.69 | 4 | 8 | 12 | 215 | 0 | 0 | 0 | 124 | 1 | 0 | 0.00% | 0 | 34 | 44 | 0 | 0 | 0.30 | 0 | 0 | ||
9 | Alexander Kerfoot | 0 | C/LW | 62 | 9 | 8 | 17 | 8 | 34 | 0 | 60 | 136 | 39 | 77 | 6.62% | 20 | 12.23 | 1 | 0 | 1 | 9 | 0 | 0 | 0 | 0 | 2 | 3 | 42.11% | 38 | 25 | 16 | 0 | 0 | 0.45 | 0 | 0 | ||
10 | Jonas Brodin | 0 | D | 62 | 2 | 12 | 14 | 14 | 32 | 0 | 44 | 51 | 17 | 20 | 3.92% | 76 | 23.18 | 1 | 2 | 3 | 137 | 0 | 0 | 0 | 176 | 0 | 0 | 0.00% | 0 | 7 | 55 | 0 | 0 | 0.19 | 0 | 0 | ||
11 | Sean Kuraly | 0 | C/LW | 62 | 5 | 5 | 10 | 1 | 10 | 0 | 80 | 64 | 24 | 43 | 7.81% | 20 | 11.11 | 0 | 0 | 0 | 6 | 0 | 1 | 1 | 115 | 2 | 1 | 48.03% | 229 | 14 | 15 | 0 | 0 | 0.29 | 0 | 0 | ||
12 | Alexandre Texier | 0 | C/LW | 62 | 0 | 9 | 9 | 0 | 2 | 0 | 38 | 91 | 29 | 56 | 0.00% | 6 | 9.96 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 0 | 0 | 48.28% | 29 | 22 | 11 | 0 | 0 | 0.29 | 0 | 0 | ||
13 | Madison Bowey | 0 | D | 62 | 1 | 6 | 7 | 9 | 24 | 0 | 65 | 34 | 22 | 17 | 2.94% | 53 | 17.61 | 0 | 1 | 1 | 139 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 7 | 26 | 0 | 0 | 0.13 | 0 | 0 | ||
14 | Troy Terry | 0 | C/RW | 62 | 3 | 3 | 6 | -2 | 10 | 0 | 20 | 84 | 29 | 50 | 3.57% | 14 | 8.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 21.43% | 14 | 16 | 5 | 0 | 0 | 0.22 | 0 | 0 | ||
15 | Radko Gudas | 0 | D | 62 | 0 | 5 | 5 | 13 | 48 | 0 | 89 | 42 | 13 | 16 | 0.00% | 59 | 17.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0 | 0 | 0.00% | 0 | 4 | 51 | 0 | 0 | 0.09 | 0 | 0 | ||
16 | Brett Pesce | 0 | D | 62 | 0 | 5 | 5 | 2 | 28 | 0 | 38 | 32 | 18 | 20 | 0.00% | 69 | 19.60 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 180 | 0 | 0 | 0.00% | 0 | 5 | 61 | 0 | 0 | 0.08 | 0 | 0 | ||
17 | Justin Faulk | 0 | D | 62 | 1 | 2 | 3 | -1 | 24 | 0 | 83 | 38 | 27 | 16 | 2.63% | 53 | 17.18 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 63 | 1 | 0 | 0.00% | 0 | 10 | 41 | 0 | 0 | 0.06 | 0 | 1 | ||
18 | Drake Batherson | 0 | RW | 62 | 2 | 1 | 3 | 8 | 6 | 0 | 54 | 39 | 23 | 18 | 5.13% | 14 | 12.28 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 32.26% | 31 | 1 | 12 | 0 | 0 | 0.08 | 0 | 0 | ||
Team Total or Average | 1116 | 152 | 247 | 399 | 116 | 434 | 10 | 1144 | 1892 | 640 | 1119 | 8.03% | 602 | 16.58 | 53 | 83 | 136 | 1817 | 1 | 1 | 2 | 1332 | 34 | 13 | 52.75% | 3782 | 417 | 475 | 2 | 1 | 0.43 | 8 | 39 |
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 | Tuukka Rask | 51 | 33 | 11 | 6 | 0.934 | 1.90 | 3063 | 0 | 6 | 97 | 1470 | 655 | 4 | 0 | 0.810 | 21 | 50 | 12 | 18 | 6 | 2 | |
2 | Thomas Greiss | 13 | 7 | 2 | 3 | 0.947 | 1.61 | 744 | 0 | 2 | 20 | 374 | 203 | 0 | 0 | 0.733 | 15 | 12 | 50 | 5 | 0 | 0 | |
Team Total or Average | 64 | 40 | 13 | 9 | 0.937 | 1.84 | 3808 | 0 | 8 | 117 | 1844 | 858 | 4 | 0 | 0.778 | 36 | 62 | 62 | 23 | 6 | 2 |
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 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 0 | 1 | 57 | 25 | 16 | 16 | 3 | 50 | 7 | 10 | 37 | 11 | 2 | 18.18% | 5 | 1 | 80.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 47 | 28 | 41 | 20 | 36 | 17 | 75.0% | 8.8% | 96.0% | 104.8 | DULL | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 46 | 12 | 15 | 19 | 0 | 54 | 16 | 22 | 37 | 4 | 1 | 25.00% | 11 | 4 | 63.64% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 41 | 23 | 43 | 18 | 35 | 16 | 33.3% | 6.5% | 85.2% | 91.7 | Unlucky | |
3 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 0 | 2 | 3 | 1 | 75 | 15 | 31 | 26 | 3 | 40 | 14 | 14 | 38 | 10 | 4 | 40.00% | 8 | 1 | 87.50% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 49 | 29 | 34 | 18 | 35 | 18 | 66.7% | 8.0% | 95.0% | 103.0 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 8 | 7 | 14 | 0 | 26 | 8 | 12 | 22 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 20 | 11 | 20 | 10 | 19 | 8 | 100.0% | 10.3% | 96.2% | 106.5 | LUCKY | |
5 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 12 | 7 | 5 | 5 | 0.833 | 12 | 21 | 33 | 0 | 0 | 1 | 8 | 3 | 0 | 104 | 28 | 43 | 33 | 0 | 99 | 28 | 33 | 57 | 14 | 4 | 28.57% | 8 | 2 | 75.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 70 | 43 | 61 | 24 | 49 | 26 | 61.5% | 11.5% | 92.9% | 104.5 | LUCKY | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 2 | 4 | 3 | 0 | 72 | 22 | 27 | 23 | 0 | 65 | 14 | 16 | 33 | 11 | 6 | 54.55% | 8 | 1 | 87.50% | 1 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 44 | 26 | 43 | 18 | 32 | 16 | 60.0% | 12.5% | 95.4% | 107.9 | LUCKY | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 52 | 15 | 19 | 18 | 0 | 54 | 19 | 14 | 32 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 42 | 25 | 42 | 17 | 34 | 17 | 60.0% | 9.6% | 94.4% | 104.1 | LUCKY | |
8 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 2 | 9 | 5 | 0.833 | 11 | 18 | 29 | 0 | 2 | 2 | 4 | 5 | 0 | 92 | 33 | 36 | 23 | 0 | 103 | 37 | 10 | 45 | 11 | 2 | 18.18% | 5 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 65 | 39 | 65 | 26 | 50 | 25 | 81.8% | 12.0% | 98.1% | 110.0 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 36 | 5 | 14 | 17 | 0 | 29 | 7 | 10 | 14 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 20 | 12 | 22 | 9 | 16 | 7 | 100.0% | 2.8% | 100.0% | 102.8 | DULL | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 53 | 26 | 14 | 13 | 0 | 68 | 20 | 8 | 34 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 45 | 28 | 43 | 16 | 31 | 16 | 50.0% | 5.7% | 95.6% | 101.2 | DULL | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 56 | 15 | 19 | 22 | 0 | 54 | 23 | 22 | 29 | 5 | 1 | 20.00% | 11 | 3 | 72.73% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 43 | 24 | 40 | 18 | 36 | 17 | 57.1% | 8.9% | 88.9% | 97.8 | Unlucky | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 9 | 17 | 0 | 0 | 1 | 6 | 0 | 1 | 62 | 16 | 24 | 22 | 2 | 66 | 23 | 8 | 34 | 7 | 1 | 14.29% | 4 | 1 | 75.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 46 | 26 | 42 | 18 | 35 | 18 | 58.3% | 12.9% | 90.9% | 103.8 | FUN | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 65 | 26 | 26 | 13 | 0 | 41 | 10 | 10 | 37 | 10 | 1 | 10.00% | 5 | 3 | 40.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 50 | 30 | 33 | 16 | 36 | 18 | 75.0% | 6.2% | 90.2% | 96.4 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 22 | 6 | 14 | 2 | 0 | 33 | 10 | 6 | 17 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 19 | 11 | 21 | 9 | 18 | 9 | 66.7% | 9.1% | 97.0% | 106.1 | LUCKY | |
15 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 69 | 21 | 28 | 18 | 5 | 60 | 24 | 16 | 34 | 0 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 46 | 28 | 42 | 17 | 35 | 17 | 71.4% | 7.2% | 93.3% | 100.6 | DULL | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 7 | 7 | 9 | 0 | 39 | 19 | 6 | 18 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 19 | 11 | 24 | 8 | 15 | 7 | 0.0% | 4.3% | 94.9% | 99.2 | DULL | |
17 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 8 | 1 | 5 | 0.833 | 9 | 13 | 22 | 0 | 0 | 2 | 3 | 3 | 1 | 83 | 27 | 35 | 21 | 7 | 82 | 22 | 22 | 62 | 16 | 5 | 31.25% | 11 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 72 | 40 | 61 | 29 | 55 | 28 | 33.3% | 10.8% | 90.2% | 101.1 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 37 | 7 | 8 | 22 | 0 | 24 | 8 | 0 | 24 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 26 | 16 | 18 | 7 | 15 | 9 | 33.3% | 2.7% | 91.7% | 94.4 | DULL | |
19 | 3 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 14 | 25 | 0 | 0 | 4 | 2 | 3 | 3 | 88 | 29 | 29 | 30 | 6 | 99 | 30 | 22 | 59 | 13 | 6 | 46.15% | 11 | 2 | 81.82% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 67 | 37 | 67 | 28 | 54 | 26 | 50.0% | 12.5% | 92.9% | 105.4 | LUCKY | |
20 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 1 | 72 | 14 | 37 | 20 | 7 | 72 | 30 | 2 | 57 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 46 | 26 | 43 | 18 | 39 | 20 | 37.5% | 4.2% | 93.1% | 97.2 | DULL | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 4 | 0.667 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 111 | 22 | 43 | 46 | 0 | 74 | 28 | 16 | 64 | 9 | 3 | 33.33% | 8 | 3 | 62.50% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 70 | 44 | 60 | 25 | 48 | 24 | 50.0% | 4.5% | 93.2% | 97.7 | DULL | |
22 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 11 | 0 | 5 | 0.625 | 11 | 19 | 30 | 0 | 0 | 3 | 5 | 3 | 0 | 112 | 36 | 46 | 29 | 1 | 132 | 47 | 26 | 68 | 15 | 5 | 33.33% | 13 | 1 | 92.31% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 85 | 49 | 83 | 35 | 71 | 35 | 37.5% | 9.8% | 91.7% | 101.5 | LUCKY | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 7 | 13 | 0 | 1 | 2 | 2 | 2 | 0 | 50 | 16 | 21 | 13 | 0 | 64 | 28 | 14 | 37 | 10 | 2 | 20.00% | 7 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 44 | 25 | 41 | 17 | 34 | 18 | 66.7% | 12.0% | 96.9% | 108.9 | LUCKY | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 0 | 3 | 2 | 0 | 63 | 22 | 21 | 20 | 0 | 61 | 16 | 8 | 28 | 10 | 2 | 20.00% | 4 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 45 | 28 | 41 | 17 | 33 | 16 | 75.0% | 7.9% | 98.4% | 106.3 | DULL | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 0 | 2 | 4 | 0 | 72 | 24 | 20 | 28 | 0 | 66 | 13 | 29 | 31 | 8 | 1 | 12.50% | 10 | 4 | 60.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 48 | 28 | 38 | 16 | 33 | 18 | 71.4% | 8.3% | 90.9% | 99.2 | Unlucky | |
26 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 9 | -5 | 1 | 0.167 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 87 | 24 | 31 | 32 | 4 | 99 | 39 | 24 | 56 | 8 | 0 | 0.00% | 12 | 4 | 66.67% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 67 | 38 | 65 | 26 | 52 | 26 | 44.4% | 4.6% | 90.9% | 95.5 | Unlucky | |
27 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 6 | 1.000 | 7 | 12 | 19 | 0 | 1 | 1 | 3 | 2 | 1 | 89 | 26 | 31 | 25 | 7 | 78 | 24 | 20 | 61 | 12 | 1 | 8.33% | 10 | 2 | 80.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 66 | 37 | 60 | 26 | 54 | 28 | 75.0% | 7.9% | 94.9% | 102.7 | DULL | |
28 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 8 | -6 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 65 | 21 | 22 | 22 | 4 | 58 | 14 | 14 | 32 | 5 | 1 | 20.00% | 7 | 4 | 42.86% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 44 | 26 | 42 | 19 | 37 | 18 | 20.0% | 3.1% | 86.2% | 89.3 | Unlucky | |
29 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 0 | 3 | 1 | 1 | 50 | 14 | 15 | 21 | 3 | 44 | 24 | 20 | 47 | 7 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 41 | 21 | 45 | 20 | 37 | 18 | 83.3% | 10.0% | 97.7% | 107.7 | LUCKY | |
_Vs Division | 18 | 10 | 2 | 0 | 1 | 2 | 3 | 0 | 53 | 29 | 24 | 30 | 0.833 | 53 | 84 | 137 | 0 | 4 | 14 | 19 | 16 | 5 | 552 | 186 | 205 | 157 | 13 | 526 | 161 | 100 | 312 | 80 | 22 | 27.50% | 51 | 8 | 84.31% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 411 | 243 | 367 | 162 | 317 | 158 | 59.6% | 9.6% | 94.5% | 104.1 | LUCKY | |
_Vs Conference | 39 | 21 | 6 | 0 | 2 | 3 | 4 | 3 | 105 | 75 | 30 | 60 | 0.769 | 105 | 168 | 273 | 0 | 5 | 23 | 44 | 32 | 7 | 1203 | 364 | 454 | 372 | 36 | 1126 | 368 | 267 | 707 | 150 | 38 | 25.33% | 126 | 25 | 80.16% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 891 | 527 | 803 | 350 | 684 | 345 | 57.3% | 8.7% | 93.3% | 102.1 | DULL | |
_Since Last GM Reset | 62 | 32 | 13 | 0 | 2 | 3 | 6 | 6 | 158 | 123 | 35 | 89 | 0.718 | 158 | 247 | 405 | 0 | 8 | 31 | 68 | 51 | 10 | 1892 | 562 | 699 | 617 | 52 | 1834 | 602 | 434 | 1144 | 225 | 53 | 23.56% | 205 | 41 | 80.00% | 1 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 1401 | 824 | 1294 | 559 | 1088 | 548 | 56.1% | 8.4% | 93.3% | 101.6 | DULL | |
Total | 62 | 32 | 13 | 0 | 2 | 3 | 6 | 6 | 158 | 123 | 35 | 89 | 0.718 | 158 | 247 | 405 | 0 | 8 | 31 | 68 | 51 | 10 | 1892 | 562 | 699 | 617 | 52 | 1834 | 602 | 434 | 1144 | 225 | 53 | 23.56% | 205 | 41 | 80.00% | 1 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 1401 | 824 | 1294 | 559 | 1088 | 548 | 56.1% | 8.4% | 93.3% | 101.6 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1512 |
Neutral Zone Start | 839 |
Defensive Zone Start | 1431 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1995 |
Faceoffs Lost | 1787 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 30.3 | 30.68 |
Overtime | 31.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 104 |
---|---|
PP Goal | 53 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 19 | 21 |
Lost | 6 | 7 |
Overtime Lost | 5 | 4 |
PP Attempt | 225 |
---|---|
PP Goal | 53 |
PK Attempt | 205 |
PK Goal Against | 41 |
Home | |
---|---|
Shots For | 30.5 |
Shots Against | 29.6 |
Goals For | 2.5 |
Goals Against | 2.0 |
Hits | 18.5 |
Shots Blocked | 9.7 |
Pim | 7.0 |
Projected Total Cap Hit | 80,984,832$ |
Projected Cap Space | 515,168$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 62,440,632$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Panthers Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kerfoot ![]() | C/LW | 25 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||
Alexandre Texier ![]() | C/LW | 20 | 897,500$ | 897,500$ | 897,500$ | ||||||
Brayden Point ![]() | C | 23 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | |||||
Brett Pesce ![]() | D | 24 | 4,025,000$ | 4,025,000$ | 4,025,000$ | 4,025,000$ | 4,025,000$ | 4,025,000$ | |||
Charlie Coyle ![]() | C/RW | 27 | 3,200,000$ | 3,200,000$ | |||||||
Drake Batherson ![]() | RW | 21 | 736,666$ | 736,666$ | 736,666$ | ||||||
Elias Lindholm ![]() | C/RW | 24 | 4,850,000$ | 4,850,000$ | 4,850,000$ | 4,850,000$ | 4,850,000$ | 4,850,000$ | |||
Jack Eichel ![]() | C | 22 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | |
Jonas Brodin ![]() | D | 26 | 4,167,000$ | 4,167,000$ | |||||||
Justin Faulk ![]() | D | 27 | 4,833,333$ | 4,833,333$ | |||||||
Madison Bowey ![]() | D | 24 | 1,000,000$ | 1,000,000$ | |||||||
Mika Zibanejad ![]() | C | 26 | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | |||||
Oscar Klefbom ![]() | D | 26 | 4,167,000$ | 4,167,000$ | 4,167,000$ | ||||||
Radko Gudas ![]() | D | 29 | 3,350,000$ | 3,350,000$ | |||||||
Sean Kuraly ![]() | C/LW | 26 | 1,275,000$ | 1,275,000$ | 1,275,000$ | ||||||
Taylor Hall ![]() | LW | 27 | 6,000,000$ | 6,000,000$ | |||||||
Thomas Greiss ![]() | G | 33 | 3,333,333$ | 3,333,333$ | |||||||
Tomas Hertl ![]() | C/LW | 25 | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | |||||
Troy Terry ![]() | C/RW | 22 | 925,000$ | 925,000$ | |||||||
Tuukka Rask ![]() | G | 32 | 7,000,000$ | 7,000,000$ | 7,000,000$ |
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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 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 0 | 1 | 57 | 25 | 16 | 16 | 3 | 50 | 7 | 10 | 37 | 11 | 2 | 18.18% | 5 | 1 | 80.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 47 | 28 | 41 | 20 | 36 | 17 | 75.0% | 8.8% | 96.0% | 104.8 | DULL | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 46 | 12 | 15 | 19 | 0 | 54 | 16 | 22 | 37 | 4 | 1 | 25.00% | 11 | 4 | 63.64% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 41 | 23 | 43 | 18 | 35 | 16 | 33.3% | 6.5% | 85.2% | 91.7 | Unlucky | |
3 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 0 | 2 | 3 | 1 | 75 | 15 | 31 | 26 | 3 | 40 | 14 | 14 | 38 | 10 | 4 | 40.00% | 8 | 1 | 87.50% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 49 | 29 | 34 | 18 | 35 | 18 | 66.7% | 8.0% | 95.0% | 103.0 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 8 | 7 | 14 | 0 | 26 | 8 | 12 | 22 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 20 | 11 | 20 | 10 | 19 | 8 | 100.0% | 10.3% | 96.2% | 106.5 | LUCKY | |
5 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 12 | 7 | 5 | 5 | 0.833 | 12 | 21 | 33 | 0 | 0 | 1 | 8 | 3 | 0 | 104 | 28 | 43 | 33 | 0 | 99 | 28 | 33 | 57 | 14 | 4 | 28.57% | 8 | 2 | 75.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 70 | 43 | 61 | 24 | 49 | 26 | 61.5% | 11.5% | 92.9% | 104.5 | LUCKY | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 2 | 4 | 3 | 0 | 72 | 22 | 27 | 23 | 0 | 65 | 14 | 16 | 33 | 11 | 6 | 54.55% | 8 | 1 | 87.50% | 1 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 44 | 26 | 43 | 18 | 32 | 16 | 60.0% | 12.5% | 95.4% | 107.9 | LUCKY | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 52 | 15 | 19 | 18 | 0 | 54 | 19 | 14 | 32 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 42 | 25 | 42 | 17 | 34 | 17 | 60.0% | 9.6% | 94.4% | 104.1 | LUCKY | |
8 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 11 | 2 | 9 | 5 | 0.833 | 11 | 18 | 29 | 0 | 2 | 2 | 4 | 5 | 0 | 92 | 33 | 36 | 23 | 0 | 103 | 37 | 10 | 45 | 11 | 2 | 18.18% | 5 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 65 | 39 | 65 | 26 | 50 | 25 | 81.8% | 12.0% | 98.1% | 110.0 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 36 | 5 | 14 | 17 | 0 | 29 | 7 | 10 | 14 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 20 | 12 | 22 | 9 | 16 | 7 | 100.0% | 2.8% | 100.0% | 102.8 | DULL | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 53 | 26 | 14 | 13 | 0 | 68 | 20 | 8 | 34 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 45 | 28 | 43 | 16 | 31 | 16 | 50.0% | 5.7% | 95.6% | 101.2 | DULL | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 56 | 15 | 19 | 22 | 0 | 54 | 23 | 22 | 29 | 5 | 1 | 20.00% | 11 | 3 | 72.73% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 43 | 24 | 40 | 18 | 36 | 17 | 57.1% | 8.9% | 88.9% | 97.8 | Unlucky | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 9 | 17 | 0 | 0 | 1 | 6 | 0 | 1 | 62 | 16 | 24 | 22 | 2 | 66 | 23 | 8 | 34 | 7 | 1 | 14.29% | 4 | 1 | 75.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 46 | 26 | 42 | 18 | 35 | 18 | 58.3% | 12.9% | 90.9% | 103.8 | FUN | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 65 | 26 | 26 | 13 | 0 | 41 | 10 | 10 | 37 | 10 | 1 | 10.00% | 5 | 3 | 40.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 50 | 30 | 33 | 16 | 36 | 18 | 75.0% | 6.2% | 90.2% | 96.4 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 22 | 6 | 14 | 2 | 0 | 33 | 10 | 6 | 17 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 19 | 11 | 21 | 9 | 18 | 9 | 66.7% | 9.1% | 97.0% | 106.1 | LUCKY | |
15 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 69 | 21 | 28 | 18 | 5 | 60 | 24 | 16 | 34 | 0 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 46 | 28 | 42 | 17 | 35 | 17 | 71.4% | 7.2% | 93.3% | 100.6 | DULL | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 7 | 7 | 9 | 0 | 39 | 19 | 6 | 18 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 19 | 11 | 24 | 8 | 15 | 7 | 0.0% | 4.3% | 94.9% | 99.2 | DULL | |
17 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 8 | 1 | 5 | 0.833 | 9 | 13 | 22 | 0 | 0 | 2 | 3 | 3 | 1 | 83 | 27 | 35 | 21 | 7 | 82 | 22 | 22 | 62 | 16 | 5 | 31.25% | 11 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 72 | 40 | 61 | 29 | 55 | 28 | 33.3% | 10.8% | 90.2% | 101.1 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 37 | 7 | 8 | 22 | 0 | 24 | 8 | 0 | 24 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 26 | 16 | 18 | 7 | 15 | 9 | 33.3% | 2.7% | 91.7% | 94.4 | DULL | |
19 | 3 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 14 | 25 | 0 | 0 | 4 | 2 | 3 | 3 | 88 | 29 | 29 | 30 | 6 | 99 | 30 | 22 | 59 | 13 | 6 | 46.15% | 11 | 2 | 81.82% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 67 | 37 | 67 | 28 | 54 | 26 | 50.0% | 12.5% | 92.9% | 105.4 | LUCKY | |
20 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 1 | 72 | 14 | 37 | 20 | 7 | 72 | 30 | 2 | 57 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 46 | 26 | 43 | 18 | 39 | 20 | 37.5% | 4.2% | 93.1% | 97.2 | DULL | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 4 | 0.667 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 111 | 22 | 43 | 46 | 0 | 74 | 28 | 16 | 64 | 9 | 3 | 33.33% | 8 | 3 | 62.50% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 70 | 44 | 60 | 25 | 48 | 24 | 50.0% | 4.5% | 93.2% | 97.7 | DULL | |
22 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 11 | 0 | 5 | 0.625 | 11 | 19 | 30 | 0 | 0 | 3 | 5 | 3 | 0 | 112 | 36 | 46 | 29 | 1 | 132 | 47 | 26 | 68 | 15 | 5 | 33.33% | 13 | 1 | 92.31% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 85 | 49 | 83 | 35 | 71 | 35 | 37.5% | 9.8% | 91.7% | 101.5 | LUCKY | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 7 | 13 | 0 | 1 | 2 | 2 | 2 | 0 | 50 | 16 | 21 | 13 | 0 | 64 | 28 | 14 | 37 | 10 | 2 | 20.00% | 7 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 44 | 25 | 41 | 17 | 34 | 18 | 66.7% | 12.0% | 96.9% | 108.9 | LUCKY | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 0 | 3 | 2 | 0 | 63 | 22 | 21 | 20 | 0 | 61 | 16 | 8 | 28 | 10 | 2 | 20.00% | 4 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 45 | 28 | 41 | 17 | 33 | 16 | 75.0% | 7.9% | 98.4% | 106.3 | DULL | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 0 | 2 | 4 | 0 | 72 | 24 | 20 | 28 | 0 | 66 | 13 | 29 | 31 | 8 | 1 | 12.50% | 10 | 4 | 60.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 48 | 28 | 38 | 16 | 33 | 18 | 71.4% | 8.3% | 90.9% | 99.2 | Unlucky | |
26 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 9 | -5 | 1 | 0.167 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 87 | 24 | 31 | 32 | 4 | 99 | 39 | 24 | 56 | 8 | 0 | 0.00% | 12 | 4 | 66.67% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 67 | 38 | 65 | 26 | 52 | 26 | 44.4% | 4.6% | 90.9% | 95.5 | Unlucky | |
27 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 6 | 1.000 | 7 | 12 | 19 | 0 | 1 | 1 | 3 | 2 | 1 | 89 | 26 | 31 | 25 | 7 | 78 | 24 | 20 | 61 | 12 | 1 | 8.33% | 10 | 2 | 80.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 66 | 37 | 60 | 26 | 54 | 28 | 75.0% | 7.9% | 94.9% | 102.7 | DULL | |
28 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 8 | -6 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 65 | 21 | 22 | 22 | 4 | 58 | 14 | 14 | 32 | 5 | 1 | 20.00% | 7 | 4 | 42.86% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 44 | 26 | 42 | 19 | 37 | 18 | 20.0% | 3.1% | 86.2% | 89.3 | Unlucky | |
29 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 0 | 3 | 1 | 1 | 50 | 14 | 15 | 21 | 3 | 44 | 24 | 20 | 47 | 7 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 41 | 21 | 45 | 20 | 37 | 18 | 83.3% | 10.0% | 97.7% | 107.7 | LUCKY | |
_Vs Division | 18 | 10 | 2 | 0 | 1 | 2 | 3 | 0 | 53 | 29 | 24 | 30 | 0.833 | 53 | 84 | 137 | 0 | 4 | 14 | 19 | 16 | 5 | 552 | 186 | 205 | 157 | 13 | 526 | 161 | 100 | 312 | 80 | 22 | 27.50% | 51 | 8 | 84.31% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 411 | 243 | 367 | 162 | 317 | 158 | 59.6% | 9.6% | 94.5% | 104.1 | LUCKY | |
_Vs Conference | 39 | 21 | 6 | 0 | 2 | 3 | 4 | 3 | 105 | 75 | 30 | 60 | 0.769 | 105 | 168 | 273 | 0 | 5 | 23 | 44 | 32 | 7 | 1203 | 364 | 454 | 372 | 36 | 1126 | 368 | 267 | 707 | 150 | 38 | 25.33% | 126 | 25 | 80.16% | 0 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 891 | 527 | 803 | 350 | 684 | 345 | 57.3% | 8.7% | 93.3% | 102.1 | DULL | |
_Since Last GM Reset | 62 | 32 | 13 | 0 | 2 | 3 | 6 | 6 | 158 | 123 | 35 | 89 | 0.718 | 158 | 247 | 405 | 0 | 8 | 31 | 68 | 51 | 10 | 1892 | 562 | 699 | 617 | 52 | 1834 | 602 | 434 | 1144 | 225 | 53 | 23.56% | 205 | 41 | 80.00% | 1 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 1401 | 824 | 1294 | 559 | 1088 | 548 | 56.1% | 8.4% | 93.3% | 101.6 | DULL | |
Total | 62 | 32 | 13 | 0 | 2 | 3 | 6 | 6 | 158 | 123 | 35 | 89 | 0.718 | 158 | 247 | 405 | 0 | 8 | 31 | 68 | 51 | 10 | 1892 | 562 | 699 | 617 | 52 | 1834 | 602 | 434 | 1144 | 225 | 53 | 23.56% | 205 | 41 | 80.00% | 1 | 807 | 1512 | 53.37% | 771 | 1431 | 53.88% | 417 | 839 | 49.70% | 1401 | 824 | 1294 | 559 | 1088 | 548 | 56.1% | 8.4% | 93.3% | 101.6 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1512 |
Neutral Zone Start | 839 |
Defensive Zone Start | 1431 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1995 |
Faceoffs Lost | 1787 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 30.3 | 30.68 |
Overtime | 31.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 104 |
---|---|
PP Goal | 53 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 19 | 21 |
Lost | 6 | 7 |
Overtime Lost | 5 | 4 |
PP Attempt | 225 |
---|---|
PP Goal | 53 |
PK Attempt | 205 |
PK Goal Against | 41 |
Home | |
---|---|
Shots For | 30.5 |
Shots Against | 29.6 |
Goals For | 2.5 |
Goals Against | 2.0 |
Hits | 18.5 |
Shots Blocked | 9.7 |
Pim | 7.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Panthers4,Lightning1 | RECAP | ||
2020-10-27 | @ | Lightning4,Panthers3 (OT) | RECAP | ||
2020-10-30 | @ | Hurricanes5,Panthers4 (SO) | RECAP | ||
2020-11-02 | @ | Panthers3,Sabres2 (SO) | RECAP | ||
2020-11-03 | @ | Panthers1,Islanders2 (SO) | RECAP | ||
2020-11-05 | @ | Panthers3,Devils1 | RECAP | ||
2020-11-09 | @ | Avalanche1,Panthers2 | RECAP | ||
2020-11-10 | @ | Panthers3,Predators2 | RECAP | ||
2020-11-13 | @ | Penguins2,Panthers6 | RECAP | ||
2020-11-15 | @ | Panthers1,Flames2 | RECAP | ||
2020-11-18 | @ | Panthers2,Oilers0 | RECAP | ||
2020-11-19 | @ | Panthers4,Canucks3 | RECAP | ||
2020-11-21 | @ | Panthers1,Avalanche2 | RECAP | ||
2020-11-24 | @ | Red Wings0,Panthers2 | RECAP | ||
2020-11-29 | @ | Capitals5,Panthers2 | RECAP | ||
2020-12-01 | @ | Panthers2,Islanders3 | RECAP | ||
2020-12-02 | @ | Panthers2,Rangers1 | RECAP | ||
2020-12-04 | @ | Panthers2,Bruins1 (SO) | RECAP | ||
2020-12-06 | @ | Jets0,Panthers1 | RECAP | ||
2020-12-08 | @ | Rangers2,Panthers3 | RECAP | ||
2020-12-11 | @ | Flyers3,Panthers1 | RECAP | ||
2020-12-13 | @ | Ducks4,Panthers1 | RECAP | ||
2020-12-15 | @ | Panthers2,Hurricanes1 | RECAP | ||
2020-12-16 | @ | Sabres1,Panthers3 | RECAP | ||
2020-12-19 | @ | Panthers3,Capitals1 | RECAP | ||
2020-12-22 | @ | Predators1,Panthers6 | RECAP | ||
2020-12-25 | @ | Wild5,Panthers0 | RECAP | ||
2020-12-29 | @ | Blue Jackets0,Panthers1 | RECAP | ||
2020-12-30 | @ | Sharks4,Panthers3 | RECAP | ||
2021-01-01 | @ | Lightning2,Panthers3 | RECAP | ||
2021-01-03 | @ | Islanders4,Panthers1 | RECAP | ||
2021-01-05 | @ | Bruins1,Panthers3 | RECAP | ||
2021-01-07 | @ | Senators0,Panthers2 | RECAP | ||
2021-01-11 | @ | Stars1,Panthers3 | RECAP | ||
2021-01-12 | @ | Panthers3,Hurricanes2 (SO) | RECAP | ||
2021-01-14 | @ | Panthers1,Lightning4 | RECAP | ||
2021-01-19 | @ | Red Wings2,Panthers1 (OT) | RECAP | ||
2021-01-20 | @ | Canadiens2,Panthers3 (OT) | RECAP | ||
2021-01-22 | @ | Panthers3,Blue Jackets2 (OT) | RECAP | ||
2021-01-24 | @ | Panthers3,Senators1 | RECAP | ||
2021-01-26 | @ | Panthers5,Sabres4 (SO) | RECAP | ||
2021-01-27 | @ | Panthers3,Penguins1 | RECAP | ||
2021-01-29 | @ | Coyotes1,Panthers2 | RECAP | ||
2021-01-31 | @ | Canucks3,Panthers4 (SO) | RECAP | ||
2021-02-03 | @ | Maple Leafs1,Panthers3 | RECAP | ||
2021-02-07 | @ | Kings2,Panthers1 (SO) | RECAP | ||
2021-02-09 | @ | Panthers8,Red Wings0 | RECAP | ||
2021-02-11 | @ | Panthers2,Wild3 (SO) | RECAP | ||
2021-02-12 | @ | Panthers1,Blackhawks2 | RECAP | ||
2021-02-23 | @ | Panthers3,Canadiens0 | RECAP | ||
2021-02-25 | @ | Panthers1,Maple Leafs3 | RECAP | ||
2021-02-26 | @ | Panthers3,Blue Jackets2 | RECAP | ||
2021-02-28 | @ | Golden Knights0,Panthers3 | RECAP | ||
2021-03-02 | @ | Penguins4,Panthers3 (OT) | RECAP | ||
2021-03-04 | @ | Panthers2,Flyers1 | RECAP | ||
2021-03-05 | @ | Panthers2,Devils3 (SO) | RECAP | ||
2021-03-07 | @ | Flyers1,Panthers2 | RECAP | ||
2021-03-09 | @ | Oilers2,Panthers4 | RECAP | ||
2021-03-11 | @ | Panthers3,Sharks2 | RECAP | ||
2021-03-13 | @ | Panthers2,Ducks4 | RECAP | ||
2021-03-14 | @ | Panthers2,Kings3 (SO) | RECAP | ||
2021-03-16 | @ | Panthers2,Golden Knights1 (SO) | RECAP | ||
2021-03-19 | @ | ||||
2021-03-21 | @ | ||||
2021-03-23 | @ | ||||
2021-03-24 | @ | ||||
2021-03-28 | @ | ||||
2021-03-30 | @ | ||||
2021-04-02 | @ | ||||
2021-04-04 | @ | ||||
2021-04-06 | @ | ||||
2021-04-08 | @ | ||||
2021-04-09 | @ | ||||
2021-04-11 | @ | ||||
2021-04-13 | @ | ||||
2021-04-15 | @ | ||||
2021-04-16 | @ | ||||
2021-04-18 | @ | ||||
2021-04-20 | @ | ||||
2021-04-22 | @ | ||||
2021-04-25 | @ | ||||
2021-04-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,984,832$ | 0$ | 80,984,832$ | 515,168$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Bank Atlantic Center | |
City | Floride | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 169089 | 140967 | 57767 | 115439 | 28134 |
Attendance PCT | 93.94% | 93.98% | 96.28% | 96.20% | 93.78% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
11 | 17047 - 94.70% | 600,514$ | 18,015,416$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,984,832$ | 80,984,832$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
62,440,632$ | 80,984,832$ | 62,440,632$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
6,605,653$ | 42 | 435,402$ | 18,286,884$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
18,286,884$ | 80,984,832$ | -351,912,297$ | -363,593,528$ |
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 flo 2021 | |||||
2 ballo flo 2021 | |||||
Aaron Huglen | 2019 | 113 | |||
Adam Edstrom | 2019 | 175 | |||
Albin Grewe | 2019 | 64 | |||
Andre Petersson | |||||
Andrei Altybarmakyan | 2017 | 82 | |||
Brandon Manning | |||||
Brandon Saigeon | 2018 | 152 | |||
Carter Gylander | 2019 | 206 | |||
Chris Martenet | |||||
Christian Jaros | |||||
Cole Candella | |||||
Connor McClennon | 2020 | 170 | |||
Daniel Torgersson | 2020 | 53 | |||
David Cotton | |||||
Dmitri Ovchinnikov | 2020 | 124 | |||
Evan Fitzpatrick | |||||
Filip Gustavsson | |||||
Henri Ikonen | |||||
Ivan Prosvetov | 2018 | 121 | |||
Jack Kopacka | |||||
Jack McBain | 2018 | 59 | |||
Jacob Bernard-Docker | 2018 | 35 | |||
Jacob Bryson | 2017 | 112 | |||
Jacob Truscott | 2020 | 139 | |||
Jakob Ragnarsson | 2018 | 67 | |||
Jakob Stukel | |||||
Jesse Puljujarvi | Link | ||||
John Farinacci | 2019 | 82 | |||
John Jason Peterka | 2020 | 41 | |||
Joren Van Pottelberghe | |||||
Maximilian Pajpach | |||||
Mitchell Hoelscher | 2018 | 183 | |||
Nick Abruzzese | 2019 | 144 | |||
Nikita Okhotyuk | 2019 | 51 | |||
Noah Cates | 2017 | 142 | |||
Oskar Magnusson | 2020 | 201 | |||
Pontus Sjalin | |||||
Reilly Webb | 2017 | 172 | |||
Riley Hughes | 2018 | 214 | |||
Riley Stotts | 2018 | 90 | |||
Rodion Amirov | 2020 | 20 | |||
Serron Noel | 2018 | 28 | |||
Tyler Tullio | 2020 | 134 |
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