|
|
Full Scoreboard »» |
|
|
Full Scoreboard »» |
Pittsburgh Penguins 21-20-9, 51pts · 10th 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 | 100.00 | 64 | 40 | 87 | 91 | 74 | 87 | 89 | 86 | 78 | 91 | 87 | 62 | 90 | 69 | 76 | 88 | 50 | 77 | 24 | 6,300,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 82 | 41 | 68 | 80 | 82 | 81 | 87 | 79 | 53 | 81 | 78 | 56 | 82 | 61 | 65 | 93 | 50 | 71 | 19 | 925,000$/2yrs | |||
![]() | 0 | C | 100.00 | 86 | 43 | 75 | 68 | 90 | 83 | 87 | 66 | 86 | 72 | 62 | 79 | 64 | 80 | 87 | 56 | 50 | 70 | 31 | 6,000,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 77 | 40 | 87 | 76 | 78 | 77 | 87 | 74 | 53 | 69 | 83 | 58 | 76 | 69 | 68 | 57 | 50 | 69 | 24 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 78 | 49 | 50 | 77 | 73 | 84 | 72 | 76 | 83 | 74 | 80 | 58 | 76 | 78 | 73 | 69 | 50 | 69 | 28 | 4,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 68 | 39 | 85 | 77 | 70 | 83 | 68 | 76 | 54 | 73 | 83 | 62 | 76 | 69 | 71 | 63 | 50 | 69 | 24 | 2,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 86 | 42 | 84 | 69 | 72 | 74 | 88 | 67 | 73 | 68 | 66 | 78 | 65 | 69 | 67 | 74 | 50 | 68 | 23 | 1,475,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 93 | 52 | 78 | 67 | 90 | 74 | 85 | 66 | 58 | 63 | 71 | 74 | 69 | 65 | 66 | 84 | 50 | 68 | 22 | 1,533,333$/3yrs | |||
![]() | 0 | RW | 100.00 | 90 | 51 | 62 | 69 | 86 | 81 | 76 | 68 | 52 | 73 | 73 | 59 | 65 | 77 | 67 | 69 | 50 | 67 | 28 | 1,950,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 79 | 43 | 77 | 69 | 73 | 75 | 87 | 65 | 70 | 58 | 63 | 74 | 61 | 82 | 73 | 34 | 50 | 66 | 32 | 3,850,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 75 | 54 | 82 | 63 | 99 | 77 | 70 | 62 | 56 | 60 | 61 | 64 | 59 | 77 | 67 | 53 | 50 | 63 | 28 | 700,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 53 | 40 | 86 | 65 | 76 | 72 | 68 | 64 | 56 | 62 | 63 | 71 | 64 | 85 | 75 | 43 | 50 | 63 | 34 | 6,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 84 | 46 | 78 | 65 | 92 | 86 | 88 | 63 | 30 | 74 | 60 | 87 | 51 | 67 | 63 | 74 | 50 | 73 | 22 | 2,850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 88 | 39 | 80 | 73 | 72 | 90 | 92 | 71 | 30 | 85 | 64 | 72 | 56 | 69 | 66 | 42 | 50 | 72 | 24 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 87 | 46 | 72 | 65 | 88 | 87 | 72 | 63 | 30 | 71 | 54 | 77 | 48 | 76 | 69 | 43 | 50 | 70 | 27 | 4,100,000$/3yrs | |||
![]() | 0 | D | 100.00 | 84 | 40 | 85 | 64 | 73 | 84 | 68 | 63 | 30 | 75 | 57 | 72 | 51 | 78 | 71 | 66 | 50 | 67 | 29 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 41 | 75 | 64 | 80 | 81 | 65 | 62 | 30 | 71 | 55 | 77 | 51 | 78 | 68 | 71 | 50 | 67 | 29 | 5,143,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 40 | 83 | 68 | 77 | 73 | 79 | 66 | 30 | 71 | 72 | 67 | 54 | 75 | 69 | 66 | 50 | 66 | 27 | 2,733,333$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 55 | 47 | 82 | 63 | 65 | 77 | 72 | 62 | 69 | 61 | 65 | 59 | 63 | 75 | 68 | 46 | 50 | 61 | 26 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 41 | 81 | 65 | 80 | 83 | 76 | 63 | 30 | 73 | 62 | 66 | 52 | 73 | 68 | 49 | 53 | 66 | 26 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 41 | 80 | 59 | 77 | 78 | 73 | 58 | 30 | 66 | 55 | 60 | 49 | 80 | 72 | 46 | 50 | 62 | 31 | 737,500$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 39 | 88 | 61 | 69 | 85 | 62 | 59 | 30 | 64 | 54 | 68 | 46 | 73 | 67 | 42 | 50 | 62 | 26 | 725,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 75 | 43 | 78 | 69 | 79 | 81 | 78 | 67 | 51 | 71 | 67 | 68 | 62 | 74 | 70 | 60 | 50 | 68 |
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 | 90 | 95 | 93 | 85 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 75 | 81 | 57 | 50 | 85 | 27 | 2,750,000$/2yrs |
![]() | 0 | 100.00 | 86 | 87 | 85 | 89 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 73 | 77 | 58 | 50 | 82 | 26 | 1,325,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 88 | 91 | 89 | 87 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 74 | 79 | 58 | 50 | 84 |
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 | 64 | 42 | 90 | 65 | 84 | 74 | 67 | 63 | 75 | 61 | 59 | 62 | 65 | 61 | 63 | 85 | 60 | 61 | 20 | 894,167$/3yrs | |||
![]() | 0 | RW | 100.00 | 71 | 56 | 81 | 61 | 87 | 89 | 88 | 59 | 56 | 60 | 58 | 61 | 59 | 65 | 63 | 74 | 60 | 61 | 21 | 714,166$/2yrs | |||
![]() | 0 | RW | 100.00 | 63 | 42 | 87 | 61 | 76 | 72 | 78 | 59 | 55 | 57 | 58 | 62 | 59 | 69 | 64 | 56 | 60 | 59 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 45 | 72 | 63 | 85 | 81 | 83 | 62 | 30 | 67 | 56 | 87 | 51 | 65 | 64 | 69 | 60 | 68 | 22 | 714,166$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 45 | 89 | 62 | 88 | 72 | 68 | 61 | 30 | 63 | 57 | 64 | 46 | 67 | 64 | 55 | 60 | 62 | 23 | 755,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 43 | 89 | 63 | 72 | 80 | 77 | 62 | 30 | 60 | 57 | 61 | 46 | 65 | 67 | 63 | 60 | 61 | 22 | 792,500$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 79 | 48 | 80 | 62 | 89 | 61 | 63 | 59 | 52 | 60 | 58 | 61 | 56 | 82 | 73 | 51 | 20 | 60 | 31 | 753,757$/1yrs | |||
![]() | 0 | C | 100.00 | 73 | 38 | 87 | 61 | 75 | 76 | 74 | 59 | 62 | 58 | 60 | 57 | 61 | 75 | 68 | 48 | 20 | 59 | 27 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 43 | 84 | 58 | 87 | 71 | 66 | 57 | 30 | 56 | 56 | 59 | 45 | 75 | 68 | 53 | 50 | 60 | 27 | 700,000$/1yrs |
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 |
---|
General Manager | Roger Hache |
---|
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 | Nathan MacKinnon | 0 | C | 50 | 16 | 27 | 43 | -3 | 10 | 0 | 49 | 178 | 75 | 136 | 8.99% | 22 | 23.70 | 5 | 10 | 15 | 150 | 1 | 1 | 2 | 189 | 0 | 2 | 49.72% | 1448 | 46 | 22 | 0 | 1 | 0.73 | 4 | 9 | ||
2 | Andrei Svechnikov | 0 | RW | 50 | 17 | 15 | 32 | -3 | 95 | 5 | 106 | 212 | 62 | 115 | 8.02% | 24 | 23.09 | 6 | 7 | 13 | 147 | 1 | 0 | 1 | 155 | 6 | 0 | 34.85% | 330 | 39 | 28 | 0 | 0 | 0.55 | 1 | 6 | ||
3 | Nazem Kadri | 0 | C | 50 | 11 | 21 | 32 | 5 | 61 | 5 | 96 | 169 | 45 | 99 | 6.51% | 9 | 15.45 | 3 | 8 | 11 | 149 | 0 | 0 | 0 | 73 | 2 | 0 | 60.51% | 352 | 30 | 17 | 0 | 0 | 0.83 | 1 | 3 | ||
4 | Jordan Staal | 0 | C | 50 | 16 | 14 | 30 | 1 | 27 | 5 | 65 | 133 | 32 | 71 | 12.03% | 24 | 17.04 | 3 | 5 | 8 | 119 | 1 | 1 | 2 | 72 | 4 | 1 | 55.67% | 661 | 18 | 10 | 0 | 0 | 0.70 | 2 | 8 | ||
5 | Zack Kassian | 0 | RW | 50 | 11 | 18 | 29 | 0 | 61 | 5 | 63 | 141 | 46 | 85 | 7.80% | 13 | 15.66 | 5 | 5 | 10 | 123 | 0 | 0 | 0 | 0 | 2 | 2 | 44.44% | 36 | 38 | 13 | 0 | 0 | 0.74 | 1 | 1 | ||
6 | Brandon Carlo | 0 | D | 50 | 3 | 15 | 18 | -5 | 39 | 5 | 68 | 61 | 20 | 32 | 4.92% | 87 | 27.70 | 1 | 5 | 6 | 162 | 0 | 1 | 1 | 191 | 0 | 0 | 0.00% | 0 | 14 | 55 | 0 | 0 | 0.26 | 0 | 0 | ||
7 | Oliver Bjorkstrand | 0 | RW | 50 | 8 | 9 | 17 | 8 | 5 | 5 | 26 | 104 | 31 | 72 | 7.69% | 13 | 10.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 32.26% | 31 | 23 | 14 | 0 | 0 | 0.67 | 0 | 2 | ||
8 | Lawson Crouse | 0 | LW | 50 | 7 | 8 | 15 | 2 | 19 | 5 | 65 | 101 | 38 | 68 | 6.93% | 17 | 18.26 | 1 | 2 | 3 | 120 | 1 | 0 | 1 | 120 | 1 | 0 | 44.68% | 47 | 19 | 16 | 0 | 0 | 0.33 | 2 | 5 | ||
9 | Neal Pionk | 0 | D | 50 | 4 | 10 | 14 | 4 | 12 | 0 | 44 | 60 | 24 | 23 | 6.67% | 45 | 21.00 | 2 | 4 | 6 | 114 | 0 | 1 | 1 | 145 | 0 | 1 | 0.00% | 0 | 17 | 34 | 0 | 0 | 0.27 | 0 | 0 | ||
10 | Zach Bogosian | 0 | D | 50 | 3 | 11 | 14 | -7 | 48 | 0 | 60 | 56 | 22 | 26 | 5.36% | 75 | 28.29 | 2 | 1 | 3 | 161 | 0 | 1 | 1 | 182 | 0 | 0 | 0.00% | 0 | 15 | 47 | 0 | 0 | 0.20 | 0 | 0 | ||
11 | Dominik Kubalik | 0 | LW | 50 | 5 | 5 | 10 | -3 | 13 | 5 | 56 | 83 | 23 | 40 | 6.02% | 11 | 16.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.23% | 62 | 23 | 12 | 0 | 0 | 0.25 | 0 | 2 | ||
12 | Josh Manson | 0 | D | 50 | 1 | 7 | 8 | 2 | 62 | 10 | 70 | 46 | 17 | 18 | 2.17% | 45 | 20.38 | 1 | 1 | 2 | 112 | 0 | 0 | 0 | 118 | 0 | 0 | 0.00% | 0 | 8 | 30 | 0 | 0 | 0.16 | 0 | 0 | ||
13 | Ivan Barbashev | 0 | C | 50 | 2 | 4 | 6 | -2 | 4 | 0 | 37 | 65 | 20 | 55 | 3.08% | 8 | 9.03 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 46 | 0 | 0 | 48.03% | 152 | 26 | 5 | 0 | 0 | 0.27 | 1 | 1 | ||
14 | Darren Helm | 0 | LW | 50 | 4 | 1 | 5 | 8 | 6 | 0 | 43 | 37 | 10 | 20 | 10.81% | 17 | 10.84 | 1 | 0 | 1 | 5 | 0 | 0 | 0 | 16 | 2 | 0 | 50.00% | 14 | 2 | 11 | 0 | 0 | 0.18 | 0 | 0 | ||
15 | Loui Eriksson | 0 | LW | 50 | 2 | 3 | 5 | -3 | 8 | 0 | 11 | 44 | 16 | 22 | 4.55% | 6 | 7.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 14 | 6 | 9 | 0 | 0 | 0.27 | 0 | 0 | ||
16 | Mark Pysyk | 0 | D | 50 | 0 | 5 | 5 | 4 | 8 | 0 | 17 | 28 | 8 | 7 | 0.00% | 22 | 11.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 11 | 13 | 0 | 0 | 0.17 | 0 | 0 | ||
17 | Michael Del Zotto | 0 | D | 50 | 0 | 4 | 4 | 6 | 4 | 0 | 38 | 17 | 8 | 11 | 0.00% | 26 | 13.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 2 | 23 | 0 | 0 | 0.12 | 0 | 0 | ||
18 | Buddy Robinson | 0 | RW | 50 | 0 | 3 | 3 | -3 | 8 | 0 | 35 | 25 | 12 | 18 | 0.00% | 10 | 7.86 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 10 | 4 | 8 | 0 | 0 | 0.15 | 0 | 0 | ||
19 | Tucker Poolman | 0 | D | 38 | 0 | 2 | 2 | -6 | 12 | 0 | 16 | 16 | 4 | 5 | 0.00% | 16 | 11.44 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 2 | 12 | 0 | 0 | 0.09 | 0 | 0 | ||
Team Total or Average | 938 | 110 | 182 | 292 | 5 | 502 | 50 | 965 | 1576 | 513 | 923 | 6.98% | 490 | 16.29 | 30 | 49 | 79 | 1381 | 4 | 5 | 9 | 1367 | 18 | 6 | 50.33% | 3157 | 343 | 379 | 0 | 1 | 0.38 | 12 | 37 |
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 | David Rittich | 25 | 10 | 7 | 5 | 0.919 | 2.50 | 1395 | 8 | 0 | 58 | 717 | 307 | 0 | 0 | 0.333 | 3 | 23 | 27 | 2 | 3 | 4 | |
2 | Linus Ullmark | 1 | 1 | 0 | 0 | 0.963 | 1.00 | 60 | 0 | 0 | 1 | 27 | 14 | 1 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 1 | |
Team Total or Average | 26 | 11 | 7 | 5 | 0.921 | 2.43 | 1455 | 8 | 0 | 59 | 744 | 321 | 1 | 0 | 0.333 | 3 | 24 | 27 | 2 | 3 | 5 |
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 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 5 | 9 | -4 | 1 | 0.167 | 5 | 10 | 15 | 0 | 0 | 0 | 3 | 2 | 2 | 93 | 18 | 32 | 42 | 6 | 86 | 38 | 26 | 64 | 10 | 2 | 20.00% | 11 | 5 | 54.55% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 64 | 36 | 67 | 27 | 53 | 25 | 42.9% | 5.4% | 89.5% | 94.9 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 8 | 9 | 9 | 0 | 29 | 7 | 12 | 22 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 21 | 11 | 21 | 9 | 17 | 8 | 0.0% | 3.8% | 89.7% | 93.5 | Unlucky | |
3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 56 | 16 | 22 | 16 | 4 | 51 | 22 | 18 | 42 | 11 | 1 | 9.09% | 9 | 2 | 77.78% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 45 | 25 | 41 | 19 | 38 | 18 | 42.9% | 7.1% | 88.2% | 95.4 | Unlucky | |
4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 0 | 2 | 1 | 1 | 64 | 21 | 25 | 13 | 5 | 62 | 28 | 20 | 40 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 40 | 23 | 47 | 19 | 34 | 17 | 100.0% | 6.3% | 96.8% | 103.0 | DULL | |
5 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 4 | -2 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 67 | 18 | 19 | 26 | 6 | 59 | 19 | 16 | 37 | 4 | 0 | 0.00% | 8 | 0 | 100.00% | 1 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 23 | 44 | 21 | 39 | 18 | 33.3% | 3.0% | 93.2% | 96.2 | DULL | |
6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 6 | 12 | 10 | 0 | 25 | 7 | 8 | 10 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 21 | 11 | 21 | 11 | 19 | 8 | 0.0% | 3.6% | 92.0% | 95.6 | DULL | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 1 | 4 | 2 | 0 | 48 | 15 | 20 | 13 | 0 | 70 | 18 | 17 | 32 | 9 | 6 | 66.67% | 7 | 2 | 71.43% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 25 | 43 | 18 | 33 | 15 | 50.0% | 14.6% | 95.7% | 110.3 | LUCKY | |
8 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 1 | 4 | 64 | 14 | 27 | 21 | 11 | 59 | 18 | 22 | 38 | 8 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 41 | 23 | 47 | 20 | 36 | 17 | 71.4% | 7.8% | 91.5% | 99.3 | DULL | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 64 | 18 | 25 | 21 | 0 | 62 | 17 | 12 | 36 | 10 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 23 | 41 | 18 | 35 | 18 | 33.3% | 3.1% | 88.7% | 91.8 | Unlucky | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 0 | 4 | 3 | 0 | 67 | 16 | 30 | 21 | 0 | 67 | 27 | 14 | 40 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 38 | 20 | 47 | 16 | 33 | 16 | 70.0% | 10.4% | 94.0% | 104.5 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 33 | 11 | 11 | 11 | 0 | 33 | 4 | 10 | 20 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 22 | 12 | 20 | 8 | 16 | 8 | 100.0% | 9.1% | 93.9% | 103.0 | LUCKY | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 57 | 22 | 23 | 12 | 0 | 61 | 13 | 16 | 40 | 9 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 46 | 27 | 38 | 17 | 35 | 18 | 30.0% | 5.3% | 85.2% | 90.5 | Unlucky | |
13 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 63 | 15 | 23 | 25 | 0 | 72 | 26 | 22 | 35 | 4 | 1 | 25.00% | 11 | 1 | 90.91% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 24 | 46 | 19 | 34 | 15 | 25.0% | 3.2% | 94.4% | 97.6 | DULL | |
14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 1 | 39 | 9 | 11 | 17 | 9 | 30 | 7 | 12 | 16 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 22 | 13 | 23 | 9 | 18 | 8 | 50.0% | 10.3% | 83.3% | 93.6 | FUN | |
15 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 7 | 3 | 4 | 1.000 | 10 | 15 | 25 | 0 | 0 | 2 | 4 | 3 | 3 | 61 | 15 | 26 | 16 | 8 | 51 | 23 | 22 | 41 | 7 | 3 | 42.86% | 11 | 4 | 63.64% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 45 | 25 | 41 | 18 | 38 | 19 | 70.0% | 16.4% | 86.3% | 102.7 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 30 | 12 | 6 | 12 | 0 | 30 | 5 | 12 | 20 | 4 | 1 | 25.00% | 6 | 3 | 50.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 23 | 14 | 18 | 8 | 17 | 9 | 50.0% | 6.7% | 86.7% | 93.3 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 3 | 0 | 38 | 7 | 19 | 12 | 0 | 24 | 10 | 5 | 27 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 23 | 14 | 17 | 8 | 19 | 10 | 66.7% | 10.5% | 95.8% | 106.4 | LUCKY | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 1 | 4 | 0 | 57 | 17 | 13 | 27 | 0 | 54 | 19 | 21 | 38 | 6 | 3 | 50.00% | 8 | 1 | 87.50% | 2 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 41 | 23 | 43 | 18 | 35 | 17 | 75.0% | 10.5% | 96.3% | 106.8 | LUCKY | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 26 | 11 | 10 | 5 | 0 | 34 | 13 | 4 | 17 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 21 | 11 | 19 | 8 | 19 | 10 | 60.0% | 15.4% | 91.2% | 106.6 | LUCKY | |
20 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 7 | -5 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 75 | 21 | 24 | 30 | 3 | 69 | 19 | 18 | 39 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 44 | 25 | 45 | 19 | 35 | 17 | 33.3% | 2.7% | 89.9% | 92.5 | Unlucky | |
21 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 23 | 8 | 5 | 10 | 0 | 37 | 12 | 12 | 14 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 19 | 10 | 23 | 9 | 16 | 7 | 66.7% | 8.7% | 91.9% | 100.6 | DULL | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 32 | 21 | 5 | 6 | 0 | 28 | 11 | 14 | 19 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 22 | 12 | 20 | 9 | 17 | 8 | 25.0% | 3.1% | 89.3% | 92.4 | Unlucky | |
23 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 6 | 1.000 | 9 | 12 | 21 | 0 | 0 | 1 | 3 | 5 | 0 | 81 | 26 | 34 | 21 | 0 | 92 | 34 | 27 | 58 | 15 | 1 | 6.67% | 11 | 0 | 100.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 64 | 35 | 65 | 27 | 50 | 26 | 66.7% | 11.1% | 95.7% | 106.8 | LUCKY | |
24 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 1 | 2 | 0 | 0 | 95 | 32 | 29 | 34 | 0 | 93 | 21 | 30 | 55 | 9 | 0 | 0.00% | 15 | 2 | 86.67% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 66 | 38 | 60 | 26 | 53 | 26 | 33.3% | 3.2% | 91.4% | 94.6 | DULL | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 1 | 1 | 1 | 0 | 68 | 23 | 21 | 24 | 0 | 64 | 14 | 36 | 32 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 25 | 44 | 17 | 33 | 15 | 22.2% | 4.4% | 85.9% | 90.3 | Unlucky | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 4 | 8 | 0 | 0 | 1 | 2 | 1 | 0 | 65 | 18 | 21 | 26 | 0 | 55 | 4 | 31 | 42 | 6 | 1 | 16.67% | 8 | 4 | 50.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 26 | 44 | 18 | 32 | 16 | 37.5% | 6.2% | 83.6% | 89.8 | Unlucky | |
27 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 2 | 3 | 1 | 73 | 18 | 18 | 34 | 7 | 66 | 22 | 24 | 38 | 7 | 2 | 28.57% | 12 | 1 | 91.67% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 43 | 23 | 42 | 19 | 38 | 18 | 57.1% | 8.2% | 93.9% | 102.2 | DULL | |
28 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 2 | 1 | 67 | 12 | 27 | 24 | 4 | 51 | 16 | 17 | 37 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 47 | 27 | 40 | 17 | 35 | 19 | 71.4% | 10.4% | 92.2% | 102.6 | LUCKY | |
_Vs Division | 11 | 5 | 4 | 0 | 0 | 2 | 0 | 0 | 21 | 20 | 1 | 12 | 0.545 | 21 | 29 | 50 | 1 | 0 | 4 | 7 | 10 | 0 | 324 | 96 | 111 | 117 | 0 | 336 | 107 | 108 | 196 | 40 | 6 | 15.00% | 49 | 5 | 89.80% | 2 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 236 | 132 | 236 | 102 | 193 | 95 | 50.0% | 6.5% | 94.0% | 100.5 | DULL | |
_Vs Conference | 24 | 9 | 10 | 0 | 0 | 3 | 0 | 2 | 51 | 59 | -8 | 23 | 0.479 | 51 | 82 | 133 | 2 | 0 | 11 | 21 | 19 | 2 | 701 | 210 | 238 | 250 | 10 | 741 | 233 | 243 | 437 | 90 | 18 | 20.00% | 104 | 24 | 76.92% | 2 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 518 | 294 | 515 | 221 | 421 | 206 | 48.5% | 7.3% | 92.0% | 99.3 | DULL | |
_Since Last GM Reset | 50 | 16 | 20 | 0 | 2 | 4 | 3 | 5 | 113 | 133 | -20 | 51 | 0.510 | 113 | 180 | 293 | 3 | 1 | 20 | 45 | 43 | 13 | 1560 | 448 | 547 | 538 | 63 | 1514 | 474 | 498 | 949 | 174 | 30 | 17.24% | 219 | 51 | 76.71% | 4 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 1083 | 617 | 1078 | 465 | 890 | 437 | 50.3% | 7.2% | 91.2% | 98.5 | DULL | |
Total | 50 | 16 | 20 | 0 | 2 | 4 | 3 | 5 | 113 | 133 | -20 | 51 | 0.510 | 113 | 180 | 293 | 3 | 1 | 20 | 45 | 43 | 13 | 1560 | 448 | 547 | 538 | 63 | 1514 | 474 | 498 | 949 | 174 | 30 | 17.24% | 219 | 51 | 76.71% | 4 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 1083 | 617 | 1078 | 465 | 890 | 437 | 50.3% | 7.2% | 91.2% | 98.5 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1216 |
Neutral Zone Start | 695 |
Defensive Zone Start | 1246 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1589 |
Faceoffs Lost | 1568 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.0 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 30.7 | 30.68 |
Overtime | 31.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 76 |
---|---|
PP Goal | 30 |
PK Goal | 4 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 10 | 11 |
Lost | 11 | 9 |
Overtime Lost | 5 | 4 |
PP Attempt | 174 |
---|---|
PP Goal | 30 |
PK Attempt | 219 |
PK Goal Against | 51 |
Home | |
---|---|
Shots For | 31.2 |
Shots Against | 30.3 |
Goals For | 2.3 |
Goals Against | 2.7 |
Hits | 19.0 |
Shots Blocked | 9.5 |
Pim | 10.0 |
Projected Total Cap Hit | 62,247,166$ |
Projected Cap Space | 19,252,834$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 42,668,370$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Penguins Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Svechnikov ![]() | RW | 19 | 925,000$ | 925,000$ | 925,000$ | ||||||
Brandon Carlo ![]() | D | 22 | 2,850,000$ | 2,850,000$ | 2,850,000$ | ||||||
Buddy Robinson ![]() | RW | 28 | 700,000$ | 700,000$ | |||||||
Darren Helm ![]() | LW | 32 | 3,850,000$ | 3,850,000$ | 3,850,000$ | ||||||
David Rittich ![]() | G | 27 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Dominik Kubalik ![]() | LW | 24 | 925,000$ | 925,000$ | |||||||
Gerald Mayhew ![]() | C | 26 | 700,000$ | 700,000$ | |||||||
Ivan Barbashev ![]() | C | 23 | 1,475,000$ | 1,475,000$ | 1,475,000$ | ||||||
Joakim Ryan ![]() | D | 26 | 725,000$ | 725,000$ | |||||||
Jordan Staal ![]() | C | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Josh Manson ![]() | D | 27 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | |||||
Lawson Crouse ![]() | LW | 22 | 1,533,333$ | 1,533,333$ | 1,533,333$ | 1,533,333$ | |||||
Linus Ullmark ![]() | G | 26 | 1,325,000$ | 1,325,000$ | |||||||
Loui Eriksson ![]() | LW | 34 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Mark Pysyk ![]() | D | 27 | 2,733,333$ | 2,733,333$ | |||||||
Michael Del Zotto ![]() | D | 29 | 750,000$ | 750,000$ | |||||||
Nathan MacKinnon ![]() | C | 24 | 6,300,000$ | 6,300,000$ | 6,300,000$ | ||||||
Nazem Kadri ![]() | C | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Neal Pionk ![]() | D | 24 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Oliver Bjorkstrand ![]() | RW | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Taylor Fedun ![]() | D | 31 | 737,500$ | 737,500$ | 737,500$ | ||||||
Tucker Poolman ![]() | D | 26 | 775,000$ | 775,000$ | |||||||
Zach Bogosian ![]() | D | 29 | 5,143,000$ | 5,143,000$ | |||||||
Zack Kassian ![]() | RW | 28 | 1,950,000$ | 1,950,000$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
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 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 5 | 9 | -4 | 1 | 0.167 | 5 | 10 | 15 | 0 | 0 | 0 | 3 | 2 | 2 | 93 | 18 | 32 | 42 | 6 | 86 | 38 | 26 | 64 | 10 | 2 | 20.00% | 11 | 5 | 54.55% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 64 | 36 | 67 | 27 | 53 | 25 | 42.9% | 5.4% | 89.5% | 94.9 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 8 | 9 | 9 | 0 | 29 | 7 | 12 | 22 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 21 | 11 | 21 | 9 | 17 | 8 | 0.0% | 3.8% | 89.7% | 93.5 | Unlucky | |
3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 56 | 16 | 22 | 16 | 4 | 51 | 22 | 18 | 42 | 11 | 1 | 9.09% | 9 | 2 | 77.78% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 45 | 25 | 41 | 19 | 38 | 18 | 42.9% | 7.1% | 88.2% | 95.4 | Unlucky | |
4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 0 | 2 | 1 | 1 | 64 | 21 | 25 | 13 | 5 | 62 | 28 | 20 | 40 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 40 | 23 | 47 | 19 | 34 | 17 | 100.0% | 6.3% | 96.8% | 103.0 | DULL | |
5 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 4 | -2 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 67 | 18 | 19 | 26 | 6 | 59 | 19 | 16 | 37 | 4 | 0 | 0.00% | 8 | 0 | 100.00% | 1 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 23 | 44 | 21 | 39 | 18 | 33.3% | 3.0% | 93.2% | 96.2 | DULL | |
6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 6 | 12 | 10 | 0 | 25 | 7 | 8 | 10 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 21 | 11 | 21 | 11 | 19 | 8 | 0.0% | 3.6% | 92.0% | 95.6 | DULL | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 1 | 4 | 2 | 0 | 48 | 15 | 20 | 13 | 0 | 70 | 18 | 17 | 32 | 9 | 6 | 66.67% | 7 | 2 | 71.43% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 25 | 43 | 18 | 33 | 15 | 50.0% | 14.6% | 95.7% | 110.3 | LUCKY | |
8 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 1 | 4 | 64 | 14 | 27 | 21 | 11 | 59 | 18 | 22 | 38 | 8 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 41 | 23 | 47 | 20 | 36 | 17 | 71.4% | 7.8% | 91.5% | 99.3 | DULL | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 64 | 18 | 25 | 21 | 0 | 62 | 17 | 12 | 36 | 10 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 23 | 41 | 18 | 35 | 18 | 33.3% | 3.1% | 88.7% | 91.8 | Unlucky | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 0 | 4 | 3 | 0 | 67 | 16 | 30 | 21 | 0 | 67 | 27 | 14 | 40 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 38 | 20 | 47 | 16 | 33 | 16 | 70.0% | 10.4% | 94.0% | 104.5 | LUCKY | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 33 | 11 | 11 | 11 | 0 | 33 | 4 | 10 | 20 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 22 | 12 | 20 | 8 | 16 | 8 | 100.0% | 9.1% | 93.9% | 103.0 | LUCKY | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 57 | 22 | 23 | 12 | 0 | 61 | 13 | 16 | 40 | 9 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 46 | 27 | 38 | 17 | 35 | 18 | 30.0% | 5.3% | 85.2% | 90.5 | Unlucky | |
13 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 63 | 15 | 23 | 25 | 0 | 72 | 26 | 22 | 35 | 4 | 1 | 25.00% | 11 | 1 | 90.91% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 24 | 46 | 19 | 34 | 15 | 25.0% | 3.2% | 94.4% | 97.6 | DULL | |
14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 1 | 39 | 9 | 11 | 17 | 9 | 30 | 7 | 12 | 16 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 22 | 13 | 23 | 9 | 18 | 8 | 50.0% | 10.3% | 83.3% | 93.6 | FUN | |
15 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 7 | 3 | 4 | 1.000 | 10 | 15 | 25 | 0 | 0 | 2 | 4 | 3 | 3 | 61 | 15 | 26 | 16 | 8 | 51 | 23 | 22 | 41 | 7 | 3 | 42.86% | 11 | 4 | 63.64% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 45 | 25 | 41 | 18 | 38 | 19 | 70.0% | 16.4% | 86.3% | 102.7 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 30 | 12 | 6 | 12 | 0 | 30 | 5 | 12 | 20 | 4 | 1 | 25.00% | 6 | 3 | 50.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 23 | 14 | 18 | 8 | 17 | 9 | 50.0% | 6.7% | 86.7% | 93.3 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 1 | 3 | 0 | 38 | 7 | 19 | 12 | 0 | 24 | 10 | 5 | 27 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 23 | 14 | 17 | 8 | 19 | 10 | 66.7% | 10.5% | 95.8% | 106.4 | LUCKY | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 1 | 4 | 0 | 57 | 17 | 13 | 27 | 0 | 54 | 19 | 21 | 38 | 6 | 3 | 50.00% | 8 | 1 | 87.50% | 2 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 41 | 23 | 43 | 18 | 35 | 17 | 75.0% | 10.5% | 96.3% | 106.8 | LUCKY | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 26 | 11 | 10 | 5 | 0 | 34 | 13 | 4 | 17 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 21 | 11 | 19 | 8 | 19 | 10 | 60.0% | 15.4% | 91.2% | 106.6 | LUCKY | |
20 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 7 | -5 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 75 | 21 | 24 | 30 | 3 | 69 | 19 | 18 | 39 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 44 | 25 | 45 | 19 | 35 | 17 | 33.3% | 2.7% | 89.9% | 92.5 | Unlucky | |
21 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 23 | 8 | 5 | 10 | 0 | 37 | 12 | 12 | 14 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 19 | 10 | 23 | 9 | 16 | 7 | 66.7% | 8.7% | 91.9% | 100.6 | DULL | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 32 | 21 | 5 | 6 | 0 | 28 | 11 | 14 | 19 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 22 | 12 | 20 | 9 | 17 | 8 | 25.0% | 3.1% | 89.3% | 92.4 | Unlucky | |
23 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 6 | 1.000 | 9 | 12 | 21 | 0 | 0 | 1 | 3 | 5 | 0 | 81 | 26 | 34 | 21 | 0 | 92 | 34 | 27 | 58 | 15 | 1 | 6.67% | 11 | 0 | 100.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 64 | 35 | 65 | 27 | 50 | 26 | 66.7% | 11.1% | 95.7% | 106.8 | LUCKY | |
24 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 1 | 2 | 0 | 0 | 95 | 32 | 29 | 34 | 0 | 93 | 21 | 30 | 55 | 9 | 0 | 0.00% | 15 | 2 | 86.67% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 66 | 38 | 60 | 26 | 53 | 26 | 33.3% | 3.2% | 91.4% | 94.6 | DULL | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 1 | 1 | 1 | 0 | 68 | 23 | 21 | 24 | 0 | 64 | 14 | 36 | 32 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 25 | 44 | 17 | 33 | 15 | 22.2% | 4.4% | 85.9% | 90.3 | Unlucky | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 4 | 8 | 0 | 0 | 1 | 2 | 1 | 0 | 65 | 18 | 21 | 26 | 0 | 55 | 4 | 31 | 42 | 6 | 1 | 16.67% | 8 | 4 | 50.00% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 42 | 26 | 44 | 18 | 32 | 16 | 37.5% | 6.2% | 83.6% | 89.8 | Unlucky | |
27 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 2 | 3 | 1 | 73 | 18 | 18 | 34 | 7 | 66 | 22 | 24 | 38 | 7 | 2 | 28.57% | 12 | 1 | 91.67% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 43 | 23 | 42 | 19 | 38 | 18 | 57.1% | 8.2% | 93.9% | 102.2 | DULL | |
28 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 2 | 1 | 67 | 12 | 27 | 24 | 4 | 51 | 16 | 17 | 37 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 47 | 27 | 40 | 17 | 35 | 19 | 71.4% | 10.4% | 92.2% | 102.6 | LUCKY | |
_Vs Division | 11 | 5 | 4 | 0 | 0 | 2 | 0 | 0 | 21 | 20 | 1 | 12 | 0.545 | 21 | 29 | 50 | 1 | 0 | 4 | 7 | 10 | 0 | 324 | 96 | 111 | 117 | 0 | 336 | 107 | 108 | 196 | 40 | 6 | 15.00% | 49 | 5 | 89.80% | 2 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 236 | 132 | 236 | 102 | 193 | 95 | 50.0% | 6.5% | 94.0% | 100.5 | DULL | |
_Vs Conference | 24 | 9 | 10 | 0 | 0 | 3 | 0 | 2 | 51 | 59 | -8 | 23 | 0.479 | 51 | 82 | 133 | 2 | 0 | 11 | 21 | 19 | 2 | 701 | 210 | 238 | 250 | 10 | 741 | 233 | 243 | 437 | 90 | 18 | 20.00% | 104 | 24 | 76.92% | 2 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 518 | 294 | 515 | 221 | 421 | 206 | 48.5% | 7.3% | 92.0% | 99.3 | DULL | |
_Since Last GM Reset | 50 | 16 | 20 | 0 | 2 | 4 | 3 | 5 | 113 | 133 | -20 | 51 | 0.510 | 113 | 180 | 293 | 3 | 1 | 20 | 45 | 43 | 13 | 1560 | 448 | 547 | 538 | 63 | 1514 | 474 | 498 | 949 | 174 | 30 | 17.24% | 219 | 51 | 76.71% | 4 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 1083 | 617 | 1078 | 465 | 890 | 437 | 50.3% | 7.2% | 91.2% | 98.5 | DULL | |
Total | 50 | 16 | 20 | 0 | 2 | 4 | 3 | 5 | 113 | 133 | -20 | 51 | 0.510 | 113 | 180 | 293 | 3 | 1 | 20 | 45 | 43 | 13 | 1560 | 448 | 547 | 538 | 63 | 1514 | 474 | 498 | 949 | 174 | 30 | 17.24% | 219 | 51 | 76.71% | 4 | 626 | 1216 | 51.48% | 613 | 1246 | 49.20% | 350 | 695 | 50.36% | 1083 | 617 | 1078 | 465 | 890 | 437 | 50.3% | 7.2% | 91.2% | 98.5 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1216 |
Neutral Zone Start | 695 |
Defensive Zone Start | 1246 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1589 |
Faceoffs Lost | 1568 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.0 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 30.7 | 30.68 |
Overtime | 31.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 76 |
---|---|
PP Goal | 30 |
PK Goal | 4 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 10 | 11 |
Lost | 11 | 9 |
Overtime Lost | 5 | 4 |
PP Attempt | 174 |
---|---|
PP Goal | 30 |
PK Attempt | 219 |
PK Goal Against | 51 |
Home | |
---|---|
Shots For | 31.2 |
Shots Against | 30.3 |
Goals For | 2.3 |
Goals Against | 2.7 |
Hits | 19.0 |
Shots Blocked | 9.5 |
Pim | 10.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Sabres4,Penguins2 | RECAP | ||
2020-10-27 | @ | Blue Jackets2,Penguins1 | RECAP | ||
2020-10-30 | @ | Jets1,Penguins2 (SO) | RECAP | ||
2020-11-01 | @ | Ducks3,Penguins1 | RECAP | ||
2020-11-03 | @ | Penguins2,Wild3 | RECAP | ||
2020-11-04 | @ | Penguins3,Jets4 | RECAP | ||
2020-11-07 | @ | Avalanche3,Penguins1 | RECAP | ||
2020-11-09 | @ | Stars2,Penguins3 (OT) | RECAP | ||
2020-11-10 | @ | Golden Knights1,Penguins3 | RECAP | ||
2020-11-13 | @ | Penguins2,Panthers6 | RECAP | ||
2020-11-14 | @ | Penguins4,Lightning3 | RECAP | ||
2020-11-17 | @ | Penguins1,Stars0 | RECAP | ||
2020-11-20 | @ | Flyers1,Penguins2 | RECAP | ||
2020-11-24 | @ | Oilers2,Penguins1 (SO) | RECAP | ||
2020-11-26 | @ | Penguins3,Bruins4 (SO) | RECAP | ||
2020-11-29 | @ | Penguins2,Islanders1 | RECAP | ||
2020-12-01 | @ | Blackhawks5,Penguins4 (SO) | RECAP | ||
2020-12-04 | @ | Penguins1,Rangers2 (OT) | RECAP | ||
2020-12-07 | @ | Penguins1,Devils2 (OT) | RECAP | ||
2020-12-08 | @ | Maple Leafs2,Penguins3 | RECAP | ||
2020-12-11 | @ | Islanders2,Penguins3 | RECAP | ||
2020-12-13 | @ | Penguins4,Islanders1 | RECAP | ||
2020-12-14 | @ | Devils2,Penguins1 | RECAP | ||
2020-12-17 | @ | Flames5,Penguins6 (SO) | RECAP | ||
2020-12-19 | @ | Canucks1,Penguins3 | RECAP | ||
2020-12-21 | @ | Penguins1,Blue Jackets3 | RECAP | ||
2020-12-22 | @ | Penguins2,Blues1 | RECAP | ||
2020-12-26 | @ | Blues3,Penguins4 (SO) | RECAP | ||
2020-12-28 | @ | Coyotes5,Penguins2 | RECAP | ||
2020-12-29 | @ | Penguins4,Red Wings1 | RECAP | ||
2021-01-01 | @ | Canadiens3,Penguins2 (SO) | RECAP | ||
2021-01-03 | @ | Blue Jackets3,Penguins1 | RECAP | ||
2021-01-05 | @ | Kings1,Penguins4 | RECAP | ||
2021-01-08 | @ | Penguins4,Flames2 | RECAP | ||
2021-01-11 | @ | Penguins1,Oilers5 | RECAP | ||
2021-01-12 | @ | Penguins4,Canucks3 | RECAP | ||
2021-01-18 | @ | Penguins1,Predators2 (OT) | RECAP | ||
2021-01-19 | @ | Predators2,Penguins1 (SO) | RECAP | ||
2021-01-21 | @ | Senators3,Penguins2 (OT) | RECAP | ||
2021-01-24 | @ | Sharks3,Penguins1 | RECAP | ||
2021-01-26 | @ | Penguins2,Canadiens3 | RECAP | ||
2021-01-27 | @ | Panthers3,Penguins1 | RECAP | ||
2021-01-29 | @ | Penguins4,Golden Knights3 (OT) | RECAP | ||
2021-02-01 | @ | Penguins1,Avalanche4 | RECAP | ||
2021-02-03 | @ | Penguins1,Coyotes4 | RECAP | ||
2021-02-05 | @ | Wild6,Penguins2 | RECAP | ||
2021-02-07 | @ | Penguins1,Bruins3 | RECAP | ||
2021-02-08 | @ | Penguins3,Red Wings2 | RECAP | ||
2021-02-10 | @ | Bruins2,Penguins1 | RECAP | ||
2021-02-12 | @ | Penguins4,Flyers1 | RECAP | ||
2021-02-22 | @ | ||||
2021-02-24 | @ | ||||
2021-02-28 | @ | ||||
2021-03-02 | @ | ||||
2021-03-05 | @ | ||||
2021-03-08 | @ | ||||
2021-03-10 | @ | ||||
2021-03-12 | @ | ||||
2021-03-14 | @ | ||||
2021-03-16 | @ | ||||
2021-03-17 | @ | ||||
2021-03-20 | @ | ||||
2021-03-22 | @ | ||||
2021-03-23 | @ | ||||
2021-03-26 | @ | ||||
2021-03-28 | @ | ||||
2021-03-30 | @ | ||||
2021-03-31 | @ | ||||
2021-04-02 | @ | ||||
2021-04-04 | @ | ||||
2021-04-06 | @ | ||||
2021-04-07 | @ | ||||
2021-04-10 | @ | ||||
2021-04-12 | @ | ||||
2021-04-14 | @ | ||||
2021-04-16 | @ | ||||
2021-04-17 | @ | ||||
2021-04-20 | @ | ||||
2021-04-21 | @ | ||||
2021-04-23 | @ | ||||
2021-04-25 | @ | ||||
2021-04-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
62,247,166$ | 0$ | 62,247,166$ | 19,252,834$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Mellon Arena | |
City | Pittsburgh | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 147092 | 125058 | 49467 | 100361 | 24902 |
Attendance PCT | 94.29% | 96.20% | 95.13% | 96.50% | 95.78% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
15 | 17188 - 95.49% | 606,736$ | 15,775,140$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
62,247,166$ | 62,247,166$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
42,668,370$ | 62,247,166$ | 42,668,370$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
9,101,042$ | 69 | 334,662$ | 23,091,678$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
23,091,678$ | 62,247,166$ | -359,906,500$ | -373,897,136$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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 pit 2021 | |||||
2 ballo pit 2021 | |||||
Adam Raska | 2020 | 193 | |||
Adam Ruzicka | 2017 | 98 | |||
Adam Tambellini | |||||
Alexander Khovanov | 2018 | 104 | |||
Alexander Peters | |||||
Alexis Gravel | 2018 | 129 | |||
Alexis Lafreniere | 2020 | 1 | |||
Blake Hillman | Link | ||||
Blake McLaughlin | 2018 | 73 | |||
Brendan Burke | |||||
Brent Pederson | |||||
Chad Johnson | Link | ||||
Chris Thorburn | Link | ||||
Clarke MacArthur | |||||
Colton Point | |||||
D'Artagnan Joly | 2017 | 151 | |||
Daemont Hunt | 2020 | 69 | |||
Dakota Joshua | |||||
Elmer Soderblom | 2019 | 164 | |||
Erik Walli-Walterholm | 2017 | 188 | |||
Filip Kral | 2018 | 135 | |||
Frank Corrado | |||||
Frededric Allard | |||||
Helge Grans | 2020 | 38 | |||
Henry Thrun | 2019 | 102 | |||
Ivan Fedotov | |||||
Jack Malone | 2019 | 172 | |||
Jason Garrison | Link | ||||
Jesper Vikman | 2020 | 131 | |||
Josiah Slavin | 2018 | 197 | |||
Judd Caulfield | 2019 | 133 | |||
Justus Annunen | 2018 | 60 | |||
Kaedan Korczak | 2019 | 40 | |||
Louis Crevier | 2020 | 162 | |||
Lucas Carlsson | |||||
Luke Green | |||||
Magnus Paajarvi | Link | ||||
Michael Downing | |||||
Michael Vukojevic | 2019 | 71 | |||
Nikita Soshnikov | Link | ||||
Nolan Vesey | |||||
Oleg Sosunov | |||||
Patrick Sanvido | |||||
Patrik Berglund | Link | ||||
Radovan Bondra | |||||
Rob Klinkhammer | |||||
Skyler Brind'Amour | 2017 | 158 | |||
Stephane Da Costa | |||||
Steven Ruggiero | |||||
Thimo Nickl | 2020 | 100 | |||
Tim Soderlund | 2017 | 128 | |||
Vasili Podkolzin | 2019 | 10 | |||
Victor Brattstrom | 2018 | 166 | |||
Zach Nastasiuk | |||||
Zachary Fucale |
|