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Full Scoreboard »» |
Pittsburgh Penguins 39-27-6, 84pts · 7th in Eastern |
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/LW/RW | 98.00 | 65 | 33 | 79 | 88 | 82 | 91 | 90 | 86 | 91 | 91 | 90 | 66 | 88 | 74 | 83 | 0 | 69 | 94 | 29 | 8,500,000$/9yrs | |||
![]() | 9 | C/LW/RW | 98.00 | 84 | 43 | 75 | 82 | 85 | 89 | 90 | 82 | 88 | 85 | 82 | 78 | 82 | 79 | 85 | 0 | 70 | 91 | 32 | 8,750,000$/6yrs | |||
![]() | 0 | C | 99.00 | 64 | 40 | 78 | 75 | 83 | 89 | 89 | 78 | 85 | 76 | 82 | 61 | 80 | 78 | 90 | 0 | 68 | 86 | 32 | 8,000,000$/5yrs | |||
![]() | 0 | C | 98.00 | 61 | 33 | 68 | 73 | 79 | 86 | 90 | 75 | 81 | 80 | 76 | 65 | 75 | 90 | 99 | 0 | 71 | 85 | 38 | 7,000,000$/2yrs | |||
![]() | 0 | RW | 99.00 | 63 | 33 | 91 | 78 | 81 | 85 | 89 | 76 | 60 | 75 | 79 | 59 | 77 | 71 | 70 | 0 | 69 | 84 | 28 | 6,650,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 34 | 85 | 70 | 74 | 89 | 90 | 70 | 86 | 73 | 70 | 78 | 70 | 75 | 73 | 0 | 69 | 81 | 30 | 5,500,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 38 | 76 | 65 | 88 | 81 | 85 | 68 | 76 | 68 | 66 | 78 | 67 | 68 | 65 | 0 | 45 | 78 | 25 | 3,200,000$/4yrs | |||
![]() | 0 | RW | 99.00 | 65 | 34 | 82 | 64 | 86 | 81 | 82 | 63 | 58 | 60 | 69 | 77 | 66 | 78 | 76 | 0 | 69 | 77 | 31 | 3,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 63 | 34 | 89 | 61 | 86 | 76 | 78 | 62 | 79 | 61 | 66 | 72 | 64 | 75 | 74 | 0 | 67 | 75 | 30 | 1,100,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 68 | 34 | 85 | 60 | 88 | 78 | 86 | 64 | 74 | 65 | 62 | 68 | 63 | 76 | 74 | 0 | 49 | 75 | 31 | 1,600,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 37 | 87 | 60 | 89 | 75 | 88 | 61 | 61 | 60 | 63 | 73 | 62 | 68 | 67 | 0 | 71 | 74 | 26 | 1,500,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 93 | 52 | 74 | 55 | 85 | 74 | 89 | 59 | 59 | 60 | 61 | 61 | 60 | 70 | 68 | 0 | 58 | 72 | 28 | 1,500,000$/1yrs | |||
![]() | 0 | D | 98.00 | 58 | 33 | 91 | 68 | 85 | 96 | 90 | 69 | 30 | 74 | 61 | 76 | 65 | 80 | 80 | 0 | 68 | 83 | 33 | 6,500,000$/2yrs | |||
![]() | 0 | D | 99.00 | 64 | 33 | 99 | 63 | 84 | 94 | 90 | 68 | 30 | 70 | 50 | 87 | 59 | 64 | 64 | 0 | 70 | 80 | 23 | 1,450,000$/2yrs | |||
![]() | 6 | D | 100.00 | 67 | 32 | 81 | 62 | 75 | 92 | 90 | 65 | 30 | 69 | 62 | 77 | 64 | 73 | 71 | 0 | 68 | 79 | 29 | 6,250,000$/7yrs | |||
![]() | 0 | D | 99.00 | 58 | 35 | 91 | 57 | 78 | 87 | 88 | 63 | 30 | 64 | 57 | 78 | 60 | 81 | 80 | 0 | 70 | 77 | 33 | 3,000,000$/2yrs | |||
![]() | 23 | D | 99.00 | 79 | 34 | 83 | 57 | 92 | 91 | 80 | 62 | 30 | 61 | 55 | 81 | 58 | 66 | 64 | 0 | 67 | 76 | 25 | 4,285,714$/6yrs | |||
![]() | 0 | D | 100.00 | 71 | 34 | 62 | 60 | 88 | 91 | 90 | 58 | 30 | 60 | 66 | 82 | 62 | 68 | 64 | 0 | 58 | 76 | 26 | 1,400,000$/6yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.22 | 69 | 36 | 82 | 67 | 84 | 86 | 87 | 68 | 60 | 70 | 68 | 73 | 68 | 74 | 75 | 0 | 65 | 80 |
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 | 99.00 | 93 | 91 | 79 | 88 | 91 | 80 | 90 | 90 | 87 | 91 | 90 | 78 | 82 | 0 | 56 | 91 | 31 | 6,000,000$/4yrs |
![]() | 0 | 100.00 | 77 | 78 | 73 | 83 | 77 | 72 | 78 | 81 | 77 | 82 | 78 | 78 | 82 | 0 | 76 | 82 | 32 | 1,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 85 | 85 | 76 | 86 | 84 | 76 | 84 | 86 | 82 | 87 | 84 | 78 | 82 | 0 | 66 | 87 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Pascal Vincent | 78 | 75 | 77 | 92 | 77 | 71 | 75 | CAN | 53 | 5 | 1,000,000$ |
General Manager | Étienne Côté |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Leon Draisaitl | 0 | C/LW/RW | 72 | 32 | 53 | 85 | 20 | 16 | 0 | 83 | 360 | 127 | 263 | 8.89% | 12 | 20.55 | 8 | 14 | 22 | 234 | 0 | 0 | 0 | 40 | 5 | 0 | 54.68% | 406 | 0 | 0 | 0 | 2 | 1.15 | 1 | 6 | |
2 | J.T. Miller | 9 | C/LW/RW | 71 | 30 | 35 | 65 | 6 | 72 | 10 | 204 | 271 | 96 | 206 | 11.07% | 17 | 20.64 | 7 | 11 | 18 | 205 | 1 | 0 | 1 | 262 | 8 | 0 | 55.35% | 598 | 0 | 0 | 0 | 1 | 0.89 | 1 | 6 | |
3 | Brock Boeser | 0 | RW | 72 | 21 | 28 | 49 | 17 | 22 | 0 | 54 | 220 | 58 | 149 | 9.55% | 6 | 20.19 | 5 | 8 | 13 | 251 | 0 | 0 | 0 | 46 | 4 | 2 | 42.99% | 214 | 0 | 0 | 0 | 0 | 0.67 | 0 | 1 | |
4 | Mark Scheifele | 0 | C | 72 | 18 | 28 | 46 | -1 | 46 | 10 | 77 | 233 | 59 | 166 | 7.73% | 8 | 18.50 | 2 | 13 | 15 | 243 | 0 | 0 | 0 | 29 | 2 | 1 | 51.84% | 1796 | 0 | 0 | 0 | 0 | 0.69 | 3 | 6 | |
5 | Evgeni Malkin | 0 | C | 72 | 15 | 30 | 45 | 6 | 33 | 5 | 104 | 207 | 45 | 131 | 7.25% | 7 | 18.62 | 2 | 8 | 10 | 216 | 0 | 0 | 0 | 31 | 1 | 0 | 52.79% | 1557 | 0 | 0 | 2 | 1 | 0.67 | 0 | 1 | |
6 | Travis Sanheim | 6 | D | 72 | 10 | 34 | 44 | 6 | 86 | 0 | 154 | 91 | 30 | 66 | 10.99% | 99 | 24.57 | 6 | 9 | 15 | 198 | 0 | 0 | 0 | 228 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
7 | Cam Fowler | 0 | D | 72 | 8 | 31 | 39 | 6 | 36 | 0 | 68 | 83 | 34 | 46 | 9.64% | 110 | 24.03 | 5 | 3 | 8 | 147 | 0 | 0 | 0 | 226 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
8 | Alex Vlasic | 0 | D | 72 | 9 | 27 | 36 | 14 | 52 | 0 | 117 | 90 | 25 | 47 | 10.00% | 108 | 21.39 | 4 | 8 | 12 | 182 | 0 | 1 | 1 | 221 | 1 | 1 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.47 | 0 | 0 | |
9 | J.T. Compher | 0 | C/RW | 72 | 11 | 24 | 35 | 0 | 16 | 0 | 30 | 176 | 47 | 143 | 6.25% | 22 | 16.50 | 0 | 5 | 5 | 60 | 0 | 0 | 0 | 122 | 3 | 0 | 51.16% | 86 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
10 | Joel Armia | 0 | RW | 72 | 14 | 14 | 28 | 7 | 8 | 0 | 37 | 131 | 40 | 87 | 10.69% | 9 | 14.91 | 1 | 2 | 3 | 189 | 0 | 0 | 0 | 218 | 2 | 0 | 46.94% | 98 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
11 | Trevor van Riemsdyk | 0 | D | 72 | 13 | 14 | 27 | 7 | 22 | 0 | 66 | 73 | 19 | 44 | 17.81% | 77 | 19.85 | 6 | 4 | 10 | 241 | 0 | 0 | 0 | 100 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
12 | Mattias Samuelsson | 23 | D | 72 | 5 | 22 | 27 | -2 | 73 | 5 | 113 | 91 | 30 | 40 | 5.49% | 97 | 17.45 | 1 | 5 | 6 | 138 | 0 | 1 | 1 | 162 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
13 | Michael Rasmussen | 0 | C/LW | 69 | 10 | 9 | 19 | -1 | 43 | 5 | 85 | 93 | 20 | 53 | 10.75% | 6 | 11.29 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 81 | 2 | 0 | 51.68% | 743 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
14 | Mark Jankowski | 0 | C/LW | 72 | 5 | 11 | 16 | 6 | 5 | 5 | 19 | 90 | 34 | 59 | 5.56% | 5 | 9.01 | 0 | 1 | 1 | 33 | 0 | 0 | 0 | 10 | 0 | 0 | 47.87% | 94 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
15 | Dylan Samberg | 0 | D | 66 | 2 | 12 | 14 | -3 | 66 | 0 | 90 | 30 | 18 | 21 | 6.67% | 57 | 13.07 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
16 | Morgan Barron | 0 | C/LW/RW | 72 | 6 | 7 | 13 | 6 | 33 | 5 | 63 | 73 | 14 | 42 | 8.22% | 11 | 10.63 | 2 | 0 | 2 | 20 | 0 | 0 | 0 | 102 | 1 | 0 | 43.75% | 288 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
17 | Oskar Sundqvist | 0 | C/RW | 71 | 6 | 4 | 10 | -14 | 6 | 0 | 18 | 58 | 13 | 49 | 10.34% | 17 | 9.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 242 | 1 | 0 | 47.60% | 500 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
18 | Keegan Kolesar | 0 | C/LW/RW | 68 | 3 | 0 | 3 | -10 | 50 | 10 | 105 | 30 | 5 | 21 | 10.00% | 3 | 7.91 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 0 | 1 | 44.12% | 34 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
Team Total or Average | 1281 | 218 | 383 | 601 | 70 | 685 | 55 | 1487 | 2400 | 714 | 1633 | 9.08% | 671 | 16.64 | 49 | 91 | 140 | 2374 | 1 | 2 | 3 | 2175 | 36 | 7 | 51.39% | 6414 | 0 | 0 | 3 | 4 | 0.56 | 5 | 20 |
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 | Linus Ullmark | 56 | 30 | 20 | 5 | 0.907 | 2.78 | 3222 | 4 | 1 | 149 | 1609 | 0 | 1 | 1 | 0.850 | 20 | 55 | 16 | 7 | 2 | 2 | |
2 | Scott Wedgewood | 23 | 9 | 7 | 1 | 0.919 | 2.56 | 1127 | 0 | 1 | 48 | 595 | 0 | 0 | 0 | 0.000 | 0 | 17 | 55 | 3 | 0 | 0 | |
Team Total or Average | 79 | 39 | 27 | 6 | 0.911 | 2.72 | 4349 | 4 | 2 | 197 | 2204 | 0 | 1 | 1 | 0.850 | 20 | 72 | 71 | 10 | 2 | 2 |
Projected Total Cap Hit | 86,609,722$ |
Projected Cap Space | 1,390,278$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 75,489,097$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Penguins Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Vlasic ![]() | D | 23 | 1,450,000$ | 1,450,000$ | 1,450,000$ | ||||||
Brock Boeser ![]() | RW | 28 | 6,650,000$ | 6,650,000$ | UFA | ||||||
Cam Fowler ![]() | D | 33 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Dylan Samberg ![]() | D | 26 | 1,400,000$ | 1,400,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |
Evgeni Malkin ![]() | C | 38 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
J.T. Compher ![]() | C/RW | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
J.T. Miller ![]() | C/LW/RW | 32 | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | UFA | |
Joel Armia ![]() | RW | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Keegan Kolesar ![]() | C/LW/RW | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Leon Draisaitl ![]() | C/LW/RW | 29 | 8,500,000$ | 8,500,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ | 14,000,000$ |
Linus Ullmark | G | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Mark Jankowski ![]() | C/LW | 30 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Mark Scheifele ![]() | C | 32 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Mattias Samuelsson ![]() | D | 25 | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | UFA | |
Michael Rasmussen ![]() | C/LW | 25 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | |||
Morgan Barron ![]() | C/LW/RW | 26 | 1,500,000$ | 1,500,000$ | |||||||
Oskar Sundqvist ![]() | C/RW | 31 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Scott Wedgewood | G | 32 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Travis Sanheim ![]() | D | 29 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA |
Trevor van Riemsdyk ![]() | D | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Edstrom ![]() | C | 24 | 846,667$ | 846,667$ | RFA | ||||||
Benjamin Kraws ![]() | G | 24 | 850,000$ | 850,000$ | RFA | ||||||
Bogdan Trineyev ![]() | RW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Cam Morrison ![]() | C | 26 | 0$ | ![]() | |||||||
Cam Thiesing ![]() | C | 24 | 870,000$ | 870,000$ | 870,000$ | ![]() | |||||
Cameron Butler ![]() | RW | 22 | 858,333$ | 858,333$ | 858,333$ | RFA | |||||
Cameron Crotty ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Chad Ruhwedel ![]() | D | 34 | 775,000$ | 775,000$ | UFA | ||||||
Curtis Hall ![]() | C | 24 | 825,000$ | 825,000$ | 825,000$ | ![]() | |||||
Dennis Cholowski ![]() | D | 27 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Ilya Nikolayev ![]() | C | 23 | 836,667$ | 836,667$ | RFA | ||||||
Isaac Ratcliffe ![]() | LW | 26 | 0$ | ![]() | |||||||
Jack Finley ![]() | C | 22 | 797,500$ | 797,500$ | RFA | ||||||
Jacob Larsson ![]() | D | 27 | 0$ | UFA | |||||||
Jacob Moverare ![]() | D | 26 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Jakob Pivonka ![]() | C | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Jaxson Nelson ![]() | C | 25 | 870,000$ | 870,000$ | ![]() | ||||||
Joey Anderson ![]() | RW | 26 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Kurtis MacDermid ![]() | LW/D | 31 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | ||||
Kyle McDonald ![]() | RW | 23 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Louie Belpedio ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Marcus Sylvegard ![]() | LW/RW | 25 | 870,000$ | 870,000$ | ![]() | ||||||
Markus Niemelainen ![]() | D | 26 | 0$ | ![]() | |||||||
Michael Bullion ![]() | G | 27 | 0$ | UFA | |||||||
Mikulas Hovorka ![]() | D | 23 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Nick Cousins ![]() | C/LW/RW | 31 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Nicolas Aube-Kubel ![]() | RW | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Nikita Tolopilo ![]() | G | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Oliver Okuliar ![]() | LW | 24 | 870,000$ | 870,000$ | ![]() | ||||||
Oscar Eklind ![]() | C/LW | 26 | 950,000$ | 950,000$ | ![]() | ||||||
Owen Sillinger ![]() | C | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Riley Tufte ![]() | LW | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Ross Johnston ![]() | LW | 31 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Sam Hentges ![]() | C | 25 | 0$ | ![]() | |||||||
Serron Noel ![]() | RW | 24 | 900,000$ | 900,000$ | RFA | ||||||
Tyce Thompson ![]() | RW | 25 | 0$ | ![]() | |||||||
Tyler Angle ![]() | LW | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Tyler Kleven ![]() | D | 23 | 916,667$ | 916,667$ | RFA | ||||||
Victor Ostman ![]() | G | 24 | 870,000$ | 870,000$ | 870,000$ | ![]() | |||||
Waltteri Ignatjew ![]() | G | 25 | 870,000$ | 870,000$ | ![]() |
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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 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 5 | 1 | 0 | 0 | 69 | 26 | 25 | 16 | 2 | 72 | 23 | 29 | 43 | 9 | 3 | 33.33% | 7 | 1 | 85.71% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 51 | 35 | 47 | 13 | 25 | 12 | 37.5% | 8.7% | 91.7% | 100.4 | DULL | |
2 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 10 | 2 | 6 | 0.750 | 12 | 21 | 33 | 0 | 0 | 4 | 4 | 3 | 1 | 132 | 46 | 46 | 36 | 4 | 145 | 30 | 14 | 92 | 17 | 2 | 11.76% | 7 | 1 | 85.71% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 97 | 68 | 95 | 29 | 51 | 25 | 52.6% | 9.1% | 93.1% | 102.2 | LUCKY | |
3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 5 | 4 | 0 | 0 | 92 | 27 | 35 | 30 | 0 | 96 | 28 | 28 | 51 | 10 | 1 | 10.00% | 13 | 2 | 84.62% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 69 | 46 | 72 | 22 | 37 | 19 | 44.4% | 9.8% | 87.5% | 97.3 | FUN | |
4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 0 | 3 | 1 | 95 | 28 | 15 | 48 | 7 | 54 | 13 | 18 | 38 | 11 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 59 | 43 | 39 | 14 | 25 | 13 | 63.6% | 7.4% | 90.7% | 98.1 | Unlucky | |
5 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 20 | 6 | 14 | 6 | 0.750 | 20 | 36 | 56 | 0 | 0 | 5 | 7 | 8 | 0 | 138 | 48 | 54 | 36 | 0 | 108 | 35 | 40 | 77 | 19 | 5 | 26.32% | 18 | 0 | 100.00% | 1 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 96 | 65 | 93 | 31 | 50 | 25 | 71.4% | 14.5% | 94.4% | 108.9 | LUCKY | |
6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.333 | 8 | 12 | 20 | 0 | 0 | 2 | 5 | 1 | 0 | 100 | 29 | 32 | 39 | 0 | 108 | 31 | 35 | 66 | 4 | 1 | 25.00% | 15 | 3 | 80.00% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 66 | 45 | 75 | 22 | 37 | 17 | 53.8% | 8.0% | 91.7% | 99.7 | DULL | |
7 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 2 | 1 | 2 | 69 | 14 | 26 | 24 | 8 | 60 | 28 | 18 | 42 | 5 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 49 | 35 | 54 | 15 | 25 | 11 | 100.0% | 7.2% | 95.0% | 102.2 | DULL | |
8 | 4 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 11 | 16 | -5 | 2 | 0.250 | 11 | 21 | 32 | 0 | 0 | 2 | 4 | 5 | 0 | 176 | 46 | 61 | 63 | 6 | 124 | 42 | 24 | 78 | 16 | 2 | 12.50% | 12 | 5 | 58.33% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 106 | 76 | 88 | 28 | 49 | 25 | 45.0% | 6.3% | 87.1% | 93.3 | Unlucky | |
9 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 6 | 1.000 | 8 | 16 | 24 | 0 | 1 | 2 | 3 | 2 | 1 | 70 | 15 | 31 | 23 | 1 | 108 | 23 | 26 | 72 | 8 | 1 | 12.50% | 13 | 1 | 92.31% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 64 | 43 | 81 | 22 | 36 | 17 | 70.0% | 11.4% | 96.3% | 107.7 | LUCKY | |
10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 6 | 6 | 4 | 0.667 | 12 | 20 | 32 | 0 | 0 | 3 | 5 | 4 | 0 | 116 | 35 | 43 | 38 | 0 | 66 | 18 | 26 | 58 | 10 | 2 | 20.00% | 7 | 2 | 71.43% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 81 | 58 | 60 | 20 | 38 | 21 | 71.4% | 10.3% | 90.9% | 101.3 | FUN | |
11 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 6 | 1.000 | 10 | 15 | 25 | 0 | 0 | 7 | 2 | 1 | 0 | 121 | 44 | 26 | 51 | 0 | 88 | 26 | 24 | 37 | 12 | 1 | 8.33% | 12 | 1 | 91.67% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 79 | 57 | 64 | 21 | 35 | 17 | 69.2% | 8.3% | 94.3% | 102.6 | DULL | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 0 | 2 | 59 | 19 | 16 | 23 | 4 | 70 | 22 | 10 | 48 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 47 | 33 | 53 | 15 | 24 | 11 | 44.4% | 10.2% | 91.4% | 101.6 | LUCKY | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 20 | 30 | 0 | 0 | 3 | 5 | 2 | 0 | 81 | 25 | 27 | 29 | 0 | 53 | 23 | 10 | 33 | 11 | 2 | 18.18% | 4 | 1 | 75.00% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 50 | 34 | 43 | 15 | 26 | 14 | 72.7% | 12.3% | 92.5% | 104.8 | LUCKY | |
14 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 16 | 24 | 0 | 0 | 4 | 2 | 2 | 0 | 66 | 32 | 8 | 20 | 9 | 54 | 25 | 30 | 46 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 47 | 32 | 50 | 16 | 27 | 12 | 50.0% | 12.1% | 87.0% | 99.2 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 3 | 6 | 0 | 0 | 71 | 22 | 28 | 21 | 0 | 48 | 9 | 5 | 33 | 6 | 3 | 50.00% | 0 | 0 | 0.00% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 56 | 41 | 37 | 13 | 26 | 14 | 60.0% | 12.7% | 91.7% | 104.3 | LUCKY | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 4 | 1 | 3 | 0 | 67 | 21 | 27 | 19 | 0 | 70 | 17 | 18 | 32 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 49 | 35 | 44 | 14 | 26 | 13 | 77.8% | 11.9% | 95.7% | 107.7 | LUCKY | |
17 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 0 | 1 | 45 | 16 | 14 | 12 | 6 | 73 | 16 | 28 | 40 | 8 | 1 | 12.50% | 13 | 1 | 92.31% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 43 | 28 | 54 | 16 | 26 | 11 | 42.9% | 8.9% | 93.2% | 102.0 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 25 | 10 | 5 | 10 | 0 | 33 | 12 | 10 | 23 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 21 | 14 | 25 | 7 | 12 | 6 | 40.0% | 8.0% | 87.9% | 95.9 | Unlucky | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 66 | 28 | 27 | 11 | 0 | 61 | 19 | 20 | 40 | 6 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 49 | 32 | 44 | 14 | 26 | 13 | 33.3% | 4.5% | 85.2% | 89.8 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 9 | 16 | 0 | 0 | 3 | 1 | 3 | 0 | 52 | 14 | 19 | 19 | 0 | 49 | 16 | 30 | 44 | 4 | 1 | 25.00% | 8 | 3 | 62.50% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 46 | 32 | 47 | 14 | 26 | 12 | 54.5% | 13.5% | 83.7% | 97.1 | FUN | |
21 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 2 | 1 | 61 | 17 | 20 | 22 | 2 | 60 | 17 | 28 | 39 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 47 | 31 | 48 | 15 | 24 | 12 | 55.6% | 11.5% | 91.7% | 103.1 | LUCKY | |
22 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 11 | 8 | 3 | 5 | 0.833 | 11 | 20 | 31 | 0 | 1 | 3 | 3 | 4 | 1 | 112 | 33 | 30 | 42 | 12 | 64 | 15 | 26 | 61 | 20 | 5 | 25.00% | 13 | 0 | 100.00% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 81 | 56 | 66 | 23 | 39 | 21 | 42.9% | 9.8% | 87.5% | 97.3 | FUN | |
23 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 81 | 24 | 26 | 31 | 0 | 131 | 50 | 48 | 72 | 14 | 4 | 28.57% | 22 | 3 | 86.36% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 68 | 46 | 73 | 21 | 37 | 18 | 10.0% | 6.2% | 90.8% | 97.0 | Unlucky | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 71 | 21 | 23 | 27 | 0 | 52 | 15 | 18 | 51 | 10 | 2 | 20.00% | 8 | 1 | 87.50% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 51 | 36 | 42 | 14 | 25 | 12 | 37.5% | 7.0% | 88.5% | 95.5 | Unlucky | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 47 | 9 | 23 | 15 | 0 | 55 | 17 | 20 | 39 | 6 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 41 | 26 | 51 | 15 | 26 | 12 | 50.0% | 10.6% | 87.3% | 97.9 | FUN | |
26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 16 | 7 | 10 | 0 | 33 | 9 | 8 | 18 | 6 | 1 | 16.67% | 4 | 3 | 25.00% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 24 | 16 | 23 | 6 | 11 | 5 | 50.0% | 6.1% | 87.9% | 93.9 | Unlucky | |
27 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 12 | -2 | 3 | 0.500 | 10 | 16 | 26 | 0 | 0 | 2 | 5 | 3 | 0 | 92 | 34 | 34 | 22 | 2 | 123 | 35 | 32 | 75 | 12 | 3 | 25.00% | 16 | 3 | 81.25% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 69 | 46 | 77 | 21 | 38 | 19 | 43.8% | 10.9% | 90.2% | 101.1 | FUN | |
28 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 3 | 0 | 1 | 0 | 63 | 20 | 21 | 22 | 0 | 57 | 19 | 14 | 29 | 9 | 1 | 11.11% | 6 | 2 | 66.67% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 44 | 29 | 51 | 15 | 24 | 12 | 37.5% | 6.3% | 87.7% | 94.1 | Unlucky | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 51 | 15 | 21 | 15 | 0 | 49 | 16 | 12 | 46 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 52 | 37 | 42 | 13 | 25 | 13 | 42.9% | 7.8% | 89.8% | 97.6 | Unlucky | |
30 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 16 | 19 | 19 | 0 | 49 | 12 | 28 | 31 | 9 | 0 | 0.00% | 14 | 1 | 92.86% | 0 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 48 | 31 | 45 | 15 | 26 | 13 | 0.0% | 0.0% | 93.9% | 93.9 | DULL | |
_Vs Division | 24 | 10 | 11 | 0 | 1 | 2 | 0 | 0 | 75 | 70 | 5 | 24 | 0.500 | 75 | 131 | 206 | 0 | 0 | 27 | 29 | 18 | 1 | 840 | 264 | 280 | 286 | 10 | 800 | 242 | 213 | 473 | 92 | 16 | 17.39% | 99 | 15 | 84.85% | 1 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 585 | 406 | 563 | 178 | 300 | 148 | 51.8% | 8.9% | 91.3% | 100.2 | Unlucky | |
_Vs Conference | 44 | 21 | 14 | 0 | 4 | 3 | 1 | 1 | 145 | 121 | 24 | 56 | 0.636 | 145 | 251 | 396 | 0 | 2 | 48 | 50 | 42 | 5 | 1505 | 461 | 499 | 519 | 34 | 1394 | 396 | 417 | 892 | 174 | 31 | 17.82% | 177 | 27 | 84.75% | 1 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 1083 | 753 | 1029 | 324 | 556 | 279 | 54.8% | 9.6% | 91.3% | 101.0 | LUCKY | |
_Since Last GM Reset | 72 | 30 | 27 | 0 | 5 | 4 | 4 | 2 | 218 | 201 | 17 | 84 | 0.583 | 218 | 381 | 599 | 1 | 2 | 75 | 79 | 55 | 10 | 2375 | 750 | 789 | 793 | 63 | 2213 | 661 | 677 | 1454 | 284 | 49 | 17.25% | 285 | 49 | 82.81% | 1 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 1763 | 1220 | 1697 | 534 | 917 | 458 | 52.6% | 9.2% | 90.9% | 100.1 | FUN | |
Total | 72 | 30 | 27 | 0 | 5 | 4 | 4 | 2 | 218 | 201 | 17 | 84 | 0.583 | 218 | 381 | 599 | 1 | 2 | 75 | 79 | 55 | 10 | 2375 | 750 | 789 | 793 | 63 | 2213 | 661 | 677 | 1454 | 284 | 49 | 17.25% | 285 | 49 | 82.81% | 1 | 1358 | 2607 | 52.09% | 1292 | 2530 | 51.07% | 558 | 1127 | 49.51% | 1763 | 1220 | 1697 | 534 | 917 | 458 | 52.6% | 9.2% | 90.9% | 100.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2607 |
Neutral Zone Start | 1127 |
Defensive Zone Start | 2530 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3208 |
Faceoffs Lost | 3056 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 32.4 | 30.68 |
Overtime | 33.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 167 |
---|---|
PP Goal | 49 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 17 | 22 |
Lost | 17 | 10 |
Overtime Lost | 3 | 3 |
PP Attempt | 284 |
---|---|
PP Goal | 49 |
PK Attempt | 285 |
PK Goal Against | 49 |
Home | |
---|---|
Shots For | 33.0 |
Shots Against | 30.7 |
Goals For | 3.0 |
Goals Against | 2.8 |
Hits | 20.2 |
Shots Blocked | 9.2 |
Pim | 9.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-11 | @ | Rangers5,Penguins4 (OT) | RECAP | |||||||||||
2024-10-12 | @ | Penguins5,Red Wings3 | RECAP | |||||||||||
2024-10-14 | @ | Penguins4,Maple Leafs5 (OT) | RECAP | |||||||||||
2024-10-16 | @ | Penguins7,Canadiens2 | RECAP | |||||||||||
2024-10-18 | @ | Sabres3,Penguins4 (OT) | RECAP | |||||||||||
2024-10-20 | @ | Hurricanes4,Penguins3 | RECAP | |||||||||||
2024-10-22 | @ | Penguins2,Jets4 | RECAP | |||||||||||
2024-10-24 | @ | Penguins3,Flames2 | RECAP | |||||||||||
2024-10-27 | @ | Penguins3,Oilers2 (SO) | RECAP | |||||||||||
2024-10-28 | @ | Penguins5,Canucks2 | RECAP | |||||||||||
2024-10-31 | @ | Wild4,Penguins3 | RECAP | |||||||||||
2024-11-02 | @ | Ducks3,Penguins4 | RECAP | |||||||||||
2024-11-04 | @ | Canadiens3,Penguins2 | RECAP | |||||||||||
2024-11-07 | @ | Penguins5,Islanders2 | RECAP | |||||||||||
2024-11-09 | @ | Penguins3,Hurricanes1 | RECAP | |||||||||||
2024-11-10 | @ | Penguins5,Capitals3 | RECAP | |||||||||||
2024-11-13 | @ | Stars4,Penguins2 | RECAP | |||||||||||
2024-11-15 | @ | Red Wings0,Penguins1 (OT) | RECAP | |||||||||||
2024-11-17 | @ | Penguins2,Blue Jackets3 | RECAP | |||||||||||
2024-11-18 | @ | Sharks2,Penguins1 | RECAP | |||||||||||
2024-11-21 | @ | Lightning1,Penguins2 | RECAP | |||||||||||
2024-11-24 | @ | Jets2,Penguins3 | RECAP | |||||||||||
2024-11-25 | @ | Hockey Club4,Penguins3 | RECAP | |||||||||||
2024-11-29 | @ | Canucks2,Penguins5 | RECAP | |||||||||||
2024-12-01 | @ | Penguins6,Bruins3 | RECAP | |||||||||||
2024-12-02 | @ | Flames4,Penguins3 (OT) | RECAP | |||||||||||
2024-12-05 | @ | Panthers0,Penguins3 | RECAP | |||||||||||
2024-12-08 | @ | Penguins2,Rangers3 (OT) | RECAP | |||||||||||
2024-12-09 | @ | Maple Leafs1,Penguins3 | RECAP | |||||||||||
2024-12-12 | @ | Avalanche1,Penguins2 (SO) | RECAP | |||||||||||
2024-12-14 | @ | Penguins3,Canadiens1 | RECAP | |||||||||||
2024-12-16 | @ | Penguins4,Senators3 (SO) | RECAP | |||||||||||
2024-12-19 | @ | Kings4,Penguins3 (SO) | RECAP | |||||||||||
2024-12-21 | @ | Penguins4,Predators3 | RECAP | |||||||||||
2024-12-23 | @ | Penguins3,Devils4 | RECAP | |||||||||||
2024-12-25 | @ | Flyers4,Penguins2 | RECAP | |||||||||||
2024-12-30 | @ | Penguins0,Islanders2 | RECAP | |||||||||||
2024-12-31 | @ | Islanders1,Penguins6 | RECAP | |||||||||||
2025-01-02 | @ | Penguins2,Red Wings1 | RECAP | |||||||||||
2025-01-05 | @ | Penguins4,Panthers3 (OT) | RECAP | |||||||||||
2025-01-07 | @ | Penguins2,Hurricanes4 | RECAP | |||||||||||
2025-01-09 | @ | Blue Jackets5,Penguins1 | RECAP | |||||||||||
2025-01-11 | @ | Oilers3,Penguins1 | RECAP | |||||||||||
2025-01-13 | @ | Senators2,Penguins3 | RECAP | |||||||||||
2025-01-14 | @ | Lightning2,Penguins6 | RECAP | |||||||||||
2025-01-16 | @ | Kraken1,Penguins0 | RECAP | |||||||||||
2025-01-19 | @ | Penguins3,Sabres2 | RECAP | |||||||||||
2025-01-20 | @ | Penguins2,Capitals1 | RECAP | |||||||||||
2025-01-22 | @ | Penguins5,Kings3 | RECAP | |||||||||||
2025-01-25 | @ | Penguins1,Ducks4 | RECAP | |||||||||||
2025-01-27 | @ | Penguins0,Kraken2 | RECAP | |||||||||||
2025-01-29 | @ | Penguins3,Sharks5 | RECAP | |||||||||||
2025-01-31 | @ | Penguins0,Hockey Club5 | RECAP | |||||||||||
2025-02-03 | @ | Predators1,Penguins5 | RECAP | |||||||||||
2025-02-06 | @ | Devils7,Penguins3 | RECAP | |||||||||||
2025-02-09 | @ | Penguins2,Rangers3 | RECAP | |||||||||||
2025-02-10 | @ | Penguins4,Flyers2 | RECAP | |||||||||||
2025-02-24 | @ | Capitals1,Penguins3 | RECAP | |||||||||||
2025-02-25 | @ | Rangers5,Penguins3 | RECAP | |||||||||||
2025-02-27 | @ | Penguins3,Flyers2 | RECAP | |||||||||||
2025-03-01 | @ | Flyers2,Penguins3 (OT) | RECAP | |||||||||||
2025-03-03 | @ | Bruins5,Penguins1 | RECAP | |||||||||||
2025-03-04 | @ | Maple Leafs6,Penguins3 | RECAP | |||||||||||
2025-03-06 | @ | Penguins3,Avalanche2 (OT) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | Penguins2,Golden Knights1 | RECAP | |||||||||||
2025-03-11 | @ | Penguins3,Wild2 (SO) | RECAP | |||||||||||
2025-03-13 | @ | Golden Knights4,Penguins2 | RECAP | |||||||||||
2025-03-15 | @ | Blues4,Penguins2 | RECAP | |||||||||||
2025-03-17 | @ | Devils1,Penguins3 | RECAP | |||||||||||
2025-03-20 | @ | Islanders1,Penguins9 | RECAP | |||||||||||
2025-03-23 | @ | Blue Jackets4,Penguins2 | RECAP | |||||||||||
2025-03-25 | @ | Penguins4,Panthers5 (SO) | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,185,714$ | 0$ | 86,609,722$ | 814,286$ |
Arena | Goal Horn | About us | |
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![]() | Name | PPG Paints Arena | |
City | Pittsburgh | ||
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$ | 25$ | 200$ |
Attendance | 208677 | 176547 | 70850 | 140260 | 35013 |
Attendance PCT | 94.00% | 95.43% | 95.74% | 94.77% | 94.63% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
4 | 17063 - 94.80% | 1,561,735$ | 57,784,179$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,185,714$ | 87,185,714$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
76,361,544$ | 444,825$ | 75,489,097$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
6,246,938$ | 25 | 449,927$ | 11,248,175$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
11,487,392$ | 87,185,714$ | 22,868,750$ | 17,628,296$ |
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 | Ronde 8 |
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2025 | ||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Alexei Lipanov | 5.0 - 3.5 | ||||
Ben MacDonald | 2022 | 106 | |||
Brady Cleveland | 2023 | 71 | |||
Daimon Gardner | 2022 | 138 | |||
Daniil Pylenkov | 2021 | 210 | |||
Emmitt Finnie | 2023 | 216 | |||
Henrik Tikkanen | |||||
Hudson Malinoski | 2023 | 159 | |||
Jacob Leguerrier | 2019 | 144 | |||
Joel Svensson | 2024 | 156 | |||
Kristian Tanus | 2020 | 170 | |||
Luke Ashton | 2024 | 183 | |||
Manix Landry | 2021 | 153 | |||
Mathew Hill | |||||
Matyas Melovsky | 2024 | 190 | |||
Melker Thelin | 2023 | 131 | |||
Nathan Aspinall | 2024 | 180 | |||
Nikita Yevseyev | 2022 | 217 | |||
Rhett Pitlick | 2019 | 124 | |||
Ryan MacPherson | 2023 | 198 | |||
Santeri Airola | 2019 | 207 | |||
Terrell Goldsmith | 2023 | 122 | |||
Vladislav Kotkov | 6.5 - 3.5 |
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