|
|
|
|
|
|
Full Scoreboard »» |
Chicago Blackhawks 35-38-8, 78pts · 10th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 98.00 | 75 | 33 | 93 | 75 | 81 | 84 | 89 | 72 | 60 | 68 | 78 | 67 | 75 | 68 | 67 | 0 | 62 | 82 | 26 | 5,000,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 32 | 86 | 70 | 70 | 84 | 80 | 75 | 60 | 74 | 77 | 50 | 76 | 78 | 76 | 0 | 38 | 82 | 32 | 4,500,000$/5yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 70 | 34 | 78 | 66 | 73 | 83 | 89 | 66 | 85 | 68 | 67 | 75 | 67 | 82 | 79 | 0 | 38 | 79 | 34 | 3,150,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 33 | 93 | 70 | 79 | 82 | 86 | 67 | 77 | 73 | 64 | 70 | 65 | 71 | 71 | 0 | 66 | 78 | 28 | 4,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 34 | 91 | 70 | 74 | 86 | 88 | 68 | 74 | 71 | 67 | 67 | 68 | 67 | 66 | 0 | 38 | 78 | 25 | 2,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 37 | 92 | 65 | 63 | 77 | 71 | 61 | 79 | 61 | 68 | 64 | 64 | 67 | 66 | 0 | 29 | 74 | 26 | 950,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 64 | 32 | 91 | 55 | 70 | 73 | 88 | 59 | 79 | 58 | 62 | 71 | 60 | 89 | 88 | 0 | 62 | 73 | 38 | 1,450,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 73 | 35 | 88 | 62 | 82 | 75 | 83 | 59 | 59 | 61 | 61 | 66 | 60 | 68 | 67 | 0 | 65 | 73 | 26 | 850,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 82 | 46 | 78 | 56 | 84 | 74 | 80 | 62 | 59 | 62 | 62 | 64 | 62 | 69 | 67 | 0 | 33 | 73 | 27 | 1,350,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 74 | 35 | 88 | 61 | 80 | 78 | 90 | 62 | 78 | 62 | 63 | 64 | 62 | 66 | 64 | 0 | 45 | 73 | 25 | 1,400,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 64 | 35 | 87 | 55 | 79 | 73 | 87 | 59 | 57 | 59 | 64 | 56 | 61 | 84 | 82 | 0 | 27 | 72 | 35 | 1,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 78 | 38 | 84 | 57 | 76 | 75 | 86 | 56 | 74 | 57 | 58 | 63 | 57 | 66 | 65 | 0 | 61 | 70 | 25 | 850,000$/2yrs | |||
![]() | 0 | D | 98.00 | 70 | 36 | 82 | 60 | 84 | 90 | 83 | 65 | 30 | 66 | 58 | 81 | 61 | 76 | 74 | 0 | 54 | 79 | 30 | 5,750,000$/5yrs | |||
![]() | 0 | D | 100.00 | 84 | 51 | 58 | 59 | 87 | 85 | 81 | 64 | 30 | 66 | 61 | 81 | 63 | 81 | 76 | 0 | 35 | 79 | 33 | 4,800,000$/3yrs | |||
![]() | 0 | D | 99.00 | 69 | 33 | 93 | 55 | 80 | 89 | 89 | 62 | 30 | 65 | 56 | 77 | 59 | 82 | 82 | 0 | 29 | 77 | 34 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 68 | 33 | 81 | 55 | 82 | 86 | 84 | 62 | 30 | 61 | 58 | 77 | 60 | 82 | 81 | 0 | 19 | 76 | 34 | 2,000,000$/1yrs | |||
![]() | 0 | D | 99.00 | 76 | 38 | 81 | 60 | 79 | 83 | 73 | 58 | 30 | 64 | 54 | 68 | 56 | 63 | 61 | 0 | 52 | 74 | 23 | 950,000$/1yrs | |||
![]() | 0 | D | 97.01 | 65 | 36 | 89 | 55 | 73 | 80 | 76 | 56 | 30 | 61 | 54 | 62 | 55 | 79 | 78 | 0 | 15 | 72 | 32 | 800,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 64 | 39 | 83 | 55 | 78 | 65 | 76 | 52 | 30 | 61 | 50 | 63 | 56 | 59 | 58 | 0 | 19 | 69 | 23 | 894,167$/1yrs | |||
TEAM AVERAGE | 99.47 | 69 | 36 | 85 | 61 | 78 | 80 | 83 | 62 | 55 | 64 | 62 | 68 | 62 | 74 | 72 | 0 | 41 | 75 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 32 | 95.00 | 84 | 94 | 80 | 64 | 91 | 83 | 92 | 93 | 92 | 93 | 92 | 66 | 70 | 0 | 52 | 89 | 24 | 950,000$/1yrs |
![]() | 0 | 100.00 | 78 | 77 | 73 | 96 | 80 | 74 | 79 | 82 | 79 | 82 | 79 | 83 | 87 | 0 | 43 | 84 | 35 | 5,500,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 66 | 66 | 64 | 75 | 62 | 72 | 65 | 66 | 72 | 73 | 67 | 58 | 58 | 0 | 18 | 72 | 21 | 795,556$/2yrs |
TEAM AVERAGE | 98.33 | 76 | 79 | 72 | 78 | 78 | 76 | 79 | 80 | 81 | 83 | 79 | 69 | 72 | 0 | 38 | 82 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Tocchet | 96 | 88 | 91 | 87 | 88 | 77 | 61 | CAN | 60 | 5 | 1,000,000$ |
General Manager | Yan Turgeon |
---|
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 | Owen Tippett | 0 | LW/RW | 81 | 23 | 33 | 56 | 6 | 36 | 0 | 147 | 326 | 98 | 230 | 7.06% | 10 | 18.87 | 8 | 11 | 19 | 264 | 0 | 0 | 0 | 90 | 5 | 3 | 48.00% | 125 | 0 | 0 | 0 | 1 | 0.73 | 0 | 1 | |
2 | Erik Haula | 0 | C/LW/RW | 81 | 15 | 38 | 53 | 0 | 38 | 0 | 145 | 251 | 80 | 155 | 5.98% | 24 | 19.54 | 2 | 11 | 13 | 255 | 0 | 0 | 0 | 147 | 1 | 2 | 53.01% | 1247 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
3 | Viktor Arvidsson | 0 | LW/RW | 81 | 21 | 23 | 44 | -11 | 12 | 0 | 38 | 241 | 69 | 136 | 8.71% | 2 | 16.89 | 5 | 9 | 14 | 248 | 0 | 0 | 0 | 1 | 5 | 0 | 43.62% | 94 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
4 | Josh Manson | 0 | D | 72 | 9 | 34 | 43 | 10 | 112 | 10 | 209 | 94 | 51 | 74 | 9.57% | 102 | 19.07 | 0 | 10 | 10 | 194 | 1 | 0 | 1 | 143 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.63 | 0 | 0 | |
5 | Adam Pelech | 0 | D | 75 | 9 | 26 | 35 | -20 | 80 | 0 | 119 | 120 | 54 | 87 | 7.50% | 115 | 23.56 | 5 | 10 | 15 | 246 | 0 | 0 | 0 | 236 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
6 | Jack Roslovic | 0 | C/RW | 82 | 9 | 25 | 34 | -12 | 19 | 5 | 35 | 186 | 51 | 121 | 4.84% | 14 | 12.74 | 3 | 5 | 8 | 75 | 0 | 0 | 0 | 45 | 0 | 0 | 49.13% | 743 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
7 | Nick Jensen | 0 | D | 81 | 12 | 20 | 32 | -13 | 22 | 0 | 68 | 87 | 30 | 64 | 13.79% | 104 | 20.48 | 7 | 3 | 10 | 224 | 0 | 0 | 0 | 209 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
8 | Philipp Kurashev | 0 | C/LW/RW | 81 | 13 | 15 | 28 | -12 | 2 | 0 | 9 | 133 | 45 | 98 | 9.77% | 11 | 9.95 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 4 | 1 | 50.00% | 54 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
9 | Jan Rutta | 0 | D | 66 | 3 | 18 | 21 | -7 | 58 | 0 | 75 | 54 | 21 | 46 | 5.56% | 63 | 16.50 | 1 | 1 | 2 | 63 | 0 | 0 | 0 | 88 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
10 | Nathan Bastian | 0 | RW | 78 | 6 | 13 | 19 | -14 | 40 | 0 | 150 | 86 | 26 | 51 | 6.98% | 3 | 11.24 | 1 | 4 | 5 | 163 | 0 | 0 | 0 | 0 | 1 | 0 | 34.85% | 66 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
11 | Boris Katchouk | 0 | LW | 56 | 6 | 11 | 17 | -5 | 25 | 5 | 75 | 91 | 33 | 58 | 6.59% | 11 | 14.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 3 | 0 | 55.74% | 61 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
12 | Jordan Oesterle | 0 | D | 56 | 3 | 11 | 14 | -1 | 26 | 0 | 55 | 23 | 23 | 17 | 13.04% | 61 | 19.81 | 1 | 1 | 2 | 85 | 0 | 0 | 0 | 127 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
13 | Isaak Phillips | 0 | D | 20 | 0 | 11 | 11 | 3 | 26 | 0 | 40 | 10 | 7 | 4 | 0.00% | 30 | 18.17 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
14 | Joe Veleno | 0 | C/RW | 81 | 6 | 2 | 8 | -7 | 20 | 0 | 47 | 70 | 17 | 54 | 8.57% | 3 | 8.38 | 1 | 0 | 1 | 81 | 0 | 0 | 0 | 16 | 1 | 2 | 51.21% | 621 | 0 | 0 | 0 | 0 | 0.24 | 0 | 1 | |
15 | Cole Guttman | 0 | C | 23 | 4 | 4 | 8 | 0 | 2 | 0 | 4 | 27 | 7 | 22 | 14.81% | 1 | 12.01 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 11 | 0 | 1 | 54.84% | 310 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
16 | Derek Ryan | 0 | C/LW/RW | 81 | 3 | 4 | 7 | -12 | 10 | 0 | 23 | 74 | 18 | 46 | 4.05% | 11 | 10.23 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 261 | 0 | 0 | 54.27% | 457 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
17 | Craig Smith | 0 | RW | 41 | 2 | 3 | 5 | 8 | 4 | 0 | 6 | 16 | 3 | 10 | 12.50% | 2 | 11.39 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 42.86% | 483 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
18 | Shakir Mukhamadullin | 0 | D | 15 | 0 | 4 | 4 | -1 | 14 | 0 | 18 | 7 | 2 | 5 | 0.00% | 19 | 20.43 | 0 | 1 | 1 | 37 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
19 | MacKenzie Entwistle | 0 | C | 19 | 1 | 1 | 2 | 1 | 14 | 0 | 15 | 12 | 1 | 5 | 8.33% | 3 | 7.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
Team Total or Average | 1170 | 145 | 296 | 441 | -87 | 560 | 20 | 1278 | 1908 | 636 | 1283 | 7.60% | 589 | 15.46 | 34 | 66 | 100 | 1970 | 1 | 0 | 1 | 1490 | 28 | 10 | 50.53% | 4269 | 0 | 0 | 1 | 1 | 0.49 | 0 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Dustin Wolf | 44 | 22 | 13 | 5 | 0.914 | 2.55 | 2426 | 4 | 2 | 103 | 1192 | 0 | 1 | 1 | 0.625 | 8 | 40 | 37 | 5 | 0 | 3 | |
2 | Frederik Andersen | 42 | 13 | 23 | 3 | 0.904 | 3.18 | 2362 | 4 | 0 | 125 | 1297 | 0 | 2 | 1 | 0.000 | 0 | 39 | 39 | 1 | 0 | 2 | |
3 | Anson Thornton | 2 | 0 | 2 | 0 | 0.875 | 5.81 | 93 | 0 | 0 | 9 | 72 | 0 | 0 | 0 | 0.000 | 0 | 2 | 2 | 0 | 0 | 0 | |
Team Total or Average | 88 | 35 | 38 | 8 | 0.907 | 2.91 | 4882 | 8 | 2 | 237 | 2561 | 0 | 3 | 2 | 0.625 | 8 | 81 | 78 | 6 | 0 | 5 |
Projected Total Cap Hit | 70,987,059$ |
Projected Cap Space | 17,012,941$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 70,169,103$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Blackhawks Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Anson Thornton ![]() | G | 21 | 795,556$ | 795,556$ | 795,556$ | RFA | |||||
Boris Katchouk ![]() | LW | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Cole Guttman ![]() | C | 26 | 950,000$ | 950,000$ | |||||||
Craig Smith ![]() | RW | 35 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Derek Ryan ![]() | C/LW/RW | 38 | 1,450,000$ | 1,450,000$ | UFA | ||||||
Dustin Wolf ![]() | G | 24 | 950,000$ | 950,000$ | RFA | ||||||
Erik Haula ![]() | C/LW/RW | 34 | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||||
Frederik Andersen | G | 35 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Isaak Phillips ![]() | D | 23 | 950,000$ | 950,000$ | RFA | ||||||
Jack Roslovic ![]() | C/RW | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Jan Rutta ![]() | D | 34 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Joe Veleno ![]() | C/RW | 25 | 1,400,000$ | 1,400,000$ | |||||||
Jordan Oesterle ![]() | D | 32 | 800,000$ | 800,000$ | UFA | ||||||
Josh Manson ![]() | D | 33 | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | ||||
MacKenzie Entwistle ![]() | C | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Nathan Bastian ![]() | RW | 27 | 1,350,000$ | 1,350,000$ | |||||||
Nick Jensen ![]() | D | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Owen Tippett ![]() | LW/RW | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |
Philipp Kurashev ![]() | C/LW/RW | 25 | 2,250,000$ | 2,250,000$ | |||||||
Shakir Mukhamadullin ![]() | D | 23 | 894,167$ | 894,167$ | RFA | ||||||
Viktor Arvidsson ![]() | LW/RW | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bradly Nadeau ![]() | LW | 19 | 775,000$ | 775,000$ | RFA | ||||||
Brett Seney ![]() | C/LW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Cameron Hillis ![]() | C | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Chad Yetman ![]() | RW | 25 | 0$ | ![]() | |||||||
Cole Reinhardt ![]() | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Connor Corcoran ![]() | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Dryden McKay ![]() | G | 27 | 850,000$ | 850,000$ | ![]() | ||||||
Filip Roos ![]() | D | 26 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Greg Printz ![]() | LW | 26 | 0$ | ![]() | |||||||
Jake Livingstone ![]() | D | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Jakub Galvas ![]() | D | 25 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Jalen Luypen ![]() | C | 22 | 859,167$ | 859,167$ | RFA | ||||||
Jaxson Stauber ![]() | G | 25 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Jaycob Megna ![]() | D | 32 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Jeremy Brodeur ![]() | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Jesse Puljujarvi ![]() | RW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Johan Sodergran ![]() | RW | 25 | 975,000$ | 975,000$ | ![]() | ||||||
Louis Crevier ![]() | D | 23 | 950,000$ | 950,000$ | RFA | ||||||
Markus Phillips ![]() | D | 26 | 0$ | ![]() | |||||||
Nolan Patrick ![]() | C | 26 | 0$ | ![]() | |||||||
Oscar Dansk ![]() | G | 31 | 800,000$ | 800,000$ | UFA | ||||||
Patrick Guay ![]() | C/LW | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Riley Stillman ![]() | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Robert Hagg ![]() | D | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Ronan Seeley ![]() | D | 22 | 810,000$ | 810,000$ | RFA | ||||||
Sam Carrick ![]() | C/RW | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | ||||
Samuel Savoie ![]() | LW | 21 | 878,333$ | 878,333$ | 878,333$ | RFA | |||||
Tanner Dickinson ![]() | C | 23 | 826,667$ | 826,667$ | RFA | ||||||
Taylor Ward ![]() | RW | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Victor Lodin ![]() | C/LW | 25 | 800,000$ | 800,000$ | ![]() | ||||||
William Wallinder ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Wyatt Kaiser ![]() | D | 22 | 916,667$ | 916,667$ | RFA |
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 | 1 | 0 | 0 | 0 | 5 | 10 | -5 | 2 | 0.333 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 1 | 1 | 93 | 24 | 30 | 38 | 1 | 108 | 26 | 26 | 53 | 15 | 2 | 13.33% | 10 | 2 | 80.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 69 | 48 | 72 | 22 | 38 | 18 | 27.3% | 5.4% | 90.7% | 96.1 | Unlucky | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 2 | 5 | 2 | 0 | 74 | 20 | 30 | 24 | 0 | 77 | 19 | 18 | 35 | 10 | 4 | 40.00% | 9 | 3 | 66.67% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 50 | 36 | 45 | 14 | 24 | 11 | 55.6% | 12.2% | 90.9% | 103.1 | FUN | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 73 | 21 | 24 | 28 | 0 | 47 | 19 | 14 | 50 | 10 | 1 | 10.00% | 6 | 5 | 16.67% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 53 | 37 | 41 | 13 | 24 | 13 | 71.4% | 8.2% | 85.1% | 93.3 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 35 | 15 | 7 | 13 | 0 | 30 | 12 | 13 | 26 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 23 | 16 | 24 | 7 | 12 | 5 | 60.0% | 8.6% | 93.3% | 101.9 | DULL | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 5 | 2 | 1 | 0 | 76 | 31 | 18 | 27 | 0 | 73 | 11 | 12 | 51 | 11 | 4 | 36.36% | 6 | 1 | 83.33% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 50 | 36 | 43 | 14 | 26 | 12 | 50.0% | 10.5% | 93.2% | 103.7 | LUCKY | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 58 | 18 | 13 | 27 | 0 | 69 | 30 | 20 | 37 | 5 | 1 | 20.00% | 9 | 2 | 77.78% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 43 | 29 | 51 | 13 | 24 | 12 | 33.3% | 5.2% | 91.3% | 96.5 | DULL | |
7 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 6 | 7 | 7 | 0.875 | 13 | 25 | 38 | 0 | 0 | 4 | 3 | 6 | 0 | 107 | 36 | 30 | 41 | 0 | 106 | 27 | 24 | 87 | 13 | 3 | 23.08% | 11 | 0 | 100.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 98 | 68 | 93 | 30 | 50 | 25 | 62.5% | 12.1% | 94.3% | 106.5 | LUCKY | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 60 | 19 | 27 | 14 | 0 | 63 | 18 | 16 | 41 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 1 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 45 | 30 | 46 | 15 | 28 | 13 | 25.0% | 3.3% | 88.9% | 92.2 | Unlucky | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 4 | 2 | 2 | 0 | 69 | 21 | 16 | 32 | 0 | 69 | 18 | 22 | 40 | 6 | 3 | 50.00% | 11 | 2 | 81.82% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 43 | 28 | 49 | 14 | 26 | 13 | 62.5% | 11.6% | 92.8% | 104.3 | LUCKY | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 1 | 5 | 0 | 59 | 17 | 17 | 25 | 0 | 57 | 22 | 18 | 35 | 3 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 40 | 26 | 52 | 16 | 27 | 13 | 80.0% | 13.6% | 91.2% | 104.8 | LUCKY | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 1 | 3 | 0 | 0 | 53 | 24 | 18 | 11 | 0 | 78 | 18 | 30 | 32 | 5 | 1 | 20.00% | 14 | 1 | 92.86% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 38 | 25 | 57 | 16 | 23 | 10 | 50.0% | 7.5% | 94.9% | 102.4 | DULL | |
12 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 11 | 13 | -2 | 3 | 0.375 | 11 | 21 | 32 | 1 | 0 | 3 | 3 | 5 | 0 | 120 | 29 | 42 | 48 | 4 | 131 | 35 | 43 | 78 | 15 | 2 | 13.33% | 18 | 1 | 94.44% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 95 | 62 | 99 | 28 | 50 | 25 | 42.9% | 9.2% | 90.1% | 99.2 | FUN | |
13 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 4 | 0.667 | 13 | 21 | 34 | 0 | 0 | 7 | 3 | 3 | 0 | 107 | 41 | 34 | 32 | 0 | 86 | 31 | 16 | 67 | 12 | 0 | 0.00% | 7 | 1 | 85.71% | 2 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 77 | 56 | 64 | 20 | 37 | 20 | 68.4% | 12.1% | 91.9% | 104.0 | LUCKY | |
14 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 3 | 3 | 1 | 0 | 97 | 38 | 37 | 22 | 0 | 118 | 35 | 20 | 65 | 14 | 1 | 7.14% | 10 | 2 | 80.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 66 | 44 | 76 | 22 | 36 | 17 | 40.0% | 7.2% | 90.7% | 97.9 | Unlucky | |
15 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 13 | 13 | 0 | 5 | 0.625 | 13 | 25 | 38 | 1 | 0 | 4 | 6 | 3 | 0 | 172 | 46 | 51 | 72 | 3 | 124 | 42 | 34 | 81 | 19 | 5 | 26.32% | 16 | 2 | 87.50% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 103 | 73 | 87 | 30 | 52 | 26 | 42.1% | 7.6% | 89.5% | 97.1 | Unlucky | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 1 | 3 | 1 | 0 | 78 | 25 | 28 | 25 | 0 | 63 | 14 | 16 | 48 | 7 | 2 | 28.57% | 7 | 1 | 85.71% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 50 | 35 | 44 | 14 | 25 | 12 | 60.0% | 6.4% | 95.2% | 101.6 | DULL | |
17 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 7 | 7 | 0 | 4 | 0.667 | 7 | 13 | 20 | 0 | 0 | 2 | 3 | 2 | 0 | 99 | 23 | 36 | 32 | 11 | 91 | 33 | 22 | 48 | 16 | 4 | 25.00% | 10 | 1 | 90.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 72 | 48 | 73 | 22 | 39 | 19 | 33.3% | 7.1% | 92.3% | 99.4 | DULL | |
18 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 4 | 8 | -4 | 1 | 0.167 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 87 | 21 | 29 | 37 | 0 | 98 | 30 | 30 | 70 | 7 | 1 | 14.29% | 15 | 0 | 100.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 67 | 45 | 75 | 24 | 38 | 18 | 27.3% | 4.6% | 91.8% | 96.4 | DULL | |
19 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 15 | -7 | 2 | 0.250 | 8 | 15 | 23 | 0 | 0 | 2 | 4 | 2 | 0 | 149 | 71 | 43 | 35 | 0 | 132 | 49 | 36 | 92 | 21 | 5 | 23.81% | 18 | 2 | 88.89% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 94 | 66 | 96 | 30 | 48 | 22 | 18.8% | 5.4% | 88.6% | 94.0 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 53 | 22 | 24 | 7 | 0 | 56 | 22 | 14 | 41 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 47 | 32 | 47 | 13 | 24 | 12 | 37.5% | 5.7% | 91.1% | 96.7 | Unlucky | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 68 | 32 | 16 | 20 | 0 | 51 | 12 | 10 | 45 | 12 | 1 | 8.33% | 5 | 0 | 100.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 49 | 33 | 45 | 15 | 25 | 12 | 50.0% | 7.4% | 92.2% | 99.5 | DULL | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 4 | 1 | 2 | 0 | 83 | 29 | 25 | 29 | 0 | 50 | 14 | 12 | 43 | 11 | 1 | 9.09% | 6 | 2 | 66.67% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 52 | 37 | 41 | 16 | 25 | 13 | 54.5% | 8.4% | 86.0% | 94.4 | Unlucky | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 3 | 0 | 3 | 0 | 60 | 23 | 12 | 25 | 0 | 81 | 27 | 12 | 45 | 9 | 2 | 22.22% | 2 | 0 | 100.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 45 | 32 | 51 | 14 | 23 | 11 | 28.6% | 10.0% | 87.7% | 97.7 | FUN | |
24 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 6 | 1.000 | 11 | 22 | 33 | 0 | 0 | 5 | 3 | 3 | 0 | 105 | 41 | 26 | 38 | 0 | 85 | 20 | 26 | 75 | 9 | 3 | 33.33% | 12 | 2 | 83.33% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 76 | 52 | 64 | 21 | 38 | 19 | 66.7% | 10.5% | 92.9% | 103.4 | LUCKY | |
25 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 2 | 0.333 | 9 | 16 | 25 | 0 | 0 | 7 | 1 | 1 | 0 | 106 | 37 | 30 | 39 | 0 | 108 | 29 | 34 | 84 | 13 | 1 | 7.69% | 14 | 3 | 78.57% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 70 | 46 | 71 | 23 | 38 | 18 | 47.1% | 8.5% | 88.9% | 97.4 | Unlucky | |
26 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 12 | 0 | 4 | 0.500 | 12 | 22 | 34 | 0 | 0 | 2 | 3 | 7 | 0 | 129 | 27 | 46 | 56 | 0 | 132 | 40 | 49 | 82 | 22 | 3 | 13.64% | 21 | 5 | 76.19% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 92 | 63 | 98 | 32 | 48 | 23 | 56.3% | 9.3% | 90.9% | 100.2 | FUN | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 70 | 31 | 25 | 14 | 0 | 58 | 35 | 12 | 43 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 44 | 30 | 49 | 14 | 26 | 12 | 40.0% | 5.7% | 87.9% | 93.6 | Unlucky | |
28 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 60 | 19 | 25 | 16 | 0 | 50 | 14 | 22 | 34 | 10 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 42 | 28 | 51 | 14 | 26 | 13 | 20.0% | 1.7% | 90.0% | 91.7 | Unlucky | |
29 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 9 | 13 | -4 | 1 | 0.167 | 9 | 15 | 24 | 0 | 0 | 4 | 2 | 3 | 0 | 81 | 21 | 24 | 33 | 6 | 99 | 30 | 44 | 59 | 15 | 2 | 13.33% | 21 | 4 | 80.95% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 63 | 41 | 83 | 24 | 38 | 17 | 43.8% | 11.1% | 86.9% | 98.0 | FUN | |
30 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 10 | 0 | 3 | 0.500 | 10 | 19 | 29 | 0 | 0 | 3 | 2 | 5 | 0 | 115 | 39 | 30 | 45 | 1 | 92 | 13 | 25 | 56 | 11 | 1 | 9.09% | 10 | 1 | 90.00% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 75 | 51 | 68 | 22 | 40 | 19 | 50.0% | 8.7% | 89.1% | 97.8 | Unlucky | |
31 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 3 | 0 | 3 | 0 | 97 | 38 | 19 | 40 | 0 | 81 | 37 | 20 | 61 | 9 | 3 | 33.33% | 9 | 2 | 77.78% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 70 | 49 | 72 | 22 | 37 | 18 | 27.3% | 6.2% | 87.7% | 93.8 | Unlucky | |
_Vs Division | 26 | 12 | 10 | 0 | 0 | 3 | 0 | 1 | 72 | 73 | -1 | 28 | 0.538 | 72 | 138 | 210 | 2 | 0 | 20 | 23 | 29 | 0 | 869 | 271 | 267 | 327 | 7 | 808 | 243 | 242 | 565 | 106 | 22 | 20.75% | 111 | 12 | 89.19% | 0 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 629 | 432 | 615 | 197 | 326 | 162 | 45.0% | 8.3% | 91.0% | 99.3 | Unlucky | |
_Vs Conference | 50 | 19 | 22 | 0 | 1 | 5 | 0 | 3 | 138 | 153 | -15 | 48 | 0.480 | 138 | 257 | 395 | 2 | 0 | 51 | 38 | 48 | 1 | 1664 | 532 | 507 | 608 | 26 | 1591 | 477 | 449 | 1058 | 211 | 36 | 17.06% | 202 | 28 | 86.14% | 2 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 1194 | 819 | 1197 | 377 | 634 | 312 | 44.9% | 8.3% | 90.4% | 98.7 | Unlucky | |
_Since Last GM Reset | 81 | 34 | 38 | 0 | 1 | 5 | 0 | 3 | 220 | 242 | -22 | 78 | 0.481 | 220 | 410 | 630 | 2 | 2 | 83 | 66 | 70 | 1 | 2693 | 899 | 832 | 945 | 26 | 2563 | 782 | 710 | 1704 | 325 | 56 | 17.23% | 320 | 51 | 84.06% | 3 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 1916 | 1316 | 1940 | 608 | 1029 | 506 | 46.2% | 8.2% | 90.6% | 98.7 | Unlucky | |
Total | 81 | 34 | 38 | 0 | 1 | 5 | 0 | 3 | 220 | 242 | -22 | 78 | 0.481 | 220 | 410 | 630 | 2 | 2 | 83 | 66 | 70 | 1 | 2693 | 899 | 832 | 945 | 26 | 2563 | 782 | 710 | 1704 | 325 | 56 | 17.23% | 320 | 51 | 84.06% | 3 | 1522 | 3008 | 50.60% | 1468 | 2890 | 50.80% | 610 | 1246 | 48.96% | 1916 | 1316 | 1940 | 608 | 1029 | 506 | 46.2% | 8.2% | 90.6% | 98.7 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3008 |
Neutral Zone Start | 1246 |
Defensive Zone Start | 2890 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3600 |
Faceoffs Lost | 3544 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 33.0 | 30.68 |
Overtime | 33.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 159 |
---|---|
PP Goal | 56 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 21 | 14 |
Lost | 15 | 23 |
Overtime Lost | 5 | 3 |
PP Attempt | 325 |
---|---|
PP Goal | 56 |
PK Attempt | 320 |
PK Goal Against | 51 |
Home | |
---|---|
Shots For | 33.2 |
Shots Against | 31.6 |
Goals For | 2.7 |
Goals Against | 3.0 |
Hits | 21.0 |
Shots Blocked | 9.7 |
Pim | 8.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-10 | @ | Blackhawks2,Hockey Club5 | RECAP | |||||||||||
2024-10-13 | @ | Blackhawks4,Jets2 | RECAP | |||||||||||
2024-10-14 | @ | Blackhawks2,Oilers3 (SO) | RECAP | |||||||||||
2024-10-17 | @ | Blackhawks2,Flames5 | RECAP | |||||||||||
2024-10-19 | @ | Sharks5,Blackhawks4 (SO) | RECAP | |||||||||||
2024-10-21 | @ | Sabres1,Blackhawks3 | RECAP | |||||||||||
2024-10-24 | @ | Canucks2,Blackhawks7 | RECAP | |||||||||||
2024-10-27 | @ | Predators4,Blackhawks2 | RECAP | |||||||||||
2024-10-28 | @ | Blackhawks3,Stars4 | RECAP | |||||||||||
2024-10-30 | @ | Blackhawks2,Avalanche3 (OT) | RECAP | |||||||||||
2024-11-02 | @ | Blackhawks4,Sharks5 | RECAP | |||||||||||
2024-11-04 | @ | Blackhawks3,Kings2 | RECAP | |||||||||||
2024-11-05 | @ | Blackhawks2,Ducks4 | RECAP | |||||||||||
2024-11-08 | @ | Red Wings4,Blackhawks5 | RECAP | |||||||||||
2024-11-09 | @ | Blackhawks2,Stars4 | RECAP | |||||||||||
2024-11-12 | @ | Wild2,Blackhawks5 | RECAP | |||||||||||
2024-11-16 | @ | Blackhawks1,Kraken3 | RECAP | |||||||||||
2024-11-18 | @ | Blackhawks1,Canucks4 | RECAP | |||||||||||
2024-11-21 | @ | Ducks4,Blackhawks2 | RECAP | |||||||||||
2024-11-23 | @ | Panthers3,Blackhawks5 | RECAP | |||||||||||
2024-11-25 | @ | Blackhawks2,Flyers4 | RECAP | |||||||||||
2024-11-29 | @ | Stars2,Blackhawks3 | RECAP | |||||||||||
2024-12-01 | @ | Blackhawks1,Wild3 | RECAP | |||||||||||
2024-12-03 | @ | Blue Jackets5,Blackhawks2 | RECAP | |||||||||||
2024-12-04 | @ | Blackhawks3,Maple Leafs4 | RECAP | |||||||||||
2024-12-06 | @ | Bruins4,Blackhawks1 | RECAP | |||||||||||
2024-12-09 | @ | Jets3,Blackhawks5 | RECAP | |||||||||||
2024-12-11 | @ | Blackhawks0,Rangers3 | RECAP | |||||||||||
2024-12-14 | @ | Blackhawks4,Islanders2 | RECAP | |||||||||||
2024-12-16 | @ | Blackhawks2,Devils5 | RECAP | |||||||||||
2024-12-17 | @ | Islanders3,Blackhawks4 | RECAP | |||||||||||
2024-12-19 | @ | Capitals4,Blackhawks1 | RECAP | |||||||||||
2024-12-21 | @ | Kraken2,Blackhawks4 | RECAP | |||||||||||
2024-12-23 | @ | Blackhawks3,Flames2 (OT) | RECAP | |||||||||||
2024-12-25 | @ | Blackhawks4,Wild5 (SO) | RECAP | |||||||||||
2024-12-29 | @ | Blackhawks2,Sabres3 | RECAP | |||||||||||
2024-12-31 | @ | Stars2,Blackhawks4 | RECAP | |||||||||||
2025-01-02 | @ | Blues3,Blackhawks2 (OT) | RECAP | |||||||||||
2025-01-05 | @ | Canadiens2,Blackhawks4 | RECAP | |||||||||||
2025-01-07 | @ | Rangers4,Blackhawks2 | RECAP | |||||||||||
2025-01-10 | @ | Avalanche1,Blackhawks3 | RECAP | |||||||||||
2025-01-12 | @ | Blackhawks3,Red Wings1 | RECAP | |||||||||||
2025-01-13 | @ | Oilers2,Blackhawks4 | RECAP | |||||||||||
2025-01-15 | @ | Flames3,Blackhawks0 | RECAP | |||||||||||
2025-01-18 | @ | Blackhawks3,Predators2 | RECAP | |||||||||||
2025-01-20 | @ | Golden Knights2,Blackhawks5 | RECAP | |||||||||||
2025-01-22 | @ | Hurricanes3,Blackhawks2 | RECAP | |||||||||||
2025-01-26 | @ | Lightning3,Blackhawks4 | RECAP | |||||||||||
2025-01-28 | @ | Wild3,Blackhawks1 | RECAP | |||||||||||
2025-01-30 | @ | Blackhawks1,Lightning0 | RECAP | |||||||||||
2025-02-01 | @ | Blackhawks1,Hurricanes3 | RECAP | |||||||||||
2025-02-03 | @ | Blackhawks2,Panthers4 | RECAP | |||||||||||
2025-02-07 | @ | Oilers2,Blackhawks1 (OT) | RECAP | |||||||||||
2025-02-09 | @ | Predators5,Blackhawks4 (OT) | RECAP | |||||||||||
2025-02-10 | @ | Blackhawks2,Blues3 | RECAP | |||||||||||
2025-02-24 | @ | Blackhawks4,Blue Jackets5 | RECAP | |||||||||||
2025-02-25 | @ | Maple Leafs3,Blackhawks1 | RECAP | |||||||||||
2025-02-27 | @ | Blackhawks1,Hockey Club4 | RECAP | |||||||||||
2025-03-01 | @ | Blackhawks2,Golden Knights4 | RECAP | |||||||||||
2025-03-03 | @ | Blackhawks5,Ducks4 | RECAP | |||||||||||
2025-03-05 | @ | Kings5,Blackhawks2 | RECAP | |||||||||||
2025-03-07 | @ | Senators2,Blackhawks3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | Hockey Club2,Blackhawks4 | RECAP | |||||||||||
2025-03-10 | @ | Blackhawks4,Predators2 | RECAP | |||||||||||
2025-03-12 | @ | Blackhawks4,Avalanche1 | RECAP | |||||||||||
2025-03-15 | @ | Blackhawks1,Sharks3 | RECAP | |||||||||||
2025-03-17 | @ | Blackhawks5,Canucks1 | RECAP | |||||||||||
2025-03-20 | @ | Kraken5,Blackhawks1 | RECAP | |||||||||||
2025-03-22 | @ | Kings4,Blackhawks2 | RECAP | |||||||||||
2025-03-24 | @ | Blackhawks0,Blues2 | RECAP | |||||||||||
2025-03-25 | @ | Flyers3,Blackhawks7 | RECAP | |||||||||||
2025-03-28 | @ | Devils2,Blackhawks4 | RECAP | |||||||||||
2025-03-30 | @ | Golden Knights4,Blackhawks3 (OT) | RECAP | |||||||||||
2025-04-01 | @ | Hockey Club4,Blackhawks1 | RECAP | |||||||||||
2025-04-04 | @ | Avalanche1,Blackhawks4 | RECAP | |||||||||||
2025-04-06 | @ | Blackhawks3,Capitals0 | RECAP | |||||||||||
2025-04-08 | @ | Penguins3,Blackhawks0 | RECAP | |||||||||||
2025-04-10 | @ | Blackhawks1,Penguins2 | RECAP | |||||||||||
2025-04-12 | @ | Blackhawks2,Bruins1 | RECAP | |||||||||||
2025-04-14 | @ | Jets1,Blackhawks2 | RECAP | |||||||||||
2025-04-16 | @ | Blackhawks4,Canadiens3 | RECAP | |||||||||||
2025-04-17 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
53,439,723$ | 0$ | 70,987,059$ | 34,560,277$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | United Center | |
City | Chicago | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 229462 | 189608 | 75864 | 150382 | 37534 |
Attendance PCT | 93.28% | 92.49% | 92.52% | 91.70% | 91.55% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 16655 - 92.53% | 1,529,696$ | 62,717,550$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
53,439,723$ | 53,439,723$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
71,153,793$ | 272,652$ | 70,169,103$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 3 | 277,754$ | 833,262$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
833,262$ | 53,439,723$ | 84,977,045$ | 84,143,783$ |
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 | Ronde 8 |
---|---|---|---|---|---|---|---|---|
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
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 |
---|---|---|---|---|---|
Aidan Thompson | 2022 | 105 | |||
Alexis Bernier | 2024 | 88 | |||
Angus Macdonnell | 2023 | 192 | |||
Bard Gardiner | 2023 | 99 | |||
Cedric Guindon | 2022 | 107 | |||
Charlie Leddy | 2022 | 146 | |||
Cole O'Hara | 2022 | 125 | |||
Cole Spicer | 2022 | 120 | |||
Connor Kurth | 2022 | 183 | |||
Hampton Slukynsky | 2023 | 94 | |||
Jacob Fowler | 2023 | 51 | |||
Jake Ryczek | |||||
Juha Jatkola | 2023 | 95 | |||
Matthew Perkins | 2023 | 137 | |||
Nathaniel Day | 2023 | 190 | |||
Nikita Ishimnikov | 2023 | 172 | |||
Riku Tohila | 2022 | 216 | |||
Trevor Connelly | 2024 | 15 | |||
Zach Nehring | 2023 | 103 | |||
Zakhar Bardakov | 2021 | 218 |
|