| Chicago Blackhawks 8-14-1, 17pts · 14th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Evander Kane | 0 | LW/RW | 99.00 | 91 | 43 | 63 | 68 | 83 | 84 | 77 | 69 | 61 | 66 | 75 | 59 | 72 | 82 | 78 | 0 | 29 | 80 | 34 | 7,500,000$/5yrs | |||
Patrik Laine | 0 | LW/RW | 98.00 | 60 | 33 | 90 | 71 | 85 | 80 | 76 | 68 | 60 | 65 | 79 | 59 | 73 | 70 | 69 | 0 | 35 | 79 | 27 | 8,000,000$/2yrs | |||
Zakhar Bardakov (R) | 0 | C/LW | 100.00 | 71 | 40 | 80 | 68 | 83 | 76 | 84 | 67 | 66 | 66 | 71 | 71 | 69 | 65 | 63 | 0 | 32 | 78 | 24 | 867,500$/1yrs | |||
Erik Haula | 0 | C/LW/RW | 100.00 | 72 | 34 | 78 | 64 | 73 | 82 | 88 | 63 | 84 | 63 | 67 | 74 | 65 | 83 | 80 | 0 | 38 | 77 | 34 | 3,150,000$/1yrs | |||
Taylor Hall | 0 | LW | 100.00 | 62 | 33 | 84 | 63 | 82 | 81 | 79 | 64 | 61 | 68 | 70 | 57 | 67 | 81 | 80 | 0 | 35 | 77 | 34 | 6,000,000$/4yrs | |||
Jack Roslovic | 0 | C/RW | 100.00 | 58 | 33 | 93 | 67 | 79 | 80 | 87 | 65 | 76 | 67 | 69 | 57 | 67 | 72 | 71 | 0 | 28 | 76 | 28 | 4,000,000$/3yrs | |||
Viktor Arvidsson | 0 | LW/RW | 100.00 | 61 | 32 | 84 | 65 | 70 | 82 | 78 | 64 | 59 | 66 | 71 | 56 | 68 | 79 | 77 | 0 | 35 | 76 | 32 | 4,500,000$/4yrs | |||
Sam Carrick | 0 | C/RW | 100.00 | 79 | 55 | 65 | 55 | 77 | 76 | 89 | 58 | 82 | 60 | 61 | 72 | 59 | 81 | 77 | 0 | 38 | 73 | 33 | 1,300,000$/2yrs | |||
Joe Veleno | 0 | C/RW | 100.00 | 75 | 36 | 90 | 61 | 80 | 77 | 89 | 60 | 78 | 62 | 63 | 64 | 62 | 67 | 66 | 0 | 35 | 73 | 25 | 1,000,000$/1yrs | |||
Cole Guttman | 0 | C | 100.00 | 60 | 41 | 90 | 64 | 63 | 77 | 69 | 61 | 76 | 61 | 64 | 63 | 63 | 68 | 67 | 0 | 35 | 73 | 26 | 850,000$/2yrs | |||
Boris Katchouk | 0 | LW | 100.00 | 73 | 33 | 92 | 61 | 82 | 75 | 74 | 58 | 60 | 58 | 62 | 66 | 60 | 70 | 69 | 0 | 35 | 72 | 27 | 850,000$/1yrs | |||
Nathan Bastian | 0 | RW | 100.00 | 84 | 40 | 81 | 55 | 84 | 73 | 83 | 58 | 60 | 59 | 59 | 63 | 58 | 70 | 69 | 0 | 35 | 71 | 27 | 1,000,000$/1yrs | |||
Jackson LaCombe | 0 | D | 99.00 | 67 | 32 | 87 | 67 | 69 | 92 | 88 | 67 | 30 | 72 | 69 | 80 | 68 | 66 | 65 | 0 | 36 | 82 | 24 | 1,500,000$/9yrs | |||
Adam Pelech | 0 | D | 99.00 | 70 | 36 | 83 | 63 | 84 | 90 | 83 | 64 | 30 | 68 | 52 | 78 | 58 | 77 | 75 | 0 | 35 | 79 | 31 | 5,750,000$/4yrs | |||
John Marino | 0 | D | 100.00 | 60 | 34 | 86 | 63 | 72 | 91 | 82 | 64 | 30 | 69 | 56 | 75 | 60 | 72 | 70 | 0 | 35 | 78 | 28 | 4,400,000$/3yrs | |||
Simon Edvinsson | 0 | D | 100.00 | 69 | 37 | 71 | 65 | 87 | 90 | 89 | 62 | 30 | 69 | 61 | 75 | 61 | 62 | 59 | 0 | 13 | 78 | 22 | 894,167$/4yrs | |||
Trevor van Riemsdyk | 0 | D | 100.00 | 56 | 33 | 88 | 58 | 78 | 86 | 89 | 62 | 30 | 65 | 52 | 74 | 57 | 82 | 81 | 0 | 35 | 76 | 34 | 3,000,000$/1yrs | |||
J.J. Moser | 0 | D | 100.00 | 68 | 34 | 85 | 62 | 70 | 89 | 86 | 61 | 30 | 66 | 57 | 72 | 59 | 66 | 65 | 0 | 35 | 76 | 25 | 3,375,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Craig Smith | 0 | RW | 100.00 | 65 | 35 | 83 | 57 | 79 | 73 | 86 | 58 | 58 | 60 | 64 | 58 | 61 | 85 | 83 | 0 | 20 | 72 | 36 | 1,250,000$/1yrs | |||
Wyatt Kaiser | 0 | D | 100.00 | 66 | 32 | 86 | 55 | 68 | 86 | 79 | 55 | 30 | 59 | 56 | 70 | 55 | 62 | 61 | 0 | 43 | 71 | 23 | 850,000$/2yrs | |||
Torey Krug | 0 | D | 100.00 | 66 | 32 | 85 | 69 | 72 | 93 | 77 | 68 | 30 | 30 | 30 | 30 | 63 | 83 | 81 | 0 | 19 | 61 | 34 | 6,500,000$/2yrs | |||
| TEAM AVERAGE | 99.76 | 68 | 36 | 83 | 63 | 77 | 83 | 82 | 63 | 53 | 63 | 62 | 65 | 63 | 73 | 72 | 0 | 32 | 75 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Elvis Merzlikins | 0 | 98.00 | 80 | 93 | 80 | 76 | 84 | 77 | 86 | 91 | 88 | 90 | 86 | 77 | 82 | 0 | 35 | 88 | 31 | 5,400,000$/2yrs |
Dustin Wolf | 32 | 100.00 | 77 | 85 | 76 | 64 | 85 | 79 | 86 | 90 | 86 | 90 | 86 | 66 | 70 | 0 | 42 | 85 | 24 | 2,300,000$/2yrs |
| Scratches | ||||||||||||||||||||
Matt Murray | 0 | 100.00 | 60 | 60 | 65 | 85 | 68 | 60 | 60 | 60 | 60 | 69 | 60 | 75 | 78 | 0 | 27 | 70 | 31 | 1,000,000$/2yrs |
| TEAM AVERAGE | 99.33 | 72 | 79 | 74 | 75 | 79 | 72 | 77 | 80 | 78 | 83 | 77 | 73 | 77 | 0 | 35 | 81 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Rick Tocchet | 89 | 84 | 83 | 82 | 76 | 79 | 61 | CAN | 61 | 4 | 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 | Jackson LaCombe | 0 | D | 23 | 3 | 14 | 17 | 4 | 14 | 0 | 28 | 47 | 21 | 32 | 6.38% | 43 | 22.64 | 3 | 2 | 5 | 69 | 0 | 0 | 0 | 78 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
| 2 | Viktor Arvidsson | 0 | LW/RW | 23 | 6 | 9 | 15 | 1 | 4 | 0 | 19 | 45 | 11 | 40 | 13.33% | 3 | 16.55 | 1 | 2 | 3 | 58 | 0 | 0 | 0 | 1 | 2 | 1 | 36.00% | 25 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
| 3 | Patrik Laine | 0 | LW/RW | 23 | 4 | 9 | 13 | -3 | 0 | 0 | 1 | 69 | 38 | 62 | 5.80% | 4 | 23.01 | 0 | 3 | 3 | 61 | 0 | 0 | 0 | 102 | 0 | 0 | 40.82% | 49 | 0 | 0 | 0 | 0 | 0.49 | 0 | 1 | |
| 4 | J.J. Moser | 0 | D | 23 | 0 | 13 | 13 | 10 | 8 | 0 | 16 | 8 | 0 | 11 | 0.00% | 26 | 13.67 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
| 5 | Erik Haula | 0 | C/LW/RW | 23 | 7 | 3 | 10 | 2 | 23 | 15 | 29 | 44 | 15 | 40 | 15.91% | 5 | 19.84 | 1 | 2 | 3 | 59 | 1 | 0 | 1 | 54 | 2 | 0 | 53.49% | 587 | 0 | 0 | 1 | 0 | 0.44 | 0 | 1 | |
| 6 | Adam Pelech | 0 | D | 23 | 1 | 8 | 9 | -9 | 18 | 0 | 26 | 31 | 15 | 31 | 3.23% | 36 | 24.89 | 1 | 0 | 1 | 64 | 0 | 1 | 1 | 79 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 7 | Taylor Hall | 0 | LW | 23 | 2 | 7 | 9 | 2 | 6 | 0 | 23 | 47 | 21 | 34 | 4.26% | 3 | 18.93 | 0 | 3 | 3 | 58 | 0 | 0 | 0 | 46 | 0 | 0 | 58.62% | 29 | 0 | 0 | 0 | 0 | 0.41 | 0 | 1 | |
| 8 | Simon Edvinsson | 0 | D | 23 | 0 | 9 | 9 | 2 | 24 | 0 | 38 | 17 | 5 | 3 | 0.00% | 28 | 14.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 9 | Boris Katchouk | 0 | LW | 23 | 4 | 3 | 7 | -1 | 4 | 0 | 6 | 24 | 5 | 20 | 16.67% | 4 | 11.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 1 | 1 | 40.82% | 49 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 10 | Evander Kane | 0 | LW/RW | 23 | 5 | 2 | 7 | -2 | 46 | 10 | 79 | 56 | 20 | 45 | 8.93% | 6 | 21.84 | 1 | 1 | 2 | 61 | 0 | 0 | 0 | 89 | 0 | 0 | 41.53% | 236 | 0 | 0 | 1 | 0 | 0.28 | 0 | 1 | |
| 11 | Jack Roslovic | 0 | C/RW | 15 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 21 | 4 | 22 | 14.29% | 2 | 14.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.87% | 289 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
| 12 | Sam Carrick | 0 | C/RW | 23 | 2 | 5 | 7 | 0 | 22 | 0 | 32 | 31 | 9 | 25 | 6.45% | 0 | 10.18 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 66.67% | 12 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 13 | Joe Veleno | 0 | C/RW | 23 | 4 | 3 | 7 | -1 | 6 | 0 | 13 | 27 | 6 | 26 | 14.81% | 1 | 10.62 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 50.57% | 263 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 14 | John Marino | 0 | D | 23 | 1 | 6 | 7 | -9 | 16 | 0 | 36 | 27 | 10 | 21 | 3.70% | 32 | 21.43 | 1 | 3 | 4 | 56 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 15 | Cole Guttman | 0 | C | 23 | 3 | 4 | 7 | -7 | 6 | 0 | 13 | 29 | 7 | 29 | 10.34% | 3 | 12.43 | 2 | 1 | 3 | 58 | 0 | 0 | 0 | 0 | 1 | 0 | 43.98% | 357 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 16 | Trevor van Riemsdyk | 0 | D | 23 | 2 | 4 | 6 | -10 | 8 | 0 | 32 | 26 | 10 | 27 | 7.69% | 23 | 21.39 | 2 | 3 | 5 | 56 | 0 | 0 | 0 | 70 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 17 | Zakhar Bardakov | 0 | C/LW | 15 | 3 | 0 | 3 | -6 | 0 | 0 | 3 | 19 | 7 | 19 | 15.79% | 1 | 7.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 5 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 18 | Nathan Bastian | 0 | RW | 23 | 0 | 0 | 0 | -7 | 8 | 0 | 24 | 14 | 3 | 9 | 0.00% | 2 | 7.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| 19 | Wyatt Kaiser | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 2 | 15.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 399 | 50 | 103 | 153 | -35 | 213 | 25 | 420 | 583 | 207 | 496 | 8.58% | 224 | 16.48 | 12 | 20 | 32 | 615 | 1 | 1 | 2 | 689 | 9 | 3 | 48.43% | 1914 | 0 | 0 | 2 | 0 | 0.47 | 0 | 4 |
| 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 | Elvis Merzlikins | 15 | 4 | 11 | 0 | 0.907 | 3.28 | 859 | 0 | 1 | 47 | 507 | 0 | 0 | 0 | 0.000 | 0 | 15 | 8 | 2 | 0 | 1 | |
| 2 | Dustin Wolf | 8 | 4 | 3 | 1 | 0.929 | 2.73 | 484 | 0 | 0 | 22 | 310 | 0 | 0 | 0 | 0.750 | 4 | 8 | 12 | 2 | 0 | 1 | |
| 3 | Matt Murray | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 38 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 0.000 | 0 | 0 | 3 | 0 | 0 | 0 | |
| Team Total or Average | 24 | 8 | 14 | 1 | 0.918 | 3.00 | 1382 | 0 | 1 | 69 | 842 | 0 | 0 | 0 | 0.750 | 4 | 23 | 23 | 4 | 0 | 2 |
| Projected Total Cap Hit | 74,201,835$ |
| Projected Cap Space | 21,298,165$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 19,867,908$ |
| Players In Salary Cap | 25 |
| LTIR Players | 0 |
| Blackhawks Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 31 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |||
Boris Katchouk | LW | 27 | 850,000$ | 850,000$ | |||||||
Cole Guttman | C | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
Craig Smith | RW | 36 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Dustin Wolf ![]() | G | 24 | 2,300,000$ | 2,300,000$ | 2,300,000$ | ||||||
| Elvis Merzlikins | G | 31 | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | |||||
Erik Haula ![]() | C/LW/RW | 34 | 3,150,000$ | 3,150,000$ | UFA | ||||||
Evander Kane ![]() | LW/RW | 34 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||
J.J. Moser ![]() | D | 25 | 3,375,000$ | 3,375,000$ | |||||||
Jack Roslovic ![]() | C/RW | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Jackson LaCombe ![]() | D | 24 | 1,500,000$ | 1,500,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ |
Joe Veleno | C/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
John Marino ![]() | D | 28 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | ||||
Matt Murray | G | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Nathan Bastian | RW | 27 | 1,000,000$ | 1,000,000$ | |||||||
Patrik Laine ![]() | LW/RW | 27 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Sam Carrick ![]() | C/RW | 33 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Simon Edvinsson | D | 22 | 894,167$ | 894,167$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||
Taylor Hall ![]() | LW | 34 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Torey Krug ![]() | D | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Trevor van Riemsdyk ![]() | D | 34 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Viktor Arvidsson ![]() | LW/RW | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Wyatt Kaiser | D | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Zakhar Bardakov | C/LW | 24 | 867,500$ | 867,500$ | RFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Angus MacDonnell | C | 20 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Anson Thornton | G | 22 | 795,556$ | 795,556$ | RFA | ||||||
| Cal Petersen | G | 31 | 850,000$ | 850,000$ | UFA | ||||||
Casey Fitzgerald | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cole O'Hara | RW | 23 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Cole Reinhardt | LW | 25 | 800,000$ | 800,000$ | |||||||
Connor Corcoran | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Connor Kurth | C/LW/RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Declan Chisholm ![]() | D | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Dino Kambeitz | RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Filip Roos | D | 26 | 900,000$ | 900,000$ | |||||||
Isaak Phillips | D | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Jacob Fowler | G | 21 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
Jake Livingstone | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Jakub Galvas | D | 26 | 875,000$ | 875,000$ | |||||||
Jalen Luypen | C | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Jaxson Stauber | G | 26 | 975,000$ | 975,000$ | 975,000$ | ||||||
Jesse Puljujarvi | RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Johan Sodergran | RW | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
Josh Jacobs | D | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Luke Toporowski | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
MacKenzie Entwistle | C | 26 | 850,000$ | 850,000$ | |||||||
Matt Luff ![]() | RW | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Matthew Seminoff | RW | 21 | 850,000$ | 850,000$ | RFA | ||||||
Milton Gastrin ![]() | C/LW | 18 | 975,000$ | 9,775,000$ | 975,000$ | 975,000$ | |||||
Patrick Guay | C/LW | 23 | 800,000$ | 800,000$ | RFA | ||||||
Riley Stillman | D | 27 | 800,000$ | 800,000$ | |||||||
Ronan Seeley | D | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Samuel Savoie | LW | 21 | 878,333$ | 878,333$ | RFA | ||||||
Seth Griffith ![]() | C | 32 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Shawn Element | C | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Tanner Dickinson | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Taylor Ward | RW | 27 | 775,000$ | 775,000$ | |||||||
Trevor Connelly | LW | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 1 | 4 | 0 | 53 | 26 | 13 | 14 | 0 | 65 | 22 | 13 | 38 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 45 | 31 | 49 | 14 | 25 | 12 | 54.5% | 11.3% | 90.8% | 102.1 | FUN | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 9 | 6 | 7 | 0 | 31 | 9 | 6 | 27 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 25 | 17 | 20 | 7 | 14 | 7 | 25.0% | 4.5% | 87.1% | 91.6 | Unlucky | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 10 | 11 | 7 | 0 | 41 | 14 | 8 | 19 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 23 | 15 | 24 | 6 | 12 | 5 | 66.7% | 10.7% | 97.6% | 108.3 | LUCKY | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 24 | 5 | 11 | 8 | 0 | 29 | 5 | 9 | 20 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 23 | 15 | 24 | 8 | 12 | 6 | 50.0% | 16.7% | 93.1% | 109.8 | LUCKY | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 4 | 3 | 9 | 0 | 38 | 14 | 17 | 26 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 20 | 13 | 26 | 7 | 13 | 6 | 16.7% | 6.3% | 86.8% | 93.1 | Unlucky | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 20 | 8 | 8 | 4 | 0 | 41 | 15 | 15 | 26 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 19 | 12 | 29 | 7 | 11 | 5 | 50.0% | 10.0% | 92.7% | 102.7 | LUCKY | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 10 | 7 | 9 | 0 | 44 | 9 | 12 | 15 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 22 | 13 | 25 | 7 | 12 | 5 | 0.0% | 3.8% | 93.2% | 97.0 | DULL | |
| 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 3 | 0 | 64 | 22 | 21 | 21 | 0 | 66 | 29 | 18 | 41 | 5 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 44 | 29 | 51 | 13 | 24 | 12 | 83.3% | 7.8% | 93.9% | 101.8 | DULL | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 26 | 9 | 13 | 4 | 0 | 26 | 6 | 23 | 21 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 1 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 25 | 17 | 21 | 7 | 13 | 6 | 75.0% | 11.5% | 92.3% | 103.8 | LUCKY | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 22 | 9 | 6 | 7 | 0 | 25 | 5 | 6 | 17 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 22 | 16 | 24 | 8 | 12 | 5 | 100.0% | 4.5% | 100.0% | 104.5 | DULL | |
| 11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 32 | 10 | 9 | 9 | 8 | 42 | 5 | 12 | 20 | 7 | 2 | 28.57% | 6 | 2 | 66.67% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 27 | 19 | 25 | 7 | 12 | 6 | 40.0% | 12.5% | 88.1% | 100.6 | FUN | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 3 | 0 | 26 | 5 | 8 | 13 | 0 | 37 | 12 | 6 | 23 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 18 | 11 | 28 | 7 | 12 | 5 | 57.1% | 15.4% | 91.9% | 107.3 | LUCKY | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 7 | 4 | 10 | 0 | 43 | 6 | 10 | 24 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 20 | 13 | 27 | 7 | 12 | 5 | 25.0% | 4.8% | 88.4% | 93.1 | Unlucky | |
| 14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 32 | 12 | 15 | 5 | 0 | 43 | 9 | 8 | 22 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 21 | 14 | 25 | 7 | 13 | 6 | 20.0% | 3.1% | 86.0% | 89.2 | Unlucky | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 22 | 5 | 10 | 7 | 0 | 48 | 14 | 19 | 20 | 4 | 1 | 25.00% | 7 | 0 | 100.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 20 | 13 | 27 | 7 | 12 | 5 | 66.7% | 22.7% | 95.8% | 118.6 | LUCKY | |
| 16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 6 | 7 | 15 | 0 | 41 | 7 | 14 | 30 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 24 | 15 | 23 | 7 | 12 | 6 | 25.0% | 7.1% | 92.7% | 99.8 | DULL | |
| 17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 29 | 7 | 16 | 6 | 0 | 48 | 9 | 8 | 17 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 23 | 17 | 25 | 7 | 11 | 5 | 50.0% | 6.9% | 93.8% | 100.6 | DULL | |
| 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 10 | 5 | 7 | 0 | 33 | 2 | 10 | 16 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 21 | 14 | 25 | 7 | 12 | 6 | 0.0% | 4.5% | 93.9% | 98.5 | DULL | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 16 | 7 | 3 | 6 | 0 | 33 | 11 | 19 | 23 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 19 | 12 | 28 | 7 | 12 | 5 | 25.0% | 6.3% | 87.9% | 94.1 | Unlucky | |
| 20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 56 | 16 | 19 | 21 | 0 | 68 | 20 | 20 | 31 | 7 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 49 | 35 | 47 | 13 | 22 | 11 | 40.0% | 7.1% | 89.7% | 96.8 | Unlucky | |
| _Vs Division | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 16 | -4 | 4 | 0.400 | 12 | 21 | 33 | 0 | 0 | 3 | 3 | 6 | 0 | 126 | 34 | 46 | 46 | 0 | 201 | 41 | 45 | 99 | 17 | 3 | 17.65% | 19 | 4 | 78.95% | 0 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 108 | 71 | 131 | 37 | 60 | 28 | 42.9% | 9.5% | 92.0% | 101.6 | LUCKY | |
| _Vs Conference | 14 | 5 | 8 | 0 | 0 | 0 | 0 | 1 | 35 | 42 | -7 | 11 | 0.393 | 35 | 63 | 98 | 0 | 0 | 7 | 11 | 17 | 0 | 379 | 127 | 126 | 122 | 8 | 501 | 125 | 141 | 266 | 47 | 6 | 12.77% | 53 | 13 | 75.47% | 1 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 321 | 218 | 352 | 102 | 171 | 85 | 50.0% | 9.2% | 91.6% | 100.9 | LUCKY | |
| _Since Last GM Reset | 23 | 8 | 14 | 0 | 0 | 0 | 0 | 1 | 52 | 70 | -18 | 17 | 0.370 | 52 | 97 | 149 | 0 | 1 | 13 | 15 | 24 | 0 | 585 | 197 | 195 | 189 | 8 | 842 | 223 | 253 | 476 | 74 | 10 | 13.51% | 98 | 19 | 80.61% | 1 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 517 | 350 | 581 | 169 | 285 | 140 | 45.2% | 8.9% | 91.7% | 100.6 | Unlucky | |
| Total | 23 | 8 | 14 | 0 | 0 | 0 | 0 | 1 | 52 | 70 | -18 | 17 | 0.370 | 52 | 97 | 149 | 0 | 1 | 13 | 15 | 24 | 0 | 585 | 197 | 195 | 189 | 8 | 842 | 223 | 253 | 476 | 74 | 10 | 13.51% | 98 | 19 | 80.61% | 1 | 363 | 742 | 48.92% | 430 | 917 | 46.89% | 168 | 338 | 49.70% | 517 | 350 | 581 | 169 | 285 | 140 | 45.2% | 8.9% | 91.7% | 100.6 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 25 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 742 |
| Neutral Zone Start | 338 |
| Defensive Zone Start | 917 |
| Puck Time | |
|---|---|
| With Puck | 28 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 961 |
| Faceoffs Lost | 1036 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.6 | 9.57 |
| 2nd Period | 17.0 | 20.31 |
| 3rd Period | 25.3 | 30.68 |
| Overtime | 25.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.2 | 1.65 |
| 3rd Period | 2.3 | 2.67 |
| Overtime | 2.3 | 2.83 |
| Even Strenght Goal | 41 |
|---|---|
| PP Goal | 10 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 5 | 3 |
| Lost | 7 | 7 |
| Overtime Lost | 0 | 1 |
| PP Attempt | 74 |
|---|---|
| PP Goal | 10 |
| PK Attempt | 98 |
| PK Goal Against | 19 |
| Home | |
|---|---|
| Shots For | 25.4 |
| Shots Against | 36.6 |
| Goals For | 2.3 |
| Goals Against | 3.0 |
| Hits | 20.7 |
| Shots Blocked | 9.7 |
| Pim | 11.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-08 | @ | Blackhawks2,Panthers3 | RECAP | |||||||||||
| 2025-10-10 | @ | Blackhawks1,Bruins6 | RECAP | |||||||||||
| 2025-10-12 | @ | Canadiens3,Blackhawks2 | RECAP | |||||||||||
| 2025-10-14 | @ | Mammoth5,Blackhawks1 | RECAP | |||||||||||
| 2025-10-16 | @ | Blackhawks4,Blues3 | RECAP | |||||||||||
| 2025-10-18 | @ | Canucks1,Blackhawks3 | RECAP | |||||||||||
| 2025-10-20 | @ | Ducks2,Blackhawks1 | RECAP | |||||||||||
| 2025-10-24 | @ | Blackhawks1,Lightning0 | RECAP | |||||||||||
| 2025-10-27 | @ | Kings2,Blackhawks3 | RECAP | |||||||||||
| 2025-10-29 | @ | Senators1,Blackhawks3 | RECAP | |||||||||||
| 2025-10-31 | @ | Blackhawks2,Jets3 | RECAP | |||||||||||
| 2025-11-02 | @ | Blackhawks4,Oilers5 (SO) | RECAP | |||||||||||
| 2025-11-04 | @ | Blackhawks1,Kraken3 | RECAP | |||||||||||
| 2025-11-06 | @ | Blackhawks2,Canucks3 | RECAP | |||||||||||
| 2025-11-08 | @ | Blackhawks2,Flames4 | RECAP | |||||||||||
| 2025-11-10 | @ | Blackhawks1,Red Wings5 | RECAP | |||||||||||
| 2025-11-13 | @ | Devils4,Blackhawks1 | RECAP | |||||||||||
| 2025-11-16 | @ | Maple Leafs4,Blackhawks1 | RECAP | |||||||||||
| 2025-11-19 | @ | Flames2,Blackhawks4 | RECAP | |||||||||||
| 2025-11-21 | @ | Kraken4,Blackhawks3 | RECAP | |||||||||||
| 2025-11-22 | @ | Blackhawks5,Sabres2 | RECAP | |||||||||||
| 2025-11-24 | @ | Avalanche2,Blackhawks4 | RECAP | |||||||||||
| 2025-11-27 | @ | Wild3,Blackhawks1 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 74,836,667$ | 0$ | 74,201,835$ | 20,663,333$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | United Center | |
| City | Chicago | ||
| 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 | 65996 | 56751 | 23037 | 45308 | 11177 |
| Attendance PCT | 91.66% | 94.59% | 95.99% | 94.39% | 93.14% |
| Income | |||||
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 29 | 16856 - 93.64% | 1,536,064$ | 18,432,771$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 74,836,667$ | 74,836,667$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 20,359,312$ | 385,347$ | 19,867,908$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 44,545,863$ | 141 | 394,983$ | 55,692,603$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 57,714,033$ | 74,836,667$ | 81,396,057$ | 68,227,887$ |
Rookie
Injured
Cold Streak
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| 2026 | ||||||||
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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) |
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| 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. |
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| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Aidan Thompson | 2022 | 105 | |||
| Alexis Bernier | 2024 | 88 | |||
| Bard Gardiner | 2023 | 99 | |||
| Benjamin Kevan | 2025 | 47 | |||
| Bruno Idzan | 2025 | 205 | |||
| Carter Amico | 2025 | 51 | |||
| Cedric Guindon | 2022 | 107 | |||
| Charlie Leddy | 2022 | 146 | |||
| Cole Reschny | 2025 | 17 | |||
| Cole Spicer | 2022 | 120 | |||
| Hampton Slukynsky | 2023 | 94 | |||
| Jake Ryczek | |||||
| Juha Jatkola | 2023 | 95 | |||
| Maceo Phillips | 2025 | 113 | |||
| Mats Lindgren | 2022 | 41 | |||
| Matthew Perkins | 2023 | 137 | |||
| Nathaniel Day | 2023 | 190 | |||
| Nikita Ishimnikov | 2023 | 172 | |||
| Owen Martin | 2025 | 89 | |||
| Riku Tohila | 2022 | 216 | |||
| Stepan Hoch | 2025 | 109 | |||
| Theodor Hallquisth | 2025 | 75 | |||
| Tommy Lafreniere | 2025 | 115 | |||
| Zach Nehring | 2023 | 103 |
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