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Full Scoreboard »» |
Chicago Blackhawks 28-34-7, 63pts · 12th 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 | 97.00 | 75 | 33 | 93 | 75 | 81 | 84 | 89 | 72 | 60 | 68 | 78 | 67 | 75 | 68 | 67 | 0 | 57 | 82 | 26 | 5,000,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 32 | 86 | 70 | 70 | 84 | 80 | 75 | 60 | 74 | 77 | 50 | 76 | 78 | 76 | 0 | 33 | 82 | 31 | 4,500,000$/5yrs | |||
![]() | 0 | C/LW/RW | 98.00 | 70 | 34 | 78 | 66 | 73 | 83 | 89 | 66 | 85 | 68 | 67 | 75 | 67 | 82 | 79 | 0 | 33 | 79 | 34 | 3,150,000$/2yrs | |||
![]() | 0 | C/RW | 99.00 | 61 | 33 | 93 | 70 | 79 | 82 | 86 | 67 | 77 | 73 | 64 | 70 | 65 | 71 | 71 | 0 | 60 | 78 | 28 | 4,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 34 | 91 | 70 | 74 | 86 | 88 | 68 | 74 | 71 | 67 | 67 | 68 | 67 | 66 | 0 | 33 | 78 | 25 | 2,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 37 | 92 | 65 | 63 | 77 | 71 | 61 | 79 | 61 | 68 | 64 | 64 | 67 | 66 | 0 | 23 | 74 | 26 | 950,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 64 | 32 | 91 | 55 | 70 | 73 | 88 | 59 | 79 | 58 | 62 | 71 | 60 | 89 | 88 | 0 | 56 | 73 | 38 | 1,450,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 73 | 35 | 88 | 62 | 82 | 75 | 83 | 59 | 59 | 61 | 61 | 66 | 60 | 68 | 67 | 0 | 60 | 73 | 26 | 850,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 82 | 46 | 78 | 56 | 84 | 74 | 80 | 62 | 59 | 62 | 62 | 64 | 62 | 69 | 67 | 0 | 28 | 73 | 27 | 1,350,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 74 | 35 | 88 | 61 | 80 | 78 | 90 | 62 | 78 | 62 | 63 | 64 | 62 | 66 | 64 | 0 | 40 | 73 | 25 | 1,400,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 64 | 35 | 87 | 55 | 79 | 73 | 87 | 59 | 57 | 59 | 64 | 56 | 61 | 84 | 82 | 0 | 21 | 72 | 35 | 1,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 78 | 38 | 84 | 57 | 76 | 75 | 86 | 56 | 74 | 57 | 58 | 63 | 57 | 66 | 65 | 0 | 56 | 70 | 25 | 850,000$/2yrs | |||
![]() | 0 | D | 99.00 | 70 | 36 | 82 | 60 | 84 | 90 | 83 | 65 | 30 | 66 | 58 | 81 | 61 | 76 | 74 | 0 | 49 | 79 | 30 | 5,750,000$/5yrs | |||
![]() | 0 | D | 100.00 | 84 | 51 | 58 | 59 | 87 | 85 | 81 | 64 | 30 | 66 | 61 | 81 | 63 | 81 | 76 | 0 | 29 | 79 | 33 | 4,800,000$/3yrs | |||
![]() | 0 | D | 99.00 | 69 | 33 | 93 | 55 | 80 | 89 | 89 | 62 | 30 | 65 | 56 | 77 | 59 | 82 | 82 | 0 | 23 | 77 | 34 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 68 | 33 | 81 | 55 | 82 | 86 | 84 | 62 | 30 | 61 | 58 | 77 | 60 | 82 | 81 | 0 | 23 | 76 | 34 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 38 | 81 | 60 | 79 | 83 | 73 | 58 | 30 | 64 | 54 | 68 | 56 | 63 | 61 | 0 | 47 | 74 | 23 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 36 | 89 | 55 | 73 | 80 | 76 | 56 | 30 | 61 | 54 | 62 | 55 | 79 | 78 | 0 | 19 | 72 | 32 | 800,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 98.61 | 64 | 39 | 83 | 55 | 78 | 65 | 76 | 52 | 30 | 61 | 50 | 63 | 56 | 59 | 58 | 0 | 19 | 69 | 23 | 894,167$/1yrs | |||
TEAM AVERAGE | 99.51 | 69 | 36 | 85 | 61 | 78 | 80 | 83 | 62 | 55 | 64 | 62 | 68 | 62 | 74 | 72 | 0 | 37 | 75 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 32 | 100.00 | 84 | 94 | 80 | 64 | 91 | 83 | 92 | 93 | 92 | 93 | 92 | 66 | 70 | 0 | 44 | 89 | 23 | 950,000$/1yrs |
![]() | 0 | 99.00 | 78 | 77 | 73 | 96 | 80 | 74 | 79 | 82 | 79 | 82 | 79 | 83 | 87 | 0 | 35 | 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 | 99.67 | 76 | 79 | 72 | 78 | 78 | 76 | 79 | 80 | 81 | 83 | 79 | 69 | 72 | 0 | 32 | 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 |
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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 | Erik Haula | 0 | C/LW/RW | 69 | 13 | 34 | 47 | -6 | 32 | 0 | 119 | 219 | 70 | 129 | 5.94% | 21 | 19.31 | 2 | 10 | 12 | 214 | 0 | 0 | 0 | 120 | 1 | 1 | 53.34% | 1198 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
2 | Owen Tippett | 0 | LW/RW | 69 | 18 | 28 | 46 | 1 | 30 | 0 | 128 | 257 | 76 | 191 | 7.00% | 10 | 18.39 | 7 | 10 | 17 | 227 | 0 | 0 | 0 | 48 | 3 | 3 | 47.57% | 103 | 0 | 0 | 0 | 0 | 0.72 | 0 | 1 | |
3 | Viktor Arvidsson | 0 | LW/RW | 69 | 19 | 21 | 40 | -10 | 12 | 0 | 35 | 216 | 62 | 120 | 8.80% | 2 | 16.97 | 3 | 8 | 11 | 215 | 0 | 0 | 0 | 1 | 5 | 0 | 44.44% | 81 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
4 | Josh Manson | 0 | D | 60 | 9 | 27 | 36 | 7 | 100 | 10 | 189 | 81 | 43 | 63 | 11.11% | 92 | 19.51 | 0 | 6 | 6 | 155 | 1 | 0 | 1 | 125 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.62 | 0 | 0 | |
5 | Nick Jensen | 0 | D | 69 | 11 | 15 | 26 | -15 | 20 | 0 | 65 | 74 | 24 | 51 | 14.86% | 91 | 20.04 | 6 | 2 | 8 | 185 | 0 | 0 | 0 | 171 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
6 | Adam Pelech | 0 | D | 63 | 6 | 19 | 25 | -24 | 66 | 0 | 93 | 97 | 40 | 68 | 6.19% | 83 | 23.42 | 4 | 6 | 10 | 213 | 0 | 0 | 0 | 196 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
7 | Jack Roslovic | 0 | C/RW | 70 | 5 | 19 | 24 | -10 | 13 | 5 | 32 | 143 | 38 | 102 | 3.50% | 10 | 11.76 | 0 | 2 | 2 | 43 | 0 | 0 | 0 | 23 | 0 | 0 | 50.11% | 473 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
8 | Philipp Kurashev | 0 | C/LW/RW | 69 | 12 | 11 | 23 | -12 | 2 | 0 | 7 | 111 | 36 | 77 | 10.81% | 11 | 9.83 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 3 | 1 | 47.73% | 44 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
9 | Nathan Bastian | 0 | RW | 66 | 5 | 10 | 15 | -14 | 30 | 0 | 125 | 71 | 19 | 42 | 7.04% | 3 | 10.92 | 1 | 3 | 4 | 131 | 0 | 0 | 0 | 0 | 1 | 0 | 35.71% | 56 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
10 | Boris Katchouk | 0 | LW | 44 | 3 | 11 | 14 | -4 | 23 | 5 | 57 | 68 | 28 | 45 | 4.41% | 8 | 14.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 2 | 0 | 58.33% | 48 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
11 | Jan Rutta | 0 | D | 54 | 2 | 12 | 14 | -8 | 46 | 0 | 62 | 40 | 15 | 40 | 5.00% | 51 | 16.17 | 0 | 0 | 0 | 30 | 0 | 0 | 0 | 65 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
12 | Jordan Oesterle | 0 | D | 44 | 3 | 9 | 12 | 0 | 26 | 0 | 40 | 21 | 18 | 15 | 14.29% | 51 | 20.22 | 1 | 1 | 2 | 82 | 0 | 0 | 0 | 118 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
13 | Derek Ryan | 0 | C/LW/RW | 69 | 3 | 4 | 7 | -11 | 10 | 0 | 21 | 62 | 16 | 37 | 4.84% | 9 | 9.73 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 210 | 0 | 0 | 56.57% | 327 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
14 | Joe Veleno | 0 | C/RW | 69 | 5 | 2 | 7 | -6 | 18 | 0 | 43 | 58 | 15 | 46 | 8.62% | 2 | 7.77 | 1 | 0 | 1 | 41 | 0 | 0 | 0 | 7 | 1 | 1 | 51.64% | 457 | 0 | 0 | 0 | 0 | 0.26 | 0 | 1 | |
15 | Isaak Phillips | 0 | D | 8 | 0 | 5 | 5 | 5 | 6 | 0 | 19 | 5 | 2 | 1 | 0.00% | 13 | 16.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |
16 | 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 | |
17 | Craig Smith | 0 | RW | 29 | 0 | 3 | 3 | 2 | 4 | 0 | 4 | 10 | 3 | 7 | 0.00% | 2 | 9.89 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 40.53% | 264 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
18 | Cole Guttman | 0 | C | 11 | 0 | 3 | 3 | 0 | 2 | 0 | 4 | 9 | 3 | 11 | 0.00% | 1 | 13.77 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 11 | 0 | 0 | 53.85% | 182 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
19 | MacKenzie Entwistle | 0 | C | 7 | 0 | 0 | 0 | 2 | 4 | 0 | 4 | 4 | 0 | 1 | 0.00% | 2 | 7.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 954 | 114 | 237 | 351 | -104 | 458 | 20 | 1065 | 1553 | 510 | 1051 | 7.34% | 481 | 15.27 | 25 | 49 | 74 | 1597 | 1 | 0 | 1 | 1168 | 21 | 7 | 51.19% | 3235 | 0 | 0 | 1 | 0 | 0.48 | 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 | 33 | 16 | 9 | 4 | 0.906 | 2.69 | 1762 | 4 | 1 | 79 | 841 | 0 | 0 | 1 | 0.625 | 8 | 29 | 36 | 2 | 0 | 1 | |
2 | Frederik Andersen | 41 | 12 | 23 | 3 | 0.904 | 3.21 | 2302 | 4 | 0 | 123 | 1277 | 0 | 2 | 1 | 0.000 | 0 | 38 | 28 | 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 | 76 | 28 | 34 | 7 | 0.904 | 3.05 | 4158 | 8 | 1 | 211 | 2190 | 0 | 2 | 2 | 0.625 | 8 | 69 | 66 | 3 | 0 | 3 |
Projected Total Cap Hit | 71,022,774$ |
Projected Cap Space | 16,977,226$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 63,388,518$ |
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 | 23 | 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 | 31 | 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 |
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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 |
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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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 69 | 48 | 72 | 22 | 38 | 18 | 27.3% | 5.4% | 90.7% | 96.1 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 43 | 8 | 20 | 15 | 0 | 42 | 10 | 10 | 17 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 26 | 20 | 21 | 6 | 11 | 5 | 50.0% | 4.7% | 90.5% | 95.1 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 39 | 12 | 14 | 13 | 0 | 27 | 10 | 8 | 28 | 2 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 25 | 17 | 22 | 7 | 12 | 6 | 50.0% | 5.1% | 81.5% | 86.6 | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 43 | 29 | 51 | 13 | 24 | 12 | 33.3% | 5.2% | 91.3% | 96.5 | DULL | |
7 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 5 | 4 | 5 | 0.833 | 9 | 17 | 26 | 0 | 0 | 3 | 2 | 4 | 0 | 82 | 31 | 23 | 28 | 0 | 77 | 19 | 22 | 67 | 10 | 2 | 20.00% | 10 | 0 | 100.00% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 75 | 53 | 69 | 22 | 36 | 18 | 58.3% | 11.0% | 93.5% | 104.5 | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 43 | 28 | 49 | 14 | 26 | 13 | 62.5% | 11.6% | 92.8% | 104.3 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 33 | 10 | 11 | 12 | 0 | 26 | 12 | 10 | 20 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 22 | 14 | 24 | 7 | 13 | 6 | 80.0% | 12.1% | 92.3% | 104.4 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 11 | 10 | 5 | 0 | 43 | 6 | 16 | 16 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 20 | 13 | 28 | 8 | 11 | 5 | 25.0% | 3.8% | 90.7% | 94.5 | Unlucky | |
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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 72 | 48 | 73 | 22 | 39 | 19 | 33.3% | 7.1% | 92.3% | 99.4 | DULL | |
18 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 59 | 9 | 23 | 27 | 0 | 61 | 18 | 20 | 47 | 4 | 1 | 25.00% | 10 | 0 | 100.00% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 44 | 30 | 50 | 16 | 26 | 12 | 33.3% | 6.8% | 90.2% | 96.9 | Unlucky | |
19 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 1 | 4 | 2 | 0 | 111 | 50 | 35 | 26 | 0 | 103 | 40 | 28 | 75 | 15 | 4 | 26.67% | 14 | 2 | 85.71% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 69 | 48 | 74 | 22 | 36 | 16 | 25.0% | 6.3% | 89.3% | 95.6 | Unlucky | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 12 | 15 | 4 | 0 | 29 | 10 | 6 | 19 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 24 | 16 | 22 | 6 | 12 | 6 | 20.0% | 3.2% | 86.2% | 89.4 | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 45 | 32 | 51 | 14 | 23 | 11 | 28.6% | 10.0% | 87.7% | 97.7 | FUN | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 5 | 2 | 2 | 0 | 79 | 31 | 18 | 30 | 0 | 43 | 11 | 20 | 58 | 7 | 3 | 42.86% | 9 | 2 | 77.78% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 53 | 36 | 40 | 13 | 25 | 13 | 66.7% | 11.4% | 88.4% | 99.8 | FUN | |
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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 44 | 30 | 49 | 14 | 26 | 12 | 40.0% | 5.7% | 87.9% | 93.6 | Unlucky | |
28 | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 63 | 41 | 83 | 24 | 38 | 17 | 43.8% | 11.1% | 86.9% | 98.0 | FUN | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 77 | 27 | 21 | 29 | 0 | 56 | 9 | 15 | 47 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 48 | 31 | 45 | 15 | 26 | 12 | 53.8% | 9.1% | 89.3% | 98.4 | FUN | |
30 | 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 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 70 | 49 | 72 | 22 | 37 | 18 | 27.3% | 6.2% | 87.7% | 93.8 | Unlucky | |
_Vs Division | 22 | 10 | 8 | 0 | 0 | 3 | 0 | 1 | 65 | 65 | 0 | 24 | 0.545 | 65 | 124 | 189 | 2 | 0 | 18 | 21 | 26 | 0 | 752 | 223 | 238 | 287 | 7 | 671 | 205 | 216 | 488 | 92 | 20 | 21.74% | 98 | 12 | 87.76% | 0 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 534 | 368 | 521 | 166 | 276 | 136 | 45.9% | 8.6% | 90.3% | 99.0 | Unlucky | |
_Vs Conference | 45 | 17 | 20 | 0 | 1 | 4 | 0 | 3 | 128 | 141 | -13 | 43 | 0.478 | 128 | 237 | 365 | 2 | 0 | 48 | 36 | 43 | 1 | 1509 | 472 | 469 | 552 | 25 | 1418 | 435 | 413 | 972 | 193 | 33 | 17.10% | 184 | 27 | 85.33% | 2 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 1072 | 735 | 1080 | 340 | 570 | 280 | 45.5% | 8.5% | 90.1% | 98.5 | Unlucky | |
_Since Last GM Reset | 69 | 27 | 34 | 0 | 1 | 4 | 0 | 3 | 189 | 216 | -27 | 63 | 0.457 | 189 | 351 | 540 | 2 | 1 | 74 | 56 | 58 | 1 | 2338 | 769 | 726 | 827 | 25 | 2192 | 674 | 608 | 1491 | 278 | 47 | 16.91% | 271 | 44 | 83.76% | 3 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 1640 | 1128 | 1646 | 518 | 875 | 430 | 45.2% | 8.1% | 90.1% | 98.2 | Unlucky | |
Total | 69 | 27 | 34 | 0 | 1 | 4 | 0 | 3 | 189 | 216 | -27 | 63 | 0.457 | 189 | 351 | 540 | 2 | 1 | 74 | 56 | 58 | 1 | 2338 | 769 | 726 | 827 | 25 | 2192 | 674 | 608 | 1491 | 278 | 47 | 16.91% | 271 | 44 | 83.76% | 3 | 1330 | 2608 | 51.00% | 1254 | 2451 | 51.16% | 515 | 1060 | 48.58% | 1640 | 1128 | 1646 | 518 | 875 | 430 | 45.2% | 8.1% | 90.1% | 98.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2608 |
Neutral Zone Start | 1060 |
Defensive Zone Start | 2451 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3099 |
Faceoffs Lost | 3020 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 33.7 | 30.68 |
Overtime | 34.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 137 |
---|---|
PP Goal | 47 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 17 | 11 |
Lost | 13 | 21 |
Overtime Lost | 4 | 3 |
PP Attempt | 278 |
---|---|
PP Goal | 47 |
PK Attempt | 271 |
PK Goal Against | 44 |
Home | |
---|---|
Shots For | 33.9 |
Shots Against | 31.8 |
Goals For | 2.7 |
Goals Against | 3.1 |
Hits | 21.6 |
Shots Blocked | 9.8 |
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 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-28 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-04 | @ | |||||||||||||
2025-04-06 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-10 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-14 | @ | |||||||||||||
2025-04-16 | @ | |||||||||||||
2025-04-17 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
53,439,723$ | 0$ | 71,022,774$ | 34,560,277$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 189416 | 158409 | 63170 | 124802 | 31107 |
Attendance PCT | 92.85% | 93.18% | 92.90% | 91.77% | 91.49% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 16674 - 92.63% | 1,529,356$ | 51,998,101$ | 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 |
---|---|---|---|
64,245,658$ | 272,652$ | 63,388,518$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,705,491$ | 28 | 277,754$ | 7,777,112$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
7,995,890$ | 53,439,723$ | 81,391,125$ | 84,100,726$ |
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 | ||||||||
2026 | ||||||||
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2028 | ||||||||
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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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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 |
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