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Chicago Blackhawks 0-3-0, 0pts · 16th 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 | 100.00 | 91 | 43 | 63 | 68 | 83 | 84 | 77 | 69 | 61 | 66 | 75 | 59 | 72 | 82 | 78 | 0 | 36 | 80 | 34 | 7,500,000$/5yrs | |||
![]() | 0 | LW/RW | 99.00 | 60 | 33 | 90 | 71 | 85 | 80 | 76 | 68 | 60 | 65 | 79 | 59 | 73 | 70 | 69 | 0 | 36 | 79 | 27 | 8,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 72 | 34 | 78 | 64 | 73 | 82 | 88 | 63 | 84 | 63 | 67 | 74 | 65 | 83 | 80 | 0 | 36 | 77 | 34 | 3,150,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 62 | 33 | 84 | 63 | 82 | 81 | 79 | 64 | 61 | 68 | 70 | 57 | 67 | 81 | 80 | 0 | 36 | 77 | 33 | 6,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 32 | 84 | 65 | 70 | 82 | 78 | 64 | 59 | 66 | 71 | 56 | 68 | 79 | 77 | 0 | 36 | 76 | 32 | 4,500,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 79 | 55 | 65 | 55 | 77 | 76 | 89 | 58 | 82 | 60 | 61 | 72 | 59 | 81 | 77 | 0 | 39 | 73 | 33 | 1,300,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 36 | 90 | 61 | 80 | 77 | 89 | 60 | 78 | 62 | 63 | 64 | 62 | 67 | 66 | 0 | 36 | 73 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 41 | 90 | 64 | 63 | 77 | 69 | 61 | 76 | 61 | 64 | 63 | 63 | 68 | 67 | 0 | 36 | 73 | 26 | 850,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 73 | 33 | 92 | 61 | 82 | 75 | 74 | 58 | 60 | 58 | 62 | 66 | 60 | 70 | 69 | 0 | 36 | 72 | 27 | 850,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 84 | 40 | 81 | 55 | 84 | 73 | 83 | 58 | 60 | 59 | 59 | 63 | 58 | 70 | 69 | 0 | 36 | 71 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 66 | 38 | 80 | 63 | 67 | 68 | 71 | 62 | 42 | 59 | 65 | 61 | 62 | 58 | 56 | 0 | 39 | 71 | 20 | 975,000$/1yrs | |||
![]() | 0 | C | 100.00 | 83 | 41 | 60 | 61 | 73 | 65 | 86 | 56 | 59 | 58 | 59 | 60 | 58 | 54 | 50 | 0 | 39 | 69 | 18 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 70 | 36 | 83 | 63 | 84 | 90 | 83 | 64 | 30 | 68 | 52 | 78 | 58 | 77 | 75 | 0 | 36 | 79 | 31 | 5,750,000$/4yrs | |||
![]() | 0 | D | 100.00 | 85 | 44 | 68 | 58 | 87 | 86 | 84 | 61 | 30 | 66 | 59 | 76 | 60 | 82 | 79 | 0 | 36 | 78 | 34 | 4,800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 34 | 86 | 63 | 72 | 91 | 82 | 64 | 30 | 69 | 56 | 75 | 60 | 72 | 70 | 0 | 36 | 78 | 28 | 4,400,000$/3yrs | |||
![]() | 0 | D | 100.00 | 56 | 33 | 88 | 58 | 78 | 86 | 89 | 62 | 30 | 65 | 52 | 74 | 57 | 82 | 81 | 0 | 36 | 76 | 34 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 34 | 85 | 62 | 70 | 89 | 86 | 61 | 30 | 66 | 57 | 72 | 59 | 66 | 65 | 0 | 36 | 76 | 25 | 3,375,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 33 | 79 | 58 | 83 | 84 | 71 | 57 | 30 | 62 | 54 | 69 | 56 | 64 | 62 | 0 | 36 | 73 | 24 | 850,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 71 | 40 | 80 | 68 | 83 | 76 | 84 | 67 | 66 | 66 | 71 | 71 | 69 | 65 | 63 | 0 | 41 | 78 | 24 | 867,500$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 58 | 33 | 93 | 67 | 79 | 80 | 87 | 65 | 76 | 67 | 69 | 57 | 67 | 72 | 71 | 0 | 37 | 76 | 28 | 4,000,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 65 | 35 | 83 | 57 | 79 | 73 | 86 | 58 | 58 | 60 | 64 | 58 | 61 | 85 | 83 | 0 | 37 | 72 | 36 | 1,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 32 | 85 | 69 | 72 | 93 | 77 | 68 | 30 | 30 | 30 | 30 | 63 | 83 | 81 | 0 | 38 | 61 | 34 | 6,500,000$/2yrs | |||
TEAM AVERAGE | 99.95 | 70 | 37 | 81 | 62 | 78 | 80 | 81 | 62 | 54 | 62 | 62 | 64 | 63 | 73 | 71 | 0 | 37 | 74 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 80 | 93 | 80 | 76 | 84 | 77 | 86 | 91 | 88 | 90 | 86 | 77 | 82 | 0 | 37 | 88 | 31 | 5,400,000$/2yrs |
![]() | 32 | 100.00 | 77 | 85 | 76 | 64 | 85 | 79 | 86 | 90 | 86 | 90 | 86 | 66 | 70 | 0 | 37 | 85 | 24 | 2,300,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 60 | 65 | 85 | 68 | 60 | 60 | 60 | 60 | 69 | 60 | 75 | 78 | 0 | 38 | 70 | 31 | 1,000,000$/2yrs |
TEAM AVERAGE | 99.00 | 72 | 79 | 74 | 75 | 79 | 72 | 77 | 80 | 78 | 83 | 77 | 73 | 77 | 0 | 37 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Tocchet | 89 | 84 | 83 | 82 | 76 | 79 | 61 | CAN | 61 | 4 | 1,000,000$ |
General Manager | Yan Turgeon |
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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 | J.J. Moser | 0 | D | 3 | 0 | 3 | 3 | 2 | 0 | 0 | 2 | 2 | 0 | 3 | 0.00% | 4 | 13.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.45 | 0 | 0 | |
2 | Evander Kane | 0 | LW/RW | 3 | 1 | 1 | 2 | -2 | 6 | 0 | 9 | 13 | 6 | 3 | 7.69% | 1 | 22.02 | 1 | 1 | 2 | 7 | 0 | 0 | 0 | 13 | 0 | 0 | 27.78% | 36 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
3 | Brady Martin | 0 | C | 3 | 0 | 2 | 2 | 0 | 0 | 0 | 4 | 2 | 0 | 0 | 0.00% | 1 | 7.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.81% | 31 | 0 | 0 | 0 | 0 | 1.76 | 0 | 0 | |
4 | Bradly Nadeau | 0 | LW | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 1 | 5 | 1 | 0 | 40.00% | 1 | 7.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.76 | 0 | 0 | |
5 | Erik Haula | 0 | C/LW/RW | 3 | 0 | 1 | 1 | -2 | 0 | 0 | 2 | 7 | 2 | 6 | 0.00% | 1 | 20.71 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 10 | 0 | 0 | 54.65% | 86 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
6 | Josh Manson | 0 | D | 3 | 1 | 0 | 1 | -3 | 9 | 5 | 17 | 5 | 2 | 6 | 20.00% | 6 | 23.63 | 1 | 0 | 1 | 8 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
7 | Sam Carrick | 0 | C/RW | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 2 | 4 | 33.33% | 0 | 9.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
8 | Patrik Laine | 0 | LW/RW | 3 | 0 | 1 | 1 | -2 | 0 | 0 | 0 | 7 | 3 | 7 | 0.00% | 1 | 22.96 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 16 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
9 | Trevor van Riemsdyk | 0 | D | 3 | 0 | 1 | 1 | -4 | 0 | 0 | 3 | 5 | 2 | 6 | 0.00% | 2 | 21.54 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
10 | Joe Veleno | 0 | C/RW | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 3 | 1 | 3 | 0.00% | 0 | 9.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.83% | 46 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
11 | Adam Pelech | 0 | D | 3 | 0 | 0 | 0 | -3 | 4 | 0 | 4 | 4 | 3 | 6 | 0.00% | 6 | 24.26 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
12 | Boris Katchouk | 0 | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 2 | 3 | 0.00% | 2 | 11.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Nathan Bastian | 0 | RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 2 | 0.00% | 0 | 7.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Taylor Hall | 0 | LW | 3 | 0 | 0 | 0 | -3 | 2 | 0 | 3 | 8 | 4 | 2 | 0.00% | 1 | 18.61 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 7 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Viktor Arvidsson | 0 | LW/RW | 3 | 0 | 0 | 0 | -3 | 2 | 0 | 3 | 5 | 2 | 3 | 0.00% | 0 | 15.24 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | John Marino | 0 | D | 3 | 0 | 0 | 0 | -4 | 6 | 0 | 8 | 2 | 0 | 2 | 0.00% | 4 | 20.75 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Isaak Phillips | 0 | D | 3 | 0 | 0 | 0 | 2 | 8 | 0 | 8 | 1 | 0 | 0 | 0.00% | 1 | 15.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Cole Guttman | 0 | C | 3 | 0 | 0 | 0 | -3 | 0 | 0 | 3 | 3 | 2 | 5 | 0.00% | 0 | 15.25 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 45.61% | 57 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 54 | 5 | 10 | 15 | -25 | 37 | 5 | 78 | 80 | 32 | 61 | 6.25% | 31 | 16.03 | 2 | 4 | 6 | 74 | 0 | 0 | 0 | 109 | 0 | 0 | 45.09% | 275 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 |
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 | 3 | 0 | 3 | 0 | 0.904 | 4.02 | 179 | 0 | 0 | 12 | 125 | 0 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 0 | |
Team Total or Average | 3 | 0 | 3 | 0 | 0.904 | 4.02 | 179 | 0 | 0 | 12 | 125 | 0 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 0 |
Projected Total Cap Hit | 74,333,554$ |
Projected Cap Space | 21,166,446$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 2,314,168$ |
Players In Salary Cap | 26 |
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$ | |||||||
Bradly Nadeau ![]() | LW | 20 | 975,000$ | 975,000$ | RFA | ||||||
Brady Martin ![]() | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
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 | ||
Isaak Phillips ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
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 | ||||
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 | ||||
Josh Manson ![]() | D | 34 | 4,800,000$ | 4,800,000$ | 4,800,000$ | 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 | |||||
Taylor Hall ![]() | LW | 33 | 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 | |||
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 | 30 | 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$ | ![]() | ||||||
Jacob Fowler ![]() | G | 20 | 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 | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Josh Jacobs ![]() | D | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Louis Crevier ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
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 | ||||
Wyatt Kaiser ![]() | D | 23 | 850,000$ | 850,000$ | 850,000$ | 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 | 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 | 40 | 97 | 41.24% | 61 | 132 | 46.21% | 23 | 46 | 50.00% | 19 | 12 | 29 | 7 | 11 | 5 | 50.0% | 10.0% | 92.7% | 102.7 | LUCKY | |
2 | 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 | 40 | 97 | 41.24% | 61 | 132 | 46.21% | 23 | 46 | 50.00% | 21 | 14 | 25 | 7 | 13 | 6 | 20.0% | 3.1% | 86.0% | 89.2 | Unlucky | |
3 | 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 | 40 | 97 | 41.24% | 61 | 132 | 46.21% | 23 | 46 | 50.00% | 24 | 15 | 23 | 7 | 12 | 6 | 25.0% | 7.1% | 92.7% | 99.8 | DULL | |
_Since Last GM Reset | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 80 | 26 | 30 | 24 | 0 | 125 | 31 | 37 | 78 | 9 | 2 | 22.22% | 16 | 4 | 75.00% | 0 | 40 | 97 | 41.24% | 61 | 132 | 46.21% | 23 | 46 | 50.00% | 64 | 43 | 77 | 22 | 37 | 18 | 27.3% | 6.3% | 90.4% | 96.7 | Unlucky | |
Total | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 80 | 26 | 30 | 24 | 0 | 125 | 31 | 37 | 78 | 9 | 2 | 22.22% | 16 | 4 | 75.00% | 0 | 40 | 97 | 41.24% | 61 | 132 | 46.21% | 23 | 46 | 50.00% | 64 | 43 | 77 | 22 | 37 | 18 | 27.3% | 6.3% | 90.4% | 96.7 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 97 |
Neutral Zone Start | 46 |
Defensive Zone Start | 132 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 124 |
Faceoffs Lost | 151 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.7 | 9.57 |
2nd Period | 18.7 | 20.31 |
3rd Period | 26.7 | 30.68 |
Overtime | 26.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 1.7 | 2.67 |
Overtime | 1.7 | 2.83 |
Even Strenght Goal | 3 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 1 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 9 |
---|---|
PP Goal | 2 |
PK Attempt | 16 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 26.7 |
Shots Against | 41.7 |
Goals For | 1.7 |
Goals Against | 4.0 |
Hits | 26.0 |
Shots Blocked | 10.3 |
Pim | 12.3 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,192,500$ | 0$ | 74,333,554$ | 20,307,500$ |
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 | 5377 | 4517 | 2000 | 3773 | 1000 |
Attendance PCT | 89.62% | 90.34% | 100.00% | 94.33% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 16667 - 92.59% | 1,524,959$ | 1,524,959$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,192,500$ | 75,192,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,371,980$ | 387,201$ | 2,314,168$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
60,998,360$ | 186 | 396,836$ | 73,811,496$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
76,620,378$ | 75,192,500$ | 83,204,269$ | 67,582,251$ |
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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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2026 | ||||||||
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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 | |||
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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