Chicago Blackhawks | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Matthew Sullivan | Morale : 50 | Team Overall : 65 |
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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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Eric Staal (C) | X | X | 100.00 | 68 | 40 | 83 | 62 | 72 | 69 | 77 | 64 | 72 | 74 | 68 | 74 | 57 | 99 | 91 | 0 | 50 | 71 | 0 | 38 | 1 | 4,600,000$ | |||
2 | Michael Amadio | X | 100.00 | 74 | 40 | 88 | 72 | 81 | 64 | 81 | 64 | 67 | 72 | 71 | 71 | 54 | 64 | 59 | 0 | 50 | 70 | 0 | 27 | 1 | 1,000,000$ | ||||
3 | Anthony Duclair | X | X | 100.00 | 69 | 40 | 91 | 83 | 80 | 71 | 69 | 63 | 51 | 79 | 61 | 60 | 56 | 70 | 59 | 0 | 50 | 69 | 0 | 28 | 2 | 4,000,000$ | |||
4 | Tanner Jeannot | X | 100.00 | 94 | 83 | 79 | 68 | 82 | 69 | 92 | 60 | 56 | 72 | 62 | 73 | 54 | 60 | 58 | 0 | 50 | 69 | 0 | 26 | 1 | 990,000$ | ||||
5 | Jonathan Drouin | X | 100.00 | 67 | 40 | 84 | 73 | 81 | 71 | 75 | 66 | 68 | 81 | 59 | 65 | 58 | 70 | 59 | 0 | 50 | 69 | 0 | 28 | 2 | 2,800,000$ | ||||
6 | Jordan Greenway | X | 100.00 | 80 | 40 | 81 | 70 | 88 | 67 | 83 | 58 | 52 | 70 | 63 | 73 | 54 | 65 | 59 | 0 | 50 | 68 | 0 | 26 | 1 | 4,200,000$ | ||||
7 | Liam O'Brien | X | 100.00 | 86 | 83 | 72 | 61 | 86 | 62 | 77 | 59 | 53 | 72 | 60 | 76 | 54 | 58 | 58 | 0 | 50 | 67 | 0 | 29 | 1 | 1,250,000$ | ||||
8 | Ryan Reaves | X | X | 100.00 | 82 | 76 | 90 | 61 | 91 | 57 | 88 | 59 | 53 | 72 | 61 | 71 | 54 | 81 | 60 | 0 | 50 | 67 | 0 | 36 | 2 | 2,500,000$ | |||
9 | Ryan Lomberg | X | 100.00 | 78 | 67 | 77 | 65 | 78 | 62 | 88 | 60 | 60 | 70 | 66 | 68 | 54 | 60 | 58 | 0 | 50 | 67 | 0 | 28 | 1 | 1,750,000$ | ||||
10 | Jonah Gadjovich | X | 100.00 | 85 | 99 | 84 | 58 | 82 | 56 | 69 | 58 | 52 | 71 | 61 | 70 | 54 | 57 | 58 | 0 | 50 | 65 | 0 | 24 | 2 | 930,000$ | ||||
11 | Connor Brown | X | 100.00 | 60 | 40 | 88 | 64 | 70 | 74 | 70 | 50 | 50 | 59 | 53 | 60 | 54 | 69 | 64 | 0 | 50 | 60 | 0 | 29 | 4 | 1,100,000$ | ||||
12 | Henrik Borgstrom | X | 100.00 | 54 | 57 | 68 | 58 | 66 | 65 | 63 | 57 | 55 | 57 | 57 | 59 | 57 | 62 | 57 | 0 | 50 | 59 | 0 | 26 | 1 | 1,000,000$ | ||||
13 | Owen Power (R) | X | 100.00 | 65 | 40 | 85 | 84 | 81 | 93 | 77 | 65 | 40 | 80 | 61 | 79 | 85 | 57 | 58 | 0 | 50 | 74 | 0 | 20 | 3 | 975,000$ | ||||
14 | Juuso Valimaki | X | 100.00 | 68 | 40 | 77 | 70 | 80 | 79 | 80 | 65 | 40 | 78 | 60 | 88 | 54 | 59 | 58 | 0 | 50 | 72 | 0 | 25 | 4 | 4,000,000$ | ||||
15 | Matt Dumba (A) | X | 100.00 | 70 | 68 | 74 | 69 | 70 | 87 | 88 | 58 | 40 | 71 | 60 | 85 | 54 | 74 | 66 | 0 | 50 | 71 | 0 | 29 | 4 | 2,100,000$ | ||||
16 | Nick Blankenburg | X | 100.00 | 70 | 40 | 81 | 64 | 72 | 81 | 63 | 62 | 40 | 74 | 63 | 82 | 54 | 55 | 58 | 0 | 50 | 70 | 0 | 25 | 2 | 1,881,125$ | ||||
17 | Jake Muzzin (A) | X | 100.00 | 67 | 40 | 72 | 63 | 90 | 74 | 67 | 54 | 40 | 61 | 53 | 77 | 54 | 77 | 65 | 0 | 50 | 65 | 0 | 34 | 2 | 6,000,000$ | ||||
18 | Mike Reilly | X | 100.00 | 60 | 51 | 69 | 62 | 67 | 64 | 62 | 57 | 40 | 60 | 56 | 64 | 56 | 68 | 61 | 0 | 50 | 61 | 0 | 30 | 2 | 3,000,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Tyler Johnson | X | 100.00 | 72 | 40 | 85 | 73 | 78 | 75 | 74 | 68 | 76 | 79 | 69 | 68 | 91 | 76 | 60 | 0 | 50 | 72 | 0 | 33 | 2 | 3,000,000$ | ||||
2 | CHI Cap Hit | X | HO | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 50 | 1 | 0 | 39 | 3 | 16,125,000$ | ||||
3 | Philippe Myers | X | 100.00 | 61 | 52 | 65 | 61 | 74 | 64 | 64 | 58 | 40 | 61 | 57 | 65 | 54 | 62 | 57 | 0 | 50 | 61 | 0 | 26 | 1 | 3,800,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Sean Farrell (R) | X | 100.00 | 57 | 40 | 88 | 55 | 71 | 71 | 56 | 53 | 51 | 67 | 63 | 61 | 54 | 54 | 58 | 0 | 50 | 62 | 0 | 21 | 3 | 825,000$ | ||||
2 | Brett Murray | X | 100.00 | 55 | 58 | 65 | 61 | 74 | 68 | 66 | 62 | 55 | 59 | 63 | 60 | 54 | 61 | 56 | 0 | 50 | 62 | 0 | 25 | 1 | 775,000$ | ||||
3 | Mavrik Bourque (R) | X | 100.00 | 54 | 58 | 67 | 62 | 60 | 68 | 65 | 62 | 70 | 59 | 62 | 60 | 54 | 54 | 52 | 0 | 50 | 61 | 0 | 21 | 1 | 975,000$ | ||||
4 | Fredrik Karlstrom | X | 100.00 | 55 | 55 | 69 | 59 | 64 | 63 | 61 | 57 | 68 | 57 | 57 | 61 | 55 | 60 | 56 | 0 | 50 | 59 | 0 | 25 | 1 | 700,000$ | ||||
5 | Filip Hallander | X | 100.00 | 55 | 55 | 68 | 59 | 65 | 62 | 61 | 59 | 55 | 58 | 58 | 61 | 54 | 57 | 54 | 0 | 50 | 59 | 0 | 23 | 1 | 925,000$ | ||||
6 | Daniel Torgersson | X | 100.00 | 54 | 54 | 67 | 60 | 67 | 67 | 65 | 57 | 55 | 56 | 58 | 58 | 54 | 54 | 52 | 0 | 50 | 59 | 0 | 21 | 2 | 700,000$ | ||||
7 | Tyler Tullio (R) | X | 100.00 | 54 | 55 | 67 | 59 | 59 | 66 | 64 | 58 | 55 | 56 | 59 | 61 | 54 | 54 | 52 | 0 | 50 | 59 | 0 | 21 | 3 | 775,000$ | ||||
8 | Alexander Pashin (R) | X | 100.00 | 54 | 57 | 67 | 57 | 52 | 63 | 61 | 56 | 55 | 55 | 56 | 58 | 57 | 54 | 52 | 0 | 50 | 57 | 0 | 21 | 3 | 675,000$ | ||||
9 | Haydn Fleury | X | 100.00 | 68 | 40 | 90 | 62 | 79 | 66 | 67 | 53 | 40 | 68 | 55 | 84 | 54 | 62 | 58 | 0 | 50 | 66 | 0 | 27 | 1 | 960,000$ | ||||
10 | Travis Dermott | X | 100.00 | 65 | 41 | 86 | 58 | 80 | 67 | 67 | 53 | 40 | 66 | 59 | 79 | 54 | 63 | 58 | 0 | 50 | 65 | 0 | 26 | 2 | 930,000$ | ||||
11 | Justin Barron | X | 100.00 | 63 | 45 | 74 | 60 | 73 | 68 | 61 | 60 | 40 | 68 | 60 | 69 | 54 | 55 | 56 | 0 | 50 | 64 | 0 | 21 | 2 | 975,000$ | ||||
12 | Isaak Phillips | X | 100.00 | 60 | 60 | 70 | 65 | 68 | 66 | 62 | 58 | 40 | 62 | 57 | 66 | 54 | 55 | 54 | 0 | 50 | 62 | 0 | 22 | 1 | 775,000$ | ||||
13 | Matthew Robertson | X | 100.00 | 55 | 57 | 65 | 60 | 67 | 65 | 63 | 58 | 40 | 57 | 56 | 59 | 54 | 55 | 53 | 0 | 50 | 59 | 0 | 22 | 2 | 925,000$ | ||||
14 | William Villeneuve | X | 100.00 | 55 | 54 | 66 | 57 | 62 | 64 | 63 | 58 | 40 | 58 | 55 | 62 | 54 | 54 | 52 | 0 | 50 | 58 | 0 | 21 | 1 | 825,000$ | ||||
15 | Dylan Guenther (R) | X | 100.00 | 71 | 40 | 84 | 66 | 65 | 67 | 60 | 64 | 53 | 75 | 64 | 67 | 54 | 55 | 58 | 0 | 50 | 67 | 0 | 20 | 3 | 975,000$ | ||||
16 | Rafael Harvey-Pinard | X | 100.00 | 69 | 48 | 75 | 66 | 66 | 69 | 61 | 63 | 53 | 64 | 68 | 67 | 54 | 57 | 56 | 0 | 50 | 66 | 0 | 24 | 1 | 960,000$ | ||||
17 | Ben Jones | X | 100.00 | 55 | 61 | 63 | 64 | 62 | 68 | 66 | 63 | 70 | 61 | 60 | 66 | 54 | 59 | 55 | 0 | 50 | 62 | 0 | 24 | 1 | 775,000$ | ||||
18 | Wyatt Kaiser (R) | X | 100.00 | 57 | 40 | 74 | 60 | 66 | 80 | 56 | 56 | 40 | 78 | 54 | 72 | 54 | 54 | 58 | 0 | 50 | 65 | 0 | 21 | 3 | 875,000$ | ||||
19 | Jeremie Poirier (R) | X | 100.00 | 55 | 58 | 64 | 63 | 63 | 67 | 65 | 61 | 40 | 60 | 57 | 61 | 65 | 54 | 52 | 0 | 50 | 60 | 0 | 21 | 3 | 875,000$ | ||||
20 | Jared McIsaac | X | 100.00 | 55 | 54 | 66 | 58 | 63 | 66 | 64 | 58 | 40 | 58 | 55 | 57 | 54 | 57 | 54 | 0 | 50 | 58 | 0 | 23 | 1 | 925,000$ | ||||
21 | Samuel Knazko (R) | X | 100.00 | 55 | 53 | 67 | 56 | 63 | 64 | 62 | 57 | 40 | 58 | 54 | 57 | 54 | 54 | 52 | 0 | 50 | 57 | 0 | 21 | 3 | 875,000$ | ||||
22 | Hunter Skinner | X | 100.00 | 55 | 54 | 67 | 55 | 62 | 58 | 58 | 55 | 40 | 56 | 54 | 61 | 54 | 55 | 53 | 0 | 50 | 57 | 0 | 22 | 1 | 825,000$ | ||||
TEAM AVERAGE | 100.00 | 63 | 51 | 74 | 62 | 70 | 67 | 67 | 58 | 49 | 64 | 58 | 66 | 55 | 60 | 56 | 0 | 50 | 63 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Ingram | 100.00 | 69 | 71 | 73 | 80 | 81 | 77 | 84 | 76 | 82 | 71 | 86 | 56 | 56 | 0 | 50 | 76 | 0 | 26 | 4 | 1,605,625$ | |
2 | Cal Petersen | 100.00 | 60 | 64 | 65 | 70 | 65 | 67 | 67 | 66 | 57 | 67 | 65 | 67 | 59 | 0 | 50 | 64 | 0 | 28 | 1 | 3,500,000$ | |
Scratches | |||||||||||||||||||||||
1 | Tuukka Rask | 100.00 | 77 | 55 | 57 | 83 | 60 | 83 | 60 | 66 | 64 | 62 | 92 | 83 | 82 | 0 | 50 | 68 | 0 | 36 | 2 | 7,500,000$ | |
Farm Team | |||||||||||||||||||||||
1 | Mads Sogaard | 100.00 | 62 | 62 | 63 | 88 | 72 | 71 | 71 | 62 | 68 | 65 | 67 | 56 | 54 | 0 | 50 | 67 | 0 | 22 | 1 | 925,000$ | |
2 | Jack Lafontaine | 100.00 | 54 | 55 | 55 | 70 | 65 | 54 | 68 | 55 | 57 | 55 | 65 | 60 | 55 | 0 | 50 | 59 | 0 | 25 | 2 | 750,000$ | |
TEAM AVERAGE | 100.00 | 64 | 61 | 63 | 78 | 69 | 70 | 70 | 65 | 66 | 64 | 75 | 64 | 61 | 0 | 50 | 67 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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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 |
# | 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 |
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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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Waiver Possible | Contract | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
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Anthony Duclair | Chicago Blackhawks | LW/RW | 28 | 1995-08-26 | No | 197 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 4,000,000$ | 285,714$ | 4,000,000$ | 285,714$ | No | 4,000,000$ | Link | ||||||||
CHI Cap Hit | Chicago Blackhawks | C | 39 | 1984-06-15 | No | 220 Lbs | 6 ft4 | No | No | No | No | 3 | Pro & Farm | 16,125,000$ | 1,151,786$ | 16,125,000$ | 1,151,786$ | No | 11,000,000$ | 7,250,000$ | ||||||||
Cal Petersen | Chicago Blackhawks | G | 28 | 1994-10-19 | No | 185 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 3,500,000$ | 250,000$ | 3,500,000$ | 250,000$ | No | Link | |||||||||
Connor Brown | Chicago Blackhawks | RW | 29 | 1994-01-14 | No | 181 Lbs | 6 ft0 | No | No | No | No | 4 | Pro & Farm | 1,100,000$ | 78,571$ | 1,100,000$ | 78,571$ | No | 1,100,000$ | 1,100,000$ | 1,100,000$ | Link | ||||||
Connor Ingram | Chicago Blackhawks | G | 26 | 1997-03-31 | No | 196 Lbs | 6 ft2 | No | No | No | No | 4 | Pro & Farm | 1,605,625$ | 114,688$ | 1,605,625$ | 114,688$ | No | 1,605,625$ | 1,605,625$ | 1,605,625$ | Link | ||||||
Eric Staal | Chicago Blackhawks | C/LW | 38 | 1984-10-29 | No | 195 Lbs | 6 ft4 | No | No | No | No | 1 | Pro & Farm | 4,600,000$ | 328,571$ | 4,600,000$ | 328,571$ | No | Link | |||||||||
Henrik Borgstrom | Chicago Blackhawks | C | 26 | 1997-08-06 | No | 199 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 1,000,000$ | 71,429$ | 1,000,000$ | 71,429$ | No | Link | |||||||||
Jake Muzzin | Chicago Blackhawks | D | 34 | 1989-02-21 | No | 227 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 6,000,000$ | 428,571$ | 6,000,000$ | 428,571$ | No | 6,000,000$ | Link | ||||||||
Jonah Gadjovich | Chicago Blackhawks | LW | 24 | 1998-10-12 | No | 209 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 930,000$ | 66,429$ | 930,000$ | 66,429$ | No | 930,000$ | Link | ||||||||
Jonathan Drouin | Chicago Blackhawks | RW | 28 | 1995-03-28 | No | 198 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 2,800,000$ | 200,000$ | 2,800,000$ | 200,000$ | No | 2,800,000$ | Link | ||||||||
Jordan Greenway | Chicago Blackhawks | LW | 26 | 1997-02-16 | No | 231 Lbs | 6 ft6 | No | No | No | No | 1 | Pro & Farm | 4,200,000$ | 300,000$ | 4,200,000$ | 300,000$ | No | Link | |||||||||
Juuso Valimaki | Chicago Blackhawks | D | 25 | 1998-10-06 | No | 205 Lbs | 6 ft2 | No | No | No | No | 4 | Pro & Farm | 4,000,000$ | 285,714$ | 4,000,000$ | 285,714$ | No | 4,000,000$ | 4,000,000$ | 4,000,000$ | Link | ||||||
Liam O'Brien | Chicago Blackhawks | LW | 29 | 1994-07-29 | No | 213 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 1,250,000$ | 89,286$ | 1,250,000$ | 89,286$ | No | Link | |||||||||
Matt Dumba | Chicago Blackhawks | D | 29 | 1994-07-25 | No | 181 Lbs | 6 ft0 | No | No | No | No | 4 | Pro & Farm | 2,100,000$ | 150,000$ | 2,100,000$ | 150,000$ | No | 2,100,000$ | 2,100,000$ | 2,100,000$ | Link | ||||||
Michael Amadio | Chicago Blackhawks | C | 27 | 1996-05-13 | No | 204 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 1,000,000$ | 71,429$ | 1,000,000$ | 71,429$ | No | Link | |||||||||
Mike Reilly | Chicago Blackhawks | D | 30 | 1993-07-13 | No | 196 Lbs | 6 ft1 | No | No | No | No | 2 | Pro & Farm | 3,000,000$ | 214,286$ | 3,000,000$ | 214,286$ | No | 3,000,000$ | Link | ||||||||
Nick Blankenburg | Chicago Blackhawks | D | 25 | 1998-05-12 | No | 177 Lbs | 5 ft9 | No | No | No | No | 2 | Pro & Farm | 1,881,125$ | 134,366$ | 1,881,125$ | 134,366$ | No | 1,881,125$ | Link | ||||||||
Owen Power | Chicago Blackhawks | D | 20 | 2002-11-22 | Yes | 218 Lbs | 6 ft6 | No | No | No | No | 3 | Pro & Farm | 975,000$ | 69,643$ | 975,000$ | 69,643$ | No | 975,000$ | 975,000$ | ||||||||
Philippe Myers | Chicago Blackhawks | D | 26 | 1997-01-25 | No | 219 Lbs | 6 ft6 | No | No | No | No | 1 | Pro & Farm | 3,800,000$ | 271,429$ | 3,800,000$ | 271,429$ | No | Link | |||||||||
Ryan Lomberg | Chicago Blackhawks | LW | 28 | 1994-12-09 | No | 187 Lbs | 5 ft9 | No | No | No | No | 1 | Pro & Farm | 1,750,000$ | 125,000$ | 1,750,000$ | 125,000$ | No | Link | |||||||||
Ryan Reaves | Chicago Blackhawks | LW/RW | 36 | 1987-01-20 | No | 225 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 2,500,000$ | 178,571$ | 2,500,000$ | 178,571$ | No | 2,500,000$ | Link | ||||||||
Tanner Jeannot | Chicago Blackhawks | RW | 26 | 1997-05-29 | No | 208 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 990,000$ | 70,714$ | 990,000$ | 70,714$ | No | Link | |||||||||
Tuukka Rask | Chicago Blackhawks | G | 36 | 1987-03-10 | No | 176 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 7,500,000$ | 535,714$ | 7,500,000$ | 535,714$ | No | 7,500,000$ | Link | ||||||||
Tyler Johnson | Chicago Blackhawks | C | 33 | 1990-07-29 | No | 185 Lbs | 5 ft8 | No | No | No | No | 2 | Pro & Farm | 3,000,000$ | 214,286$ | 3,000,000$ | 214,286$ | No | 3,000,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 29.00 | 201 Lbs | 6 ft2 | 2.04 | 3,316,948$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
79,606,750$ | 52,391,750$ | 17,030,625$ | 8,805,625$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Eric Staal | Anthony Duclair | 35 | 1 | 2 | 2 | |
2 | Jordan Greenway | Michael Amadio | Jonathan Drouin | 30 | 1 | 2 | 2 |
3 | Ryan Lomberg | Henrik Borgstrom | Tanner Jeannot | 25 | 1 | 2 | 2 |
4 | Ryan Reaves | Connor Brown | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Owen Power | Juuso Valimaki | 35 | 1 | 2 | 2 | |
2 | Matt Dumba | Nick Blankenburg | 30 | 1 | 2 | 2 | |
3 | Jake Muzzin | Mike Reilly | 25 | 1 | 2 | 2 | |
4 | Owen Power | Juuso Valimaki | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Eric Staal | Anthony Duclair | 60 | 1 | 2 | 2 | |
2 | Jordan Greenway | Michael Amadio | Jonathan Drouin | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Owen Power | Juuso Valimaki | 60 | 1 | 2 | 2 | |
2 | Matt Dumba | Nick Blankenburg | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Eric Staal | 60 | 1 | 2 | 2 | |
2 | Michael Amadio | Anthony Duclair | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Owen Power | Juuso Valimaki | 60 | 1 | 2 | 2 |
2 | Matt Dumba | Nick Blankenburg | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | Owen Power | Juuso Valimaki | 60 | 1 | 2 | 2 | |
2 | Eric Staal | 40 | 1 | 2 | 2 | Matt Dumba | Nick Blankenburg | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Eric Staal | 60 | 1 | 2 | 2 | |
2 | Michael Amadio | Anthony Duclair | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Owen Power | Juuso Valimaki | 60 | 1 | 2 | 2 |
2 | Matt Dumba | Nick Blankenburg | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Eric Staal | Anthony Duclair | Owen Power | Juuso Valimaki |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Eric Staal | Anthony Duclair | Owen Power | Juuso Valimaki |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Liam O'Brien, Jonah Gadjovich, Tanner Jeannot | Liam O'Brien, Jonah Gadjovich | Tanner Jeannot |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jake Muzzin, Mike Reilly, Matt Dumba | Jake Muzzin | Mike Reilly, Matt Dumba |
Penalty Shots |
---|
, Eric Staal, Michael Amadio, Anthony Duclair, Jonathan Drouin |
Goalie |
---|
#1 : Cal Petersen, #2 : Connor Ingram |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100 | 65 | 75 | 50 | 250 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 79,606,750$ | 30,481,750$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 23 | 1 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 1 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 26,924,604$ | 26,924,604$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 86,625,000$ | 86,625,000$ | -61,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Link |
---|---|---|---|---|---|
Adam Fantilli | Chicago Blackhawks | 2023 | 2 | ||
Andrew Cristall | Chicago Blackhawks | 2023 | 24 | ||
Benjamin Gaudreau | Chicago Blackhawks | 2021 | 60 | ||
Cameron Allen | Chicago Blackhawks | 2023 | 60 | ||
Carey Terrance | Chicago Blackhawks | 2023 | 77 | ||
Conor Geekie | Chicago Blackhawks | 2022 | 18 | ||
Florian Xhekaj | Chicago Blackhawks | 0 | 0 | ||
Jayden Grubbe | Chicago Blackhawks | 2021 | 65 | ||
Jayson Shaugabay | Chicago Blackhawks | 0 | 0 | ||
Jeremy Langlois | Chicago Blackhawks | 0 | 0 | ||
Jonathan Castagna | Chicago Blackhawks | 0 | 0 | ||
Logan Mailloux | Chicago Blackhawks | 2021 | 43 | ||
Lukas Dragicevic | Chicago Blackhawks | 2023 | 33 | ||
Matthew Coronato | Chicago Blackhawks | 2021 | 15 | ||
Matthew Wood | Chicago Blackhawks | 2023 | 15 | ||
Nolan Allan | Chicago Blackhawks | 2021 | 48 | ||
Ryan Greene | Chicago Blackhawks | 2022 | 61 | ||
Sebastian Cossa | Chicago Blackhawks | 2021 | 9 | ||
Zach Dean | Chicago Blackhawks | 2021 | 29 | ||
Zion Nybeck | Chicago Blackhawks | 2020 | 64 |
Year | R1 | R2 | R3 |
---|---|---|---|
2024 | |||
2025 | |||
2026 | |||
2027 | |||
2028 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Owen Power | 79 | 17 | 43 | 60 | -26 | 34 | 86 | 140 | 158 | 10.76% | 108 | 1915 | 24.24 | 11 | 13 | 24 | 113 | 1 | 3 | 4 | 3 | 2 | 3 | 0% | 0 | 0.63 | 1 | 2 |
2 | Juuso Valimaki | 82 | 11 | 41 | 52 | -29 | 102 | 195 | 133 | 151 | 7.28% | 152 | 1978 | 24.13 | 4 | 13 | 17 | 82 | 1 | 2 | 3 | 4 | 2 | 1 | 0% | 0 | 0.53 | 0 | 0 |
3 | Matt Dumba | 82 | 9 | 37 | 46 | -22 | 65 | 155 | 117 | 110 | 8.18% | 110 | 1765 | 21.53 | 5 | 7 | 12 | 59 | 0 | 2 | 2 | 0 | 0 | 0 | 0% | 0 | 0.52 | 0 | 0 |
4 | Michael Amadio | 82 | 22 | 23 | 45 | -19 | 16 | 40 | 173 | 194 | 11.34% | 11 | 1485 | 18.12 | 2 | 10 | 12 | 17 | 1 | 2 | 3 | 6 | 3 | 0 | 48.88% | 0 | 0.61 | 0 | 2 |
5 | Tyler Johnson | 75 | 14 | 24 | 38 | -30 | 28 | 90 | 208 | 235 | 5.96% | 18 | 1665 | 22.21 | 5 | 9 | 14 | 53 | 0 | 0 | 0 | 9 | 2 | 2 | 50.04% | 0 | 0.46 | 0 | 3 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Ingram | 34 | 11 | 18 | 4 | 0.894 | 3.10 | 2010 | 2 | 2 | 104 | 982 | 0 | 1 | 1 | 1.000 | 3 |
2 | Cal Petersen | 24 | 7 | 12 | 4 | 0.909 | 2.95 | 1424 | 0 | 1 | 70 | 772 | 0 | 0 | 0 | 0.500 | 4 |
3 | Tuukka Rask | 15 | 5 | 9 | 1 | 0.875 | 3.70 | 875 | 4 | 0 | 54 | 431 | 0 | 0 | 0 | 0.857 | 7 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2023 | 82 | 22 | 49 | 0 | 2 | 6 | 3 | 0 | 200 | 274 | -74 | 41 | 10 | 28 | 0 | 1 | 2 | 0 | 0 | 102 | 150 | -48 | 41 | 12 | 21 | 0 | 1 | 4 | 3 | 0 | 98 | 124 | -26 | 60 | 200 | 353 | 553 | 2 | 4 | 74 | 58 | 63 | 7 | 2136 | 652 | 721 | 742 | 37 | 2518 | 728 | 739 | 1753 | 289 | 47 | 16.26% | 319 | 75 | 76.49% | 7 | 1289 | 2615 | 49.29% | 1431 | 2987 | 47.91% | 634 | 1277 | 49.65% | 1832 | 1216 | 2036 | 648 | 1085 | 526 |
Total Regular Season | 82 | 22 | 49 | 0 | 2 | 6 | 3 | 0 | 200 | 274 | -74 | 41 | 10 | 28 | 0 | 1 | 2 | 0 | 0 | 102 | 150 | -48 | 41 | 12 | 21 | 0 | 1 | 4 | 3 | 0 | 98 | 124 | -26 | 60 | 200 | 353 | 553 | 2 | 4 | 74 | 58 | 63 | 7 | 2136 | 652 | 721 | 742 | 37 | 2518 | 728 | 739 | 1753 | 289 | 47 | 16.26% | 319 | 75 | 76.49% | 7 | 1289 | 2615 | 49.29% | 1431 | 2987 | 47.91% | 634 | 1277 | 49.65% | 1832 | 1216 | 2036 | 648 | 1085 | 526 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|