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Full Scoreboard »» |
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Full Scoreboard »» |
Minnesota Wild 0-1-0, 0pts · 5th 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 | 72 | 34 | 89 | 79 | 85 | 90 | 80 | 77 | 59 | 72 | 86 | 71 | 81 | 76 | 75 | 0 | 63 | 87 | 30 | 4,200,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 89 | 80 | 68 | 86 | 90 | 77 | 58 | 80 | 78 | 59 | 77 | 64 | 63 | 0 | 81 | 85 | 23 | 7,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 33 | 82 | 72 | 82 | 88 | 89 | 76 | 59 | 67 | 87 | 56 | 82 | 81 | 79 | 0 | 82 | 84 | 32 | 6,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 63 | 36 | 86 | 77 | 65 | 86 | 90 | 75 | 60 | 74 | 80 | 59 | 78 | 71 | 70 | 0 | 80 | 83 | 27 | 6,500,000$/1yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 81 | 47 | 75 | 68 | 78 | 85 | 90 | 68 | 84 | 71 | 70 | 70 | 69 | 82 | 88 | 0 | 82 | 81 | 33 | 6,500,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 35 | 88 | 70 | 80 | 88 | 89 | 70 | 88 | 76 | 67 | 75 | 69 | 78 | 76 | 0 | 81 | 81 | 31 | 5,500,000$/6yrs | |||
![]() | 0 | C | 100.00 | 68 | 33 | 87 | 73 | 81 | 85 | 82 | 68 | 84 | 69 | 72 | 76 | 70 | 66 | 65 | 0 | 81 | 80 | 24 | 6,000,000$/8yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 41 | 84 | 67 | 87 | 81 | 90 | 63 | 59 | 61 | 69 | 74 | 66 | 72 | 70 | 0 | 80 | 78 | 27 | 4,300,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 32 | 91 | 62 | 72 | 83 | 90 | 63 | 80 | 68 | 64 | 79 | 64 | 77 | 76 | 0 | 65 | 77 | 30 | 3,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 33 | 92 | 68 | 78 | 76 | 81 | 65 | 60 | 67 | 67 | 53 | 66 | 72 | 71 | 0 | 81 | 76 | 28 | 900,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 32 | 96 | 65 | 67 | 81 | 86 | 64 | 79 | 65 | 65 | 74 | 65 | 69 | 69 | 0 | 81 | 76 | 26 | 2,200,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 68 | 32 | 89 | 59 | 75 | 80 | 76 | 65 | 61 | 65 | 65 | 64 | 65 | 82 | 80 | 0 | 61 | 75 | 33 | 2,100,000$/2yrs | |||
![]() | 0 | D | 99.00 | 66 | 32 | 85 | 77 | 72 | 97 | 90 | 71 | 30 | 83 | 66 | 67 | 68 | 76 | 74 | 0 | 70 | 86 | 30 | 6,250,000$/4yrs | |||
![]() | 0 | D | 98.00 | 60 | 33 | 89 | 63 | 78 | 95 | 82 | 66 | 30 | 69 | 61 | 81 | 64 | 79 | 78 | 0 | 81 | 81 | 31 | 5,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 68 | 33 | 91 | 58 | 83 | 90 | 90 | 63 | 30 | 66 | 57 | 76 | 60 | 78 | 77 | 0 | 78 | 78 | 31 | 3,750,000$/2yrs | |||
![]() | 0 | D | 99.00 | 68 | 32 | 93 | 63 | 65 | 90 | 85 | 61 | 30 | 67 | 56 | 74 | 59 | 70 | 69 | 0 | 81 | 77 | 26 | 5,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 77 | 35 | 78 | 55 | 79 | 86 | 88 | 58 | 30 | 63 | 55 | 71 | 56 | 83 | 81 | 0 | 76 | 75 | 34 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 36 | 91 | 57 | 84 | 86 | 83 | 58 | 30 | 64 | 53 | 72 | 56 | 70 | 69 | 0 | 80 | 75 | 27 | 2,750,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 84 | 45 | 69 | 59 | 86 | 74 | 79 | 58 | 59 | 60 | 61 | 58 | 59 | 68 | 65 | 0 | 23 | 71 | 25 | 1,300,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 32 | 85 | 60 | 68 | 83 | 77 | 56 | 30 | 64 | 56 | 59 | 56 | 65 | 64 | 0 | 24 | 72 | 24 | 812,500$/1yrs | |||
TEAM AVERAGE | 99.70 | 69 | 35 | 86 | 67 | 77 | 86 | 85 | 66 | 55 | 69 | 67 | 68 | 67 | 74 | 73 | 0 | 72 | 79 |
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 | 98.00 | 83 | 86 | 77 | 80 | 88 | 79 | 88 | 90 | 87 | 90 | 88 | 75 | 79 | 0 | 55 | 88 | 29 | 5,000,000$/2yrs |
![]() | 0 | 100.00 | 66 | 71 | 70 | 74 | 74 | 67 | 77 | 85 | 78 | 83 | 77 | 64 | 68 | 0 | 82 | 79 | 23 | 925,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 75 | 79 | 74 | 77 | 81 | 73 | 83 | 88 | 83 | 87 | 83 | 70 | 74 | 0 | 69 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Boudreau | 78 | 69 | 90 | 83 | 99 | 92 | 74 | CAN | 68 | 5 | 1,000,000$ |
General Manager | Philippe Shaugnessy |
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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 | Valeri Nichushkin | 0 | LW/RW | 1 | 1 | 1 | 2 | 0 | 2 | 0 | 3 | 5 | 0 | 3 | 20.00% | 0 | 14.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 2.68 | 0 | 0 | |
2 | Chandler Stephenson | 0 | C/LW | 1 | 1 | 1 | 2 | 0 | 2 | 0 | 1 | 3 | 2 | 3 | 33.33% | 2 | 18.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 39.13% | 23 | 0 | 0 | 0 | 0 | 2.22 | 0 | 0 | |
3 | Calle Jarnkrok | 0 | C/LW/RW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 1 | 0 | 4 | 100.00% | 0 | 12.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 1.66 | 0 | 0 | |
4 | Dmitry Kulikov | 0 | D | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 4 | 0 | 0 | 1 | 0.00% | 1 | 19.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | |
5 | Josh Morrissey | 0 | D | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 2 | 1 | 1 | 1 | 0.00% | 1 | 25.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |
6 | Noah Cates | 0 | C/LW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 0 | 0 | 2 | 0.00% | 1 | 8.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.46% | 13 | 0 | 0 | 0 | 0 | 2.31 | 0 | 0 | |
7 | Alex DeBrincat | 0 | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 4 | 1 | 5 | 0.00% | 0 | 20.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
8 | Daniel Sprong | 0 | LW/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 11.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
9 | Alexander Kerfoot | 0 | C/LW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0.00% | 0 | 10.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
10 | Brayden Schenn | 0 | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 3 | 0 | 2 | 0.00% | 1 | 19.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 56.52% | 23 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
11 | Cody Ceci | 0 | D | 1 | 0 | 0 | 0 | -1 | 15 | 5 | 0 | 0 | 0 | 0 | 0.00% | 0 | 4.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
12 | Jonas Brodin | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 0 | 0.00% | 2 | 26.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Lawson Crouse | 0 | LW/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 1 | 0 | 1 | 0.00% | 0 | 14.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Samuel Girard | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 2 | 22.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Zach Hyman | 0 | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 3 | 0.00% | 0 | 17.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Andrew Peeke | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0.00% | 2 | 19.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Lucas Raymond | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 1 | 0.00% | 0 | 14.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Shane Pinto | 0 | C | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 1 | 0 | 2 | 0.00% | 0 | 9.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 18 | 3 | 5 | 8 | -10 | 19 | 5 | 31 | 25 | 6 | 30 | 12.00% | 12 | 16.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 49.38% | 81 | 0 | 0 | 0 | 0 | 0.55 | 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 | Thatcher Demko | 1 | 0 | 1 | 0 | 0.848 | 5.00 | 60 | 0 | 0 | 5 | 33 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
Team Total or Average | 1 | 0 | 1 | 0 | 0.848 | 5.00 | 60 | 0 | 0 | 5 | 33 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Wild Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex DeBrincat ![]() | C/LW/RW | 27 | 6,500,000$ | 6,500,000$ | |||||||
Alexander Kerfoot ![]() | C/LW | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Andrew Peeke ![]() | D | 27 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Brayden Schenn ![]() | C/LW/RW | 33 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||
Calle Jarnkrok ![]() | C/LW/RW | 33 | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | |||||
Chandler Stephenson ![]() | C/LW | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |
Cody Ceci ![]() | D | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||||
Daniel Sprong ![]() | LW/RW | 28 | 900,000$ | 900,000$ | UFA | ||||||
Devon Levi ![]() | G | 23 | 925,000$ | 925,000$ | RFA | ||||||
Dmitry Kulikov ![]() | D | 34 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Jonas Brodin ![]() | D | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Josh Morrissey ![]() | D | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |||
Klim Kostin ![]() | C | 25 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Lawson Crouse ![]() | LW/RW | 27 | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | |||
Lucas Raymond ![]() | LW/RW | 23 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||
Noah Cates ![]() | C/LW | 26 | 2,200,000$ | 2,200,000$ | |||||||
Samuel Girard ![]() | D | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Shane Pinto ![]() | C | 24 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ |
Thatcher Demko | G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Valeri Nichushkin ![]() | LW/RW | 30 | 4,200,000$ | 4,200,000$ | UFA | ||||||
Zac Jones ![]() | D | 24 | 812,500$ | 812,500$ | RFA | ||||||
Zach Hyman ![]() | LW/RW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Holtz ![]() | LW/RW | 23 | 894,167$ | 894,167$ | RFA | ||||||
Anton Wahlberg ![]() | C | 19 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
Anttoni Honka ![]() | D | 24 | 836,667$ | 836,667$ | RFA | ||||||
Charles-Alexis Legault ![]() | D | 21 | 0$ | RFA | |||||||
Chase de Leo ![]() | C | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Christoffer Sedoff ![]() | D | 23 | 870,000$ | 870,000$ | RFA | ||||||
Cooper Marody ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Daniil Chayka ![]() | D | 22 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
David Tendeck ![]() | G | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Evan Nause ![]() | D | 22 | 886,667$ | 886,667$ | RFA | ||||||
Grigori Denisenko ![]() | LW/RW | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Henri Nikkanen ![]() | C | 24 | 859,167$ | 859,167$ | RFA | ||||||
Henry Rybinski ![]() | RW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Ivan Prosvetov ![]() | G | 26 | 950,000$ | 950,000$ | ![]() | ||||||
Jake Wise ![]() | C | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Josh Bloom ![]() | LW | 21 | 859,167$ | 859,167$ | RFA | ||||||
Lucas Condotta ![]() | LW | 28 | 850,000$ | 850,000$ | UFA | ||||||
Magnus Chrona ![]() | G | 24 | 867,500$ | 867,500$ | RFA | ||||||
Marian Studenic ![]() | LW/RW | 26 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||||
Nikita Novikov ![]() | D | 21 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Owen Lindmark ![]() | C | 23 | 0$ | RFA | |||||||
Philippe Daoust ![]() | C | 23 | 821,667$ | 821,667$ | RFA | ||||||
Rodwin Dionicio ![]() | D | 21 | 0$ | RFA | |||||||
Roman Schmidt ![]() | D | 22 | 828,333$ | 828,333$ | RFA | ||||||
Rory Kerins ![]() | C | 23 | 846,667$ | 846,667$ | RFA | ||||||
Ryan O'Rourke ![]() | D | 22 | 855,833$ | 855,833$ | RFA | ||||||
Sheldon Rempal ![]() | RW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Vitali Kravtsov ![]() | LW/RW | 25 | 0$ | ![]() | |||||||
Walker Duehr ![]() | RW | 27 | 825,000$ | 825,000$ | ![]() | ||||||
Wyatt Aamodt ![]() | D | 27 | 850,000$ | 850,000$ | ![]() | ||||||
Xavier Bourgeault ![]() | RW | 22 | 925,000$ | 925,000$ | 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 |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 25 | 9 | 3 | 13 | 0 | 33 | 12 | 19 | 31 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 11 | 23 | 47.83% | 21 | 41 | 51.22% | 8 | 17 | 47.06% | 20 | 13 | 26 | 7 | 13 | 6 | 37.5% | 12.0% | 84.8% | 96.8 | FUN | |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 25 | 9 | 3 | 13 | 0 | 33 | 12 | 19 | 31 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 11 | 23 | 47.83% | 21 | 41 | 51.22% | 8 | 17 | 47.06% | 20 | 13 | 26 | 7 | 13 | 6 | 37.5% | 12.0% | 84.8% | 96.8 | FUN | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 25 | 9 | 3 | 13 | 0 | 33 | 12 | 19 | 31 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 11 | 23 | 47.83% | 21 | 41 | 51.22% | 8 | 17 | 47.06% | 20 | 13 | 26 | 7 | 13 | 6 | 37.5% | 12.0% | 84.8% | 96.8 | FUN | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 25 | 9 | 3 | 13 | 0 | 33 | 12 | 19 | 31 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 11 | 23 | 47.83% | 21 | 41 | 51.22% | 8 | 17 | 47.06% | 20 | 13 | 26 | 7 | 13 | 6 | 37.5% | 12.0% | 84.8% | 96.8 | FUN | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 25 | 9 | 3 | 13 | 0 | 33 | 12 | 19 | 31 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 11 | 23 | 47.83% | 21 | 41 | 51.22% | 8 | 17 | 47.06% | 20 | 13 | 26 | 7 | 13 | 6 | 37.5% | 12.0% | 84.8% | 96.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 13 |
Defensive Zone | 26 |
Puck Time | |
---|---|
Offensive Zone Start | 23 |
Neutral Zone Start | 17 |
Defensive Zone Start | 41 |
Puck Time | |
---|---|
With Puck | 27 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 40 |
Faceoffs Lost | 41 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.0 | 9.57 |
2nd Period | 12.0 | 20.31 |
3rd Period | 25.0 | 30.68 |
Overtime | 25.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 3 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 3 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 25.0 |
Shots Against | 33.0 |
Goals For | 3.0 |
Goals Against | 5.0 |
Hits | 31.0 |
Shots Blocked | 12.0 |
Pim | 19.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-02 | @ | Wild3,Blues5 | RECAP | |||||||||||
2025-05-04 | @ | |||||||||||||
2025-05-06 | @ | |||||||||||||
2025-05-08 | @ | |||||||||||||
2025-05-10 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-12 | @ | |||||||||||||
2025-05-14 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,987,500$ | 0$ | 0$ | 12,500$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Xcel Energy Center | |
City | Minnesota | ||
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,987,500$ | 87,987,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 87,987,500$ | 83,878,254$ | 83,878,254$ |
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 |
---|---|---|---|---|---|---|---|---|
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Barrett Hall | 2022 | 152 | |||
Ben Merrill | 2024 | 185 | |||
Benjamin Gaudreau | 2021 | 44 | |||
Benton Maass | |||||
Chase Pietila | 2024 | 137 | |||
Gregor Bieber | 2024 | 116 | |||
Joe Miller | |||||
Niklas Nordgren | 7C | ||||
Noah Chadwick | 2023 | 191 | |||
Petr Hauser | 2022 | 136 | |||
Roman Shokhrin | 2024 | 201 | |||
Samuel Sjolund | 2019 | 122 | |||
Santeri Sulku | 2022 | 178 | |||
Sutter Muzzatti | 2023 | 167 |
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