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Minnesota Wild 0-0-0, 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 | 60 | 87 | 30 | ||||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 89 | 80 | 68 | 86 | 90 | 77 | 58 | 80 | 78 | 59 | 77 | 64 | 63 | 0 | 78 | 85 | 23 | 7,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 33 | 82 | 72 | 82 | 88 | 89 | 76 | 59 | 67 | 87 | 56 | 82 | 81 | 79 | 0 | 78 | 84 | 33 | 6,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 36 | 86 | 77 | 65 | 86 | 90 | 75 | 60 | 74 | 80 | 59 | 78 | 71 | 70 | 0 | 77 | 83 | 27 | ||||
![]() | 0 | C/LW/RW | 100.00 | 81 | 47 | 75 | 68 | 78 | 85 | 90 | 68 | 84 | 71 | 70 | 70 | 69 | 82 | 88 | 0 | 78 | 81 | 33 | 6,500,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 35 | 88 | 70 | 80 | 88 | 89 | 70 | 88 | 76 | 67 | 75 | 69 | 78 | 76 | 0 | 78 | 81 | 31 | 5,500,000$/5yrs | |||
![]() | 0 | C | 100.00 | 68 | 33 | 87 | 73 | 81 | 85 | 82 | 68 | 84 | 69 | 72 | 76 | 70 | 66 | 65 | 0 | 78 | 80 | 24 | 6,000,000$/7yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 41 | 84 | 67 | 87 | 81 | 90 | 63 | 59 | 61 | 69 | 74 | 66 | 72 | 70 | 0 | 79 | 78 | 27 | 4,300,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 32 | 91 | 62 | 72 | 83 | 90 | 63 | 80 | 68 | 64 | 79 | 64 | 77 | 76 | 0 | 63 | 77 | 30 | 3,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 33 | 92 | 68 | 78 | 76 | 81 | 65 | 60 | 67 | 67 | 53 | 66 | 72 | 71 | 0 | 78 | 76 | 28 | ||||
![]() | 0 | C/LW | 100.00 | 68 | 32 | 96 | 65 | 67 | 81 | 86 | 64 | 79 | 65 | 65 | 74 | 65 | 69 | 69 | 0 | 78 | 76 | 26 | ||||
![]() | 0 | C/LW/RW | 100.00 | 68 | 32 | 89 | 59 | 75 | 80 | 76 | 65 | 61 | 65 | 65 | 64 | 65 | 82 | 80 | 0 | 59 | 75 | 33 | 2,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 32 | 85 | 77 | 72 | 97 | 90 | 71 | 30 | 83 | 66 | 67 | 68 | 76 | 74 | 0 | 67 | 86 | 30 | 6,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 60 | 33 | 89 | 63 | 78 | 95 | 82 | 66 | 30 | 69 | 61 | 81 | 64 | 79 | 78 | 0 | 78 | 81 | 31 | 5,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 33 | 91 | 58 | 83 | 90 | 90 | 63 | 30 | 66 | 57 | 76 | 60 | 78 | 77 | 0 | 75 | 78 | 31 | 3,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 32 | 93 | 63 | 65 | 90 | 85 | 61 | 30 | 67 | 56 | 74 | 59 | 70 | 69 | 0 | 78 | 77 | 27 | 5,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 77 | 35 | 78 | 55 | 79 | 86 | 88 | 58 | 30 | 63 | 55 | 71 | 56 | 83 | 81 | 0 | 73 | 75 | 34 | ||||
![]() | 0 | D | 100.00 | 76 | 36 | 91 | 57 | 84 | 86 | 83 | 58 | 30 | 64 | 53 | 72 | 56 | 70 | 69 | 0 | 77 | 75 | 27 | 2,750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 84 | 45 | 69 | 59 | 86 | 74 | 79 | 58 | 59 | 60 | 61 | 58 | 59 | 68 | 65 | 0 | 19 | 71 | 26 | 1,300,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 32 | 85 | 60 | 68 | 83 | 77 | 56 | 30 | 64 | 56 | 59 | 56 | 65 | 64 | 0 | 20 | 72 | 24 | ||||
TEAM AVERAGE | 100.00 | 69 | 35 | 86 | 67 | 77 | 86 | 85 | 66 | 55 | 69 | 67 | 68 | 67 | 74 | 73 | 0 | 69 | 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 | 100.00 | 83 | 86 | 77 | 80 | 88 | 79 | 88 | 90 | 87 | 90 | 88 | 75 | 79 | 0 | 48 | 88 | 29 | 5,000,000$/1yrs |
![]() | 0 | 100.00 | 66 | 71 | 70 | 74 | 74 | 67 | 77 | 85 | 78 | 83 | 77 | 64 | 68 | 0 | 78 | 79 | 23 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 75 | 79 | 74 | 77 | 81 | 73 | 83 | 88 | 83 | 87 | 83 | 70 | 74 | 0 | 63 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Boudreau | 78 | 69 | 90 | 83 | 99 | 92 | 74 | CAN | 69 | 4 | 1,000,000$ |
General Manager | Philippe Shaugnessy |
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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 |
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 |
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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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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 | 15 |
LTIR Players | 0 |
Wild Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex DeBrincat ![]() | C/LW/RW | 27 | 0$ | ||||||||
Alexander Kerfoot ![]() | C/LW | 30 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Andrew Peeke ![]() | D | 27 | 2,750,000$ | 2,750,000$ | |||||||
Brayden Schenn ![]() | C/LW/RW | 33 | 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$ | UFA | ||||||
Chandler Stephenson ![]() | C/LW | 31 | 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$ | UFA | ||||||
Daniel Sprong ![]() | LW/RW | 28 | 0$ | UFA | |||||||
Devon Levi ![]() | G | 23 | 0$ | RFA | |||||||
Dmitry Kulikov ![]() | D | 34 | 0$ | UFA | |||||||
Jonas Brodin ![]() | D | 31 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Josh Morrissey ![]() | D | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||||
Klim Kostin ![]() | C | 26 | 1,300,000$ | 1,300,000$ | |||||||
Lawson Crouse ![]() | LW/RW | 27 | 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$ | |||||
Noah Cates ![]() | C/LW | 26 | 0$ | ||||||||
Samuel Girard ![]() | D | 27 | 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$ | UFA |
Thatcher Demko | G | 29 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Valeri Nichushkin ![]() | LW/RW | 30 | 0$ | UFA | |||||||
Zac Jones ![]() | D | 24 | 0$ | RFA | |||||||
Zach Hyman ![]() | LW/RW | 33 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
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Alexander Holtz ![]() | LW/RW | 23 | 0$ | RFA | |||||||
Anton Wahlberg ![]() | C | 19 | 896,667$ | 896,667$ | RFA | ||||||
Anttoni Honka ![]() | D | 24 | 0$ | RFA | |||||||
Charles-Alexis Legault ![]() | D | 21 | 0$ | RFA | |||||||
Chase de Leo ![]() | C | 29 | 800,000$ | 800,000$ | UFA | ||||||
Christoffer Sedoff ![]() | D | 23 | 0$ | RFA | |||||||
Cooper Marody ![]() | C | 28 | 0$ | UFA | |||||||
Daniil Chayka ![]() | D | 22 | 825,000$ | 825,000$ | RFA | ||||||
David Tendeck ![]() | G | 25 | 0$ | ![]() | |||||||
Evan Nause ![]() | D | 22 | 0$ | RFA | |||||||
Grigori Denisenko ![]() | LW/RW | 24 | 0$ | ![]() | |||||||
Henri Nikkanen ![]() | C | 24 | 0$ | RFA | |||||||
Henry Rybinski ![]() | RW | 23 | 0$ | RFA | |||||||
Ivan Prosvetov ![]() | G | 26 | 0$ | ![]() | |||||||
Jake Wise ![]() | C | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Josh Bloom ![]() | LW | 22 | 0$ | RFA | |||||||
Lucas Condotta ![]() | LW | 28 | 0$ | UFA | |||||||
Magnus Chrona ![]() | G | 24 | 0$ | RFA | |||||||
Marian Studenic ![]() | LW/RW | 26 | 1,250,000$ | 1,250,000$ | ![]() | ||||||
Nikita Novikov ![]() | D | 21 | 867,500$ | 867,500$ | RFA | ||||||
Owen Lindmark ![]() | C | 24 | 0$ | RFA | |||||||
Philippe Daoust ![]() | C | 24 | 0$ | RFA | |||||||
Rodwin Dionicio ![]() | D | 21 | 0$ | RFA | |||||||
Roman Schmidt ![]() | D | 22 | 0$ | RFA | |||||||
Rory Kerins ![]() | C | 23 | 0$ | RFA | |||||||
Ryan O'Rourke ![]() | D | 23 | 0$ | RFA | |||||||
Sheldon Rempal ![]() | RW | 29 | 800,000$ | 800,000$ | UFA | ||||||
Vitali Kravtsov ![]() | LW/RW | 25 | 0$ | ![]() | |||||||
Walker Duehr ![]() | RW | 27 | 0$ | ![]() | |||||||
Wyatt Aamodt ![]() | D | 27 | 0$ | ![]() | |||||||
Xavier Bourgeault ![]() | RW | 22 | 0$ | RFA |
Forward Lines | |||||||
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Goalies | |||||||
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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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Total | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
70,450,000$ | 0$ | 0$ | 17,550,000$ |
Arena | Goal Horn | About us | |
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![]() | 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 | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
70,450,000$ | 70,450,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 70,450,000$ | 87,180,254$ | 87,180,254$ |
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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 | ||||||||
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 |
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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 |