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Full Scoreboard »» |
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Full Scoreboard »» |
Minnesota Wild 0-0-0, 0pts · 12th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Shane Pinto | 0 | C | 100.00 | 67 | 33 | 95 | 84 | 81 | 85 | 72 | 79 | 83 | 82 | 79 | 81 | 79 | 65 | 64 | 0 | 31 | 90 | 23 | 775,000$/1yrs | |||
Lawson Crouse | 0 | LW/RW | 100.00 | 82 | 38 | 84 | 78 | 87 | 85 | 89 | 75 | 60 | 72 | 81 | 86 | 78 | 70 | 69 | 0 | 30 | 89 | 26 | 2,750,000$/5yrs | |||
Yegor Sharangovich | 0 | C/LW | 100.00 | 54 | 33 | 96 | 81 | 78 | 84 | 90 | 77 | 62 | 76 | 83 | 76 | 80 | 69 | 68 | 0 | 53 | 88 | 25 | 2,600,000$/2yrs | |||
Brayden Schenn | 0 | C/LW/RW | 100.00 | 77 | 42 | 78 | 75 | 78 | 85 | 90 | 76 | 82 | 80 | 76 | 72 | 76 | 80 | 90 | 0 | 30 | 87 | 32 | 6,500,000$/5yrs | |||
Chandler Stephenson | 0 | C/LW | 100.00 | 65 | 35 | 86 | 76 | 80 | 87 | 90 | 77 | 88 | 83 | 72 | 80 | 75 | 76 | 74 | 0 | 61 | 87 | 30 | 2,750,000$/1yrs | |||
Jaden Schwartz | 0 | LW | 100.00 | 65 | 32 | 88 | 78 | 70 | 84 | 81 | 77 | 80 | 75 | 81 | 68 | 79 | 79 | 88 | 0 | 53 | 87 | 31 | 6,000,000$/3yrs | |||
Joel Farabee | 0 | LW/RW | 100.00 | 61 | 32 | 89 | 83 | 72 | 81 | 90 | 78 | 60 | 80 | 79 | 71 | 79 | 65 | 64 | 0 | 57 | 87 | 24 | 5,000,000$/5yrs | |||
Lucas Raymond | 0 | LW/RW | 100.00 | 64 | 32 | 87 | 81 | 68 | 85 | 90 | 80 | 58 | 82 | 77 | 62 | 79 | 62 | 80 | 0 | 53 | 87 | 22 | 925,000$/1yrs | |||
Anthony Mantha | 0 | LW/RW | 100.00 | 61 | 34 | 95 | 77 | 95 | 78 | 88 | 74 | 58 | 71 | 81 | 62 | 78 | 75 | 74 | 0 | 60 | 85 | 29 | 3,500,000$/4yrs | |||
Michael Rasmussen | 0 | C/LW | 100.00 | 76 | 39 | 74 | 71 | 88 | 81 | 85 | 74 | 77 | 74 | 72 | 84 | 73 | 67 | 64 | 0 | 53 | 85 | 25 | 1,460,000$/1yrs | |||
Michael Bunting | 0 | LW/RW | 100.00 | 57 | 39 | 66 | 79 | 75 | 80 | 90 | 77 | 59 | 81 | 75 | 60 | 76 | 73 | 69 | 0 | 49 | 85 | 28 | 4,000,000$/4yrs | |||
Yegor Chinakhov | 0 | LW/RW | 100.00 | 66 | 33 | 92 | 79 | 80 | 80 | 86 | 76 | 55 | 72 | 81 | 72 | 78 | 64 | 63 | 0 | 46 | 85 | 23 | 925,000$/1yrs | |||
Jonas Brodin | 0 | D | 100.00 | 63 | 33 | 87 | 65 | 78 | 94 | 84 | 72 | 30 | 71 | 61 | 91 | 67 | 77 | 75 | 0 | 33 | 86 | 30 | 5,500,000$/3yrs | |||
Samuel Girard | 0 | D | 100.00 | 71 | 32 | 96 | 68 | 65 | 89 | 79 | 72 | 30 | 72 | 61 | 92 | 67 | 68 | 68 | 0 | 44 | 86 | 25 | 4,500,000$/1yrs | |||
Andrew Peeke | 0 | D | 100.00 | 81 | 33 | 90 | 61 | 84 | 90 | 86 | 69 | 30 | 66 | 63 | 92 | 66 | 69 | 68 | 0 | 56 | 85 | 26 | 2,750,000$/3yrs | |||
Dmitry Kulikov | 0 | D | 100.00 | 73 | 33 | 79 | 65 | 79 | 87 | 87 | 68 | 30 | 71 | 59 | 84 | 64 | 81 | 79 | 0 | 43 | 84 | 33 | 2,000,000$/2yrs | |||
Cody Ceci | 0 | D | 100.00 | 73 | 33 | 90 | 63 | 83 | 89 | 90 | 68 | 30 | 70 | 55 | 81 | 61 | 76 | 75 | 0 | 38 | 83 | 30 | 3,750,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Luke Kunin | 0 | C/LW/RW | 100.00 | 76 | 53 | 64 | 70 | 76 | 81 | 78 | 70 | 71 | 68 | 71 | 83 | 70 | 69 | 65 | 0 | 21 | 83 | 26 | 2,750,000$/1yrs | |||
Josh Morrissey | 0 | D | 100.00 | 68 | 35 | 79 | 84 | 76 | 96 | 90 | 76 | 30 | 89 | 75 | 73 | 76 | 74 | 82 | 0 | 34 | 93 | 29 | 6,250,000$/5yrs | |||
Connor Murphy | 0 | D | 100.00 | 80 | 49 | 68 | 57 | 86 | 88 | 90 | 65 | 30 | 63 | 64 | 88 | 65 | 77 | 83 | 0 | 22 | 82 | 31 | 4,400,000$/3yrs | |||
TEAM AVERAGE | 100.00 | 69 | 36 | 84 | 74 | 79 | 85 | 86 | 74 | 55 | 75 | 72 | 78 | 73 | 72 | 73 | 0 | 43 | 86 |
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 ) |
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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. |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thatcher Demko | 0 | 100.00 | 87 | 95 | 83 | 80 | 93 | 82 | 93 | 96 | 92 | 96 | 93 | 73 | 78 | 0 | 24 | 93 | 28 | 5,000,000$/3yrs |
Ilya Samsonov | 0 | 100.00 | 73 | 87 | 77 | 87 | 87 | 85 | 87 | 90 | 91 | 90 | 87 | 71 | 75 | 0 | 28 | 89 | 27 | 4,500,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 80 | 91 | 80 | 84 | 90 | 84 | 90 | 93 | 92 | 93 | 90 | 72 | 77 | 0 | 26 | 91 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Boudreau | 78 | 69 | 90 | 83 | 99 | 92 | 74 | CAN | 67 | 1 | 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 |
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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 |
# | 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 | 83,500,000$ |
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 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
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Andrew Peeke | D | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Anthony Mantha | LW/RW | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Brayden Schenn | C/LW/RW | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||
Chandler Stephenson | C/LW | 30 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Cody Ceci | D | 30 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||||
Connor Murphy | D | 31 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | ||||
Dmitry Kulikov | D | 33 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Ilya Samsonov | G | 27 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Jaden Schwartz | LW | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Joel Farabee | LW/RW | 24 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Jonas Brodin | D | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Josh Morrissey | D | 29 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||
Lawson Crouse | LW/RW | 26 | 2,750,000$ | 2,750,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | ||
Lucas Raymond | LW/RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Luke Kunin | C/LW/RW | 26 | 2,750,000$ | 2,750,000$ | RFA | ||||||
Michael Bunting | LW/RW | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Michael Rasmussen | C/LW | 25 | 1,460,000$ | 1,460,000$ | RFA | ||||||
Samuel Girard | D | 25 | 4,500,000$ | 4,500,000$ | RFA | ||||||
Shane Pinto | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Thatcher Demko | G | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Yegor Chinakhov | LW/RW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Yegor Sharangovich | C/LW | 25 | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Turcotte | C | 23 | 894,167$ | 894,167$ | RFA | ||||||
Anttoni Honka | D | 23 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Brady Keeper | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
Connor Carrick | D | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Cooper Marody | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Daniil Chayka | D | 21 | 870,000$ | 870,000$ | RFA | ||||||
Dylan Guenther | RW | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Evan Nause | D | 21 | 886,667$ | 886,667$ | 886,667$ | RFA | |||||
Grigori Denisenko | LW/RW | 23 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Henri Nikkanen | C | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Ivan Prosvetov | G | 25 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Jake Wise | C | 24 | 0$ | RFA | |||||||
Jimmy Schuldt | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Josh Bloom | LW | 20 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Klim Kostin | C | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Lucas Condotta | LW | 27 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Magnus Chrona | G | 23 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Malcolm Subban | G | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Marian Studenic | LW/RW | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Mitch Reinke | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Nikita Novikov | D | 20 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Philippe Daoust | C | 22 | 821,667$ | 821,667$ | 821,667$ | RFA | |||||
Pierre-Olivier Joseph | D | 24 | 825,000$ | 825,000$ | RFA | ||||||
Rasmus Kupari | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Roman Schmidt | D | 21 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Rory Kerins | C | 22 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Ryan O'Rourke | D | 21 | 855,833$ | 855,833$ | 855,833$ | RFA | |||||
Sheldon Rempal | RW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Vitali Kravtsov | LW/RW | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Walker Duehr | RW | 26 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Wyatt Aamodt | D | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Zac Jones | D | 23 | 812,500$ | 812,500$ | 812,500$ | RFA |
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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 |
# | 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 | |
---|---|---|
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 | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,585,000$ | 0$ | 0$ | 4,915,000$ |
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 - % | |||||
---|---|---|---|---|---|
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 |
78,585,000$ | 78,585,000$ | 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$ | 9 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 78,585,000$ | 110,474,700$ | 110,474,700$ |
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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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2024 | ||||||||
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 |
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 | Wild | 2022 | 152 | ||
Benjamin Gaudreau | Wild | 2021 | 44 | ||
Benton Maass | Wild | ||||
Charles-Alexis Legault | Wild | 2023 | 157 | ||
Joe Miller | Wild | ||||
Niklas Nordgren | Wild | 7C | |||
Noah Chadwick | Wild | 2023 | 191 | ||
Owen Lindmark | Wild | 2019 | 157 | 5.0 - 4.0 | |
Petr Hauser | Wild | 2022 | 136 | ||
Rasmus Kumpulainen | Wild | 2023 | 57 | ||
Rodwin Dionicio | Wild | 2023 | 143 | ||
Samuel Sjolund | Wild | 2019 | 122 | ||
Santeri Sulku | Wild | 2022 | 178 | ||
Sutter Muzzatti | Wild | 2023 | 167 |