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Full Scoreboard »» |
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Full Scoreboard »» |
Seattle Kraken 0-0-0, 0pts · 11th 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 | C/RW | 100.00 | 68 | 38 | 67 | 68 | 76 | 82 | 87 | 66 | 80 | 67 | 70 | 68 | 68 | 77 | 73 | 0 | 40 | 78 | 30 | 4,000,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 57 | 32 | 93 | 68 | 74 | 81 | 86 | 68 | 65 | 71 | 71 | 54 | 69 | 74 | 73 | 0 | 40 | 78 | 29 | 5,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 34 | 95 | 63 | 77 | 79 | 90 | 63 | 59 | 63 | 65 | 76 | 64 | 78 | 77 | 0 | 42 | 76 | 31 | 4,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 33 | 87 | 66 | 75 | 82 | 83 | 65 | 59 | 63 | 72 | 59 | 69 | 75 | 73 | 0 | 63 | 76 | 29 | 4,250,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 32 | 84 | 63 | 71 | 79 | 82 | 64 | 75 | 63 | 70 | 61 | 67 | 74 | 72 | 0 | 37 | 76 | 29 | 4,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 32 | 89 | 69 | 70 | 82 | 83 | 66 | 61 | 68 | 70 | 55 | 68 | 64 | 63 | 0 | 45 | 76 | 23 | 863,333$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 31 | 92 | 70 | 62 | 81 | 81 | 66 | 61 | 69 | 68 | 56 | 67 | 62 | 61 | 0 | 40 | 76 | 22 | 814,167$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 33 | 89 | 61 | 80 | 82 | 89 | 63 | 60 | 65 | 65 | 66 | 64 | 74 | 73 | 0 | 40 | 75 | 29 | 2,250,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 39 | 74 | 56 | 69 | 72 | 73 | 71 | 81 | 61 | 61 | 75 | 61 | 82 | 80 | 0 | 31 | 75 | 34 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 40 | 62 | 61 | 78 | 77 | 82 | 61 | 58 | 63 | 62 | 68 | 62 | 75 | 71 | 0 | 24 | 74 | 29 | 2,500,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 93 | 66 | 57 | 56 | 82 | 75 | 84 | 58 | 59 | 58 | 62 | 59 | 60 | 71 | 67 | 0 | 43 | 71 | 27 | 2,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 89 | 72 | 61 | 55 | 85 | 69 | 79 | 53 | 59 | 54 | 55 | 59 | 54 | 82 | 78 | 0 | 42 | 69 | 34 | 1,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 33 | 80 | 66 | 82 | 98 | 82 | 67 | 30 | 74 | 67 | 74 | 67 | 85 | 83 | 0 | 43 | 83 | 35 | 11,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 34 | 92 | 65 | 79 | 86 | 89 | 61 | 30 | 72 | 60 | 60 | 60 | 74 | 73 | 0 | 55 | 78 | 29 | 1,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 33 | 86 | 61 | 81 | 87 | 90 | 58 | 30 | 67 | 59 | 65 | 59 | 82 | 80 | 0 | 40 | 77 | 33 | 6,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 71 | 32 | 80 | 56 | 75 | 86 | 90 | 59 | 30 | 63 | 61 | 71 | 60 | 76 | 74 | 0 | 37 | 75 | 30 | 4,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 65 | 33 | 89 | 55 | 80 | 88 | 90 | 58 | 30 | 62 | 54 | 70 | 56 | 93 | 92 | 0 | 43 | 75 | 40 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 37 | 91 | 55 | 77 | 83 | 81 | 59 | 30 | 63 | 55 | 71 | 57 | 66 | 65 | 0 | 30 | 74 | 24 | 1,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 38 | 82 | 62 | 76 | 82 | 85 | 63 | 53 | 65 | 64 | 65 | 63 | 76 | 74 | 0 | 41 | 76 |
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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 95 | 82 | 87 | 88 | 79 | 89 | 93 | 89 | 93 | 89 | 73 | 78 | 0 | 36 | 91 | 28 | 3,150,000$/3yrs |
![]() | 0 | 100.00 | 75 | 80 | 74 | 76 | 76 | 68 | 79 | 88 | 75 | 89 | 79 | 74 | 78 | 0 | 46 | 82 | 29 | 3,400,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 88 | 78 | 82 | 82 | 74 | 84 | 91 | 82 | 91 | 84 | 74 | 78 | 0 | 41 | 87 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Hakstol | 85 | 84 | 85 | 92 | 77 | 71 | 67 | CAN | 54 | 5 | 1,000,000$ |
General Manager | Maxim Grimard |
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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 | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Kraken Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Alex Iafallo ![]() | C/LW | 31 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Andrei Kuzmenko ![]() | LW | 29 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Andrew Agozzino ![]() | C/LW | 34 | 775,000$ | 775,000$ | UFA | ||||||
Anthony Duclair ![]() | LW/RW | 29 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | ||
Connor Zary ![]() | C | 23 | 863,333$ | 863,333$ | RFA | ||||||
Darren Raddysh ![]() | D | 29 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
Dmitry Orlov ![]() | D | 33 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Drew Doughty ![]() | D | 35 | 11,000,000$ | 11,000,000$ | 11,000,000$ | UFA | |||||
Logan Stankoven ![]() | C | 22 | 814,167$ | 814,167$ | 814,167$ | RFA | |||||
Mason Appleton ![]() | C/RW | 29 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Miles Wood ![]() | LW/RW | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||
Nicolas Deslauriers ![]() | LW/RW | 34 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Robby Fabbri ![]() | C/LW | 29 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Ryan Hartman ![]() | C/RW | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Ryan Suter ![]() | D | 40 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Sam Montembeault ![]() | G | 28 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||||
Sean Walker ![]() | D | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Tanner Jeannot ![]() | LW/RW | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Ty Emberson ![]() | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Vitek Vanecek | G | 29 | 3,400,000$ | 3,400,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman ![]() | LW | 23 | 900,000$ | 900,000$ | RFA | ||||||
Aidan Dudas ![]() | LW | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Ben Meyers ![]() | C | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Brendan Gaunce ![]() | C/LW | 31 | 775,000$ | 775,000$ | UFA | ||||||
Cameron Hebig ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Colin Theisen ![]() | LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Drew Callin ![]() | RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Dylan Garand ![]() | G | 22 | 828,333$ | 828,333$ | RFA | ||||||
Ethan Samson ![]() | D | 21 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Hudson Elynuik ![]() | C | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Ivan Fedotov ![]() | G | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Jared McIsaac ![]() | D | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Jimmy Schuldt ![]() | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Jon-Randall Avon ![]() | C | 21 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Josef Korenar ![]() | G | 27 | 0$ | ![]() | |||||||
Josh Mahura ![]() | D | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Maksymilian Szuber ![]() | D | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Martin Chromiak ![]() | RW | 22 | 820,000$ | 820,000$ | RFA | ||||||
Mason Geertsen ![]() | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Matt Filipe ![]() | C/LW | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Mike Hardman ![]() | LW/RW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Nils Lundkvist ![]() | D | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Ondrej Becher ![]() | C | 21 | 0$ | RFA | |||||||
Oskar Steen ![]() | C/RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Patrick Khodorenko ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Peter Abbandonato ![]() | C | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Ruslan Khazheyev ![]() | G | 20 | 0$ | RFA | |||||||
Samuel Fagemo ![]() | LW | 25 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Simon Ryfors ![]() | C | 27 | 0$ | ![]() | |||||||
Stian Solberg ![]() | D | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Tarmo Reunanen ![]() | D | 27 | 0$ | ![]() | |||||||
Taylor Gauthier ![]() | G | 24 | 859,167$ | 859,167$ | RFA | ||||||
Tyler Madden ![]() | C | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Tyler Pitlick ![]() | LW/RW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Wyatte Wylie ![]() | D | 25 | 825,000$ | 825,000$ | ![]() | ||||||
Xavier Bernard ![]() | D | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Zach Senyshyn ![]() | RW | 28 | 0$ | UFA |
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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 |
67,502,500$ | 0$ | 0$ | 20,497,500$ |
Arena | Goal Horn | About us | |
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![]() | Name | Climate Pledge Arena | |
City | Seattle | ||
Capacity | 21500 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 7000 | 6000 | 2500 | 5000 | 1000 |
Ticket Price | 200$ | 110$ | 70$ | 50$ | 500$ |
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$ | 21500 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
67,502,500$ | 67,502,500$ | 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$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 67,502,500$ | 46,209,432$ | 46,209,432$ |
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 |
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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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Aaron Pionk | 2023 | 169 | |||
Aku Koskenvuo | 2021 | 131 | |||
Brandon Svoboda | 2023 | 92 | |||
Cal Thomas | 2021 | 195 | |||
Cameron O'Neill | 2022 | 160 | |||
Cole Knuble | 2023 | 111 | |||
EJ Emery | 2024 | 52 | |||
Emmett Croteau | 2022 | 141 | |||
Ilya Safonov | 2021 | 159 | |||
Isaac Howard | 2022 | 19 | |||
Jack Bar | 2021 | 125 | |||
Jake Richard | 2022 | 177 | |||
Kasper Simontaival | 2020 | 45 | |||
Luke Mittelstadt | 2023 | 141 | |||
Milton Oscarson | 2023 | 156 | |||
Owen Allard | 2024 | 94 | |||
Owen Mehlenbacher | 2022 | 170 | |||
Ryan Chesley | 2022 | 36 | |||
Samu Bau | 2023 | 154 | |||
Taylor Makar | 2021 | 174 | |||
Veeti Vaisanen | 2024 | 58 | |||
Vojtech Port | 2023 | 187 | |||
William Zellers | 2024 | 91 |