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Full Scoreboard »» |
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Full Scoreboard »» |
| Seattle Kraken 0-0-0, 0pts · 14th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tyler Toffoli | 0 | LW/RW | 100.00 | 63 | 33 | 94 | 71 | 78 | 81 | 89 | 69 | 59 | 70 | 75 | 56 | 72 | 82 | 82 | 0 | 28 | 81 | 34 | 5,000,000$/3yrs | |||
Chris Kreider | 0 | LW/RW | 100.00 | 68 | 34 | 86 | 69 | 91 | 83 | 87 | 66 | 59 | 66 | 75 | 64 | 71 | 84 | 83 | 0 | 31 | 80 | 35 | 6,750,000$/2yrs | |||
Ryan Hartman | 0 | C/RW | 100.00 | 67 | 41 | 73 | 66 | 76 | 81 | 88 | 64 | 81 | 65 | 70 | 65 | 67 | 78 | 76 | 0 | 34 | 77 | 31 | 4,000,000$/2yrs | |||
Andre Burakovsky | 0 | LW/RW | 100.00 | 58 | 33 | 93 | 63 | 84 | 80 | 89 | 63 | 59 | 69 | 63 | 55 | 63 | 77 | 77 | 0 | 28 | 75 | 31 | 5,750,000$/3yrs | |||
Jonathan Toews | 0 | C | 100.00 | 56 | 33 | 84 | 58 | 80 | 79 | 78 | 59 | 89 | 65 | 63 | 55 | 61 | 89 | 87 | 0 | 24 | 73 | 38 | 3,750,000$/1yrs | |||
Mark Jankowski | 0 | C/LW | 100.00 | 62 | 36 | 86 | 58 | 86 | 74 | 85 | 59 | 81 | 59 | 67 | 68 | 63 | 78 | 77 | 0 | 35 | 73 | 31 | 1,300,000$/2yrs | |||
Philip Tomasino | 0 | C/LW/RW | 100.00 | 69 | 32 | 95 | 63 | 70 | 76 | 76 | 61 | 59 | 63 | 65 | 56 | 63 | 66 | 65 | 0 | 34 | 73 | 24 | 1,850,000$/1yrs | |||
Sam Colangelo (R) | 0 | RW | 100.00 | 78 | 33 | 94 | 64 | 81 | 75 | 71 | 59 | 58 | 55 | 72 | 55 | 66 | 65 | 65 | 0 | 35 | 73 | 24 | 3,000,000$/3yrs | |||
Otto Stenberg (R) | 0 | C/LW/RW | 100.00 | 74 | 40 | 94 | 63 | 70 | 77 | 70 | 59 | 58 | 64 | 60 | 66 | 60 | 59 | 59 | 0 | 71 | 73 | 20 | 918,333$/3yrs | |||
Mason Appleton | 0 | C/RW | 100.00 | 71 | 33 | 83 | 57 | 80 | 78 | 86 | 59 | 59 | 61 | 62 | 62 | 61 | 76 | 74 | 0 | 26 | 72 | 30 | 2,250,000$/1yrs | |||
Miles Wood | 0 | LW/RW | 100.00 | 71 | 38 | 72 | 58 | 78 | 74 | 79 | 57 | 58 | 59 | 63 | 60 | 60 | 76 | 73 | 0 | 23 | 71 | 30 | 2,500,000$/4yrs | |||
Nicolas Deslauriers | 0 | LW/RW | 100.00 | 92 | 70 | 71 | 55 | 85 | 68 | 75 | 52 | 60 | 55 | 55 | 58 | 53 | 84 | 81 | 0 | 18 | 69 | 35 | 1,750,000$/1yrs | |||
Mattias Ekholm | 0 | D | 100.00 | 64 | 34 | 85 | 65 | 87 | 90 | 88 | 63 | 30 | 73 | 62 | 73 | 63 | 86 | 84 | 0 | 19 | 81 | 35 | 7,000,000$/5yrs | |||
Tony DeAngelo | 0 | D | 100.00 | 60 | 34 | 83 | 68 | 70 | 89 | 82 | 58 | 30 | 73 | 60 | 58 | 59 | 76 | 74 | 0 | 43 | 78 | 30 | 3,250,000$/2yrs | |||
Nick Blankenburg | 0 | D | 100.00 | 67 | 32 | 90 | 58 | 66 | 85 | 84 | 58 | 30 | 65 | 61 | 67 | 59 | 72 | 71 | 0 | 52 | 75 | 27 | 800,000$/1yrs | |||
Derek Forbort | 0 | D | 100.00 | 70 | 47 | 71 | 55 | 85 | 83 | 74 | 55 | 30 | 61 | 55 | 71 | 55 | 82 | 79 | 0 | 29 | 73 | 34 | 2,750,000$/2yrs | |||
Simon Benoit | 0 | D | 100.00 | 85 | 40 | 77 | 55 | 82 | 83 | 88 | 54 | 30 | 58 | 52 | 73 | 53 | 71 | 69 | 0 | 32 | 72 | 27 | 1,200,000$/1yrs | |||
Maveric Lamoureux (R) | 0 | D | 100.00 | 73 | 58 | 50 | 58 | 83 | 81 | 68 | 51 | 30 | 61 | 57 | 61 | 54 | 61 | 56 | 0 | 17 | 70 | 22 | 876,667$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jett Luchanko (R) | 0 | C | 100.00 | 65 | 39 | 82 | 57 | 71 | 61 | 90 | 52 | 66 | 55 | 53 | 58 | 54 | 52 | 50 | 0 | 20 | 65 | 19 | 942,500$/3yrs | |||
Tanner Molendyk (R) | 0 | D | 100.00 | 60 | 38 | 91 | 54 | 71 | 63 | 71 | 51 | 30 | 59 | 51 | 60 | 55 | 54 | 53 | 0 | 19 | 67 | 21 | 886,666$/3yrs | |||
| TEAM AVERAGE | 100.00 | 69 | 39 | 83 | 61 | 79 | 78 | 81 | 58 | 53 | 63 | 62 | 62 | 61 | 73 | 72 | 0 | 31 | 74 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sam Montembeault | 0 | 100.00 | 84 | 95 | 82 | 87 | 85 | 79 | 87 | 91 | 88 | 90 | 87 | 74 | 79 | 0 | 27 | 90 | 29 | 3,150,000$/2yrs |
Jonathan Quick | 0 | 100.00 | 72 | 76 | 72 | 87 | 81 | 73 | 82 | 87 | 82 | 87 | 82 | 92 | 96 | 0 | 39 | 85 | 40 | 2,500,000$/1yrs |
| Scratches | ||||||||||||||||||||
Ivan Fedotov | 0 | 100.00 | 62 | 72 | 71 | 80 | 72 | 70 | 74 | 81 | 76 | 83 | 74 | 73 | 77 | 0 | 61 | 79 | 29 | 3,500,000$/3yrs |
| TEAM AVERAGE | 100.00 | 73 | 81 | 75 | 85 | 79 | 74 | 81 | 86 | 82 | 87 | 81 | 80 | 84 | 0 | 42 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dave Hakstol | 85 | 84 | 85 | 92 | 77 | 71 | 67 | CAN | 55 | 4 | 1,000,000$ |
| General Manager | Maxim Grimard |
|---|
| 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 |
|---|
| 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 |
|---|
| Projected Total Cap Hit | 0$ |
| Projected Cap Space | 95,500,000$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 0$ |
| Players In Salary Cap | 23 |
| LTIR Players | 0 |
| Kraken Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Andre Burakovsky ![]() | LW/RW | 31 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||||
Chris Kreider ![]() | LW/RW | 35 | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | |||||
Derek Forbort ![]() | D | 34 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Ivan Fedotov ![]() | G | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Jett Luchanko | C | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | |||||
| Jonathan Quick | G | 40 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Jonathan Toews ![]() | C | 38 | 3,750,000$ | 3,750,000$ | UFA | ||||||
Mark Jankowski ![]() | C/LW | 31 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Mason Appleton ![]() | C/RW | 30 | 2,250,000$ | 2,250,000$ | UFA | ||||||
Mattias Ekholm ![]() | D | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Maveric Lamoureux | D | 22 | 876,667$ | 876,667$ | 876,667$ | RFA | |||||
Miles Wood ![]() | LW/RW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Nick Blankenburg | D | 27 | 800,000$ | 800,000$ | |||||||
Nicolas Deslauriers ![]() | LW/RW | 35 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Otto Stenberg | C/LW/RW | 20 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Philip Tomasino ![]() | C/LW/RW | 24 | 1,850,000$ | 1,850,000$ | RFA | ||||||
Ryan Hartman ![]() | C/RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Sam Colangelo ![]() | RW | 24 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Sam Montembeault ![]() | G | 29 | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||||
Simon Benoit | D | 27 | 1,200,000$ | 1,200,000$ | |||||||
Tanner Molendyk | D | 21 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
Tony DeAngelo ![]() | D | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Tyler Toffoli ![]() | LW/RW | 34 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Aidan Dudas | LW | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Ben Meyers | C | 27 | 800,000$ | 800,000$ | |||||||
Brennan Othmann | LW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Coulson Pitre | C/RW | 21 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Dylan Garand | G | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Ethan Samson | D | 22 | 846,667$ | 846,667$ | RFA | ||||||
Isaac Howard | LW/RW | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Jake Furlong | D | 22 | 870,833$ | 870,833$ | RFA | ||||||
Jared McIsaac | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Jon-Randall Avon | C | 22 | 800,000$ | 800,000$ | RFA | ||||||
Maksymilian Szuber | D | 23 | 859,167$ | 859,167$ | RFA | ||||||
Martin Chromiak | RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Mikael Pyyhtia | LW | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Mike Hardman | LW/RW | 27 | 800,000$ | 800,000$ | |||||||
Ondrej Becher | C | 22 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Oskar Steen | C/RW | 28 | 800,000$ | 800,000$ | |||||||
Owen Allard | C/LW | 22 | 869,167$ | 869,167$ | 869,167$ | 869,167$ | RFA | ||||
Patrick Bajkov | LW/RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ruslan Khazheyev | G | 21 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Ryan Chesley | D | 22 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
Samuel Fagemo | LW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Stanislav Svozil | D | 23 | 825,000$ | 825,000$ | RFA | ||||||
Stian Solberg | D | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Tarmo Reunanen | D | 28 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Taylor Gauthier | G | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Tobie Bisson | D | 29 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Topi Niemela | D | 24 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ty Pelton-Byce | C | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tyler Madden | C | 26 | 950,000$ | 950,000$ | 950,000$ | ||||||
Wyatte Wylie | D | 26 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Xavier Bernard | D | 25 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Xavier Simoneau | C/LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Zachary L'Heureux | LW | 22 | 863,334$ | 863,334$ | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | |
|---|---|
| Offensive Zone | NAN |
| Neutral Zone | NAN |
| Defensive Zone | NAN |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | NAN |
| Without Puck | NAN |
| Faceoffs | |
|---|---|
| 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 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 0 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 0 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | nan |
| Shots Against | nan |
| Goals For | nan |
| Goals Against | nan |
| Hits | nan |
| Shots Blocked | nan |
| Pim | nan |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 65,674,166$ | 0$ | 0$ | 29,825,834$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| 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 | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 65,674,166$ | 65,674,166$ | 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$ | 13 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 65,674,166$ | 35,939,612$ | 35,939,612$ |
Rookie
Injured
Cold Streak
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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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| 2026 | ||||||||
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| 2028 | ||||||||
| 2029 | ||||||||
| 2030 |
| 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 |
|---|---|---|---|---|---|
| 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 | |||
| Jack Bar | 2021 | 125 | |||
| Jake Richard | 2022 | 177 | |||
| Kasper Simontaival | 2020 | 45 | |||
| L.J. Mooney | 2025 | 85 | |||
| Luca Romano | 2025 | 57 | |||
| Luke Mittelstadt | 2023 | 141 | |||
| Milton Oscarson | 2023 | 156 | |||
| Owen Mehlenbacher | 2022 | 170 | |||
| Samu Bau | 2023 | 154 | |||
| Veeti Vaisanen | 2024 | 58 | |||
| Vojtech Port | 2023 | 187 | |||
| William Zellers | 2024 | 91 |

