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Full Scoreboard »» |
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Full Scoreboard »» |
Vegas Golden Knights 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 61 | 33 | 92 | 77 | 79 | 85 | 84 | 79 | 84 | 86 | 74 | 68 | 76 | 84 | 99 | 0 | 31 | 88 | 34 | 9,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 33 | 96 | 72 | 79 | 84 | 88 | 71 | 60 | 80 | 70 | 69 | 70 | 80 | 89 | 0 | 31 | 83 | 32 | 5,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 32 | 88 | 74 | 72 | 82 | 87 | 73 | 61 | 76 | 76 | 63 | 74 | 80 | 79 | 0 | 31 | 83 | 32 | 4,500,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 76 | 36 | 86 | 72 | 86 | 80 | 89 | 74 | 59 | 73 | 80 | 60 | 77 | 75 | 74 | 0 | 31 | 83 | 29 | 5,250,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 33 | 86 | 72 | 81 | 79 | 88 | 73 | 59 | 74 | 75 | 62 | 74 | 80 | 79 | 0 | 51 | 82 | 32 | 4,950,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 32 | 91 | 70 | 72 | 82 | 82 | 72 | 55 | 77 | 69 | 68 | 71 | 72 | 71 | 0 | 34 | 81 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 58 | 32 | 92 | 77 | 68 | 78 | 76 | 69 | 55 | 69 | 74 | 65 | 71 | 66 | 65 | 0 | 36 | 80 | 24 | 875,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 83 | 32 | 94 | 64 | 67 | 75 | 72 | 69 | 76 | 60 | 75 | 70 | 72 | 74 | 73 | 0 | 43 | 79 | 29 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 76 | 39 | 65 | 58 | 83 | 78 | 74 | 62 | 63 | 61 | 68 | 73 | 65 | 87 | 83 | 0 | 45 | 77 | 36 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 33 | 90 | 64 | 77 | 74 | 85 | 65 | 80 | 70 | 64 | 59 | 65 | 64 | 63 | 0 | 41 | 75 | 23 | 900,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 82 | 34 | 88 | 62 | 86 | 72 | 70 | 62 | 78 | 63 | 64 | 64 | 63 | 64 | 62 | 0 | 47 | 75 | 23 | 925,000$/2yrs | |||
![]() | 11 | C | 100.00 | 64 | 39 | 84 | 63 | 80 | 65 | 72 | 63 | 77 | 62 | 66 | 65 | 64 | 67 | 70 | 0 | 70 | 74 | 24 | 858,750$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 31 | 94 | 72 | 63 | 91 | 87 | 76 | 30 | 79 | 69 | 84 | 73 | 80 | 90 | 0 | 31 | 88 | 32 | 7,200,000$/6yrs | |||
![]() | 0 | D | 100.00 | 77 | 40 | 71 | 64 | 96 | 92 | 90 | 71 | 30 | 72 | 62 | 91 | 66 | 80 | 77 | 0 | 29 | 86 | 32 | 6,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 67 | 32 | 88 | 75 | 65 | 92 | 86 | 72 | 30 | 81 | 66 | 74 | 69 | 65 | 64 | 0 | 30 | 84 | 24 | 4,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 58 | 32 | 85 | 70 | 67 | 81 | 69 | 65 | 30 | 75 | 50 | 62 | 58 | 64 | 63 | 0 | 35 | 77 | 23 | 925,000$/4yrs | |||
![]() | 22 | D | 100.00 | 67 | 33 | 72 | 59 | 77 | 81 | 73 | 57 | 30 | 62 | 62 | 70 | 59 | 66 | 63 | 0 | 42 | 74 | 24 | 1,000,000$/1yrs | |||
![]() | 7 | D | 100.00 | 80 | 39 | 91 | 55 | 81 | 77 | 73 | 56 | 30 | 62 | 58 | 65 | 57 | 79 | 78 | 0 | 34 | 74 | 32 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 72 | 33 | 95 | 66 | 80 | 72 | 75 | 63 | 77 | 61 | 67 | 66 | 65 | 65 | 64 | 0 | 19 | 75 | 24 | 809,167$/1yrs | |||
![]() | 18 | RW | 100.00 | 87 | 45 | 73 | 60 | 88 | 73 | 78 | 61 | 58 | 61 | 65 | 60 | 63 | 73 | 70 | 0 | 27 | 73 | 28 | 1,200,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 35 | 95 | 57 | 80 | 75 | 70 | 59 | 30 | 58 | 56 | 61 | 50 | 69 | 64 | 0 | 29 | 70 | 25 | 925,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 69 | 35 | 86 | 67 | 77 | 79 | 79 | 67 | 55 | 70 | 67 | 68 | 67 | 73 | 73 | 0 | 37 | 79 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 84 | 86 | 77 | 79 | 82 | 78 | 84 | 90 | 81 | 91 | 84 | 79 | 84 | 0 | 26 | 87 | 32 | 3,000,000$/2yrs |
![]() | 0 | 100.00 | 74 | 78 | 73 | 91 | 79 | 82 | 82 | 86 | 85 | 86 | 82 | 69 | 73 | 0 | 25 | 85 | 25 | 842,500$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 82 | 75 | 85 | 81 | 80 | 83 | 88 | 83 | 89 | 83 | 74 | 79 | 0 | 26 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
André Tourigny | 70 | 77 | 77 | 82 | 78 | 58 | 60 | USA | 58 | 3 | 500,000$ |
General Manager | David Paul |
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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 | MP | 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 | 81,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
LTIR Players | 1 |
Golden Knights Roster | Pos | Age | Cap Hit | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 |
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Alexander Barabanov ![]() | LW/RW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Andrew Ladd ![]() | LW | 36 | 750,000$ | 750,000$ | UFA | ||||||
Brady Keeper ![]() | D | 25 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Brett Ritchie ![]() | RW | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Craig Smith | RW | 32 | 4,950,000$ | 4,950,000$ | UFA | ||||||
David Cotton ![]() | C | 24 | 858,750$ | 858,750$ | RFA | ||||||
Jared Spurgeon | D | 32 | 7,200,000$ | 7,200,000$ | 7,200,000$ | 7,200,000$ | 7,200,000$ | 7,200,000$ | 7,200,000$ | UFA | |
Jonathan Dahlen ![]() | LW | 24 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Josh Bailey | C/LW/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Justin Danforth ![]() | C/RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Karel Vejmelka ![]() | G | 25 | 842,500$ | 842,500$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
Kevin Connauton ![]() | D | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Kyle Capobianco ![]() | D | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Martin Jones | G | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Mike Hoffman | LW/RW | 32 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Mikhail Maltsev ![]() | LW | 24 | 809,167$ | 809,167$ | RFA | ||||||
Morgan Barron ![]() | C/LW/RW | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Morgan Geekie ![]() | C | 23 | 900,000$ | 900,000$ | RFA | ||||||
Nicklas Backstrom | C | 34 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |||
Nino Niederreiter | LW | 29 | 5,250,000$ | 5,250,000$ | UFA | ||||||
Samuel Girard | D | 24 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | ![]() | ||||
Scott Perunovich ![]() | D | 23 | 925,000$ | 925,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | ![]() | |||
Tyler Myers | D | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Saarela ![]() | C/LW | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ![]() | |||||
Alexander Yelesin ![]() | D | 26 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Brendan Guhle ![]() | D | 24 | 800,000$ | 800,000$ | RFA | ||||||
Callahan Burke ![]() | RW | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Cam Lee ![]() | D | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Damien Riat ![]() | C/LW/RW | 25 | 817,500$ | 817,500$ | ![]() | ||||||
Devin Cooley ![]() | G | 24 | 785,000$ | 785,000$ | ![]() | ||||||
Ivan Chekhovich ![]() | C/LW | 23 | 776,667$ | 776,667$ | RFA | ||||||
Jack Ahcan ![]() | D | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Jack Lafontaine ![]() | G | 24 | 910,909$ | 910,909$ | RFA | ||||||
Jake Lucchini ![]() | LW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Jasper Weatherby ![]() | C/LW | 24 | 842,500$ | 842,500$ | 842,500$ | ![]() | |||||
Joseph LaBate ![]() | LW/RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Juho Lammikko ![]() | RW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Julius Honka ![]() ![]() | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Kevin Roy ![]() | RW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Layton Ahac ![]() | D | 21 | 897,500$ | 897,500$ | 897,500$ | 897,500$ | RFA | ||||
Liam Kirk ![]() | C | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Martin Pospisil ![]() | RW | 22 | 796,667$ | 796,667$ | RFA | ||||||
Matt Filipe ![]() | C/LW | 24 | 817,500$ | 817,500$ | RFA | ||||||
Maxim Marushev ![]() | C | 23 | 700,000$ | 700,000$ | RFA | ||||||
Michael Joly ![]() | RW | 27 | 700,000$ | 700,000$ | ![]() | ||||||
Michael Spacek ![]() | C | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Mikhail Berdin ![]() | G | 24 | 880,000$ | 880,000$ | 880,000$ | 880,000$ | ![]() | ||||
Nate Schnarr ![]() | C | 23 | 786,667$ | 786,667$ | RFA | ||||||
Oleg Sosunov ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Paul Bittner ![]() | LW | 25 | 700,000$ | 700,000$ | ![]() | ||||||
Peter Cehlarik ![]() | LW/RW | 26 | 1,245,000$ | 1,245,000$ | ![]() | ||||||
Roland McKeown ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Ryan Kuffner ![]() | LW | 25 | 780,000$ | 780,000$ | ![]() | ||||||
Ryan Suzuki ![]() | C | 20 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Santeri Hatakka ![]() | D | 21 | 700,000$ | 700,000$ | RFA | ||||||
Tristen Nielsen ![]() | C | 22 | 750,000$ | 750,000$ | RFA | ||||||
Wyatt Aamodt ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() |
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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 |
62,160,417$ | 0$ | 0$ | 19,339,583$ |
Arena | Goal Horn | About us | |
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![]() | Name | T-Mobile Arena | |
City | Vegas | ||
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 |
62,160,417$ | 62,160,417$ | 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$ | 62,160,417$ | 31,370,352$ | 31,370,352$ |
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 |
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2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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 |
---|---|---|---|---|---|
Alexander Gordin | 2020 | 179 | |||
Alexandr Darin | 2019 | 107 | |||
Andrei Buyalsky | 2021 | 109 | |||
Arvid Costmar | 2019 | 209 | |||
Axel Bergkvist | 2019 | 172 | |||
Blake Murray | 2019 | 151 | |||
Braden Hache | 2021 | 223 | |||
Cole Fonstad | |||||
Cole Jordan | 2021 | 55 | |||
Cole Mackay | 2019 | 150 | |||
Ethan Haider | 2019 | 147 | 4.0 - 5.0 | ||
Filip Sandberg | 4.0 - 2.0 | ||||
Greg Meireles | |||||
Isaiah Saville | 2019 | 126 | 8.0 - 5.5 | ||
Jack Smith | |||||
Jackson Hallum | 2020 | 117 | |||
Jakub Kos | 2021 | 186 | |||
Jerret Tyszka | |||||
Jesper Vikman | 2020 | 177 | |||
Joel Nystrom | 2021 | 191 | |||
Justin Robidas | 2021 | 106 | |||
Kyle Masters | 2021 | 54 | |||
Mikael Pyyhtia | |||||
Nate Benoit | 2021 | 189 | |||
Nikita Guslistov | 2021 | 216 | |||
Pasquale Zito | 2021 | 129 | |||
Sam Stange | 2020 | 200 | |||
Samuel Johannesson | 2020 | 208 | |||
Simon Kjellberg | 2.0 - 2.0 | ||||
Tomas Mazura | 2019 | 143 | 6.0 - 3.0 | ||
Tyson Hinds | 2021 | 92 | |||
Vadim Zherenko | |||||
Vladislav Firstov | 2019 | 70 | 7.5 - 5.0 | ||
Wyatt Kaiser | 2020 | 77 | |||
Yegor Spiridonov | 2019 | 96 | 6.5 - 5.5 |