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Full Scoreboard »» |
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Full Scoreboard »» |
Vegas Golden Knights 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 68 | 34 | 85 | 69 | 79 | 81 | 90 | 66 | 59 | 66 | 72 | 67 | 69 | 74 | 72 | 0 | 25 | 78 | 29 | 5,500,000$/4yrs | |||
![]() | 0 | LW/RW | 99.00 | 68 | 35 | 78 | 68 | 74 | 82 | 90 | 67 | 60 | 67 | 73 | 58 | 70 | 76 | 73 | 0 | 21 | 78 | 30 | 7,000,000$/5yrs | |||
![]() | 0 | C | 100.00 | 62 | 33 | 88 | 62 | 79 | 83 | 72 | 64 | 84 | 69 | 64 | 62 | 64 | 87 | 86 | 0 | 24 | 77 | 37 | 9,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 33 | 93 | 63 | 76 | 81 | 82 | 60 | 86 | 65 | 65 | 77 | 63 | 74 | 74 | 0 | 23 | 76 | 29 | 4,450,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 34 | 88 | 61 | 75 | 80 | 88 | 63 | 57 | 65 | 66 | 66 | 64 | 83 | 81 | 0 | 23 | 76 | 34 | 5,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 34 | 81 | 62 | 87 | 78 | 75 | 63 | 85 | 61 | 68 | 59 | 66 | 80 | 78 | 0 | 19 | 75 | 32 | 8,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 36 | 81 | 63 | 80 | 78 | 89 | 61 | 81 | 65 | 65 | 56 | 63 | 66 | 64 | 0 | 23 | 73 | 24 | 2,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 35 | 86 | 60 | 71 | 78 | 89 | 60 | 76 | 64 | 60 | 69 | 60 | 70 | 69 | 0 | 23 | 73 | 27 | 2,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 33 | 93 | 63 | 75 | 77 | 79 | 62 | 58 | 63 | 65 | 53 | 64 | 66 | 65 | 0 | 23 | 73 | 24 | 1,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 75 | 36 | 88 | 64 | 85 | 76 | 79 | 61 | 73 | 61 | 65 | 59 | 63 | 65 | 64 | 0 | 23 | 73 | 24 | 850,833$/1yrs | |||
![]() | 0 | LW | 100.00 | 62 | 32 | 96 | 58 | 66 | 76 | 75 | 54 | 59 | 57 | 58 | 74 | 56 | 64 | 63 | 0 | 18 | 70 | 23 | 897,500$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 92 | 55 | 75 | 73 | 74 | 56 | 61 | 56 | 58 | 59 | 57 | 67 | 66 | 0 | 23 | 68 | 25 | 1,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 35 | 84 | 60 | 80 | 90 | 88 | 62 | 30 | 67 | 57 | 78 | 60 | 76 | 74 | 0 | 23 | 79 | 30 | 4,250,000$/5yrs | |||
![]() | 0 | D | 100.00 | 72 | 40 | 68 | 60 | 96 | 89 | 88 | 64 | 30 | 67 | 59 | 79 | 62 | 85 | 81 | 0 | 26 | 79 | 35 | 2,850,000$/3yrs | |||
![]() | 0 | D | 100.00 | 60 | 33 | 85 | 55 | 75 | 88 | 85 | 60 | 30 | 66 | 54 | 70 | 57 | 84 | 82 | 0 | 21 | 75 | 34 | 4,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 32 | 91 | 62 | 67 | 82 | 79 | 58 | 30 | 67 | 54 | 60 | 56 | 69 | 68 | 0 | 23 | 74 | 26 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 32 | 92 | 55 | 73 | 82 | 80 | 53 | 30 | 62 | 60 | 61 | 57 | 69 | 69 | 0 | 23 | 71 | 26 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 59 | 50 | 55 | 95 | 81 | 83 | 52 | 30 | 58 | 55 | 64 | 54 | 65 | 60 | 0 | 23 | 70 | 24 | 1,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 65 | 32 | 91 | 64 | 74 | 78 | 76 | 62 | 58 | 60 | 67 | 62 | 65 | 67 | 66 | 0 | 19 | 74 | 25 | 1,275,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 57 | 32 | 93 | 70 | 70 | 78 | 60 | 68 | 55 | 60 | 62 | 66 | 70 | 68 | 67 | 0 | 20 | 74 | 27 | ||||
![]() | 0 | C/LW/RW | 100.00 | 63 | 39 | 85 | 59 | 77 | 70 | 69 | 65 | 35 | 64 | 59 | 69 | 62 | 72 | 70 | 0 | 20 | 73 | 28 | ||||
TEAM AVERAGE | 99.95 | 67 | 35 | 85 | 61 | 78 | 80 | 80 | 61 | 56 | 63 | 62 | 65 | 62 | 73 | 71 | 0 | 22 | 74 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 76 | 87 | 77 | 84 | 82 | 76 | 84 | 90 | 85 | 89 | 84 | 79 | 83 | 0 | 31 | 87 | 31 | 6,400,000$/3yrs |
![]() | 30 | 100.00 | 65 | 77 | 73 | 86 | 80 | 76 | 81 | 87 | 83 | 87 | 81 | 67 | 71 | 0 | 28 | 83 | 25 | 900,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 61 | 65 | 86 | 60 | 60 | 60 | 60 | 60 | 57 | 60 | 76 | 79 | 0 | 17 | 69 | 30 | 3,800,000$/1yrs |
TEAM AVERAGE | 99.67 | 67 | 75 | 72 | 85 | 74 | 71 | 75 | 79 | 76 | 78 | 75 | 74 | 78 | 0 | 25 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andre Tourigny | 71 | 81 | 81 | 83 | 70 | 75 | 64 | CAN | 60 | 5 | 1,000,000$ |
General Manager | Cymon Brass |
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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 | 22 |
LTIR Players | 0 |
Golden Knights 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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Arber Xhekaj ![]() | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Chris Driedger | G | 30 | 3,800,000$ | 3,800,000$ | UFA | ||||||
Christian Dvorak ![]() | C/LW | 29 | 4,450,000$ | 4,450,000$ | UFA | ||||||
Filip Zadina ![]() | LW/RW | 25 | 1,275,000$ | 1,275,000$ | 1,275,000$ | ||||||
Jesperi Kotkaniemi ![]() | C/LW | 24 | 2,500,000$ | 2,500,000$ | RFA | ||||||
Jesse Ylonen ![]() | LW/RW | 25 | 1,250,000$ | 1,250,000$ | |||||||
John Gibson | G | 31 | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | UFA | ||||
Jonatan Berggren ![]() | LW/RW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Jonathan Dahlen ![]() | LW | 27 | 0$ | ||||||||
Justus Annunen ![]() | G | 25 | 900,000$ | 900,000$ | |||||||
Juuso Parssinen ![]() | C/LW | 24 | 850,833$ | 850,833$ | RFA | ||||||
Matt Roy ![]() | D | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | ||
Mikael Pyyhtia ![]() | LW | 23 | 897,500$ | 897,500$ | RFA | ||||||
Nicklas Backstrom ![]() | C | 37 | 9,000,000$ | 9,000,000$ | UFA | ||||||
Ondrej Palat ![]() | LW/RW | 34 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Rem Pitlick ![]() | C/LW/RW | 28 | 0$ | UFA | |||||||
Ryan Johansen ![]() | C | 32 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Sam Malinski ![]() | D | 26 | 850,000$ | 850,000$ | |||||||
Sam Steel ![]() | C/LW | 27 | 2,000,000$ | 2,000,000$ | |||||||
Scott Perunovich ![]() | D | 26 | 2,500,000$ | 2,500,000$ | |||||||
TJ Brodie ![]() | D | 34 | 4,600,000$ | 4,600,000$ | UFA | ||||||
Tyler Bertuzzi ![]() | LW/RW | 30 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Tyler Myers ![]() | D | 35 | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | UFA | ||||
Warren Foegele ![]() | LW/RW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA |
Non-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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Adam Engstrom ![]() | D | 21 | 0$ | RFA | |||||||
Alexis Gendron ![]() | C | 21 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Antti Tuomisto ![]() | D | 24 | 867,500$ | 867,500$ | RFA | ||||||
Beau Akey ![]() | D | 20 | 895,000$ | 895,000$ | 895,000$ | RFA | |||||
Blake Murray ![]() | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Cross Hanas ![]() | LW/RW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Danny Zhilkin ![]() | C | 21 | 831,667$ | 831,667$ | 831,667$ | RFA | |||||
Daylan Kuefler ![]() | LW | 23 | 840,000$ | 840,000$ | 840,000$ | RFA | |||||
Ethan Cardwell ![]() | RW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Florian Xhekaj ![]() | C | 20 | 0$ | RFA | |||||||
Gannon Laroque ![]() | D | 21 | 867,500$ | 867,500$ | RFA | ||||||
Isaiah Saville ![]() | G | 24 | 850,000$ | 850,000$ | RFA | ||||||
Jachym Kondelik ![]() | C | 25 | 860,000$ | 860,000$ | ![]() | ||||||
Jakub Demek ![]() | C/RW | 21 | 851,683$ | 851,683$ | 851,683$ | RFA | |||||
Jared Davidson ![]() | C | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
John Farinacci ![]() | C | 24 | 910,000$ | 910,000$ | RFA | ||||||
Kyle Masters ![]() | D | 22 | 865,000$ | 865,000$ | 865,000$ | RFA | |||||
Layton Ahac ![]() | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Liam Kirk ![]() | C | 25 | 0$ | ![]() | |||||||
Matthew Robertson ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Maximus Wanner ![]() | D | 22 | 846,667$ | 846,667$ | RFA | ||||||
Michael Buchinger ![]() | D | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Michael Milne ![]() | LW | 22 | 861,667$ | 861,667$ | RFA | ||||||
Mikhail Berdin ![]() | G | 27 | 0$ | ![]() | |||||||
Ryan Hofer ![]() | C | 22 | 851,667$ | 851,667$ | 851,667$ | RFA | |||||
Ryan Suzuki ![]() | C | 23 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Ryan Winterton ![]() | C | 21 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Ryder Korczak ![]() | C | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Samuel Bolduc ![]() | D | 24 | 900,000$ | 900,000$ | RFA | ||||||
Santeri Hatakka ![]() | D | 24 | 825,000$ | 825,000$ | 825,000$ | ![]() | |||||
Stanislav Svozil ![]() | D | 22 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Vadim Zherenko ![]() | G | 24 | 846,667$ | 846,667$ | RFA | ||||||
Yegor Sidorov ![]() | RW | 20 | 0$ | 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 |
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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 |
76,098,333$ | 0$ | 0$ | 11,901,667$ |
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 |
76,098,333$ | 76,098,333$ | 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$ | 76,098,333$ | 74,611,532$ | 74,611,532$ |
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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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Alexandr Darin | 2019 | 107 | |||
Andrew Gibson | 2023 | 69 | |||
Artyom Duda | 2022 | 69 | |||
Bogdan Konyushkov | 2023 | 107 | |||
Christian Kirsch | 2024 | 126 | |||
Danny Nelson | 2023 | 72 | |||
Dominic James | 2022 | 198 | |||
Ethan Haider | 2019 | 147 | 4.0 - 5.0 | ||
Felix Nilsson | 2023 | 50 | |||
Joaquim Lemay | 2021 | 140 | |||
Luke Misa | 2024 | 54 | |||
Matthew Andonovski | 2023 | 158 | |||
Maxim Strbak | 2023 | 59 | |||
Maximilian Kilpinen | 2022 | 147 | |||
Miguel Marques | 2024 | 42 | |||
Quentin Musty | 2023 | 16 | |||
Ryan Greene | 2022 | 91 | |||
Sean Behrens | 2021 | 26 | |||
Simon-Pier Brunet | 2024 | 121 | |||
Tarin Smith | 2024 | 56 | |||
Tomas Mrsic | 2024 | 50 | |||
Tristan Bertucci | 2023 | 75 | |||
Vinzenz Rohrer | 2022 | 83 | |||
William Whitelaw | 2023 | 39 | |||
Zeev Buium | 2024 | 4 |