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Full Scoreboard »» |
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Full Scoreboard »» |
Colorado Avalanche 0-0-0, 0pts · 15th 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 | 64 | 33 | 92 | 75 | 80 | 85 | 89 | 72 | 59 | 72 | 77 | 60 | 74 | 66 | 66 | 0 | 20 | 82 | 24 | 5,000,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 59 | 34 | 90 | 66 | 73 | 84 | 84 | 68 | 60 | 71 | 69 | 60 | 69 | 84 | 89 | 0 | 22 | 79 | 34 | 4,750,000$/2yrs | |||
![]() | 18 | LW/RW | 100.00 | 91 | 64 | 66 | 61 | 90 | 80 | 85 | 63 | 59 | 64 | 67 | 78 | 65 | 82 | 79 | 0 | 23 | 78 | 33 | 4,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 72 | 38 | 80 | 69 | 79 | 83 | 87 | 64 | 81 | 68 | 66 | 77 | 65 | 62 | 60 | 0 | 21 | 78 | 21 | 2,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 60 | 35 | 89 | 63 | 84 | 77 | 87 | 66 | 59 | 70 | 67 | 52 | 67 | 86 | 85 | 0 | 23 | 77 | 35 | 4,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 70 | 34 | 83 | 62 | 70 | 80 | 89 | 66 | 77 | 70 | 64 | 66 | 65 | 80 | 78 | 0 | 23 | 77 | 32 | 3,750,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 69 | 34 | 82 | 69 | 78 | 84 | 90 | 68 | 57 | 63 | 73 | 65 | 71 | 64 | 62 | 0 | 23 | 77 | 23 | 863,333$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 33 | 85 | 58 | 81 | 80 | 90 | 61 | 83 | 62 | 65 | 72 | 63 | 86 | 84 | 0 | 23 | 75 | 35 | 2,450,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 67 | 32 | 94 | 67 | 68 | 75 | 84 | 63 | 58 | 61 | 70 | 59 | 67 | 64 | 63 | 0 | 24 | 75 | 23 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 34 | 92 | 65 | 70 | 77 | 81 | 62 | 57 | 66 | 66 | 55 | 64 | 64 | 63 | 0 | 23 | 74 | 23 | 1,850,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 33 | 96 | 59 | 75 | 79 | 84 | 58 | 80 | 60 | 58 | 78 | 58 | 67 | 67 | 0 | 23 | 73 | 25 | 1,800,000$/1yrs | |||
![]() | 94 | C/LW | 100.00 | 79 | 46 | 70 | 55 | 70 | 71 | 89 | 55 | 58 | 57 | 56 | 58 | 56 | 76 | 73 | 0 | 23 | 69 | 30 | 1,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 86 | 72 | 74 | 96 | 90 | 64 | 30 | 78 | 64 | 64 | 64 | 84 | 95 | 0 | 20 | 83 | 34 | 11,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 71 | 37 | 81 | 62 | 73 | 93 | 90 | 65 | 30 | 69 | 57 | 78 | 61 | 74 | 72 | 0 | 23 | 79 | 28 | 4,025,175$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 36 | 73 | 65 | 75 | 95 | 88 | 60 | 30 | 69 | 68 | 62 | 64 | 77 | 75 | 0 | 46 | 78 | 31 | 6,000,000$/6yrs | |||
![]() | 0 | D | 100.00 | 78 | 33 | 84 | 58 | 76 | 92 | 90 | 62 | 30 | 67 | 55 | 74 | 58 | 79 | 77 | 0 | 38 | 78 | 32 | 4,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 63 | 33 | 87 | 63 | 67 | 88 | 88 | 60 | 30 | 70 | 54 | 64 | 57 | 77 | 76 | 0 | 23 | 77 | 31 | 4,250,000$/2yrs | |||
![]() | 78 | D | 100.00 | 69 | 34 | 89 | 63 | 70 | 89 | 88 | 61 | 30 | 69 | 57 | 65 | 59 | 67 | 66 | 0 | 23 | 76 | 25 | 2,600,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 85 | 47 | 65 | 55 | 75 | 82 | 81 | 56 | 30 | 57 | 53 | 70 | 55 | 75 | 71 | 0 | 19 | 72 | 29 | 1,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 89 | 60 | 71 | 89 | 81 | 55 | 30 | 63 | 61 | 62 | 58 | 63 | 62 | 0 | 20 | 72 | 23 | 3,500,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 69 | 37 | 84 | 63 | 75 | 84 | 87 | 62 | 51 | 66 | 63 | 66 | 63 | 74 | 73 | 0 | 24 | 76 |
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 ) |
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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 | 94 | 81 | 91 | 87 | 79 | 88 | 93 | 85 | 94 | 88 | 74 | 78 | 0 | 26 | 90 | 28 | 1,250,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 84 | 87 | 77 | 76 | 86 | 78 | 86 | 88 | 84 | 89 | 86 | 76 | 80 | 0 | 20 | 87 | 30 | 3,200,000$/2yrs |
![]() | 0 | 100.00 | 77 | 74 | 73 | 79 | 76 | 78 | 77 | 77 | 78 | 78 | 77 | 62 | 69 | 0 | 53 | 80 | 23 | 867,500$/2yrs |
TEAM AVERAGE | 100.00 | 82 | 85 | 77 | 82 | 83 | 78 | 84 | 86 | 82 | 87 | 84 | 71 | 76 | 0 | 33 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Don Granato | 75 | 79 | 87 | 90 | 75 | 70 | 68 | USA | 55 | 5 | 1,000,000$ |
General Manager | Samuel Veillette |
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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 | 23 |
LTIR Players | 0 |
Avalanche 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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Brandon Montour ![]() | D | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |
Cole Sillinger ![]() | C | 21 | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | |||||
Dylan DeMelo ![]() | D | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Erik Karlsson ![]() | D | 34 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | UFA | ||||
Isac Lundestrom ![]() | C/LW | 25 | 1,800,000$ | 1,800,000$ | |||||||
Jakub Malek ![]() | G | 23 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
James van Riemsdyk ![]() | LW | 35 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Jamie Drysdale ![]() | D | 23 | 3,500,000$ | 3,500,000$ | 3,500,000$ | RFA | |||||
Jordan Eberle ![]() | RW | 34 | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Karel Vejmelka ![]() | G | 28 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Kevin Lankinen | G | 30 | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | |||||
Kirill Marchenko ![]() | LW/RW | 24 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Kyle Burroughs ![]() | D | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Lars Eller ![]() | C | 35 | 2,450,000$ | 2,450,000$ | UFA | ||||||
Marcus Foligno ![]() | LW/RW | 33 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Marcus Pettersson ![]() | D | 28 | 4,025,175$ | 4,025,175$ | UFA | ||||||
Matt Grzelcyk ![]() | D | 31 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Nicholas Robertson ![]() | LW | 23 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Philip Tomasino ![]() | C/LW/RW | 23 | 1,850,000$ | 1,850,000$ | 1,850,000$ | RFA | |||||
Rasmus Sandin ![]() | D | 25 | 2,600,000$ | 2,600,000$ | |||||||
Ryan Lomberg ![]() | C/LW | 30 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Tyson Foerster ![]() | C/RW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Vladislav Namestnikov ![]() | C/LW/RW | 32 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Arshdeep Bains ![]() | LW | 24 | 816,667$ | 816,667$ | RFA | ||||||
Ben Danford ![]() | D | 19 | 964,000$ | 964,000$ | 964,000$ | 964,000$ | RFA | ||||
Braeden Kressler ![]() | C | 22 | 800,556$ | 800,556$ | 800,556$ | RFA | |||||
Bryce McConnell-Barker ![]() | C | 20 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Cam Squires ![]() | RW | 20 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Carson Ceulemans ![]() | D | 21 | 925,000$ | 925,000$ | RFA | ||||||
Chaz Lucius ![]() | C | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Dmitri Kuzmin ![]() | D | 22 | 795,556$ | 795,556$ | 795,556$ | RFA | |||||
Erik Portillo ![]() | G | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Frank Nazar ![]() | C | 21 | 775,000$ | 775,000$ | RFA | ||||||
Georgii Merkulov ![]() | C/LW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Hugo Alnefelt ![]() | G | 23 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Hunter Shepard ![]() | G | 29 | 775,000$ | 775,000$ | UFA | ||||||
Jack Matier ![]() | D | 22 | 801,667$ | 801,667$ | 801,667$ | RFA | |||||
Jack Rathbone ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Jean-Luc Foudy ![]() | C | 23 | 847,500$ | 847,500$ | RFA | ||||||
Jiri Kulich ![]() | C | 21 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Julian Lutz ![]() | C/LW/RW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Kieffer Bellows ![]() | LW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Koehn Ziemmer ![]() | RW | 20 | 845,833$ | 845,833$ | 845,833$ | 845,833$ | RFA | ||||
Lukas Cormier ![]() | D | 23 | 793,333$ | 793,333$ | RFA | ||||||
Marshall Warren ![]() | D | 24 | 0$ | RFA | |||||||
Matt Stienburg ![]() | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Michael Sgarbossa ![]() | C/LW | 32 | 800,000$ | 800,000$ | UFA | ||||||
Nico Myatovic ![]() | C/LW | 20 | 896,667$ | 896,667$ | 896,667$ | 896,667$ | RFA | ||||
Nikita Grebyonkin ![]() | LW/RW | 21 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | ||||
Olle Lycksell ![]() | RW | 25 | 787,000$ | 787,000$ | ![]() | ||||||
Rasmus Asplund ![]() | C/LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ryan Johnson ![]() | D | 23 | 925,000$ | 925,000$ | RFA | ||||||
Sasha Pastujov ![]() | LW/RW | 21 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Tristan Broz ![]() | C/LW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Vincent Iorio ![]() | D | 22 | 814,167$ | 814,167$ | 814,167$ | RFA | |||||
Will Smith ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Zac Funk ![]() | LW/RW | 21 | 905,000$ | 905,000$ | 905,000$ | 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 | |
---|---|---|
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 |
75,856,008$ | 0$ | 0$ | 12,143,992$ |
Arena | Goal Horn | About us | |
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![]() | Name | Pepsi Center | |
City | Colorado | ||
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 | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,856,008$ | 75,856,008$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
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$ | 75,856,008$ | 73,183,235$ | 73,183,235$ |
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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 |
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aiden Celebrini | 2023 | 162 | |||
Aleksi Malinen | 2021 | 146 | |||
Andrew Strathmann | 2023 | 104 | |||
Arttu Karki | 2023 | 102 | |||
Colby Ambrosio | 2020 | 112 | |||
Colin Ralph | 2024 | 70 | |||
Daniil Karpovich | 2023 | 164 | |||
Danila Yurov | 2022 | 14 | |||
Devin Kaplan | 2022 | 76 | |||
Evan Gardner | 2024 | 79 | |||
Filip Eriksson | 2023 | 188 | |||
Gavin Mccarthy | 2023 | 100 | |||
Gracyn Sawchyn | 2023 | 33 | |||
Iorenzo Canonica | 2021 | 212 | |||
Jake Martin | 2021 | 176 | |||
Linus Oberg | |||||
Michael Brandsegg-Nygard | 2024 | 17 | |||
Ondrej Kos | 2024 | 113 | |||
Owen McLaughlin | 2021 | 214 | |||
Patrik Puistola | 2019 | 39 | 7.5 - 7.0 | ||
Peter Reynolds | 2021 | 164 | |||
Ryan Conmy | 2023 | 183 | |||
Topi Ronni | 2022 | 71 | |||
Trevor Wong | 2021 | 167 | |||
Victor Stjernborg | 2021 | 99 | |||
Will Skahan | 2024 | 81 | |||
Yevgeni Volokhin | 2023 | 132 |