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Full Scoreboard »» |
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Full Scoreboard »» |
| Colorado Eagles 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zac Funk | 0 | LW/RW | 100.00 | 76 | 41 | 69 | 68 | 81 | 72 | 88 | 65 | 41 | 57 | 61 | 63 | 67 | 58 | 55 | 0 | 48 | 72 | 22 | 905,000$/1yrs | |||
David Tomasek | 0 | C/RW | 100.00 | 65 | 33 | 84 | 57 | 83 | 73 | 68 | 56 | 62 | 57 | 63 | 53 | 60 | 75 | 74 | 0 | 31 | 70 | 30 | 1,200,000$/1yrs | |||
Olle Lycksell | 0 | RW | 100.00 | 61 | 31 | 96 | 58 | 63 | 74 | 69 | 55 | 60 | 65 | 55 | 54 | 55 | 69 | 69 | 0 | 41 | 69 | 26 | 800,000$/2yrs | |||
Jean-Luc Foudy | 0 | C | 100.00 | 64 | 38 | 84 | 57 | 68 | 63 | 84 | 59 | 68 | 58 | 53 | 62 | 55 | 59 | 58 | 0 | 39 | 67 | 24 | 850,000$/3yrs | |||
Arshdeep Bains | 0 | LW | 100.00 | 68 | 32 | 89 | 55 | 72 | 71 | 71 | 53 | 58 | 58 | 56 | 56 | 55 | 66 | 65 | 0 | 34 | 67 | 25 | 900,000$/2yrs | |||
Koehn Ziemmer (R) | 0 | RW | 100.00 | 63 | 39 | 86 | 57 | 78 | 63 | 70 | 57 | 37 | 58 | 53 | 60 | 55 | 56 | 54 | 0 | 37 | 67 | 21 | 845,833$/2yrs | |||
Cam Squires (R) | 0 | RW | 100.00 | 72 | 39 | 73 | 58 | 67 | 63 | 89 | 54 | 49 | 56 | 57 | 60 | 56 | 56 | 53 | 0 | 51 | 67 | 21 | 870,000$/2yrs | |||
Bryce McConnell-Barker (R) | 0 | C | 100.00 | 64 | 39 | 84 | 56 | 78 | 62 | 88 | 57 | 64 | 54 | 54 | 60 | 54 | 56 | 54 | 0 | 44 | 66 | 21 | 870,000$/1yrs | |||
Julian Lutz (R) | 0 | C/LW/RW | 100.00 | 65 | 39 | 82 | 55 | 77 | 61 | 83 | 58 | 63 | 55 | 52 | 61 | 53 | 55 | 54 | 0 | 48 | 66 | 22 | 925,000$/2yrs | |||
Nico Myatovic (R) | 0 | C/LW | 100.00 | 62 | 39 | 88 | 57 | 79 | 62 | 87 | 57 | 61 | 54 | 55 | 60 | 54 | 56 | 54 | 0 | 48 | 66 | 21 | 896,667$/2yrs | |||
Blake Murray (R) | 0 | C | 100.00 | 59 | 38 | 92 | 51 | 75 | 60 | 68 | 61 | 71 | 51 | 49 | 64 | 50 | 61 | 60 | 0 | 23 | 65 | 24 | 800,000$/2yrs | |||
Cam Hausinger | 0 | RW | 100.00 | 94 | 41 | 53 | 55 | 72 | 63 | 60 | 56 | 52 | 42 | 51 | 63 | 55 | 64 | 69 | 0 | 34 | 65 | 27 | 800,000$/2yrs | |||
Vincent Iorio (R) | 0 | D | 100.00 | 62 | 33 | 84 | 55 | 82 | 81 | 69 | 53 | 30 | 59 | 50 | 68 | 51 | 63 | 62 | 0 | 46 | 70 | 23 | 814,167$/1yrs | |||
Carson Ceulemans (R) | 0 | D | 100.00 | 82 | 41 | 61 | 62 | 79 | 68 | 60 | 56 | 30 | 56 | 52 | 60 | 62 | 56 | 52 | 0 | 49 | 69 | 22 | 925,000$/1yrs | |||
David Reinbacher (R) | 0 | D | 100.00 | 67 | 40 | 79 | 54 | 84 | 65 | 72 | 52 | 30 | 59 | 56 | 61 | 58 | 56 | 54 | 0 | 24 | 68 | 21 | 950,000$/1yrs | |||
Kyle Burroughs | 0 | D | 100.00 | 71 | 55 | 60 | 55 | 75 | 68 | 70 | 50 | 30 | 57 | 50 | 53 | 50 | 76 | 72 | 0 | 32 | 67 | 30 | 1,100,000$/1yrs | |||
Sean Behrens (R) | 0 | D | 100.00 | 63 | 38 | 86 | 54 | 67 | 63 | 70 | 51 | 30 | 59 | 50 | 62 | 55 | 57 | 56 | 0 | 43 | 67 | 23 | 905,833$/2yrs | |||
Ryan Johnson (R) | 0 | D | 100.00 | 68 | 39 | 78 | 51 | 67 | 63 | 87 | 49 | 30 | 56 | 51 | 64 | 54 | 61 | 59 | 0 | 42 | 66 | 24 | 850,000$/2yrs | |||
Ben Danford (R) | 0 | D | 100.00 | 61 | 39 | 86 | 56 | 74 | 62 | 89 | 52 | 30 | 56 | 51 | 61 | 53 | 54 | 52 | 0 | 45 | 66 | 20 | 964,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Rasmus Asplund | 0 | C/LW | 100.00 | 62 | 38 | 88 | 59 | 73 | 69 | 80 | 63 | 67 | 60 | 61 | 67 | 60 | 68 | 67 | 0 | 20 | 72 | 28 | 800,000$/1yrs | |||
Kieffer Bellows | 0 | LW | 100.00 | 78 | 33 | 89 | 57 | 77 | 73 | 68 | 56 | 62 | 58 | 61 | 55 | 58 | 71 | 70 | 0 | 19 | 70 | 27 | 800,000$/2yrs | |||
Nikita Grebyonkin (R) | 0 | LW/RW | 100.00 | 72 | 41 | 71 | 60 | 83 | 65 | 77 | 58 | 47 | 59 | 58 | 61 | 59 | 57 | 55 | 0 | 19 | 69 | 22 | 875,000$/2yrs | |||
Gracyn Sawchyn (R) | 0 | C | 100.00 | 55 | 36 | 99 | 63 | 61 | 66 | 71 | 61 | 64 | 64 | 57 | 59 | 61 | 54 | 54 | 0 | 20 | 69 | 21 | ||||
Chaz Lucius (R) | 0 | C | 100.00 | 60 | 38 | 91 | 57 | 74 | 63 | 71 | 58 | 68 | 57 | 54 | 61 | 55 | 57 | 56 | 0 | 20 | 67 | 22 | 894,167$/1yrs | |||
Devin Kaplan (R) | 0 | RW | 100.00 | 78 | 41 | 61 | 57 | 79 | 62 | 72 | 57 | 41 | 55 | 54 | 60 | 54 | 56 | 52 | 0 | 20 | 66 | 22 | ||||
Thomas Caron | 0 | LW | 100.00 | 67 | 40 | 79 | 50 | 85 | 60 | 68 | 62 | 37 | 48 | 50 | 65 | 49 | 62 | 60 | 0 | 20 | 65 | 25 | 800,000$/2yrs | |||
Matt Stienburg (R) | 0 | C | 100.00 | 71 | 40 | 72 | 53 | 73 | 62 | 72 | 61 | 65 | 44 | 44 | 65 | 52 | 63 | 60 | 0 | 19 | 63 | 25 | 775,000$/1yrs | |||
Braeden Kressler | 0 | C | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 19 | 9 | 23 | 800,556$/1yrs | |||
Jack Matier (R) | 0 | D | 100.00 | 63 | 40 | 86 | 49 | 86 | 61 | 75 | 48 | 30 | 54 | 51 | 62 | 52 | 57 | 56 | 0 | 34 | 65 | 23 | 801,667$/1yrs | |||
Dmitri Kuzmin | 0 | D | 100.00 | 64 | 38 | 85 | 47 | 71 | 61 | 82 | 47 | 30 | 52 | 52 | 62 | 52 | 57 | 56 | 0 | 19 | 64 | 23 | 795,556$/1yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hugo Alnefelt | 0 | 100.00 | 75 | 82 | 71 | 81 | 69 | 76 | 75 | 75 | 76 | 76 | 75 | 62 | 64 | 0 | 25 | 78 | 24 | 900,000$/1yrs |
Erik Portillo | 0 | 100.00 | 68 | 68 | 67 | 93 | 52 | 76 | 69 | 68 | 76 | 75 | 71 | 63 | 63 | 0 | 54 | 75 | 25 | 950,000$/1yrs |
| Scratches | ||||||||||||||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Derek Lalonde | 83 | 81 | 87 | 91 | 67 | 63 | 73 | USA | 50 | 4 | 1,000,000$ |
| General Manager |
|---|
| 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 |
|---|
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Arshdeep Bains | LW | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Ben Danford | D | 20 | 964,000$ | 964,000$ | 964,000$ | RFA | |||||
| Blake Murray | C | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Braeden Kressler | C | 23 | 800,556$ | 800,556$ | RFA | ||||||
| Bryce McConnell-Barker | C | 21 | 870,000$ | 870,000$ | RFA | ||||||
| Cam Hausinger | RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Cam Squires | RW | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Carson Ceulemans | D | 22 | 925,000$ | 925,000$ | RFA | ||||||
| Chaz Lucius | C | 22 | 894,167$ | 894,167$ | RFA | ||||||
| David Reinbacher | D | 21 | 950,000$ | 950,000$ | RFA | ||||||
| David Tomasek | C/RW | 30 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| Devin Kaplan | RW | 22 | 0$ | RFA | |||||||
| Dmitri Kuzmin | D | 23 | 795,556$ | 795,556$ | RFA | ||||||
| Erik Portillo | G | 25 | 950,000$ | 950,000$ | |||||||
| Gracyn Sawchyn | C | 21 | 0$ | RFA | |||||||
| Hugo Alnefelt | G | 24 | 900,000$ | 900,000$ | |||||||
| Jack Matier | D | 23 | 801,667$ | 801,667$ | RFA | ||||||
| Jean-Luc Foudy | C | 24 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
| Julian Lutz | C/LW/RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
| Kieffer Bellows | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Koehn Ziemmer | RW | 21 | 845,833$ | 845,833$ | 845,833$ | RFA | |||||
| Kyle Burroughs | D | 30 | 1,100,000$ | 1,100,000$ | UFA | ||||||
| Matt Stienburg | C | 25 | 775,000$ | 775,000$ | |||||||
| Nico Myatovic | C/LW | 21 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
| Nikita Grebyonkin | LW/RW | 22 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
| Olle Lycksell | RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Rasmus Asplund | C/LW | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Ryan Johnson | D | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Sean Behrens | D | 23 | 905,833$ | 905,833$ | 905,833$ | ||||||
| Thomas Caron | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Vincent Iorio | D | 23 | 814,167$ | 814,167$ | RFA | ||||||
| Zac Funk | LW/RW | 22 | 905,000$ | 905,000$ | RFA |
| Forward Lines | |||||||
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| 1st Power Play Unit | |||||||
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| Goalies | |||||||
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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 |
| 2,299,429$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Colorado | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| 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 |
| 36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,299,429$ | 2,299,429$ | 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$ | 2 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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