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Full Scoreboard »» |
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Full Scoreboard »» |
Coachella Valley Firebirds 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zach Senyshyn | 0 | RW | 100.00 | 65 | 39 | 87 | 62 | 80 | 71 | 60 | 61 | 43 | 62 | 64 | 66 | 63 | 68 | 69 | 0 | 44 | 74 | 27 | 775,000$/1yrs | |||
Kyle Criscuolo | 51 | C | 100.00 | 66 | 38 | 81 | 56 | 65 | 70 | 83 | 68 | 72 | 58 | 60 | 72 | 59 | 77 | 75 | 0 | 39 | 74 | 31 | 1,000,000$/1yrs | |||
Samuel Fagemo | 0 | LW | 100.00 | 59 | 37 | 94 | 63 | 77 | 69 | 81 | 63 | 38 | 58 | 67 | 63 | 63 | 63 | 63 | 0 | 56 | 73 | 24 | 1,000,000$/2yrs | |||
Peter Abbandonato | 0 | C | 100.00 | 58 | 38 | 95 | 59 | 71 | 68 | 87 | 62 | 71 | 64 | 56 | 66 | 60 | 66 | 66 | 0 | 48 | 72 | 26 | 775,000$/1yrs | |||
Oskar Steen | 0 | C/RW | 100.00 | 75 | 32 | 96 | 56 | 73 | 70 | 70 | 57 | 30 | 50 | 65 | 67 | 61 | 68 | 67 | 0 | 49 | 71 | 26 | 800,000$/1yrs | |||
Hudson Elynuik | 76 | C | 100.00 | 80 | 42 | 58 | 55 | 86 | 65 | 83 | 64 | 74 | 57 | 54 | 67 | 56 | 68 | 64 | 0 | 55 | 71 | 26 | 775,000$/1yrs | |||
Patrick Khodorenko | 82 | C | 100.00 | 64 | 39 | 84 | 57 | 78 | 67 | 73 | 63 | 70 | 59 | 57 | 66 | 58 | 66 | 65 | 0 | 52 | 71 | 25 | 775,000$/1yrs | |||
Colin Theisen | 0 | LW | 100.00 | 62 | 38 | 87 | 56 | 73 | 67 | 74 | 64 | 44 | 57 | 57 | 67 | 57 | 68 | 67 | 0 | 63 | 71 | 27 | 775,000$/1yrs | |||
Matt Filipe | 0 | C/LW | 100.00 | 71 | 40 | 73 | 53 | 79 | 64 | 70 | 64 | 74 | 53 | 54 | 68 | 53 | 68 | 65 | 0 | 60 | 70 | 26 | 775,000$/1yrs | |||
Mike Hardman | 0 | LW/RW | 100.00 | 68 | 39 | 84 | 56 | 81 | 66 | 83 | 61 | 64 | 57 | 54 | 66 | 55 | 65 | 63 | 0 | 63 | 70 | 25 | 800,000$/1yrs | |||
Adam Beckman (R) | 0 | LW | 100.00 | 63 | 38 | 87 | 60 | 74 | 68 | 83 | 59 | 59 | 57 | 61 | 62 | 59 | 61 | 60 | 0 | 64 | 70 | 22 | 894,167$/1yrs | |||
Tyler Madden | 0 | C | 100.00 | 59 | 37 | 92 | 57 | 66 | 65 | 90 | 62 | 67 | 55 | 58 | 65 | 57 | 64 | 64 | 0 | 58 | 70 | 24 | 925,000$/2yrs | |||
Ty Emberson | 0 | D | 100.00 | 81 | 33 | 99 | 67 | 77 | 85 | 69 | 66 | 30 | 69 | 63 | 75 | 65 | 64 | 64 | 0 | 57 | 81 | 23 | 800,000$/3yrs | |||
Jalen Chatfield | 0 | D | 100.00 | 67 | 35 | 87 | 58 | 75 | 79 | 89 | 62 | 30 | 66 | 65 | 68 | 63 | 71 | 70 | 0 | 56 | 76 | 27 | 775,000$/1yrs | |||
Josh Mahura | 0 | D | 100.00 | 70 | 32 | 80 | 60 | 72 | 78 | 87 | 62 | 30 | 69 | 60 | 64 | 61 | 68 | 66 | 0 | 57 | 75 | 25 | 925,000$/1yrs | |||
Maksymilian Szuber (R) | 0 | D | 100.00 | 67 | 40 | 79 | 54 | 81 | 65 | 72 | 52 | 30 | 60 | 54 | 63 | 57 | 59 | 57 | 0 | 29 | 69 | 21 | 775,000$/1yrs | |||
Jared McIsaac | 0 | D | 100.00 | 64 | 39 | 85 | 52 | 76 | 64 | 84 | 50 | 30 | 58 | 52 | 65 | 55 | 63 | 61 | 0 | 65 | 68 | 24 | 850,000$/2yrs | |||
Wyatte Wylie | 0 | D | 100.00 | 62 | 38 | 87 | 49 | 74 | 63 | 80 | 48 | 30 | 54 | 52 | 66 | 53 | 64 | 63 | 0 | 45 | 67 | 24 | 825,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Simon Ryfors | 0 | C | 100.00 | 67 | 38 | 85 | 65 | 69 | 73 | 60 | 64 | 72 | 68 | 66 | 67 | 67 | 68 | 70 | 0 | 20 | 75 | 26 | 900,000$/1yrs | |||
Aidan Dudas | 0 | LW | 100.00 | 67 | 38 | 85 | 63 | 63 | 69 | 60 | 60 | 42 | 64 | 62 | 63 | 63 | 63 | 64 | 0 | 19 | 72 | 23 | 800,000$/2yrs | |||
Tarmo Reunanen | 0 | D | 100.00 | 64 | 36 | 86 | 65 | 71 | 78 | 60 | 64 | 30 | 66 | 57 | 63 | 51 | 64 | 66 | 0 | 19 | 75 | 26 | 900,000$/1yrs | |||
Ethan Samson (R) | 0 | D | 100.00 | 75 | 40 | 66 | 50 | 72 | 61 | 71 | 48 | 30 | 55 | 50 | 62 | 53 | 57 | 54 | 0 | 19 | 66 | 20 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dylan Garand | 0 | 100.00 | 74 | 81 | 71 | 68 | 81 | 75 | 74 | 74 | 75 | 76 | 74 | 60 | 62 | 0 | 18 | 78 | 21 | 850,000$/1yrs |
Taylor Gauthier | 0 | 100.00 | 75 | 73 | 71 | 82 | 68 | 76 | 75 | 75 | 76 | 76 | 75 | 62 | 62 | 0 | 52 | 78 | 23 | 859,167$/2yrs |
Scratches | ||||||||||||||||||||
Josef Korenar | 0 | 100.00 | 60 | 61 | 65 | 75 | 60 | 62 | 60 | 60 | 60 | 58 | 60 | 65 | 68 | 0 | 20 | 67 | 26 | 800,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dan Bylsma | 61 | 73 | 73 | 67 | 75 | 73 | 60 | USA | 52 | 2 | 1,000,000$ |
General Manager |
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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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Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
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Adam Beckman | LW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Aidan Dudas | LW | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Colin Theisen | LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Dylan Garand | G | 21 | 850,000$ | 850,000$ | RFA | ||||||
Ethan Samson | D | 20 | 0$ | RFA | |||||||
Hudson Elynuik | C | 26 | 775,000$ | 775,000$ | RFA | ||||||
Jalen Chatfield | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Jared McIsaac | D | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Josef Korenar | G | 26 | 800,000$ | 800,000$ | RFA | ||||||
Josh Mahura | D | 25 | 925,000$ | 925,000$ | RFA | ||||||
Kyle Criscuolo | C | 31 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Maksymilian Szuber | D | 21 | 775,000$ | 775,000$ | RFA | ||||||
Matt Filipe | C/LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Mike Hardman | LW/RW | 25 | 800,000$ | 800,000$ | RFA | ||||||
Oskar Steen | C/RW | 26 | 800,000$ | 800,000$ | RFA | ||||||
Patrick Khodorenko | C | 25 | 775,000$ | 775,000$ | RFA | ||||||
Peter Abbandonato | C | 26 | 775,000$ | 775,000$ | RFA | ||||||
Samuel Fagemo | LW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Simon Ryfors | C | 26 | 900,000$ | 900,000$ | RFA | ||||||
Tarmo Reunanen | D | 26 | 900,000$ | 900,000$ | RFA | ||||||
Taylor Gauthier | G | 23 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Ty Emberson | D | 23 | 800,000$ | 800,000$ | 1,500,000$ | 1,500,000$ | RFA | ||||
Tyler Madden | C | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Wyatte Wylie | D | 24 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Zach Senyshyn | RW | 27 | 775,000$ | 775,000$ | UFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd 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 |
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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 |
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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 |
1,672,834$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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Name | ||
City | Coachella Valley | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
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 | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
1,672,834$ | 1,672,834$ | 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$ | 5 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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