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Full Scoreboard >> |
![]() | Astoria Checkers 0-0-0, 0pts · 14th in Lemieux Conference |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gabe Perreault (R) | 0 | RW | 100.00 | 65 | 65 | 85 | 64 | 64 | 56 | 79 | 59 | 52 | 56 | 57 | 60 | 54 | 33 | 33 | 64 | 75 | 64 | 20 | 875,000$/2yrs | |||
Carter Mazur (R) | 0 | LW | 100.00 | 65 | 64 | 90 | 63 | 64 | 57 | 67 | 62 | 57 | 58 | 62 | 50 | 59 | 36 | 36 | 63 | 75 | 63 | 23 | 905,833$/2yrs | |||
David Gustafsson (R) | 0 | C | 100.00 | 73 | 66 | 93 | 68 | 74 | 47 | 43 | 58 | 78 | 62 | 60 | 77 | 54 | 58 | 58 | 62 | 75 | 62 | 25 | 835,000$/2yrs | |||
Dylan Peterson (R) | 0 | C/RW | 100.00 | 64 | 72 | 67 | 64 | 72 | 54 | 75 | 55 | 52 | 48 | 56 | 53 | 53 | 34 | 34 | 61 | 75 | 61 | 23 | 867,500$/2yrs | |||
Michael Milne (R) | 0 | LW | 100.00 | 65 | 66 | 83 | 63 | 65 | 56 | 73 | 56 | 36 | 48 | 58 | 47 | 55 | 38 | 38 | 61 | 75 | 61 | 22 | 861,667$/1yrs | |||
Daniel Ljungman (R) | 0 | C/RW | 100.00 | 65 | 65 | 91 | 63 | 65 | 52 | 74 | 52 | 34 | 47 | 53 | 59 | 49 | 37 | 37 | 60 | 75 | 60 | 23 | 450,000$/1yrs | |||
Mason Primeau (R) | 0 | C | 100.00 | 66 | 76 | 69 | 63 | 76 | 53 | 67 | 50 | 63 | 45 | 49 | 46 | 47 | 38 | 38 | 58 | 75 | 58 | 23 | 475,000$/1yrs | |||
Ben MacDonald (R) | 0 | C | 100.00 | 65 | 68 | 84 | 63 | 68 | 53 | 72 | 50 | 45 | 46 | 49 | 52 | 46 | 31 | 31 | 58 | 75 | 58 | 21 | 475,000$/1yrs | |||
Michael Callow (R) | 0 | LW/RW | 100.00 | 67 | 75 | 83 | 63 | 76 | 52 | 74 | 47 | 48 | 42 | 47 | 50 | 45 | 32 | 32 | 58 | 75 | 58 | 21 | 475,000$/1yrs | |||
Fyodor Svechkov (R) | 0 | C/LW | 100.00 | 54 | 54 | 54 | 54 | 54 | 54 | 69 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 57 | 75 | 57 | 22 | 925,000$/2yrs | |||
Justin Kipkie (R) | 0 | D | 100.00 | 65 | 76 | 80 | 64 | 76 | 54 | 86 | 48 | 25 | 39 | 41 | 57 | 39 | 35 | 35 | 60 | 75 | 60 | 19 | 450,000$/1yrs | |||
Tyson Hinds (R) | 0 | D | 100.00 | 65 | 71 | 82 | 64 | 71 | 53 | 87 | 47 | 25 | 38 | 41 | 55 | 39 | 39 | 39 | 59 | 75 | 59 | 22 | 829,444$/2yrs | |||
David Spacek (R) | 0 | D | 100.00 | 65 | 68 | 84 | 66 | 68 | 56 | 85 | 51 | 25 | 45 | 41 | 50 | 39 | 37 | 37 | 59 | 75 | 59 | 22 | 550,000$/1yrs | |||
Guillaume Richard (R) | 0 | D | 100.00 | 65 | 68 | 85 | 64 | 68 | 53 | 81 | 47 | 25 | 37 | 41 | 58 | 39 | 34 | 34 | 58 | 75 | 58 | 22 | 475,000$/1yrs | |||
Angus Booth (R) | 0 | D | 100.00 | 65 | 66 | 79 | 64 | 66 | 53 | 67 | 47 | 25 | 39 | 40 | 65 | 38 | 39 | 39 | 58 | 75 | 58 | 21 | 826,667$/3yrs | |||
Dylan MacKinnon (R) | 0 | D | 100.00 | 65 | 73 | 67 | 64 | 72 | 53 | 83 | 44 | 25 | 33 | 40 | 58 | 37 | 39 | 39 | 58 | 75 | 58 | 20 | 550,000$/1yrs | |||
Mason Langenbrunner (R) | 0 | D | 100.00 | 65 | 72 | 80 | 64 | 72 | 52 | 75 | 46 | 25 | 36 | 41 | 55 | 39 | 33 | 33 | 57 | 75 | 57 | 22 | 450,000$/1yrs | |||
George Fegaras (R) | 0 | D | 100.00 | 65 | 76 | 84 | 63 | 76 | 54 | 74 | 47 | 25 | 37 | 40 | 53 | 38 | 32 | 32 | 57 | 75 | 57 | 21 | 475,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Ilya Fedotov (R) | 0 | LW | 100.00 | 64 | 65 | 81 | 63 | 65 | 54 | 55 | 54 | 34 | 47 | 57 | 45 | 54 | 37 | 37 | 57 | 75 | 57 | 22 | 475,000$/2yrs | |||
Connor Lockhart (R) | 0 | C | 100.00 | 64 | 62 | 81 | 62 | 62 | 50 | 80 | 48 | 25 | 44 | 47 | 39 | 44 | 40 | 40 | 57 | 75 | 57 | 22 | 475,000$/1yrs | |||
Jakub Stancl (R) | 0 | LW | 100.00 | 66 | 73 | 86 | 63 | 72 | 52 | 84 | 48 | 43 | 44 | 47 | 39 | 45 | 31 | 31 | 56 | 75 | 56 | 20 | 500,000$/1yrs | |||
Matthew Perkins (R) | 0 | C | 100.00 | 65 | 64 | 88 | 62 | 64 | 49 | 75 | 46 | 25 | 41 | 46 | 42 | 43 | 33 | 33 | 56 | 75 | 56 | 21 | 500,000$/1yrs | |||
Jan Kana | 0 | LW | 100.00 | 65 | 65 | 90 | 62 | 65 | 49 | 63 | 46 | 25 | 42 | 45 | 43 | 43 | 46 | 46 | 55 | 75 | 55 | 33 | 450,000$/1yrs | |||
Filip Barklund (R) | 0 | C/RW | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 75 | 40 | 22 | 450,000$/1yrs | |||
Josh Pillar (R) | 0 | C/RW | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 75 | 40 | 23 | 450,000$/1yrs | |||
Matthew Andonovski (R) | 0 | D | 83.27 | 65 | 74 | 59 | 64 | 74 | 51 | 86 | 45 | 25 | 34 | 40 | 54 | 38 | 38 | 38 | 58 | 75 | 58 | 20 | 475,000$/1yrs | |||
Nolan Collins (R) | 0 | D | 100.00 | 65 | 78 | 61 | 63 | 78 | 53 | 76 | 46 | 25 | 36 | 40 | 56 | 38 | 35 | 35 | 57 | 75 | 57 | 21 | 475,000$/1yrs | |||
Terrell Goldsmith (R) | 0 | D | 100.00 | 65 | 80 | 59 | 63 | 80 | 53 | 83 | 44 | 25 | 33 | 40 | 54 | 38 | 35 | 35 | 57 | 75 | 57 | 20 | 500,000$/2yrs | |||
Will Francis (R) | 0 | D | 100.00 | 65 | 78 | 73 | 65 | 78 | 50 | 43 | 43 | 25 | 31 | 39 | 42 | 37 | 33 | 33 | 51 | 75 | 51 | 24 | 450,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Melvin Strahl | 0 | 100.00 | 48 | 85 | 69 | 66 | 48 | 55 | 48 | 48 | 48 | 48 | 41 | 32 | 32 | 49 | 75 | 49 | 20 | 450,000$/1yrs |
Hunter Miska | 0 | 100.00 | 44 | 64 | 60 | 61 | 44 | 51 | 44 | 44 | 44 | 44 | 37 | 44 | 44 | 45 | 75 | 45 | 29 | 450,000$/1yrs |
| Scratches | ||||||||||||||||||||
Lukas Parik | 0 | 100.00 | 40 | 58 | 58 | 69 | 40 | 47 | 40 | 40 | 40 | 40 | 33 | 38 | 38 | 44 | 75 | 44 | 24 | 450,000$/1yrs |
Will Cranley | 0 | 100.00 | 38 | 63 | 60 | 68 | 38 | 45 | 38 | 38 | 38 | 38 | 31 | 35 | 35 | 43 | 75 | 43 | 23 | 841,667$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| 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 | MP | PPG | PPA | PPP | 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 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Angus Booth | D | 21 | 826,667$ | 826,667$ | 826,667$ | 826,667$ | |||||
| Ben MacDonald | C | 21 | 475,000$ | 475,000$ | |||||||
| Carter Mazur | LW | 23 | 905,833$ | 905,833$ | 905,833$ | ||||||
| Connor Lockhart | C | 22 | 475,000$ | 475,000$ | |||||||
| Daniel Ljungman | C/RW | 23 | 450,000$ | 450,000$ | |||||||
| David Gustafsson | C | 25 | 835,000$ | 835,000$ | 835,000$ | RFA | |||||
| David Spacek | D | 22 | 550,000$ | 550,000$ | |||||||
| Dylan MacKinnon | D | 20 | 550,000$ | 550,000$ | |||||||
| Dylan Peterson | C/RW | 23 | 867,500$ | 867,500$ | 867,500$ | ||||||
| Filip Barklund | C/RW | 22 | 450,000$ | 450,000$ | |||||||
| Fyodor Svechkov | C/LW | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
| Gabe Perreault | RW | 20 | 875,000$ | 875,000$ | 875,000$ | ||||||
| George Fegaras | D | 21 | 475,000$ | 475,000$ | |||||||
| Guillaume Richard | D | 22 | 475,000$ | 475,000$ | |||||||
| Hunter Miska | G | 29 | 450,000$ | 450,000$ | |||||||
| Ilya Fedotov | LW | 22 | 475,000$ | 475,000$ | 475,000$ | ||||||
| Jakub Stancl | LW | 20 | 500,000$ | 500,000$ | |||||||
| Jan Kana | LW | 33 | 450,000$ | 450,000$ | UFA | ||||||
| Josh Pillar | C/RW | 23 | 450,000$ | 450,000$ | |||||||
| Justin Kipkie | D | 19 | 450,000$ | 450,000$ | |||||||
| Lukas Parik | G | 24 | 450,000$ | 450,000$ | RFA | ||||||
| Mason Langenbrunner | D | 22 | 450,000$ | 450,000$ | |||||||
| Mason Primeau | C | 23 | 475,000$ | 475,000$ | RFA | ||||||
| Matthew Andonovski | D | 20 | 475,000$ | 475,000$ | |||||||
| Matthew Perkins | C | 21 | 500,000$ | 500,000$ | |||||||
| Melvin Strahl | G | 20 | 450,000$ | 450,000$ | |||||||
| Michael Callow | LW/RW | 21 | 475,000$ | 475,000$ | |||||||
| Michael Milne | LW | 22 | 861,667$ | 861,667$ | |||||||
| Nolan Collins | D | 21 | 475,000$ | 475,000$ | |||||||
| Terrell Goldsmith | D | 20 | 500,000$ | 500,000$ | 500,000$ | ||||||
| Tyson Hinds | D | 22 | 829,444$ | 829,444$ | 829,444$ | ||||||
| Will Cranley | G | 23 | 841,667$ | 841,667$ | |||||||
| Will Francis | D | 24 | 450,000$ | 450,000$ | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | nan | nan | nan | 0 | 0.000 | nan | nan | nan | 0 | 0 | 0 | 0 | 0 | 0 | nan | 0 | 0 | 0 | 0 | nan | nan | nan | nan | nan | nan | 0.00% | nan | nan | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | nan | nan | nan | nan | nan | nan | 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 |
| 1,914,278$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Astoria | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| 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 |
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,914,278$ | 1,914,278$ | 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$ | 13 | 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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