![]() | Syracuse Crunch 0-0-0, 0pts · 9th in Conference 1 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Jones | 0 | C/LW | 100.00 | 73 | 44 | 81 | 74 | 74 | 76 | 72 | 67 | 69 | 61 | 61 | 65 | 68 | 67 | 58 | 1 | 50 | 66 | 27 | 1,800,000$/3yrs | |||
Benoit-Olivier Groulx | 0 | C | 100.00 | 65 | 42 | 74 | 71 | 77 | 80 | 68 | 66 | 63 | 62 | 62 | 66 | 66 | 64 | 56 | 1 | 50 | 65 | 26 | ||||
Rafaël Harvey-Pinard | 0 | C/LW/RW | 100.00 | 61 | 41 | 78 | 70 | 66 | 73 | 67 | 63 | 44 | 62 | 57 | 63 | 64 | 60 | 50 | 1 | 50 | 62 | 27 | ||||
Liam Foudy | 0 | C/RW | 100.00 | 57 | 41 | 74 | 68 | 63 | 68 | 66 | 65 | 45 | 61 | 62 | 57 | 65 | 54 | 50 | 1 | 50 | 61 | 26 | 1,250,000$/2yrs | |||
Garrett Pilon | 0 | C | 100.00 | 56 | 42 | 70 | 65 | 62 | 70 | 68 | 63 | 60 | 64 | 55 | 57 | 61 | 57 | 53 | 1 | 50 | 60 | 28 | 1,250,000$/2yrs | |||
Dylan Gambrell | 0 | C | 100.00 | 55 | 41 | 71 | 64 | 62 | 68 | 66 | 63 | 59 | 61 | 56 | 56 | 61 | 59 | 50 | 1 | 50 | 59 | 29 | 1,700,000$/3yrs | |||
Ty Mueller | 0 | C/RW | 100.00 | 58 | 42 | 69 | 66 | 63 | 64 | 62 | 63 | 60 | 62 | 57 | 56 | 62 | 51 | 50 | 1 | 50 | 59 | 23 | 870,000$/1yrs | |||
Callahan Burke | 0 | C | 100.00 | 55 | 41 | 73 | 66 | 60 | 69 | 68 | 62 | 43 | 57 | 57 | 55 | 62 | 57 | 50 | 1 | 50 | 59 | 29 | 2,100,000$/3yrs | |||
Carson Meyer | 0 | RW | 100.00 | 55 | 43 | 70 | 64 | 62 | 69 | 66 | 62 | 43 | 60 | 57 | 52 | 61 | 57 | 51 | 1 | 50 | 59 | 28 | 2,600,000$/3yrs | |||
Joel Teasdale | 0 | LW | 100.00 | 59 | 44 | 68 | 61 | 65 | 67 | 66 | 61 | 42 | 55 | 55 | 55 | 59 | 54 | 50 | 1 | 50 | 58 | 27 | ||||
Xavier Simoneau | 0 | C | 100.00 | 58 | 50 | 60 | 68 | 57 | 66 | 64 | 58 | 58 | 57 | 52 | 60 | 59 | 53 | 50 | 1 | 50 | 58 | 25 | ||||
Jake Leschyshyn | 0 | C | 100.00 | 54 | 42 | 70 | 63 | 62 | 68 | 66 | 61 | 53 | 55 | 57 | 50 | 60 | 55 | 50 | 1 | 50 | 57 | 27 | 1,200,000$/1yrs | |||
Yan Kuznetsov | 0 | D | 100.00 | 70 | 41 | 75 | 71 | 81 | 82 | 72 | 70 | 40 | 64 | 64 | 74 | 68 | 56 | 50 | 1 | 50 | 69 | 24 | 1,500,000$/3yrs | |||
Daemon Hunt | 0 | D | 100.00 | 60 | 41 | 78 | 71 | 74 | 75 | 66 | 66 | 40 | 64 | 57 | 68 | 65 | 56 | 50 | 1 | 50 | 65 | 24 | ||||
Christian Wolanin | 0 | D | 100.00 | 59 | 42 | 71 | 68 | 62 | 71 | 70 | 64 | 40 | 64 | 56 | 69 | 63 | 65 | 55 | 1 | 50 | 64 | 31 | 1,700,000$/3yrs | |||
Frederic Brunet | 0 | D | 100.00 | 66 | 43 | 70 | 71 | 65 | 63 | 61 | 65 | 40 | 62 | 60 | 69 | 66 | 50 | 50 | 1 | 50 | 63 | 22 | 975,000$/1yrs | |||
Gavin White | 0 | D | 100.00 | 60 | 41 | 72 | 65 | 64 | 64 | 62 | 61 | 40 | 54 | 53 | 62 | 60 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/1yrs | |||
Ben Harpur | 0 | D | 100.00 | 58 | 41 | 58 | 53 | 67 | 62 | 60 | 53 | 40 | 50 | 51 | 57 | 52 | 65 | 52 | 1 | 50 | 56 | 31 | ||||
| Scratches | ||||||||||||||||||||||||||
Matvei Gridin (R) | 0 | LW/RW | 100.00 | 60 | 40 | 80 | 73 | 77 | 83 | 64 | 72 | 49 | 72 | 66 | 62 | 70 | 54 | 50 | 1 | 50 | 67 | 20 | ||||
Coulson Pitre | 0 | RW | 100.00 | 59 | 40 | 71 | 65 | 60 | 60 | 57 | 57 | 41 | 54 | 52 | 53 | 58 | 50 | 50 | 1 | 50 | 56 | 21 | 860,000$/1yrs | |||
Nick Swaney | 0 | RW | 100.00 | 52 | 40 | 66 | 58 | 54 | 61 | 59 | 55 | 41 | 52 | 51 | 51 | 54 | 55 | 50 | 1 | 50 | 54 | 28 | 2,600,000$/3yrs | |||
Tyce Thompson | 0 | RW | 100.00 | 51 | 53 | 52 | 57 | 55 | 61 | 59 | 56 | 41 | 53 | 51 | 50 | 54 | 53 | 50 | 1 | 50 | 53 | 26 | 1,700,000$/3yrs | |||
Jakub Dvorak | 0 | D | 100.00 | 66 | 43 | 66 | 63 | 70 | 61 | 59 | 58 | 40 | 52 | 53 | 64 | 58 | 50 | 50 | 1 | 50 | 60 | 21 | 870,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Halverson | 0 | 100.00 | 73 | 70 | 73 | 74 | 74 | 74 | 75 | 73 | 74 | 73 | 70 | 63 | 56 | 1 | 50 | 67 | 30 | 1,200,000$/3yrs |
Clay Stevenson | 0 | 100.00 | 74 | 67 | 72 | 65 | 71 | 71 | 73 | 70 | 72 | 72 | 61 | 55 | 50 | 1 | 50 | 64 | 27 | |
| Scratches | ||||||||||||||||||||
Pavel Cajan | 0 | 100.00 | 67 | 56 | 56 | 62 | 62 | 62 | 64 | 60 | 64 | 61 | 55 | 50 | 50 | 1 | 50 | 57 | 23 | 1,200,000$/3yrs |
| 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% | EG | HT | P/GP | PSG | PSS | GSAVG |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ben Harpur | D | 31 | 0$ | UFA | |||||||
| Ben Jones | C/LW | 27 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | ||||
| Benoit-Olivier Groulx | C | 26 | 0$ | ||||||||
| Brandon Halverson | G | 30 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Callahan Burke | C | 29 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | ||||
| Carson Meyer | RW | 28 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | ||||
| Christian Wolanin | D | 31 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | ||||
| Clay Stevenson | G | 27 | 0$ | UFA | |||||||
| Coulson Pitre | RW | 21 | 860,000$ | 975,000$ | RFA | ||||||
| Daemon Hunt | D | 24 | 0$ | ||||||||
| Dylan Gambrell | C | 29 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | ||||
| Frederic Brunet | D | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Garrett Pilon | C | 28 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
| Gavin White | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Jake Leschyshyn | C | 27 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| Jakub Dvorak | D | 21 | 870,000$ | 975,000$ | RFA | ||||||
| Joel Teasdale | LW | 27 | 0$ | UFA | |||||||
| Liam Foudy | C/RW | 26 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
| Matvei Gridin | LW/RW | 20 | 942,500$ | RFA | |||||||
| Nick Swaney | RW | 28 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | ||||
| Pavel Cajan | G | 23 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
| Rafaël Harvey-Pinard | C/LW/RW | 27 | 0$ | UFA | |||||||
| Ty Mueller | C/RW | 23 | 870,000$ | 975,000$ | RFA | ||||||
| Tyce Thompson | RW | 26 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | ||||
| Xavier Simoneau | C | 25 | 0$ | ||||||||
| Yan Kuznetsov | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ |
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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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 0 |
| Neutral Zone | 0 |
| Defensive Zone | 0 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | 0 |
| Without Puck | 0 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 0.0 | 9.57 |
| 2nd Period | 0.0 | 20.31 |
| 3rd Period | 0.0 | 30.68 |
| Overtime | 0.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.0 | 0.64 |
| 2nd Period | 0.0 | 1.65 |
| 3rd Period | 0.0 | 2.67 |
| Overtime | 0.0 | 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 | 0.0 |
| Shots Against | 0.0 |
| Goals For | 0.0 |
| Goals Against | 0.0 |
| Hits | 0.0 |
| Shots Blocked | 0.0 |
| Pim | 0.0 |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,667,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Syracuse | |
| 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 |
| 2,667,500$ | 2,667,500$ | 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$ | 0 | 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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