 | Belleville Senators 0-0-0, 0pts · 3rd in Conference Est |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Will Cuylle (R) | 50 | LW | 100.00 | 84 | 63 | 74 | 67 | 85 | 87 | 89 | 64 | 59 | 60 | 65 | 61 | 66 | 62 | 64 | 68 | 75 | 0 | 22 | 828,333$/1yrs | |||
| Amadeus Lombardi (R) | 52 | C | 100.00 | 63 | 35 | 94 | 58 | 63 | 71 | 73 | 57 | 69 | 61 | 53 | 54 | 56 | 61 | 63 | 60 | 75 | 0 | 21 | 838,833$/2yrs | |||
| Filip Mesar (R) | 15 | RW | 100.00 | 56 | 38 | 86 | 62 | 68 | 68 | 80 | 62 | 52 | 57 | 56 | 54 | 59 | 60 | 60 | 75 | 75 | 0 | 20 | 918,333$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
 Brandon Gignac | 80 | C/LW | 100.00 | 61 | 37 | 84 | 65 | 67 | 84 | 82 | 64 | 72 | 63 | 61 | 66 | 62 | 67 | 74 | 55 | 75 | 0 | 26 | 775,000$/1yrs | |||
| Dylan Wendt (R) | 0 | RW | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 75 | 0 | 23 | 870,000$/2yrs | |||
 Riley Tufte | 0 | LW | 100.00 | 84 | 80 | 66 | 62 | 98 | 86 | 85 | 63 | 65 | 60 | 61 | 64 | 62 | 66 | 67 | 77 | 75 | 0 | 26 | ||||
 Charles Hudon | 18 | LW/RW | 100.00 | 59 | 39 | 75 | 67 | 69 | 94 | 83 | 65 | 72 | 66 | 64 | 63 | 68 | 70 | 72 | 47 | 75 | 0 | 30 | ||||
 Tyler Madden | 89 | C | 100.00 | 63 | 36 | 94 | 61 | 63 | 82 | 87 | 58 | 64 | 57 | 60 | 54 | 59 | 65 | 67 | 64 | 75 | 0 | 24 | ||||
| Luke Philp | 24 | C/RW | 100.00 | 66 | 36 | 84 | 64 | 67 | 79 | 73 | 63 | 58 | 65 | 59 | 56 | 61 | 69 | 71 | 36 | 75 | 0 | 28 | 815,000$/1yrs | |||
| Cameron Morrison (R) | 84 | LW | 100.00 | 76 | 39 | 89 | 59 | 85 | 72 | 74 | 58 | 54 | 57 | 56 | 53 | 55 | 66 | 68 | 72 | 75 | 0 | 25 | ||||
 Nathan Walker | 78 | LW | 100.00 | 72 | 46 | 84 | 67 | 68 | 81 | 85 | 65 | 83 | 66 | 67 | 64 | 68 | 70 | 72 | 51 | 75 | 0 | 30 | ||||
 Marc McLaughlin (R) | 26 | C | 100.00 | 69 | 37 | 84 | 64 | 74 | 76 | 86 | 59 | 65 | 58 | 63 | 62 | 59 | 66 | 67 | 42 | 75 | 0 | 24 | ||||
| Vasily Podkolzin | 92 | RW | 100.00 | 76 | 38 | 89 | 66 | 75 | 86 | 84 | 64 | 63 | 60 | 62 | 61 | 62 | 63 | 65 | 85 | 75 | 0 | 23 | 1,000,000$/2yrs | |||
 John Hayden | 86 | C/LW/RW | 100.00 | 76 | 81 | 69 | 62 | 88 | 81 | 82 | 59 | 63 | 58 | 64 | 62 | 61 | 70 | 71 | 53 | 75 | 0 | 29 | ||||
 Mike Vecchione | 90 | C | 100.00 | 63 | 38 | 87 | 62 | 69 | 82 | 85 | 60 | 64 | 62 | 61 | 63 | 62 | 71 | 73 | 34 | 75 | 0 | 31 | ||||
| Adam Ginning (R) | 6 | D | 100.00 | 73 | 42 | 70 | 63 | 83 | 80 | 85 | 59 | 30 | 58 | 62 | 64 | 50 | 65 | 66 | 69 | 75 | 0 | 24 | 787,500$/2yrs | |||
 Cameron Crotty | 82 | D | 100.00 | 79 | 39 | 85 | 59 | 80 | 75 | 82 | 58 | 30 | 57 | 56 | 62 | 51 | 65 | 67 | 62 | 75 | 0 | 25 | ||||
| Jeremy Davies | 67 | D | 100.00 | 57 | 39 | 66 | 59 | 68 | 77 | 85 | 57 | 30 | 58 | 56 | 60 | 49 | 68 | 70 | 41 | 75 | 0 | 27 | ||||
 Noel Hoefenmayer (R) | 87 | D | 100.00 | 64 | 44 | 61 | 58 | 73 | 75 | 81 | 57 | 30 | 59 | 56 | 55 | 48 | 65 | 67 | 58 | 75 | 0 | 25 | ||||
| Nick Wolff | 92 | D | 100.00 | 86 | 71 | 59 | 56 | 95 | 63 | 75 | 55 | 30 | 54 | 51 | 62 | 45 | 68 | 70 | 36 | 75 | 0 | 27 | ||||
| Kevin Korchinski (R) | 0 | D | 100.00 | 58 | 35 | 92 | 67 | 74 | 90 | 74 | 65 | 30 | 66 | 59 | 63 | 51 | 59 | 61 | 89 | 75 | 0 | 20 | 918,333$/2yrs | |||
| Luke Krys (R) | 0 | D | 100.00 | 68 | 42 | 71 | 56 | 77 | 68 | 61 | 55 | 30 | 53 | 54 | 57 | 45 | 64 | 66 | 43 | 75 | 0 | 23 | 870,000$/2yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Justus Annunen | 51 | 100.00 | 80 | 85 | 81 | 88 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 64 | 71 | 65 | 75 | 0 | 24 | 837,500$/2yrs |
| Scratches | ||||||||||||||||||||
| Cooper Black | 0 | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 23 | 950,000$/2yrs |
| Brandon Bussi | 38 | 100.00 | 79 | 84 | 80 | 91 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 66 | 75 | 42 | 75 | 0 | 26 | 775,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Troy Mann | 76 | 63 | 70 | 65 | 83 | 78 | 68 | CAN | 54 | 1 | 500,000$ |
| 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 | MP | 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 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Ginning | D | 24 | 787,500$ | 787,500$ | 787,500$ |  RFA | |||||
Amadeus Lombardi  | C | 21 | 838,833$ | 838,833$ | 838,833$ | RFA | |||||
| Brandon Bussi | G | 26 | 775,000$ | 775,000$ | RFA | ||||||
| Brandon Gignac | C/LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
| Cameron Crotty | D | 25 | 0$ | RFA | |||||||
| Cameron Morrison | LW | 25 | 0$ | RFA | |||||||
| Charles Hudon | LW/RW | 30 | 0$ | UFA | |||||||
| Cooper Black | G | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
| Dylan Wendt | RW | 23 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Filip Mesar | RW | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
| Jeremy Davies | D | 27 | 0$ | UFA | |||||||
| John Hayden | C/LW/RW | 29 | 0$ | UFA | |||||||
| Justus Annunen | G | 24 | 837,500$ | 837,500$ | 837,500$ | RFA | |||||
| Kevin Korchinski | D | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
| Luke Krys | D | 23 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Luke Philp | C/RW | 28 | 815,000$ | 815,000$ | UFA | ||||||
| Marc McLaughlin | C | 24 | 0$ | RFA | |||||||
| Mike Vecchione | C | 31 | 0$ | UFA | |||||||
| Nathan Walker | LW | 30 | 0$ | UFA | |||||||
| Nick Wolff | D | 27 | 0$ | UFA | |||||||
| Noel Hoefenmayer | D | 25 | 0$ | RFA | |||||||
| Riley Tufte | LW | 26 | 0$ | RFA | |||||||
| Tyler Madden | C | 24 | 0$ | RFA | |||||||
| Vasily Podkolzin | RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
| Will Cuylle | LW | 22 | 828,333$ | 828,333$ | RFA |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
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| ||||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
|||||||
| 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 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 855,882$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Belleville | |
| Capacity | 8000 | |
| Season Ticket Holders | 20% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
 |
| Arena Capacity | 5000 | 3000 | |||
| 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 | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 36 | 0 - 0.00% | 0$ | 0$ | 8000 | 110 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 855,882$ | 855,882$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 4,389$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 192 | 6,953$ | 1,355,835$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,355,835$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
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Rookie
Injured 
Cold Streak 
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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