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![]() | Belleville Belleville Senators 5-6-0, 10pts · 5th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Oliver Wahlstrom | 0 | RW | 100.00 | 69 | 59 | 72 | 74 | 84 | 82 | 78 | 69 | 47 | 64 | 64 | 67 | 69 | 73 | 63 | 1 | 50 | 68 | 25 | 2,900,000$/3yrs | |||
Kieffer Bellows (A) | 0 | LW | 100.00 | 66 | 41 | 73 | 72 | 74 | 77 | 69 | 68 | 46 | 62 | 63 | 63 | 68 | 71 | 60 | 1 | 50 | 65 | 27 | 1,500,000$/1yrs | |||
Glenn Gawdin | 0 | C | 100.00 | 60 | 46 | 64 | 69 | 63 | 70 | 69 | 66 | 52 | 65 | 62 | 62 | 66 | 57 | 50 | 1 | 50 | 63 | 28 | 1,500,000$/2yrs | |||
Justin Kirkland | 0 | C | 100.00 | 68 | 44 | 77 | 70 | 71 | 74 | 68 | 65 | 61 | 64 | 59 | 63 | 64 | 58 | 50 | 1 | 50 | 63 | 28 | 1,300,000$/1yrs | |||
Alex Belzile | 0 | RW | 100.00 | 57 | 57 | 58 | 66 | 64 | 73 | 71 | 66 | 48 | 66 | 61 | 64 | 64 | 68 | 61 | 1 | 50 | 63 | 33 | 2,000,000$/4yrs | |||
Charles Hudon | 0 | C/LW/RW | 100.00 | 58 | 46 | 63 | 69 | 60 | 71 | 71 | 67 | 45 | 65 | 61 | 64 | 66 | 65 | 56 | 1 | 50 | 63 | 31 | 1,500,000$/3yrs | |||
Brett Murray | 0 | LW | 100.00 | 68 | 44 | 68 | 63 | 74 | 67 | 65 | 64 | 44 | 62 | 62 | 62 | 63 | 54 | 50 | 1 | 50 | 62 | 26 | 1,200,000$/2yrs | |||
Isak Rosen | 0 | RW | 100.00 | 59 | 41 | 74 | 72 | 59 | 63 | 61 | 66 | 45 | 64 | 62 | 59 | 66 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/1yrs | |||
Hugh McGing | 0 | LW | 100.00 | 55 | 46 | 63 | 67 | 57 | 67 | 65 | 63 | 43 | 63 | 56 | 59 | 62 | 54 | 50 | 1 | 50 | 60 | 26 | 1,200,000$/1yrs | |||
Rhett Gardner | 0 | C | 100.00 | 61 | 49 | 61 | 59 | 68 | 70 | 69 | 61 | 59 | 59 | 53 | 56 | 58 | 59 | 52 | 1 | 50 | 59 | 29 | 1,500,000$/1yrs | |||
Dakota Mermis | 0 | D | 100.00 | 61 | 48 | 69 | 68 | 67 | 73 | 72 | 62 | 40 | 58 | 55 | 69 | 62 | 76 | 59 | 1 | 50 | 64 | 31 | 1,000,000$/4yrs | |||
Tyler Wotherspoon | 0 | D | 100.00 | 63 | 41 | 74 | 65 | 65 | 72 | 72 | 62 | 40 | 60 | 54 | 68 | 60 | 65 | 58 | 1 | 50 | 63 | 32 | 2,000,000$/1yrs | |||
Noel Hoefenmayer | 0 | D | 100.00 | 63 | 46 | 66 | 66 | 65 | 66 | 65 | 62 | 40 | 59 | 56 | 68 | 62 | 54 | 50 | 1 | 50 | 62 | 26 | 1,500,000$/4yrs | |||
Wyatt Aamodt | 0 | D | 100.00 | 64 | 44 | 65 | 66 | 63 | 68 | 66 | 62 | 40 | 57 | 56 | 69 | 61 | 55 | 50 | 1 | 50 | 62 | 27 | 1,500,000$/3yrs | |||
Montana Onyebuchi | 0 | D | 100.00 | 65 | 62 | 53 | 65 | 68 | 66 | 64 | 61 | 40 | 53 | 54 | 67 | 60 | 53 | 50 | 1 | 50 | 61 | 25 | 1,500,000$/3yrs | |||
Ethan Prow | 0 | D | 100.00 | 53 | 40 | 73 | 66 | 59 | 69 | 69 | 59 | 40 | 56 | 53 | 61 | 60 | 65 | 58 | 1 | 50 | 60 | 32 | 2,000,000$/4yrs | |||
Madison Bowey | 0 | D | 100.00 | 55 | 45 | 56 | 59 | 60 | 65 | 64 | 57 | 40 | 54 | 52 | 60 | 56 | 60 | 53 | 1 | 50 | 58 | 30 | 2,400,000$/1yrs | |||
Michael Buchinger (R) | 0 | D | 100.00 | 57 | 42 | 64 | 62 | 61 | 61 | 59 | 58 | 40 | 55 | 55 | 58 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Isaac Ratcliffe | 0 | LW | 100.00 | 62 | 43 | 65 | 60 | 68 | 64 | 62 | 56 | 41 | 52 | 52 | 56 | 56 | 54 | 50 | 1 | 50 | 56 | 26 | 1,200,000$/2yrs | |||
Tyson Empey | 0 | LW | 100.00 | 57 | 53 | 59 | 60 | 64 | 69 | 67 | 56 | 41 | 51 | 52 | 54 | 56 | 63 | 53 | 1 | 50 | 56 | 30 | 2,000,000$/4yrs | |||
Bryce Kindopp | 0 | RW | 100.00 | 53 | 40 | 64 | 55 | 55 | 56 | 55 | 53 | 40 | 50 | 51 | 51 | 53 | 53 | 50 | 1 | 50 | 52 | 26 | 1,400,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Eric Comrie | 0 | 100.00 | 84 | 81 | 79 | 76 | 81 | 79 | 78 | 78 | 78 | 82 | 74 | 82 | 75 | 1 | 50 | 73 | 29 | 2,500,000$/1yrs |
Dylan Garand | 0 | 100.00 | 73 | 63 | 68 | 61 | 68 | 70 | 74 | 69 | 72 | 70 | 56 | 51 | 50 | 1 | 50 | 63 | 23 | 1,200,000$/3yrs |
| Scratches | ||||||||||||||||||||
Olivier Rodrigue | 0 | 100.00 | 74 | 64 | 69 | 57 | 68 | 69 | 73 | 69 | 71 | 70 | 60 | 52 | 50 | 1 | 50 | 62 | 24 | 1,200,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dave Lowry | 78 | 74 | 73 | 80 | 65 | 61 | 1 | CAN | 60 | 4 | 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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Charles Hudon | Belleville Senators (OTT) | C/LW/RW | 11 | 4 | 6 | 10 | 2 | 8 | 0 | 22 | 25 | 7 | 8 | 16.00% | 6 | 22.60 | 0 | 2 | 2 | 0 | 0 | 0 | 23 | 1 | 0 | 46.92% | 0 | 1 | 0.91 | 0 | 0 | 0.77 | |||
| 2 | Kieffer Bellows | Belleville Senators (OTT) | LW | 11 | 1 | 8 | 9 | 1 | 4 | 0 | 16 | 25 | 8 | 10 | 4.00% | 4 | 22.19 | 1 | 2 | 3 | 0 | 0 | 0 | 24 | 0 | 0 | 61.54% | 0 | 0 | 0.82 | 0 | 0 | 0.75 | |||
| 3 | Oliver Wahlstrom | Belleville Senators (OTT) | RW | 11 | 6 | 3 | 9 | -1 | 17 | 15 | 21 | 37 | 8 | 21 | 16.22% | 3 | 21.77 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 22.22% | 1 | 1 | 0.82 | 0 | 0 | 0.64 | |||
| 4 | Tyler Wotherspoon | Belleville Senators (OTT) | D | 11 | 1 | 5 | 6 | 2 | 5 | 5 | 12 | 11 | 4 | 1 | 9.09% | 15 | 25.24 | 1 | 1 | 2 | 0 | 0 | 0 | 28 | 1 | 0 | 0.00% | 0 | 0 | 0.55 | 0 | 0 | 0.48 | |||
| 5 | Isak Rosen | Belleville Senators (OTT) | RW | 11 | 3 | 2 | 5 | 5 | 0 | 0 | 15 | 29 | 5 | 13 | 10.34% | 1 | 14.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.45 | 0 | 0 | 0.74 | |||
| 6 | Glenn Gawdin | Belleville Senators (OTT) | C | 11 | 1 | 3 | 4 | -1 | 6 | 0 | 22 | 21 | 5 | 15 | 4.76% | 6 | 19.49 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 55.65% | 0 | 0 | 0.36 | 1 | 1 | 0.34 | |||
| 7 | Dakota Mermis | Belleville Senators (OTT) | D | 11 | 2 | 2 | 4 | -3 | 26 | 10 | 13 | 14 | 8 | 5 | 14.29% | 10 | 28.52 | 0 | 1 | 1 | 0 | 0 | 0 | 26 | 0 | 1 | 0.00% | 0 | 0 | 0.36 | 0 | 0 | -0.10 | |||
| 8 | Justin Kirkland | Belleville Senators (OTT) | C | 11 | 1 | 2 | 3 | 3 | 0 | 0 | 20 | 16 | 9 | 20 | 6.25% | 2 | 16.79 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 53.23% | 0 | 0 | 0.27 | 0 | 0 | 0.48 | |||
| 9 | Alex Belzile | Belleville Senators (OTT) | RW | 11 | 2 | 1 | 3 | -3 | 26 | 10 | 17 | 18 | 8 | 8 | 11.11% | 6 | 18.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 0 | 0 | 0.27 | 0 | 0 | -0.12 | |||
| 10 | Brett Murray | Belleville Senators (OTT) | LW | 11 | 2 | 0 | 2 | -3 | 4 | 0 | 14 | 14 | 4 | 6 | 14.29% | 3 | 19.17 | 1 | 0 | 1 | 0 | 0 | 0 | 16 | 1 | 0 | 50.00% | 0 | 0 | 0.18 | 0 | 0 | 0.10 | |||
| 11 | Rhett Gardner | Belleville Senators (OTT) | C | 11 | 0 | 1 | 1 | 1 | 0 | 0 | 7 | 0 | 0 | 1 | 0.00% | 1 | 7.53 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 57.14% | 0 | 0 | 0.09 | 0 | 0 | 0.11 | |||
| 12 | Hugh McGing | Belleville Senators (OTT) | LW | 11 | 0 | 1 | 1 | 4 | 6 | 0 | 15 | 10 | 2 | 11 | 0.00% | 0 | 15.24 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 33.33% | 0 | 0 | 0.09 | 0 | 0 | 0.20 | |||
| 13 | Noel Hoefenmayer | Belleville Senators (OTT) | D | 11 | 0 | 1 | 1 | -2 | 4 | 0 | 12 | 0 | 3 | 3 | 0.00% | 11 | 18.40 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | 0.00 | |||
| 14 | Montana Onyebuchi | Belleville Senators (OTT) | D | 11 | 0 | 1 | 1 | 4 | 14 | 10 | 15 | 5 | 3 | 4 | 0.00% | 9 | 19.75 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | 0.07 | |||
| 15 | Madison Bowey | Belleville Senators (OTT) | D | 11 | 0 | 0 | 0 | 4 | 8 | 0 | 9 | 6 | 1 | 6 | 0.00% | 11 | 21.24 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.09 | |||
| 16 | Ethan Prow | Belleville Senators (OTT) | D | 11 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 8.28 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | |||
| 17 | Michael Buchinger | Belleville Senators (OTT) | D | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 18 | Wyatt Aamodt | Belleville Senators (OTT) | D | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 198 | 23 | 36 | 59 | 14 | 128 | 50 | 231 | 231 | 75 | 132 | 9.96% | 88 | 16.73 | 4 | 7 | 11 | 184 | 0 | 0 | 0 | 188 | 5 | 1 | 50.00% | 506 | 58 | 60 | 1 | 2 | 0.36 | 1 | 1 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Dylan Garand | Belleville Senators (OTT) | 11 | 5 | 2 | 4 | 0.905 | 2.03 | 649 | 0 | 2 | 22 | 232 | 116 | 2 | 0 | 0.000 | 0 | 11 | 0 | 1 | 0 | 1 |
| 2 | Eric Comrie | Belleville Senators (OTT) | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 22 | 0 | 0 | 0 | 11 | 3 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
| Team Total or Average | 12 | 5 | 2 | 4 | 0.909 | 1.97 | 671 | 0 | 2 | 22 | 243 | 119 | 2 | 0 | 0.000 | 0 | 11 | 11 | 1 | 0 | 1 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Belzile | RW | 33 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Brett Murray | LW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Bryce Kindopp | RW | 26 | 1,400,000$ | 1,400,000$ | |||||||
| Charles Hudon | C/LW/RW | 31 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Dakota Mermis | D | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Dylan Garand | G | 23 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
| Eric Comrie | G | 29 | 2,500,000$ | 2,500,000$ | UFA | ||||||
| Ethan Prow | D | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Glenn Gawdin | C | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Hugh McGing | LW | 26 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| Isaac Ratcliffe | LW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Isak Rosen | RW | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Justin Kirkland | C | 28 | 1,300,000$ | 1,300,000$ | UFA | ||||||
| Kieffer Bellows | LW | 27 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Madison Bowey | D | 30 | 2,400,000$ | 2,400,000$ | UFA | ||||||
| Michael Buchinger | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Montana Onyebuchi | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Noel Hoefenmayer | D | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Oliver Wahlstrom | RW | 25 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||||
| Olivier Rodrigue | G | 24 | 1,200,000$ | 1,200,000$ | |||||||
| Rhett Gardner | C | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Tyler Wotherspoon | D | 32 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| Tyson Empey | LW | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Wyatt Aamodt | D | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Wolves | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 0.200 | 6 | 11 | 17 | 0 | 1 | 5 | 4 | 14 | 0 | 94 | 49 | 80 | 98 | 4 | 117 | 52 | 47 | 102 | 10 | 2 | 20.00% | 16 | 3 | 81.25% | 0 | 94 | 186 | 50.54% | 100 | 198 | 50.51% | 59 | 122 | 48.36% | 204 | 89 | 213 | 119 | 253 | 126 | 33.3% | 6.4% | 90.6% | 97.0 | Unlucky |
| 2 | Canucks | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 11 | 6 | 8 | 0.667 | 17 | 25 | 42 | 0 | 1 | 5 | 4 | 14 | 0 | 137 | 49 | 80 | 98 | 4 | 126 | 36 | 81 | 129 | 12 | 2 | 16.67% | 13 | 3 | 76.92% | 0 | 94 | 186 | 50.54% | 100 | 198 | 50.51% | 59 | 122 | 48.36% | 204 | 89 | 213 | 119 | 253 | 126 | 65.2% | 12.4% | 91.3% | 103.7 | LUCKY |
| _Vs Division | 5 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 8 | 0.800 | 6 | 11 | 17 | 0 | 1 | 5 | 4 | 14 | 0 | 94 | 49 | 80 | 98 | 4 | 117 | 52 | 47 | 102 | 10 | 2 | 20.00% | 16 | 3 | 81.25% | 0 | 94 | 186 | 50.54% | 100 | 198 | 50.51% | 59 | 122 | 48.36% | 204 | 89 | 213 | 119 | 253 | 126 | 33.3% | 6.4% | 90.6% | 97.0 | Unlucky | |
| _Vs Conference | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 23 | 22 | 1 | 10 | 0.455 | 23 | 36 | 59 | 0 | 2 | 5 | 4 | 14 | 0 | 231 | 49 | 80 | 98 | 4 | 243 | 88 | 128 | 231 | 22 | 4 | 18.18% | 29 | 6 | 79.31% | 0 | 94 | 186 | 50.54% | 100 | 198 | 50.51% | 59 | 122 | 48.36% | 204 | 89 | 213 | 119 | 253 | 126 | 54.3% | 10.0% | 90.9% | 100.9 | FUN | |
| _Since Last GM Reset | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 23 | 22 | 1 | 10 | 0.455 | 23 | 36 | 59 | 0 | 2 | 5 | 4 | 14 | 0 | 231 | 49 | 80 | 98 | 4 | 243 | 88 | 128 | 231 | 22 | 4 | 18.18% | 29 | 6 | 79.31% | 0 | 94 | 186 | 50.54% | 100 | 198 | 50.51% | 59 | 122 | 48.36% | 204 | 89 | 213 | 119 | 253 | 126 | 54.3% | 10.0% | 90.9% | 100.9 | FUN | |
| Total | 11 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 23 | 22 | 1 | 10 | 0.455 | 23 | 36 | 59 | 0 | 2 | 5 | 4 | 14 | 0 | 231 | 49 | 80 | 98 | 4 | 243 | 88 | 128 | 231 | 22 | 4 | 18.18% | 29 | 6 | 79.31% | 0 | 94 | 186 | 50.54% | 100 | 198 | 50.51% | 59 | 122 | 48.36% | 204 | 89 | 213 | 119 | 253 | 126 | 54.3% | 10.0% | 90.9% | 100.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 18 |
| Neutral Zone | 23 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 186 |
| Neutral Zone Start | 122 |
| Defensive Zone Start | 198 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 253 |
| Faceoffs Lost | 253 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 4.5 | 9.57 |
| 2nd Period | 11.7 | 20.31 |
| 3rd Period | 20.6 | 30.68 |
| Overtime | 21.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 0.8 | 1.65 |
| 3rd Period | 2.1 | 2.67 |
| Overtime | 2.1 | 2.83 |
| Even Strenght Goal | 19 |
|---|---|
| PP Goal | 4 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 3 | 2 |
| Lost | 2 | 4 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 22 |
|---|---|
| PP Goal | 4 |
| PK Attempt | 29 |
| PK Goal Against | 6 |
| Home | |
|---|---|
| Shots For | 21.0 |
| Shots Against | 22.1 |
| Goals For | 2.1 |
| Goals Against | 2.0 |
| Hits | 21.0 |
| Shots Blocked | 8.0 |
| Pim | 11.6 |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Wed, Oct 8 | OTT | @ | VAN | OTT1,VAN4 | RECAP |
| Thu, Oct 9 | OTT | @ | VAN | OTT2,VAN1 | RECAP |
| Fri, Oct 10 | VAN | @ | OTT | VAN1,OTT4 | RECAP |
| Sat, Oct 11 | VAN | @ | OTT | VAN3,OTT2 (OT) | RECAP |
| Sun, Oct 12 | OTT | @ | VAN | OTT6,VAN2 | RECAP |
| Mon, Oct 13 | VAN | @ | OTT | VAN0,OTT2 | RECAP |
| Wed, Oct 15 | OTT | @ | CAR | OTT1,CAR4 | RECAP |
| Thu, Oct 16 | OTT | @ | CAR | OTT2,CAR3 (OT) | RECAP |
| Fri, Oct 17 | CAR | @ | OTT | CAR0,OTT1 | RECAP |
| Sat, Oct 18 | CAR | @ | OTT | CAR2,OTT1 (OT) | RECAP |
| Sun, Oct 19 | OTT | @ | CAR | OTT1,CAR2 (OT) | RECAP |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,795,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Belleville | |
| 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 | 0 | |||
| 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 |
| 3,795,000$ | 3,795,000$ | 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$ | 6 | 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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