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Full Scoreboard »» |
![]() | Belleville Belleville Senators 2-1-1, 5pts · 8th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 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$/3yrs | |||
![]() | 0 | LW | 100.00 | 66 | 41 | 73 | 72 | 74 | 77 | 69 | 68 | 46 | 62 | 63 | 63 | 68 | 71 | 60 | 1 | 50 | 65 | 27 | 1,500,000$/1yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | C | 100.00 | 68 | 44 | 77 | 70 | 71 | 74 | 68 | 65 | 61 | 64 | 59 | 63 | 64 | 58 | 50 | 1 | 50 | 63 | 28 | 1,300,000$/1yrs | |||
![]() | 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$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 46 | 63 | 69 | 60 | 71 | 71 | 67 | 45 | 65 | 61 | 64 | 66 | 65 | 56 | 1 | 50 | 63 | 31 | 1,500,000$/3yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | RW | 100.00 | 59 | 41 | 74 | 72 | 59 | 63 | 61 | 66 | 45 | 64 | 62 | 59 | 66 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/1yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 49 | 61 | 59 | 68 | 70 | 69 | 61 | 59 | 59 | 53 | 56 | 58 | 59 | 52 | 1 | 50 | 59 | 29 | 1,500,000$/1yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | LW | 100.00 | 57 | 41 | 61 | 57 | 60 | 53 | 52 | 54 | 41 | 53 | 52 | 53 | 54 | 50 | 50 | 1 | 50 | 53 | 22 | 1,500,000$/4yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 46 | 66 | 66 | 65 | 66 | 65 | 62 | 40 | 59 | 56 | 68 | 62 | 54 | 50 | 1 | 50 | 62 | 26 | 1,500,000$/4yrs | |||
![]() | 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$/3yrs | |||
![]() | 0 | D | 100.00 | 65 | 62 | 53 | 65 | 68 | 66 | 64 | 61 | 40 | 53 | 54 | 67 | 60 | 53 | 50 | 1 | 50 | 61 | 25 | 1,500,000$/3yrs | |||
![]() | 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$/4yrs | |||
![]() | 0 | D | 100.00 | 55 | 45 | 56 | 59 | 60 | 65 | 64 | 57 | 40 | 54 | 52 | 60 | 56 | 60 | 53 | 1 | 50 | 58 | 30 | 2,400,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 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$/4yrs | |||
![]() | 0 | RW | 100.00 | 53 | 40 | 64 | 55 | 55 | 56 | 55 | 53 | 40 | 50 | 51 | 51 | 53 | 53 | 50 | 1 | 50 | 52 | 26 | 1,400,000$/1yrs | |||
![]() | 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$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 84 | 81 | 79 | 76 | 81 | 79 | 78 | 78 | 78 | 82 | 74 | 82 | 75 | 1 | 50 | 73 | 29 | 2,500,000$/1yrs |
![]() | 0 | 100.00 | 73 | 63 | 68 | 61 | 68 | 70 | 74 | 69 | 72 | 70 | 56 | 51 | 50 | 1 | 50 | 63 | 23 | 1,200,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 74 | 64 | 69 | 57 | 68 | 69 | 73 | 69 | 71 | 70 | 60 | 52 | 50 | 1 | 50 | 62 | 24 | 1,200,000$/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 |
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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 |
# | 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 | ![]() | C/LW/RW | 4 | 1 | 5 | 6 | -3 | 0 | 0 | 11 | 10 | 6 | 12 | 10.00% | 3 | 25.17 | 0 | 4 | 4 | 0 | 0 | 0 | 5 | 1 | 0 | 44.76% | 0 | 0 | 1.50 | 0 | 1 | 1.09 | |||
2 | Kieffer Bellows | ![]() | LW | 4 | 3 | 2 | 5 | -3 | 5 | 5 | 6 | 14 | 8 | 3 | 21.43% | 3 | 20.99 | 2 | 1 | 3 | 0 | 0 | 0 | 6 | 0 | 0 | 50.00% | 0 | 0 | 1.25 | 0 | 1 | 0.79 | |||
3 | Justin Kirkland | ![]() | C | 4 | 0 | 4 | 4 | 2 | 0 | 0 | 4 | 7 | 3 | 10 | 0.00% | 1 | 19.13 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 38.10% | 0 | 0 | 1.00 | 0 | 1 | 1.04 | |||
4 | Oliver Wahlstrom | ![]() | RW | 4 | 3 | 1 | 4 | -3 | 2 | 0 | 8 | 18 | 0 | 11 | 16.67% | 4 | 21.56 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 52.17% | 0 | 0 | 1.00 | 0 | 1 | 0.86 | |||
5 | Tyler Wotherspoon | ![]() | D | 4 | 1 | 2 | 3 | 0 | 2 | 0 | 3 | 6 | 0 | 3 | 16.67% | 6 | 27.97 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.75 | 0 | 0 | 0.63 | |||
6 | Isak Rosen | ![]() | RW | 4 | 1 | 2 | 3 | 1 | 0 | 0 | 10 | 6 | 2 | 5 | 16.67% | 0 | 13.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.75 | 0 | 0 | 0.81 | |||
7 | Alex Belzile | ![]() | RW | 4 | 1 | 1 | 2 | 0 | 2 | 0 | 4 | 5 | 1 | 1 | 20.00% | 1 | 15.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 1 | 0.34 | |||
8 | Brett Murray | ![]() | LW | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 4 | 3 | 0 | 0.00% | 3 | 16.49 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 40.00% | 0 | 0 | 0.25 | 0 | 0 | 0.27 | |||
9 | Madison Bowey | ![]() | D | 4 | 0 | 1 | 1 | -2 | 8 | 0 | 3 | 3 | 1 | 1 | 0.00% | 9 | 18.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.16 | |||
10 | Ethan Prow | ![]() | D | 4 | 1 | 0 | 1 | -2 | 0 | 0 | 2 | 5 | 3 | 3 | 20.00% | 1 | 18.70 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.15 | |||
11 | Rhett Gardner | ![]() | C | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 3 | 4 | 20.00% | 2 | 15.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.33% | 0 | 0 | 0.25 | 0 | 0 | 0.37 | |||
12 | Isaac Ratcliffe | ![]() | LW | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 1 | 4 | 0.00% | 1 | 13.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.18 | |||
13 | Glenn Gawdin | ![]() | C | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 3 | 2 | 1 | 0.00% | 1 | 10.01 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
14 | Michael Buchinger | ![]() | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 10.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
15 | Bryce Kindopp | ![]() | RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
16 | Hugh McGing | ![]() | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 3 | 0.00% | 2 | 14.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.11 | |||
17 | Noel Hoefenmayer | ![]() | D | 4 | 0 | 0 | 0 | -2 | 2 | 0 | 5 | 2 | 2 | 2 | 0.00% | 10 | 26.47 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | |||
18 | Montana Onyebuchi | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 0 | 1 | 0.00% | 0 | 13.45 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.06 | |||
19 | Roby Jarventie | ![]() | LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
20 | Tyson Empey | ![]() | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
21 | Wyatt Aamodt | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 14.09 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
Team Total or Average | 72 | 12 | 19 | 31 | -12 | 21 | 5 | 82 | 93 | 36 | 64 | 12.90% | 47 | 16.89 | 4 | 6 | 10 | 81 | 0 | 0 | 0 | 43 | 2 | 0 | 44.71% | 208 | 24 | 18 | 0 | 0 | 0.51 | 0 | 5 |
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 | Eric Comrie | ![]() | 3 | 2 | 0 | 0 | 0.929 | 2.61 | 138 | 2 | 0 | 6 | 85 | 41 | 0 | 0 | 0.000 | 0 | 2 | 2 | 1 | 0 | 0 |
2 | Dylan Garand | ![]() | 2 | 0 | 1 | 1 | 0.816 | 3.78 | 111 | 0 | 0 | 7 | 38 | 20 | 0 | 0 | 0.800 | 5 | 2 | 2 | 0 | 0 | 0 |
Team Total or Average | 5 | 2 | 1 | 1 | 0.894 | 3.13 | 249 | 2 | 0 | 13 | 123 | 61 | 0 | 0 | 0.800 | 5 | 4 | 4 | 1 | 0 | 0 |
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 | ||||
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$ | RFA | ||||
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 | ||||||
Roby Jarventie | LW | 22 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
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 |
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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 |
# | 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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1 | ![]() | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 0 | 6 | 5 | 1 | 44 | 16 | 37 | 36 | 9 | 55 | 18 | 12 | 38 | 9 | 4 | 44.44% | 6 | 2 | 66.67% | 0 | 38 | 74 | 51.35% | 31 | 75 | 41.33% | 24 | 51 | 47.06% | 75 | 32 | 81 | 43 | 92 | 46 | 37.5% | 15.9% | 87.3% | 103.2 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 6 | 5 | 1 | 27 | 16 | 37 | 36 | 9 | 38 | 11 | 2 | 23 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 38 | 74 | 51.35% | 31 | 75 | 41.33% | 24 | 51 | 47.06% | 75 | 32 | 81 | 43 | 92 | 46 | 75.0% | 11.1% | 97.4% | 108.5 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 6 | 5 | 1 | 22 | 16 | 37 | 36 | 9 | 30 | 18 | 9 | 21 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 38 | 74 | 51.35% | 31 | 75 | 41.33% | 24 | 51 | 47.06% | 75 | 32 | 81 | 43 | 92 | 46 | 28.6% | 9.1% | 80.0% | 89.1 | FUN |
_Vs Division | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 5 | 1.250 | 7 | 10 | 17 | 0 | 0 | 0 | 6 | 5 | 1 | 44 | 16 | 37 | 36 | 9 | 55 | 18 | 12 | 38 | 9 | 4 | 44.44% | 6 | 2 | 66.67% | 0 | 38 | 74 | 51.35% | 31 | 75 | 41.33% | 24 | 51 | 47.06% | 75 | 32 | 81 | 43 | 92 | 46 | 37.5% | 15.9% | 87.3% | 103.2 | FUN | |
_Vs Conference | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 10 | 8 | 2 | 5 | 0.833 | 10 | 15 | 25 | 0 | 0 | 0 | 6 | 5 | 1 | 71 | 16 | 37 | 36 | 9 | 93 | 29 | 14 | 61 | 11 | 4 | 36.36% | 7 | 2 | 71.43% | 0 | 38 | 74 | 51.35% | 31 | 75 | 41.33% | 24 | 51 | 47.06% | 75 | 32 | 81 | 43 | 92 | 46 | 50.0% | 14.1% | 91.4% | 105.5 | LUCKY | |
_Since Last GM Reset | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 12 | 14 | -2 | 5 | 0.625 | 12 | 19 | 31 | 0 | 0 | 0 | 6 | 5 | 1 | 93 | 16 | 37 | 36 | 9 | 123 | 47 | 23 | 82 | 13 | 4 | 30.77% | 9 | 3 | 66.67% | 0 | 38 | 74 | 51.35% | 31 | 75 | 41.33% | 24 | 51 | 47.06% | 75 | 32 | 81 | 43 | 92 | 46 | 42.1% | 12.9% | 88.6% | 101.5 | FUN | |
Total | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 12 | 14 | -2 | 5 | 0.625 | 12 | 19 | 31 | 0 | 0 | 0 | 6 | 5 | 1 | 93 | 16 | 37 | 36 | 9 | 123 | 47 | 23 | 82 | 13 | 4 | 30.77% | 9 | 3 | 66.67% | 0 | 38 | 74 | 51.35% | 31 | 75 | 41.33% | 24 | 51 | 47.06% | 75 | 32 | 81 | 43 | 92 | 46 | 42.1% | 12.9% | 88.6% | 101.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 18 |
Neutral Zone | 23 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 74 |
Neutral Zone Start | 51 |
Defensive Zone Start | 75 |
Puck Time | |
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With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 93 |
Faceoffs Lost | 107 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.0 | 9.57 |
2nd Period | 13.3 | 20.31 |
3rd Period | 22.3 | 30.68 |
Overtime | 24.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 8 |
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PP Goal | 4 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 0 | 1 |
Overtime Lost | 1 | 0 |
PP Attempt | 13 |
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PP Goal | 4 |
PK Attempt | 9 |
PK Goal Against | 3 |
Home | |
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Shots For | 23.3 |
Shots Against | 30.8 |
Goals For | 3.0 |
Goals Against | 3.5 |
Hits | 20.5 |
Shots Blocked | 11.8 |
Pim | 5.8 |
Date | Matchup | Result | Detail | |||||||||||
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Wed, Oct 8 | ![]() | @ | ![]() | VAN1,OTT3 | RECAP | |||||||||
Thu, Oct 9 | ![]() | @ | ![]() | OTT2,CHI6 | RECAP | |||||||||
Sun, Oct 12 | ![]() | @ | ![]() | OTT4,CLB3 (OT) | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | CLB4,OTT3 (SO) | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Mar 11 | ![]() | @ | ![]() | |||||||||||
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Sun, Mar 22 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,845,000$ | 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 |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,845,000$ | 3,845,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
205,680$ | 0$ | 182,008$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 25,710$ | 4,139,310$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
4,139,310$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
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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