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Full Scoreboard »» |
Belleville Belleville Senators 25-26-5, 55pts · 13th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Beck Malenstyn | 0 | C/LW | 99.00 | 76 | 46 | 79 | 72 | 77 | 76 | 76 | 69 | 46 | 66 | 61 | 73 | 67 | 63 | 56 | 1 | 50 | 68 | 26 | 1,200,000$/4yrs | |||
Oliver Wahlstrom | 0 | RW | 98.00 | 71 | 48 | 74 | 74 | 84 | 82 | 75 | 71 | 50 | 66 | 65 | 66 | 70 | 68 | 58 | 1 | 50 | 68 | 24 | 2,900,000$/4yrs | |||
Kieffer Bellows (A) | 0 | LW | 99.00 | 67 | 43 | 71 | 72 | 70 | 72 | 68 | 68 | 46 | 63 | 64 | 65 | 68 | 58 | 52 | 1 | 50 | 64 | 26 | 1,500,000$/2yrs | |||
Charles Hudon | 0 | C/LW/RW | 98.00 | 56 | 46 | 63 | 68 | 61 | 70 | 70 | 66 | 45 | 64 | 62 | 59 | 65 | 63 | 53 | 1 | 50 | 62 | 30 | 1,500,000$/4yrs | |||
Glenn Gawdin | 0 | C/RW | 100.00 | 55 | 47 | 64 | 65 | 64 | 69 | 68 | 65 | 62 | 64 | 61 | 54 | 64 | 55 | 50 | 1 | 50 | 61 | 27 | 1,500,000$/3yrs | |||
Cole Schneider (C) | 0 | LW | 98.00 | 55 | 43 | 73 | 64 | 63 | 72 | 72 | 63 | 43 | 59 | 60 | 55 | 62 | 68 | 62 | 1 | 50 | 61 | 33 | 2,000,000$/2yrs | |||
Brett Murray | 0 | LW | 100.00 | 67 | 50 | 65 | 60 | 74 | 66 | 64 | 63 | 43 | 61 | 60 | 56 | 61 | 53 | 50 | 1 | 50 | 60 | 25 | 1,200,000$/3yrs | |||
Rhett Gardner | 0 | C/LW | 98.00 | 66 | 53 | 58 | 62 | 70 | 69 | 68 | 63 | 59 | 59 | 55 | 62 | 60 | 57 | 50 | 1 | 50 | 60 | 28 | 1,500,000$/2yrs | |||
Hugh McGing | 0 | C/LW | 99.00 | 55 | 44 | 64 | 70 | 57 | 66 | 65 | 63 | 44 | 64 | 56 | 59 | 63 | 53 | 50 | 1 | 50 | 60 | 25 | 1,200,000$/2yrs | |||
Isak Rosen | 0 | RW | 100.00 | 58 | 41 | 73 | 71 | 58 | 60 | 60 | 65 | 44 | 63 | 60 | 58 | 65 | 50 | 50 | 1 | 50 | 60 | 21 | 975,000$/2yrs | |||
Jordan Spence | 0 | D | 99.00 | 65 | 44 | 85 | 78 | 70 | 77 | 73 | 73 | 40 | 73 | 61 | 71 | 71 | 56 | 50 | 1 | 50 | 69 | 23 | 1,500,000$/3yrs | |||
Tyler Wotherspoon | 0 | D | 98.00 | 61 | 43 | 71 | 66 | 65 | 71 | 70 | 63 | 40 | 61 | 55 | 68 | 61 | 65 | 57 | 1 | 50 | 63 | 31 | 2,000,000$/2yrs | |||
Noel Hoefenmayer | 0 | D | 100.00 | 62 | 52 | 59 | 67 | 64 | 65 | 64 | 63 | 40 | 59 | 59 | 67 | 63 | 52 | 50 | 1 | 50 | 62 | 25 | 975,000$/1yrs | |||
Madison Bowey | 0 | D | 99.00 | 62 | 48 | 65 | 66 | 65 | 67 | 65 | 61 | 40 | 56 | 55 | 64 | 61 | 57 | 50 | 1 | 50 | 61 | 29 | 2,400,000$/2yrs | |||
Wyatt Aamodt | 0 | D | 100.00 | 61 | 44 | 65 | 67 | 64 | 66 | 65 | 62 | 40 | 56 | 56 | 66 | 62 | 53 | 50 | 1 | 50 | 61 | 26 | 1,500,000$/4yrs | |||
Kristians Rubins | 0 | D | 100.00 | 65 | 46 | 69 | 60 | 72 | 65 | 64 | 60 | 40 | 53 | 52 | 63 | 57 | 53 | 50 | 1 | 50 | 60 | 26 | 1,500,000$/4yrs | |||
Griffin Mendel | 0 | D | 100.00 | 64 | 44 | 67 | 60 | 72 | 65 | 64 | 60 | 40 | 53 | 54 | 61 | 58 | 53 | 50 | 1 | 50 | 60 | 25 | 1,200,000$/4yrs | |||
Montana Onyebuchi | 0 | D | 100.00 | 66 | 64 | 52 | 64 | 71 | 64 | 62 | 59 | 40 | 53 | 53 | 65 | 59 | 52 | 50 | 1 | 50 | 60 | 24 | 1,500,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
Justin Kirkland | 0 | LW/RW | 100.00 | 57 | 44 | 69 | 64 | 63 | 67 | 65 | 61 | 57 | 60 | 55 | 55 | 60 | 55 | 50 | 1 | 50 | 59 | 27 | 1,300,000$/2yrs | |||
Cameron Morrison | 0 | LW | 100.00 | 65 | 44 | 72 | 62 | 68 | 65 | 63 | 58 | 41 | 53 | 53 | 61 | 57 | 53 | 50 | 1 | 50 | 58 | 25 | 975,000$/1yrs | |||
Roby Jarventie | 0 | LW | 100.00 | 64 | 43 | 68 | 65 | 67 | 58 | 56 | 61 | 42 | 58 | 56 | 57 | 60 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/1yrs | |||
Steven Jandric | 0 | C/LW/RW | 100.00 | 60 | 44 | 69 | 61 | 63 | 62 | 61 | 57 | 40 | 54 | 54 | 57 | 57 | 52 | 50 | 1 | 50 | 57 | 26 | 1,500,000$/4yrs | |||
Isaac Ratcliffe | 0 | LW | 100.00 | 59 | 47 | 61 | 59 | 68 | 66 | 64 | 60 | 41 | 54 | 53 | 51 | 57 | 53 | 50 | 1 | 50 | 56 | 25 | 1,200,000$/3yrs | |||
Bryce Kindopp | 0 | RW | 100.00 | 57 | 42 | 72 | 63 | 63 | 64 | 62 | 57 | 40 | 52 | 53 | 52 | 58 | 53 | 50 | 1 | 50 | 56 | 25 | 1,400,000$/2yrs | |||
Tyson Empey | 0 | LW | 100.00 | 59 | 43 | 65 | 59 | 64 | 65 | 63 | 53 | 40 | 51 | 51 | 55 | 54 | 58 | 50 | 1 | 50 | 55 | 29 | 1,500,000$/1yrs | |||
Dillon Simpson | 0 | D | 100.00 | 55 | 44 | 71 | 61 | 65 | 69 | 67 | 58 | 40 | 52 | 53 | 58 | 58 | 64 | 60 | 1 | 50 | 59 | 31 | 1,500,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Eric Comrie | 0 | 97.00 | 82 | 79 | 77 | 77 | 78 | 75 | 74 | 73 | 75 | 79 | 75 | 79 | 72 | 1 | 50 | 70 | 28 | 2,500,000$/2yrs |
Dylan Garand | 0 | 100.00 | 72 | 62 | 66 | 60 | 67 | 68 | 71 | 67 | 69 | 68 | 57 | 50 | 50 | 1 | 50 | 61 | 22 | 1,200,000$/4yrs |
Scratches | ||||||||||||||||||||
Olivier Rodrigue | 0 | 100.00 | 73 | 63 | 65 | 59 | 67 | 68 | 72 | 69 | 70 | 68 | 59 | 51 | 50 | 1 | 50 | 62 | 23 | 1,200,000$/2yrs |
Jake Kupsky | 0 | 100.00 | 62 | 59 | 57 | 66 | 61 | 58 | 57 | 54 | 59 | 60 | 57 | 54 | 50 | 1 | 50 | 55 | 28 | 975,000$/2yrs |
Jacob Kucharski | 0 | 100.00 | 57 | 57 | 57 | 70 | 59 | 55 | 54 | 53 | 53 | 57 | 53 | 51 | 50 | 1 | 50 | 53 | 24 | 975,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Brad Larsen | 87 | 75 | 73 | 80 | 70 | 69 | 1 | CAN | 46 | 1 | 500,000$ |
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 | Oliver Wahlstrom | Belleville Senators (OTT) | RW | 56 | 21 | 25 | 46 | -3 | 29 | 15 | 99 | 174 | 70 | 96 | 12.07% | 26 | 23.42 | 5 | 5 | 10 | 0 | 0 | 0 | 112 | 4 | 0 | 45.06% | 0 | 0 | 0.82 | 2 | 8 | 0.79 | |||
2 | Kieffer Bellows | Belleville Senators (OTT) | LW | 56 | 20 | 19 | 39 | -3 | 74 | 20 | 98 | 137 | 41 | 79 | 14.60% | 31 | 21.50 | 5 | 3 | 8 | 0 | 0 | 0 | 93 | 2 | 3 | 45.39% | 2 | 3 | 0.70 | 2 | 7 | 0.50 | |||
3 | Charles Hudon | Belleville Senators (OTT) | C/LW/RW | 56 | 9 | 17 | 26 | -4 | 39 | 15 | 103 | 67 | 34 | 56 | 13.43% | 23 | 18.83 | 0 | 3 | 3 | 0 | 0 | 0 | 12 | 2 | 0 | 45.57% | 0 | 0 | 0.46 | 2 | 3 | 0.31 | |||
4 | Cole Schneider | Belleville Senators (OTT) | LW | 56 | 9 | 12 | 21 | -2 | 6 | 0 | 82 | 74 | 16 | 43 | 12.16% | 24 | 19.99 | 1 | 5 | 6 | 0 | 1 | 1 | 54 | 4 | 0 | 44.10% | 0 | 0 | 0.38 | 2 | 6 | 0.38 | |||
5 | Jordan Spence | Belleville Senators (OTT) | D | 43 | 6 | 15 | 21 | -4 | 29 | 15 | 51 | 102 | 37 | 35 | 5.88% | 55 | 25.48 | 5 | 2 | 7 | 0 | 1 | 1 | 78 | 0 | 1 | 0.00% | 0 | 0 | 0.49 | 0 | 1 | 0.45 | |||
6 | Beck Malenstyn | Belleville Senators (OTT) | C/LW | 28 | 4 | 13 | 17 | -1 | 10 | 10 | 54 | 56 | 28 | 35 | 7.14% | 9 | 22.24 | 2 | 3 | 5 | 0 | 0 | 0 | 41 | 1 | 1 | 43.65% | 0 | 0 | 0.61 | 0 | 2 | 0.53 | |||
7 | Brett Murray | Belleville Senators (OTT) | LW | 56 | 7 | 10 | 17 | -2 | 10 | 0 | 68 | 64 | 22 | 45 | 10.94% | 11 | 16.14 | 0 | 0 | 0 | 1 | 0 | 1 | 42 | 1 | 1 | 60.87% | 0 | 0 | 0.30 | 0 | 0 | 0.30 | |||
8 | Hugh McGing | Belleville Senators (OTT) | C/LW | 56 | 10 | 7 | 17 | -3 | 23 | 5 | 95 | 85 | 22 | 53 | 11.76% | 12 | 16.03 | 0 | 0 | 0 | 1 | 0 | 1 | 35 | 1 | 1 | 44.39% | 0 | 0 | 0.30 | 0 | 0 | 0.29 | |||
9 | Rhett Gardner | Belleville Senators (OTT) | C/LW | 47 | 5 | 11 | 16 | 5 | 51 | 5 | 84 | 41 | 12 | 26 | 12.20% | 13 | 14.34 | 0 | 2 | 2 | 0 | 0 | 0 | 18 | 3 | 0 | 50.00% | 0 | 0 | 0.34 | 0 | 0 | 0.20 | |||
10 | Tyler Wotherspoon | Belleville Senators (OTT) | D | 56 | 2 | 11 | 13 | -8 | 28 | 0 | 83 | 51 | 22 | 24 | 3.92% | 81 | 26.54 | 0 | 1 | 1 | 0 | 0 | 0 | 116 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.17 | |||
11 | Isak Rosen | Belleville Senators (OTT) | RW | 52 | 6 | 6 | 12 | -1 | 6 | 0 | 73 | 63 | 20 | 41 | 9.52% | 15 | 13.28 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 35.29% | 0 | 0 | 0.23 | 1 | 1 | 0.28 | |||
12 | Noel Hoefenmayer | Belleville Senators (OTT) | D | 56 | 0 | 11 | 11 | 3 | 58 | 20 | 66 | 44 | 11 | 12 | 0.00% | 53 | 21.13 | 0 | 2 | 2 | 0 | 0 | 0 | 86 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.08 | |||
13 | Madison Bowey | Belleville Senators (OTT) | D | 56 | 2 | 7 | 9 | 9 | 53 | 15 | 72 | 40 | 17 | 30 | 5.00% | 42 | 22.80 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.11 | |||
14 | Justin Kirkland | Belleville Senators (OTT) | LW/RW | 42 | 3 | 6 | 9 | -8 | 12 | 0 | 50 | 40 | 17 | 33 | 7.50% | 8 | 15.88 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 52.94% | 0 | 0 | 0.21 | 1 | 1 | 0.15 | |||
15 | Glenn Gawdin | Belleville Senators (OTT) | C/RW | 19 | 2 | 1 | 3 | -1 | 9 | 5 | 15 | 9 | 2 | 5 | 22.22% | 1 | 9.78 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 42.86% | 0 | 0 | 0.16 | 0 | 0 | 0.07 | |||
16 | Bryce Kindopp | Belleville Senators (OTT) | RW | 29 | 1 | 1 | 2 | -4 | 2 | 0 | 35 | 20 | 6 | 12 | 5.00% | 4 | 13.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 0 | 0 | 0.07 | 0 | 0 | 0.07 | |||
17 | Dillon Simpson | Belleville Senators (OTT) | D | 41 | 1 | 1 | 2 | -5 | 0 | 0 | 12 | 7 | 1 | 1 | 14.29% | 9 | 13.67 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | 0.01 | |||
18 | Kristians Rubins | Belleville Senators (OTT) | D | 34 | 0 | 1 | 1 | -1 | 16 | 0 | 16 | 10 | 1 | 4 | 0.00% | 16 | 15.19 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.03 | |||
19 | Cameron Morrison | Belleville Senators (OTT) | LW | 37 | 0 | 1 | 1 | 2 | 0 | 0 | 2 | 2 | 0 | 0 | 0.00% | 0 | 1.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.89% | 0 | 0 | 0.03 | 0 | 0 | 0.04 | |||
20 | Wyatt Aamodt | Belleville Senators (OTT) | D | 28 | 0 | 1 | 1 | -2 | 0 | 0 | 13 | 7 | 9 | 3 | 0.00% | 5 | 9.45 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.04 | 0 | 0 | 0.04 | |||
21 | Isaac Ratcliffe | Belleville Senators (OTT) | LW | 37 | 0 | 0 | 0 | 1 | 4 | 0 | 13 | 1 | 0 | 0 | 0.00% | 0 | 3.45 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
22 | Griffin Mendel | Belleville Senators (OTT) | D | 18 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 3.85 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
23 | Montana Onyebuchi | Belleville Senators (OTT) | D | 40 | 0 | 0 | 0 | -3 | 10 | 0 | 15 | 3 | 2 | 1 | 0.00% | 10 | 8.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
24 | Roby Jarventie | Belleville Senators (OTT) | LW | 9 | 0 | 0 | 0 | -1 | 2 | 0 | 5 | 2 | 0 | 2 | 0.00% | 0 | 4.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
Team Total or Average | 1008 | 108 | 176 | 284 | -35 | 471 | 125 | 1205 | 1099 | 390 | 636 | 9.83% | 448 | 16.59 | 18 | 28 | 46 | 917 | 2 | 2 | 4 | 846 | 20 | 9 | 45.44% | 2513 | 306 | 320 | 2 | 3 | 0.34 | 10 | 29 |
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 | Belleville Senators (OTT) | 51 | 23 | 21 | 5 | 0.901 | 2.22 | 3028 | 0 | 7 | 112 | 1133 | 574 | 2 | 1 | 0.750 | 24 | 49 | 7 | 3 | 0 | 4 |
2 | Olivier Rodrigue | Belleville Senators (OTT) | 6 | 2 | 4 | 0 | 0.855 | 3.83 | 313 | 0 | 1 | 20 | 138 | 71 | 0 | 0 | 0.600 | 5 | 6 | 42 | 1 | 0 | 0 |
Team Total or Average | 57 | 25 | 25 | 5 | 0.896 | 2.37 | 3342 | 0 | 8 | 132 | 1271 | 645 | 2 | 1 | 0.724 | 29 | 55 | 49 | 4 | 0 | 4 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Beck Malenstyn | C/LW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Brett Murray | LW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Bryce Kindopp | RW | 25 | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA | |||||
Cameron Morrison | LW | 25 | 975,000$ | 975,000$ | RFA | ||||||
Charles Hudon | C/LW/RW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Cole Schneider | LW | 33 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Dillon Simpson | D | 31 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Dylan Garand | G | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | |||
Eric Comrie | G | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Glenn Gawdin | C/RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Griffin Mendel | D | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Hugh McGing | C/LW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Isaac Ratcliffe | LW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Isak Rosen | RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jacob Kucharski | G | 24 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jake Kupsky | G | 28 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Jordan Spence | D | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | ||||
Justin Kirkland | LW/RW | 27 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Kieffer Bellows | LW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Kristians Rubins | D | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Madison Bowey | D | 29 | 2,400,000$ | 2,400,000$ | 2,400,000$ | UFA | |||||
Montana Onyebuchi | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Noel Hoefenmayer | D | 25 | 975,000$ | 975,000$ | RFA | ||||||
Oliver Wahlstrom | RW | 24 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | |||
Olivier Rodrigue | G | 23 | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | |||||
Rhett Gardner | C/LW | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Roby Jarventie | LW | 21 | 975,000$ | 975,000$ | RFA | ||||||
Steven Jandric | C/LW/RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Tyler Wotherspoon | D | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Tyson Empey | LW | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Wyatt Aamodt | D | 26 | 1,500,000$ | 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 | Moose | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 18 | 37 | 51 | 12 | 16 | 256 | 389 | 441 | 42 | 14 | 3 | 6 | 22 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 0.0% | 0.0% | 85.7% | 85.7 | Unlucky |
2 | Americans | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 6 | 0.750 | 7 | 10 | 17 | 1 | 2 | 18 | 37 | 51 | 12 | 65 | 256 | 389 | 441 | 42 | 63 | 17 | 48 | 88 | 6 | 2 | 33.33% | 9 | 2 | 77.78% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 71.4% | 10.8% | 93.7% | 104.4 | LUCKY |
3 | Heat | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 18 | 37 | 51 | 12 | 42 | 256 | 389 | 441 | 42 | 33 | 6 | 14 | 37 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 66.7% | 9.5% | 87.9% | 97.4 | FUN |
4 | Wolves | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 18 | 37 | 51 | 12 | 77 | 256 | 389 | 441 | 42 | 105 | 31 | 44 | 62 | 8 | 1 | 12.50% | 7 | 3 | 57.14% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 18.2% | 3.9% | 88.6% | 92.5 | Unlucky |
5 | IceHogs | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 9 | 6 | 3 | 5 | 0.833 | 9 | 16 | 25 | 0 | 0 | 18 | 37 | 51 | 12 | 73 | 256 | 389 | 441 | 42 | 58 | 19 | 22 | 84 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 66.7% | 12.3% | 89.7% | 102.0 | FUN |
6 | Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 18 | 37 | 51 | 12 | 11 | 256 | 389 | 441 | 42 | 24 | 15 | 2 | 24 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 0.0% | 0.0% | 91.7% | 91.7 | DULL |
7 | Monsters | 5 | 2 | 1 | 0 | 0 | 0 | 1 | 1 | 18 | 17 | 1 | 7 | 0.700 | 18 | 30 | 48 | 0 | 0 | 18 | 37 | 51 | 12 | 131 | 256 | 389 | 441 | 42 | 120 | 48 | 35 | 104 | 14 | 3 | 21.43% | 15 | 5 | 66.67% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 55.6% | 13.7% | 85.8% | 99.6 | FUN |
8 | Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 18 | 37 | 51 | 12 | 9 | 256 | 389 | 441 | 42 | 7 | 3 | 2 | 26 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 0.0% | 22.2% | 100.0% | 122.2 | LUCKY |
9 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 37 | 51 | 12 | 24 | 256 | 389 | 441 | 42 | 35 | 9 | 13 | 13 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 40.0% | 8.3% | 91.4% | 99.8 | DULL |
10 | Checkers 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 18 | 37 | 51 | 12 | 11 | 256 | 389 | 441 | 42 | 13 | 5 | 11 | 18 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 0.0% | 0.0% | 76.9% | 76.9 | Unlucky |
11 | Reign | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 18 | 37 | 51 | 12 | 16 | 256 | 389 | 441 | 42 | 30 | 8 | 11 | 49 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 60.0% | 18.8% | 90.0% | 108.8 | FUN |
12 | Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 18 | 37 | 51 | 12 | 56 | 256 | 389 | 441 | 42 | 51 | 13 | 46 | 40 | 4 | 1 | 25.00% | 8 | 4 | 50.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 42.9% | 7.1% | 84.3% | 91.5 | Unlucky |
13 | Rocket | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 1 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 18 | 37 | 51 | 12 | 42 | 256 | 389 | 441 | 42 | 43 | 18 | 23 | 32 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 50.0% | 9.5% | 93.0% | 102.5 | LUCKY |
14 | Admirals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 18 | 37 | 51 | 12 | 40 | 256 | 389 | 441 | 42 | 46 | 15 | 12 | 35 | 3 | 2 | 66.67% | 6 | 1 | 83.33% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 42.9% | 12.5% | 89.1% | 101.6 | FUN |
15 | Comets | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 7 | 12 | 0 | 1 | 18 | 37 | 51 | 12 | 54 | 256 | 389 | 441 | 42 | 42 | 17 | 12 | 38 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 83.3% | 9.3% | 92.9% | 102.1 | LUCKY |
16 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 18 | 37 | 51 | 12 | 9 | 256 | 389 | 441 | 42 | 3 | 3 | 0 | 23 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 100.0% | 22.2% | 100.0% | 122.2 | LUCKY |
17 | Wolf Pack | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 18 | 37 | 51 | 12 | 60 | 256 | 389 | 441 | 42 | 104 | 54 | 48 | 67 | 4 | 0 | 0.00% | 9 | 3 | 66.67% | 1 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 33.3% | 6.7% | 89.4% | 96.1 | Unlucky |
18 | Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 18 | 37 | 51 | 12 | 27 | 256 | 389 | 441 | 42 | 29 | 10 | 4 | 17 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 0.0% | 3.7% | 93.1% | 96.8 | DULL |
19 | Roadrunners | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 18 | 37 | 51 | 12 | 21 | 256 | 389 | 441 | 42 | 54 | 17 | 33 | 47 | 2 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 22.2% | 9.5% | 83.3% | 92.9 | FUN |
20 | Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 18 | 37 | 51 | 12 | 17 | 256 | 389 | 441 | 42 | 18 | 4 | 4 | 31 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 75.0% | 23.5% | 88.9% | 112.4 | FUN |
21 | Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 18 | 37 | 51 | 12 | 20 | 256 | 389 | 441 | 42 | 18 | 4 | 10 | 20 | 3 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 66.7% | 10.0% | 77.8% | 87.8 | FUN |
22 | Crunch | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 6 | 0.750 | 11 | 19 | 30 | 0 | 1 | 18 | 37 | 51 | 12 | 101 | 256 | 389 | 441 | 42 | 82 | 23 | 35 | 85 | 9 | 2 | 22.22% | 10 | 0 | 100.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 56.3% | 10.9% | 91.5% | 102.4 | LUCKY |
23 | Marlies | 4 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 10 | 14 | -4 | 3 | 0.375 | 10 | 13 | 23 | 1 | 0 | 18 | 37 | 51 | 12 | 68 | 256 | 389 | 441 | 42 | 153 | 55 | 14 | 92 | 9 | 1 | 11.11% | 7 | 0 | 100.00% | 1 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 39.1% | 14.7% | 90.8% | 105.6 | FUN |
24 | Canucks | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 5 | 10 | -5 | 3 | 0.375 | 5 | 8 | 13 | 0 | 0 | 18 | 37 | 51 | 12 | 65 | 256 | 389 | 441 | 42 | 103 | 34 | 14 | 87 | 9 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 38.5% | 7.7% | 90.3% | 98.0 | Unlucky |
25 | Silver Knights | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 18 | 37 | 51 | 12 | 29 | 256 | 389 | 441 | 42 | 16 | 5 | 4 | 32 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 100.0% | 17.2% | 93.8% | 111.0 | LUCKY |
26 | Checkers 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 18 | 37 | 51 | 12 | 15 | 256 | 389 | 441 | 42 | 42 | 12 | 4 | 32 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 25.0% | 6.7% | 90.5% | 97.1 | Unlucky |
_Vs Division | 16 | 10 | 7 | 0 | 1 | 2 | 3 | 2 | 37 | 47 | -10 | 32 | 1.000 | 37 | 57 | 94 | 0 | 2 | 18 | 37 | 51 | 12 | 375 | 256 | 389 | 441 | 42 | 421 | 167 | 147 | 342 | 39 | 6 | 15.38% | 41 | 15 | 63.41% | 1 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 49.2% | 9.9% | 88.8% | 98.7 | FUN | |
_Vs Conference | 35 | 12 | 15 | 0 | 1 | 2 | 3 | 2 | 74 | 88 | -14 | 36 | 0.514 | 74 | 115 | 189 | 2 | 5 | 18 | 37 | 51 | 12 | 727 | 256 | 389 | 441 | 42 | 878 | 319 | 292 | 744 | 79 | 12 | 15.19% | 81 | 21 | 74.07% | 2 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 48.1% | 10.2% | 90.0% | 100.2 | FUN | |
_Since Last GM Reset | 56 | 18 | 26 | 0 | 2 | 2 | 5 | 3 | 113 | 139 | -26 | 55 | 0.491 | 113 | 176 | 289 | 2 | 8 | 18 | 37 | 51 | 12 | 1099 | 256 | 389 | 441 | 42 | 1306 | 448 | 471 | 1205 | 112 | 18 | 16.07% | 138 | 39 | 71.74% | 2 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 48.7% | 10.3% | 89.4% | 99.6 | FUN | |
Total | 56 | 18 | 26 | 0 | 2 | 2 | 5 | 3 | 113 | 139 | -26 | 55 | 0.491 | 113 | 176 | 289 | 2 | 8 | 18 | 37 | 51 | 12 | 1099 | 256 | 389 | 441 | 42 | 1306 | 448 | 471 | 1205 | 112 | 18 | 16.07% | 138 | 39 | 71.74% | 2 | 420 | 882 | 47.62% | 457 | 993 | 46.02% | 265 | 610 | 43.44% | 1028 | 428 | 1066 | 598 | 1311 | 648 | 48.7% | 10.3% | 89.4% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 18 |
Neutral Zone | 23 |
Defensive Zone | 19 |
Puck Time | |
---|---|
Offensive Zone Start | 882 |
Neutral Zone Start | 610 |
Defensive Zone Start | 993 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1142 |
Faceoffs Lost | 1343 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.6 | 9.57 |
2nd Period | 11.5 | 20.31 |
3rd Period | 19.4 | 30.68 |
Overtime | 20.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.9 | 2.67 |
Overtime | 2.1 | 2.83 |
Even Strenght Goal | 91 |
---|---|
PP Goal | 18 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 13 | 12 |
Lost | 13 | 13 |
Overtime Lost | 2 | 3 |
PP Attempt | 112 |
---|---|
PP Goal | 18 |
PK Attempt | 138 |
PK Goal Against | 39 |
Home | |
---|---|
Shots For | 19.6 |
Shots Against | 23.3 |
Goals For | 2.0 |
Goals Against | 2.5 |
Hits | 21.5 |
Shots Blocked | 8.0 |
Pim | 8.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Oct 12 | CLB | @ | OTT | CLB5,OTT1 | RECAP | |||||||||
Mon, Oct 14 | OTT | @ | CLB | OTT2,CLB3 (SO) | RECAP | |||||||||
Tue, Oct 15 | OTT | @ | NJD | OTT1,NJD0 | RECAP | |||||||||
Fri, Oct 18 | OTT | @ | CLB | OTT6,CLB2 | RECAP | |||||||||
Sat, Oct 19 | BUF | @ | OTT | BUF1,OTT3 | RECAP | |||||||||
Mon, Oct 21 | CHI | @ | OTT | CHI4,OTT3 (SO) | RECAP | |||||||||
Wed, Oct 23 | OTT | @ | BUF | OTT1,BUF0 | RECAP | |||||||||
Thu, Oct 24 | OTT | @ | TAM | OTT2,TAM0 | RECAP | |||||||||
Sat, Oct 26 | TAM | @ | OTT | TAM2,OTT3 | RECAP | |||||||||
Tue, Oct 29 | OTT | @ | NYR | OTT1,NYR3 | RECAP | |||||||||
Wed, Oct 30 | CAR | @ | OTT | CAR5,OTT0 | RECAP | |||||||||
Fri, Nov 1 | OTT | @ | VAN | OTT3,VAN2 (OT) | RECAP | |||||||||
Sun, Nov 3 | OTT | @ | MTL | OTT0,MTL1 (OT) | RECAP | |||||||||
Tue, Nov 5 | TOR | @ | OTT | TOR3,OTT1 | RECAP | |||||||||
Thu, Nov 7 | MTL | @ | OTT | MTL2,OTT4 | RECAP | |||||||||
Sat, Nov 9 | VAN | @ | OTT | VAN3,OTT0 | RECAP | |||||||||
Mon, Nov 11 | OTT | @ | TOR | OTT1,TOR2 (SO) | RECAP | |||||||||
Wed, Nov 13 | PIT | @ | OTT | PIT2,OTT4 | RECAP | |||||||||
Fri, Nov 15 | OTT | @ | DAL | OTT2,DAL0 | RECAP | |||||||||
Sun, Nov 17 | OTT | @ | CHI | OTT2,CHI1 (OT) | RECAP | |||||||||
Tue, Nov 19 | TOR | @ | OTT | TOR4,OTT5 (SO) | RECAP | |||||||||
Thu, Nov 21 | OTT | @ | VAN | OTT1,VAN3 | RECAP | |||||||||
Sat, Nov 23 | CAR | @ | OTT | CAR3,OTT2 | RECAP | |||||||||
Tue, Nov 26 | OTT | @ | TAM | OTT5,TAM3 | RECAP | |||||||||
Wed, Nov 27 | TAM | @ | OTT | TAM2,OTT1 | RECAP | |||||||||
Fri, Nov 29 | SEA | @ | OTT | SEA4,OTT1 | RECAP | |||||||||
Sun, Dec 1 | OTT | @ | TOR | OTT3,TOR5 | RECAP | |||||||||
Wed, Dec 4 | OTT | @ | CHI | OTT3,CHI0 | RECAP | |||||||||
Fri, Dec 6 | VAN | @ | OTT | VAN2,OTT1 (OT) | RECAP | |||||||||
Sun, Dec 8 | OTT | @ | COL | OTT0,COL2 | RECAP | |||||||||
Mon, Dec 9 | NYI | @ | OTT | NYI0,OTT2 | RECAP | |||||||||
Thu, Dec 12 | OTT | @ | CAL | OTT1,CAL2 | RECAP | |||||||||
Sat, Dec 14 | OTT | @ | NAS | OTT4,NAS3 | RECAP | |||||||||
Sun, Dec 15 | MIN | @ | OTT | MIN1,OTT2 | RECAP | |||||||||
Wed, Dec 18 | CAL | @ | OTT | CAL2,OTT3 (SO) | RECAP | |||||||||
Fri, Dec 20 | OTT | @ | BUF | OTT1,BUF3 | RECAP | |||||||||
Sun, Dec 22 | NAS | @ | OTT | NAS2,OTT1 | RECAP | |||||||||
Wed, Dec 25 | OTT | @ | PHI | OTT1,PHI2 | RECAP | |||||||||
Fri, Dec 27 | WPG | @ | OTT | WPG2,OTT0 | RECAP | |||||||||
Sun, Dec 29 | OTT | @ | CLB | OTT3,CLB2 | RECAP | |||||||||
Mon, Dec 30 | NJD | @ | OTT | NJD3,OTT4 (SO) | RECAP | |||||||||
Thu, Jan 2 | DET | @ | OTT | DET3,OTT2 | RECAP | |||||||||
Fri, Jan 3 | OTT | @ | NYR | OTT2,NYR5 | RECAP | |||||||||
Sun, Jan 5 | OTT | @ | LOS | OTT2,LOS0 | RECAP | |||||||||
Tue, Jan 7 | LOS | @ | OTT | LOS3,OTT1 | RECAP | |||||||||
Thu, Jan 9 | OTT | @ | PHO | OTT1,PHO7 | RECAP | |||||||||
Sat, Jan 11 | NYR | @ | OTT | NYR3,OTT1 | RECAP | |||||||||
Mon, Jan 13 | CLB | @ | OTT | CLB5,OTT6 (SO) | RECAP | |||||||||
Wed, Jan 15 | OTT | @ | MIN | OTT2,MIN7 | RECAP | |||||||||
Thu, Jan 16 | OTT | @ | S J | OTT2,S J4 | RECAP | |||||||||
Sat, Jan 18 | OTT | @ | FLO | OTT0,FLO3 | RECAP | |||||||||
Mon, Jan 20 | CHI | @ | OTT | CHI1,OTT2 (SO) | RECAP | |||||||||
Wed, Jan 22 | CHI | @ | OTT | CHI1,OTT4 | RECAP | |||||||||
Fri, Jan 24 | OTT | @ | CAR | OTT1,CAR4 | RECAP | |||||||||
Sun, Jan 26 | PHO | @ | OTT | PHO2,OTT1 | RECAP | |||||||||
Tue, Jan 28 | BUF | @ | OTT | BUF0,OTT2 | RECAP | |||||||||
Thu, Jan 30 | OTT | @ | STL | |||||||||||
Sat, Feb 1 | BOS | @ | OTT | |||||||||||
Mon, Feb 3 | OTT | @ | DET | |||||||||||
Wed, Feb 5 | OTT | @ | NJD | |||||||||||
Thu, Feb 6 | CLB | @ | OTT | |||||||||||
Sun, Feb 9 | OTT | @ | NJD | |||||||||||
Tue, Feb 11 | COL | @ | OTT | |||||||||||
Fri, Feb 14 | OTT | @ | BOS | |||||||||||
Sat, Feb 15 | NJD | @ | OTT | |||||||||||
Mon, Feb 17 | OTT | @ | EDM | |||||||||||
Wed, Feb 19 | PHI | @ | OTT | |||||||||||
Fri, Feb 21 | OTT | @ | PIT | |||||||||||
Sun, Feb 23 | DAL | @ | OTT | |||||||||||
Wed, Feb 26 | OTT | @ | MTL | |||||||||||
Thu, Feb 27 | FLO | @ | OTT | |||||||||||
Sun, Mar 2 | WAS | @ | OTT | |||||||||||
Thu, Mar 6 | STL | @ | OTT | |||||||||||
Sat, Mar 8 | OTT | @ | SEA | |||||||||||
Mon, Mar 10 | OTT | @ | WPG | |||||||||||
Tue, Mar 11 | OTT | @ | WAS | |||||||||||
Wed, Mar 12 | EDM | @ | OTT | |||||||||||
Sun, Mar 16 | ANA | @ | OTT | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Mar 17 | OTT | @ | NYI | |||||||||||
Fri, Mar 21 | S J | @ | OTT | |||||||||||
Sat, Mar 22 | OTT | @ | ANA | |||||||||||
Tue, Mar 25 | MTL | @ | OTT |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
4,525,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Belleville | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0 | 0 | |||
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 |
13 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
4,525,000$ | 4,525,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,216,689$ | 0$ | 2,894,186$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 87 | 29,734$ | 1,784,040$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,784,040$ | 0$ | 0$ | 0$ |
Sponsors | |||
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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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