Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Noah Cates | 49 | LW | 100.00 | 72 | 34 | 83 | 65 | 71 | 82 | 75 | 66 | 56 | 67 | 69 | 63 | 68 | 62 | 64 | 0 | 50 | 70 | 24 | 1,066,667$/3yrs | |||
Morgan Geekie | 67 | C | 100.00 | 61 | 36 | 92 | 65 | 82 | 79 | 84 | 67 | 83 | 66 | 61 | 58 | 65 | 66 | 64 | 0 | 50 | 69 | 24 | 1,694,500$/2yrs | |||
Thomas Novak | 82 | C | 100.00 | 62 | 37 | 88 | 67 | 73 | 84 | 87 | 64 | 79 | 67 | 63 | 61 | 62 | 65 | 67 | 0 | 50 | 69 | 25 | 825,000$/3yrs | |||
Andrew Oglevie | 2 | C | 100.00 | 59 | 43 | 82 | 66 | 68 | 74 | 79 | 64 | 73 | 61 | 63 | 56 | 65 | 71 | 67 | 0 | 50 | 67 | 28 | 750,000$/1yrs | |||
Raphael Lavoie | 63 | C/RW | 100.00 | 77 | 34 | 87 | 56 | 86 | 92 | 83 | 57 | 61 | 58 | 59 | 60 | 56 | 62 | 64 | 0 | 50 | 67 | 22 | 925,000$/2yrs | |||
Samuel Poulin (R) | 22 | LW | 100.00 | 70 | 34 | 77 | 61 | 79 | 85 | 91 | 57 | 63 | 59 | 60 | 61 | 59 | 61 | 63 | 0 | 50 | 67 | 22 | 863,333$/3yrs | |||
Tyler Benson | 17 | LW | 100.00 | 71 | 38 | 82 | 62 | 73 | 77 | 78 | 63 | 67 | 61 | 57 | 59 | 62 | 64 | 66 | 0 | 50 | 66 | 25 | 843,750$/2yrs | |||
Cole Schwindt | 3 | C | 100.00 | 67 | 38 | 85 | 58 | 77 | 82 | 80 | 56 | 76 | 58 | 59 | 61 | 56 | 61 | 63 | 0 | 50 | 66 | 21 | 910,833$/3yrs | |||
Tyler Steenbergen | 20 | LW | 100.00 | 61 | 35 | 91 | 61 | 70 | 84 | 89 | 59 | 57 | 58 | 60 | 56 | 57 | 65 | 63 | 0 | 50 | 65 | 25 | 750,000$/1yrs | |||
Marc McLaughlin | 11 | C | 100.00 | 67 | 36 | 89 | 61 | 74 | 78 | 70 | 57 | 63 | 58 | 63 | 53 | 61 | 64 | 65 | 0 | 50 | 65 | 23 | 912,500$/2yrs | |||
Juuso Valimaki | 4 | D | 100.00 | 68 | 36 | 82 | 67 | 83 | 85 | 76 | 66 | 30 | 70 | 59 | 73 | 52 | 64 | 66 | 0 | 50 | 72 | 24 | 1,844,333$/3yrs | |||
Sean Durzi | 50 | D | 100.00 | 64 | 34 | 75 | 71 | 73 | 87 | 90 | 66 | 30 | 72 | 61 | 70 | 52 | 64 | 66 | 0 | 50 | 72 | 24 | 1,518,750$/3yrs | |||
Egor Zamula | 10 | D | 100.00 | 67 | 38 | 91 | 61 | 79 | 83 | 85 | 61 | 30 | 60 | 58 | 66 | 49 | 62 | 64 | 0 | 50 | 68 | 23 | 1,043,334$/2yrs | |||
Matt Kiersted | 12 | D | 100.00 | 65 | 39 | 88 | 63 | 71 | 82 | 89 | 62 | 30 | 61 | 59 | 65 | 50 | 65 | 66 | 0 | 50 | 68 | 25 | 1,008,333$/3yrs | |||
Nick Perbix (R) | 48 | D | 100.00 | 69 | 38 | 81 | 63 | 79 | 78 | 65 | 62 | 30 | 66 | 57 | 61 | 50 | 64 | 66 | 0 | 50 | 67 | 24 | 1,025,000$/4yrs | |||
Darien Kielb | 24 | D | 100.00 | 71 | 43 | 67 | 59 | 80 | 78 | 60 | 57 | 30 | 62 | 56 | 58 | 45 | 63 | 65 | 0 | 50 | 65 | 24 | 1,250,000$/1yrs | |||
Frederic Allard | 72 | D | 100.00 | 62 | 38 | 92 | 59 | 73 | 83 | 76 | 56 | 30 | 57 | 56 | 60 | 47 | 65 | 67 | 0 | 50 | 65 | 25 | 750,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Riley Sutter | 68 | C | 100.00 | 79 | 41 | 86 | 55 | 88 | 66 | 72 | 54 | 63 | 56 | 52 | 60 | 53 | 63 | 65 | 0 | 50 | 64 | 23 | 871,667$/2yrs | |||
Stelio Mattheos | 25 | RW | 100.00 | 68 | 40 | 76 | 56 | 77 | 75 | 87 | 52 | 57 | 54 | 53 | 58 | 56 | 63 | 65 | 0 | 50 | 63 | 23 | 994,500$/2yrs | |||
Max Willman | 38 | LW | 100.00 | 62 | 38 | 83 | 56 | 71 | 68 | 73 | 57 | 70 | 58 | 59 | 56 | 58 | 71 | 66 | 0 | 50 | 63 | 28 | 1,067,500$/2yrs | |||
Keean Washkurak | 32 | C | 100.00 | 58 | 39 | 82 | 57 | 67 | 75 | 80 | 56 | 63 | 55 | 58 | 53 | 54 | 61 | 63 | 0 | 50 | 62 | 21 | 875,000$/3yrs | |||
Mathias Laferriere | 36 | RW | 100.00 | 69 | 37 | 91 | 51 | 78 | 69 | 84 | 52 | 56 | 53 | 54 | 55 | 53 | 62 | 64 | 0 | 50 | 62 | 22 | 800,000$/2yrs | |||
Tristen Nielsen | 42 | C | 100.00 | 60 | 37 | 87 | 58 | 69 | 77 | 69 | 56 | 61 | 53 | 57 | 52 | 56 | 62 | 64 | 0 | 50 | 62 | 23 | 750,000$/1yrs | |||
Nick Henry | 40 | RW | 100.00 | 61 | 38 | 83 | 53 | 70 | 75 | 62 | 54 | 55 | 53 | 55 | 52 | 55 | 63 | 65 | 0 | 50 | 60 | 23 | 826,666$/1yrs | |||
Nicolas Beaudin | 92 | D | 98.40 | 59 | 38 | 91 | 69 | 66 | 79 | 86 | 66 | 30 | 67 | 65 | 62 | 55 | 63 | 65 | 0 | 50 | 69 | 23 | 1,105,000$/2yrs | |||
Brady Lyle | 21 | D | 100.00 | 69 | 39 | 87 | 55 | 78 | 69 | 86 | 58 | 30 | 57 | 56 | 55 | 48 | 63 | 65 | 0 | 50 | 64 | 23 | 1,000,000$/2yrs | |||
Cole Hults | 23 | D | 100.00 | 63 | 38 | 84 | 58 | 72 | 69 | 81 | 57 | 30 | 56 | 55 | 54 | 50 | 64 | 66 | 0 | 50 | 63 | 24 | 1,050,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Oscar Dansk | 35 | 100.00 | 74 | 83 | 82 | 84 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 73 | 77 | 0 | 50 | 77 | 29 | 922,000$/2yrs |
Scratches | ||||||||||||||||||||
Craig Anderson | 41 | 100.00 | 82 | 70 | 72 | 77 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 93 | 95 | 0 | 50 | 83 | 41 | 2,100,000$/2yrs |
Connor Ingram | 1 | 100.00 | 75 | 77 | 78 | 80 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 66 | 73 | 0 | 50 | 76 | 26 | 750,000$/2yrs |
Hunter Jones | 33 | 100.00 | 67 | 69 | 70 | 85 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 62 | 67 | 0 | 50 | 70 | 22 | 925,000$/2yrs |
Zachary Emond | 43 | 100.00 | 61 | 68 | 67 | 76 | 60 | 59 | 61 | 60 | 59 | 61 | 60 | 62 | 67 | 0 | 50 | 65 | 22 | 800,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dale Hunter | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 63 | 4 | 0$ |
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 | Nicolas Beaudin | Condors (EDM) | D | 82 | 15 | 56 | 71 | -10 | 36 | 0 | 73 | 168 | 53 | 138 | 8.93% | 112 | 22.35 | 5 | 21 | 26 | 0 | 1 | 1 | 146 | 4 | 1 | 0.00% | 0 | 0 | 0.87 | 0 | 0 | 0.72 | |||
2 | Morgan Geekie | Condors (EDM) | C | 82 | 30 | 38 | 68 | 14 | 8 | 0 | 56 | 266 | 66 | 231 | 11.28% | 17 | 19.38 | 7 | 13 | 20 | 0 | 0 | 0 | 59 | 3 | 4 | 55.45% | 0 | 0 | 0.83 | 1 | 5 | 0.94 | |||
3 | Thomas Novak | Condors (EDM) | C | 82 | 27 | 39 | 66 | 0 | 22 | 0 | 87 | 247 | 64 | 175 | 10.93% | 13 | 19.42 | 9 | 6 | 15 | 1 | 0 | 1 | 211 | 7 | 0 | 52.84% | 0 | 0 | 0.80 | 1 | 4 | 0.79 | |||
4 | Juuso Valimaki | Condors (EDM) | D | 72 | 12 | 53 | 65 | -1 | 30 | 0 | 110 | 150 | 43 | 85 | 8.00% | 120 | 20.35 | 7 | 8 | 15 | 0 | 0 | 0 | 144 | 3 | 1 | 0.00% | 0 | 0 | 0.90 | 0 | 0 | 0.81 | |||
5 | Noah Cates | Condors (EDM) | LW | 76 | 31 | 27 | 58 | 0 | 28 | 0 | 145 | 297 | 90 | 186 | 10.44% | 17 | 16.99 | 6 | 5 | 11 | 0 | 1 | 1 | 103 | 4 | 0 | 40.28% | 1 | 2 | 0.76 | 0 | 1 | 0.87 | |||
6 | Andrew Oglevie | Condors (EDM) | C | 81 | 26 | 26 | 52 | -4 | 31 | 5 | 64 | 222 | 56 | 145 | 11.71% | 3 | 16.50 | 1 | 12 | 13 | 0 | 0 | 0 | 64 | 4 | 4 | 49.86% | 0 | 0 | 0.64 | 0 | 3 | 0.61 | |||
7 | Matt Kiersted | Condors (EDM) | D | 81 | 5 | 36 | 41 | 15 | 47 | 5 | 94 | 120 | 40 | 78 | 4.17% | 98 | 18.80 | 1 | 6 | 7 | 0 | 0 | 0 | 178 | 0 | 0 | 0.00% | 0 | 0 | 0.51 | 0 | 0 | 0.50 | |||
8 | Samuel Poulin | Condors (EDM) | LW | 81 | 20 | 17 | 37 | 10 | 27 | 5 | 138 | 195 | 65 | 145 | 10.26% | 26 | 19.76 | 6 | 3 | 9 | 0 | 0 | 0 | 137 | 5 | 1 | 41.46% | 0 | 1 | 0.46 | 1 | 2 | 0.58 | |||
9 | Tyler Benson | Condors (EDM) | LW | 82 | 14 | 20 | 34 | -4 | 36 | 0 | 141 | 192 | 51 | 111 | 7.29% | 15 | 15.60 | 1 | 6 | 7 | 0 | 0 | 0 | 6 | 2 | 1 | 54.32% | 0 | 0 | 0.41 | 1 | 2 | 0.44 | |||
10 | Egor Zamula | Condors (EDM) | D | 81 | 9 | 21 | 30 | -4 | 38 | 0 | 103 | 103 | 37 | 82 | 8.74% | 107 | 17.51 | 3 | 8 | 11 | 0 | 0 | 0 | 195 | 0 | 0 | 0.00% | 0 | 0 | 0.37 | 0 | 0 | 0.35 | |||
11 | Cole Schwindt | Condors (EDM) | C | 71 | 11 | 16 | 27 | -11 | 22 | 0 | 88 | 110 | 31 | 89 | 10.00% | 6 | 17.04 | 2 | 2 | 4 | 0 | 0 | 0 | 166 | 2 | 0 | 49.69% | 0 | 0 | 0.38 | 0 | 0 | 0.31 | |||
12 | Sean Durzi | Condors (EDM) | D | 52 | 11 | 16 | 27 | -18 | 42 | 0 | 110 | 128 | 35 | 78 | 8.59% | 84 | 23.06 | 4 | 3 | 7 | 0 | 0 | 0 | 108 | 1 | 2 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.43 | |||
13 | Raphael Lavoie | Condors (EDM) | C/RW | 72 | 12 | 12 | 24 | 1 | 34 | 0 | 98 | 117 | 38 | 83 | 10.26% | 11 | 15.58 | 1 | 0 | 1 | 0 | 0 | 0 | 43 | 2 | 0 | 46.98% | 0 | 0 | 0.33 | 0 | 1 | 0.32 | |||
14 | Tyler Steenbergen | Condors (EDM) | LW | 81 | 11 | 12 | 23 | -8 | 12 | 0 | 44 | 109 | 26 | 99 | 10.09% | 14 | 12.04 | 1 | 0 | 1 | 0 | 0 | 0 | 28 | 1 | 1 | 45.00% | 0 | 0 | 0.28 | 1 | 1 | 0.28 | |||
15 | Nick Perbix | Condors (EDM) | D | 77 | 6 | 17 | 23 | 4 | 51 | 5 | 126 | 95 | 29 | 60 | 6.32% | 72 | 16.48 | 2 | 4 | 6 | 0 | 0 | 0 | 7 | 0 | 1 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.29 | |||
16 | Darien Kielb | Condors (EDM) | D | 64 | 4 | 11 | 15 | 8 | 40 | 0 | 108 | 41 | 14 | 30 | 9.76% | 40 | 14.30 | 1 | 2 | 3 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.22 | |||
17 | Stelio Mattheos | Condors (EDM) | RW | 63 | 5 | 5 | 10 | -5 | 24 | 0 | 91 | 64 | 19 | 52 | 7.81% | 9 | 15.25 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 36.05% | 0 | 0 | 0.16 | 0 | 0 | 0.15 | |||
18 | Frederic Allard | Condors (EDM) | D | 52 | 1 | 9 | 10 | 5 | 2 | 0 | 7 | 12 | 4 | 4 | 8.33% | 24 | 4.71 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 1 | 0.00% | 0 | 0 | 0.19 | 0 | 0 | 0.19 | |||
19 | Marc McLaughlin | Condors (EDM) | C | 71 | 4 | 5 | 9 | 0 | 8 | 0 | 42 | 64 | 17 | 43 | 6.25% | 8 | 10.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.52% | 0 | 0 | 0.13 | 1 | 1 | 0.16 | |||
20 | Riley Sutter | Condors (EDM) | C | 48 | 1 | 3 | 4 | -12 | 12 | 0 | 23 | 18 | 4 | 16 | 5.56% | 1 | 5.45 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 1 | 0 | 48.00% | 0 | 0 | 0.08 | 0 | 0 | -0.03 | |||
21 | Mathias Laferriere | Condors (EDM) | RW | 23 | 1 | 3 | 4 | 1 | 4 | 0 | 28 | 13 | 6 | 9 | 7.69% | 2 | 14.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 31.25% | 0 | 0 | 0.17 | 0 | 0 | 0.19 | |||
22 | Max Willman | Condors (EDM) | LW | 18 | 0 | 2 | 2 | -6 | 8 | 0 | 2 | 11 | 4 | 11 | 0.00% | 2 | 6.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.11 | 0 | 0 | -0.05 | |||
23 | Brady Lyle | Condors (EDM) | D | 12 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 2 | 1.65 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | 0.04 | |||
24 | Cole Hults | Condors (EDM) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 1505 | 256 | 445 | 701 | -26 | 562 | 20 | 1779 | 2743 | 792 | 1950 | 9.33% | 803 | 16.15 | 58 | 99 | 157 | 2438 | 1 | 2 | 3 | 1715 | 40 | 18 | 51.34% | 6662 | 0 | 0 | 1 | 3 | 0.58 | 6 | 20 |
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 | Craig Anderson | Condors (EDM) | 62 | 30 | 22 | 7 | 0.915 | 2.90 | 3583 | 0 | 4 | 173 | 2027 | 0 | 2 | 3 | 0.714 | 21 | 59 | 22 | 8 | 4 | 0 |
2 | Oscar Dansk | Condors (EDM) | 25 | 10 | 12 | 1 | 0.912 | 2.96 | 1377 | 4 | 2 | 68 | 771 | 0 | 0 | 0 | 0.333 | 3 | 23 | 59 | 3 | 2 | 3 |
Team Total or Average | 87 | 40 | 34 | 8 | 0.914 | 2.92 | 4961 | 4 | 6 | 241 | 2798 | 0 | 2 | 3 | 0.667 | 24 | 82 | 81 | 11 | 6 | 3 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Oglevie | C | 28 | 750,000$ | 700,000$ | UFA | ||||||
Brady Lyle | D | 23 | 1,000,000$ | 1,200,000$ | 800,000$ | RFA | |||||
Cole Hults | D | 24 | 1,050,000$ | 1,050,000$ | RFA | ||||||
Cole Schwindt | C | 21 | 910,833$ | 910,833$ | 910,833$ | 910,833$ | RFA | ||||
Connor Ingram | G | 26 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Craig Anderson | G | 41 | 2,100,000$ | 2,200,000$ | 2,000,000$ | UFA | |||||
Darien Kielb | D | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Egor Zamula | D | 23 | 1,043,334$ | 1,300,000$ | 786,667$ | RFA | |||||
Frederic Allard | D | 25 | 750,000$ | 738,000$ | 750,000$ | UFA | |||||
Hunter Jones | G | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Juuso Valimaki | D | 24 | 1,844,333$ | 2,983,000$ | 1,550,000$ | 1,000,000$ | UFA | ||||
Keean Washkurak | C | 21 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | ||||
Marc McLaughlin | C | 23 | 912,500$ | 900,000$ | 925,000$ | RFA | |||||
Mathias Laferriere | RW | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Matt Kiersted | D | 25 | 1,008,333$ | 1,500,000$ | 762,500$ | 762,500$ | UFA | ||||
Max Willman | LW | 28 | 1,067,500$ | 1,385,000$ | 750,000$ | UFA | |||||
Morgan Geekie | C | 24 | 1,694,500$ | 1,989,000$ | 1,400,000$ | RFA | |||||
Nick Henry | RW | 23 | 826,666$ | 826,666$ | RFA | ||||||
Nick Perbix | D | 24 | 1,025,000$ | 925,000$ | 925,000$ | 1,125,000$ | 1,125,000$ | UFA | |||
Nicolas Beaudin | D | 23 | 1,105,000$ | 1,105,000$ | 1,105,000$ | RFA | |||||
Noah Cates | LW | 24 | 1,066,667$ | 925,000$ | 1,137,500$ | 1,137,500$ | UFA | ||||
Oscar Dansk | G | 29 | 922,000$ | 1,094,000$ | 750,000$ | UFA | |||||
Raphael Lavoie | C/RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Riley Sutter | C | 23 | 871,667$ | 871,667$ | 871,667$ | RFA | |||||
Samuel Poulin | LW | 22 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Sean Durzi | D | 24 | 1,518,750$ | 1,156,250$ | 1,700,000$ | 1,700,000$ | UFA | ||||
Stelio Mattheos | RW | 23 | 994,500$ | 1,239,000$ | 750,000$ | RFA | |||||
Thomas Novak | C | 25 | 825,000$ | 925,000$ | 750,000$ | 800,000$ | UFA | ||||
Tristen Nielsen | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Tyler Benson | LW | 25 | 843,750$ | 937,500$ | 750,000$ | UFA | |||||
Tyler Steenbergen | LW | 25 | 750,000$ | 700,000$ | RFA | ||||||
Zachary Emond | G | 22 | 800,000$ | 800,000$ | 800,000$ | RFA |
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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 |
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1 | Checkers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 92 | 81 | 72 | 14 | 36 | 879 | 942 | 961 | 61 | 33 | 11 | 4 | 24 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 57.1% | 13.9% | 90.9% | 104.8 | FUN |
2 | Marlies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 92 | 81 | 72 | 14 | 49 | 879 | 942 | 961 | 61 | 21 | 12 | 4 | 20 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 33.3% | 6.1% | 90.5% | 96.6 | Unlucky |
3 | Americans | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 92 | 81 | 72 | 14 | 69 | 879 | 942 | 961 | 61 | 62 | 27 | 10 | 39 | 8 | 3 | 37.50% | 5 | 1 | 80.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 50.0% | 10.1% | 91.9% | 102.1 | LUCKY |
4 | Binghamton Senateurs | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 11 | 0 | 3 | 0.500 | 11 | 19 | 30 | 0 | 0 | 92 | 81 | 72 | 14 | 119 | 879 | 942 | 961 | 61 | 104 | 39 | 22 | 65 | 11 | 2 | 18.18% | 11 | 0 | 100.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 45.0% | 9.2% | 89.4% | 98.7 | FUN |
5 | Bears | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 92 | 81 | 72 | 14 | 57 | 879 | 942 | 961 | 61 | 67 | 24 | 18 | 42 | 3 | 0 | 0.00% | 9 | 2 | 77.78% | 1 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 36.4% | 7.0% | 86.6% | 93.6 | Unlucky |
6 | Rockets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 92 | 81 | 72 | 14 | 37 | 879 | 942 | 961 | 61 | 43 | 15 | 8 | 19 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 50.0% | 8.1% | 95.3% | 103.5 | DULL |
7 | Providence Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 92 | 81 | 72 | 14 | 44 | 879 | 942 | 961 | 61 | 47 | 10 | 8 | 20 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 33.3% | 6.8% | 89.4% | 96.2 | Unlucky |
8 | Wolves | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 92 | 81 | 72 | 14 | 80 | 879 | 942 | 961 | 61 | 50 | 17 | 14 | 35 | 10 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 55.6% | 6.3% | 90.0% | 96.3 | Unlucky |
9 | Eagles | 5 | 2 | 1 | 0 | 1 | 0 | 0 | 1 | 18 | 14 | 4 | 7 | 0.700 | 18 | 29 | 47 | 1 | 0 | 92 | 81 | 72 | 14 | 146 | 879 | 942 | 961 | 61 | 172 | 57 | 34 | 94 | 13 | 3 | 23.08% | 17 | 0 | 100.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 51.7% | 12.3% | 91.9% | 104.2 | LUCKY |
10 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 92 | 81 | 72 | 14 | 32 | 879 | 942 | 961 | 61 | 37 | 8 | 4 | 21 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 80.0% | 12.5% | 94.6% | 107.1 | LUCKY |
11 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 92 | 81 | 72 | 14 | 31 | 879 | 942 | 961 | 61 | 50 | 11 | 6 | 16 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 50.0% | 3.2% | 96.0% | 99.2 | DULL |
12 | islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 92 | 81 | 72 | 14 | 46 | 879 | 942 | 961 | 61 | 39 | 10 | 9 | 22 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 83.3% | 15.2% | 94.9% | 110.1 | LUCKY |
13 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 92 | 81 | 72 | 14 | 57 | 879 | 942 | 961 | 61 | 71 | 12 | 20 | 41 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 57.1% | 15.8% | 90.1% | 105.9 | FUN |
14 | Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 92 | 81 | 72 | 14 | 38 | 879 | 942 | 961 | 61 | 29 | 7 | 6 | 21 | 5 | 1 | 20.00% | 3 | 2 | 33.33% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 100.0% | 10.5% | 93.1% | 103.6 | LUCKY |
15 | Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 92 | 81 | 72 | 14 | 26 | 879 | 942 | 961 | 61 | 53 | 13 | 10 | 26 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 0.0% | 0.0% | 86.8% | 86.8 | Unlucky |
16 | Barracuda | 6 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 17 | 19 | -2 | 5 | 0.417 | 17 | 29 | 46 | 0 | 1 | 92 | 81 | 72 | 14 | 190 | 879 | 942 | 961 | 61 | 188 | 53 | 38 | 115 | 21 | 5 | 23.81% | 18 | 6 | 66.67% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 48.0% | 8.9% | 89.9% | 98.8 | Unlucky |
17 | Iowa Wild | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 92 | 81 | 72 | 14 | 65 | 879 | 942 | 961 | 61 | 64 | 14 | 18 | 41 | 10 | 3 | 30.00% | 7 | 1 | 85.71% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 22.2% | 7.7% | 87.5% | 95.2 | Unlucky |
18 | Reign | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 7 | 8 | 10 | 0.833 | 15 | 26 | 41 | 0 | 2 | 92 | 81 | 72 | 14 | 240 | 879 | 942 | 961 | 61 | 164 | 46 | 45 | 120 | 24 | 3 | 12.50% | 15 | 0 | 100.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 63.2% | 6.3% | 95.7% | 102.0 | DULL |
19 | Thunderbirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 2 | 9 | 4 | 1.000 | 11 | 20 | 31 | 0 | 1 | 92 | 81 | 72 | 14 | 64 | 879 | 942 | 961 | 61 | 67 | 19 | 10 | 45 | 5 | 3 | 60.00% | 5 | 0 | 100.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 80.0% | 17.2% | 97.0% | 114.2 | LUCKY |
20 | Wranglers | 6 | 1 | 3 | 0 | 1 | 0 | 1 | 0 | 17 | 19 | -2 | 6 | 0.500 | 17 | 31 | 48 | 1 | 0 | 92 | 81 | 72 | 14 | 174 | 879 | 942 | 961 | 61 | 217 | 45 | 36 | 130 | 21 | 2 | 9.52% | 18 | 3 | 83.33% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 48.4% | 9.8% | 91.2% | 101.0 | LUCKY |
21 | Gulls | 6 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 21 | 20 | 1 | 6 | 0.500 | 21 | 38 | 59 | 0 | 0 | 92 | 81 | 72 | 14 | 206 | 879 | 942 | 961 | 61 | 230 | 58 | 36 | 140 | 22 | 6 | 27.27% | 17 | 7 | 58.82% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 53.6% | 10.2% | 91.3% | 101.5 | LUCKY |
22 | Texas Stars | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 6 | 6 | 4 | 1.000 | 12 | 19 | 31 | 0 | 0 | 92 | 81 | 72 | 14 | 73 | 879 | 942 | 961 | 61 | 60 | 14 | 12 | 46 | 10 | 5 | 50.00% | 6 | 3 | 50.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 70.0% | 16.4% | 90.0% | 106.4 | FUN |
23 | Canucks | 6 | 1 | 2 | 0 | 0 | 2 | 0 | 1 | 14 | 18 | -4 | 5 | 0.417 | 14 | 26 | 40 | 0 | 1 | 92 | 81 | 72 | 14 | 234 | 879 | 942 | 961 | 61 | 214 | 74 | 52 | 141 | 24 | 2 | 8.33% | 23 | 6 | 73.91% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 50.0% | 6.0% | 91.6% | 97.6 | DULL |
24 | Comets | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 92 | 81 | 72 | 14 | 35 | 879 | 942 | 961 | 61 | 27 | 9 | 4 | 24 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 75.0% | 8.6% | 92.6% | 101.2 | DULL |
25 | W-B/Scranton Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 92 | 81 | 72 | 14 | 46 | 879 | 942 | 961 | 61 | 29 | 6 | 10 | 19 | 0 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 80.0% | 8.7% | 89.7% | 98.4 | Unlucky |
26 | Roadrunners | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 92 | 81 | 72 | 14 | 76 | 879 | 942 | 961 | 61 | 79 | 25 | 14 | 47 | 8 | 3 | 37.50% | 7 | 1 | 85.71% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 33.3% | 7.9% | 91.1% | 99.0 | Unlucky |
27 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 92 | 81 | 72 | 14 | 38 | 879 | 942 | 961 | 61 | 36 | 12 | 4 | 19 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 16.7% | 2.6% | 86.1% | 88.7 | Unlucky |
28 | Admirals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 92 | 81 | 72 | 14 | 71 | 879 | 942 | 961 | 61 | 70 | 17 | 4 | 46 | 4 | 2 | 50.00% | 2 | 1 | 50.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 55.6% | 9.9% | 92.9% | 102.7 | LUCKY |
29 | Moose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 92 | 81 | 72 | 14 | 66 | 879 | 942 | 961 | 61 | 71 | 20 | 14 | 41 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 25.0% | 4.5% | 91.5% | 96.1 | DULL |
30 | Silver Knights | 6 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 22 | 21 | 1 | 6 | 0.500 | 22 | 40 | 62 | 0 | 1 | 92 | 81 | 72 | 14 | 196 | 879 | 942 | 961 | 61 | 215 | 63 | 36 | 130 | 17 | 5 | 29.41% | 17 | 5 | 70.59% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 51.5% | 11.2% | 90.2% | 101.5 | FUN |
31 | Firebirds | 6 | 1 | 4 | 0 | 0 | 1 | 0 | 0 | 12 | 21 | -9 | 3 | 0.250 | 12 | 20 | 32 | 0 | 0 | 92 | 81 | 72 | 14 | 178 | 879 | 942 | 961 | 61 | 192 | 57 | 50 | 132 | 22 | 3 | 13.64% | 20 | 2 | 90.00% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 32.1% | 6.7% | 89.1% | 95.8 | Unlucky |
_Vs Division | 42 | 13 | 19 | 0 | 3 | 3 | 2 | 2 | 118 | 125 | -7 | 41 | 0.488 | 118 | 210 | 328 | 1 | 5 | 92 | 81 | 72 | 14 | 1418 | 879 | 942 | 961 | 61 | 1420 | 396 | 293 | 908 | 151 | 26 | 17.22% | 128 | 29 | 77.34% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 48.9% | 8.3% | 91.2% | 99.5 | DULL | |
_Vs Conference | 61 | 20 | 26 | 0 | 6 | 4 | 2 | 3 | 189 | 180 | 9 | 63 | 0.516 | 189 | 334 | 523 | 2 | 6 | 92 | 81 | 72 | 14 | 2036 | 879 | 942 | 961 | 61 | 2074 | 574 | 419 | 1309 | 215 | 47 | 21.86% | 188 | 36 | 80.85% | 0 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 49.7% | 9.3% | 91.3% | 100.6 | LUCKY | |
_Since Last GM Reset | 82 | 31 | 34 | 0 | 7 | 5 | 2 | 3 | 254 | 247 | 7 | 88 | 0.537 | 254 | 453 | 707 | 3 | 6 | 92 | 81 | 72 | 14 | 2819 | 879 | 942 | 961 | 61 | 2801 | 805 | 560 | 1741 | 287 | 60 | 20.91% | 255 | 51 | 80.00% | 1 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 49.7% | 9.0% | 91.2% | 100.2 | LUCKY | |
Total | 82 | 31 | 34 | 0 | 7 | 5 | 2 | 3 | 254 | 247 | 7 | 88 | 0.537 | 254 | 453 | 707 | 3 | 6 | 92 | 81 | 72 | 14 | 2819 | 879 | 942 | 961 | 61 | 2801 | 805 | 560 | 1741 | 287 | 60 | 20.91% | 255 | 51 | 80.00% | 1 | 1624 | 3006 | 54.03% | 1548 | 2994 | 51.70% | 711 | 1336 | 53.22% | 1997 | 1379 | 1902 | 604 | 1068 | 538 | 49.7% | 9.0% | 91.2% | 100.2 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3006 |
Neutral Zone Start | 1336 |
Defensive Zone Start | 2994 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3883 |
Faceoffs Lost | 3453 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.7 | 9.57 |
2nd Period | 22.2 | 20.31 |
3rd Period | 33.9 | 30.68 |
Overtime | 34.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 190 |
---|---|
PP Goal | 60 |
PK Goal | 1 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 20 | 20 |
Lost | 16 | 18 |
Overtime Lost | 5 | 3 |
PP Attempt | 287 |
---|---|
PP Goal | 60 |
PK Attempt | 255 |
PK Goal Against | 51 |
Home | |
---|---|
Shots For | 34.4 |
Shots Against | 34.2 |
Goals For | 3.1 |
Goals Against | 3.0 |
Hits | 21.2 |
Shots Blocked | 9.8 |
Pim | 6.8 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,544,925$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Bakersfield | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 32$ | 12$ | $ | $ | $ |
Attendance | 78319 | 39874 | |||
Attendance PCT | 95.51% | 97.25% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2883 - 96.09% | 108,468$ | 4,447,195$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,544,925$ | 3,281,866$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
584,413$ | 0$ | 584,413$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 19,059$ | 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 |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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