Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mathias Brome | 39 | LW | 100.00 | 63 | 36 | 90 | 68 | 72 | 83 | 77 | 66 | 57 | 64 | 67 | 62 | 69 | 73 | 68 | 0 | 50 | 70 | 28 | 950,000$/1yrs | |||
Beck Malenstyn | 47 | LW | 100.00 | 86 | 40 | 87 | 61 | 83 | 77 | 88 | 59 | 53 | 58 | 60 | 63 | 57 | 64 | 66 | 0 | 50 | 69 | 25 | 804,000$/3yrs | |||
Michael Sgarbossa | 23 | C | 100.00 | 63 | 36 | 92 | 65 | 70 | 84 | 71 | 65 | 77 | 67 | 63 | 62 | 65 | 70 | 72 | 0 | 50 | 69 | 30 | 750,000$/2yrs | |||
Ross Johnston | 32 | LW | 100.00 | 90 | 85 | 68 | 61 | 96 | 75 | 74 | 59 | 55 | 63 | 57 | 58 | 62 | 69 | 71 | 0 | 50 | 69 | 29 | 1,080,400$/5yrs | |||
Clark Bishop | 51 | C | 100.00 | 73 | 40 | 83 | 64 | 77 | 75 | 72 | 63 | 78 | 62 | 56 | 64 | 63 | 66 | 68 | 0 | 50 | 68 | 27 | 800,000$/2yrs | |||
Rourke Chartier | 22 | C | 100.00 | 62 | 36 | 93 | 64 | 72 | 91 | 67 | 63 | 68 | 62 | 59 | 62 | 64 | 66 | 68 | 0 | 50 | 67 | 27 | 750,000$/2yrs | |||
Dmitry Sokolov | 74 | RW | 100.00 | 68 | 35 | 93 | 59 | 77 | 75 | 72 | 63 | 56 | 58 | 62 | 57 | 63 | 65 | 64 | 0 | 50 | 66 | 25 | 850,000$/1yrs | |||
Drew Shore | 87 | C | 100.00 | 61 | 43 | 84 | 58 | 82 | 73 | 77 | 57 | 70 | 59 | 58 | 62 | 59 | 78 | 65 | 0 | 50 | 66 | 32 | 750,000$/1yrs | |||
Robert Lantosi | 17 | RW | 100.00 | 60 | 33 | 82 | 59 | 69 | 77 | 82 | 61 | 58 | 60 | 62 | 57 | 63 | 71 | 66 | 0 | 50 | 66 | 27 | 750,000$/1yrs | |||
Mike Vecchione | 19 | RW | 100.00 | 59 | 36 | 91 | 62 | 69 | 80 | 79 | 61 | 63 | 59 | 60 | 61 | 64 | 69 | 71 | 0 | 50 | 66 | 30 | 879,000$/2yrs | |||
Cole Reinhardt (C) | 61 | LW | 100.00 | 72 | 38 | 73 | 56 | 74 | 78 | 85 | 57 | 60 | 58 | 59 | 56 | 58 | 62 | 64 | 0 | 50 | 65 | 23 | 813,333$/3yrs | |||
J.C. Beaudin | 16 | C | 100.00 | 68 | 39 | 78 | 58 | 77 | 74 | 75 | 57 | 66 | 59 | 56 | 57 | 54 | 65 | 67 | 0 | 50 | 64 | 26 | 800,000$/1yrs | |||
Dennis Cholowski | 44 | D | 100.00 | 64 | 38 | 92 | 69 | 80 | 82 | 73 | 67 | 30 | 71 | 59 | 61 | 52 | 64 | 66 | 0 | 50 | 70 | 25 | 883,333$/3yrs | |||
Martin Marincin | 52 | D | 100.00 | 81 | 70 | 83 | 61 | 93 | 71 | 68 | 62 | 30 | 64 | 58 | 68 | 49 | 77 | 70 | 0 | 50 | 70 | 31 | 1,119,000$/1yrs | |||
Christian Wolanin (A) | 86 | D | 100.00 | 66 | 39 | 86 | 65 | 78 | 80 | 73 | 61 | 30 | 67 | 58 | 62 | 51 | 67 | 69 | 0 | 50 | 68 | 28 | 837,500$/2yrs | |||
Johnathan Kovacevic (A) | 26 | D | 100.00 | 73 | 41 | 76 | 59 | 88 | 77 | 84 | 57 | 30 | 58 | 56 | 63 | 45 | 64 | 67 | 0 | 50 | 67 | 25 | 840,000$/4yrs | |||
Julius Honka | 41 | D | 100.00 | 59 | 38 | 87 | 61 | 68 | 73 | 78 | 63 | 30 | 60 | 53 | 59 | 46 | 71 | 66 | 0 | 50 | 65 | 27 | 750,000$/1yrs | |||
Dmitry Osipov | 56 | D | 100.00 | 83 | 74 | 59 | 51 | 92 | 65 | 74 | 51 | 30 | 52 | 54 | 59 | 51 | 66 | 68 | 0 | 50 | 64 | 26 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Patrick Newell | 18 | C/LW/RW | 100.00 | 58 | 35 | 92 | 58 | 60 | 79 | 84 | 56 | 54 | 57 | 58 | 53 | 57 | 69 | 65 | 0 | 50 | 63 | 27 | 962,000$/1yrs | |||
Joe Hicketts | 2 | D | 100.00 | 55 | 37 | 82 | 59 | 64 | 77 | 88 | 58 | 30 | 62 | 56 | 54 | 48 | 66 | 68 | 0 | 50 | 64 | 26 | 868,000$/2yrs | |||
Marc Del Gaizo (R) | 3 | D | 100.00 | 59 | 37 | 81 | 60 | 69 | 72 | 83 | 57 | 30 | 56 | 54 | 53 | 45 | 63 | 65 | 0 | 50 | 63 | 23 | 850,000$/3yrs | |||
Layton Ahac | 14 | D | 100.00 | 69 | 38 | 91 | 53 | 78 | 65 | 63 | 52 | 30 | 55 | 51 | 53 | 45 | 61 | 63 | 0 | 50 | 61 | 22 | 925,000$/3yrs | |||
Michael Callahan (R) | 24 | D | 100.00 | 71 | 38 | 85 | 53 | 80 | 65 | 63 | 52 | 30 | 53 | 54 | 55 | 45 | 63 | 65 | 0 | 50 | 61 | 23 | 850,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marcus Hogberg | 1 | 100.00 | 78 | 82 | 85 | 94 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 74 | 78 | 0 | 50 | 81 | 28 | 900,000$/1yrs |
Kyle Keyser | 35 | 100.00 | 72 | 74 | 73 | 76 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 63 | 69 | 0 | 50 | 73 | 24 | 1,050,000$/2yrs |
Scratches | ||||||||||||||||||||
Emil Larmi | 60 | 100.00 | 62 | 78 | 80 | 71 | 61 | 60 | 62 | 61 | 60 | 62 | 61 | 69 | 73 | 0 | 50 | 67 | 26 | 840,000$/1yrs |
Colten Ellis | 45 | 100.00 | 64 | 66 | 67 | 74 | 63 | 62 | 64 | 63 | 62 | 64 | 63 | 62 | 67 | 0 | 50 | 66 | 22 | 925,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Bondra | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Urk | 54 | 5 | 0$ |
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 | Mathias Brome | Bears (WAS) | LW | 79 | 44 | 59 | 103 | 19 | 8 | 0 | 79 | 348 | 98 | 259 | 12.64% | 26 | 22.55 | 9 | 12 | 21 | 0 | 0 | 0 | 170 | 9 | 1 | 42.90% | 0 | 1 | 1.30 | 2 | 4 | 1.37 | |||
2 | Dennis Cholowski | Bears (WAS) | D | 80 | 10 | 54 | 64 | 12 | 34 | 0 | 90 | 148 | 45 | 105 | 6.76% | 115 | 22.45 | 5 | 16 | 21 | 0 | 1 | 1 | 228 | 3 | 2 | 0.00% | 0 | 0 | 0.80 | 0 | 0 | 0.76 | |||
3 | Michael Sgarbossa | Bears (WAS) | C | 79 | 19 | 45 | 64 | 6 | 8 | 0 | 48 | 236 | 73 | 169 | 8.05% | 18 | 15.95 | 4 | 9 | 13 | 0 | 1 | 1 | 89 | 3 | 0 | 50.36% | 1 | 0 | 0.81 | 0 | 0 | 0.84 | |||
4 | Ross Johnston | Bears (WAS) | LW | 64 | 31 | 28 | 59 | 29 | 136 | 10 | 286 | 172 | 44 | 123 | 18.02% | 9 | 19.01 | 5 | 10 | 15 | 0 | 0 | 0 | 81 | 7 | 4 | 46.85% | 0 | 0 | 0.92 | 1 | 2 | 0.78 | |||
5 | Christian Wolanin | Bears (WAS) | D | 78 | 11 | 47 | 58 | -6 | 63 | 5 | 146 | 140 | 42 | 97 | 7.86% | 149 | 22.81 | 7 | 16 | 23 | 0 | 0 | 0 | 227 | 1 | 0 | 0.00% | 0 | 0 | 0.74 | 0 | 0 | 0.62 | |||
6 | Beck Malenstyn | Bears (WAS) | LW | 81 | 22 | 33 | 55 | -8 | 54 | 0 | 236 | 269 | 76 | 168 | 8.18% | 31 | 21.05 | 4 | 9 | 13 | 0 | 0 | 0 | 161 | 2 | 1 | 40.27% | 0 | 0 | 0.68 | 0 | 3 | 0.69 | |||
7 | Martin Marincin | Bears (WAS) | D | 66 | 14 | 34 | 48 | 3 | 91 | 5 | 185 | 109 | 30 | 60 | 12.84% | 93 | 20.66 | 6 | 6 | 12 | 0 | 0 | 0 | 167 | 2 | 0 | 0.00% | 1 | 0 | 0.73 | 0 | 0 | 0.54 | |||
8 | Dmitry Sokolov | Bears (WAS) | RW | 82 | 28 | 18 | 46 | 17 | 22 | 0 | 72 | 176 | 46 | 108 | 15.91% | 14 | 15.59 | 3 | 0 | 3 | 0 | 0 | 0 | 47 | 4 | 0 | 44.93% | 0 | 1 | 0.56 | 0 | 0 | 0.64 | |||
9 | Clark Bishop | Bears (WAS) | C | 78 | 18 | 28 | 46 | -10 | 36 | 0 | 78 | 194 | 56 | 157 | 9.28% | 14 | 14.03 | 3 | 1 | 4 | 0 | 0 | 0 | 13 | 4 | 3 | 52.20% | 0 | 0 | 0.59 | 0 | 1 | 0.52 | |||
10 | Julius Honka | Bears (WAS) | D | 81 | 5 | 38 | 43 | 4 | 20 | 0 | 80 | 93 | 32 | 69 | 5.38% | 110 | 19.64 | 4 | 13 | 17 | 0 | 0 | 0 | 198 | 1 | 0 | 0.00% | 0 | 0 | 0.53 | 0 | 0 | 0.51 | |||
11 | Johnathan Kovacevic | Bears (WAS) | D | 83 | 10 | 29 | 39 | 15 | 48 | 10 | 123 | 72 | 29 | 51 | 13.89% | 108 | 15.93 | 0 | 3 | 3 | 0 | 0 | 0 | 84 | 0 | 1 | 0.00% | 0 | 0 | 0.47 | 0 | 0 | 0.45 | |||
12 | Drew Shore | Bears (WAS) | C | 74 | 16 | 19 | 35 | 5 | 9 | 5 | 26 | 98 | 22 | 82 | 16.33% | 13 | 12.18 | 8 | 8 | 16 | 1 | 0 | 1 | 219 | 2 | 1 | 51.64% | 0 | 0 | 0.47 | 0 | 3 | 0.44 | |||
13 | Rourke Chartier | Bears (WAS) | C | 73 | 16 | 19 | 35 | -4 | 4 | 0 | 28 | 179 | 51 | 133 | 8.94% | 16 | 14.77 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 4 | 1 | 48.86% | 0 | 1 | 0.48 | 0 | 0 | 0.51 | |||
14 | Robert Lantosi | Bears (WAS) | RW | 81 | 18 | 15 | 33 | -9 | 12 | 0 | 29 | 166 | 42 | 104 | 10.84% | 7 | 12.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 42.67% | 0 | 0 | 0.41 | 0 | 0 | 0.41 | |||
15 | Cole Reinhardt | Bears (WAS) | LW | 82 | 13 | 17 | 30 | -16 | 42 | 0 | 142 | 131 | 33 | 100 | 9.92% | 16 | 14.47 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 2 | 48.12% | 0 | 0 | 0.37 | 0 | 0 | 0.28 | |||
16 | Mike Vecchione | Bears (WAS) | RW | 81 | 14 | 16 | 30 | -15 | 6 | 0 | 14 | 182 | 60 | 117 | 7.69% | 19 | 13.43 | 1 | 2 | 3 | 0 | 0 | 0 | 26 | 1 | 1 | 50.00% | 0 | 0 | 0.37 | 0 | 0 | 0.39 | |||
17 | Joe Hicketts | Bears (WAS) | D | 74 | 1 | 18 | 19 | -8 | 6 | 0 | 25 | 47 | 17 | 38 | 2.13% | 66 | 15.75 | 0 | 2 | 2 | 0 | 0 | 0 | 73 | 0 | 1 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.22 | |||
18 | J.C. Beaudin | Bears (WAS) | C | 82 | 5 | 13 | 18 | -6 | 2 | 0 | 30 | 67 | 20 | 35 | 7.46% | 12 | 7.19 | 5 | 9 | 14 | 0 | 0 | 0 | 184 | 0 | 0 | 49.49% | 0 | 0 | 0.22 | 2 | 2 | 0.20 | |||
19 | Dmitry Osipov | Bears (WAS) | D | 79 | 3 | 13 | 16 | -7 | 138 | 10 | 252 | 47 | 15 | 24 | 6.38% | 90 | 16.66 | 1 | 2 | 3 | 0 | 0 | 0 | 88 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | -0.02 | |||
20 | Marc Del Gaizo | Bears (WAS) | D | 30 | 0 | 6 | 6 | -6 | 12 | 0 | 18 | 12 | 3 | 11 | 0.00% | 27 | 13.14 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.08 | |||
21 | Patrick Newell | Bears (WAS) | C/LW/RW | 22 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 9 | 2 | 1 | 11.11% | 0 | 2.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.05 | 0 | 0 | 0.04 | |||
22 | Michael Callahan | Bears (WAS) | D | 4 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0.00% | 2 | 4.43 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.11 | |||
23 | Layton Ahac | Bears (WAS) | D | 4 | 0 | 0 | 0 | -2 | 2 | 0 | 4 | 0 | 1 | 1 | 0.00% | 2 | 9.75 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.21 | |||
Team Total or Average | 1537 | 299 | 550 | 849 | 12 | 755 | 45 | 1992 | 2895 | 837 | 2012 | 10.33% | 957 | 16.30 | 65 | 118 | 183 | 2278 | 1 | 2 | 3 | 2102 | 45 | 18 | 48.27% | 7756 | 0 | 0 | 2 | 3 | 0.68 | 5 | 15 |
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 | Marcus Hogberg | Bears (WAS) | 67 | 33 | 24 | 3 | 0.914 | 3.37 | 3619 | 8 | 3 | 203 | 2365 | 0 | 6 | 2 | 0.643 | 14 | 60 | 18 | 8 | 3 | 2 |
2 | Kyle Keyser | Bears (WAS) | 28 | 14 | 8 | 0 | 0.899 | 3.44 | 1327 | 0 | 0 | 76 | 755 | 0 | 0 | 0 | 0.000 | 0 | 22 | 60 | 1 | 1 | 2 |
Team Total or Average | 95 | 47 | 32 | 3 | 0.911 | 3.39 | 4946 | 8 | 3 | 279 | 3120 | 0 | 6 | 2 | 0.643 | 14 | 82 | 78 | 9 | 4 | 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 | LW | 25 | 804,000$ | 887,000$ | 762,500$ | 762,500$ | UFA | ||||
Christian Wolanin | D | 28 | 837,500$ | 925,000$ | 750,000$ | UFA | |||||
Clark Bishop | C | 27 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Cole Reinhardt | LW | 23 | 813,333$ | 813,333$ | 813,333$ | 813,333$ | RFA | ||||
Colten Ellis | G | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Dennis Cholowski | D | 25 | 883,333$ | 1,125,000$ | 762,500$ | 762,500$ | UFA | ||||
Dmitry Osipov | D | 26 | 750,000$ | 750,000$ | UFA | ||||||
Dmitry Sokolov | RW | 25 | 850,000$ | 850,000$ | RFA | ||||||
Drew Shore | C | 32 | 750,000$ | 750,000$ | UFA | ||||||
Emil Larmi | G | 26 | 840,000$ | 840,000$ | UFA | ||||||
J.C. Beaudin | C | 26 | 800,000$ | 800,000$ | UFA | ||||||
Joe Hicketts | D | 26 | 868,000$ | 986,000$ | 750,000$ | UFA | |||||
Johnathan Kovacevic | D | 25 | 840,000$ | 1,060,000$ | 766,667$ | 766,667$ | 766,667$ | UFA | |||
Julius Honka | D | 27 | 750,000$ | 700,000$ | UFA | ||||||
Kyle Keyser | G | 24 | 1,050,000$ | 1,350,000$ | 750,000$ | RFA | |||||
Layton Ahac | D | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Marc Del Gaizo | D | 23 | 850,000$ | 700,000$ | 925,000$ | 925,000$ | RFA | ||||
Marcus Hogberg | G | 28 | 900,000$ | 900,000$ | UFA | ||||||
Martin Marincin | D | 31 | 1,119,000$ | 1,119,000$ | UFA | ||||||
Mathias Brome | LW | 28 | 950,000$ | 950,000$ | UFA | ||||||
Michael Callahan | D | 23 | 850,000$ | 700,000$ | 925,000$ | 925,000$ | RFA | ||||
Michael Sgarbossa | C | 30 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Mike Vecchione | RW | 30 | 879,000$ | 1,008,000$ | 750,000$ | UFA | |||||
Patrick Newell | C/LW/RW | 27 | 962,000$ | 962,000$ | UFA | ||||||
Robert Lantosi | RW | 27 | 750,000$ | 727,000$ | UFA | ||||||
Ross Johnston | LW | 29 | 1,080,400$ | 1,002,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||
Rourke Chartier | C | 27 | 750,000$ | 750,000$ | 750,000$ | 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 | Checkers | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 11 | 19 | 0 | 0 | 111 | 86 | 88 | 11 | 54 | 948 | 895 | 973 | 43 | 80 | 30 | 20 | 44 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 63.6% | 14.8% | 93.8% | 108.6 | LUCKY |
2 | Marlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 111 | 86 | 88 | 11 | 65 | 948 | 895 | 973 | 43 | 95 | 21 | 18 | 40 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 36.8% | 12.3% | 86.3% | 98.6 | FUN |
3 | Americans | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 1 | 0 | 111 | 86 | 88 | 11 | 74 | 948 | 895 | 973 | 43 | 91 | 28 | 12 | 36 | 9 | 3 | 33.33% | 6 | 0 | 100.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 20.0% | 6.8% | 91.2% | 98.0 | DULL |
4 | Binghamton Senateurs | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 12 | -6 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 111 | 86 | 88 | 11 | 52 | 948 | 895 | 973 | 43 | 95 | 27 | 6 | 45 | 3 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 37.5% | 11.5% | 87.4% | 98.9 | FUN |
5 | Rockets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 0 | 0.000 | 8 | 15 | 23 | 0 | 0 | 111 | 86 | 88 | 11 | 64 | 948 | 895 | 973 | 43 | 89 | 22 | 28 | 49 | 7 | 3 | 42.86% | 11 | 3 | 72.73% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 33.3% | 12.5% | 85.4% | 97.9 | FUN |
6 | Providence Bruins | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 9 | 1 | 3 | 0.750 | 10 | 20 | 30 | 0 | 0 | 111 | 86 | 88 | 11 | 82 | 948 | 895 | 973 | 43 | 86 | 29 | 10 | 47 | 10 | 2 | 20.00% | 5 | 2 | 60.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 53.3% | 12.2% | 89.5% | 101.7 | FUN |
7 | Wolves | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 16 | 29 | -13 | 2 | 0.167 | 16 | 29 | 45 | 0 | 0 | 111 | 86 | 88 | 11 | 211 | 948 | 895 | 973 | 43 | 239 | 73 | 75 | 151 | 29 | 4 | 13.79% | 27 | 7 | 74.07% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 35.3% | 7.6% | 87.9% | 95.4 | Unlucky |
8 | Eagles | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 111 | 86 | 88 | 11 | 47 | 948 | 895 | 973 | 43 | 36 | 12 | 10 | 18 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 80.0% | 8.5% | 91.7% | 100.2 | DULL |
9 | Phantoms | 6 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 22 | 17 | 5 | 8 | 0.667 | 22 | 41 | 63 | 0 | 0 | 111 | 86 | 88 | 11 | 248 | 948 | 895 | 973 | 43 | 224 | 65 | 44 | 145 | 16 | 3 | 18.75% | 21 | 5 | 76.19% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 61.3% | 8.9% | 92.4% | 101.3 | Unlucky |
10 | Wolf Pack | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 26 | -6 | 4 | 0.333 | 20 | 36 | 56 | 0 | 0 | 111 | 86 | 88 | 11 | 182 | 948 | 895 | 973 | 43 | 250 | 65 | 61 | 123 | 20 | 2 | 10.00% | 22 | 5 | 77.27% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 46.2% | 11.0% | 89.6% | 100.6 | FUN |
11 | islanders | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 26 | 16 | 10 | 8 | 0.667 | 26 | 45 | 71 | 0 | 1 | 111 | 86 | 88 | 11 | 210 | 948 | 895 | 973 | 43 | 223 | 66 | 54 | 144 | 25 | 8 | 32.00% | 25 | 6 | 76.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 64.3% | 12.4% | 92.8% | 105.2 | LUCKY |
12 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 111 | 86 | 88 | 11 | 37 | 948 | 895 | 973 | 43 | 37 | 10 | 13 | 21 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 40.0% | 8.1% | 89.2% | 97.3 | Unlucky |
13 | Griffins | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 6 | 0.600 | 18 | 34 | 52 | 0 | 0 | 111 | 86 | 88 | 11 | 163 | 948 | 895 | 973 | 43 | 185 | 70 | 57 | 122 | 11 | 2 | 18.18% | 19 | 6 | 68.42% | 1 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 61.5% | 11.0% | 91.4% | 102.4 | LUCKY |
14 | Monsters | 6 | 2 | 2 | 0 | 1 | 0 | 0 | 1 | 22 | 20 | 2 | 7 | 0.583 | 22 | 42 | 64 | 0 | 1 | 111 | 86 | 88 | 11 | 217 | 948 | 895 | 973 | 43 | 258 | 57 | 58 | 160 | 14 | 5 | 35.71% | 29 | 2 | 93.10% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 48.6% | 10.1% | 92.2% | 102.4 | LUCKY |
15 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 111 | 86 | 88 | 11 | 28 | 948 | 895 | 973 | 43 | 29 | 8 | 21 | 26 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 75.0% | 10.7% | 96.6% | 107.3 | LUCKY |
16 | Condors | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 111 | 86 | 88 | 11 | 67 | 948 | 895 | 973 | 43 | 57 | 15 | 6 | 41 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 63.6% | 13.4% | 93.0% | 106.4 | LUCKY |
17 | Iowa Wild | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 111 | 86 | 88 | 11 | 69 | 948 | 895 | 973 | 43 | 73 | 27 | 40 | 58 | 5 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 58.3% | 10.1% | 91.8% | 101.9 | LUCKY |
18 | Reign | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 111 | 86 | 88 | 11 | 77 | 948 | 895 | 973 | 43 | 69 | 21 | 14 | 53 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 61.5% | 13.0% | 91.3% | 104.3 | LUCKY |
19 | Thunderbirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 111 | 86 | 88 | 11 | 40 | 948 | 895 | 973 | 43 | 34 | 5 | 6 | 20 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 100.0% | 5.0% | 100.0% | 105.0 | DULL |
20 | Wranglers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 111 | 86 | 88 | 11 | 37 | 948 | 895 | 973 | 43 | 26 | 4 | 6 | 30 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 50.0% | 5.4% | 96.2% | 101.6 | DULL |
21 | Gulls | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 111 | 86 | 88 | 11 | 54 | 948 | 895 | 973 | 43 | 62 | 21 | 10 | 35 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 41.7% | 14.8% | 87.1% | 101.9 | FUN |
22 | Texas Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 111 | 86 | 88 | 11 | 29 | 948 | 895 | 973 | 43 | 34 | 4 | 12 | 17 | 3 | 2 | 66.67% | 6 | 0 | 100.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 33.3% | 10.3% | 94.1% | 104.5 | LUCKY |
23 | Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 111 | 86 | 88 | 11 | 33 | 948 | 895 | 973 | 43 | 36 | 3 | 12 | 29 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 75.0% | 9.1% | 94.4% | 103.5 | LUCKY |
24 | Comets | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 19 | 21 | -2 | 6 | 0.500 | 19 | 36 | 55 | 0 | 0 | 111 | 86 | 88 | 11 | 216 | 948 | 895 | 973 | 43 | 238 | 60 | 50 | 143 | 20 | 5 | 25.00% | 23 | 3 | 86.96% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 43.8% | 8.8% | 91.2% | 100.0 | DULL |
25 | W-B/Scranton Penguins | 6 | 2 | 2 | 0 | 2 | 0 | 0 | 0 | 19 | 16 | 3 | 8 | 0.667 | 19 | 36 | 55 | 1 | 0 | 111 | 86 | 88 | 11 | 223 | 948 | 895 | 973 | 43 | 204 | 61 | 50 | 122 | 19 | 3 | 15.79% | 23 | 4 | 82.61% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 57.1% | 8.5% | 92.2% | 100.7 | DULL |
26 | Roadrunners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 111 | 86 | 88 | 11 | 37 | 948 | 895 | 973 | 43 | 24 | 6 | 2 | 28 | 5 | 3 | 60.00% | 1 | 1 | 0.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 50.0% | 10.8% | 91.7% | 102.5 | LUCKY |
27 | Crunch | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 111 | 86 | 88 | 11 | 63 | 948 | 895 | 973 | 43 | 78 | 25 | 12 | 44 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 66.7% | 12.7% | 93.6% | 106.3 | LUCKY |
28 | Admirals | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 111 | 86 | 88 | 11 | 36 | 948 | 895 | 973 | 43 | 40 | 11 | 12 | 23 | 4 | 3 | 75.00% | 6 | 1 | 83.33% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 40.0% | 13.9% | 90.0% | 103.9 | FUN |
29 | Moose | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 111 | 86 | 88 | 11 | 18 | 948 | 895 | 973 | 43 | 38 | 8 | 6 | 18 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 25.0% | 5.6% | 92.1% | 97.7 | DULL |
30 | Silver Knights | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 111 | 86 | 88 | 11 | 68 | 948 | 895 | 973 | 43 | 51 | 13 | 2 | 51 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 63.6% | 11.8% | 92.2% | 103.9 | LUCKY |
31 | Firebirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 111 | 86 | 88 | 11 | 43 | 948 | 895 | 973 | 43 | 41 | 7 | 2 | 20 | 3 | 2 | 66.67% | 1 | 1 | 0.00% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 40.0% | 14.0% | 82.9% | 96.9 | FUN |
_Vs Division | 42 | 17 | 20 | 0 | 4 | 0 | 0 | 1 | 144 | 145 | -1 | 43 | 0.512 | 144 | 265 | 409 | 1 | 2 | 111 | 86 | 88 | 11 | 1507 | 948 | 895 | 973 | 43 | 1636 | 447 | 392 | 988 | 143 | 30 | 20.98% | 170 | 32 | 81.18% | 0 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 50.2% | 9.6% | 91.1% | 100.7 | Unlucky | |
_Vs Conference | 61 | 25 | 28 | 0 | 5 | 1 | 1 | 1 | 215 | 226 | -11 | 64 | 0.525 | 215 | 394 | 609 | 2 | 2 | 111 | 86 | 88 | 11 | 2124 | 948 | 895 | 973 | 43 | 2435 | 699 | 555 | 1415 | 201 | 44 | 21.89% | 238 | 49 | 79.41% | 1 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 49.1% | 10.1% | 90.7% | 100.8 | FUN | |
_Since Last GM Reset | 82 | 39 | 32 | 0 | 6 | 1 | 2 | 2 | 293 | 283 | 10 | 97 | 0.591 | 293 | 534 | 827 | 2 | 3 | 111 | 86 | 88 | 11 | 2844 | 948 | 895 | 973 | 43 | 3122 | 874 | 729 | 1903 | 274 | 65 | 23.72% | 303 | 59 | 80.53% | 1 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 50.4% | 10.3% | 90.9% | 101.2 | FUN | |
Total | 82 | 39 | 32 | 0 | 6 | 1 | 2 | 2 | 293 | 283 | 10 | 97 | 0.591 | 293 | 534 | 827 | 2 | 3 | 111 | 86 | 88 | 11 | 2844 | 948 | 895 | 973 | 43 | 3122 | 874 | 729 | 1903 | 274 | 65 | 23.72% | 303 | 59 | 80.53% | 1 | 1422 | 3066 | 46.38% | 1611 | 3257 | 49.46% | 711 | 1378 | 51.60% | 1917 | 1302 | 1968 | 615 | 1066 | 531 | 50.4% | 10.3% | 90.9% | 101.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 3066 |
Neutral Zone Start | 1378 |
Defensive Zone Start | 3257 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3744 |
Faceoffs Lost | 3957 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.6 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 34.3 | 30.68 |
Overtime | 34.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 225 |
---|---|
PP Goal | 65 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 23 | 24 |
Lost | 17 | 15 |
Overtime Lost | 1 | 2 |
PP Attempt | 274 |
---|---|
PP Goal | 65 |
PK Attempt | 303 |
PK Goal Against | 59 |
Home | |
---|---|
Shots For | 34.7 |
Shots Against | 38.1 |
Goals For | 3.6 |
Goals Against | 3.5 |
Hits | 23.2 |
Shots Blocked | 10.7 |
Pim | 8.9 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,410,433$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Hershey | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 30$ | 20$ | $ | $ | $ |
Attendance | 77839 | 26065 | |||
Attendance PCT | 94.93% | 63.57% | 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 | 2534 - 84.47% | 103,808$ | 4,256,142$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,410,433$ | 2,332,656$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
399,714$ | 0$ | 397,296$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 12,959$ | 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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