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Full Scoreboard »» |
Syracuse Crunch 36-33-8, 80pts · 4th in EASTERN CONFERENCE |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 92 | 82 | 56 | 81 | 68 | 84 | 78 | 74 | 78 | 67 | 62 | 74 | 72 | 99 | 99 | 34 | 37 | 72 | 33 | 700,000$/1yrs | |||
![]() | 47 | C/LW/RW | 96.00 | 91 | 83 | 59 | 81 | 86 | 75 | 75 | 79 | 82 | 63 | 63 | 73 | 69 | 99 | 99 | 18 | 35 | 72 | 35 | 1,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 30 | 90 | 75 | 80 | 72 | 81 | 85 | 84 | 70 | 67 | 72 | 65 | 99 | 99 | 14 | 52 | 72 | 33 | 700,000$/1yrs | |||
![]() | 81 | LW/RW | 100.00 | 53 | 31 | 96 | 78 | 67 | 74 | 77 | 83 | 25 | 75 | 73 | 74 | 69 | 99 | 97 | 39 | 46 | 72 | 31 | 1,000,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 61 | 44 | 85 | 74 | 76 | 67 | 75 | 81 | 77 | 71 | 73 | 80 | 68 | 99 | 99 | 35 | 57 | 72 | 32 | 1,000,000$/1yrs | |||
![]() | 24 | C/LW/RW | 100.00 | 94 | 91 | 57 | 85 | 75 | 87 | 89 | 80 | 80 | 66 | 64 | 81 | 35 | 74 | 74 | 62 | 57 | 72 | 28 | 700,000$/1yrs | |||
![]() | 20 | C/RW | 100.00 | 62 | 51 | 79 | 84 | 73 | 64 | 87 | 73 | 80 | 69 | 62 | 76 | 78 | 99 | 99 | 3 | 58 | 71 | 36 | 700,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 52 | 41 | 95 | 79 | 69 | 64 | 70 | 78 | 76 | 70 | 69 | 76 | 59 | 95 | 94 | 49 | 58 | 70 | 30 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 96 | 94 | 53 | 76 | 76 | 87 | 84 | 75 | 69 | 64 | 59 | 71 | 30 | 86 | 86 | 38 | 65 | 69 | 31 | 1,000,000$/1yrs | |||
![]() | 88 | RW | 100.00 | 59 | 56 | 86 | 90 | 78 | 75 | 86 | 72 | 66 | 65 | 62 | 68 | 69 | 66 | 66 | 67 | 51 | 68 | 26 | 900,000$/6yrs | |||
![]() | 0 | RW | 100.00 | 72 | 63 | 74 | 77 | 77 | 74 | 73 | 69 | 25 | 66 | 61 | 71 | 65 | 90 | 93 | 60 | 51 | 68 | 27 | 900,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 51 | 46 | 94 | 82 | 69 | 78 | 95 | 68 | 74 | 69 | 57 | 67 | 59 | 69 | 69 | 61 | 20 | 67 | 27 | 1,000,000$/4yrs | |||
![]() | 35 | D | 100.00 | 70 | 59 | 78 | 74 | 76 | 71 | 78 | 78 | 25 | 66 | 57 | 78 | 58 | 99 | 99 | 10 | 58 | 72 | 36 | 700,000$/1yrs | |||
![]() | 16 | D | 100.00 | 59 | 49 | 92 | 71 | 82 | 73 | 74 | 80 | 25 | 71 | 66 | 75 | 56 | 99 | 99 | 32 | 47 | 72 | 32 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 89 | 75 | 62 | 68 | 91 | 64 | 73 | 77 | 25 | 57 | 51 | 75 | 54 | 99 | 99 | 18 | 58 | 72 | 33 | 700,000$/1yrs | |||
![]() | 5 | D | 100.00 | 68 | 43 | 86 | 89 | 67 | 80 | 90 | 76 | 20 | 71 | 63 | 73 | 26 | 77 | 73 | 79 | 58 | 72 | 25 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 32 | 87 | 77 | 77 | 73 | 65 | 77 | 25 | 73 | 66 | 83 | 57 | 83 | 78 | 48 | 54 | 72 | 30 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 88 | 87 | 52 | 85 | 78 | 75 | 95 | 65 | 25 | 66 | 56 | 76 | 49 | 59 | 59 | 81 | 55 | 71 | 24 | 700,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 24 | C/RW | 100.00 | 58 | 27 | 92 | 78 | 79 | 80 | 79 | 77 | 82 | 67 | 67 | 76 | 68 | 99 | 99 | 16 | 38 | 72 | 35 | 700,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 54 | 50 | 78 | 86 | 70 | 84 | 95 | 59 | 62 | 53 | 56 | 64 | 62 | 71 | 71 | 67 | 20 | 64 | 25 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 51 | 48 | 96 | 85 | 74 | 72 | 95 | 57 | 25 | 57 | 46 | 64 | 42 | 69 | 69 | 76 | 20 | 65 | 25 | 750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 51 | 47 | 92 | 86 | 71 | 74 | 95 | 57 | 25 | 60 | 42 | 65 | 43 | 66 | 66 | 68 | 19 | 65 | 24 | 700,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 100.00 | 79 | 76 | 77 | 63 | 73 | 91 | 93 | 91 | 93 | 76 | 79 | 99 | 99 | 36 | 70 | 82 | 32 | 700,000$/1yrs |
![]() | 41 | 98.00 | 76 | 78 | 75 | 75 | 75 | 90 | 88 | 87 | 88 | 81 | 76 | 96 | 98 | 44 | 62 | 82 | 29 | 700,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 76 | 78 | 76 | 75 | 76 | 79 | 76 | 78 | 76 | 72 | 74 | 99 | 98 | 6 | 20 | 78 | 38 | 700,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Filip Westerlund | D | 77 | 15 | 43 | 58 | -3 | 38 | 0 | 70 | 143 | 48 | 96 | 10.49% | 102 | 23.47 | 7 | 8 | 15 | 207 | 0 | 0 | 0 | 213 | 4 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
2 | Lukas Vejdemo | C/LW/RW | 77 | 22 | 33 | 55 | 7 | 74 | 10 | 243 | 285 | 73 | 185 | 7.72% | 22 | 20.34 | 5 | 7 | 12 | 204 | 0 | 0 | 0 | 172 | 7 | 0 | 54.27% | 1310 | 0 | 0 | 0 | 0 | 0.70 | 0 | 3 | ||
3 | Ty Rattie | LW/RW | 76 | 25 | 24 | 49 | -7 | 0 | 0 | 8 | 214 | 58 | 158 | 11.68% | 9 | 18.19 | 5 | 9 | 14 | 188 | 1 | 0 | 1 | 103 | 4 | 0 | 34.34% | 1092 | 0 | 0 | 0 | 1 | 0.71 | 0 | 2 | ||
4 | Casey Bailey | C/RW | 77 | 29 | 19 | 48 | 9 | 6 | 0 | 27 | 221 | 66 | 142 | 13.12% | 13 | 14.46 | 0 | 2 | 2 | 65 | 0 | 0 | 0 | 33 | 2 | 4 | 52.04% | 563 | 0 | 0 | 0 | 1 | 0.86 | 0 | 0 | ||
5 | Drew Shore | C/RW | 75 | 21 | 26 | 47 | 14 | 0 | 0 | 7 | 169 | 50 | 148 | 12.43% | 10 | 17.72 | 4 | 4 | 8 | 135 | 0 | 0 | 0 | 73 | 4 | 1 | 60.54% | 664 | 0 | 0 | 0 | 0 | 0.71 | 1 | 3 | ||
6 | Andrew Shaw | C/LW/RW | 74 | 16 | 28 | 44 | -9 | 48 | 0 | 169 | 177 | 51 | 117 | 9.04% | 23 | 19.91 | 5 | 10 | 15 | 191 | 0 | 0 | 0 | 170 | 3 | 0 | 54.64% | 183 | 0 | 0 | 0 | 1 | 0.60 | 2 | 5 | ||
7 | Thomas Di Pauli | C/LW | 77 | 17 | 21 | 38 | -13 | 4 | 0 | 12 | 187 | 54 | 148 | 9.09% | 8 | 16.20 | 3 | 7 | 10 | 131 | 0 | 0 | 0 | 136 | 2 | 0 | 57.76% | 303 | 0 | 0 | 0 | 0 | 0.61 | 0 | 2 | ||
8 | Petter Granberg | D | 77 | 5 | 32 | 37 | -6 | 4 | 0 | 11 | 94 | 21 | 49 | 5.32% | 75 | 18.92 | 3 | 5 | 8 | 112 | 0 | 0 | 0 | 142 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
9 | Taylor Fedun | D | 77 | 10 | 25 | 35 | -5 | 64 | 0 | 183 | 107 | 38 | 72 | 9.35% | 105 | 23.19 | 5 | 4 | 9 | 207 | 0 | 0 | 0 | 203 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
10 | Ilya Lyubushkin | D | 71 | 8 | 24 | 32 | 10 | 6 | 0 | 26 | 79 | 30 | 62 | 10.13% | 52 | 14.89 | 2 | 4 | 6 | 108 | 0 | 0 | 0 | 28 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
11 | Michael Frolik | C/RW | 77 | 7 | 22 | 29 | -15 | 24 | 0 | 111 | 158 | 40 | 106 | 4.43% | 11 | 15.88 | 1 | 10 | 11 | 137 | 0 | 0 | 0 | 78 | 3 | 0 | 56.10% | 959 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
12 | Jordan Nolan | C/LW/RW | 74 | 15 | 13 | 28 | -6 | 58 | 0 | 151 | 147 | 41 | 90 | 10.20% | 14 | 15.37 | 2 | 1 | 3 | 55 | 0 | 0 | 0 | 46 | 0 | 2 | 62.05% | 477 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
13 | Jared Cowen | D | 77 | 6 | 22 | 28 | 0 | 92 | 0 | 288 | 73 | 23 | 50 | 8.22% | 90 | 21.03 | 3 | 4 | 7 | 199 | 0 | 1 | 1 | 178 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
14 | Carter Rowney | C/RW | 62 | 9 | 14 | 23 | 8 | 2 | 0 | 6 | 148 | 32 | 106 | 6.08% | 7 | 15.44 | 1 | 7 | 8 | 96 | 0 | 0 | 0 | 60 | 1 | 0 | 53.68% | 95 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
15 | Tyler Tucker | D | 77 | 1 | 16 | 17 | -2 | 69 | 15 | 188 | 33 | 22 | 28 | 3.03% | 88 | 16.87 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 126 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
16 | Joseph Anderson | RW | 72 | 5 | 11 | 16 | -5 | 6 | 0 | 57 | 83 | 31 | 70 | 6.02% | 3 | 11.82 | 1 | 2 | 3 | 27 | 0 | 0 | 0 | 10 | 0 | 0 | 49.26% | 272 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
17 | Gregory Hofmann | C/LW | 77 | 5 | 7 | 12 | -13 | 91 | 15 | 143 | 62 | 16 | 52 | 8.06% | 6 | 10.62 | 0 | 3 | 3 | 27 | 0 | 0 | 0 | 9 | 0 | 0 | 54.34% | 587 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
18 | Spencer Smallman | RW | 72 | 2 | 5 | 7 | -5 | 2 | 0 | 9 | 57 | 25 | 47 | 3.51% | 4 | 7.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 35 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
19 | Cooper Marody | C/RW | 33 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 8 | 2 | 4 | 12.50% | 0 | 1.94 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 1 | 0 | 0 | 52.38% | 21 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
20 | Wyatte Wylie | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Felix Bibeau | LW | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 6.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1386 | 219 | 385 | 604 | -43 | 588 | 40 | 1709 | 2447 | 721 | 1731 | 8.95% | 642 | 16.41 | 47 | 87 | 134 | 2112 | 1 | 1 | 2 | 1789 | 34 | 11 | 52.06% | 6563 | 0 | 0 | 0 | 3 | 0.53 | 3 | 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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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1 | Richard Bachman | 37 | 34 | 19 | 13 | 2 | 0.914 | 2.73 | -0.9 | 2132 | 2 | 1 | 97 | 1131 | 0 | 0 | 0 | 0.625 | 8 | 34 | 43 | 5 | 1 | 3 | |
2 | Spencer Martin | 44 | 43 | 17 | 20 | 6 | 0.897 | 2.97 | -21.7 | 2527 | 2 | 2 | 125 | 1215 | 0 | 3 | 0 | 0.889 | 9 | 43 | 34 | 2 | 3 | 0 | |
Team Total or Average | 81 | 36 | 33 | 8 | 0.905 | 2.86 | 4659 | 4 | 3 | 222 | 2346 | 0 | 3 | 0 | 0.765 | 17 | 77 | 77 | 7 | 4 | 3 |
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|
Andrew Shaw | C/LW/RW | 33 | $700,000 | |||||||
Carter Rowney | C/RW | 35 | $700,000 | |||||||
Casey Bailey | C/RW | 32 | $1,000,000 | |||||||
Cooper Marody | C/RW | 27 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | ||||
Daniel Taylor | G | 38 | $700,000 | |||||||
Dmitri Samorukov | D | 25 | $750,000 | $750,000 | ||||||
Drew Shore | C/RW | 33 | $700,000 | |||||||
Felix Bibeau | LW | 25 | $950,000 | |||||||
Filip Westerlund | D | 25 | $950,000 | |||||||
Gregory Hofmann | C/LW | 31 | $1,000,000 | |||||||
Ilya Lyubushkin | D | 30 | $700,000 | |||||||
Jared Cowen | D | 33 | $700,000 | |||||||
Jordan Nolan | C/LW/RW | 35 | $1,000,000 | |||||||
Joseph Anderson | RW | 26 | $900,000 | $900,000 | $900,000 | $900,000 | $900,000 | $900,000 | ||
Lukas Vejdemo | C/LW/RW | 28 | $700,000 | |||||||
Michael Frolik | C/RW | 36 | $700,000 | |||||||
Petter Granberg | D | 32 | $700,000 | |||||||
Richard Bachman | G | 32 | $700,000 | |||||||
Spencer Martin | G | 29 | $700,000 | |||||||
Spencer Smallman | RW | 27 | $900,000 | $900,000 | $900,000 | |||||
Taylor Fedun | D | 36 | $700,000 | |||||||
Thomas Di Pauli | C/LW | 30 | $1,000,000 | $1,000,000 | ||||||
Ty Rattie | LW/RW | 31 | $1,000,000 | |||||||
Tyler Tucker | D | 24 | $700,000 | $700,000 | $700,000 | |||||
Wyatte Wylie | D | 24 | $700,000 |
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Goalies | |||||||
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 80 | 64 | 72 | 6 | 24 | 837 | 757 | 826 | 42 | 46 | 13 | 12 | 19 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 37.5% | 16.7% | 89.1% | 105.8 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 80 | 64 | 72 | 6 | 45 | 837 | 757 | 826 | 42 | 32 | 10 | 2 | 22 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 40.0% | 4.4% | 90.6% | 95.1 | Unlucky | |
3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 80 | 64 | 72 | 6 | 60 | 837 | 757 | 826 | 42 | 66 | 25 | 20 | 53 | 4 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 54.5% | 10.0% | 89.4% | 99.4 | FUN | |
4 | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 19 | 24 | -5 | 5 | 0.417 | 19 | 32 | 51 | 0 | 0 | 80 | 64 | 72 | 6 | 190 | 837 | 757 | 826 | 42 | 210 | 55 | 46 | 139 | 20 | 2 | 10.00% | 21 | 3 | 85.71% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 44.7% | 10.0% | 88.6% | 98.6 | FUN | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 80 | 64 | 72 | 6 | 45 | 837 | 757 | 826 | 42 | 46 | 14 | 20 | 36 | 5 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 50.0% | 2.2% | 89.1% | 91.4 | Unlucky | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 80 | 64 | 72 | 6 | 57 | 837 | 757 | 826 | 42 | 45 | 24 | 16 | 34 | 5 | 1 | 20.00% | 8 | 3 | 62.50% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 50.0% | 5.3% | 88.9% | 94.2 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 2 | 1.000 | 7 | 13 | 20 | 0 | 1 | 80 | 64 | 72 | 6 | 46 | 837 | 757 | 826 | 42 | 25 | 10 | 8 | 14 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 100.0% | 15.2% | 100.0% | 115.2 | LUCKY | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 80 | 64 | 72 | 6 | 47 | 837 | 757 | 826 | 42 | 65 | 23 | 26 | 40 | 3 | 1 | 33.33% | 8 | 1 | 87.50% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 28.6% | 6.4% | 90.8% | 97.2 | Unlucky | |
9 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 21 | 13 | 8 | 8 | 0.800 | 21 | 37 | 58 | 0 | 0 | 80 | 64 | 72 | 6 | 165 | 837 | 757 | 826 | 42 | 146 | 28 | 26 | 94 | 31 | 11 | 35.48% | 11 | 1 | 90.91% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 45.5% | 12.7% | 91.1% | 103.8 | Unlucky | |
10 | 6 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 15 | 16 | -1 | 6 | 0.500 | 15 | 24 | 39 | 0 | 0 | 80 | 64 | 72 | 6 | 191 | 837 | 757 | 826 | 42 | 170 | 49 | 40 | 132 | 19 | 4 | 21.05% | 13 | 3 | 76.92% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 45.8% | 7.9% | 90.6% | 98.4 | Unlucky | |
11 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | -2 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 80 | 64 | 72 | 6 | 64 | 837 | 757 | 826 | 42 | 63 | 19 | 14 | 42 | 8 | 3 | 37.50% | 7 | 1 | 85.71% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 30.0% | 9.4% | 87.3% | 96.7 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 80 | 64 | 72 | 6 | 32 | 837 | 757 | 826 | 42 | 42 | 11 | 12 | 29 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 50.0% | 15.6% | 83.3% | 99.0 | FUN | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 80 | 64 | 72 | 6 | 27 | 837 | 757 | 826 | 42 | 29 | 15 | 20 | 37 | 3 | 2 | 66.67% | 8 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 50.0% | 11.1% | 96.6% | 107.7 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 80 | 64 | 72 | 6 | 27 | 837 | 757 | 826 | 42 | 42 | 8 | 4 | 28 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 0.0% | 0.0% | 85.7% | 85.7 | Unlucky | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 80 | 64 | 72 | 6 | 38 | 837 | 757 | 826 | 42 | 31 | 7 | 6 | 28 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 44.4% | 10.5% | 83.9% | 94.4 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 80 | 64 | 72 | 6 | 26 | 837 | 757 | 826 | 42 | 41 | 10 | 10 | 28 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 75.0% | 11.5% | 97.6% | 109.1 | LUCKY | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 80 | 64 | 72 | 6 | 62 | 837 | 757 | 826 | 42 | 82 | 17 | 6 | 52 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 50.0% | 9.7% | 91.5% | 101.1 | LUCKY | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 80 | 64 | 72 | 6 | 29 | 837 | 757 | 826 | 42 | 33 | 3 | 13 | 21 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 50.0% | 10.3% | 93.9% | 104.3 | LUCKY | |
19 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 14 | 0 | 6 | 0.500 | 14 | 26 | 40 | 0 | 0 | 80 | 64 | 72 | 6 | 208 | 837 | 757 | 826 | 42 | 111 | 30 | 46 | 119 | 25 | 2 | 8.00% | 16 | 4 | 75.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 54.5% | 6.7% | 87.4% | 94.1 | Unlucky | |
20 | 5 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 14 | 13 | 1 | 7 | 0.700 | 14 | 25 | 39 | 0 | 0 | 80 | 64 | 72 | 6 | 183 | 837 | 757 | 826 | 42 | 145 | 45 | 32 | 106 | 21 | 5 | 23.81% | 15 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 40.9% | 7.7% | 91.0% | 98.7 | Unlucky | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 80 | 64 | 72 | 6 | 37 | 837 | 757 | 826 | 42 | 44 | 13 | 10 | 21 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 60.0% | 10.8% | 95.5% | 106.3 | LUCKY | |
22 | 7 | 0 | 4 | 0 | 1 | 2 | 0 | 0 | 16 | 24 | -8 | 4 | 0.286 | 16 | 28 | 44 | 0 | 0 | 80 | 64 | 72 | 6 | 208 | 837 | 757 | 826 | 42 | 256 | 55 | 62 | 175 | 14 | 3 | 21.43% | 29 | 5 | 82.76% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 40.6% | 7.7% | 90.6% | 98.3 | Unlucky | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 80 | 64 | 72 | 6 | 27 | 837 | 757 | 826 | 42 | 20 | 12 | 2 | 21 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 75.0% | 14.8% | 90.0% | 104.8 | FUN | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 80 | 64 | 72 | 6 | 23 | 837 | 757 | 826 | 42 | 35 | 10 | 2 | 20 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 14.3% | 4.3% | 82.9% | 87.2 | Unlucky | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 80 | 64 | 72 | 6 | 37 | 837 | 757 | 826 | 42 | 29 | 7 | 8 | 29 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 75.0% | 8.1% | 93.1% | 101.2 | DULL | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 80 | 64 | 72 | 6 | 71 | 837 | 757 | 826 | 42 | 63 | 11 | 18 | 39 | 6 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 50.0% | 11.3% | 87.3% | 98.6 | FUN | |
27 | 9 | 6 | 2 | 0 | 0 | 1 | 0 | 0 | 27 | 18 | 9 | 13 | 0.722 | 27 | 45 | 72 | 0 | 1 | 80 | 64 | 72 | 6 | 271 | 837 | 757 | 826 | 42 | 229 | 75 | 71 | 185 | 27 | 5 | 18.52% | 30 | 4 | 86.67% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 61.1% | 10.0% | 92.1% | 102.1 | LUCKY | |
28 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 80 | 64 | 72 | 6 | 71 | 837 | 757 | 826 | 42 | 71 | 14 | 10 | 25 | 10 | 1 | 10.00% | 4 | 2 | 50.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 57.1% | 7.0% | 93.0% | 100.0 | DULL | |
29 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 80 | 64 | 72 | 6 | 60 | 837 | 757 | 826 | 42 | 72 | 19 | 18 | 66 | 5 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 61.5% | 13.3% | 91.7% | 105.0 | LUCKY | |
30 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 8 | 12 | 0 | 1 | 80 | 64 | 72 | 6 | 38 | 837 | 757 | 826 | 42 | 30 | 6 | 6 | 27 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 100.0% | 10.5% | 100.0% | 110.5 | LUCKY | |
31 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 80 | 64 | 72 | 6 | 38 | 837 | 757 | 826 | 42 | 27 | 4 | 6 | 28 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 40.0% | 5.3% | 85.2% | 90.4 | Unlucky | |
_Vs Division | 14 | 14 | 10 | 0 | 1 | 3 | 1 | 2 | 30 | 41 | -11 | 37 | 1.321 | 30 | 50 | 80 | 0 | 0 | 80 | 64 | 72 | 6 | 416 | 837 | 757 | 826 | 42 | 408 | 141 | 110 | 273 | 40 | 7 | 17.50% | 46 | 14 | 69.57% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 46.0% | 7.2% | 90.0% | 97.2 | Unlucky | |
_Vs Conference | 54 | 17 | 25 | 0 | 3 | 5 | 1 | 3 | 140 | 152 | -12 | 50 | 0.463 | 140 | 240 | 380 | 0 | 2 | 80 | 64 | 72 | 6 | 1724 | 837 | 757 | 826 | 42 | 1561 | 452 | 419 | 1150 | 170 | 29 | 17.06% | 175 | 33 | 81.14% | 0 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 48.3% | 8.1% | 90.3% | 98.4 | Unlucky | |
_Since Last GM Reset | 77 | 31 | 33 | 0 | 3 | 5 | 2 | 3 | 221 | 225 | -4 | 80 | 0.519 | 221 | 385 | 606 | 0 | 3 | 80 | 64 | 72 | 6 | 2447 | 837 | 757 | 826 | 42 | 2346 | 642 | 592 | 1709 | 241 | 47 | 19.50% | 251 | 41 | 83.67% | 1 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 48.6% | 9.0% | 90.4% | 99.4 | FUN | |
Total | 77 | 31 | 33 | 0 | 3 | 5 | 2 | 3 | 221 | 225 | -4 | 80 | 0.519 | 221 | 385 | 606 | 0 | 3 | 80 | 64 | 72 | 6 | 2447 | 837 | 757 | 826 | 42 | 2346 | 642 | 592 | 1709 | 241 | 47 | 19.50% | 251 | 41 | 83.67% | 1 | 1443 | 2708 | 53.29% | 1329 | 2608 | 50.96% | 645 | 1187 | 54.34% | 1923 | 1345 | 1759 | 556 | 985 | 493 | 48.6% | 9.0% | 90.4% | 99.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2708 |
Neutral Zone Start | 1187 |
Defensive Zone Start | 2608 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3417 |
Faceoffs Lost | 3086 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 20.7 | 20.31 |
3rd Period | 31.4 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 173 |
---|---|
PP Goal | 47 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 24 | 12 |
Lost | 12 | 21 |
Overtime Lost | 3 | 5 |
PP Attempt | 241 |
---|---|
PP Goal | 47 |
PK Attempt | 251 |
PK Goal Against | 41 |
Home | |
---|---|
Shots For | 31.8 |
Shots Against | 30.5 |
Goals For | 2.9 |
Goals Against | 2.9 |
Hits | 22.2 |
Shots Blocked | 8.3 |
Pim | 7.7 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$2,025,000 | $0 | $0 | $75,000,000 |
Arena | About us | |
---|---|---|
![]() | Name | Amalie Arena |
City | Syracuse | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 3000 | |||
Ticket Price | $22 | $10 | $ | $ | $ |
Attendance | 221779 | 112438 | |||
Attendance PCT | 94.78% | 96.10% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
2 | 8570 - 95.22% | $184,724 | $7,204,223 | 9000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$2,025,000 | $2,025,000 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$1,849,389 | $0 | $1,849,389 | $0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$369,447 | 12 | $12,500 | $150,000 |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$150,000 | $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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