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Full Scoreboard »» |
San Jose Barracuda 46-22-9, 101pts · 9th in WESTERN CONFERENCE |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 20 | C/RW | 97.00 | 56 | 29 | 95 | 83 | 75 | 80 | 83 | 77 | 87 | 66 | 68 | 71 | 73 | 99 | 99 | 1 | 60 | 72 | 35 | 1,100,000$/1yrs | |||
![]() | 25 | LW/RW | 100.00 | 53 | 32 | 93 | 91 | 70 | 77 | 76 | 79 | 26 | 73 | 69 | 75 | 72 | 98 | 92 | 62 | 67 | 72 | 28 | 778,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 52 | 28 | 94 | 79 | 65 | 90 | 78 | 75 | 80 | 67 | 69 | 78 | 69 | 99 | 99 | 48 | 76 | 72 | 31 | 1,245,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 83 | 83 | 62 | 78 | 79 | 85 | 79 | 82 | 81 | 59 | 64 | 78 | 66 | 99 | 99 | 34 | 76 | 72 | 33 | 1,265,000$/1yrs | |||
![]() | 37 | C | 100.00 | 52 | 33 | 94 | 78 | 72 | 69 | 76 | 83 | 77 | 74 | 71 | 74 | 63 | 94 | 98 | 60 | 77 | 72 | 29 | 1,340,000$/1yrs | |||
![]() | 91 | C/RW | 97.00 | 72 | 47 | 80 | 76 | 70 | 84 | 76 | 81 | 81 | 74 | 69 | 71 | 65 | 99 | 99 | 32 | 75 | 72 | 33 | 1,145,000$/1yrs | |||
![]() | 0 | LW | 97.00 | 47 | 39 | 96 | 92 | 59 | 76 | 95 | 78 | 55 | 70 | 78 | 75 | 70 | 69 | 69 | 63 | 77 | 72 | 26 | 900,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 64 | 43 | 90 | 90 | 67 | 75 | 78 | 80 | 44 | 78 | 82 | 75 | 25 | 64 | 64 | 74 | 76 | 72 | 23 | 1,800,000$/5yrs | |||
![]() | 0 | C | 100.00 | 95 | 92 | 53 | 76 | 81 | 59 | 73 | 81 | 75 | 71 | 69 | 73 | 65 | 93 | 89 | 61 | 68 | 71 | 29 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 50 | 34 | 96 | 76 | 64 | 78 | 82 | 78 | 25 | 69 | 73 | 71 | 67 | 98 | 99 | 38 | 76 | 70 | 31 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 52 | 43 | 96 | 88 | 66 | 61 | 75 | 71 | 69 | 68 | 65 | 61 | 64 | 94 | 90 | 65 | 76 | 68 | 26 | 700,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 47 | 40 | 94 | 86 | 66 | 77 | 91 | 67 | 60 | 56 | 66 | 68 | 71 | 66 | 66 | 74 | 77 | 66 | 25 | 1,063,750$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 55 | 52 | 80 | 81 | 77 | 70 | 95 | 68 | 65 | 59 | 66 | 72 | 66 | 50 | 50 | 91 | 20 | 65 | 21 | 925,000$/1yrs | |||
![]() | 58 | D | 100.00 | 80 | 52 | 73 | 81 | 69 | 71 | 72 | 79 | 25 | 70 | 65 | 72 | 58 | 91 | 92 | 67 | 63 | 72 | 27 | 716,000$/3yrs | |||
![]() | 0 | D | 100.00 | 81 | 66 | 62 | 67 | 82 | 69 | 72 | 74 | 25 | 55 | 47 | 77 | 52 | 93 | 93 | 60 | 71 | 70 | 29 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 95 | 71 | 75 | 70 | 70 | 68 | 25 | 52 | 47 | 83 | 25 | 68 | 68 | 75 | 77 | 68 | 25 | 837,778$/3yrs | |||
![]() | 0 | D | 100.00 | 98 | 73 | 69 | 61 | 80 | 69 | 58 | 61 | 25 | 39 | 47 | 88 | 25 | 82 | 82 | 55 | 59 | 68 | 27 | 950,000$/3yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 89 | 82 | 64 | 67 | 80 | 79 | 25 | 70 | 54 | 73 | 25 | 71 | 71 | 72 | 77 | 68 | 26 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 77 | 74 | 85 | 76 | 74 | 75 | 78 | 63 | 50 | 56 | 65 | 70 | 62 | 64 | 64 | 75 | 21 | 65 | 23 | 863,333$/2yrs | |||
![]() | 0 | LW | 100.00 | 66 | 43 | 93 | 74 | 74 | 61 | 79 | 65 | 58 | 61 | 60 | 77 | 25 | 75 | 76 | 68 | 22 | 65 | 25 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 64 | 63 | 78 | 70 | 67 | 54 | 51 | 70 | 50 | 69 | 69 | 68 | 62 | 65 | 67 | 74 | 20 | 63 | 25 | 925,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 99 | 93 | 80 | 69 | 64 | 59 | 68 | 57 | 25 | 50 | 55 | 70 | 25 | 72 | 72 | 68 | 20 | 60 | 26 | 700,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 56 | 52 | 76 | 76 | 77 | 54 | 59 | 53 | 65 | 53 | 44 | 65 | 46 | 62 | 62 | 78 | 20 | 57 | 23 | 925,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 60 | 72 | 72 | 84 | 56 | 71 | 46 | 59 | 44 | 39 | 66 | 41 | 59 | 59 | 79 | 20 | 55 | 22 | 925,000$/2yrs | |||
![]() | 24 | LWD | 85.47 | 81 | 77 | 65 | 73 | 94 | 70 | 71 | 77 | 25 | 59 | 54 | 74 | 57 | 97 | 99 | 55 | 61 | 72 | 29 | 1,260,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 77 | 94 | 65 | 77 | 73 | 79 | 60 | 25 | 46 | 40 | 75 | 38 | 58 | 58 | 80 | 22 | 64 | 21 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 46 | 40 | 95 | 81 | 66 | 68 | 87 | 54 | 25 | 53 | 46 | 59 | 48 | 63 | 63 | 81 | 20 | 61 | 24 | 750,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 84 | 78 | 81 | 72 | 79 | 95 | 94 | 94 | 95 | 72 | 69 | 72 | 72 | 73 | 70 | 82 | 25 | 1,100,000$/5yrs |
![]() | 0 | 99.00 | 70 | 73 | 66 | 73 | 70 | 93 | 93 | 94 | 93 | 72 | 74 | 88 | 91 | 44 | 78 | 81 | 27 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 57 | 69 | 68 | 72 | 57 | 67 | 62 | 72 | 65 | 63 | 65 | 67 | 67 | 72 | 20 | 65 | 25 | 925,000$/2yrs |
![]() | 0 | 100.00 | 44 | 40 | 50 | 71 | 50 | 44 | 45 | 49 | 45 | 45 | 45 | 46 | 46 | 78 | 20 | 48 | 23 | 925,000$/2yrs |
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 | Linden Vey | C/RW | 76 | 23 | 43 | 66 | 30 | 34 | 0 | 136 | 232 | 66 | 174 | 9.91% | 21 | 19.71 | 4 | 8 | 12 | 179 | 1 | 1 | 2 | 125 | 3 | 2 | 58.00% | 200 | 0 | 0 | 0 | 1 | 0.88 | 1 | 2 | ||
2 | Nils Hoglander | LW | 72 | 24 | 35 | 59 | 14 | 14 | 0 | 90 | 278 | 71 | 249 | 8.63% | 18 | 19.06 | 6 | 10 | 16 | 173 | 0 | 0 | 0 | 129 | 5 | 3 | 35.35% | 297 | 0 | 0 | 0 | 0 | 0.86 | 0 | 3 | ||
3 | Evan Rodrigues | C/RW | 74 | 19 | 33 | 52 | 15 | 6 | 0 | 29 | 189 | 45 | 130 | 10.05% | 23 | 16.15 | 2 | 6 | 8 | 99 | 0 | 0 | 0 | 83 | 5 | 1 | 56.00% | 825 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | ||
4 | Andy Andreoff | C/LW | 77 | 25 | 26 | 51 | 3 | 102 | 10 | 276 | 265 | 63 | 166 | 9.43% | 22 | 17.61 | 2 | 4 | 6 | 122 | 1 | 1 | 2 | 121 | 4 | 2 | 55.36% | 1718 | 0 | 0 | 1 | 0 | 0.75 | 0 | 1 | ||
5 | Oliver Kylington | D | 72 | 12 | 39 | 51 | 23 | 34 | 0 | 115 | 120 | 37 | 93 | 10.00% | 64 | 22.65 | 5 | 5 | 10 | 155 | 0 | 1 | 1 | 142 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
6 | Skyler McKenzie | LW | 77 | 23 | 27 | 50 | 15 | 4 | 0 | 21 | 291 | 83 | 198 | 7.90% | 16 | 18.35 | 2 | 7 | 9 | 150 | 0 | 0 | 0 | 87 | 7 | 1 | 47.13% | 244 | 0 | 0 | 0 | 0 | 0.71 | 0 | 2 | ||
7 | Brandon Sutter | C/RW | 65 | 16 | 31 | 47 | 9 | 4 | 0 | 40 | 181 | 51 | 116 | 8.84% | 16 | 20.32 | 1 | 6 | 7 | 121 | 1 | 0 | 1 | 99 | 3 | 2 | 59.72% | 1209 | 0 | 0 | 1 | 0 | 0.71 | 0 | 2 | ||
8 | Ondrej Kase | LW/RW | 77 | 21 | 25 | 46 | 3 | 2 | 0 | 16 | 223 | 64 | 167 | 9.42% | 15 | 16.88 | 2 | 1 | 3 | 94 | 0 | 0 | 0 | 96 | 3 | 2 | 31.15% | 459 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
9 | Josh Archibald | LW/RW | 74 | 24 | 17 | 41 | 15 | 4 | 0 | 28 | 190 | 68 | 133 | 12.63% | 12 | 15.61 | 1 | 3 | 4 | 51 | 0 | 0 | 0 | 15 | 5 | 2 | 27.27% | 88 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
10 | MacKenze Stewart | LW/D | 69 | 8 | 27 | 35 | 28 | 52 | 0 | 165 | 79 | 26 | 54 | 10.13% | 95 | 22.53 | 4 | 5 | 9 | 151 | 0 | 2 | 2 | 144 | 2 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.45 | 2 | 4 | ||
11 | Sean Malone | C | 77 | 14 | 20 | 34 | -13 | 4 | 0 | 50 | 144 | 33 | 88 | 9.72% | 25 | 15.83 | 2 | 3 | 5 | 85 | 0 | 0 | 0 | 9 | 0 | 0 | 57.49% | 828 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
12 | Scott Perunovich | D | 77 | 2 | 29 | 31 | -10 | 18 | 0 | 56 | 62 | 18 | 24 | 3.23% | 71 | 17.11 | 1 | 0 | 1 | 50 | 0 | 0 | 0 | 40 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
13 | Mason Geertsen | D | 77 | 9 | 17 | 26 | 17 | 74 | 10 | 224 | 70 | 29 | 43 | 12.86% | 86 | 21.53 | 4 | 4 | 8 | 182 | 0 | 0 | 0 | 171 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
14 | Nick Moutrey | C | 75 | 6 | 18 | 24 | 9 | 59 | 5 | 138 | 88 | 23 | 69 | 6.82% | 8 | 9.30 | 0 | 3 | 3 | 31 | 0 | 0 | 0 | 16 | 1 | 0 | 57.44% | 874 | 0 | 0 | 0 | 0 | 0.69 | 0 | 1 | ||
15 | Alexander Alexeyev | D | 77 | 2 | 22 | 24 | 2 | 14 | 0 | 38 | 79 | 38 | 66 | 2.53% | 116 | 20.80 | 0 | 3 | 3 | 166 | 0 | 0 | 0 | 193 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
16 | Valtteri Puustinen | LW/RW | 72 | 9 | 12 | 21 | -6 | 0 | 0 | 0 | 116 | 29 | 86 | 7.76% | 8 | 13.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 51.39% | 72 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
17 | Will Borgen | D | 69 | 5 | 6 | 11 | -1 | 48 | 0 | 145 | 39 | 12 | 27 | 12.82% | 73 | 13.01 | 1 | 0 | 1 | 30 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
18 | German Rubtsov | C/LW | 76 | 3 | 7 | 10 | -6 | 4 | 0 | 8 | 50 | 23 | 42 | 6.00% | 1 | 5.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.97% | 39 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
19 | Vincent Iorio | D | 5 | 0 | 1 | 1 | 5 | 4 | 0 | 6 | 2 | 1 | 0 | 0.00% | 5 | 17.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
20 | Nolan Foote | LW | 27 | 0 | 1 | 1 | 1 | 2 | 0 | 4 | 1 | 2 | 5 | 0.00% | 1 | 1.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
21 | Olivier Nadeau | C/RW | 18 | 0 | 1 | 1 | -2 | 0 | 0 | 0 | 8 | 0 | 2 | 0.00% | 0 | 3.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
22 | Josiah Slavin | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1386 | 245 | 437 | 682 | 151 | 483 | 25 | 1585 | 2707 | 782 | 1932 | 9.05% | 696 | 16.46 | 37 | 68 | 105 | 1847 | 3 | 5 | 8 | 1557 | 45 | 15 | 53.61% | 6864 | 0 | 0 | 2 | 1 | 0.60 | 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 | Keith Petruzzelli | 64 | 64 | 37 | 18 | 7 | 0.919 | 2.63 | 7.8 | 3772 | 6 | 4 | 165 | 2033 | 0 | 2 | 1 | 0.571 | 14 | 64 | 13 | 7 | 3 | 6 | |
2 | Luke Opilka | 16 | 13 | 9 | 4 | 2 | 0.924 | 2.70 | 4.7 | 888 | 0 | 0 | 40 | 526 | 0 | 1 | 1 | 0.000 | 0 | 13 | 64 | 1 | 4 | 0 | |
Team Total or Average | 80 | 46 | 22 | 9 | 0.920 | 2.64 | 4661 | 6 | 4 | 205 | 2559 | 0 | 3 | 2 | 0.571 | 14 | 77 | 77 | 8 | 7 | 6 |
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
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Alexander Alexeyev | D | 25 | $863,333 | $825,000 | $825,000 | |||||
Andy Andreoff | C/LW | 33 | $1,265,000 | |||||||
Axel Rindell | D | 24 | $750,000 | |||||||
Brandon Sutter | C/RW | 35 | $1,100,000 | |||||||
Daniil Chechelov | G | 23 | $925,000 | $925,000 | ||||||
Evan Rodrigues | C/RW | 31 | $1,245,000 | |||||||
German Rubtsov | C/LW | 26 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | $700,000 | ||
Jackson Kunz | C | 22 | $925,000 | $925,000 | ||||||
Josh Archibald | LW/RW | 31 | $1,000,000 | $1,000,000 | ||||||
Josiah Slavin | LW | 25 | $925,000 | |||||||
Keith Petruzzelli | G | 25 | $1,100,000 | $1,100,000 | $1,100,000 | $1,100,000 | $1,100,000 | |||
Linden Vey | C/RW | 33 | $1,145,000 | |||||||
Luke Opilka | G | 27 | $750,000 | |||||||
MacKenze Stewart | LW/D | 29 | $1,260,000 | |||||||
Mason Geertsen | D | 29 | $700,000 | |||||||
Mitchell Gibson | G | 25 | $925,000 | $925,000 | ||||||
Nick Moutrey | C | 29 | $1,000,000 | |||||||
Nils Hoglander | LW | 23 | $1,800,000 | $1,800,000 | $1,800,000 | $1,800,000 | $1,800,000 | |||
Nolan Foote | LW | 23 | $863,333 | $863,333 | ||||||
Oliver Kylington | D | 27 | $716,000 | $716,000 | $716,000 | |||||
Olivier Nadeau | C/RW | 21 | $925,000 | |||||||
Ondrej Kase | LW/RW | 28 | $778,000 | |||||||
Scott Perunovich | D | 26 | $925,000 | |||||||
Sean Malone | C | 29 | $1,340,000 | |||||||
Skyler McKenzie | LW | 26 | $900,000 | $900,000 | $900,000 | |||||
Tyce Thompson | RW | 25 | $762,500 | $762,500 | ||||||
Valtteri Puustinen | LW/RW | 25 | $1,063,750 | $1,063,750 | $1,063,750 | |||||
Vincent Iorio | D | 21 | $925,000 | $925,000 | $925,000 | |||||
Will Borgen | D | 27 | $950,000 | $950,000 | $950,000 | |||||
William Lockwood | RW | 26 | $700,000 | $700,000 | ||||||
Zakhar Bardakov | C/RW | 23 | $925,000 | $925,000 |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 6 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 18 | 17 | 1 | 7 | 0.583 | 18 | 32 | 50 | 0 | 1 | 93 | 75 | 72 | 8 | 237 | 900 | 913 | 857 | 52 | 188 | 55 | 40 | 129 | 14 | 1 | 7.14% | 20 | 5 | 75.00% | 1 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 58.6% | 7.6% | 91.0% | 98.6 | Unlucky | |
2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 93 | 75 | 72 | 8 | 44 | 900 | 913 | 857 | 52 | 34 | 11 | 11 | 18 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 25.0% | 4.5% | 91.2% | 95.7 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 93 | 75 | 72 | 8 | 45 | 900 | 913 | 857 | 52 | 39 | 5 | 12 | 36 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 66.7% | 6.7% | 97.4% | 104.1 | DULL | |
4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 93 | 75 | 72 | 8 | 23 | 900 | 913 | 857 | 52 | 35 | 10 | 6 | 21 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 60.0% | 13.0% | 94.3% | 107.3 | LUCKY | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 93 | 75 | 72 | 8 | 32 | 900 | 913 | 857 | 52 | 41 | 15 | 8 | 18 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 50.0% | 18.8% | 82.9% | 101.7 | FUN | |
6 | 8 | 5 | 1 | 0 | 1 | 0 | 0 | 1 | 25 | 17 | 8 | 13 | 0.813 | 25 | 42 | 67 | 0 | 2 | 93 | 75 | 72 | 8 | 293 | 900 | 913 | 857 | 52 | 228 | 66 | 50 | 142 | 31 | 5 | 16.13% | 24 | 3 | 87.50% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 58.8% | 8.5% | 92.5% | 101.1 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 93 | 75 | 72 | 8 | 48 | 900 | 913 | 857 | 52 | 27 | 8 | 2 | 21 | 2 | 2 | 100.00% | 1 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 20.0% | 6.3% | 85.2% | 91.4 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 93 | 75 | 72 | 8 | 28 | 900 | 913 | 857 | 52 | 40 | 12 | 10 | 19 | 6 | 3 | 50.00% | 5 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 50.0% | 14.3% | 97.5% | 111.8 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 93 | 75 | 72 | 8 | 28 | 900 | 913 | 857 | 52 | 49 | 10 | 16 | 27 | 1 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 66.7% | 14.3% | 95.9% | 110.2 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 93 | 75 | 72 | 8 | 38 | 900 | 913 | 857 | 52 | 38 | 16 | 4 | 22 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 75.0% | 15.8% | 94.7% | 110.5 | LUCKY | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 18 | 29 | 0 | 0 | 93 | 75 | 72 | 8 | 80 | 900 | 913 | 857 | 52 | 58 | 12 | 6 | 48 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 56.3% | 13.8% | 87.9% | 101.7 | FUN | |
12 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 93 | 75 | 72 | 8 | 53 | 900 | 913 | 857 | 52 | 84 | 20 | 10 | 48 | 7 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 50.0% | 7.5% | 94.0% | 101.6 | DULL | |
13 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 20 | 22 | -2 | 6 | 0.500 | 20 | 34 | 54 | 0 | 0 | 93 | 75 | 72 | 8 | 243 | 900 | 913 | 857 | 52 | 208 | 68 | 51 | 136 | 10 | 4 | 40.00% | 17 | 4 | 76.47% | 1 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 47.1% | 8.2% | 89.4% | 97.7 | Unlucky | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 93 | 75 | 72 | 8 | 68 | 900 | 913 | 857 | 52 | 84 | 27 | 22 | 50 | 4 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 20.0% | 1.5% | 91.7% | 93.1 | DULL | |
15 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 8 | -2 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 93 | 75 | 72 | 8 | 72 | 900 | 913 | 857 | 52 | 60 | 13 | 12 | 42 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 38.5% | 8.3% | 86.7% | 95.0 | Unlucky | |
16 | 6 | 1 | 1 | 0 | 0 | 3 | 1 | 0 | 19 | 21 | -2 | 7 | 0.583 | 19 | 32 | 51 | 0 | 0 | 93 | 75 | 72 | 8 | 189 | 900 | 913 | 857 | 52 | 233 | 54 | 30 | 112 | 16 | 5 | 31.25% | 15 | 1 | 93.33% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 41.2% | 10.1% | 91.0% | 101.0 | FUN | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 93 | 75 | 72 | 8 | 66 | 900 | 913 | 857 | 52 | 60 | 16 | 10 | 28 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 63.6% | 12.1% | 91.7% | 103.8 | LUCKY | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 5 | 9 | 4 | 1.000 | 14 | 27 | 41 | 0 | 0 | 93 | 75 | 72 | 8 | 69 | 900 | 913 | 857 | 52 | 67 | 15 | 8 | 51 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 73.7% | 20.3% | 92.5% | 112.8 | LUCKY | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 93 | 75 | 72 | 8 | 41 | 900 | 913 | 857 | 52 | 30 | 8 | 6 | 21 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 60.0% | 9.8% | 90.0% | 99.8 | FUN | |
20 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 93 | 75 | 72 | 8 | 77 | 900 | 913 | 857 | 52 | 65 | 31 | 16 | 44 | 2 | 1 | 50.00% | 8 | 0 | 100.00% | 1 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 66.7% | 9.1% | 95.4% | 104.5 | LUCKY | |
21 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 6 | 0.600 | 11 | 18 | 29 | 1 | 1 | 93 | 75 | 72 | 8 | 174 | 900 | 913 | 857 | 52 | 167 | 44 | 23 | 105 | 12 | 2 | 16.67% | 9 | 1 | 88.89% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 42.9% | 6.3% | 92.2% | 98.5 | DULL | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 93 | 75 | 72 | 8 | 19 | 900 | 913 | 857 | 52 | 28 | 9 | 8 | 18 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 66.7% | 15.8% | 92.9% | 108.6 | LUCKY | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 93 | 75 | 72 | 8 | 30 | 900 | 913 | 857 | 52 | 24 | 8 | 4 | 18 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 75.0% | 10.0% | 95.8% | 105.8 | LUCKY | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 93 | 75 | 72 | 8 | 69 | 900 | 913 | 857 | 52 | 66 | 15 | 8 | 35 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 62.5% | 8.7% | 93.9% | 102.6 | DULL | |
25 | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 16 | 10 | 6 | 8 | 0.800 | 16 | 26 | 42 | 0 | 0 | 93 | 75 | 72 | 8 | 162 | 900 | 913 | 857 | 52 | 167 | 45 | 26 | 92 | 11 | 1 | 9.09% | 13 | 1 | 92.31% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 62.5% | 9.9% | 94.0% | 103.9 | LUCKY | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 93 | 75 | 72 | 8 | 60 | 900 | 913 | 857 | 52 | 51 | 10 | 12 | 36 | 8 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 30.8% | 6.7% | 82.4% | 89.0 | Unlucky | |
27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 93 | 75 | 72 | 8 | 25 | 900 | 913 | 857 | 52 | 33 | 5 | 8 | 22 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 75.0% | 12.0% | 97.0% | 109.0 | LUCKY | |
28 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 93 | 75 | 72 | 8 | 59 | 900 | 913 | 857 | 52 | 51 | 17 | 10 | 30 | 3 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 50.0% | 5.1% | 90.2% | 95.3 | Unlucky | |
29 | 5 | 2 | 1 | 0 | 0 | 1 | 0 | 1 | 16 | 17 | -1 | 6 | 0.600 | 16 | 30 | 46 | 0 | 0 | 93 | 75 | 72 | 8 | 186 | 900 | 913 | 857 | 52 | 164 | 39 | 31 | 95 | 14 | 2 | 14.29% | 13 | 3 | 76.92% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 50.0% | 8.6% | 89.6% | 98.2 | Unlucky | |
30 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 6 | 0.750 | 13 | 25 | 38 | 0 | 0 | 93 | 75 | 72 | 8 | 149 | 900 | 913 | 857 | 52 | 142 | 32 | 29 | 101 | 14 | 2 | 14.29% | 12 | 1 | 91.67% | 0 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 64.7% | 8.7% | 95.1% | 103.8 | DULL | |
_Vs Division | 40 | 11 | 11 | 0 | 3 | 5 | 1 | 1 | 127 | 111 | 16 | 36 | 0.450 | 127 | 221 | 348 | 0 | 3 | 93 | 75 | 72 | 8 | 1459 | 900 | 913 | 857 | 52 | 1330 | 359 | 257 | 807 | 110 | 20 | 18.18% | 114 | 18 | 84.21% | 2 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 53.5% | 8.7% | 91.7% | 100.4 | DULL | |
_Vs Conference | 49 | 24 | 15 | 0 | 3 | 5 | 1 | 1 | 155 | 144 | 11 | 62 | 0.633 | 155 | 272 | 427 | 2 | 2 | 93 | 75 | 72 | 8 | 1714 | 900 | 913 | 857 | 52 | 1661 | 440 | 291 | 1002 | 128 | 22 | 17.19% | 130 | 21 | 83.85% | 2 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 52.0% | 9.0% | 91.3% | 100.4 | LUCKY | |
_Since Last GM Reset | 77 | 40 | 22 | 0 | 5 | 5 | 1 | 4 | 246 | 211 | 35 | 101 | 0.656 | 246 | 437 | 683 | 2 | 4 | 93 | 75 | 72 | 8 | 2707 | 900 | 913 | 857 | 52 | 2561 | 696 | 489 | 1585 | 211 | 37 | 17.54% | 218 | 30 | 86.24% | 3 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 53.6% | 9.1% | 91.8% | 100.8 | LUCKY | |
Total | 77 | 40 | 22 | 0 | 5 | 5 | 1 | 4 | 246 | 211 | 35 | 101 | 0.656 | 246 | 437 | 683 | 2 | 4 | 93 | 75 | 72 | 8 | 2707 | 900 | 913 | 857 | 52 | 2561 | 696 | 489 | 1585 | 211 | 37 | 17.54% | 218 | 30 | 86.24% | 3 | 1582 | 2846 | 55.59% | 1468 | 2776 | 52.88% | 630 | 1161 | 54.26% | 1889 | 1329 | 1796 | 552 | 980 | 489 | 53.6% | 9.1% | 91.8% | 100.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2846 |
Neutral Zone Start | 1161 |
Defensive Zone Start | 2776 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3680 |
Faceoffs Lost | 3103 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.7 | 9.57 |
2nd Period | 23.5 | 20.31 |
3rd Period | 34.7 | 30.68 |
Overtime | 35.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 204 |
---|---|
PP Goal | 37 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 27 | 19 |
Lost | 10 | 12 |
Overtime Lost | 2 | 7 |
PP Attempt | 211 |
---|---|
PP Goal | 37 |
PK Attempt | 218 |
PK Goal Against | 30 |
Home | |
---|---|
Shots For | 35.2 |
Shots Against | 33.3 |
Goals For | 3.2 |
Goals Against | 2.7 |
Hits | 20.6 |
Shots Blocked | 9.0 |
Pim | 6.4 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$2,889,191 | $0 | $0 | $75,000,000 |
Arena | About us | |
---|---|---|
![]() | Name | SAP Center |
City | San Jose | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 3000 | |||
Ticket Price | $25 | $12 | $ | $ | $ |
Attendance | 189828 | 94452 | |||
Attendance PCT | 81.12% | 80.73% | 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 | 7289 - 80.99% | $180,896 | $7,054,949 | 9000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$2,889,191 | $2,902,886 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$2,750,622 | $0 | $2,750,622 | $0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$361,792 | 11 | $17,835 | $196,185 |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$196,185 | $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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