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Full Scoreboard »» |
Leigh Valley Phantoms 45-32-2, 92pts · 14th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 58 | LW | 100.00 | 75 | 43 | 74 | 79 | 72 | 71 | 84 | 80 | 44 | 81 | 78 | 66 | 25 | 85 | 86 | 50 | 79 | 72 | 28 | 1,700,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 65 | 76 | 84 | 87 | 80 | 92 | 77 | 74 | 70 | 73 | 75 | 72 | 64 | 64 | 80 | 66 | 72 | 24 | 1,100,000$/4yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 98 | 76 | 68 | 81 | 71 | 70 | 91 | 64 | 36 | 69 | 71 | 78 | 75 | 87 | 89 | 33 | 79 | 71 | 32 | 1,250,000$/2yrs | |||
![]() | 0 | RW | 96.00 | 54 | 40 | 91 | 81 | 73 | 69 | 75 | 78 | 25 | 71 | 76 | 68 | 72 | 87 | 90 | 72 | 79 | 70 | 27 | 700,000$/1yrs | |||
![]() | 57 | C/LW/RW | 100.00 | 44 | 36 | 97 | 89 | 63 | 76 | 80 | 77 | 64 | 72 | 72 | 72 | 69 | 64 | 64 | 80 | 66 | 69 | 24 | 1,200,000$/3yrs | |||
![]() | 12 | C/RW | 96.00 | 52 | 46 | 83 | 88 | 67 | 63 | 62 | 77 | 66 | 72 | 71 | 77 | 69 | 56 | 56 | 84 | 78 | 68 | 22 | 950,000$/6yrs | |||
![]() | 47 | LW | 100.00 | 49 | 43 | 85 | 82 | 64 | 81 | 95 | 73 | 64 | 64 | 68 | 66 | 71 | 50 | 50 | 90 | 79 | 66 | 20 | 925,000$/3yrs | |||
![]() | 0 | C | 100.00 | 47 | 41 | 92 | 81 | 65 | 80 | 95 | 72 | 71 | 62 | 68 | 65 | 71 | 54 | 54 | 90 | 79 | 66 | 20 | 925,000$/3yrs | |||
![]() | 0 | C | 98.00 | 70 | 63 | 70 | 76 | 79 | 72 | 68 | 71 | 67 | 60 | 57 | 63 | 62 | 99 | 96 | 64 | 79 | 66 | 27 | 900,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 67 | 51 | 72 | 67 | 84 | 64 | 68 | 70 | 25 | 59 | 59 | 63 | 63 | 99 | 99 | 1 | 79 | 65 | 35 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 53 | 83 | 73 | 88 | 60 | 64 | 67 | 79 | 62 | 60 | 69 | 25 | 74 | 76 | 69 | 79 | 65 | 26 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 50 | 36 | 97 | 73 | 57 | 62 | 74 | 65 | 65 | 63 | 62 | 63 | 66 | 99 | 99 | 3 | 35 | 64 | 36 | 815,000$/2yrs | |||
![]() | 93 | D | 99.00 | 54 | 20 | 99 | 77 | 66 | 76 | 80 | 80 | 25 | 75 | 72 | 76 | 60 | 99 | 99 | 36 | 79 | 72 | 31 | 700,000$/1yrs | |||
![]() | 0 | D | 99.00 | 58 | 54 | 75 | 80 | 74 | 70 | 71 | 76 | 25 | 72 | 67 | 80 | 70 | 54 | 54 | 90 | 79 | 68 | 21 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 55 | 50 | 72 | 77 | 68 | 75 | 94 | 62 | 25 | 71 | 41 | 72 | 43 | 50 | 50 | 90 | 35 | 65 | 20 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 53 | 48 | 82 | 78 | 69 | 77 | 95 | 64 | 25 | 67 | 49 | 71 | 51 | 54 | 54 | 90 | 35 | 65 | 20 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 54 | 52 | 86 | 82 | 78 | 68 | 95 | 48 | 25 | 48 | 39 | 66 | 41 | 61 | 61 | 79 | 14 | 63 | 23 | 825,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 94.00 | 89 | 88 | 52 | 88 | 77 | 79 | 95 | 73 | 67 | 64 | 72 | 78 | 69 | 68 | 68 | 78 | 79 | 72 | 25 | 700,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 54 | 34 | 92 | 84 | 80 | 57 | 71 | 60 | 25 | 58 | 59 | 60 | 66 | 96 | 91 | 66 | 15 | 64 | 26 | 1,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 62 | 33 | 77 | 69 | 70 | 65 | 67 | 68 | 64 | 59 | 58 | 62 | 63 | 99 | 98 | 50 | 19 | 64 | 30 | 760,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 23 | 93 | 74 | 68 | 70 | 50 | 72 | 77 | 61 | 60 | 64 | 68 | 91 | 82 | 45 | 20 | 64 | 30 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 66 | 91 | 69 | 68 | 59 | 59 | 62 | 50 | 59 | 64 | 65 | 65 | 51 | 51 | 73 | 19 | 60 | 24 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 51 | 46 | 91 | 87 | 68 | 65 | 95 | 52 | 25 | 51 | 44 | 60 | 45 | 61 | 61 | 78 | 17 | 59 | 24 | 850,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 44 | 35 | 91 | 89 | 58 | 66 | 68 | 56 | 55 | 52 | 53 | 60 | 57 | 61 | 61 | 75 | 20 | 59 | 23 | 700,000$/3yrs | |||
![]() | 0 | C | 100.00 | 80 | 74 | 93 | 71 | 63 | 64 | 68 | 50 | 25 | 46 | 39 | 64 | 37 | 55 | 55 | 63 | 17 | 55 | 26 | 1,000,000$/2yrs | |||
![]() | 0 | D | 78.30 | 69 | 41 | 77 | 67 | 70 | 65 | 72 | 71 | 25 | 65 | 58 | 68 | 56 | 99 | 98 | 48 | 78 | 68 | 31 | 700,000$/1yrs | |||
![]() | 3 | D | 98.44 | 53 | 40 | 96 | 72 | 77 | 68 | 73 | 61 | 25 | 55 | 50 | 73 | 58 | 88 | 90 | 60 | 69 | 66 | 29 | 700,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 80 | 100.00 | 81 | 77 | 78 | 74 | 78 | 94 | 92 | 94 | 94 | 78 | 73 | 70 | 70 | 75 | 76 | 81 | 25 | 2,250,250$/5yrs |
![]() | 49 | 100.00 | 72 | 74 | 73 | 71 | 72 | 76 | 73 | 75 | 74 | 74 | 69 | 98 | 99 | 33 | 75 | 75 | 30 | 700,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 35 | 100.00 | 52 | 62 | 56 | 77 | 61 | 67 | 68 | 67 | 56 | 48 | 49 | 55 | 55 | 80 | 19 | 61 | 24 | 700,000$/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 | Brandt Clarke | D | 79 | 17 | 52 | 69 | 8 | 72 | 0 | 197 | 147 | 54 | 98 | 11.56% | 120 | 23.10 | 6 | 16 | 22 | 175 | 0 | 1 | 1 | 152 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.76 | 1 | 1 | ||
2 | Matthew Wedman | C | 74 | 31 | 38 | 69 | 12 | 85 | 25 | 213 | 278 | 69 | 175 | 11.15% | 19 | 19.53 | 4 | 4 | 8 | 117 | 1 | 0 | 1 | 88 | 7 | 0 | 50.51% | 1564 | 0 | 0 | 0 | 1 | 0.95 | 1 | 1 | ||
3 | Viktor Antipin | D | 79 | 10 | 48 | 58 | 12 | 24 | 0 | 54 | 141 | 45 | 109 | 7.09% | 118 | 23.38 | 6 | 13 | 19 | 177 | 0 | 0 | 0 | 175 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 2 | 3 | ||
4 | Dmitri Zavgorodny | C/LW/RW | 66 | 25 | 29 | 54 | 8 | 4 | 0 | 22 | 239 | 65 | 171 | 10.46% | 10 | 17.56 | 5 | 6 | 11 | 108 | 0 | 0 | 0 | 67 | 7 | 1 | 45.97% | 533 | 0 | 0 | 0 | 1 | 0.93 | 0 | 1 | ||
5 | Brandon Tanev | C/LW/RW | 78 | 21 | 31 | 52 | 20 | 80 | 10 | 205 | 203 | 51 | 132 | 10.34% | 16 | 17.42 | 2 | 4 | 6 | 108 | 0 | 0 | 0 | 78 | 0 | 1 | 38.21% | 458 | 0 | 0 | 0 | 0 | 0.77 | 0 | 1 | ||
6 | Michael Bunting | LW | 73 | 29 | 23 | 52 | 10 | 14 | 0 | 98 | 212 | 47 | 142 | 13.68% | 12 | 18.86 | 3 | 4 | 7 | 150 | 0 | 0 | 0 | 83 | 5 | 2 | 39.93% | 551 | 0 | 0 | 1 | 1 | 0.76 | 2 | 3 | ||
7 | Egor Sokolov | LW/RW | 71 | 25 | 26 | 51 | 7 | 29 | 15 | 46 | 228 | 74 | 147 | 10.96% | 15 | 17.64 | 7 | 3 | 10 | 125 | 0 | 0 | 0 | 98 | 6 | 2 | 55.34% | 618 | 0 | 0 | 0 | 0 | 0.81 | 0 | 2 | ||
8 | Gavin Hayes | LW | 79 | 9 | 35 | 44 | 3 | 12 | 0 | 71 | 195 | 71 | 170 | 4.62% | 13 | 17.14 | 0 | 9 | 9 | 127 | 0 | 0 | 0 | 62 | 1 | 0 | 45.38% | 119 | 0 | 0 | 0 | 0 | 0.65 | 0 | 1 | ||
9 | Zach Senyshyn | RW | 72 | 16 | 25 | 41 | 9 | 0 | 0 | 14 | 194 | 55 | 154 | 8.25% | 19 | 16.63 | 2 | 4 | 6 | 107 | 0 | 0 | 0 | 57 | 7 | 0 | 35.59% | 222 | 0 | 0 | 0 | 0 | 0.68 | 0 | 1 | ||
10 | Luca Del Bel Belluz | C | 79 | 18 | 22 | 40 | 3 | 0 | 0 | 42 | 156 | 45 | 125 | 11.54% | 21 | 17.03 | 3 | 8 | 11 | 128 | 0 | 0 | 0 | 57 | 2 | 2 | 50.71% | 1483 | 0 | 0 | 0 | 1 | 0.59 | 1 | 2 | ||
11 | Josh Pillar | C/RW | 69 | 15 | 22 | 37 | 0 | 10 | 0 | 20 | 184 | 52 | 153 | 8.15% | 15 | 16.52 | 0 | 2 | 2 | 61 | 0 | 0 | 0 | 34 | 1 | 2 | 45.42% | 720 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | ||
12 | Andreas Borgman | D | 75 | 5 | 18 | 23 | -1 | 18 | 0 | 39 | 64 | 19 | 50 | 7.81% | 101 | 19.53 | 1 | 2 | 3 | 129 | 0 | 0 | 0 | 149 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
13 | Stuart Percy | D | 60 | 4 | 18 | 22 | 8 | 40 | 0 | 148 | 35 | 9 | 31 | 11.43% | 68 | 19.24 | 0 | 1 | 1 | 82 | 0 | 0 | 0 | 71 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
14 | Pavel Mintyukov | D | 38 | 2 | 13 | 15 | -3 | 16 | 0 | 45 | 23 | 9 | 12 | 8.70% | 48 | 17.83 | 1 | 0 | 1 | 35 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
15 | Adam Musil | C | 79 | 5 | 9 | 14 | -6 | 14 | 0 | 65 | 77 | 16 | 41 | 6.49% | 5 | 12.35 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 13 | 1 | 0 | 50.75% | 398 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
16 | Kevin Korchinski | D | 37 | 2 | 11 | 13 | 14 | 22 | 0 | 72 | 24 | 8 | 15 | 8.33% | 46 | 19.14 | 0 | 1 | 1 | 57 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
17 | Jasper Weatherby | C/LW | 79 | 4 | 4 | 8 | -3 | 8 | 0 | 52 | 50 | 12 | 47 | 8.00% | 11 | 8.35 | 1 | 0 | 1 | 14 | 0 | 0 | 0 | 5 | 2 | 1 | 38.71% | 62 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
18 | Brandon Mashinter | LW | 78 | 6 | 1 | 7 | -1 | 2 | 0 | 22 | 41 | 12 | 39 | 14.63% | 2 | 8.25 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 93 | 1 | 0 | 32.69% | 52 | 0 | 0 | 0 | 0 | 0.22 | 1 | 1 | ||
19 | Brian Gibbons | C/LW/RW | 44 | 1 | 1 | 2 | -8 | 0 | 0 | 8 | 22 | 3 | 11 | 4.55% | 2 | 5.51 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 6 | 0 | 0 | 29.41% | 17 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
20 | Jacob Leguerrier | D | 7 | 0 | 1 | 1 | -7 | 2 | 0 | 9 | 7 | 0 | 2 | 0.00% | 6 | 17.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
21 | Boris Katchouk | LW | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
22 | Steven Hodges | C | 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 | ||
23 | Blake Lizotte | C | 4 | 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 | ||
24 | Pavel Gogolev | LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.01 | 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 | 1338 | 245 | 427 | 672 | 85 | 452 | 50 | 1442 | 2520 | 716 | 1824 | 9.72% | 667 | 16.41 | 41 | 77 | 118 | 1758 | 1 | 1 | 2 | 1379 | 42 | 12 | 47.55% | 6797 | 0 | 0 | 2 | 4 | 0.61 | 8 | 17 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Olle Eriksson Ek | 69 | 69 | 41 | 25 | 2 | 0.922 | 2.59 | 15.5 | 4035 | 8 | 4 | 174 | 2229 | 0 | 3 | 2 | 0.833 | 6 | 69 | 5 | 11 | 6 | 1 | |
2 | Adam Carlson | 14 | 10 | 4 | 7 | 0 | 0.890 | 3.65 | -8.9 | 641 | 0 | 0 | 39 | 354 | 0 | 0 | 0 | 0.636 | 11 | 10 | 69 | 0 | 1 | 1 | |
3 | Jakub Skarek | 3 | 0 | 0 | 0 | 0 | 0.946 | 1.94 | 1.8 | 93 | 0 | 0 | 3 | 56 | 0 | 0 | 0 | 0.000 | 0 | 0 | 5 | 0 | 0 | 0 | |
Team Total or Average | 86 | 45 | 32 | 2 | 0.918 | 2.72 | 4771 | 8 | 4 | 216 | 2639 | 0 | 3 | 2 | 0.706 | 17 | 79 | 79 | 11 | 7 | 2 |
Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|
Adam Carlson | G | 30 | $700,000 | |||||||
Adam Musil | C | 27 | $900,000 | $900,000 | ||||||
Andreas Borgman | D | 29 | $700,000 | |||||||
Antti Suomela | C | 30 | $800,000 | |||||||
Blake Lizotte | C | 26 | $1,000,000 | $1,000,000 | ||||||
Bobby Brink | RW | 23 | $700,000 | $700,000 | $700,000 | |||||
Boris Katchouk | LW | 26 | $1,000,000 | $1,000,000 | $1,000,000 | |||||
Brandon Mashinter | LW | 35 | $750,000 | |||||||
Brandon Tanev | C/LW/RW | 32 | $1,250,000 | $1,250,000 | ||||||
Brandt Clarke | D | 21 | $925,000 | $925,000 | $925,000 | |||||
Brian Gibbons | C/LW/RW | 36 | $815,000 | $815,000 | ||||||
Dmitri Zavgorodny | C/LW/RW | 24 | $1,200,000 | $1,200,000 | $1,200,000 | |||||
Egor Sokolov | LW/RW | 24 | $1,100,000 | $1,100,000 | $1,100,000 | $1,100,000 | ||||
Gavin Hayes | LW | 20 | $925,000 | $925,000 | $925,000 | |||||
Jacob Leguerrier | D | 23 | $825,000 | $825,000 | $825,000 | |||||
Jakub Skarek | G | 24 | $700,000 | |||||||
Jasper Weatherby | C/LW | 26 | $750,000 | |||||||
Josh Pillar | C/RW | 22 | $950,000 | $950,000 | $950,000 | $950,000 | $950,000 | $950,000 | ||
Keean Washkurak | C/LW | 24 | $850,000 | $850,000 | ||||||
Kevin Korchinski | D | 20 | $925,000 | $925,000 | $925,000 | |||||
Luca Del Bel Belluz | C | 20 | $925,000 | $925,000 | $925,000 | |||||
Matthew Wedman | C | 25 | $700,000 | $700,000 | ||||||
Michael Bunting | LW | 28 | $1,700,000 | $1,700,000 | $1,700,000 | $1,700,000 | $1,700,000 | $1,700,000 | ||
Olle Eriksson Ek | G | 25 | $2,250,250 | $2,250,250 | $2,250,250 | $2,250,250 | $2,250,250 | |||
Pavel Gogolev | LW/RW | 24 | $1,000,000 | $1,000,000 | ||||||
Pavel Mintyukov | D | 20 | $925,000 | $925,000 | $925,000 | |||||
Steven Hodges | C | 30 | $760,000 | |||||||
Stuart Percy | D | 31 | $700,000 | |||||||
Viktor Antipin | D | 31 | $700,000 | |||||||
Zach Senyshyn | RW | 27 | $700,000 |
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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 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 111 | 70 | 62 | 14 | 127 | 970 | 838 | 735 | 44 | 103 | 30 | 12 | 55 | 11 | 1 | 9.09% | 5 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 52.9% | 7.9% | 92.2% | 100.1 | DULL | |
2 | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 11 | 14 | -3 | 2 | 0.250 | 11 | 18 | 29 | 0 | 0 | 111 | 70 | 62 | 14 | 88 | 970 | 838 | 735 | 44 | 147 | 43 | 36 | 91 | 3 | 0 | 0.00% | 18 | 2 | 88.89% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 47.8% | 12.5% | 90.5% | 103.0 | FUN | |
3 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 111 | 70 | 62 | 14 | 73 | 970 | 838 | 735 | 44 | 84 | 19 | 11 | 46 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 63.6% | 11.0% | 94.0% | 105.0 | LUCKY | |
4 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 4 | 0.333 | 16 | 29 | 45 | 0 | 1 | 111 | 70 | 62 | 14 | 148 | 970 | 838 | 735 | 44 | 200 | 68 | 34 | 113 | 20 | 2 | 10.00% | 17 | 2 | 88.24% | 1 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 41.2% | 10.8% | 89.0% | 99.8 | FUN | |
5 | 5 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 20 | 10 | 10 | 8 | 0.800 | 20 | 35 | 55 | 0 | 1 | 111 | 70 | 62 | 14 | 169 | 970 | 838 | 735 | 44 | 161 | 42 | 28 | 80 | 14 | 4 | 28.57% | 11 | 2 | 81.82% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 66.7% | 11.8% | 93.8% | 105.6 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 111 | 70 | 62 | 14 | 34 | 970 | 838 | 735 | 44 | 28 | 6 | 12 | 27 | 2 | 1 | 50.00% | 6 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 66.7% | 8.8% | 96.4% | 105.3 | DULL | |
7 | 7 | 4 | 2 | 0 | 1 | 0 | 0 | 0 | 25 | 19 | 6 | 10 | 0.714 | 25 | 46 | 71 | 0 | 0 | 111 | 70 | 62 | 14 | 220 | 970 | 838 | 735 | 44 | 246 | 57 | 61 | 147 | 10 | 3 | 30.00% | 22 | 3 | 86.36% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 57.9% | 11.4% | 92.3% | 103.6 | LUCKY | |
8 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 111 | 70 | 62 | 14 | 101 | 970 | 838 | 735 | 44 | 87 | 29 | 12 | 52 | 10 | 2 | 20.00% | 6 | 1 | 83.33% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 46.7% | 8.9% | 89.7% | 98.6 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 111 | 70 | 62 | 14 | 78 | 970 | 838 | 735 | 44 | 59 | 19 | 13 | 42 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 75.0% | 3.8% | 96.6% | 100.5 | DULL | |
10 | 8 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 27 | 17 | 10 | 12 | 0.750 | 27 | 51 | 78 | 0 | 0 | 111 | 70 | 62 | 14 | 268 | 970 | 838 | 735 | 44 | 256 | 72 | 43 | 154 | 25 | 3 | 12.00% | 18 | 3 | 83.33% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 63.2% | 10.1% | 93.4% | 103.4 | LUCKY | |
11 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 7 | 7 | 6 | 1.000 | 14 | 26 | 40 | 0 | 0 | 111 | 70 | 62 | 14 | 98 | 970 | 838 | 735 | 44 | 90 | 23 | 6 | 33 | 17 | 4 | 23.53% | 3 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 58.8% | 14.3% | 92.2% | 106.5 | LUCKY | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 111 | 70 | 62 | 14 | 33 | 970 | 838 | 735 | 44 | 36 | 11 | 12 | 20 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 80.0% | 15.2% | 97.2% | 112.4 | LUCKY | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 2 | 1.000 | 5 | 8 | 13 | 0 | 1 | 111 | 70 | 62 | 14 | 32 | 970 | 838 | 735 | 44 | 27 | 9 | 2 | 26 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 100.0% | 15.6% | 100.0% | 115.6 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 111 | 70 | 62 | 14 | 25 | 970 | 838 | 735 | 44 | 40 | 10 | 10 | 27 | 2 | 0 | 0.00% | 5 | 4 | 20.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 100.0% | 8.0% | 90.0% | 98.0 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 111 | 70 | 62 | 14 | 61 | 970 | 838 | 735 | 44 | 69 | 10 | 4 | 39 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 50.0% | 8.2% | 92.8% | 101.0 | DULL | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 111 | 70 | 62 | 14 | 39 | 970 | 838 | 735 | 44 | 34 | 9 | 0 | 16 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 50.0% | 12.8% | 91.2% | 104.0 | LUCKY | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 111 | 70 | 62 | 14 | 24 | 970 | 838 | 735 | 44 | 25 | 8 | 6 | 23 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 25.0% | 4.2% | 88.0% | 92.2 | Unlucky | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 111 | 70 | 62 | 14 | 43 | 970 | 838 | 735 | 44 | 24 | 13 | 7 | 24 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 75.0% | 9.3% | 95.8% | 105.1 | LUCKY | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 111 | 70 | 62 | 14 | 87 | 970 | 838 | 735 | 44 | 61 | 26 | 10 | 44 | 5 | 2 | 40.00% | 5 | 2 | 60.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 50.0% | 5.7% | 91.8% | 97.6 | DULL | |
20 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 111 | 70 | 62 | 14 | 71 | 970 | 838 | 735 | 44 | 65 | 29 | 11 | 46 | 7 | 3 | 42.86% | 1 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 27.3% | 8.5% | 87.7% | 96.1 | Unlucky | |
21 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 111 | 70 | 62 | 14 | 29 | 970 | 838 | 735 | 44 | 44 | 13 | 8 | 16 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 50.0% | 10.3% | 90.9% | 101.3 | FUN | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 1 | 0 | 111 | 70 | 62 | 14 | 54 | 970 | 838 | 735 | 44 | 71 | 21 | 14 | 42 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 44.4% | 9.3% | 91.5% | 100.8 | LUCKY | |
23 | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 17 | 21 | -4 | 5 | 0.417 | 17 | 26 | 43 | 0 | 0 | 111 | 70 | 62 | 14 | 218 | 970 | 838 | 735 | 44 | 189 | 62 | 44 | 134 | 18 | 3 | 16.67% | 17 | 2 | 88.24% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 42.4% | 7.8% | 88.9% | 96.7 | Unlucky | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 111 | 70 | 62 | 14 | 19 | 970 | 838 | 735 | 44 | 46 | 16 | 12 | 22 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 80.0% | 21.1% | 95.7% | 116.7 | LUCKY | |
25 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 111 | 70 | 62 | 14 | 35 | 970 | 838 | 735 | 44 | 26 | 9 | 2 | 22 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 50.0% | 5.7% | 96.2% | 101.9 | DULL | |
26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 111 | 70 | 62 | 14 | 37 | 970 | 838 | 735 | 44 | 31 | 8 | 8 | 20 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 42.9% | 8.1% | 87.1% | 95.2 | Unlucky | |
27 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 111 | 70 | 62 | 14 | 56 | 970 | 838 | 735 | 44 | 60 | 23 | 11 | 30 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 70.0% | 14.3% | 95.0% | 109.3 | LUCKY | |
28 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 22 | -9 | 4 | 0.333 | 13 | 23 | 36 | 1 | 1 | 111 | 70 | 62 | 14 | 198 | 970 | 838 | 735 | 44 | 200 | 49 | 40 | 102 | 19 | 4 | 21.05% | 19 | 5 | 73.68% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 34.6% | 6.6% | 89.0% | 95.6 | Unlucky | |
29 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 111 | 70 | 62 | 14 | 34 | 970 | 838 | 735 | 44 | 44 | 7 | 25 | 23 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 75.0% | 8.8% | 95.5% | 104.3 | DULL | |
30 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 111 | 70 | 62 | 14 | 32 | 970 | 838 | 735 | 44 | 41 | 13 | 2 | 21 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 33.3% | 6.3% | 90.2% | 96.5 | Unlucky | |
31 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 1.000 | 8 | 16 | 24 | 0 | 0 | 111 | 70 | 62 | 14 | 39 | 970 | 838 | 735 | 44 | 47 | 16 | 6 | 21 | 2 | 2 | 100.00% | 2 | 0 | 100.00% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 54.5% | 20.5% | 89.4% | 109.9 | FUN | |
_Vs Division | 17 | 17 | 14 | 0 | 1 | 0 | 0 | 0 | 49 | 43 | 6 | 36 | 1.059 | 49 | 89 | 138 | 1 | 0 | 111 | 70 | 62 | 14 | 581 | 970 | 838 | 735 | 44 | 556 | 176 | 86 | 341 | 47 | 10 | 21.28% | 32 | 6 | 81.25% | 0 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 51.3% | 8.4% | 92.3% | 100.7 | DULL | |
_Vs Conference | 52 | 25 | 21 | 0 | 4 | 0 | 2 | 0 | 163 | 144 | 19 | 62 | 0.596 | 163 | 295 | 458 | 2 | 3 | 111 | 70 | 62 | 14 | 1644 | 970 | 838 | 735 | 44 | 1754 | 500 | 334 | 1024 | 132 | 27 | 20.45% | 139 | 22 | 84.17% | 1 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 52.7% | 9.9% | 91.8% | 101.7 | LUCKY | |
_Since Last GM Reset | 79 | 36 | 32 | 0 | 6 | 2 | 3 | 0 | 252 | 218 | 34 | 92 | 0.582 | 252 | 448 | 700 | 2 | 4 | 111 | 70 | 62 | 14 | 2570 | 970 | 838 | 735 | 44 | 2641 | 770 | 502 | 1558 | 211 | 42 | 19.91% | 206 | 32 | 84.47% | 1 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 53.0% | 9.8% | 91.7% | 101.6 | LUCKY | |
Total | 79 | 36 | 32 | 0 | 6 | 2 | 3 | 0 | 252 | 218 | 34 | 92 | 0.582 | 252 | 448 | 700 | 2 | 4 | 111 | 70 | 62 | 14 | 2570 | 970 | 838 | 735 | 44 | 2641 | 770 | 502 | 1558 | 211 | 42 | 19.91% | 206 | 32 | 84.47% | 1 | 1352 | 2765 | 48.90% | 1311 | 2784 | 47.09% | 569 | 1195 | 47.62% | 1847 | 1278 | 1916 | 566 | 1012 | 501 | 53.0% | 9.8% | 91.7% | 101.6 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2765 |
Neutral Zone Start | 1195 |
Defensive Zone Start | 2784 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3232 |
Faceoffs Lost | 3512 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.3 | 9.57 |
2nd Period | 22.9 | 20.31 |
3rd Period | 32.2 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 207 |
---|---|
PP Goal | 42 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 24 | 21 |
Lost | 14 | 18 |
Overtime Lost | 1 | 1 |
PP Attempt | 211 |
---|---|
PP Goal | 42 |
PK Attempt | 206 |
PK Goal Against | 32 |
Home | |
---|---|
Shots For | 32.5 |
Shots Against | 33.4 |
Goals For | 3.2 |
Goals Against | 2.8 |
Hits | 19.7 |
Shots Blocked | 9.7 |
Pim | 6.4 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$2,672,525 | $0 | $0 | $75,000,000 |
Arena | About us | |
---|---|---|
![]() | Name | Wells Fargo Center |
City | Leigh Valley | |
Capacity | 9000 | |
Season Ticket Holders | 30% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 3000 | |||
Ticket Price | $25 | $12 | $ | $ | $ |
Attendance | 187520 | 93029 | |||
Attendance PCT | 80.14% | 79.51% | 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 | 7194 - 79.93% | $178,595 | $6,965,218 | 9000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$2,672,525 | $2,672,525 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$2,522,896 | $0 | $2,522,896 | $0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$357,191 | 11 | $16,497 | $181,467 |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$181,467 | $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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