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Full Scoreboard »» |
Lehigh Valley Phantoms 30-16-3, 63pts · 4th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 16 | C/LW | 100.00 | 80 | 48 | 79 | 61 | 86 | 78 | 73 | 59 | 77 | 61 | 62 | 79 | 61 | 75 | 73 | 0 | 77 | 75 | 30 | 775,000$/2yrs | |||
![]() | 36 | C | 99.00 | 71 | 38 | 73 | 60 | 60 | 73 | 90 | 72 | 76 | 76 | 51 | 71 | 63 | 77 | 74 | 0 | 69 | 75 | 32 | 800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 41 | 66 | 59 | 82 | 72 | 77 | 67 | 44 | 60 | 65 | 70 | 63 | 75 | 72 | 0 | 62 | 74 | 31 | 850,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 84 | 51 | 67 | 55 | 75 | 75 | 69 | 60 | 78 | 59 | 62 | 59 | 61 | 70 | 66 | 0 | 75 | 71 | 27 | 800,000$/1yrs | |||
![]() | 18 | C/LW | 100.00 | 74 | 60 | 52 | 59 | 70 | 73 | 77 | 60 | 62 | 61 | 61 | 65 | 60 | 68 | 63 | 0 | 75 | 71 | 26 | 1,000,000$/2yrs | |||
![]() | 0 | LW | 99.00 | 76 | 41 | 64 | 57 | 82 | 68 | 90 | 64 | 46 | 57 | 61 | 68 | 59 | 70 | 66 | 0 | 72 | 71 | 28 | 800,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 60 | 38 | 90 | 66 | 71 | 65 | 60 | 66 | 67 | 61 | 56 | 60 | 67 | 63 | 62 | 0 | 69 | 71 | 25 | 850,000$/2yrs | |||
![]() | 0 | C | 100.00 | 61 | 39 | 85 | 66 | 73 | 72 | 91 | 64 | 70 | 59 | 56 | 64 | 66 | 61 | 60 | 0 | 72 | 71 | 23 | 875,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 67 | 40 | 79 | 54 | 86 | 66 | 76 | 65 | 72 | 53 | 58 | 68 | 56 | 70 | 68 | 0 | 68 | 70 | 28 | 775,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 42 | 39 | 79 | 67 | 76 | 72 | 60 | 64 | 36 | 56 | 60 | 64 | 66 | 60 | 58 | 0 | 60 | 70 | 24 | 859,167$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 33 | 95 | 55 | 81 | 70 | 76 | 56 | 76 | 61 | 54 | 61 | 55 | 75 | 75 | 0 | 61 | 69 | 30 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 77 | 40 | 67 | 63 | 73 | 67 | 60 | 60 | 37 | 51 | 55 | 61 | 61 | 56 | 53 | 0 | 37 | 67 | 20 | 845,000$/2yrs | |||
![]() | 2 | D | 99.00 | 96 | 54 | 67 | 55 | 88 | 82 | 86 | 59 | 30 | 62 | 56 | 72 | 57 | 84 | 80 | 0 | 73 | 76 | 35 | 1,250,000$/1yrs | |||
![]() | 0 | D | 98.00 | 71 | 33 | 84 | 59 | 80 | 88 | 79 | 62 | 30 | 67 | 52 | 69 | 57 | 76 | 74 | 0 | 75 | 76 | 30 | 1,250,000$/2yrs | |||
![]() | 0 | D | 99.00 | 81 | 42 | 57 | 56 | 80 | 68 | 77 | 52 | 30 | 62 | 48 | 75 | 55 | 80 | 76 | 0 | 65 | 73 | 34 | 775,000$/2yrs | |||
![]() | 47 | D | 100.00 | 72 | 40 | 72 | 55 | 70 | 68 | 88 | 53 | 30 | 62 | 54 | 71 | 58 | 73 | 71 | 0 | 59 | 72 | 30 | 775,000$/2yrs | |||
![]() | 51 | D | 99.00 | 75 | 40 | 67 | 57 | 76 | 69 | 81 | 53 | 30 | 63 | 51 | 70 | 57 | 74 | 70 | 0 | 62 | 72 | 31 | 850,000$/2yrs | |||
![]() | 65 | D | 100.00 | 99 | 46 | 50 | 51 | 77 | 62 | 82 | 64 | 43 | 50 | 52 | 67 | 51 | 66 | 61 | 0 | 55 | 69 | 26 | 800,000$/3yrs | |||
![]() | 18 | D | 100.00 | 67 | 39 | 79 | 47 | 76 | 62 | 83 | 47 | 30 | 53 | 51 | 64 | 52 | 61 | 59 | 0 | 52 | 65 | 23 | 900,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 64 | 39 | 83 | 65 | 74 | 69 | 60 | 62 | 67 | 54 | 58 | 61 | 64 | 58 | 56 | 0 | 40 | 69 | 22 | 861,667$/1yrs | |||
![]() | 0 | C | 100.00 | 99 | 47 | 50 | 51 | 99 | 61 | 86 | 62 | 65 | 51 | 50 | 65 | 51 | 62 | 57 | 0 | 22 | 67 | 24 | 800,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 66 | 38 | 84 | 56 | 74 | 65 | 76 | 60 | 63 | 53 | 57 | 62 | 56 | 61 | 59 | 0 | 19 | 67 | 23 | 800,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 39 | 88 | 52 | 78 | 61 | 67 | 61 | 39 | 51 | 51 | 64 | 51 | 61 | 59 | 0 | 19 | 65 | 24 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 37 | 82 | 53 | 70 | 62 | 72 | 58 | 57 | 48 | 52 | 62 | 50 | 58 | 56 | 0 | 19 | 64 | 22 | 883,333$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 38 | 85 | 52 | 72 | 59 | 72 | 59 | 69 | 48 | 51 | 62 | 50 | 57 | 56 | 0 | 20 | 64 | 21 | 870,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 39 | 88 | 52 | 76 | 53 | 60 | 48 | 65 | 42 | 42 | 60 | 50 | 59 | 58 | 0 | 19 | 59 | 23 | 859,167$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 38 | 84 | 50 | 74 | 63 | 82 | 48 | 30 | 56 | 49 | 66 | 52 | 66 | 65 | 0 | 20 | 67 | 26 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 41 | 68 | 58 | 82 | 66 | 60 | 55 | 30 | 52 | 50 | 63 | 59 | 59 | 56 | 0 | 19 | 67 | 22 | 825,000$/2yrs | |||
![]() | 31 | D | 100.00 | 63 | 39 | 87 | 43 | 78 | 61 | 71 | 42 | 30 | 48 | 45 | 73 | 46 | 76 | 75 | 0 | 19 | 64 | 33 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 39 | 80 | 46 | 70 | 61 | 89 | 45 | 30 | 51 | 49 | 66 | 50 | 64 | 62 | 0 | 20 | 64 | 25 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 66 | 39 | 81 | 46 | 77 | 59 | 86 | 44 | 30 | 51 | 46 | 65 | 48 | 62 | 60 | 0 | 19 | 63 | 24 | 800,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 35 | 98.00 | 73 | 85 | 71 | 83 | 70 | 76 | 77 | 72 | 76 | 72 | 75 | 78 | 80 | 0 | 54 | 80 | 32 | 850,000$/2yrs |
![]() | 0 | 100.00 | 74 | 77 | 71 | 79 | 71 | 75 | 75 | 74 | 75 | 74 | 75 | 65 | 66 | 0 | 63 | 78 | 25 | 800,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 73 | 69 | 71 | 85 | 67 | 77 | 75 | 73 | 77 | 75 | 75 | 71 | 71 | 0 | 33 | 78 | 28 | 850,000$/3yrs |
![]() | 0 | 100.00 | 66 | 71 | 72 | 70 | 65 | 64 | 66 | 65 | 64 | 66 | 65 | 62 | 67 | 0 | 22 | 71 | 24 | |
![]() | 0 | 100.00 | 60 | 62 | 66 | 84 | 59 | 60 | 60 | 60 | 60 | 63 | 60 | 60 | 63 | 0 | 20 | 67 | 22 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 75 | 82 | 86 | 78 | 99 | 90 | 87 | CAN | 64 | 4 | 1,000,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mason Shaw | C/LW | 49 | 17 | 17 | 34 | 8 | 46 | 0 | 102 | 128 | 35 | 96 | 13.28% | 5 | 16.61 | 5 | 5 | 10 | 115 | 0 | 1 | 1 | 47 | 0 | 4 | 47.81% | 228 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | ||
2 | Jujhar Khaira | C/LW | 31 | 10 | 19 | 29 | 5 | 12 | 0 | 38 | 135 | 39 | 104 | 7.41% | 14 | 20.07 | 3 | 6 | 9 | 71 | 0 | 0 | 0 | 145 | 5 | 0 | 62.84% | 810 | 0 | 0 | 0 | 0 | 0.93 | 0 | 2 | ||
3 | T.J. Tynan | C | 47 | 12 | 16 | 28 | 6 | 6 | 0 | 33 | 141 | 30 | 87 | 8.51% | 6 | 19.88 | 3 | 6 | 9 | 135 | 0 | 1 | 1 | 121 | 3 | 1 | 54.92% | 1127 | 0 | 0 | 0 | 0 | 0.60 | 1 | 2 | ||
4 | Matt Donovan | D | 43 | 0 | 27 | 27 | 10 | 44 | 0 | 80 | 35 | 12 | 44 | 0.00% | 56 | 20.28 | 0 | 6 | 6 | 91 | 0 | 0 | 0 | 108 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
5 | Martin Frk | LW/RW | 47 | 10 | 15 | 25 | 6 | 34 | 0 | 76 | 154 | 42 | 116 | 6.49% | 8 | 18.79 | 1 | 0 | 1 | 38 | 0 | 0 | 0 | 185 | 1 | 1 | 37.63% | 93 | 0 | 0 | 0 | 0 | 0.57 | 0 | 2 | ||
6 | Matthew Benning | D | 48 | 4 | 21 | 25 | 10 | 4 | 0 | 29 | 66 | 31 | 44 | 6.06% | 53 | 24.26 | 2 | 5 | 7 | 144 | 1 | 1 | 2 | 188 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
7 | Nicholas Abruzzese | C/LW | 49 | 7 | 17 | 24 | 1 | 14 | 0 | 29 | 101 | 21 | 83 | 6.93% | 4 | 14.09 | 3 | 6 | 9 | 84 | 0 | 0 | 0 | 6 | 4 | 0 | 43.18% | 88 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
8 | Lane Pederson | C/RW | 49 | 8 | 13 | 21 | 4 | 44 | 0 | 128 | 112 | 33 | 82 | 7.14% | 3 | 17.49 | 4 | 4 | 8 | 143 | 0 | 0 | 0 | 48 | 2 | 0 | 60.09% | 431 | 0 | 0 | 0 | 0 | 0.49 | 1 | 1 | ||
9 | Jeff Malott | LW | 49 | 9 | 10 | 19 | 2 | 26 | 0 | 87 | 126 | 35 | 94 | 7.14% | 5 | 17.32 | 4 | 5 | 9 | 127 | 0 | 0 | 0 | 68 | 2 | 0 | 41.38% | 87 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
10 | Jacob Quillan | C | 49 | 8 | 9 | 17 | 1 | 18 | 0 | 51 | 93 | 19 | 86 | 8.60% | 8 | 13.78 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 2 | 0 | 54.37% | 743 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
11 | Derrick Pouliot | D | 49 | 3 | 13 | 16 | -2 | 32 | 0 | 106 | 46 | 14 | 29 | 6.52% | 52 | 20.22 | 1 | 5 | 6 | 98 | 0 | 0 | 0 | 128 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
12 | Brendan Perlini | LW | 49 | 11 | 4 | 15 | 6 | 20 | 0 | 61 | 95 | 32 | 65 | 11.58% | 6 | 12.02 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 40 | 1 | 0 | 62.86% | 35 | 0 | 0 | 0 | 0 | 0.51 | 0 | 1 | ||
13 | Bennett MacArthur | LW | 43 | 6 | 9 | 15 | 4 | 0 | 0 | 5 | 73 | 23 | 51 | 8.22% | 3 | 12.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 48.65% | 74 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
14 | Luke Schenn | D | 27 | 2 | 12 | 14 | 0 | 36 | 0 | 93 | 39 | 17 | 37 | 5.13% | 30 | 23.71 | 1 | 4 | 5 | 78 | 0 | 1 | 1 | 91 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
15 | Trevor Carrick | D | 43 | 2 | 6 | 8 | 2 | 20 | 0 | 48 | 42 | 14 | 24 | 4.76% | 42 | 18.80 | 0 | 2 | 2 | 97 | 0 | 0 | 0 | 117 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
16 | Devin Shore | C | 46 | 4 | 4 | 8 | 7 | 4 | 0 | 8 | 29 | 13 | 20 | 13.79% | 1 | 6.44 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 6 | 0 | 0 | 54.18% | 323 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
17 | Hunter Drew | D | 33 | 3 | 4 | 7 | 6 | 60 | 0 | 113 | 18 | 9 | 18 | 16.67% | 31 | 16.22 | 1 | 0 | 1 | 13 | 0 | 0 | 0 | 47 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
18 | Vladislav Kolyachonok | D | 35 | 1 | 5 | 6 | 7 | 8 | 0 | 17 | 9 | 10 | 9 | 11.11% | 21 | 14.90 | 1 | 1 | 2 | 8 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
19 | Brady Stonehouse | RW | 27 | 4 | 2 | 6 | 6 | 23 | 5 | 44 | 45 | 14 | 28 | 8.89% | 3 | 11.13 | 2 | 0 | 2 | 25 | 0 | 0 | 0 | 0 | 1 | 0 | 31.82% | 22 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
20 | Robin Salo | D | 21 | 1 | 3 | 4 | 6 | 4 | 0 | 9 | 9 | 1 | 5 | 11.11% | 14 | 14.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
21 | Nolan Burke | C | 30 | 0 | 1 | 1 | 1 | 2 | 0 | 1 | 8 | 2 | 5 | 0.00% | 2 | 2.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.11% | 57 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
22 | Curtis Douglas | C | 21 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
23 | Nikita Nesterenko | C/LW | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 1.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
24 | Jeremie Biakabutuka | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 1 | 17.08 | 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 | 899 | 122 | 227 | 349 | 95 | 457 | 5 | 1161 | 1505 | 446 | 1128 | 8.11% | 368 | 15.59 | 31 | 55 | 86 | 1296 | 1 | 4 | 5 | 1396 | 27 | 8 | 55.17% | 4122 | 0 | 0 | 0 | 0 | 0.50 | 2 | 8 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Louis Domingue | 38 | 22 | 12 | 3 | 0.920 | 2.37 | 2150 | 4 | 4 | 85 | 1056 | 0 | 0 | 0 | 0.571 | 7 | 38 | 8 | 5 | 3 | 4 | |
2 | Adam Scheel | 15 | 8 | 3 | 0 | 0.926 | 2.13 | 705 | 0 | 0 | 25 | 337 | 0 | 0 | 0 | 1.000 | 3 | 10 | 29 | 0 | 0 | 2 | |
3 | Brandon Halverson | 2 | 0 | 1 | 0 | 0.936 | 1.67 | 108 | 0 | 0 | 3 | 47 | 0 | 0 | 0 | 0.000 | 0 | 1 | 12 | 0 | 0 | 0 | |
Team Total or Average | 55 | 30 | 16 | 3 | 0.922 | 2.29 | 2964 | 4 | 4 | 113 | 1440 | 0 | 0 | 0 | 0.700 | 10 | 49 | 49 | 5 | 3 | 6 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Scheel | G | 25 | 800,000$ | 800,000$ | |||||||
Amir Miftakhov | G | 24 | 0$ | ||||||||
Bennett MacArthur | LW | 24 | 859,167$ | 859,167$ | |||||||
Brady Stonehouse | RW | 20 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Brandon Halverson | G | 28 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
Brendan Perlini | LW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Curtis Douglas | C | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Derrick Pouliot | D | 31 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Devin Shore | C | 30 | 775,000$ | 775,000$ | UFA | ||||||
Hunter Drew | D | 26 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Jacob Quillan | C | 23 | 875,000$ | 875,000$ | 875,000$ | ||||||
Jeff Malott | LW | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Jeremie Biakabutuka | D | 22 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Jordan Frasca | C | 23 | 859,167$ | 859,167$ | RFA | ||||||
Jujhar Khaira | C/LW | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Lane Pederson | C/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Louis Domingue | G | 32 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Luke Schenn | D | 35 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Mark Pysyk | D | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Martin Frk | LW/RW | 31 | 850,000$ | 850,000$ | UFA | ||||||
Mason Shaw | C/LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Matt Donovan | D | 34 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Matthew Benning | D | 30 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Maxim Cajkovic | LW/RW | 24 | 775,000$ | 775,000$ | |||||||
Nicholas Abruzzese | C/LW | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Nikita Nesterenko | C/LW | 23 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Nolan Burke | C | 22 | 861,667$ | 861,667$ | RFA | ||||||
Peetro Seppala | D | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Robin Salo | D | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Simon Johansson | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
T.J. Tynan | C | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Trevor Carrick | D | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Tucker Robertson | C | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Vladislav Kolyachonok | D | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Will Cranley | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
Zach Dean | C | 22 | 883,333$ | 883,333$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 53 | 25 | 46 | 7 | 31 | 544 | 450 | 542 | 36 | 29 | 8 | 8 | 25 | 3 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 50.0% | 9.7% | 82.8% | 92.4 | FUN | |
2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 53 | 25 | 46 | 7 | 70 | 544 | 450 | 542 | 36 | 57 | 15 | 24 | 43 | 6 | 2 | 33.33% | 11 | 1 | 90.91% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 44.4% | 8.6% | 89.5% | 98.0 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 53 | 25 | 46 | 7 | 24 | 544 | 450 | 542 | 36 | 25 | 10 | 8 | 19 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | nan% | 8.3% | 100.0% | 108.3 | DULL | |
4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 53 | 25 | 46 | 7 | 60 | 544 | 450 | 542 | 36 | 54 | 14 | 12 | 37 | 8 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 66.7% | 10.0% | 94.4% | 104.4 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 53 | 25 | 46 | 7 | 22 | 544 | 450 | 542 | 36 | 23 | 10 | 10 | 19 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 50.0% | 13.6% | 91.3% | 104.9 | LUCKY | |
6 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 53 | 25 | 46 | 7 | 31 | 544 | 450 | 542 | 36 | 19 | 9 | 8 | 24 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 66.7% | 9.7% | 89.5% | 99.2 | FUN | |
7 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 4 | 0.500 | 11 | 21 | 32 | 0 | 0 | 53 | 25 | 46 | 7 | 124 | 544 | 450 | 542 | 36 | 114 | 31 | 36 | 95 | 8 | 2 | 25.00% | 18 | 6 | 66.67% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 56.3% | 8.9% | 88.6% | 97.5 | Unlucky | |
8 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 53 | 25 | 46 | 7 | 99 | 544 | 450 | 542 | 36 | 97 | 24 | 30 | 78 | 10 | 1 | 10.00% | 14 | 4 | 71.43% | 2 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 50.0% | 6.1% | 90.7% | 96.8 | Unlucky | |
9 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 53 | 25 | 46 | 7 | 55 | 544 | 450 | 542 | 36 | 60 | 13 | 22 | 40 | 5 | 1 | 20.00% | 11 | 2 | 81.82% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 55.6% | 10.9% | 90.0% | 100.9 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 53 | 25 | 46 | 7 | 28 | 544 | 450 | 542 | 36 | 19 | 4 | 8 | 23 | 7 | 1 | 14.29% | 2 | 1 | 50.00% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 100.0% | 10.7% | 94.7% | 105.5 | LUCKY | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 53 | 25 | 46 | 7 | 64 | 544 | 450 | 542 | 36 | 74 | 17 | 16 | 51 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 50.0% | 4.7% | 94.6% | 99.3 | DULL | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 53 | 25 | 46 | 7 | 47 | 544 | 450 | 542 | 36 | 28 | 8 | 2 | 30 | 9 | 1 | 11.11% | 1 | 0 | 100.00% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 50.0% | 4.3% | 96.4% | 100.7 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 53 | 25 | 46 | 7 | 36 | 544 | 450 | 542 | 36 | 16 | 12 | 12 | 24 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 100.0% | 5.6% | 93.8% | 99.3 | DULL | |
14 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 2 | 5 | 0 | 0 | 53 | 25 | 46 | 7 | 43 | 544 | 450 | 542 | 36 | 34 | 11 | 12 | 28 | 2 | 1 | 50.00% | 6 | 2 | 66.67% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 100.0% | 7.0% | 94.1% | 101.1 | DULL | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 53 | 25 | 46 | 7 | 58 | 544 | 450 | 542 | 36 | 50 | 14 | 18 | 46 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 33.3% | 5.2% | 84.0% | 89.2 | Unlucky | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 53 | 25 | 46 | 7 | 62 | 544 | 450 | 542 | 36 | 63 | 13 | 16 | 54 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 42.9% | 6.5% | 92.1% | 98.5 | DULL | |
17 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 6 | 0.750 | 11 | 20 | 31 | 0 | 0 | 53 | 25 | 46 | 7 | 135 | 544 | 450 | 542 | 36 | 110 | 29 | 33 | 90 | 13 | 3 | 23.08% | 14 | 1 | 92.86% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 50.0% | 8.1% | 91.8% | 100.0 | DULL | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 53 | 25 | 46 | 7 | 26 | 544 | 450 | 542 | 36 | 35 | 9 | 10 | 25 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 0.0% | 0.0% | 91.4% | 91.4 | DULL | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 53 | 25 | 46 | 7 | 35 | 544 | 450 | 542 | 36 | 35 | 11 | 16 | 29 | 4 | 2 | 50.00% | 6 | 0 | 100.00% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 60.0% | 14.3% | 94.3% | 108.6 | LUCKY | |
20 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 5 | 10 | 7 | 0.875 | 15 | 28 | 43 | 0 | 1 | 53 | 25 | 46 | 7 | 144 | 544 | 450 | 542 | 36 | 129 | 38 | 30 | 94 | 10 | 2 | 20.00% | 15 | 1 | 93.33% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 76.5% | 10.4% | 96.1% | 106.5 | LUCKY | |
21 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 53 | 25 | 46 | 7 | 76 | 544 | 450 | 542 | 36 | 79 | 15 | 30 | 60 | 8 | 3 | 37.50% | 14 | 3 | 78.57% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 50.0% | 9.2% | 91.1% | 100.3 | Unlucky | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 53 | 25 | 46 | 7 | 42 | 544 | 450 | 542 | 36 | 35 | 6 | 10 | 12 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 66.7% | 11.9% | 94.3% | 106.2 | LUCKY | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 53 | 25 | 46 | 7 | 45 | 544 | 450 | 542 | 36 | 63 | 15 | 38 | 44 | 9 | 1 | 11.11% | 18 | 5 | 72.22% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 50.0% | 4.4% | 90.5% | 94.9 | Unlucky | |
24 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 8 | 0.800 | 11 | 21 | 32 | 0 | 2 | 53 | 25 | 46 | 7 | 145 | 544 | 450 | 542 | 36 | 137 | 31 | 38 | 119 | 14 | 2 | 14.29% | 19 | 3 | 84.21% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 90.0% | 7.6% | 97.1% | 104.7 | DULL | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 53 | 25 | 46 | 7 | 31 | 544 | 450 | 542 | 36 | 27 | 5 | 8 | 31 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 42.9% | 16.1% | 85.2% | 101.3 | FUN | |
26 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 53 | 25 | 46 | 7 | 30 | 544 | 450 | 542 | 36 | 28 | 5 | 8 | 29 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 40.0% | 10.0% | 85.7% | 95.7 | FUN | |
_Vs Division | 17 | 14 | 6 | 0 | 1 | 0 | 0 | 1 | 42 | 38 | 4 | 31 | 0.912 | 42 | 77 | 119 | 0 | 2 | 53 | 25 | 46 | 7 | 528 | 544 | 450 | 542 | 36 | 519 | 138 | 171 | 390 | 54 | 10 | 18.52% | 81 | 13 | 83.95% | 2 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 56.1% | 8.0% | 92.7% | 100.6 | DULL | |
_Vs Conference | 35 | 16 | 13 | 0 | 3 | 1 | 1 | 1 | 89 | 80 | 9 | 42 | 0.600 | 89 | 161 | 250 | 0 | 4 | 53 | 25 | 46 | 7 | 1089 | 544 | 450 | 542 | 36 | 1029 | 262 | 337 | 813 | 110 | 20 | 18.18% | 160 | 29 | 81.88% | 2 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 57.5% | 8.2% | 92.2% | 100.4 | DULL | |
_Since Last GM Reset | 49 | 24 | 16 | 0 | 4 | 2 | 2 | 1 | 130 | 114 | 16 | 63 | 0.643 | 130 | 235 | 365 | 0 | 4 | 53 | 25 | 46 | 7 | 1563 | 544 | 450 | 542 | 36 | 1440 | 377 | 463 | 1169 | 155 | 31 | 20.00% | 216 | 38 | 82.41% | 2 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 56.6% | 8.3% | 92.1% | 100.4 | DULL | |
Total | 49 | 24 | 16 | 0 | 4 | 2 | 2 | 1 | 130 | 114 | 16 | 63 | 0.643 | 130 | 235 | 365 | 0 | 4 | 53 | 25 | 46 | 7 | 1563 | 544 | 450 | 542 | 36 | 1440 | 377 | 463 | 1169 | 155 | 31 | 20.00% | 216 | 38 | 82.41% | 2 | 950 | 1742 | 54.54% | 972 | 1701 | 57.14% | 369 | 672 | 54.91% | 1234 | 840 | 1075 | 371 | 655 | 335 | 56.6% | 8.3% | 92.1% | 100.4 | DULL |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 13 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1742 |
Neutral Zone Start | 672 |
Defensive Zone Start | 1701 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 2291 |
Faceoffs Lost | 1824 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 31.3 | 30.68 |
Overtime | 32.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 97 |
---|---|
PP Goal | 31 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 14 | 16 |
Lost | 7 | 9 |
Overtime Lost | 2 | 1 |
PP Attempt | 155 |
---|---|
PP Goal | 31 |
PK Attempt | 216 |
PK Goal Against | 38 |
Home | |
---|---|
Shots For | 31.9 |
Shots Against | 29.4 |
Goals For | 2.7 |
Goals Against | 2.3 |
Hits | 23.9 |
Shots Blocked | 7.7 |
Pim | 9.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-06 | @ | Phantoms3,Wild1 | RECAP | |||||||||||
2024-10-09 | @ | Wolf Pack3,Phantoms4 | RECAP | |||||||||||
2024-10-10 | @ | Phantoms3,Bears1 | RECAP | |||||||||||
2024-10-12 | @ | Penguins2,Phantoms0 | RECAP | |||||||||||
2024-10-16 | @ | Bruins3,Phantoms4 | RECAP | |||||||||||
2024-10-21 | @ | Penguins0,Phantoms3 | RECAP | |||||||||||
2024-10-25 | @ | Thunderbirds5,Phantoms1 | RECAP | |||||||||||
2024-10-26 | @ | Phantoms3,Wolf Pack5 | RECAP | |||||||||||
2024-10-29 | @ | Phantoms3,Rocket4 | RECAP | |||||||||||
2024-10-31 | @ | Phantoms3,Checkers0 | RECAP | |||||||||||
2024-11-01 | @ | Checkers1,Phantoms5 | RECAP | |||||||||||
2024-11-03 | @ | Islanders2,Phantoms3 (OT) | RECAP | |||||||||||
2024-11-06 | @ | Phantoms3,Griffins2 | RECAP | |||||||||||
2024-11-08 | @ | Roadrunners2,Phantoms3 | RECAP | |||||||||||
2024-11-12 | @ | Phantoms0,Comets1 | RECAP | |||||||||||
2024-11-13 | @ | Griffins4,Phantoms3 | RECAP | |||||||||||
2024-11-15 | @ | Phantoms1,Marlies2 | RECAP | |||||||||||
2024-11-16 | @ | Condors2,Phantoms3 (SO) | RECAP | |||||||||||
2024-11-19 | @ | Phantoms0,Americans3 | RECAP | |||||||||||
2024-11-22 | @ | Penguins0,Phantoms3 | RECAP | |||||||||||
2024-11-24 | @ | Phantoms3,Wolves2 | RECAP | |||||||||||
2024-11-25 | @ | Phantoms3,Penguins1 | RECAP | |||||||||||
2024-11-26 | @ | Thunderbirds3,Phantoms2 | RECAP | |||||||||||
2024-11-28 | @ | Phantoms4,Bruins2 | RECAP | |||||||||||
2024-12-01 | @ | Phantoms5,Silver Knights4 | RECAP | |||||||||||
2024-12-03 | @ | IceHogs2,Phantoms5 | RECAP | |||||||||||
2024-12-05 | @ | Phantoms2,Reign1 | RECAP | |||||||||||
2024-12-07 | @ | Phantoms6,Checkers2 | RECAP | |||||||||||
2024-12-10 | @ | Islanders1,Phantoms3 | RECAP | |||||||||||
2024-12-13 | @ | Phantoms0,Griffins3 | RECAP | |||||||||||
2024-12-14 | @ | Admirals1,Phantoms2 | RECAP | |||||||||||
2024-12-18 | @ | Phantoms3,Firebirds4 (OT) | RECAP | |||||||||||
2024-12-22 | @ | Checkers2,Phantoms1 (SO) | RECAP | |||||||||||
2024-12-24 | @ | Phantoms5,Monsters4 (SO) | RECAP | |||||||||||
2024-12-26 | @ | Phantoms3,Eagles2 (OT) | RECAP | |||||||||||
2024-12-27 | @ | Monsters3,Phantoms2 (OT) | RECAP | |||||||||||
2024-12-30 | @ | Phantoms2,Wolf Pack1 | RECAP | |||||||||||
2025-01-01 | @ | Roadrunners3,Phantoms1 | RECAP | |||||||||||
2025-01-03 | @ | Phantoms3,Wranglers5 | RECAP | |||||||||||
2025-01-06 | @ | Stars2,Phantoms5 | RECAP | |||||||||||
2025-01-07 | @ | Phantoms2,Penguins1 | RECAP | |||||||||||
2025-01-09 | @ | Marlies4,Phantoms1 | RECAP | |||||||||||
2025-01-13 | @ | Phantoms0,Bruins2 | RECAP | |||||||||||
2025-01-15 | @ | Phantoms2,Senators0 | RECAP | |||||||||||
2025-01-16 | @ | Bruins2,Phantoms3 | RECAP | |||||||||||
2025-01-22 | @ | Phantoms0,Wild3 | RECAP | |||||||||||
2025-01-23 | @ | Wolf Pack4,Phantoms2 | RECAP | |||||||||||
2025-01-25 | @ | Comets5,Phantoms6 (OT) | RECAP | |||||||||||
2025-01-28 | @ | Phantoms3,Rocket2 (OT) | RECAP | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | |||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,977,834$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Lehigh Valley | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 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 |
13 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,977,834$ | 2,977,834$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,477,645$ | 16,362$ | 1,845,825$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 81 | 21,856$ | 1,464,352$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,464,352$ | 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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