|
|
|
|
|
|
|
|
|
Full Scoreboard »» |
Hershey Bears 25-22-1, 51pts · 11th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 92 | RW | 97.00 | 63 | 33 | 88 | 66 | 76 | 81 | 71 | 67 | 60 | 60 | 76 | 57 | 71 | 69 | 68 | 0 | 52 | 76 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | C/RW | 98.00 | 65 | 33 | 87 | 65 | 83 | 79 | 83 | 64 | 79 | 66 | 66 | 60 | 65 | 67 | 66 | 0 | 55 | 75 | 25 | 1,250,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 79 | 34 | 94 | 61 | 90 | 70 | 78 | 61 | 59 | 58 | 66 | 58 | 63 | 69 | 69 | 0 | 55 | 73 | 27 | 1,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 33 | 95 | 58 | 76 | 73 | 71 | 60 | 59 | 59 | 62 | 55 | 61 | 66 | 65 | 0 | 22 | 70 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 68 | 34 | 89 | 58 | 86 | 73 | 68 | 56 | 58 | 58 | 57 | 69 | 56 | 66 | 65 | 0 | 56 | 70 | 25 | 950,000$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 75 | 40 | 76 | 57 | 76 | 67 | 89 | 55 | 37 | 58 | 57 | 68 | 58 | 68 | 66 | 0 | 53 | 69 | 26 | 850,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 66 | 39 | 81 | 59 | 71 | 64 | 79 | 57 | 41 | 57 | 58 | 60 | 57 | 56 | 54 | 0 | 55 | 68 | 20 | 918,333$/2yrs | |||
![]() | 0 | RW | 100.00 | 62 | 38 | 87 | 54 | 73 | 63 | 86 | 61 | 65 | 55 | 52 | 65 | 53 | 63 | 61 | 0 | 54 | 67 | 24 | 900,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 81 | 42 | 55 | 53 | 77 | 63 | 87 | 62 | 39 | 54 | 51 | 66 | 52 | 64 | 60 | 0 | 56 | 67 | 25 | 800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 38 | 86 | 55 | 72 | 63 | 70 | 60 | 41 | 54 | 55 | 63 | 55 | 61 | 59 | 0 | 54 | 67 | 23 | 862,500$/1yrs | |||
![]() | 0 | C | 99.00 | 56 | 37 | 92 | 63 | 64 | 68 | 60 | 61 | 67 | 56 | 52 | 61 | 62 | 58 | 57 | 0 | 44 | 67 | 21 | 825,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 61 | 38 | 89 | 54 | 71 | 63 | 67 | 62 | 42 | 49 | 59 | 66 | 54 | 64 | 63 | 0 | 43 | 67 | 25 | 870,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 82 | 41 | 55 | 55 | 74 | 62 | 74 | 58 | 35 | 50 | 56 | 62 | 53 | 57 | 53 | 0 | 26 | 66 | 21 | 863,333$/2yrs | |||
![]() | 6 | D | 97.00 | 67 | 33 | 84 | 60 | 77 | 84 | 76 | 58 | 30 | 67 | 60 | 58 | 59 | 77 | 75 | 0 | 51 | 75 | 31 | 1,200,000$/2yrs | |||
![]() | 0 | D | 97.00 | 69 | 34 | 85 | 56 | 78 | 83 | 90 | 58 | 30 | 63 | 55 | 67 | 57 | 76 | 75 | 0 | 53 | 73 | 31 | 1,850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 34 | 86 | 55 | 88 | 84 | 90 | 57 | 30 | 59 | 55 | 69 | 56 | 88 | 87 | 0 | 53 | 73 | 38 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 34 | 94 | 55 | 85 | 80 | 76 | 54 | 30 | 58 | 53 | 65 | 54 | 66 | 65 | 0 | 54 | 70 | 25 | 825,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 40 | 78 | 50 | 83 | 66 | 83 | 51 | 30 | 56 | 54 | 67 | 55 | 65 | 62 | 0 | 55 | 68 | 25 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 39 | 88 | 55 | 79 | 65 | 86 | 51 | 30 | 60 | 50 | 64 | 55 | 61 | 60 | 0 | 59 | 68 | 23 | 800,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 71 | 49 | 60 | 61 | 83 | 78 | 75 | 60 | 61 | 62 | 64 | 55 | 62 | 67 | 63 | 0 | 19 | 72 | 26 | 800,000$/1yrs | |||
![]() | 51 | LW | 100.00 | 83 | 40 | 64 | 54 | 77 | 67 | 68 | 63 | 51 | 51 | 61 | 64 | 56 | 68 | 65 | 0 | 20 | 69 | 27 | ||||
![]() | 0 | C | 100.00 | 63 | 38 | 86 | 52 | 71 | 61 | 66 | 62 | 65 | 45 | 57 | 65 | 51 | 62 | 61 | 0 | 20 | 66 | 25 | ||||
![]() | 0 | C | 100.00 | 61 | 38 | 89 | 55 | 74 | 62 | 77 | 59 | 63 | 54 | 53 | 63 | 53 | 59 | 58 | 0 | 22 | 66 | 22 | 845,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 58 | 37 | 95 | 48 | 67 | 58 | 68 | 61 | 41 | 47 | 47 | 64 | 47 | 61 | 60 | 0 | 20 | 63 | 24 | 841,667$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 64 | 39 | 84 | 53 | 81 | 62 | 72 | 61 | 63 | 44 | 44 | 65 | 52 | 63 | 61 | 0 | 20 | 63 | 24 | 870,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 65 | 38 | 82 | 46 | 63 | 57 | 74 | 62 | 68 | 46 | 45 | 66 | 46 | 62 | 60 | 0 | 37 | 63 | 24 | 950,000$/1yrs | |||
![]() | 13 | D | 100.00 | 57 | 39 | 96 | 57 | 83 | 60 | 60 | 55 | 30 | 51 | 49 | 64 | 58 | 61 | 63 | 0 | 20 | 67 | 24 | ||||
![]() | 0 | D | 100.00 | 65 | 39 | 83 | 49 | 72 | 61 | 72 | 46 | 30 | 54 | 46 | 67 | 50 | 66 | 64 | 0 | 20 | 65 | 26 | ||||
![]() | 0 | D | 100.00 | 62 | 39 | 91 | 59 | 84 | 62 | 60 | 54 | 30 | 52 | 42 | 59 | 55 | 54 | 53 | 0 | 20 | 65 | 19 | 900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 38 | 91 | 47 | 76 | 62 | 74 | 46 | 30 | 52 | 50 | 63 | 51 | 61 | 60 | 0 | 20 | 64 | 23 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 39 | 81 | 46 | 77 | 60 | 83 | 45 | 30 | 51 | 47 | 64 | 49 | 61 | 59 | 0 | 20 | 63 | 24 | 846,667$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 40 | 83 | 43 | 83 | 58 | 70 | 43 | 30 | 48 | 46 | 65 | 47 | 62 | 61 | 0 | 20 | 62 | 24 | 910,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 40 | 66 | 43 | 75 | 59 | 67 | 43 | 30 | 47 | 48 | 65 | 47 | 62 | 59 | 0 | 20 | 62 | 24 | 870,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 77 | 89 | 65 | 74 | 71 | 74 | 71 | 76 | 74 | 82 | 71 | 62 | 65 | 0 | 40 | 78 | 22 | 925,000$/1yrs |
![]() | 0 | 97.00 | 73 | 79 | 69 | 74 | 70 | 72 | 72 | 73 | 72 | 74 | 72 | 57 | 59 | 0 | 37 | 76 | 20 | 858,333$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 72 | 67 | 68 | 84 | 69 | 62 | 71 | 74 | 72 | 74 | 71 | 64 | 68 | 0 | 25 | 75 | 24 | 1,100,000$/2yrs |
![]() | 0 | 100.00 | 71 | 80 | 66 | 74 | 65 | 69 | 69 | 71 | 69 | 71 | 70 | 55 | 56 | 0 | 20 | 73 | 20 | 798,333$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Tippett | 76 | 80 | 84 | 82 | 91 | 84 | 55 | CAN | 63 | 3 | 1,000,000$ |
General Manager |
---|
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 | Cody Glass | C/RW | 45 | 15 | 26 | 41 | 4 | 14 | 0 | 40 | 185 | 51 | 114 | 8.11% | 15 | 20.85 | 7 | 8 | 15 | 111 | 0 | 0 | 0 | 107 | 1 | 1 | 57.20% | 743 | 0 | 0 | 0 | 0 | 0.87 | 0 | 2 | ||
2 | Pavol Regenda | LW/RW | 48 | 13 | 19 | 32 | -5 | 20 | 0 | 68 | 145 | 44 | 116 | 8.97% | 10 | 19.66 | 5 | 6 | 11 | 130 | 0 | 0 | 0 | 80 | 1 | 1 | 46.02% | 113 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
3 | Alexander Alexeyev | D | 47 | 3 | 24 | 27 | -15 | 16 | 0 | 52 | 78 | 19 | 45 | 3.85% | 68 | 22.22 | 1 | 11 | 12 | 127 | 0 | 0 | 0 | 110 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
4 | Jack Johnson | D | 48 | 5 | 22 | 27 | -5 | 18 | 0 | 74 | 50 | 18 | 34 | 10.00% | 61 | 19.14 | 3 | 5 | 8 | 67 | 0 | 0 | 0 | 86 | 1 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
5 | Julien Gauthier | RW | 48 | 15 | 12 | 27 | 1 | 16 | 0 | 68 | 128 | 44 | 93 | 11.72% | 2 | 17.79 | 5 | 4 | 9 | 92 | 0 | 0 | 0 | 46 | 2 | 2 | 46.44% | 463 | 0 | 0 | 0 | 0 | 0.63 | 0 | 1 | ||
6 | Justin Robidas | C | 47 | 10 | 15 | 25 | 1 | 4 | 0 | 14 | 100 | 27 | 98 | 10.00% | 7 | 16.74 | 4 | 4 | 8 | 62 | 0 | 0 | 0 | 16 | 3 | 0 | 48.47% | 685 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
7 | Brett Kulak | D | 48 | 9 | 15 | 24 | 2 | 20 | 0 | 82 | 67 | 26 | 66 | 13.43% | 57 | 21.38 | 5 | 7 | 12 | 111 | 0 | 0 | 0 | 87 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
8 | Juha Jaaska | LW/RW | 47 | 10 | 14 | 24 | 0 | 14 | 0 | 61 | 111 | 30 | 89 | 9.01% | 12 | 16.10 | 2 | 4 | 6 | 78 | 0 | 0 | 0 | 4 | 0 | 0 | 35.09% | 114 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
9 | Alexander Nylander | RW | 18 | 10 | 10 | 20 | 9 | 8 | 0 | 21 | 86 | 22 | 80 | 11.63% | 3 | 25.43 | 2 | 5 | 7 | 45 | 0 | 0 | 0 | 53 | 2 | 0 | 46.15% | 247 | 0 | 0 | 0 | 0 | 0.87 | 0 | 2 | ||
10 | Ronnie Attard | D | 48 | 3 | 16 | 19 | -8 | 48 | 0 | 92 | 49 | 12 | 39 | 6.12% | 64 | 18.97 | 1 | 1 | 2 | 79 | 0 | 0 | 0 | 64 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
11 | Maxence Guenette | D | 48 | 2 | 16 | 18 | 2 | 7 | 5 | 55 | 38 | 18 | 21 | 5.26% | 60 | 18.02 | 0 | 5 | 5 | 82 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
12 | Mike Reilly | D | 28 | 5 | 12 | 17 | 2 | 16 | 0 | 51 | 41 | 8 | 30 | 12.20% | 36 | 23.72 | 3 | 6 | 9 | 71 | 0 | 0 | 0 | 73 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
13 | Corey Andonovski | RW | 48 | 6 | 7 | 13 | 0 | 22 | 0 | 93 | 52 | 19 | 55 | 11.54% | 9 | 9.73 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 36.90% | 187 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
14 | Joakim Kemell | RW | 48 | 7 | 5 | 12 | -9 | 16 | 0 | 48 | 85 | 25 | 59 | 8.24% | 2 | 14.49 | 1 | 2 | 3 | 75 | 0 | 0 | 0 | 75 | 4 | 0 | 33.78% | 222 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
15 | Mathias Laferriere | RW | 46 | 3 | 6 | 9 | 6 | 0 | 0 | 8 | 30 | 9 | 25 | 10.00% | 3 | 6.18 | 0 | 1 | 1 | 35 | 0 | 0 | 0 | 9 | 0 | 0 | 53.03% | 66 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
16 | Sam Morton | LW | 47 | 3 | 5 | 8 | -17 | 14 | 0 | 31 | 63 | 12 | 43 | 4.76% | 6 | 10.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 43.86% | 456 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
17 | Jakub Dvorak | D | 20 | 2 | 2 | 4 | 1 | 14 | 0 | 30 | 11 | 6 | 7 | 18.18% | 18 | 16.05 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
18 | Max Comtois | C/LW | 4 | 1 | 1 | 2 | -3 | 0 | 0 | 10 | 11 | 2 | 5 | 9.09% | 3 | 21.51 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 7 | 0 | 0 | 46.32% | 95 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
19 | Noel Gunler | LW/RW | 45 | 2 | 0 | 2 | -1 | 2 | 0 | 8 | 30 | 9 | 23 | 6.67% | 1 | 5.64 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 14 | 0 | 1 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
20 | Ivan Ivan | C | 11 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 0.38 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 4.84 | 0 | 0 | ||
21 | Martin Kaut | C/RW | 7 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 0.00% | 0 | 3.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
22 | Cole McWard | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 1 | 19.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
23 | Chase Stillman | RW | 20 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0.23 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
24 | Blake McLaughlin | LW | 36 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 2 | 1 | 3 | 0.00% | 0 | 0.30 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 853 | 125 | 227 | 352 | -36 | 271 | 5 | 909 | 1364 | 405 | 1047 | 9.16% | 438 | 15.07 | 40 | 70 | 110 | 1210 | 0 | 0 | 0 | 929 | 19 | 9 | 47.16% | 3414 | 0 | 0 | 0 | 0 | 0.55 | 0 | 5 |
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 | Yaroslav Askarov | 28 | 13 | 14 | 0 | 0.905 | 2.99 | 1523 | 2 | 2 | 76 | 796 | 0 | 0 | 1 | 1.000 | 3 | 28 | 18 | 2 | 1 | 3 | |
2 | Dom DiVincentiis | 13 | 5 | 4 | 1 | 0.933 | 2.44 | 714 | 0 | 0 | 29 | 430 | 0 | 1 | 0 | 0.500 | 2 | 10 | 14 | 2 | 1 | 0 | |
Team Total or Average | 41 | 18 | 18 | 1 | 0.914 | 2.82 | 2237 | 2 | 2 | 105 | 1226 | 0 | 1 | 1 | 0.800 | 5 | 38 | 32 | 4 | 2 | 3 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Alexeyev | D | 25 | 825,000$ | 825,000$ | |||||||
Alexander Nylander | RW | 26 | 1,000,000$ | 1,000,000$ | |||||||
Anton Malmstrom | D | 24 | 910,000$ | 910,000$ | |||||||
Austin Wagner | LW | 27 | 0$ | UFA | |||||||
Blake McLaughlin | LW | 24 | 950,000$ | 950,000$ | |||||||
Brett Kulak | D | 31 | 1,850,000$ | 1,850,000$ | UFA | ||||||
Carson Focht | C | 25 | 0$ | ||||||||
Chase Stillman | RW | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Cody Glass | C/RW | 25 | 1,250,000$ | 1,250,000$ | |||||||
Cole McWard | D | 23 | 900,000$ | 900,000$ | RFA | ||||||
Colin Swoyer | D | 26 | 0$ | ||||||||
Corey Andonovski | RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Dmitri Semykin | D | 24 | 0$ | ||||||||
Dom DiVincentiis | G | 20 | 858,333$ | 858,333$ | 858,333$ | RFA | |||||
Ivan Ivan | C | 22 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Jack Johnson | D | 38 | 800,000$ | 800,000$ | UFA | ||||||
Jakub Dvorak | D | 19 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Jaydon Dureau | LW | 24 | 841,667$ | 841,667$ | |||||||
Joakim Kemell | RW | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Juha Jaaska | LW/RW | 26 | 850,000$ | 850,000$ | UFA | ||||||
Julien Gauthier | RW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Justin Robidas | C | 21 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Luke Krys | D | 24 | 870,000$ | 870,000$ | |||||||
Martin Kaut | C/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Mathias Laferriere | RW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Max Comtois | C/LW | 26 | 800,000$ | 800,000$ | |||||||
Maxence Guenette | D | 23 | 800,000$ | 800,000$ | RFA | ||||||
Mike Reilly | D | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Mikko Kokkonen | D | 24 | 846,667$ | 846,667$ | |||||||
Nico Daws | G | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Noel Gunler | LW/RW | 23 | 862,500$ | 862,500$ | RFA | ||||||
Nolan Lalonde | G | 20 | 798,333$ | 798,333$ | RFA | ||||||
Ondrej Pavel | C/LW/RW | 24 | 870,000$ | 870,000$ | |||||||
Pavol Regenda | LW/RW | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
Ronnie Attard | D | 25 | 850,000$ | 850,000$ | |||||||
Sam Morton | LW | 25 | 870,000$ | 870,000$ | |||||||
Yaroslav Askarov | G | 22 | 925,000$ | 925,000$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 45 | 50 | 45 | 3 | 35 | 472 | 531 | 559 | 16 | 45 | 8 | 12 | 21 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 66.7% | 14.3% | 93.3% | 107.6 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 45 | 50 | 45 | 3 | 19 | 472 | 531 | 559 | 16 | 28 | 9 | 18 | 18 | 2 | 1 | 50.00% | 7 | 1 | 85.71% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 0.0% | 5.3% | 89.3% | 94.5 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 45 | 50 | 45 | 3 | 33 | 472 | 531 | 559 | 16 | 36 | 10 | 10 | 25 | 3 | 2 | 66.67% | 5 | 0 | 100.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 0.0% | 6.1% | 91.7% | 97.7 | DULL | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 45 | 50 | 45 | 3 | 77 | 472 | 531 | 559 | 16 | 59 | 24 | 15 | 48 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 42.9% | 5.2% | 93.2% | 98.4 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 45 | 50 | 45 | 3 | 34 | 472 | 531 | 559 | 16 | 27 | 11 | 0 | 26 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 80.0% | 11.8% | 96.3% | 108.1 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 45 | 50 | 45 | 3 | 28 | 472 | 531 | 559 | 16 | 28 | 10 | 4 | 17 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 42.9% | 14.3% | 82.1% | 96.4 | FUN | |
7 | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 13 | 22 | 0 | 0 | 45 | 50 | 45 | 3 | 105 | 472 | 531 | 559 | 16 | 99 | 43 | 28 | 63 | 10 | 2 | 20.00% | 14 | 2 | 85.71% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 53.8% | 8.6% | 91.9% | 100.5 | DULL | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 2 | 0.500 | 8 | 14 | 22 | 0 | 1 | 45 | 50 | 45 | 3 | 79 | 472 | 531 | 559 | 16 | 74 | 20 | 18 | 49 | 12 | 4 | 33.33% | 8 | 1 | 87.50% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 66.7% | 10.1% | 95.9% | 106.1 | LUCKY | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 45 | 50 | 45 | 3 | 83 | 472 | 531 | 559 | 16 | 54 | 21 | 10 | 60 | 7 | 3 | 42.86% | 5 | 1 | 80.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 54.5% | 10.8% | 88.9% | 99.7 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 45 | 50 | 45 | 3 | 42 | 472 | 531 | 559 | 16 | 29 | 11 | 4 | 24 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 57.1% | 11.9% | 89.7% | 101.6 | FUN | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 45 | 50 | 45 | 3 | 35 | 472 | 531 | 559 | 16 | 22 | 3 | 6 | 24 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 75.0% | 11.4% | 95.5% | 106.9 | LUCKY | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 45 | 50 | 45 | 3 | 45 | 472 | 531 | 559 | 16 | 20 | 7 | 11 | 22 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 80.0% | 11.1% | 90.0% | 101.1 | FUN | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 45 | 50 | 45 | 3 | 71 | 472 | 531 | 559 | 16 | 65 | 22 | 8 | 40 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 50.0% | 11.3% | 90.8% | 102.0 | FUN | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 45 | 50 | 45 | 3 | 24 | 472 | 531 | 559 | 16 | 30 | 7 | 6 | 18 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 0.0% | 0.0% | 83.3% | 83.3 | Unlucky | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 45 | 50 | 45 | 3 | 59 | 472 | 531 | 559 | 16 | 65 | 17 | 16 | 54 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 33.3% | 6.8% | 89.2% | 96.0 | Unlucky | |
16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 16 | 24 | 0 | 0 | 45 | 50 | 45 | 3 | 89 | 472 | 531 | 559 | 16 | 106 | 14 | 20 | 69 | 5 | 2 | 40.00% | 10 | 2 | 80.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 40.0% | 9.0% | 89.6% | 98.6 | FUN | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 45 | 50 | 45 | 3 | 46 | 472 | 531 | 559 | 16 | 73 | 25 | 10 | 44 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 14.3% | 4.3% | 90.4% | 94.8 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 45 | 50 | 45 | 3 | 28 | 472 | 531 | 559 | 16 | 36 | 9 | 4 | 18 | 6 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 50.0% | 3.6% | 94.4% | 98.0 | DULL | |
19 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 8 | 1.000 | 10 | 17 | 27 | 0 | 1 | 45 | 50 | 45 | 3 | 125 | 472 | 531 | 559 | 16 | 118 | 31 | 37 | 81 | 14 | 4 | 28.57% | 14 | 1 | 92.86% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 66.7% | 8.0% | 96.6% | 104.6 | DULL | |
20 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 17 | -6 | 4 | 0.400 | 11 | 19 | 30 | 0 | 0 | 45 | 50 | 45 | 3 | 163 | 472 | 531 | 559 | 16 | 167 | 55 | 33 | 108 | 22 | 4 | 18.18% | 12 | 3 | 75.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 33.3% | 6.7% | 89.8% | 96.6 | Unlucky | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 45 | 50 | 45 | 3 | 27 | 472 | 531 | 559 | 16 | 31 | 16 | 2 | 19 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 83.3% | 18.5% | 93.5% | 112.1 | LUCKY | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 0.500 | 10 | 17 | 27 | 0 | 0 | 45 | 50 | 45 | 3 | 70 | 472 | 531 | 559 | 16 | 91 | 14 | 16 | 55 | 5 | 4 | 80.00% | 8 | 2 | 75.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 50.0% | 14.3% | 91.2% | 105.5 | LUCKY | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 45 | 50 | 45 | 3 | 21 | 472 | 531 | 559 | 16 | 32 | 4 | 6 | 27 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 33.3% | 4.8% | 93.8% | 98.5 | DULL | |
24 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 5 | 7 | -2 | 3 | 0.500 | 5 | 8 | 13 | 1 | 0 | 45 | 50 | 45 | 3 | 98 | 472 | 531 | 559 | 16 | 87 | 30 | 14 | 59 | 10 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 45.5% | 5.1% | 92.0% | 97.1 | DULL | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 45 | 50 | 45 | 3 | 64 | 472 | 531 | 559 | 16 | 57 | 12 | 12 | 42 | 10 | 4 | 40.00% | 5 | 2 | 60.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 50.0% | 14.1% | 87.7% | 101.8 | FUN | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 45 | 50 | 45 | 3 | 37 | 472 | 531 | 559 | 16 | 25 | 8 | 6 | 27 | 5 | 3 | 60.00% | 2 | 1 | 50.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 100.0% | 10.8% | 96.0% | 106.8 | LUCKY | |
27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 45 | 50 | 45 | 3 | 35 | 472 | 531 | 559 | 16 | 26 | 7 | 6 | 18 | 5 | 3 | 60.00% | 3 | 0 | 100.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 50.0% | 14.3% | 92.3% | 106.6 | LUCKY | |
_Vs Division | 15 | 6 | 8 | 0 | 2 | 0 | 1 | 1 | 45 | 37 | 8 | 19 | 0.633 | 45 | 81 | 126 | 0 | 2 | 45 | 50 | 45 | 3 | 493 | 472 | 531 | 559 | 16 | 490 | 133 | 103 | 343 | 51 | 16 | 31.37% | 46 | 6 | 86.96% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 48.3% | 9.1% | 92.4% | 101.6 | LUCKY | |
_Vs Conference | 32 | 12 | 16 | 0 | 2 | 0 | 1 | 1 | 81 | 86 | -5 | 31 | 0.484 | 81 | 141 | 222 | 1 | 2 | 45 | 50 | 45 | 3 | 1047 | 472 | 531 | 559 | 16 | 1031 | 321 | 237 | 718 | 112 | 27 | 24.11% | 100 | 14 | 86.00% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 42.9% | 7.7% | 91.7% | 99.4 | DULL | |
_Since Last GM Reset | 48 | 22 | 22 | 0 | 2 | 0 | 1 | 1 | 143 | 130 | 13 | 51 | 0.531 | 143 | 252 | 395 | 1 | 2 | 45 | 50 | 45 | 3 | 1572 | 472 | 531 | 559 | 16 | 1530 | 448 | 332 | 1076 | 167 | 46 | 27.54% | 141 | 24 | 82.98% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 47.8% | 9.1% | 91.5% | 100.6 | LUCKY | |
Total | 48 | 22 | 22 | 0 | 2 | 0 | 1 | 1 | 143 | 130 | 13 | 51 | 0.531 | 143 | 252 | 395 | 1 | 2 | 45 | 50 | 45 | 3 | 1572 | 472 | 531 | 559 | 16 | 1530 | 448 | 332 | 1076 | 167 | 46 | 27.54% | 141 | 24 | 82.98% | 0 | 845 | 1752 | 48.23% | 773 | 1670 | 46.29% | 367 | 752 | 48.80% | 1165 | 793 | 1093 | 362 | 635 | 319 | 47.8% | 9.1% | 91.5% | 100.6 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1752 |
Neutral Zone Start | 752 |
Defensive Zone Start | 1670 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1985 |
Faceoffs Lost | 2189 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 32.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 96 |
---|---|
PP Goal | 46 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 13 | 12 |
Lost | 10 | 12 |
Overtime Lost | 0 | 1 |
PP Attempt | 167 |
---|---|
PP Goal | 46 |
PK Attempt | 141 |
PK Goal Against | 24 |
Home | |
---|---|
Shots For | 32.8 |
Shots Against | 31.9 |
Goals For | 3.0 |
Goals Against | 2.7 |
Hits | 22.4 |
Shots Blocked | 9.3 |
Pim | 6.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-07 | @ | Bears8,Gulls5 | RECAP | |||||||||||
2024-10-09 | @ | Bears0,Monsters4 | RECAP | |||||||||||
2024-10-10 | @ | Phantoms3,Bears1 | RECAP | |||||||||||
2024-10-12 | @ | Bears3,Monsters4 | RECAP | |||||||||||
2024-10-15 | @ | Checkers2,Bears4 | RECAP | |||||||||||
2024-10-18 | @ | Checkers1,Bears3 | RECAP | |||||||||||
2024-10-20 | @ | Bears2,Americans4 | RECAP | |||||||||||
2024-10-24 | @ | Bears1,Checkers0 | RECAP | |||||||||||
2024-10-25 | @ | Wolf Pack4,Bears3 | RECAP | |||||||||||
2024-10-28 | @ | Islanders3,Bears2 | RECAP | |||||||||||
2024-10-30 | @ | Bears2,Bruins6 | RECAP | |||||||||||
2024-10-31 | @ | Bears2,Penguins1 (OT) | RECAP | |||||||||||
2024-11-02 | @ | Bears2,Thunderbirds4 | RECAP | |||||||||||
2024-11-03 | @ | Barracuda5,Bears3 | RECAP | |||||||||||
2024-11-06 | @ | Bruins1,Bears3 | RECAP | |||||||||||
2024-11-08 | @ | Bears3,Monsters2 | RECAP | |||||||||||
2024-11-10 | @ | Bears5,Crunch1 | RECAP | |||||||||||
2024-11-12 | @ | Monsters3,Bears4 | RECAP | |||||||||||
2024-11-14 | @ | Bears4,Wolves1 | RECAP | |||||||||||
2024-11-16 | @ | Rocket2,Bears4 | RECAP | |||||||||||
2024-11-18 | @ | Bears1,IceHogs2 | RECAP | |||||||||||
2024-11-19 | @ | Griffins3,Bears1 | RECAP | |||||||||||
2024-11-22 | @ | Bears5,Rocket4 | RECAP | |||||||||||
2024-11-23 | @ | Bears0,Americans3 | RECAP | |||||||||||
2024-11-24 | @ | Barracuda2,Bears6 | RECAP | |||||||||||
2024-11-27 | @ | Bears2,Comets3 | RECAP | |||||||||||
2024-11-28 | @ | Condors5,Bears0 | RECAP | |||||||||||
2024-12-01 | @ | Bears1,Monsters4 | RECAP | |||||||||||
2024-12-04 | @ | Penguins3,Bears1 | RECAP | |||||||||||
2024-12-06 | @ | Bears5,Firebirds2 | RECAP | |||||||||||
2024-12-10 | @ | Thunderbirds3,Bears2 | RECAP | |||||||||||
2024-12-13 | @ | Bears2,Wolf Pack1 (SO) | RECAP | |||||||||||
2024-12-14 | @ | Stars2,Bears1 | RECAP | |||||||||||
2024-12-21 | @ | Bears4,Eagles5 | RECAP | |||||||||||
2024-12-23 | @ | Wolf Pack3,Bears4 (OT) | RECAP | |||||||||||
2024-12-27 | @ | Reign2,Bears5 | RECAP | |||||||||||
2024-12-29 | @ | Bears3,Bruins4 | RECAP | |||||||||||
2025-01-01 | @ | Islanders1,Bears2 | RECAP | |||||||||||
2025-01-05 | @ | Wranglers3,Bears5 | RECAP | |||||||||||
2025-01-07 | @ | Bears7,Griffins0 | RECAP | |||||||||||
2025-01-09 | @ | Silver Knights1,Bears4 | RECAP | |||||||||||
2025-01-13 | @ | Bears2,Checkers1 | RECAP | |||||||||||
2025-01-16 | @ | Crunch5,Bears3 | RECAP | |||||||||||
2025-01-18 | @ | Wild3,Bears5 | RECAP | |||||||||||
2025-01-22 | @ | Bears4,Canucks1 | RECAP | |||||||||||
2025-01-24 | @ | Bears2,Penguins3 (SO) | RECAP | |||||||||||
2025-01-25 | @ | Bears2,Gulls3 | RECAP | |||||||||||
2025-01-26 | @ | Moose2,Bears5 | RECAP | |||||||||||
2025-01-29 | @ | |||||||||||||
2025-02-01 | @ | |||||||||||||
2025-02-02 | @ | |||||||||||||
2025-02-06 | @ | |||||||||||||
2025-02-09 | @ | |||||||||||||
2025-02-12 | @ | |||||||||||||
2025-02-14 | @ | |||||||||||||
2025-02-15 | @ | |||||||||||||
2025-02-17 | @ | |||||||||||||
2025-02-22 | @ | |||||||||||||
2025-02-26 | @ | |||||||||||||
2025-02-27 | @ | |||||||||||||
2025-03-02 | @ | |||||||||||||
2025-03-03 | @ | |||||||||||||
2025-03-06 | @ | |||||||||||||
2025-03-07 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-11 | @ | |||||||||||||
2025-03-14 | @ | |||||||||||||
2025-03-16 | @ | |||||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-03-31 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,002,916$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Hershey | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
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 |
3,002,916$ | 3,002,916$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,613,156$ | 16,500$ | 1,981,289$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 81 | 21,994$ | 1,473,598$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,473,598$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie |
---|---|---|
|
|
|