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Full Scoreboard »» |
Wilkes-Barre/Scranton Penguins 0-1-0, 0pts · 7th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 99.00 | 60 | 38 | 93 | 64 | 74 | 74 | 90 | 65 | 40 | 61 | 69 | 71 | 65 | 67 | 66 | 0 | 45 | 75 | 25 | 870,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 66 | 33 | 95 | 60 | 80 | 78 | 76 | 58 | 59 | 62 | 58 | 70 | 58 | 70 | 69 | 0 | 43 | 72 | 26 | 900,000$/2yrs | |||
![]() | 24 | LW | 100.00 | 79 | 43 | 59 | 58 | 94 | 68 | 73 | 65 | 47 | 58 | 61 | 68 | 59 | 70 | 66 | 0 | 64 | 72 | 27 | 850,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 83 | 39 | 82 | 55 | 80 | 75 | 78 | 58 | 59 | 60 | 59 | 60 | 59 | 73 | 71 | 0 | 61 | 71 | 28 | 1,100,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 77 | 39 | 70 | 55 | 74 | 76 | 83 | 59 | 60 | 60 | 61 | 58 | 60 | 78 | 75 | 0 | 22 | 71 | 31 | 1,300,000$/2yrs | |||
![]() | 0 | C | 100.00 | 70 | 39 | 75 | 56 | 69 | 68 | 69 | 66 | 50 | 59 | 56 | 69 | 58 | 72 | 69 | 0 | 64 | 71 | 27 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 41 | 80 | 59 | 91 | 66 | 70 | 61 | 62 | 58 | 59 | 64 | 59 | 63 | 61 | 0 | 58 | 70 | 22 | 797,500$/1yrs | |||
![]() | 0 | C | 100.00 | 54 | 39 | 94 | 63 | 84 | 71 | 91 | 62 | 70 | 53 | 57 | 66 | 63 | 65 | 64 | 0 | 64 | 70 | 25 | 870,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 90 | 42 | 50 | 57 | 71 | 67 | 68 | 63 | 44 | 57 | 58 | 66 | 58 | 66 | 61 | 0 | 48 | 70 | 24 | 870,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 40 | 85 | 53 | 89 | 65 | 66 | 65 | 45 | 56 | 52 | 69 | 54 | 70 | 68 | 0 | 60 | 69 | 26 | 950,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 84 | 64 | 50 | 55 | 93 | 69 | 82 | 52 | 59 | 55 | 53 | 60 | 53 | 77 | 72 | 0 | 68 | 67 | 31 | 1,100,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 39 | 85 | 60 | 76 | 68 | 60 | 58 | 70 | 51 | 53 | 64 | 60 | 63 | 64 | 0 | 47 | 67 | 25 | 900,000$/1yrs | |||
![]() | 0 | C | 100.00 | 85 | 43 | 50 | 61 | 72 | 66 | 85 | 58 | 62 | 52 | 53 | 60 | 61 | 59 | 54 | 0 | 55 | 67 | 24 | 870,000$/2yrs | |||
![]() | 0 | D | 100.00 | 70 | 33 | 99 | 62 | 75 | 77 | 67 | 60 | 30 | 61 | 67 | 72 | 64 | 72 | 72 | 0 | 40 | 75 | 28 | 775,000$/1yrs | |||
![]() | 2 | D | 100.00 | 76 | 32 | 97 | 55 | 73 | 77 | 74 | 57 | 30 | 56 | 53 | 71 | 55 | 84 | 83 | 0 | 38 | 72 | 34 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 54 | 33 | 91 | 58 | 83 | 77 | 71 | 50 | 30 | 62 | 59 | 55 | 55 | 70 | 69 | 0 | 64 | 70 | 27 | 825,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 36 | 88 | 55 | 82 | 79 | 79 | 50 | 30 | 57 | 56 | 61 | 53 | 63 | 62 | 0 | 64 | 69 | 23 | 916,667$/1yrs | |||
![]() | 56 | LWD | 100.00 | 77 | 64 | 52 | 55 | 94 | 64 | 76 | 51 | 65 | 52 | 54 | 56 | 53 | 77 | 72 | 0 | 65 | 67 | 31 | 1,150,000$/3yrs | |||
![]() | 0 | D | 100.00 | 66 | 41 | 81 | 47 | 94 | 62 | 66 | 47 | 30 | 53 | 52 | 66 | 52 | 64 | 62 | 0 | 62 | 66 | 23 | 950,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 79 | 38 | 84 | 58 | 92 | 71 | 75 | 56 | 55 | 56 | 62 | 60 | 59 | 65 | 64 | 0 | 46 | 70 | 24 | 846,667$/1yrs | |||
![]() | 0 | RW | 100.00 | 81 | 42 | 57 | 53 | 76 | 64 | 67 | 64 | 39 | 55 | 53 | 68 | 54 | 68 | 64 | 0 | 24 | 69 | 25 | ||||
![]() | 0 | LW | 100.00 | 77 | 42 | 64 | 51 | 84 | 63 | 66 | 64 | 49 | 51 | 53 | 68 | 52 | 68 | 64 | 0 | 24 | 68 | 26 | ||||
![]() | 0 | C | 100.00 | 61 | 39 | 90 | 52 | 85 | 63 | 66 | 63 | 61 | 53 | 53 | 67 | 53 | 66 | 65 | 0 | 24 | 68 | 25 | 825,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 62 | 39 | 88 | 55 | 82 | 63 | 69 | 61 | 41 | 53 | 56 | 65 | 54 | 63 | 61 | 0 | 24 | 68 | 23 | 859,167$/1yrs | |||
![]() | 0 | RW | 100.00 | 65 | 40 | 82 | 55 | 84 | 64 | 69 | 61 | 47 | 53 | 56 | 64 | 55 | 63 | 61 | 0 | 24 | 68 | 23 | 870,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 39 | 88 | 51 | 84 | 62 | 79 | 63 | 50 | 50 | 53 | 67 | 51 | 66 | 65 | 0 | 24 | 67 | 26 | ||||
![]() | 0 | RW | 100.00 | 88 | 44 | 50 | 52 | 87 | 62 | 66 | 62 | 43 | 52 | 51 | 65 | 52 | 63 | 58 | 0 | 24 | 67 | 22 | 858,333$/2yrs | |||
![]() | 0 | LW | 100.00 | 65 | 38 | 84 | 53 | 66 | 62 | 83 | 61 | 70 | 51 | 54 | 64 | 53 | 63 | 61 | 0 | 23 | 66 | 24 | 900,000$/2yrs | |||
![]() | 18 | RW | 100.00 | 84 | 45 | 67 | 57 | 93 | 71 | 60 | 58 | 56 | 49 | 46 | 59 | 55 | 62 | 64 | 0 | 24 | 65 | 24 | 900,000$/1yrs | |||
![]() | 31 | C | 100.00 | 61 | 38 | 89 | 48 | 69 | 59 | 68 | 63 | 71 | 48 | 47 | 66 | 47 | 64 | 63 | 0 | 24 | 64 | 25 | ||||
![]() | 0 | C | 100.00 | 61 | 38 | 89 | 49 | 74 | 59 | 71 | 61 | 64 | 47 | 49 | 64 | 48 | 61 | 59 | 0 | 24 | 64 | 23 | 836,667$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 33 | 92 | 55 | 84 | 75 | 76 | 52 | 30 | 58 | 54 | 58 | 53 | 69 | 68 | 0 | 23 | 69 | 26 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 40 | 71 | 51 | 76 | 64 | 84 | 49 | 30 | 56 | 50 | 67 | 53 | 68 | 65 | 0 | 24 | 67 | 28 | ||||
![]() | 5 | D | 100.00 | 69 | 41 | 76 | 48 | 85 | 63 | 66 | 48 | 30 | 54 | 51 | 68 | 52 | 68 | 65 | 0 | 24 | 66 | 25 | 800,000$/2yrs | |||
![]() | 56 | D | 100.00 | 86 | 33 | 93 | 55 | 81 | 72 | 69 | 50 | 30 | 50 | 50 | 53 | 50 | 68 | 67 | 0 | 24 | 66 | 26 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 75 | 94 | 70 | 82 | 66 | 73 | 75 | 75 | 73 | 72 | 74 | 64 | 73 | 0 | 57 | 79 | 24 | 850,000$/1yrs |
![]() | 0 | 100.00 | 75 | 69 | 72 | 94 | 57 | 76 | 75 | 75 | 76 | 76 | 76 | 64 | 67 | 0 | 63 | 78 | 25 | 950,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 78 | 66 | 75 | 77 | 83 | 79 | 80 | 78 | 79 | 77 | 79 | 69 | 69 | 0 | 24 | 80 | 27 | |
![]() | 0 | 100.00 | 69 | 73 | 66 | 81 | 60 | 72 | 69 | 69 | 72 | 72 | 70 | 63 | 71 | 0 | 24 | 74 | 24 | 870,000$/2yrs |
![]() | 0 | 100.00 | 69 | 62 | 68 | 81 | 64 | 74 | 71 | 69 | 74 | 72 | 71 | 69 | 68 | 0 | 24 | 74 | 25 | 870,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dominique Ducharme | 79 | 74 | 73 | 78 | 73 | 68 | 77 | CAN | 51 | 5 | 1,000,000$ |
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 | Dennis Cholowski | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 21.98 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
2 | Nicolas Aube-Kubel | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
3 | Chad Ruhwedel | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 1 | 18.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
4 | Joey Anderson | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 1 | 2 | 0.00% | 0 | 20.15 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
5 | Kurtis MacDermid | LW/D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 1 | 0 | 1 | 0.00% | 1 | 20.55 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
6 | Nick Cousins | C/LW/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 1 | 22.10 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
7 | Riley Tufte | LW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 1 | 0 | 2 | 0.00% | 0 | 21.05 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
8 | Ross Johnston | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 1 | 0.00% | 0 | 13.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Oscar Eklind | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Owen Sillinger | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 0.00% | 0 | 13.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22.22% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Louie Belpedio | D | 1 | 0 | 0 | 0 | -2 | 2 | 0 | 5 | 1 | 0 | 0 | 0.00% | 4 | 20.48 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Jack Finley | C | 1 | 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 | ||
13 | Jakob Pivonka | C | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 17.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Tyler Kleven | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 1 | 20.45 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Cam Thiesing | C | 1 | 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 | ||
16 | Jaxson Nelson | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 21.82 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 46.15% | 26 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Mikulas Hovorka | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 0.00% | 1 | 17.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Oliver Okuliar | LW | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 4 | 0 | 2 | 1 | 0.00% | 0 | 18.30 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Marcus Sylvegard | LW/RW | 1 | 0 | 0 | 0 | -3 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 1 | 23.55 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 26.32% | 19 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 19 | 0 | 0 | 0 | -15 | 8 | 0 | 30 | 13 | 8 | 13 | 0.00% | 10 | 15.47 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 21 | 0 | 0 | 39.73% | 73 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
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 | Nikita Tolopilo | 1 | 0 | 1 | 0 | 0.733 | 7.27 | 33 | 0 | 0 | 4 | 15 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
2 | Benjamin Kraws | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 26 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 0.000 | 0 | 0 | 1 | 0 | 0 | 0 | |
Team Total or Average | 2 | 0 | 1 | 0 | 0.867 | 4.00 | 60 | 0 | 0 | 4 | 30 | 0 | 0 | 0 | 0.000 | 0 | 1 | 1 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Edstrom | C | 24 | 846,667$ | 846,667$ | |||||||
Benjamin Kraws | G | 24 | 850,000$ | 850,000$ | |||||||
Bogdan Trineyev | RW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Cam Morrison | C | 26 | 0$ | ||||||||
Cam Thiesing | C | 24 | 870,000$ | 870,000$ | 870,000$ | ||||||
Cameron Butler | RW | 22 | 858,333$ | 858,333$ | 858,333$ | RFA | |||||
Cameron Crotty | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Chad Ruhwedel | D | 34 | 775,000$ | 775,000$ | UFA | ||||||
Curtis Hall | C | 25 | 825,000$ | 825,000$ | 825,000$ | ||||||
Dennis Cholowski | D | 27 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Ilya Nikolayev | C | 23 | 836,667$ | 836,667$ | RFA | ||||||
Isaac Ratcliffe | LW | 26 | 0$ | ||||||||
Jack Finley | C | 22 | 797,500$ | 797,500$ | RFA | ||||||
Jacob Larsson | D | 28 | 0$ | UFA | |||||||
Jacob Moverare | D | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jakob Pivonka | C | 25 | 900,000$ | 900,000$ | |||||||
Jaxson Nelson | C | 25 | 870,000$ | 870,000$ | |||||||
Joey Anderson | RW | 26 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Kurtis MacDermid | LW/D | 31 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | ||||
Kyle McDonald | RW | 23 | 870,000$ | 870,000$ | 870,000$ | ||||||
Louie Belpedio | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Marcus Sylvegard | LW/RW | 25 | 870,000$ | 870,000$ | |||||||
Markus Niemelainen | D | 26 | 0$ | ||||||||
Michael Bullion | G | 27 | 0$ | UFA | |||||||
Mikulas Hovorka | D | 23 | 950,000$ | 950,000$ | 950,000$ | ||||||
Nick Cousins | C/LW/RW | 31 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Nicolas Aube-Kubel | RW | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Nikita Tolopilo | G | 25 | 950,000$ | 950,000$ | |||||||
Nikita Tolopilo | G | 25 | 950,000$ | 950,000$ | |||||||
Oliver Okuliar | LW | 24 | 870,000$ | 870,000$ | |||||||
Oscar Eklind | C/LW | 26 | 950,000$ | 950,000$ | |||||||
Owen Sillinger | C | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Riley Tufte | LW | 27 | 850,000$ | 850,000$ | UFA | ||||||
Ross Johnston | LW | 31 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Sam Hentges | C | 25 | 0$ | ||||||||
Serron Noel | RW | 24 | 900,000$ | 900,000$ | |||||||
Tyce Thompson | RW | 25 | 0$ | ||||||||
Tyler Angle | LW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Tyler Kleven | D | 23 | 916,667$ | 916,667$ | RFA | ||||||
Victor Ostman | G | 24 | 870,000$ | 870,000$ | 870,000$ | ||||||
Waltteri Ignatjew | G | 25 | 870,000$ | 870,000$ |
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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 |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 6 | 2 | 0 | 30 | 10 | 8 | 30 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 9 | 23 | 39.13% | 13 | 35 | 37.14% | 7 | 15 | 46.67% | 21 | 13 | 23 | 7 | 14 | 7 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 6 | 2 | 0 | 30 | 10 | 8 | 30 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 9 | 23 | 39.13% | 13 | 35 | 37.14% | 7 | 15 | 46.67% | 21 | 13 | 23 | 7 | 14 | 7 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 6 | 2 | 0 | 30 | 10 | 8 | 30 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 9 | 23 | 39.13% | 13 | 35 | 37.14% | 7 | 15 | 46.67% | 21 | 13 | 23 | 7 | 14 | 7 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 6 | 2 | 0 | 30 | 10 | 8 | 30 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 9 | 23 | 39.13% | 13 | 35 | 37.14% | 7 | 15 | 46.67% | 21 | 13 | 23 | 7 | 14 | 7 | 0.0% | 0.0% | 86.7% | 86.7 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 14 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 23 |
Neutral Zone Start | 15 |
Defensive Zone Start | 35 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 29 |
Faceoffs Lost | 44 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 5.0 | 9.57 |
2nd Period | 11.0 | 20.31 |
3rd Period | 13.0 | 30.68 |
Overtime | 13.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 0 |
PK Attempt | 4 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 13.0 |
Shots Against | 30.0 |
Goals For | 0.0 |
Goals Against | 4.0 |
Hits | 30.0 |
Shots Blocked | 10.0 |
Pim | 8.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-01 | @ | Penguins0,Thunderbirds4 | RECAP | |||||||||||
2025-05-03 | @ | |||||||||||||
2025-05-05 | @ | |||||||||||||
2025-05-07 | @ | |||||||||||||
2025-05-09 | @ | |||||||||||||
2025-05-11 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,958,001$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Wilkes-Barre/Scranton | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,958,001$ | 2,958,001$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 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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