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Full Scoreboard »» |
Wilkes-Barre/Scranton Penguins 10-7-2, 22pts · 9th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Oscar Eklind | 0 | C/LW | 98.00 | 92 | 43 | 55 | 61 | 85 | 70 | 88 | 62 | 50 | 58 | 66 | 67 | 62 | 66 | 62 | 0 | 41 | 73 | 26 | 950,000$/1yrs | |||
Joey Anderson | 0 | RW | 100.00 | 66 | 33 | 96 | 61 | 80 | 77 | 79 | 60 | 55 | 61 | 62 | 66 | 61 | 68 | 68 | 0 | 44 | 72 | 26 | 900,000$/2yrs | |||
Nicolas Aube-Kubel | 0 | RW | 98.00 | 83 | 40 | 81 | 55 | 80 | 75 | 83 | 59 | 59 | 61 | 60 | 59 | 59 | 72 | 70 | 0 | 44 | 71 | 28 | 1,100,000$/2yrs | |||
Riley Tufte | 24 | LW | 99.00 | 82 | 43 | 55 | 58 | 94 | 67 | 86 | 63 | 41 | 55 | 61 | 65 | 58 | 66 | 62 | 0 | 46 | 71 | 26 | 850,000$/1yrs | |||
Jaxson Nelson | 0 | C | 100.00 | 54 | 39 | 94 | 63 | 84 | 71 | 91 | 62 | 70 | 53 | 57 | 66 | 63 | 65 | 64 | 0 | 46 | 70 | 24 | 870,000$/1yrs | |||
Owen Sillinger | 0 | C | 100.00 | 73 | 40 | 70 | 54 | 69 | 65 | 90 | 64 | 67 | 58 | 53 | 67 | 55 | 68 | 65 | 0 | 46 | 69 | 27 | 800,000$/2yrs | |||
Ross Johnston | 0 | LW | 100.00 | 79 | 70 | 50 | 55 | 93 | 69 | 78 | 54 | 61 | 55 | 52 | 59 | 53 | 76 | 71 | 0 | 46 | 67 | 30 | 1,100,000$/2yrs | |||
Jack Finley (R) | 0 | C | 98.00 | 68 | 41 | 77 | 55 | 92 | 63 | 86 | 59 | 68 | 53 | 55 | 62 | 54 | 59 | 57 | 0 | 46 | 67 | 22 | 797,500$/1yrs | |||
Jakob Pivonka | 0 | C | 100.00 | 62 | 39 | 85 | 60 | 76 | 68 | 60 | 58 | 70 | 51 | 53 | 64 | 60 | 63 | 64 | 0 | 46 | 67 | 24 | 900,000$/1yrs | |||
Adam Edstrom (R) | 0 | C | 100.00 | 67 | 39 | 88 | 54 | 94 | 64 | 71 | 60 | 70 | 49 | 59 | 62 | 54 | 63 | 62 | 0 | 46 | 67 | 24 | 846,667$/1yrs | |||
Cam Thiesing | 0 | C | 100.00 | 85 | 43 | 50 | 61 | 72 | 66 | 85 | 58 | 62 | 52 | 53 | 60 | 61 | 59 | 54 | 0 | 46 | 67 | 23 | 870,000$/2yrs | |||
Tyler Angle | 0 | LW | 100.00 | 65 | 38 | 84 | 53 | 66 | 62 | 83 | 61 | 70 | 51 | 54 | 64 | 53 | 63 | 61 | 0 | 23 | 66 | 24 | 900,000$/2yrs | |||
Kyle McDonald | 0 | RW | 100.00 | 63 | 40 | 86 | 55 | 84 | 62 | 75 | 59 | 36 | 51 | 56 | 63 | 53 | 59 | 58 | 0 | 47 | 66 | 22 | 870,000$/2yrs | |||
Chad Ruhwedel | 2 | D | 98.00 | 77 | 32 | 92 | 55 | 73 | 78 | 80 | 57 | 30 | 56 | 53 | 71 | 55 | 82 | 82 | 0 | 34 | 72 | 34 | 775,000$/1yrs | |||
Mikulas Hovorka (R) | 0 | D | 100.00 | 78 | 42 | 72 | 55 | 93 | 67 | 90 | 55 | 30 | 58 | 56 | 69 | 57 | 63 | 60 | 0 | 43 | 71 | 23 | 950,000$/2yrs | |||
Dennis Cholowski | 0 | D | 100.00 | 60 | 39 | 91 | 54 | 83 | 64 | 88 | 50 | 30 | 60 | 48 | 67 | 54 | 66 | 65 | 0 | 46 | 69 | 26 | 825,000$/2yrs | |||
Kurtis MacDermid | 56 | LWD | 100.00 | 77 | 63 | 52 | 55 | 94 | 66 | 79 | 54 | 62 | 56 | 55 | 59 | 54 | 75 | 71 | 0 | 46 | 69 | 30 | 1,150,000$/3yrs | |||
Tyler Kleven (R) | 0 | D | 100.00 | 76 | 33 | 90 | 55 | 82 | 81 | 90 | 50 | 30 | 54 | 50 | 65 | 50 | 62 | 61 | 0 | 46 | 68 | 22 | 916,667$/1yrs | |||
Jacob Moverare (R) | 0 | D | 100.00 | 61 | 33 | 91 | 55 | 84 | 73 | 69 | 50 | 30 | 50 | 56 | 59 | 53 | 68 | 67 | 0 | 46 | 66 | 26 | 775,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Oliver Okuliar | 0 | LW | 93.13 | 84 | 40 | 65 | 65 | 72 | 72 | 90 | 66 | 46 | 62 | 69 | 65 | 66 | 65 | 61 | 0 | 35 | 75 | 24 | 870,000$/1yrs | |||
Cam Morrison | 0 | C | 100.00 | 62 | 39 | 88 | 51 | 84 | 62 | 79 | 63 | 50 | 50 | 53 | 67 | 51 | 66 | 65 | 0 | 21 | 67 | 26 | ||||
Isaac Ratcliffe | 0 | LW | 100.00 | 78 | 42 | 62 | 50 | 85 | 61 | 85 | 63 | 37 | 50 | 51 | 66 | 50 | 64 | 60 | 0 | 21 | 66 | 25 | ||||
Tyce Thompson | 0 | RW | 100.00 | 71 | 39 | 73 | 52 | 70 | 62 | 86 | 62 | 36 | 54 | 49 | 66 | 52 | 64 | 62 | 0 | 21 | 66 | 25 | ||||
Serron Noel | 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$/1yrs | |||
Curtis Hall | 0 | C | 100.00 | 61 | 39 | 89 | 49 | 85 | 59 | 75 | 62 | 66 | 48 | 47 | 65 | 48 | 62 | 61 | 0 | 21 | 64 | 24 | 825,000$/2yrs | |||
Sam Hentges | 31 | C | 100.00 | 61 | 38 | 89 | 48 | 69 | 59 | 68 | 63 | 71 | 48 | 47 | 66 | 47 | 64 | 63 | 0 | 21 | 64 | 25 | ||||
Ilya Nikolayev (R) | 0 | C | 100.00 | 61 | 38 | 89 | 49 | 74 | 59 | 71 | 61 | 64 | 47 | 49 | 64 | 48 | 61 | 59 | 0 | 21 | 64 | 23 | 836,667$/1yrs | |||
Bogdan Trineyev (R) | 0 | RW | 100.00 | 61 | 39 | 90 | 51 | 82 | 60 | 76 | 60 | 41 | 48 | 51 | 63 | 50 | 59 | 58 | 0 | 21 | 64 | 22 | 859,167$/1yrs | |||
Cameron Butler | 0 | RW | 100.00 | 79 | 42 | 59 | 52 | 85 | 60 | 70 | 60 | 44 | 42 | 44 | 63 | 51 | 59 | 55 | 0 | 21 | 62 | 22 | 858,333$/2yrs | |||
Jacob Larsson | 0 | D | 100.00 | 72 | 40 | 71 | 51 | 76 | 64 | 84 | 49 | 30 | 56 | 50 | 67 | 53 | 68 | 65 | 0 | 21 | 67 | 27 | ||||
Markus Niemelainen | 56 | D | 100.00 | 86 | 33 | 93 | 55 | 81 | 72 | 69 | 50 | 30 | 50 | 50 | 53 | 50 | 68 | 67 | 0 | 21 | 66 | 26 | ||||
Cameron Crotty | 5 | D | 100.00 | 65 | 40 | 83 | 46 | 85 | 60 | 86 | 45 | 30 | 51 | 47 | 66 | 49 | 64 | 62 | 0 | 26 | 64 | 25 | 800,000$/2yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Benjamin Kraws | 0 | 100.00 | 75 | 94 | 70 | 82 | 66 | 73 | 75 | 75 | 73 | 72 | 74 | 64 | 73 | 0 | 40 | 79 | 24 | 850,000$/1yrs |
Nikita Tolopilo | 0 | 98.00 | 75 | 69 | 72 | 94 | 57 | 76 | 75 | 75 | 76 | 76 | 76 | 64 | 67 | 0 | 49 | 78 | 24 | 950,000$/1yrs |
Scratches | ||||||||||||||||||||
Michael Bullion | 0 | 100.00 | 78 | 66 | 75 | 77 | 83 | 79 | 80 | 78 | 79 | 77 | 79 | 69 | 69 | 0 | 30 | 80 | 27 | |
Waltteri Ignatjew | 0 | 100.00 | 71 | 84 | 68 | 80 | 68 | 71 | 72 | 71 | 71 | 70 | 72 | 66 | 75 | 0 | 32 | 76 | 24 | 870,000$/1yrs |
Victor Ostman | 0 | 100.00 | 69 | 73 | 66 | 81 | 60 | 72 | 69 | 69 | 72 | 72 | 70 | 63 | 71 | 0 | 30 | 74 | 24 | 870,000$/2yrs |
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 | Jaxson Nelson | Penguins (PIT) | C | 19 | 5 | 10 | 15 | -6 | 0 | 0 | 0 | 62 | 14 | 52 | 8.06% | 4 | 17.70 | 3 | 7 | 10 | 47 | 0 | 0 | 0 | 0 | 1 | 1 | 53.27% | 443 | 0 | 0 | 0 | 0 | 0.89 | 0 | 1 | |
2 | Nicolas Aube-Kubel | Penguins (PIT) | RW | 18 | 6 | 8 | 14 | -4 | 6 | 0 | 27 | 46 | 8 | 36 | 13.04% | 3 | 21.34 | 4 | 4 | 8 | 46 | 0 | 0 | 0 | 33 | 1 | 0 | 58.54% | 41 | 0 | 0 | 0 | 0 | 0.73 | 1 | 2 | |
3 | Riley Tufte | Penguins (PIT) | LW | 19 | 6 | 8 | 14 | -6 | 18 | 0 | 65 | 71 | 11 | 49 | 8.45% | 10 | 19.63 | 2 | 4 | 6 | 46 | 0 | 0 | 0 | 35 | 2 | 1 | 29.17% | 24 | 0 | 0 | 0 | 0 | 0.75 | 1 | 1 | |
4 | Oscar Eklind | Penguins (PIT) | C/LW | 18 | 6 | 8 | 14 | 7 | 16 | 0 | 54 | 60 | 21 | 55 | 10.00% | 3 | 19.46 | 1 | 1 | 2 | 47 | 0 | 0 | 0 | 32 | 1 | 0 | 42.66% | 429 | 0 | 0 | 0 | 0 | 0.80 | 0 | 2 | |
5 | Oliver Okuliar | Penguins (PIT) | LW | 19 | 5 | 7 | 12 | 3 | 6 | 0 | 32 | 69 | 28 | 54 | 7.25% | 6 | 20.55 | 1 | 2 | 3 | 47 | 0 | 0 | 0 | 33 | 0 | 1 | 46.15% | 104 | 0 | 0 | 1 | 0 | 0.61 | 0 | 3 | |
6 | Joey Anderson | Penguins (PIT) | RW | 18 | 5 | 6 | 11 | -3 | 0 | 0 | 4 | 80 | 21 | 50 | 6.25% | 8 | 20.73 | 2 | 2 | 4 | 36 | 0 | 0 | 0 | 33 | 2 | 1 | 48.15% | 27 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
7 | Tyler Kleven | Penguins (PIT) | D | 19 | 2 | 7 | 9 | -1 | 6 | 0 | 11 | 15 | 7 | 16 | 13.33% | 25 | 21.69 | 2 | 2 | 4 | 45 | 0 | 0 | 0 | 51 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
8 | Dennis Cholowski | Penguins (PIT) | D | 19 | 0 | 7 | 7 | -1 | 8 | 0 | 17 | 18 | 6 | 13 | 0.00% | 17 | 20.78 | 0 | 2 | 2 | 41 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
9 | Kurtis MacDermid | Penguins (PIT) | LW/D | 19 | 2 | 5 | 7 | 0 | 22 | 0 | 60 | 16 | 6 | 11 | 12.50% | 23 | 21.42 | 1 | 1 | 2 | 44 | 0 | 0 | 0 | 42 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 2 | 3 | |
10 | Owen Sillinger | Penguins (PIT) | C | 19 | 5 | 1 | 6 | -4 | 6 | 0 | 15 | 44 | 19 | 42 | 11.36% | 5 | 15.51 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 53.13% | 352 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
11 | Mikulas Hovorka | Penguins (PIT) | D | 19 | 0 | 6 | 6 | -1 | 21 | 5 | 41 | 26 | 7 | 21 | 0.00% | 26 | 21.51 | 0 | 2 | 2 | 40 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
12 | Chad Ruhwedel | Penguins (PIT) | D | 15 | 2 | 3 | 5 | -2 | 12 | 0 | 25 | 20 | 5 | 13 | 10.00% | 20 | 19.67 | 0 | 1 | 1 | 24 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
13 | Ross Johnston | Penguins (PIT) | LW | 19 | 1 | 3 | 4 | -4 | 16 | 0 | 40 | 51 | 7 | 21 | 1.96% | 0 | 15.62 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 47.37% | 19 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
14 | Adam Edstrom | Penguins (PIT) | C | 19 | 3 | 1 | 4 | 4 | 0 | 0 | 1 | 15 | 4 | 3 | 20.00% | 0 | 5.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 48.65% | 111 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
15 | Jacob Moverare | Penguins (PIT) | D | 19 | 0 | 3 | 3 | -5 | 14 | 0 | 29 | 9 | 5 | 8 | 0.00% | 13 | 16.25 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
16 | Kyle McDonald | Penguins (PIT) | RW | 16 | 0 | 2 | 2 | 0 | 0 | 0 | 2 | 30 | 10 | 26 | 0.00% | 2 | 11.55 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
17 | Jakob Pivonka | Penguins (PIT) | C | 19 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 9 | 5 | 14 | 0.00% | 1 | 2.05 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 54.05% | 37 | 0 | 0 | 0 | 0 | 0.51 | 1 | 1 | |
18 | Cameron Crotty | Penguins (PIT) | D | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 2 | 0 | 3 | 0.00% | 7 | 16.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
19 | Tyler Angle | Penguins (PIT) | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
20 | Serron Noel | Penguins (PIT) | 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 | |
21 | Jack Finley | Penguins (PIT) | C | 19 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 17 | 4 | 17 | 0.00% | 1 | 8.84 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 32 | 0 | 0 | 47.56% | 82 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
22 | Cam Thiesing | Penguins (PIT) | C | 19 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 2 | 0 | 2 | 0.00% | 1 | 1.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 35.71% | 14 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 360 | 48 | 86 | 134 | -27 | 153 | 5 | 430 | 662 | 188 | 506 | 7.25% | 175 | 15.61 | 16 | 29 | 45 | 501 | 0 | 0 | 0 | 472 | 8 | 5 | 49.00% | 1692 | 0 | 0 | 1 | 0 | 0.48 | 5 | 13 |
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 | Benjamin Kraws | Penguins (PIT) | 16 | 8 | 7 | 1 | 0.906 | 2.78 | 907 | 0 | 3 | 42 | 448 | 0 | 0 | 0 | 0.000 | 0 | 16 | 3 | 5 | 1 | 0 |
2 | Nikita Tolopilo | Penguins (PIT) | 4 | 2 | 0 | 1 | 0.941 | 2.09 | 230 | 0 | 0 | 8 | 135 | 0 | 0 | 0 | 0.714 | 14 | 3 | 14 | 0 | 1 | 0 |
3 | Waltteri Ignatjew | Penguins (PIT) | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 17 | 0 | 0 | 0 | 9 | 0 | 0 | 1 | 0.000 | 0 | 0 | 2 | 0 | 0 | 0 |
Team Total or Average | 21 | 10 | 7 | 2 | 0.916 | 2.60 | 1155 | 0 | 3 | 50 | 592 | 0 | 0 | 1 | 0.714 | 14 | 19 | 19 | 5 | 2 | 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$ | RFA | ||||||
Benjamin Kraws | G | 24 | 850,000$ | 850,000$ | RFA | ||||||
Bogdan Trineyev | RW | 22 | 859,167$ | 859,167$ | RFA | ||||||
Cam Morrison | C | 26 | 0$ | RFA | |||||||
Cam Thiesing | C | 23 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Cameron Butler | RW | 22 | 858,333$ | 858,333$ | 858,333$ | RFA | |||||
Cameron Crotty | D | 25 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Chad Ruhwedel | D | 34 | 775,000$ | 775,000$ | UFA | ||||||
Curtis Hall | C | 24 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Dennis Cholowski | D | 26 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Ilya Nikolayev | C | 23 | 836,667$ | 836,667$ | RFA | ||||||
Isaac Ratcliffe | LW | 25 | 0$ | RFA | |||||||
Jack Finley | C | 22 | 797,500$ | 797,500$ | RFA | ||||||
Jacob Larsson | D | 27 | 0$ | UFA | |||||||
Jacob Moverare | D | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jakob Pivonka | C | 24 | 900,000$ | 900,000$ | RFA | ||||||
Jaxson Nelson | C | 24 | 870,000$ | 870,000$ | RFA | ||||||
Joey Anderson | RW | 26 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Kurtis MacDermid | LW/D | 30 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | ||||
Kyle McDonald | RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Markus Niemelainen | D | 26 | 0$ | RFA | |||||||
Michael Bullion | G | 27 | 0$ | UFA | |||||||
Mikulas Hovorka | D | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Nicolas Aube-Kubel | RW | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Nikita Tolopilo | G | 24 | 950,000$ | 950,000$ | RFA | ||||||
Nikita Tolopilo | G | 24 | 950,000$ | 950,000$ | RFA | ||||||
Oliver Okuliar | LW | 24 | 870,000$ | 870,000$ | RFA | ||||||
Oscar Eklind | C/LW | 26 | 950,000$ | 950,000$ | RFA | ||||||
Owen Sillinger | C | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Riley Tufte | LW | 26 | 850,000$ | 850,000$ | RFA | ||||||
Ross Johnston | LW | 30 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Sam Hentges | C | 25 | 0$ | RFA | |||||||
Serron Noel | RW | 24 | 900,000$ | 900,000$ | RFA | ||||||
Tyce Thompson | RW | 25 | 0$ | RFA | |||||||
Tyler Angle | LW | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Tyler Kleven | D | 22 | 916,667$ | 916,667$ | RFA | ||||||
Victor Ostman | G | 24 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Waltteri Ignatjew | G | 24 | 870,000$ | 870,000$ | 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 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 17 | 14 | 17 | 5 | 52 | 222 | 194 | 235 | 24 | 53 | 11 | 6 | 41 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 0.0% | 3.8% | 94.3% | 98.2 | DULL |
2 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 17 | 14 | 17 | 5 | 33 | 222 | 194 | 235 | 24 | 32 | 15 | 8 | 17 | 3 | 2 | 66.67% | 4 | 1 | 75.00% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 100.0% | 9.1% | 96.9% | 106.0 | LUCKY |
3 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 17 | 14 | 17 | 5 | 19 | 222 | 194 | 235 | 24 | 26 | 8 | 6 | 23 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 100.0% | 10.5% | 100.0% | 110.5 | LUCKY |
4 | Wolf Pack | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 17 | 14 | 17 | 5 | 72 | 222 | 194 | 235 | 24 | 45 | 16 | 14 | 41 | 12 | 3 | 25.00% | 7 | 0 | 100.00% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 71.4% | 11.1% | 95.6% | 106.7 | LUCKY |
5 | Bears | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 17 | 14 | 17 | 5 | 24 | 222 | 194 | 235 | 24 | 34 | 4 | 12 | 21 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 33.3% | 4.2% | 94.1% | 98.3 | DULL |
6 | Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 17 | 14 | 17 | 5 | 65 | 222 | 194 | 235 | 24 | 55 | 20 | 10 | 48 | 9 | 3 | 33.33% | 4 | 1 | 75.00% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 33.3% | 9.2% | 87.3% | 96.5 | FUN |
7 | Thunderbirds | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.333 | 4 | 7 | 11 | 0 | 0 | 17 | 14 | 17 | 5 | 96 | 222 | 194 | 235 | 24 | 97 | 43 | 20 | 76 | 10 | 1 | 10.00% | 9 | 1 | 88.89% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 30.0% | 4.2% | 91.8% | 95.9 | DULL |
8 | Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 17 | 14 | 17 | 5 | 47 | 222 | 194 | 235 | 24 | 32 | 5 | 11 | 18 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 25.0% | 8.5% | 81.3% | 89.8 | Unlucky |
9 | Americans | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 1 | 0 | 17 | 14 | 17 | 5 | 81 | 222 | 194 | 235 | 24 | 75 | 17 | 28 | 42 | 3 | 0 | 0.00% | 14 | 3 | 78.57% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 58.3% | 8.6% | 89.3% | 98.0 | Unlucky |
10 | Checkers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 17 | 14 | 17 | 5 | 53 | 222 | 194 | 235 | 24 | 44 | 13 | 6 | 27 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 14.3% | 5.7% | 84.1% | 89.8 | Unlucky |
11 | Barracuda | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 17 | 14 | 17 | 5 | 30 | 222 | 194 | 235 | 24 | 34 | 8 | 12 | 21 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 60.0% | 10.0% | 88.2% | 98.2 | FUN |
12 | Firebirds | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 17 | 14 | 17 | 5 | 90 | 222 | 194 | 235 | 24 | 66 | 15 | 20 | 55 | 7 | 1 | 14.29% | 10 | 4 | 60.00% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 100.0% | 7.8% | 93.9% | 101.7 | DULL |
_Vs Division | 6 | 5 | 5 | 0 | 0 | 1 | 0 | 0 | 20 | 28 | -8 | 11 | 0.917 | 20 | 34 | 54 | 1 | 0 | 17 | 14 | 17 | 5 | 246 | 222 | 194 | 235 | 24 | 206 | 55 | 55 | 135 | 19 | 7 | 36.84% | 23 | 5 | 78.26% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 36.1% | 8.1% | 86.4% | 94.5 | Unlucky | |
_Vs Conference | 16 | 7 | 7 | 0 | 0 | 1 | 1 | 0 | 40 | 44 | -4 | 17 | 0.531 | 40 | 70 | 110 | 1 | 3 | 17 | 14 | 17 | 5 | 542 | 222 | 194 | 235 | 24 | 493 | 152 | 121 | 354 | 54 | 15 | 27.78% | 54 | 7 | 87.04% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 40.3% | 7.4% | 91.1% | 98.5 | Unlucky | |
_Since Last GM Reset | 19 | 8 | 7 | 0 | 0 | 1 | 2 | 1 | 50 | 52 | -2 | 22 | 0.579 | 50 | 86 | 136 | 1 | 3 | 17 | 14 | 17 | 5 | 662 | 222 | 194 | 235 | 24 | 593 | 175 | 153 | 430 | 63 | 16 | 25.40% | 70 | 13 | 81.43% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 46.6% | 7.6% | 91.2% | 98.8 | DULL | |
Total | 19 | 8 | 7 | 0 | 0 | 1 | 2 | 1 | 50 | 52 | -2 | 22 | 0.579 | 50 | 86 | 136 | 1 | 3 | 17 | 14 | 17 | 5 | 662 | 222 | 194 | 235 | 24 | 593 | 175 | 153 | 430 | 63 | 16 | 25.40% | 70 | 13 | 81.43% | 0 | 361 | 705 | 51.21% | 339 | 686 | 49.42% | 129 | 272 | 47.43% | 449 | 300 | 451 | 147 | 254 | 127 | 46.6% | 7.6% | 91.2% | 98.8 | DULL |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 705 |
Neutral Zone Start | 272 |
Defensive Zone Start | 686 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 829 |
Faceoffs Lost | 834 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.7 | 9.57 |
2nd Period | 21.9 | 20.31 |
3rd Period | 34.3 | 30.68 |
Overtime | 35.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 33 |
---|---|
PP Goal | 16 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 6 |
Lost | 4 | 3 |
Overtime Lost | 2 | 0 |
PP Attempt | 63 |
---|---|
PP Goal | 16 |
PK Attempt | 70 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 34.8 |
Shots Against | 31.2 |
Goals For | 2.6 |
Goals Against | 2.7 |
Hits | 22.6 |
Shots Blocked | 9.2 |
Pim | 8.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-09 | Thunderbirds | @ | Penguins | Thunderbirds1,Penguins2 | RECAP | |||||||||
2024-10-11 | Bruins | @ | Penguins | Bruins6,Penguins4 | RECAP | |||||||||
2024-10-12 | Penguins | @ | Phantoms | Penguins2,Phantoms0 | RECAP | |||||||||
2024-10-16 | Crunch | @ | Penguins | Crunch2,Penguins3 | RECAP | |||||||||
2024-10-19 | Penguins | @ | Wolf Pack | Penguins5,Wolf Pack0 | RECAP | |||||||||
2024-10-21 | Penguins | @ | Phantoms | Penguins0,Phantoms3 | RECAP | |||||||||
2024-10-24 | Thunderbirds | @ | Penguins | Thunderbirds3,Penguins1 | RECAP | |||||||||
2024-10-27 | Islanders | @ | Penguins | Islanders0,Penguins2 | RECAP | |||||||||
2024-10-30 | Penguins | @ | Wolf Pack | Penguins3,Wolf Pack2 | RECAP | |||||||||
2024-10-31 | Bears | @ | Penguins | Bears2,Penguins1 (OT) | RECAP | |||||||||
2024-11-02 | Crunch | @ | Penguins | Crunch5,Penguins3 | RECAP | |||||||||
2024-11-04 | Penguins | @ | Firebirds | Penguins5,Firebirds3 | RECAP | |||||||||
2024-11-06 | Penguins | @ | Thunderbirds | Penguins1,Thunderbirds4 | RECAP | |||||||||
2024-11-07 | Penguins | @ | Checkers | Penguins3,Checkers7 | RECAP | |||||||||
2024-11-11 | Barracuda | @ | Penguins | Barracuda4,Penguins3 (SO) | RECAP | |||||||||
2024-11-13 | Firebirds | @ | Penguins | Firebirds1,Penguins2 (SO) | RECAP | |||||||||
2024-11-14 | Penguins | @ | Americans | Penguins4,Americans3 (SO) | RECAP | |||||||||
2024-11-16 | Americans | @ | Penguins | Americans5,Penguins3 | RECAP | |||||||||
2024-11-17 | Penguins | @ | Comets | Penguins3,Comets1 | RECAP | |||||||||
2024-11-22 | Penguins | @ | Phantoms | |||||||||||
2024-11-23 | Checkers | @ | Penguins | |||||||||||
2024-11-25 | Phantoms | @ | Penguins | |||||||||||
2024-11-27 | Penguins | @ | Wolf Pack | |||||||||||
2024-11-29 | Monsters | @ | Penguins | |||||||||||
2024-12-04 | Penguins | @ | Bears | |||||||||||
2024-12-05 | Silver Knights | @ | Penguins | |||||||||||
2024-12-11 | Comets | @ | Penguins | |||||||||||
2024-12-13 | Penguins | @ | Thunderbirds | |||||||||||
2024-12-16 | Senators | @ | Penguins | |||||||||||
2024-12-21 | Penguins | @ | Marlies | |||||||||||
2024-12-23 | Penguins | @ | Crunch | |||||||||||
2024-12-25 | Americans | @ | Penguins | |||||||||||
2024-12-27 | Penguins | @ | Islanders | |||||||||||
2024-12-28 | Condors | @ | Penguins | |||||||||||
2025-01-02 | Marlies | @ | Penguins | |||||||||||
2025-01-04 | Penguins | @ | Checkers | |||||||||||
2025-01-06 | Penguins | @ | Wild | |||||||||||
2025-01-07 | Phantoms | @ | Penguins | |||||||||||
2025-01-11 | Penguins | @ | Canucks | |||||||||||
2025-01-12 | Thunderbirds | @ | Penguins | |||||||||||
2025-01-17 | Checkers | @ | Penguins | |||||||||||
2025-01-21 | Penguins | @ | Bruins | |||||||||||
2025-01-23 | Penguins | @ | Monsters | |||||||||||
2025-01-24 | Bears | @ | Penguins | |||||||||||
2025-01-26 | Wolf Pack | @ | Penguins | |||||||||||
2025-01-29 | Penguins | @ | Bears | |||||||||||
2025-01-31 | Penguins | @ | Moose | |||||||||||
2025-02-01 | Roadrunners | @ | Penguins | |||||||||||
2025-02-04 | Penguins | @ | Canucks | |||||||||||
2025-02-06 | Wolves | @ | Penguins | |||||||||||
2025-02-09 | Penguins | @ | Islanders | |||||||||||
2025-02-11 | Bruins | @ | Penguins | |||||||||||
2025-02-12 | Penguins | @ | Griffins | |||||||||||
2025-02-15 | Penguins | @ | Bruins | |||||||||||
2025-02-16 | Crunch | @ | Penguins | |||||||||||
2025-02-20 | Griffins | @ | Penguins | |||||||||||
2025-02-24 | Penguins | @ | IceHogs | |||||||||||
2025-02-26 | Eagles | @ | Penguins | |||||||||||
2025-02-28 | Penguins | @ | Condors | |||||||||||
2025-03-01 | Rocket | @ | Penguins | |||||||||||
2025-03-03 | Penguins | @ | Wranglers | |||||||||||
2025-03-05 | Penguins | @ | Reign | |||||||||||
2025-03-07 | Wolf Pack | @ | Penguins | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-13 | Islanders | @ | Penguins | |||||||||||
2025-03-16 | Penguins | @ | Gulls | |||||||||||
2025-03-18 | Stars | @ | Penguins | |||||||||||
2025-03-20 | Penguins | @ | Senators | |||||||||||
2025-03-22 | Penguins | @ | Rocket | |||||||||||
2025-03-23 | Penguins | @ | Firebirds | |||||||||||
2025-03-26 | Admirals | @ | Penguins | |||||||||||
2025-03-29 | Admirals | @ | Penguins | |||||||||||
2025-04-01 | Penguins | @ | IceHogs |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,576,501$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Wilkes-Barre/Scranton | |
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 |
26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,576,501$ | 2,576,501$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
917,209$ | 14,157$ | 664,483$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 150 | 19,651$ | 2,672,536$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,672,536$ | 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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