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Wilkes-Barre/Scranton Penguins 21-44-5, 47pts · 16th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joey Anderson | 0 | RW | 99.00 | 66 | 33 | 98 | 64 | 80 | 75 | 76 | 66 | 55 | 68 | 67 | 72 | 66 | 68 | 68 | 0 | 25 | 78 | 25 | 1,000,000$/1yrs | |||
Philippe Maillet | 19 | C | 99.00 | 57 | 37 | 96 | 56 | 70 | 70 | 71 | 68 | 82 | 62 | 56 | 72 | 59 | 77 | 77 | 0 | 19 | 74 | 31 | 775,000$/1yrs | |||
Riley Tufte | 24 | LW | 100.00 | 83 | 43 | 55 | 60 | 94 | 69 | 84 | 63 | 35 | 59 | 62 | 65 | 61 | 67 | 62 | 0 | 16 | 73 | 26 | 950,000$/1yrs | |||
Jaxson Nelson | 0 | C | 100.00 | 54 | 39 | 94 | 63 | 84 | 71 | 91 | 62 | 70 | 61 | 65 | 66 | 63 | 65 | 64 | 0 | 34 | 73 | 24 | 870,000$/2yrs | |||
Isaac Ratcliffe | 0 | LW | 100.00 | 79 | 42 | 59 | 56 | 85 | 65 | 82 | 62 | 35 | 57 | 55 | 65 | 56 | 64 | 60 | 0 | 20 | 71 | 25 | 975,000$/1yrs | |||
Jakob Pivonka | 0 | C | 100.00 | 62 | 39 | 85 | 60 | 76 | 68 | 60 | 58 | 70 | 59 | 61 | 64 | 60 | 63 | 64 | 0 | 13 | 71 | 24 | 900,000$/2yrs | |||
Cam Morrison | 0 | C | 100.00 | 64 | 40 | 85 | 55 | 84 | 65 | 78 | 63 | 41 | 56 | 56 | 66 | 56 | 66 | 65 | 0 | 20 | 70 | 25 | 975,000$/1yrs | |||
Cole Schwindt | 0 | C/RW | 100.00 | 63 | 39 | 86 | 58 | 79 | 65 | 89 | 60 | 69 | 58 | 56 | 63 | 57 | 61 | 60 | 0 | 21 | 70 | 22 | 855,833$/1yrs | |||
Serron Noel | 18 | RW | 100.00 | 84 | 45 | 67 | 57 | 93 | 71 | 60 | 58 | 56 | 57 | 54 | 59 | 55 | 62 | 64 | 0 | 18 | 70 | 23 | 900,000$/2yrs | |||
Sam Hentges | 31 | C | 100.00 | 64 | 38 | 89 | 58 | 69 | 66 | 60 | 56 | 71 | 59 | 56 | 65 | 58 | 65 | 66 | 0 | 21 | 70 | 24 | 855,000$/1yrs | |||
Kyle McDonald | 0 | RW | 100.00 | 59 | 39 | 92 | 59 | 84 | 66 | 70 | 59 | 42 | 54 | 62 | 62 | 58 | 59 | 58 | 0 | 17 | 70 | 22 | 870,000$/3yrs | |||
Cam Thiesing | 0 | C | 100.00 | 85 | 43 | 50 | 61 | 72 | 66 | 85 | 58 | 62 | 60 | 61 | 60 | 61 | 59 | 54 | 0 | 34 | 69 | 23 | 870,000$/3yrs | |||
Shakir Mukhamadullin (R) | 0 | D | 100.00 | 63 | 39 | 87 | 61 | 79 | 68 | 74 | 57 | 30 | 68 | 54 | 63 | 61 | 59 | 58 | 0 | 15 | 73 | 22 | 894,167$/2yrs | |||
Dennis Cholowski | 0 | D | 100.00 | 60 | 39 | 90 | 59 | 83 | 67 | 88 | 54 | 30 | 65 | 51 | 67 | 58 | 66 | 65 | 0 | 25 | 72 | 26 | 1,150,000$/1yrs | |||
Tyler Kleven (R) | 0 | D | 100.00 | 73 | 38 | 76 | 58 | 82 | 70 | 68 | 55 | 30 | 65 | 51 | 63 | 55 | 60 | 58 | 0 | 25 | 72 | 22 | 916,667$/2yrs | |||
Markus Niemelainen | 56 | D | 100.00 | 86 | 33 | 93 | 55 | 81 | 72 | 70 | 50 | 30 | 50 | 50 | 61 | 50 | 67 | 66 | 0 | 17 | 69 | 25 | 900,000$/1yrs | |||
Jacob Larsson | 0 | D | 100.00 | 72 | 40 | 70 | 51 | 76 | 66 | 82 | 49 | 30 | 55 | 52 | 67 | 54 | 68 | 65 | 0 | 17 | 68 | 26 | 1,000,000$/1yrs | |||
Cameron Crotty | 5 | D | 100.00 | 65 | 40 | 83 | 50 | 85 | 63 | 88 | 48 | 30 | 55 | 50 | 66 | 53 | 64 | 63 | 0 | 17 | 67 | 24 | 950,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Adam Edstrom (R) | 0 | C | 100.00 | 66 | 41 | 82 | 58 | 95 | 65 | 71 | 61 | 63 | 52 | 63 | 64 | 58 | 63 | 61 | 0 | 20 | 71 | 23 | ||||
Tyce Thompson | 0 | RW | 94.46 | 67 | 39 | 79 | 56 | 70 | 66 | 84 | 62 | 49 | 60 | 53 | 65 | 56 | 64 | 62 | 0 | 13 | 70 | 24 | 950,000$/1yrs | |||
Tyler Angle | 0 | LW | 100.00 | 65 | 38 | 83 | 56 | 66 | 64 | 84 | 61 | 70 | 55 | 56 | 64 | 56 | 63 | 61 | 0 | 26 | 69 | 23 | 850,833$/1yrs | |||
Jack Finley (R) | 0 | C | 100.00 | 69 | 41 | 76 | 56 | 92 | 63 | 84 | 59 | 62 | 54 | 56 | 62 | 55 | 59 | 57 | 0 | 26 | 69 | 21 | 797,500$/2yrs | |||
Curtis Hall | 0 | C | 100.00 | 61 | 39 | 89 | 54 | 85 | 63 | 77 | 61 | 72 | 54 | 52 | 65 | 53 | 63 | 61 | 0 | 20 | 68 | 23 | 925,000$/1yrs | |||
Ilya Nikolayev (R) | 0 | C | 100.00 | 60 | 38 | 91 | 54 | 74 | 63 | 69 | 60 | 71 | 53 | 54 | 64 | 54 | 61 | 60 | 0 | 19 | 68 | 22 | 836,667$/2yrs | |||
Bogdan Trineyev (R) | 0 | RW | 100.00 | 60 | 39 | 91 | 55 | 82 | 62 | 71 | 59 | 49 | 54 | 54 | 63 | 54 | 59 | 58 | 0 | 20 | 68 | 22 | 859,167$/2yrs | |||
Cameron Butler | 0 | RW | 100.00 | 79 | 42 | 59 | 52 | 85 | 60 | 70 | 60 | 44 | 50 | 52 | 63 | 51 | 59 | 55 | 0 | 19 | 67 | 21 | 858,333$/3yrs | |||
Jacob Moverare (R) | 0 | D | 95.46 | 66 | 40 | 82 | 54 | 84 | 67 | 83 | 52 | 30 | 59 | 52 | 68 | 56 | 66 | 64 | 0 | 15 | 70 | 25 | 900,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michael Bullion | 0 | 100.00 | 78 | 66 | 75 | 77 | 83 | 79 | 80 | 78 | 79 | 77 | 79 | 69 | 69 | 0 | 37 | 81 | 26 | 775,000$/1yrs |
Nikita Tolopilo | 0 | 100.00 | 75 | 69 | 72 | 94 | 57 | 76 | 75 | 75 | 76 | 76 | 76 | 64 | 67 | 0 | 31 | 78 | 24 | 950,000$/2yrs |
Scratches | ||||||||||||||||||||
Benjamin Kraws | 0 | 99.00 | 75 | 94 | 70 | 82 | 66 | 73 | 75 | 75 | 73 | 72 | 74 | 64 | 73 | 0 | 37 | 79 | 23 | 850,000$/2yrs |
Victor Ostman | 0 | 100.00 | 69 | 73 | 66 | 81 | 60 | 72 | 69 | 69 | 72 | 72 | 70 | 63 | 71 | 0 | 38 | 74 | 23 | 870,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dominique Ducharme | 79 | 74 | 73 | 78 | 73 | 68 | 77 | CAN | 50 | 1 | 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 | Joey Anderson | Penguins (PIT) | RW | 61 | 21 | 14 | 35 | -7 | 4 | 0 | 23 | 197 | 42 | 116 | 10.66% | 16 | 19.24 | 5 | 1 | 6 | 102 | 0 | 0 | 0 | 73 | 3 | 2 | 39.07% | 627 | 0 | 0 | 0 | 0 | 0.60 | 0 | 7 | |
2 | Tyler Kleven | Penguins (PIT) | D | 70 | 5 | 22 | 27 | -11 | 60 | 0 | 122 | 75 | 18 | 43 | 6.67% | 72 | 20.31 | 4 | 11 | 15 | 185 | 0 | 0 | 0 | 182 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
3 | Cole Schwindt | Penguins (PIT) | C/RW | 70 | 11 | 15 | 26 | -16 | 4 | 0 | 22 | 148 | 39 | 85 | 7.43% | 13 | 17.80 | 3 | 5 | 8 | 158 | 2 | 0 | 2 | 150 | 4 | 0 | 52.96% | 1116 | 0 | 0 | 0 | 0 | 0.42 | 1 | 3 | |
4 | Riley Tufte | Penguins (PIT) | LW | 68 | 12 | 13 | 25 | -3 | 146 | 30 | 246 | 179 | 40 | 110 | 6.70% | 12 | 18.78 | 2 | 4 | 6 | 168 | 0 | 0 | 0 | 119 | 0 | 1 | 35.48% | 217 | 0 | 0 | 0 | 0 | 0.39 | 1 | 4 | |
5 | Shakir Mukhamadullin | Penguins (PIT) | D | 66 | 3 | 19 | 22 | -25 | 18 | 0 | 77 | 64 | 22 | 52 | 4.69% | 77 | 21.06 | 1 | 5 | 6 | 128 | 0 | 0 | 0 | 133 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
6 | Kyle McDonald | Penguins (PIT) | RW | 69 | 10 | 12 | 22 | -24 | 22 | 0 | 55 | 133 | 39 | 89 | 7.52% | 10 | 15.89 | 0 | 3 | 3 | 76 | 0 | 0 | 0 | 60 | 1 | 0 | 39.09% | 660 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
7 | Dennis Cholowski | Penguins (PIT) | D | 68 | 2 | 16 | 18 | -13 | 54 | 0 | 79 | 70 | 14 | 36 | 2.86% | 79 | 21.38 | 1 | 4 | 5 | 167 | 0 | 1 | 1 | 184 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
8 | Jacob Moverare | Penguins (PIT) | D | 67 | 5 | 13 | 18 | -9 | 46 | 0 | 100 | 58 | 13 | 32 | 8.62% | 66 | 17.80 | 2 | 2 | 4 | 76 | 0 | 1 | 1 | 124 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
9 | Cam Morrison | Penguins (PIT) | C | 70 | 8 | 9 | 17 | -23 | 2 | 0 | 14 | 101 | 29 | 83 | 7.92% | 6 | 13.68 | 1 | 2 | 3 | 114 | 0 | 0 | 0 | 26 | 1 | 0 | 44.51% | 1130 | 0 | 0 | 0 | 0 | 0.36 | 0 | 1 | |
10 | Isaac Ratcliffe | Penguins (PIT) | LW | 66 | 3 | 13 | 16 | -25 | 60 | 10 | 228 | 113 | 39 | 105 | 2.65% | 17 | 19.45 | 2 | 0 | 2 | 114 | 0 | 0 | 0 | 109 | 1 | 0 | 32.38% | 281 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
11 | Philippe Maillet | Penguins (PIT) | C | 34 | 7 | 9 | 16 | -2 | 4 | 0 | 9 | 83 | 19 | 40 | 8.43% | 8 | 20.72 | 1 | 2 | 3 | 81 | 0 | 1 | 1 | 109 | 0 | 0 | 53.30% | 803 | 0 | 0 | 0 | 0 | 0.45 | 2 | 5 | |
12 | Tyler Angle | Penguins (PIT) | LW | 61 | 9 | 4 | 13 | -3 | 6 | 0 | 23 | 62 | 24 | 52 | 14.52% | 6 | 8.66 | 2 | 2 | 4 | 63 | 0 | 0 | 0 | 63 | 2 | 1 | 60.00% | 25 | 0 | 0 | 0 | 0 | 0.49 | 0 | 1 | |
13 | Tyce Thompson | Penguins (PIT) | RW | 70 | 6 | 6 | 12 | -26 | 17 | 5 | 35 | 116 | 26 | 86 | 5.17% | 5 | 14.60 | 1 | 0 | 1 | 117 | 0 | 0 | 0 | 66 | 1 | 1 | 41.77% | 79 | 0 | 0 | 0 | 0 | 0.23 | 0 | 1 | |
14 | Jack Finley | Penguins (PIT) | C | 65 | 5 | 5 | 10 | -5 | 47 | 5 | 59 | 60 | 16 | 55 | 8.33% | 4 | 13.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 54.59% | 207 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
15 | Serron Noel | Penguins (PIT) | RW | 34 | 4 | 4 | 8 | -2 | 33 | 5 | 82 | 51 | 11 | 32 | 7.84% | 1 | 15.67 | 0 | 0 | 0 | 61 | 0 | 0 | 0 | 16 | 0 | 0 | 39.39% | 132 | 0 | 0 | 0 | 0 | 0.30 | 1 | 3 | |
16 | Jakob Pivonka | Penguins (PIT) | C | 26 | 4 | 3 | 7 | 3 | 2 | 0 | 11 | 28 | 8 | 16 | 14.29% | 1 | 9.15 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 7 | 0 | 0 | 55.81% | 129 | 0 | 0 | 0 | 0 | 0.59 | 0 | 1 | |
17 | Jacob Larsson | Penguins (PIT) | D | 45 | 1 | 4 | 5 | -5 | 16 | 0 | 40 | 15 | 3 | 6 | 6.67% | 24 | 8.07 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 26 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
18 | Ilya Nikolayev | Penguins (PIT) | C | 39 | 2 | 3 | 5 | -1 | 0 | 0 | 12 | 11 | 0 | 7 | 18.18% | 0 | 3.01 | 1 | 2 | 3 | 16 | 0 | 0 | 0 | 3 | 1 | 0 | 66.67% | 24 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
19 | Markus Niemelainen | Penguins (PIT) | D | 33 | 0 | 3 | 3 | -8 | 26 | 0 | 65 | 10 | 5 | 7 | 0.00% | 20 | 13.84 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
20 | Jaxson Nelson | Penguins (PIT) | C | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 9 | 1 | 6 | 11.11% | 2 | 16.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
21 | Cameron Crotty | Penguins (PIT) | D | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 1 | 1 | 1 | 0.00% | 6 | 18.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
22 | Curtis Hall | Penguins (PIT) | C | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
23 | Sam Hentges | Penguins (PIT) | C | 34 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.21 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
24 | Cameron Butler | Penguins (PIT) | RW | 6 | 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 | |
25 | Cam Thiesing | Penguins (PIT) | C | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1134 | 119 | 187 | 306 | -204 | 569 | 55 | 1305 | 1584 | 409 | 1059 | 7.51% | 445 | 15.38 | 26 | 44 | 70 | 1658 | 2 | 3 | 5 | 1493 | 17 | 6 | 45.90% | 5434 | 0 | 0 | 0 | 0 | 0.35 | 5 | 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 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 | Penguins (PIT) | 20 | 5 | 13 | 2 | 0.908 | 3.04 | 1165 | 6 | 1 | 59 | 640 | 0 | 0 | 1 | 0.667 | 3 | 20 | 36 | 2 | 1 | 0 |
2 | Michael Bullion | Penguins (PIT) | 5 | 1 | 3 | 1 | 0.905 | 2.95 | 305 | 0 | 0 | 15 | 158 | 0 | 0 | 0 | 0.600 | 5 | 5 | 10 | 0 | 0 | 0 |
3 | Benjamin Kraws | Penguins (PIT) | 2 | 0 | 2 | 0 | 0.938 | 2.52 | 119 | 0 | 0 | 5 | 81 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 1 | 0 | 0 |
Team Total or Average | 27 | 6 | 18 | 3 | 0.910 | 2.98 | 1589 | 6 | 1 | 79 | 879 | 0 | 0 | 1 | 0.625 | 8 | 27 | 46 | 3 | 1 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
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Adam Edstrom | C | 23 | 0$ | RFA | |||||||
Benjamin Kraws | G | 23 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Bogdan Trineyev | RW | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Cam Morrison | C | 25 | 975,000$ | 975,000$ | RFA | ||||||
Cam Thiesing | C | 23 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Cameron Butler | RW | 21 | 858,333$ | 858,333$ | 858,333$ | 858,333$ | RFA | ||||
Cameron Crotty | D | 24 | 950,000$ | 950,000$ | RFA | ||||||
Cole Schwindt | C/RW | 22 | 855,833$ | 855,833$ | RFA | ||||||
Curtis Hall | C | 23 | 925,000$ | 925,000$ | RFA | ||||||
Dennis Cholowski | D | 26 | 1,150,000$ | 1,150,000$ | RFA | ||||||
Ilya Nikolayev | C | 22 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Isaac Ratcliffe | LW | 25 | 975,000$ | 975,000$ | RFA | ||||||
Jack Finley | C | 21 | 797,500$ | 797,500$ | 797,500$ | RFA | |||||
Jacob Larsson | D | 26 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Jacob Moverare | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Jakob Pivonka | C | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Jaxson Nelson | C | 24 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Joey Anderson | RW | 25 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Kyle McDonald | RW | 22 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Markus Niemelainen | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Michael Bullion | G | 26 | 775,000$ | 775,000$ | RFA | ||||||
Nikita Tolopilo | G | 24 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Nikita Tolopilo | G | 24 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Philippe Maillet | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Riley Tufte | LW | 26 | 950,000$ | 950,000$ | RFA | ||||||
Sam Hentges | C | 24 | 855,000$ | 855,000$ | RFA | ||||||
Serron Noel | RW | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Shakir Mukhamadullin | D | 22 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Tyce Thompson | RW | 24 | 950,000$ | 950,000$ | RFA | ||||||
Tyler Angle | LW | 23 | 850,833$ | 850,833$ | RFA | ||||||
Tyler Kleven | D | 22 | 916,667$ | 916,667$ | 916,667$ | RFA | |||||
Victor Ostman | G | 23 | 870,000$ | 870,000$ | 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 |
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1 | Phantoms | 11 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 18 | 32 | -14 | 9 | 0.409 | 18 | 29 | 47 | 0 | 0 | 42 | 55 | 33 | 8 | 290 | 559 | 604 | 635 | 47 | 392 | 99 | 135 | 226 | 35 | 4 | 11.43% | 47 | 5 | 89.36% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 34.1% | 6.2% | 91.8% | 98.0 | DULL |
2 | Comets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 42 | 55 | 33 | 8 | 62 | 559 | 604 | 635 | 47 | 66 | 21 | 27 | 41 | 5 | 1 | 20.00% | 10 | 0 | 100.00% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 75.0% | 6.5% | 98.5% | 104.9 | DULL |
3 | Senators | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 42 | 55 | 33 | 8 | 55 | 559 | 604 | 635 | 47 | 60 | 18 | 33 | 39 | 6 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 50.0% | 7.3% | 90.0% | 97.3 | Unlucky |
4 | Islanders | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 0.750 | 12 | 21 | 33 | 0 | 0 | 42 | 55 | 33 | 8 | 96 | 559 | 604 | 635 | 47 | 141 | 32 | 26 | 100 | 15 | 2 | 13.33% | 12 | 2 | 83.33% | 1 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 62.5% | 12.5% | 94.3% | 106.8 | LUCKY |
5 | Wolf Pack | 5 | 0 | 2 | 0 | 0 | 0 | 1 | 2 | 11 | 18 | -7 | 4 | 0.400 | 11 | 19 | 30 | 0 | 0 | 42 | 55 | 33 | 8 | 148 | 559 | 604 | 635 | 47 | 174 | 31 | 43 | 118 | 12 | 1 | 8.33% | 19 | 4 | 78.95% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 41.7% | 7.4% | 89.7% | 97.1 | Unlucky |
6 | Rocket | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 42 | 55 | 33 | 8 | 47 | 559 | 604 | 635 | 47 | 59 | 16 | 14 | 43 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 37.5% | 8.5% | 88.1% | 96.6 | Unlucky |
7 | Bears | 12 | 3 | 8 | 0 | 0 | 0 | 0 | 1 | 24 | 33 | -9 | 7 | 0.292 | 24 | 42 | 66 | 0 | 0 | 42 | 55 | 33 | 8 | 346 | 559 | 604 | 635 | 47 | 360 | 93 | 78 | 247 | 40 | 9 | 22.50% | 34 | 7 | 79.41% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 36.6% | 6.9% | 90.8% | 97.8 | Unlucky |
8 | Crunch | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 4 | 15 | -11 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 42 | 55 | 33 | 8 | 89 | 559 | 604 | 635 | 47 | 139 | 36 | 55 | 87 | 11 | 1 | 9.09% | 16 | 7 | 56.25% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 27.3% | 4.5% | 89.2% | 93.7 | Unlucky |
9 | Thunderbirds | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 4 | 0.333 | 16 | 29 | 45 | 0 | 0 | 42 | 55 | 33 | 8 | 154 | 559 | 604 | 635 | 47 | 206 | 47 | 53 | 144 | 14 | 3 | 21.43% | 23 | 4 | 82.61% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 41.9% | 10.4% | 89.3% | 99.7 | FUN |
10 | Bruins | 6 | 0 | 5 | 0 | 0 | 1 | 0 | 0 | 12 | 24 | -12 | 1 | 0.083 | 12 | 21 | 33 | 0 | 0 | 42 | 55 | 33 | 8 | 141 | 559 | 604 | 635 | 47 | 207 | 54 | 45 | 143 | 24 | 1 | 4.17% | 20 | 4 | 80.00% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 35.5% | 8.5% | 88.4% | 96.9 | Unlucky |
11 | Americans | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 42 | 55 | 33 | 8 | 48 | 559 | 604 | 635 | 47 | 66 | 22 | 22 | 51 | 6 | 1 | 16.67% | 11 | 3 | 72.73% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 33.3% | 8.3% | 86.4% | 94.7 | Unlucky |
12 | Checkers | 8 | 1 | 6 | 0 | 1 | 0 | 0 | 0 | 13 | 19 | -6 | 4 | 0.250 | 13 | 22 | 35 | 1 | 1 | 42 | 55 | 33 | 8 | 197 | 559 | 604 | 635 | 47 | 213 | 63 | 65 | 182 | 22 | 2 | 9.09% | 29 | 4 | 86.21% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 42.3% | 6.6% | 91.1% | 97.7 | Unlucky |
13 | Monsters | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 2 | 0.250 | 6 | 11 | 17 | 0 | 0 | 42 | 55 | 33 | 8 | 99 | 559 | 604 | 635 | 47 | 121 | 41 | 38 | 91 | 17 | 1 | 5.88% | 18 | 4 | 77.78% | 0 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 38.5% | 6.1% | 90.1% | 96.1 | Unlucky |
14 | Marlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 42 | 55 | 33 | 8 | 45 | 559 | 604 | 635 | 47 | 44 | 21 | 35 | 47 | 8 | 1 | 12.50% | 10 | 2 | 80.00% | 1 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 66.7% | 6.7% | 93.2% | 99.8 | DULL |
_Vs Division | 26 | 11 | 32 | 0 | 2 | 1 | 2 | 4 | 44 | 83 | -39 | 35 | 0.673 | 44 | 77 | 121 | 1 | 2 | 42 | 55 | 33 | 8 | 622 | 559 | 604 | 635 | 47 | 788 | 230 | 269 | 592 | 81 | 7 | 8.64% | 100 | 24 | 76.00% | 1 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 38.5% | 7.1% | 89.5% | 96.5 | Unlucky | |
_Vs Conference | 70 | 16 | 44 | 0 | 2 | 1 | 3 | 4 | 135 | 209 | -74 | 47 | 0.336 | 135 | 235 | 370 | 1 | 3 | 42 | 55 | 33 | 8 | 1817 | 559 | 604 | 635 | 47 | 2248 | 594 | 669 | 1559 | 219 | 28 | 12.79% | 263 | 50 | 80.99% | 2 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 40.2% | 7.4% | 90.7% | 98.1 | Unlucky | |
_Since Last GM Reset | 70 | 16 | 44 | 0 | 2 | 1 | 3 | 4 | 135 | 209 | -74 | 47 | 0.336 | 135 | 235 | 370 | 1 | 3 | 42 | 55 | 33 | 8 | 1817 | 559 | 604 | 635 | 47 | 2248 | 594 | 669 | 1559 | 219 | 28 | 12.79% | 263 | 50 | 80.99% | 2 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 40.2% | 7.4% | 90.7% | 98.1 | Unlucky | |
Total | 70 | 16 | 44 | 0 | 2 | 1 | 3 | 4 | 135 | 209 | -74 | 47 | 0.336 | 135 | 235 | 370 | 1 | 3 | 42 | 55 | 33 | 8 | 1817 | 559 | 604 | 635 | 47 | 2248 | 594 | 669 | 1559 | 219 | 28 | 12.79% | 263 | 50 | 80.99% | 2 | 1067 | 2238 | 47.68% | 1144 | 2509 | 45.60% | 488 | 1053 | 46.34% | 1585 | 1051 | 1720 | 548 | 932 | 453 | 40.2% | 7.4% | 90.7% | 98.1 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2238 |
Neutral Zone Start | 1053 |
Defensive Zone Start | 2509 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2699 |
Faceoffs Lost | 3101 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 16.6 | 20.31 |
3rd Period | 25.7 | 30.68 |
Overtime | 26.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 1.9 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 104 |
---|---|
PP Goal | 28 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 13 | 8 |
Lost | 21 | 23 |
Overtime Lost | 2 | 3 |
PP Attempt | 219 |
---|---|
PP Goal | 28 |
PK Attempt | 263 |
PK Goal Against | 50 |
Home | |
---|---|
Shots For | 26.0 |
Shots Against | 32.1 |
Goals For | 1.9 |
Goals Against | 3.0 |
Hits | 22.3 |
Shots Blocked | 8.5 |
Pim | 9.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-13 | Penguins | @ | Checkers | Penguins2,Checkers4 | RECAP | |||||||||
2023-10-14 | Penguins | @ | Checkers | Penguins1,Checkers3 | RECAP | |||||||||
2023-10-20 | Penguins | @ | Wolf Pack | Penguins0,Wolf Pack5 | RECAP | |||||||||
2023-10-21 | Thunderbirds | @ | Penguins | Thunderbirds3,Penguins1 | RECAP | |||||||||
2023-10-25 | Bears | @ | Penguins | Bears2,Penguins3 | RECAP | |||||||||
2023-10-28 | Wolf Pack | @ | Penguins | Wolf Pack5,Penguins4 (SO) | RECAP | |||||||||
2023-10-29 | Penguins | @ | Bears | Penguins1,Bears2 | RECAP | |||||||||
2023-11-01 | Bruins | @ | Penguins | Bruins3,Penguins1 | RECAP | |||||||||
2023-11-03 | Bears | @ | Penguins | Bears4,Penguins2 | RECAP | |||||||||
2023-11-04 | Senators | @ | Penguins | Senators3,Penguins4 | RECAP | |||||||||
2023-11-10 | Penguins | @ | Crunch | Penguins1,Crunch2 | RECAP | |||||||||
2023-11-11 | Crunch | @ | Penguins | Crunch4,Penguins1 | RECAP | |||||||||
2023-11-15 | Bears | @ | Penguins | Bears4,Penguins2 | RECAP | |||||||||
2023-11-17 | Penguins | @ | Bruins | Penguins2,Bruins3 (OT) | RECAP | |||||||||
2023-11-18 | Penguins | @ | Bruins | Penguins3,Bruins5 | RECAP | |||||||||
2023-11-22 | Penguins | @ | Bears | Penguins2,Bears3 | RECAP | |||||||||
2023-11-24 | Penguins | @ | Checkers | Penguins0,Checkers1 | RECAP | |||||||||
2023-11-25 | Penguins | @ | Checkers | Penguins2,Checkers3 | RECAP | |||||||||
2023-11-29 | Bears | @ | Penguins | Bears2,Penguins3 | RECAP | |||||||||
2023-12-01 | Penguins | @ | Thunderbirds | Penguins3,Thunderbirds5 | RECAP | |||||||||
2023-12-02 | Thunderbirds | @ | Penguins | Thunderbirds4,Penguins5 | RECAP | |||||||||
2023-12-08 | Monsters | @ | Penguins | Monsters1,Penguins2 | RECAP | |||||||||
2023-12-09 | Bruins | @ | Penguins | Bruins4,Penguins1 | RECAP | |||||||||
2023-12-13 | Crunch | @ | Penguins | Crunch4,Penguins1 | RECAP | |||||||||
2023-12-15 | Penguins | @ | Comets | Penguins2,Comets0 | RECAP | |||||||||
2023-12-16 | Americans | @ | Penguins | Americans5,Penguins2 | RECAP | |||||||||
2023-12-21 | Penguins | @ | Senators | Penguins0,Senators3 | RECAP | |||||||||
2023-12-22 | Penguins | @ | Rocket | Penguins0,Rocket4 | RECAP | |||||||||
2023-12-27 | Penguins | @ | Bears | Penguins0,Bears2 | RECAP | |||||||||
2023-12-29 | Checkers | @ | Penguins | Checkers0,Penguins2 | RECAP | |||||||||
2023-12-30 | Checkers | @ | Penguins | Checkers3,Penguins1 | RECAP | |||||||||
2024-01-05 | Penguins | @ | Thunderbirds | Penguins5,Thunderbirds3 | RECAP | |||||||||
2024-01-06 | Phantoms | @ | Penguins | Phantoms3,Penguins1 | RECAP | |||||||||
2024-01-07 | Wolf Pack | @ | Penguins | Wolf Pack3,Penguins2 (SO) | RECAP | |||||||||
2024-01-12 | Penguins | @ | Bruins | Penguins3,Bruins5 | RECAP | |||||||||
2024-01-13 | Penguins | @ | Islanders | Penguins4,Islanders2 | RECAP | |||||||||
2024-01-15 | Penguins | @ | Thunderbirds | Penguins1,Thunderbirds3 | RECAP | |||||||||
2024-01-17 | Bruins | @ | Penguins | Bruins4,Penguins2 | RECAP | |||||||||
2024-01-20 | Penguins | @ | Bears | Penguins1,Bears3 | RECAP | |||||||||
2024-01-21 | Thunderbirds | @ | Penguins | Thunderbirds4,Penguins1 | RECAP | |||||||||
2024-01-24 | Wolf Pack | @ | Penguins | Wolf Pack3,Penguins2 | RECAP | |||||||||
2024-01-26 | Penguins | @ | Phantoms | Penguins0,Phantoms5 | RECAP | |||||||||
2024-01-27 | Bears | @ | Penguins | Bears4,Penguins3 | RECAP | |||||||||
2024-01-31 | Marlies | @ | Penguins | Marlies0,Penguins2 | RECAP | |||||||||
2024-02-02 | Penguins | @ | Wolf Pack | Penguins3,Wolf Pack2 (SO) | RECAP | |||||||||
2024-02-03 | Penguins | @ | Phantoms | Penguins2,Phantoms1 | RECAP | |||||||||
2024-02-09 | Penguins | @ | Phantoms | Penguins4,Phantoms3 | RECAP | |||||||||
2024-02-14 | Penguins | @ | Marlies | Penguins1,Marlies3 | RECAP | |||||||||
2024-02-16 | Penguins | @ | Americans | Penguins2,Americans4 | RECAP | |||||||||
2024-02-17 | Rocket | @ | Penguins | Rocket3,Penguins4 (SO) | RECAP | |||||||||
2024-02-21 | Phantoms | @ | Penguins | Phantoms4,Penguins1 | RECAP | |||||||||
2024-02-23 | Penguins | @ | Bears | Penguins4,Bears2 | RECAP | |||||||||
2024-02-24 | Islanders | @ | Penguins | Islanders2,Penguins3 (OT) | RECAP | |||||||||
2024-03-01 | Checkers | @ | Penguins | Checkers1,Penguins2 (OT) | RECAP | |||||||||
2024-03-02 | Checkers | @ | Penguins | Checkers4,Penguins3 | RECAP | |||||||||
2024-03-08 | Penguins | @ | Phantoms | Penguins2,Phantoms3 (SO) | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-03-09 | Phantoms | @ | Penguins | Phantoms1,Penguins3 | RECAP | |||||||||
2024-03-13 | Phantoms | @ | Penguins | Phantoms2,Penguins3 (SO) | RECAP | |||||||||
2024-03-17 | Penguins | @ | Monsters | Penguins1,Monsters3 | RECAP | |||||||||
2024-03-18 | Penguins | @ | Monsters | Penguins2,Monsters3 | RECAP | |||||||||
2024-03-22 | Penguins | @ | Crunch | Penguins1,Crunch5 | RECAP | |||||||||
2024-03-23 | Comets | @ | Penguins | Comets1,Penguins2 | RECAP | |||||||||
2024-03-24 | Penguins | @ | Phantoms | Penguins0,Phantoms4 | RECAP | |||||||||
2024-03-30 | Phantoms | @ | Penguins | Phantoms3,Penguins1 | RECAP | |||||||||
2024-04-05 | Monsters | @ | Penguins | Monsters5,Penguins1 | RECAP | |||||||||
2024-04-06 | Penguins | @ | Islanders | Penguins4,Islanders2 | RECAP | |||||||||
2024-04-07 | Phantoms | @ | Penguins | Phantoms3,Penguins1 | RECAP | |||||||||
2024-04-12 | Islanders | @ | Penguins | Islanders2,Penguins1 | RECAP | |||||||||
2024-04-13 | Bears | @ | Penguins | Bears3,Penguins2 | RECAP | |||||||||
2024-04-14 | Penguins | @ | Bears | Penguins1,Bears2 (SO) | RECAP | |||||||||
2024-04-19 | Penguins | @ | Wolf Pack | |||||||||||
2024-04-20 | Penguins | @ | Phantoms |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,607,917$ | 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 |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,607,917$ | 2,607,917$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,708,338$ | 13,374$ | 2,725,607$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 18,502$ | 55,506$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
55,506$ | 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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