| Player | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | MO | OV | AGE | SALARY | YRS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Oliver Okuliar#0 · LW | LW | 100 | 99 | 40 | 50 | 61 | 71 | 70 | 77 | 60 | 49 | 61 | 63 | 68 | 62 | 68 | 63 | 39 | 73 | 26 | 850,000$ | 1 |
Lucas Pettersson (R)#0 · C / LW | C/LW | 100 | 55 | 37 | 99 | 64 | 71 | 69 | 78 | 64 | 60 | 57 | 68 | 64 | 48 | 56 | 56 | 39 | 72 | 20 | 962,700$ | 3 |
Jansen Harkins#0 · C / LW | C/LW | 100 | 83 | 39 | 84 | 55 | 73 | 72 | 81 | 52 | 77 | 57 | 56 | 80 | 54 | 74 | 72 | 39 | 71 | 29 | 1,000,000$ | 1 |
Bogdan Trineyev (R)#0 · RW | RW | 100 | 67 | 40 | 85 | 60 | 82 | 69 | 87 | 59 | 48 | 60 | 62 | 67 | 61 | 65 | 64 | 39 | 71 | 24 | 900,000$ | 1 |
Tyler Angle#0 · LW | LW | 100 | 66 | 40 | 86 | 57 | 71 | 69 | 76 | 58 | 41 | 61 | 56 | 70 | 59 | 68 | 67 | 39 | 70 | 26 | 850,000$ | 2 |
Adam Edstrom (R)#0 · C | C | 100 | 78 | 37 | 88 | 57 | 92 | 70 | 78 | 54 | 58 | 56 | 60 | 68 | 57 | 68 | 66 | 39 | 70 | 25 | 975,000$ | 1 |
Jaxson Nelson#0 · C | C | 100 | 54 | 39 | 94 | 63 | 84 | 71 | 91 | 62 | 70 | 53 | 57 | 66 | 48 | 65 | 64 | 39 | 70 | 26 | 850,000$ | 1 |
Rhett Pitlick (R)#0 · LW / RW | LW/RW | 100 | 66 | 40 | 86 | 58 | 65 | 67 | 76 | 58 | 41 | 61 | 57 | 66 | 59 | 66 | 65 | 39 | 70 | 25 | 775,000$ | 1 |
Matyas Melovsky (R)#0 · C | C | 100 | 71 | 40 | 80 | 60 | 75 | 66 | 75 | 57 | 70 | 60 | 59 | 62 | 60 | 61 | 59 | 39 | 69 | 22 | 972,500$ | 2 |
Riley Thompson (R)#0 · C | C | 100 | 72 | 46 | 75 | 58 | 86 | 62 | 70 | 52 | 63 | 57 | 59 | 63 | 65 | 72 | 72 | 39 | 69 | 24 | 1,025,000$ | 1 |
Josh Dunne#0 · C | C | 100 | 71 | 54 | 60 | 55 | 86 | 70 | 71 | 53 | 77 | 57 | 54 | 70 | 53 | 71 | 67 | 39 | 68 | 27 | 800,000$ | 1 |
Kyle McDonald#0 · RW | RW | 100 | 70 | 40 | 81 | 56 | 84 | 65 | 78 | 54 | 45 | 56 | 57 | 65 | 57 | 64 | 62 | 39 | 68 | 24 | 850,000$ | 2 |
Corey Schueneman#0 · D | D | 100 | 66 | 40 | 86 | 54 | 77 | 70 | 88 | 59 | 30 | 61 | 55 | 74 | 58 | 77 | 76 | 39 | 73 | 31 | 875,000$ | 2 |
Connor Mackey#2 · D | D | 100 | 96 | 39 | 50 | 53 | 78 | 68 | 87 | 57 | 30 | 59 | 55 | 71 | 57 | 75 | 70 | 39 | 72 | 30 | 925,000$ | 2 |
Wyatt Aamodt#0 · D | D | 100 | 72 | 40 | 79 | 54 | 78 | 69 | 88 | 58 | 30 | 59 | 54 | 76 | 57 | 73 | 71 | 39 | 72 | 28 | 850,000$ | 2 |
Nick Cicek#0 · D | D | 100 | 99 | 40 | 50 | 55 | 79 | 66 | 77 | 55 | 30 | 59 | 56 | 66 | 58 | 68 | 63 | 39 | 71 | 26 | 825,000$ | 2 |
Dennis Cholowski#0 · D | D | 100 | 55 | 33 | 92 | 57 | 83 | 77 | 74 | 50 | 30 | 61 | 57 | 57 | 54 | 72 | 71 | 39 | 70 | 28 | 875,000$ | 2 |
Mikulas Hovorka (R)#0 · D | D | 100 | 74 | 40 | 77 | 54 | 94 | 67 | 85 | 55 | 30 | 57 | 55 | 70 | 56 | 66 | 64 | 39 | 70 | 25 | 850,000$ | 2 |
| Scratches | ||||||||||||||||||||||
Paul Cotter#0 · C / LW / RW | C/LW/RW | 100 | 87 | 38 | 84 | 57 | 84 | 75 | 89 | 58 | 61 | 57 | 65 | 60 | 62 | 69 | 67 | 36 | 71 | 26 | 1,000,000$ | 3 |
Matt Rempe#0 · C / RW | C/RW | 100 | 89 | 57 | 61 | 55 | 99 | 69 | 75 | 56 | 58 | 56 | 57 | 60 | 57 | 64 | 60 | 36 | 68 | 24 | 900,000$ | 2 |
Joshua Eernisse (R)#0 · RW | RW | 100 | 62 | 41 | 84 | 56 | 86 | 60 | 70 | 50 | 50 | 54 | 57 | 60 | 64 | 74 | 74 | 36 | 67 | 24 | 952,500$ | 1 |
Cameron Butler#0 · RW | RW | 100 | 99 | 40 | 50 | 53 | 87 | 62 | 74 | 51 | 47 | 51 | 54 | 64 | 53 | 64 | 59 | 36 | 66 | 24 | 775,000$ | 1 |
Ilya Nikolayev (R)#0 · C | C | 100 | 61 | 38 | 89 | 49 | 74 | 59 | 71 | 61 | 64 | 47 | 49 | 64 | 33 | 61 | 59 | 36 | 64 | 25 | 850,000$ | 1 |
Zach Bogosian#6 · D | D | 100 | 69 | 36 | 83 | 55 | 87 | 80 | 84 | 56 | 30 | 60 | 57 | 73 | 56 | 86 | 84 | 36 | 74 | 36 | 1,300,000$ | 1 |
Jacob Moverare#0 · D | D | 0 | 62 | 33 | 94 | 55 | 84 | 73 | 75 | 53 | 30 | 59 | 53 | 62 | 53 | 71 | 70 | 40 | 70 | 28 | 850,000$ | 2 |
Terrell Goldsmith (R)#0 · D | D | 100 | 75 | 50 | 72 | 54 | 90 | 59 | 75 | 48 | 30 | 54 | 52 | 67 | 61 | 67 | 67 | 36 | 68 | 21 | 936,111$ | 2 |
Kurtis MacDermid#56 · LW / D | LWD | 100 | 73 | 74 | 55 | 55 | 94 | 63 | 71 | 51 | 55 | 53 | 50 | 56 | 51 | 78 | 74 | 36 | 67 | 32 | 1,150,000$ | 1 |
| TEAM AVERAGE | 96 | 74 | 42 | 77 | 56 | 82 | 68 | 79 | 56 | 48 | 57 | 57 | 66 | 56 | 69 | 67 | 38 | 70 | ||||
| Goalie | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | MO | OV | AGE | SALARY | YRS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Benjamin Kraws#0 · Goalie | 100 | 75 | 94 | 70 | 82 | 66 | 73 | 75 | 75 | 73 | 72 | 74 | 64 | 73 | 35 | 79 | 26 | 775,000$ | 1 |
Victor Ostman#0 · Goalie | 100 | 68 | 64 | 66 | 81 | 59 | 71 | 69 | 68 | 71 | 70 | 69 | 67 | 73 | 40 | 73 | 26 | 850,000$ | 2 |
| Scratches | |||||||||||||||||||
Carson Bjarnason#0 · Goalie | 100 | 66 | 61 | 63 | 78 | 56 | 69 | 65 | 66 | 69 | 70 | 67 | 58 | 64 | 38 | 70 | 21 | 855,000$ | 2 |
| TEAM AVERAGE | 100 | 70 | 73 | 66 | 80 | 60 | 71 | 70 | 70 | 71 | 71 | 70 | 63 | 70 | 38 | 74 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dominique Ducharme | 74 | 69 | 68 | 73 | 73 | 68 | 77 | CAN | 53 | 3 | 1,000,000$ |
| General Manager | Étienne Côté |
|---|
| 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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Oliver Okuliar#0 · LW | Penguins (PIT) | LW | 4 | 2 | 6 | 8 | 3 | 2 | 0 | 25 | 7 | 12 | 6 | 10 | 16.67% | 1 | 84 | 21.19 | 1 | 1 | 2 | 2 | 16 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 38.60% | 114 | 0 | 0 | 0 | 0 | 1.89 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 2 | Wyatt Aamodt#0 · D | Penguins (PIT) | D | 4 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 2 | 7 | 2 | 2 | 14.29% | 7 | 82 | 20.66 | 0 | 0 | 0 | 4 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | Lucas Pettersson#0 · C / LW | Penguins (PIT) | C/LW | 4 | 3 | 1 | 4 | 2 | 0 | 0 | 0 | 6 | 17 | 6 | 16 | 17.65% | 1 | 85 | 21.48 | 0 | 1 | 1 | 2 | 16 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 4 | Rhett Pitlick#0 · LW / RW | Penguins (PIT) | LW/RW | 4 | 2 | 2 | 4 | -1 | 0 | 0 | 4 | 8 | 14 | 0 | 6 | 14.29% | 0 | 65 | 16.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 4 | 0 | 0 | 0 | 0 | 1.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 5 | Tyler Angle#0 · LW | Penguins (PIT) | LW | 4 | 2 | 1 | 3 | -1 | 0 | 0 | 1 | 8 | 4 | 3 | 4 | 50.00% | 0 | 67 | 16.81 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6 | Dennis Cholowski#0 · D | Penguins (PIT) | D | 4 | 0 | 2 | 2 | 2 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0% | 0 | 60 | 15.03 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 7 | Jaxson Nelson#0 · C | Penguins (PIT) | C | 4 | 1 | 1 | 2 | -3 | 0 | 0 | 0 | 11 | 14 | 3 | 4 | 7.14% | 2 | 85 | 21.41 | 0 | 0 | 0 | 3 | 15 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | Jansen Harkins#0 · C / LW | Penguins (PIT) | C/LW | 4 | 0 | 1 | 1 | -3 | 0 | 0 | 13 | 20 | 13 | 5 | 7 | 0% | 3 | 77 | 19.33 | 0 | 0 | 0 | 5 | 13 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 57.50% | 80 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | Connor Mackey#2 · D | Penguins (PIT) | D | 4 | 1 | 0 | 1 | 0 | 6 | 0 | 22 | 5 | 7 | 0 | 3 | 14.29% | 2 | 87 | 21.95 | 1 | 0 | 1 | 3 | 14 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10 | Nick Cicek#0 · D | Penguins (PIT) | D | 4 | 0 | 1 | 1 | -4 | 8 | 0 | 15 | 2 | 3 | 0 | 3 | 0% | 3 | 92 | 23.07 | 0 | 0 | 0 | 2 | 14 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 11 | Bogdan Trineyev#0 · RW | Penguins (PIT) | RW | 4 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 10 | 13 | 4 | 5 | 0% | 0 | 88 | 22.08 | 0 | 0 | 0 | 2 | 13 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 42.42% | 33 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 12 | Adam Edstrom#0 · C | Penguins (PIT) | C | 4 | 0 | 1 | 1 | -2 | 4 | 0 | 16 | 8 | 13 | 2 | 6 | 0% | 1 | 94 | 23.65 | 0 | 0 | 0 | 1 | 13 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 59.78% | 92 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 13 | Mikulas Hovorka#0 · D | Penguins (PIT) | D | 4 | 0 | 1 | 1 | 2 | 0 | 0 | 6 | 5 | 4 | 2 | 0 | 0% | 2 | 70 | 17.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 14 | Josh Dunne#0 · C | Penguins (PIT) | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 2 | 0% | 0 | 7 | 1.94 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 15 | Corey Schueneman#0 · D | Penguins (PIT) | D | 4 | 0 | 0 | 0 | -4 | 0 | 0 | 0 | 6 | 2 | 2 | 6 | 0% | 4 | 86 | 21.68 | 0 | 0 | 0 | 1 | 15 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 | Kyle McDonald#0 · RW | Penguins (PIT) | RW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0% | 0 | 1 | 0.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 17 | Riley Thompson#0 · C | Penguins (PIT) | C | 4 | 0 | 0 | 0 | -3 | 4 | 0 | 5 | 1 | 1 | 1 | 0 | 0% | 0 | 43 | 10.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Team Total or Average | 68 | 12 | 21 | 33 | -10 | 24 | 0 | 109 | 126 | 39 | 76 | 9.52% | 26 | 17.37 | 2 | 2 | 4 | 152 | 0 | 0 | 0 | 75 | 1 | 0 | 48.13% | 347 | 0 | 0 | 0 | 0 | 0.56 | 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 | Benjamin Kraws#0 · Goalie | Penguins (PIT) | 4 | 1 | 3 | 0 | 0.858 | 4.53 | 212 | 0 | 0 | 16 | 113 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 |
| 2 | Victor Ostman#0 · Goalie | Penguins (PIT) | 1 | 0 | 0 | 0 | 1.000 | 0 | 26 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 |
| Team Total or Average | 5 | 1 | 3 | 0 | 0.874 | 4.02 | 239 | 0 | 0 | 16 | 127 | 0 | 0 | 0 | 0.000 | 0 | 4 | 4 | 0 | 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 |
| Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Type | Current Salary | Salary Remaining | Salary Average | Salary Ave Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Edstrom | Penguins (PIT) | C | 25 | 2000-10-12 | Yes | 220 Lbs | 6 ft7 | No | No | No | 1 | Pro & Farm | 975,000$ | 905,000$ | 975,000$ | 905,000$ | 0$ | 0$ | No | NHL Link | |||||||||
| Benjamin Kraws | Penguins (PIT) | G | 26 | 2000-08-02 | No | 194 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 775,000$ | 719,359$ | 775,000$ | 719,359$ | 0$ | 0$ | No | ||||||||||
| Bogdan Trineyev | Penguins (PIT) | RW | 24 | 2002-03-04 | Yes | 202 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 900,000$ | 835,385$ | 900,000$ | 835,385$ | 0$ | 0$ | No | ||||||||||
| Cameron Butler | Penguins (PIT) | RW | 24 | 2002-06-09 | No | 215 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 775,000$ | 719,359$ | 775,000$ | 719,359$ | 0$ | 0$ | No | ||||||||||
| Carson Bjarnason | Penguins (PIT) | G | 21 | 2005-06-30 | Yes | 190 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 855,000$ | 793,615$ | 855,000$ | 793,615$ | 0$ | 0$ | No | 855,000$ | |||||||||
| Connor Mackey | Penguins (PIT) | D | 30 | 1996-09-12 | No | 195 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 925,000$ | 858,590$ | 925,000$ | 858,590$ | 0$ | 0$ | No | 925,000$ | NHL Link | ||||||||
| Corey Schueneman | Penguins (PIT) | D | 31 | 1995-09-02 | No | 200 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 875,000$ | 812,179$ | 875,000$ | 812,179$ | 0$ | 0$ | No | 875,000$ | NHL Link | ||||||||
| Dennis Cholowski | Penguins (PIT) | D | 28 | 1998-02-15 | No | 210 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 875,000$ | 812,179$ | 875,000$ | 812,179$ | 0$ | 0$ | No | 875,000$ | NHL Link | ||||||||
| Ilya Nikolayev | Penguins (PIT) | C | 25 | 2001-06-26 | Yes | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 850,000$ | 788,974$ | 850,000$ | 788,974$ | 0$ | 0$ | No | ||||||||||
| Jacob Moverare (Out of Payroll) | Penguins (PIT) | D | 28 | 1998-08-31 | No | 210 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 850,000$ | 788,974$ | 850,000$ | 788,974$ | 0$ | 0$ | No | 850,000$ | NHL Link | ||||||||
| Jansen Harkins | Penguins (PIT) | C/LW | 29 | 1997-05-23 | No | 182 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 928,205$ | 1,000,000$ | 928,205$ | 0$ | 0$ | No | NHL Link | |||||||||
| Jaxson Nelson | Penguins (PIT) | C | 26 | 2000-03-30 | No | 207 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 850,000$ | 788,974$ | 850,000$ | 788,974$ | 0$ | 0$ | No | ||||||||||
| Josh Dunne | Penguins (PIT) | C | 27 | 1998-12-08 | No | 211 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 800,000$ | 742,564$ | 800,000$ | 742,564$ | 0$ | 0$ | No | NHL Link | |||||||||
| Joshua Eernisse | Penguins (PIT) | RW | 24 | 2001-12-31 | Yes | 217 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 952,500$ | 884,115$ | 952,500$ | 884,115$ | 0$ | 0$ | No | Link | |||||||||
| Kurtis MacDermid | Penguins (PIT) | LW/D | 32 | 1994-03-25 | No | 233 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 1,150,000$ | 1,067,436$ | 1,150,000$ | 1,067,436$ | 0$ | 0$ | No | NHL Link | |||||||||
| Kyle McDonald | Penguins (PIT) | RW | 24 | 2002-02-05 | No | 207 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 850,000$ | 788,974$ | 850,000$ | 788,974$ | 0$ | 0$ | No | 850,000$ | |||||||||
| Lucas Pettersson | Penguins (PIT) | C/LW | 20 | 2006-04-17 | Yes | 183 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 962,700$ | 893,583$ | 962,700$ | 893,583$ | 0$ | 0$ | No | 962,700$ | 962,700$ | ||||||||
| Matt Rempe | Penguins (PIT) | C/RW | 24 | 2002-06-29 | No | 240 Lbs | 6 ft8 | No | No | No | 2 | Pro & Farm | 900,000$ | 835,385$ | 900,000$ | 835,385$ | 0$ | 0$ | No | 900,000$ | NHL Link | ||||||||
| Matyas Melovsky | Penguins (PIT) | C | 22 | 2004-05-25 | Yes | 190 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 972,500$ | 902,679$ | 972,500$ | 902,679$ | 0$ | 0$ | No | 972,500$ | |||||||||
| Mikulas Hovorka | Penguins (PIT) | D | 25 | 2001-07-01 | Yes | 229 Lbs | 6 ft6 | No | No | No | 2 | Pro & Farm | 850,000$ | 788,974$ | 850,000$ | 788,974$ | 0$ | 0$ | No | 850,000$ | |||||||||
| Nick Cicek | Penguins (PIT) | D | 26 | 2000-05-29 | No | 201 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 825,000$ | 765,769$ | 825,000$ | 765,769$ | 0$ | 0$ | No | 825,000$ | NHL Link | ||||||||
| Oliver Okuliar | Penguins (PIT) | LW | 26 | 2000-05-24 | No | 182 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 850,000$ | 788,974$ | 850,000$ | 788,974$ | 0$ | 0$ | No | ||||||||||
| Paul Cotter | Penguins (PIT) | C/LW/RW | 26 | 1999-11-16 | No | 212 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 1,000,000$ | 928,205$ | 1,000,000$ | 928,205$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | NHL Link | |||||||
| Rhett Pitlick | Penguins (PIT) | LW/RW | 25 | 2001-02-07 | Yes | 170 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 775,000$ | 719,359$ | 775,000$ | 719,359$ | 0$ | 0$ | No | ||||||||||
| Riley Thompson | Penguins (PIT) | C | 24 | 2002-08-17 | Yes | 216 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 1,025,000$ | 951,410$ | 1,025,000$ | 951,410$ | 0$ | 0$ | No | Link | |||||||||
| Terrell Goldsmith | Penguins (PIT) | D | 21 | 2005-05-13 | Yes | 223 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 936,111$ | 868,903$ | 936,111$ | 868,903$ | 0$ | 0$ | No | 936,111$ | Link | ||||||||
| Tyler Angle | Penguins (PIT) | LW | 26 | 2000-09-30 | No | 166 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 850,000$ | 788,974$ | 850,000$ | 788,974$ | 0$ | 0$ | No | 850,000$ | NHL Link | ||||||||
| Victor Ostman | Penguins (PIT) | G | 26 | 2000-10-03 | No | 197 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 850,000$ | 788,974$ | 850,000$ | 788,974$ | 0$ | 0$ | No | 850,000$ | |||||||||
| Wyatt Aamodt | Penguins (PIT) | D | 28 | 1997-11-21 | No | 201 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 850,000$ | 788,974$ | 850,000$ | 788,974$ | 0$ | 0$ | No | 850,000$ | NHL Link | ||||||||
| Zach Bogosian | Penguins (PIT) | D | 36 | 1990-07-15 | No | 222 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,300,000$ | 1,206,667$ | 1,300,000$ | 1,206,667$ | 0$ | 0$ | No | NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 30 | 25.97 | 204 Lbs | 6 ft3 | 1.60 | 906,794$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 5 | 4 | 2 | 1 | 29 | 38 | 39 | 47 | 2 | 42 | 13 | 6 | 26 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 65 | 141 | 46.10% | 73 | 144 | 50.69% | 29 | 62 | 46.77% | 99 | 68 | 88 | 29 | 52 | 26 | 20.0% | 6.9% | 88.1% | 95.0 | Unlucky | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 5 | 4 | 2 | 1 | 26 | 38 | 39 | 47 | 2 | 27 | 7 | 8 | 34 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 65 | 141 | 46.10% | 73 | 144 | 50.69% | 29 | 62 | 46.77% | 99 | 68 | 88 | 29 | 52 | 26 | 42.9% | 11.5% | 85.2% | 96.7 | FUN | |
| 3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 5 | 4 | 2 | 1 | 71 | 38 | 39 | 47 | 2 | 58 | 6 | 10 | 49 | 10 | 1 | 10.00% | 5 | 3 | 40.00% | 0 | 65 | 141 | 46.10% | 73 | 144 | 50.69% | 29 | 62 | 46.77% | 99 | 68 | 88 | 29 | 52 | 26 | 60.0% | 9.9% | 87.9% | 97.8 | FUN | |
| Total | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 12 | 16 | -4 | 2 | 0.250 | 12 | 21 | 33 | 0 | 0 | 5 | 4 | 2 | 1 | 126 | 38 | 39 | 47 | 2 | 127 | 26 | 24 | 109 | 17 | 2 | 11.76% | 12 | 4 | 66.67% | 0 | 65 | 141 | 46.10% | 73 | 144 | 50.69% | 29 | 62 | 46.77% | 99 | 68 | 88 | 29 | 52 | 26 | 45.5% | 9.5% | 87.4% | 96.9 | FUN | |
| _Since Last GM Reset | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 12 | 16 | -4 | 2 | 0.250 | 12 | 21 | 33 | 0 | 0 | 5 | 4 | 2 | 1 | 126 | 38 | 39 | 47 | 2 | 127 | 26 | 24 | 109 | 17 | 2 | 11.76% | 12 | 4 | 66.67% | 0 | 65 | 141 | 46.10% | 73 | 144 | 50.69% | 29 | 62 | 46.77% | 99 | 68 | 88 | 29 | 52 | 26 | 45.5% | 9.5% | 87.4% | 96.9 | FUN | |
| _Vs Conference | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 12 | 16 | -4 | 2 | 0.250 | 12 | 21 | 33 | 0 | 0 | 5 | 4 | 2 | 1 | 126 | 38 | 39 | 47 | 2 | 127 | 26 | 24 | 109 | 17 | 2 | 11.76% | 12 | 4 | 66.67% | 0 | 65 | 141 | 46.10% | 73 | 144 | 50.69% | 29 | 62 | 46.77% | 99 | 68 | 88 | 29 | 52 | 26 | 45.5% | 9.5% | 87.4% | 96.9 | FUN | |
| _Vs Division | 1 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 5 | 4 | 2 | 1 | 29 | 38 | 39 | 47 | 2 | 42 | 13 | 6 | 26 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 65 | 141 | 46.10% | 73 | 144 | 50.69% | 29 | 62 | 46.77% | 99 | 68 | 88 | 29 | 52 | 26 | 20.0% | 6.9% | 88.1% | 95.0 | Unlucky |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 4 | 2 | L2 | 12 | 21 | 33 | 126 | 127 | 26 | 24 | 109 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 4 | 0 | 3 | 1 | 0 | 0 | 0 | 12 | 16 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 2 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 7 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 2 | 0 | 2 | 0 | 0 | 0 | 0 | 5 | 9 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 1 | 3 | 0 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 17 | 2 | 11.76% | 12 | 4 | 66.67% | 0 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 38 | 39 | 47 | 2 | 5 | 4 | 2 | 1 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 65 | 141 | 46.10% | 73 | 144 | 50.69% | 29 | 62 | 46.77% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 99 | 68 | 88 | 29 | 52 | 26 |
| Date | Visitor | Score | Home | Result / Arena |
|---|---|---|---|---|
| Fri, Oct 2 | Thunderbirds |
43 | FINAL | |
| Sat, Oct 3 | Wolf Pack |
34 | FINAL/OT | |
| Fri, Oct 9 | Penguins |
34 | FINAL | |
| Sat, Oct 10 | Penguins |
25 | FINAL | |
| Thu, Oct 15 | Penguins |
Cleveland | ||
| Fri, Oct 16 | Penguins |
Cleveland | ||
| Thu, Oct 22 | Senators |
Wilkes-Barre/Scranton | ||
| Fri, Oct 23 | Wolf Pack |
Wilkes-Barre/Scranton | ||
| Thu, Oct 29 | Penguins |
Utica | ||
| Sat, Oct 31 | Penguins |
Hershey | ||
| Thu, Nov 5 | Penguins |
Charlotte | ||
| Fri, Nov 6 | Penguins |
Charlotte | ||
| Mon, Nov 9 | Comets |
Wilkes-Barre/Scranton | ||
| Thu, Nov 12 | Penguins |
Hershey | ||
| Fri, Nov 13 | Hammers |
Wilkes-Barre/Scranton | ||
| Sat, Nov 14 | Phantoms |
Wilkes-Barre/Scranton | ||
| Tue, Nov 17 | Admirals |
Wilkes-Barre/Scranton | ||
| Thu, Nov 19 | Penguins |
Lehigh Valley | ||
| Fri, Nov 20 | Americans |
Wilkes-Barre/Scranton | ||
| Tue, Nov 24 | Penguins |
Hershey | ||
| Thu, Nov 26 | Bruins |
Wilkes-Barre/Scranton | ||
| Sat, Nov 28 | Phantoms |
Wilkes-Barre/Scranton | ||
| Tue, Dec 1 | Penguins |
Belleville | ||
| Thu, Dec 3 | Penguins |
Laval | ||
| Mon, Dec 7 | Penguins |
Charlotte | ||
| Tue, Dec 8 | Penguins |
Charlotte | ||
| Fri, Dec 11 | Bears |
Wilkes-Barre/Scranton | ||
| Sat, Dec 12 | Phantoms |
Wilkes-Barre/Scranton | ||
| Mon, Dec 14 | Checkers |
Wilkes-Barre/Scranton | ||
| Thu, Dec 17 | Bears |
Wilkes-Barre/Scranton | ||
| Fri, Dec 18 | Penguins |
Hershey | ||
| Sat, Dec 26 | Bears |
Wilkes-Barre/Scranton | ||
| Tue, Dec 29 | Bruins |
Wilkes-Barre/Scranton | ||
| Thu, Dec 31 | Phantoms |
Wilkes-Barre/Scranton | ||
| Sat, Jan 2 | Penguins |
Springfield | ||
| Sat, Jan 9 | Penguins |
Hershey | ||
| Thu, Jan 14 | Penguins |
Syracuse | ||
| Fri, Jan 15 | Crunch |
Wilkes-Barre/Scranton | ||
| Sat, Jan 16 | Marlies |
Wilkes-Barre/Scranton | ||
| Thu, Jan 21 | Thunderbirds |
Wilkes-Barre/Scranton | ||
| Sat, Jan 23 | Wolves |
Wilkes-Barre/Scranton | ||
| Tue, Jan 26 | Penguins |
Lehigh Valley | ||
| Thu, Jan 28 | Penguins |
Springfield | ||
| Fri, Jan 29 | Penguins |
Springfield | ||
| Tue, Feb 2 | Thunderbirds |
Wilkes-Barre/Scranton | ||
| Thu, Feb 4 | Penguins |
Hartford | ||
| Fri, Feb 5 | Penguins |
Lehigh Valley | ||
| Fri, Feb 12 | Checkers |
Wilkes-Barre/Scranton | ||
| Tue, Feb 16 | Penguins |
Lehigh Valley | ||
| Thu, Feb 18 | Monsters |
Wilkes-Barre/Scranton | ||
| Fri, Feb 19 | Monsters |
Wilkes-Barre/Scranton | ||
| Tue, Feb 23 | Penguins |
Milwaukee | ||
| Thu, Feb 25 | Penguins |
Rockford | ||
| Fri, Feb 26 | Penguins |
Chicago | ||
| Tue, Mar 2 | Bears |
Wilkes-Barre/Scranton | ||
| Fri, Mar 5 | Phantoms |
Wilkes-Barre/Scranton | ||
| Sat, Mar 6 | IceHogs |
Wilkes-Barre/Scranton | ||
| Tue, Mar 9 | Rocket |
Wilkes-Barre/Scranton | ||
| Fri, Mar 12 | Penguins |
Providence | ||
| Sat, Mar 13 | Penguins |
Hartford | ||
| Tue, Mar 16 | Penguins |
Toronto | ||
| Thu, Mar 18 | Penguins |
Hamilton | ||
| Fri, Mar 19 | Penguins |
Rochester | ||
| Tue, Mar 23 | Penguins |
Lehigh Valley | ||
| Thu, Mar 25 | Bears |
Wilkes-Barre/Scranton | ||
| Fri, Mar 26 | Penguins |
Hershey | ||
| Thu, Apr 1 | Wolf Pack |
Wilkes-Barre/Scranton | ||
| Fri, Apr 2 | Phantoms |
Wilkes-Barre/Scranton | ||
| Sat, Apr 3 | Penguins |
Lehigh Valley | ||
| Tue, Apr 6 | Checkers |
Wilkes-Barre/Scranton | ||
| Thu, Apr 8 | Bears |
Wilkes-Barre/Scranton | ||
| Fri, Apr 9 | Checkers |
Wilkes-Barre/Scranton |
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Arena Capacity | 2000 | 1000 |
| Ticket Price | 35 | 0 |
| Attendance | 0 | 0 |
| Attendance PCT | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 34 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 254,898$ | 2,550,381$ | 2,550,381$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 13,079$ | 183,106$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 181 | 18,207$ | 3,295,467$ |
| Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2026 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Total Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Total Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||