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Full Scoreboard »» |
Pittsburgh Penguins 7-3-4, 18pts · 5th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Barclay Goodrow | 0 | C/LW | 100.00 | 86 | 78 | 73 | 77 | 81 | 63 | 98 | 65 | 86 | 60 | 57 | 85 | 25 | 75 | 80 | 68 | 50 | 0 | 30 | 3,641,667$/4yrs | |||
Juuso Parssinen | 0 | C | 100.00 | 79 | 44 | 91 | 77 | 75 | 68 | 84 | 72 | 57 | 59 | 71 | 66 | 25 | 55 | 55 | 70 | 50 | 0 | 22 | 925,000$/1yrs | |||
Taylor Hall (A) | 0 | LW | 100.00 | 82 | 75 | 99 | 88 | 75 | 54 | 57 | 47 | 50 | 72 | 72 | 73 | 42 | 79 | 81 | 55 | 50 | 0 | 31 | 6,000,000$/2yrs | |||
Colin Blackwell | 0 | C/RW | 100.00 | 75 | 43 | 92 | 76 | 65 | 67 | 66 | 66 | 46 | 59 | 71 | 83 | 59 | 66 | 67 | 72 | 50 | 0 | 30 | 1,200,000$/1yrs | |||
Pavel Zacha | 0 | C/LW | 100.00 | 79 | 45 | 92 | 82 | 77 | 78 | 97 | 85 | 96 | 82 | 78 | 73 | 63 | 71 | 72 | 79 | 50 | 0 | 26 | 4,750,000$/4yrs | |||
Kaapo Kakko | 0 | RW | 100.00 | 63 | 42 | 88 | 80 | 74 | 65 | 89 | 71 | 54 | 60 | 72 | 64 | 63 | 66 | 68 | 69 | 50 | 0 | 22 | 2,100,000$/1yrs | |||
Jakob Silfverberg | 0 | LW/RW | 100.00 | 59 | 41 | 90 | 80 | 75 | 64 | 98 | 80 | 36 | 62 | 59 | 74 | 90 | 80 | 80 | 67 | 50 | 0 | 32 | 5,250,000$/1yrs | |||
Eeli Tolvanen | 0 | RW | 100.00 | 91 | 45 | 90 | 78 | 68 | 70 | 88 | 82 | 36 | 75 | 72 | 67 | 25 | 65 | 67 | 75 | 50 | 0 | 24 | 1,450,000$/1yrs | |||
Troy Terry | 0 | RW | 100.00 | 59 | 41 | 89 | 84 | 68 | 78 | 90 | 82 | 34 | 81 | 77 | 66 | 53 | 67 | 67 | 77 | 50 | 0 | 26 | 7,000,000$/7yrs | |||
Ondrej Palat | 0 | RW | 100.00 | 78 | 54 | 84 | 82 | 69 | 70 | 77 | 72 | 32 | 73 | 68 | 70 | 37 | 77 | 85 | 72 | 50 | 0 | 32 | 6,000,000$/5yrs | |||
Trevor Zegras | 0 | C/LW | 100.00 | 65 | 42 | 73 | 84 | 68 | 75 | 73 | 81 | 55 | 74 | 71 | 63 | 85 | 63 | 63 | 72 | 50 | 0 | 22 | 5,750,000$/3yrs | |||
Sonny Milano | 0 | RW | 100.00 | 63 | 41 | 93 | 84 | 70 | 62 | 76 | 68 | 25 | 63 | 82 | 64 | 53 | 64 | 64 | 74 | 50 | 0 | 27 | 1,900,000$/3yrs | |||
Tyler Myers | 0 | D | 100.00 | 79 | 56 | 72 | 81 | 89 | 76 | 95 | 66 | 25 | 64 | 48 | 89 | 53 | 83 | 83 | 67 | 50 | 0 | 33 | 6,000,000$/1yrs | |||
Wyatt Kaiser (R) | 0 | D | 100.00 | 69 | 42 | 80 | 71 | 64 | 72 | 71 | 62 | 25 | 56 | 47 | 83 | 25 | 46 | 46 | 62 | 50 | 0 | 21 | 916,667$/2yrs | |||
Alex Goligoski | 0 | D | 100.00 | 71 | 42 | 85 | 80 | 67 | 65 | 60 | 69 | 25 | 62 | 47 | 71 | 80 | 88 | 89 | 62 | 50 | 0 | 38 | 2,000,000$/1yrs | |||
Seth Jones | 0 | D | 100.00 | 76 | 44 | 85 | 86 | 78 | 93 | 87 | 89 | 25 | 66 | 53 | 86 | 25 | 78 | 78 | 72 | 50 | 0 | 28 | 9,500,000$/7yrs | |||
Neal Pionk | 0 | D | 100.00 | 92 | 56 | 78 | 83 | 69 | 81 | 99 | 78 | 25 | 66 | 48 | 84 | 75 | 70 | 71 | 68 | 50 | 0 | 28 | 5,875,000$/2yrs | |||
Mike Reilly | 0 | D | 100.00 | 71 | 43 | 85 | 81 | 74 | 71 | 70 | 74 | 25 | 64 | 50 | 65 | 25 | 67 | 68 | 64 | 50 | 0 | 30 | 3,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Carl Grundstrom | 0 | RW | 100.00 | 88 | 46 | 91 | 80 | 73 | 57 | 72 | 65 | 31 | 58 | 70 | 64 | 63 | 64 | 65 | 69 | 50 | 0 | 25 | 1,300,000$/1yrs | |||
Alexander Nylander | 0 | LW/RW | 100.00 | 63 | 42 | 92 | 78 | 71 | 73 | 85 | 81 | 42 | 62 | 87 | 60 | 25 | 47 | 47 | 76 | 50 | 0 | 25 | 775,000$/1yrs | |||
Matthew Highmore | 0 | LW/RW | 100.00 | 75 | 67 | 93 | 71 | 67 | 72 | 75 | 64 | 50 | 62 | 58 | 68 | 55 | 59 | 59 | 65 | 50 | 0 | 27 | 775,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 74 | 49 | 86 | 80 | 72 | 70 | 81 | 72 | 42 | 66 | 65 | 72 | 50 | 68 | 69 | 69 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pheonix Copley | 0 | 100.00 | 65 | 58 | 73 | 83 | 68 | 65 | 70 | 68 | 68 | 67 | 45 | 54 | 55 | 64 | 50 | 0 | 31 | 1,500,000$/1yrs |
Elvis Merzlikins | 0 | 100.00 | 63 | 65 | 65 | 73 | 65 | 60 | 71 | 66 | 65 | 63 | 95 | 62 | 63 | 65 | 50 | 0 | 29 | 5,400,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 64 | 62 | 69 | 78 | 67 | 63 | 71 | 67 | 67 | 65 | 70 | 58 | 59 | 65 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Laferriere | 0 | RW | 100.00 | 79 | 56 | 83 | 80 | 64 | 64 | 78 | 68 | 50 | 62 | 68 | 63 | 25 | 55 | 55 | 69 | 54 | 0 | 21 | 875,000$/2yrs | |||
Adam Raska | 0 | RW | 100.00 | 60 | 63 | 53 | 67 | 63 | 69 | 75 | 47 | 50 | 43 | 46 | 53 | 44 | 45 | 45 | 51 | 54 | 0 | 22 | 848,333$/1yrs | |||
Jakob Pelletier | 0 | LW | 100.00 | 71 | 42 | 94 | 75 | 59 | 54 | 62 | 64 | 46 | 62 | 58 | 70 | 25 | 47 | 47 | 64 | 54 | 0 | 22 | 863,333$/1yrs | |||
Egor Afanasyev | 0 | C/LW | 100.00 | 79 | 76 | 87 | 70 | 76 | 78 | 81 | 67 | 80 | 62 | 68 | 68 | 65 | 45 | 45 | 70 | 54 | 0 | 22 | 789,167$/1yrs | |||
Sam Colangelo (R) | 0 | C/RW | 100.00 | 83 | 76 | 99 | 59 | 76 | 52 | 49 | 66 | 80 | 68 | 61 | 69 | 58 | 44 | 44 | 66 | 54 | 0 | 21 | 545,000$/1yrs | |||
Adam Klapka | 0 | C/RW | 100.00 | 86 | 96 | 63 | 67 | 96 | 77 | 81 | 63 | 79 | 59 | 63 | 70 | 60 | 44 | 44 | 67 | 54 | 0 | 23 | 832,500$/1yrs | |||
David Jiricek (R) | 0 | D | 100.00 | 65 | 42 | 85 | 76 | 71 | 65 | 80 | 61 | 25 | 55 | 47 | 67 | 25 | 48 | 48 | 60 | 54 | 0 | 19 | 918,333$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Brett Murray | 0 | LW | 100.00 | 86 | 88 | 81 | 69 | 88 | 75 | 79 | 61 | 50 | 55 | 62 | 70 | 59 | 46 | 46 | 66 | 32 | 0 | 25 | 775,000$/1yrs | |||
Nathan Walker | 0 | LW | 100.00 | 86 | 75 | 87 | 72 | 67 | 57 | 83 | 65 | 44 | 61 | 70 | 68 | 25 | 60 | 61 | 69 | 32 | 0 | 29 | 775,000$/1yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Arvid Soderblom | 0 | 100.00 | 62 | 68 | 65 | 73 | 65 | 58 | 69 | 63 | 65 | 62 | 75 | 48 | 48 | 64 | 54 | 0 | 24 | 962,500$/2yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Jean-Francois Chagnon |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Troy Terry | Penguins | 0 | RW | 14 | 9 | 6 | 15 | 6 | 0 | 0 | 14 | 55 | 8 | 29 | 16.36% | 10 | 18.12 | 0 | 1 | 1 | 22 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 12 | 9 | 7 | 0 | 0 | 1.18 | 0 | 0 | |
2 | Trevor Zegras | Penguins | 0 | C/LW | 14 | 6 | 7 | 13 | 2 | 18 | 0 | 27 | 52 | 10 | 34 | 11.54% | 5 | 18.29 | 2 | 1 | 3 | 22 | 0 | 0 | 0 | 9 | 2 | 0 | 40.27% | 298 | 12 | 3 | 0 | 1 | 1.02 | 1 | 3 | |
3 | Barclay Goodrow | Penguins | 0 | C/LW | 14 | 3 | 4 | 7 | 3 | 7 | 5 | 21 | 20 | 3 | 10 | 15.00% | 7 | 16.23 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 19 | 0 | 0 | 53.72% | 121 | 2 | 4 | 0 | 0 | 0.62 | 0 | 0 | |
4 | Pavel Zacha | Penguins | 0 | C/LW | 14 | 4 | 3 | 7 | -3 | 0 | 0 | 16 | 43 | 8 | 19 | 9.30% | 7 | 19.43 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 26 | 0 | 0 | 58.27% | 127 | 13 | 5 | 0 | 0 | 0.51 | 1 | 4 | |
5 | Seth Jones | Penguins | 0 | D | 14 | 1 | 6 | 7 | 1 | 2 | 0 | 18 | 29 | 11 | 7 | 3.45% | 15 | 26.80 | 0 | 1 | 1 | 36 | 0 | 1 | 1 | 26 | 0 | 1 | 0.00% | 0 | 11 | 8 | 0 | 0 | 0.37 | 0 | 1 | |
6 | Eeli Tolvanen | Penguins | 0 | RW | 14 | 2 | 5 | 7 | 3 | 2 | 0 | 17 | 48 | 16 | 25 | 4.17% | 4 | 15.73 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 10 | 7 | 5 | 0 | 0 | 0.64 | 0 | 1 | |
7 | Ondrej Palat | Penguins | 0 | RW | 14 | 3 | 4 | 7 | -1 | 2 | 0 | 11 | 25 | 7 | 21 | 12.00% | 6 | 14.28 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 8 | 0 | 0 | 34.78% | 23 | 7 | 6 | 0 | 0 | 0.70 | 0 | 0 | |
8 | Colin Blackwell | Penguins | 0 | C/RW | 14 | 3 | 3 | 6 | 1 | 2 | 0 | 15 | 16 | 4 | 8 | 18.75% | 6 | 10.04 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 2 | 1 | 0 | 41.38% | 29 | 1 | 2 | 0 | 0 | 0.85 | 0 | 0 | |
9 | Kaapo Kakko | Penguins | 0 | RW | 14 | 2 | 4 | 6 | 1 | 2 | 0 | 14 | 25 | 9 | 8 | 8.00% | 6 | 12.25 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 4 | 0 | 0 | 0.70 | 0 | 1 | |
10 | Jakob Silfverberg | Penguins | 0 | LW/RW | 14 | 3 | 3 | 6 | -2 | 2 | 0 | 7 | 26 | 15 | 12 | 11.54% | 6 | 12.72 | 0 | 0 | 0 | 11 | 1 | 0 | 1 | 6 | 0 | 2 | 36.28% | 113 | 6 | 1 | 0 | 0 | 0.67 | 0 | 1 | |
11 | Neal Pionk | Penguins | 0 | D | 14 | 1 | 5 | 6 | 1 | 6 | 0 | 25 | 20 | 7 | 7 | 5.00% | 20 | 24.80 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 3 | 9 | 0 | 0 | 0.35 | 0 | 0 | |
12 | Taylor Hall | Penguins | 0 | LW | 14 | 1 | 4 | 5 | 3 | 2 | 0 | 22 | 21 | 4 | 10 | 4.76% | 5 | 18.62 | 1 | 1 | 2 | 21 | 0 | 0 | 0 | 12 | 0 | 0 | 50.00% | 20 | 6 | 6 | 0 | 0 | 0.38 | 0 | 1 | |
13 | Alex Goligoski | Penguins | 0 | D | 14 | 0 | 4 | 4 | 1 | 2 | 0 | 11 | 9 | 3 | 0 | 0.00% | 13 | 16.77 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 3 | 6 | 0 | 0 | 0.34 | 1 | 1 | |
14 | Juuso Parssinen | Penguins | 0 | C | 14 | 3 | 1 | 4 | 1 | 2 | 0 | 17 | 15 | 3 | 7 | 20.00% | 6 | 15.72 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 10 | 1 | 0 | 44.83% | 29 | 1 | 4 | 0 | 0 | 0.36 | 0 | 1 | |
15 | Sonny Milano | Penguins | 0 | RW | 14 | 1 | 2 | 3 | -1 | 0 | 0 | 8 | 28 | 10 | 13 | 3.57% | 2 | 9.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 7 | 3 | 0 | 0 | 0.45 | 0 | 0 | |
16 | Tyler Myers | Penguins | 0 | D | 14 | 0 | 2 | 2 | 1 | 8 | 0 | 16 | 9 | 1 | 3 | 0.00% | 18 | 21.54 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 4 | 8 | 0 | 0 | 0.13 | 0 | 0 | |
17 | Wyatt Kaiser | Penguins | 0 | D | 14 | 0 | 1 | 1 | 2 | 6 | 0 | 14 | 7 | 4 | 0 | 0.00% | 16 | 14.07 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 1 | 9 | 0 | 0 | 0.10 | 0 | 0 | |
18 | Mike Reilly | Penguins | 0 | D | 14 | 0 | 1 | 1 | 4 | 0 | 0 | 8 | 4 | 0 | 4 | 0.00% | 8 | 16.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 7 | 0 | 0 | 0.09 | 0 | 0 | |
Team Total or Average | 252 | 42 | 65 | 107 | 23 | 63 | 5 | 281 | 452 | 123 | 217 | 9.29% | 160 | 16.75 | 3 | 4 | 7 | 306 | 1 | 2 | 3 | 192 | 5 | 3 | 44.92% | 788 | 93 | 97 | 0 | 1 | 0.51 | 3 | 14 |
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 | Elvis Merzlikins | Penguins | 11 | 6 | 1 | 3 | 0.904 | 2.85 | 632 | 0 | 0 | 30 | 312 | 172 | 1 | 0 | 0.833 | 12 | 10 | 4 | 1 | 1 | 1 |
2 | Pheonix Copley | Penguins | 4 | 1 | 2 | 1 | 0.902 | 3.16 | 228 | 0 | 0 | 12 | 122 | 66 | 0 | 0 | 0.000 | 2 | 4 | 10 | 1 | 0 | 0 |
Team Total or Average | 15 | 7 | 3 | 4 | 0.903 | 2.93 | 861 | 0 | 0 | 42 | 434 | 238 | 1 | 0 | 0.714 | 14 | 14 | 14 | 2 | 1 | 1 |
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 | Ducks | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 32 | 10 | 7 | 14 | 3 | 34 | 11 | 4 | 14 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 22 | 13 | 23 | 9 | 19 | 9 | 50.0% | 9.4% | 88.2% | 97.6 | FUN |
2 | Canadiens | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 6 | 2 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 1 | 3 | 4 | 0 | 60 | 15 | 20 | 25 | 2 | 68 | 23 | 10 | 42 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 38 | 19 | 48 | 20 | 38 | 19 | 57.1% | 13.3% | 91.2% | 104.5 | LUCKY |
3 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 35 | 6 | 14 | 15 | 0 | 24 | 15 | 2 | 19 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 22 | 12 | 21 | 8 | 16 | 9 | 66.7% | 8.6% | 95.8% | 104.4 | DULL |
4 | Red Wings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 26 | 12 | 7 | 7 | 0 | 28 | 18 | 6 | 18 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 19 | 10 | 23 | 8 | 17 | 7 | 22.2% | 7.7% | 75.0% | 82.7 | Unlucky |
5 | Canucks | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 0 | 1 | 2 | 25 | 7 | 7 | 10 | 3 | 36 | 13 | 9 | 17 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 1 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 22 | 12 | 23 | 9 | 19 | 10 | 66.7% | 12.0% | 94.4% | 106.4 | LUCKY |
6 | Maple Leafs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 32 | 10 | 9 | 13 | 0 | 31 | 11 | 2 | 23 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 21 | 11 | 21 | 8 | 17 | 9 | 42.9% | 9.4% | 87.1% | 96.5 | FUN |
7 | Jets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 42 | 11 | 16 | 15 | 0 | 30 | 11 | 2 | 19 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 21 | 13 | 22 | 8 | 16 | 8 | 40.0% | 4.8% | 90.0% | 94.8 | Unlucky |
8 | Oilers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 31 | 6 | 15 | 10 | 0 | 26 | 7 | 0 | 22 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 20 | 10 | 19 | 10 | 20 | 10 | 66.7% | 12.9% | 92.3% | 105.2 | LUCKY |
9 | Sabres | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 5 | 10 | 0 | 0 | 3 | 1 | 0 | 1 | 45 | 14 | 20 | 11 | 7 | 30 | 6 | 2 | 19 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 23 | 14 | 21 | 9 | 20 | 9 | 55.6% | 11.1% | 86.7% | 97.8 | FUN |
10 | Rangers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 30 | 15 | 5 | 10 | 0 | 34 | 14 | 8 | 14 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 19 | 11 | 23 | 8 | 16 | 8 | 100.0% | 6.7% | 97.1% | 103.7 | DULL |
11 | Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 6 | 4 | 19 | 0 | 34 | 10 | 8 | 27 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 19 | 10 | 21 | 9 | 19 | 8 | 100.0% | 10.3% | 94.1% | 104.5 | LUCKY |
12 | Hurricanes | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 39 | 12 | 11 | 16 | 0 | 37 | 9 | 6 | 22 | 2 | 1 | 50.00% | 3 | 2 | 33.33% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 20 | 11 | 23 | 8 | 17 | 9 | 50.0% | 12.8% | 83.8% | 96.6 | FUN |
13 | Flames | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 8 | 11 | 7 | 0 | 22 | 12 | 4 | 25 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 22 | 12 | 19 | 9 | 18 | 9 | 33.3% | 3.8% | 90.9% | 94.8 | Unlucky |
_Vs Division | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 5 | 0.833 | 10 | 18 | 28 | 0 | 0 | 5 | 4 | 1 | 0 | 104 | 33 | 30 | 41 | 0 | 95 | 38 | 16 | 55 | 9 | 2 | 22.22% | 8 | 3 | 62.50% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 61 | 34 | 68 | 24 | 50 | 27 | 61.5% | 9.6% | 91.6% | 101.2 | LUCKY | |
_Vs Conference | 8 | 3 | 2 | 0 | 0 | 1 | 1 | 1 | 28 | 29 | -1 | 10 | 0.625 | 28 | 45 | 73 | 0 | 0 | 10 | 10 | 7 | 1 | 267 | 84 | 86 | 97 | 9 | 252 | 96 | 36 | 157 | 21 | 2 | 9.52% | 18 | 3 | 83.33% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 164 | 91 | 182 | 71 | 144 | 73 | 50.0% | 10.5% | 88.5% | 99.0 | FUN | |
_Since Last GM Reset | 14 | 5 | 3 | 0 | 0 | 2 | 2 | 2 | 44 | 44 | 0 | 18 | 0.643 | 44 | 65 | 109 | 0 | 0 | 14 | 15 | 13 | 3 | 452 | 132 | 146 | 172 | 15 | 434 | 160 | 63 | 281 | 34 | 3 | 8.82% | 30 | 7 | 76.67% | 1 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 292 | 163 | 311 | 127 | 258 | 130 | 52.6% | 9.7% | 89.9% | 99.6 | FUN | |
Total | 14 | 5 | 3 | 0 | 0 | 2 | 2 | 2 | 44 | 44 | 0 | 18 | 0.643 | 44 | 65 | 109 | 0 | 0 | 14 | 15 | 13 | 3 | 452 | 132 | 146 | 172 | 15 | 434 | 160 | 63 | 281 | 34 | 3 | 8.82% | 30 | 7 | 76.67% | 1 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 292 | 163 | 311 | 127 | 258 | 130 | 52.6% | 9.7% | 89.9% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 285 |
Neutral Zone Start | 210 |
Defensive Zone Start | 272 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 354 |
Faceoffs Lost | 413 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 32.1 | 30.68 |
Overtime | 33.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 3 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 3 |
Lost | 0 | 3 |
Overtime Lost | 2 | 2 |
PP Attempt | 34 |
---|---|
PP Goal | 3 |
PK Attempt | 30 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 32.3 |
Shots Against | 31.0 |
Goals For | 3.1 |
Goals Against | 3.1 |
Hits | 20.1 |
Shots Blocked | 11.4 |
Pim | 4.5 |
Projected Total Cap Hit | 83,008,334$ |
Projected Cap Space | 491,666$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 14,399,408$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Penguins Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Goligoski | D | 38 | 2,000,000$ | 2,000,000$ | |||||||
Alexander Nylander | LW/RW | 25 | 775,000$ | 775,000$ | |||||||
Barclay Goodrow | C/LW | 30 | 3,641,667$ | 3,641,667$ | 3,641,667$ | 3,641,667$ | 3,641,667$ | ||||
Carl Grundstrom | RW | 25 | 1,300,000$ | 1,300,000$ | |||||||
Colin Blackwell | C/RW | 30 | 1,200,000$ | 1,200,000$ | |||||||
Eeli Tolvanen | RW | 24 | 1,450,000$ | 1,450,000$ | |||||||
Elvis Merzlikins | G | 29 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | ||||
Jakob Silfverberg | LW/RW | 32 | 5,250,000$ | 5,250,000$ | |||||||
Juuso Parssinen | C | 22 | 925,000$ | 925,000$ | |||||||
Kaapo Kakko | RW | 22 | 2,100,000$ | 2,100,000$ | |||||||
Matthew Highmore | LW/RW | 27 | 775,000$ | 775,000$ | |||||||
Mike Reilly | D | 30 | 3,000,000$ | 3,000,000$ | |||||||
Neal Pionk | D | 28 | 5,875,000$ | 5,875,000$ | 5,875,000$ | ||||||
Ondrej Palat | RW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||
Pavel Zacha | C/LW | 26 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | ||||
Pheonix Copley | G | 31 | 1,500,000$ | 1,500,000$ | |||||||
Seth Jones | D | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |
Sonny Milano | RW | 27 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | |||||
Taylor Hall | LW | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||||
Trevor Zegras | C/LW | 22 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | |||||
Troy Terry | RW | 26 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |
Tyler Myers | D | 33 | 6,000,000$ | 6,000,000$ | |||||||
Wyatt Kaiser | D | 21 | 916,667$ | 916,667$ | 916,667$ |
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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 | Ducks | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 32 | 10 | 7 | 14 | 3 | 34 | 11 | 4 | 14 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 22 | 13 | 23 | 9 | 19 | 9 | 50.0% | 9.4% | 88.2% | 97.6 | FUN |
2 | Canadiens | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 6 | 2 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 1 | 3 | 4 | 0 | 60 | 15 | 20 | 25 | 2 | 68 | 23 | 10 | 42 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 38 | 19 | 48 | 20 | 38 | 19 | 57.1% | 13.3% | 91.2% | 104.5 | LUCKY |
3 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 35 | 6 | 14 | 15 | 0 | 24 | 15 | 2 | 19 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 22 | 12 | 21 | 8 | 16 | 9 | 66.7% | 8.6% | 95.8% | 104.4 | DULL |
4 | Red Wings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 26 | 12 | 7 | 7 | 0 | 28 | 18 | 6 | 18 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 19 | 10 | 23 | 8 | 17 | 7 | 22.2% | 7.7% | 75.0% | 82.7 | Unlucky |
5 | Canucks | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 0 | 1 | 2 | 25 | 7 | 7 | 10 | 3 | 36 | 13 | 9 | 17 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 1 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 22 | 12 | 23 | 9 | 19 | 10 | 66.7% | 12.0% | 94.4% | 106.4 | LUCKY |
6 | Maple Leafs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 32 | 10 | 9 | 13 | 0 | 31 | 11 | 2 | 23 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 21 | 11 | 21 | 8 | 17 | 9 | 42.9% | 9.4% | 87.1% | 96.5 | FUN |
7 | Jets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 42 | 11 | 16 | 15 | 0 | 30 | 11 | 2 | 19 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 21 | 13 | 22 | 8 | 16 | 8 | 40.0% | 4.8% | 90.0% | 94.8 | Unlucky |
8 | Oilers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 31 | 6 | 15 | 10 | 0 | 26 | 7 | 0 | 22 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 20 | 10 | 19 | 10 | 20 | 10 | 66.7% | 12.9% | 92.3% | 105.2 | LUCKY |
9 | Sabres | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 5 | 10 | 0 | 0 | 3 | 1 | 0 | 1 | 45 | 14 | 20 | 11 | 7 | 30 | 6 | 2 | 19 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 23 | 14 | 21 | 9 | 20 | 9 | 55.6% | 11.1% | 86.7% | 97.8 | FUN |
10 | Rangers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 30 | 15 | 5 | 10 | 0 | 34 | 14 | 8 | 14 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 19 | 11 | 23 | 8 | 16 | 8 | 100.0% | 6.7% | 97.1% | 103.7 | DULL |
11 | Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 6 | 4 | 19 | 0 | 34 | 10 | 8 | 27 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 19 | 10 | 21 | 9 | 19 | 8 | 100.0% | 10.3% | 94.1% | 104.5 | LUCKY |
12 | Hurricanes | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 39 | 12 | 11 | 16 | 0 | 37 | 9 | 6 | 22 | 2 | 1 | 50.00% | 3 | 2 | 33.33% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 20 | 11 | 23 | 8 | 17 | 9 | 50.0% | 12.8% | 83.8% | 96.6 | FUN |
13 | Flames | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 8 | 11 | 7 | 0 | 22 | 12 | 4 | 25 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 22 | 12 | 19 | 9 | 18 | 9 | 33.3% | 3.8% | 90.9% | 94.8 | Unlucky |
_Vs Division | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 5 | 0.833 | 10 | 18 | 28 | 0 | 0 | 5 | 4 | 1 | 0 | 104 | 33 | 30 | 41 | 0 | 95 | 38 | 16 | 55 | 9 | 2 | 22.22% | 8 | 3 | 62.50% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 61 | 34 | 68 | 24 | 50 | 27 | 61.5% | 9.6% | 91.6% | 101.2 | LUCKY | |
_Vs Conference | 8 | 3 | 2 | 0 | 0 | 1 | 1 | 1 | 28 | 29 | -1 | 10 | 0.625 | 28 | 45 | 73 | 0 | 0 | 10 | 10 | 7 | 1 | 267 | 84 | 86 | 97 | 9 | 252 | 96 | 36 | 157 | 21 | 2 | 9.52% | 18 | 3 | 83.33% | 0 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 164 | 91 | 182 | 71 | 144 | 73 | 50.0% | 10.5% | 88.5% | 99.0 | FUN | |
_Since Last GM Reset | 14 | 5 | 3 | 0 | 0 | 2 | 2 | 2 | 44 | 44 | 0 | 18 | 0.643 | 44 | 65 | 109 | 0 | 0 | 14 | 15 | 13 | 3 | 452 | 132 | 146 | 172 | 15 | 434 | 160 | 63 | 281 | 34 | 3 | 8.82% | 30 | 7 | 76.67% | 1 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 292 | 163 | 311 | 127 | 258 | 130 | 52.6% | 9.7% | 89.9% | 99.6 | FUN | |
Total | 14 | 5 | 3 | 0 | 0 | 2 | 2 | 2 | 44 | 44 | 0 | 18 | 0.643 | 44 | 65 | 109 | 0 | 0 | 14 | 15 | 13 | 3 | 452 | 132 | 146 | 172 | 15 | 434 | 160 | 63 | 281 | 34 | 3 | 8.82% | 30 | 7 | 76.67% | 1 | 143 | 285 | 50.18% | 116 | 272 | 42.65% | 95 | 210 | 45.24% | 292 | 163 | 311 | 127 | 258 | 130 | 52.6% | 9.7% | 89.9% | 99.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 285 |
Neutral Zone Start | 210 |
Defensive Zone Start | 272 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 354 |
Faceoffs Lost | 413 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 32.1 | 30.68 |
Overtime | 33.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 3 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 3 |
Lost | 0 | 3 |
Overtime Lost | 2 | 2 |
PP Attempt | 34 |
---|---|
PP Goal | 3 |
PK Attempt | 30 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 32.3 |
Shots Against | 31.0 |
Goals For | 3.1 |
Goals Against | 3.1 |
Hits | 20.1 |
Shots Blocked | 11.4 |
Pim | 4.5 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,008,334$ | 0$ | 83,008,334$ | 491,666$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | PPG Paints Arena | ||
City | Pittsburgh | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 32533 | 29227 | 11332 | 22464 | 5615 |
Attendance PCT | 90.37% | 97.42% | 94.43% | 93.60% | 93.58% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
35 | 16862 - 93.68% | 602,492$ | 3,614,952$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,008,334$ | 83,008,334$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
14,399,408$ | 83,008,334$ | 14,399,408$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
21,087,220$ | 162 | 423,512$ | 68,608,944$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
74,776,768$ | 83,008,334$ | -533,788,347$ | -587,477,895$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo pit 2024 | Penguins | ||||
AJ Spellacy | Penguins | 2024 | 84 | ||
Aaron Pionk | Penguins | 2023 | 158 | ||
Aidan Mcdonough | Penguins | 2019 | 192 | ||
Albin Sundsvik | Penguins | 2020 | 160 | ||
Alex Cech | Penguins | 2024 | 168 | ||
Alexander Gordin | Penguins | 2020 | 170 | ||
Andre Lee | Penguins | 2019 | 171 | ||
Bear Hughes | Penguins | 2020 | 149 | ||
Benjamin Roger | Penguins | 2021 | 58 | ||
Brad Gardiner | Penguins | 2023 | 98 | ||
Brandon Coe | Penguins | 2020 | 111 | ||
Brandon Lisowsky | Penguins | 2022 | 220 | ||
Bryce Montgomery | Penguins | 2021 | 175 | ||
Cameron Whitehead | Penguins | 2022 | 129 | ||
Chris Romaine | Penguins | 2022 | 188 | ||
Cole Reinhardt | Penguins | 2020 | 183 | ||
David Gucciardi | Penguins | 2022 | 211 | ||
Ethan Haider | Penguins | 2019 | 94 | ||
Ethan Hay | Penguins | 2023 | 214 | ||
Filip Eriksson | Penguins | 2023 | 162 | ||
Finn Harding | Penguins | 2024 | 223 | ||
Garlin Bjorklund | Penguins | 2020 | 180 | ||
Greg Meireles | Penguins | 2019 | 156 | ||
Jack Berglund | Penguins | 2024 | 68 | ||
Jack Harvey | Penguins | 2023 | 190 | ||
Jacob Fowler | Penguins | 2023 | 32 | ||
Jakov Novak | Penguins | 2018 | 191 | ||
Jakub Demek | Penguins | 2021 | 133 | ||
Jakub Stancl | Penguins | 2023 | 118 | ||
Jayson Shaugabay | Penguins | 2023 | 126 | ||
Jeremy Hanzel | Penguins | 2023 | 194 | ||
Jesse Nurmi | Penguins | 2023 | 121 | ||
Joshua Bloom | Penguins | 2021 | 101 | ||
Kristian Kostadinski | Penguins | 2023 | 222 | ||
Layton Ahac | Penguins | 2019 | 87 | ||
Luca Munzenberger | Penguins | 2021 | 99 | ||
Mathias Laferriere | Penguins | 2018 | 160 | ||
Matthew Andonovski | Penguins | 2023 | 150 | ||
Matthew Morden | Penguins | 2022 | 124 | ||
Max Plante | Penguins | 2024 | 63 | ||
Michael Krutil | Penguins | 2020 | 118 | ||
Miroslav Holinka | Penguins | 2024 | 165 | ||
Nicholas Moldenhauer | Penguins | 2022 | 113 | ||
Oliver Bonk | Penguins | 2023 | 23 | ||
Ollie Josephson | Penguins | 2024 | 120 | ||
Oskar Magnusson | Penguins | 2020 | 211 | ||
Owen Beck | Penguins | 2022 | 37 | ||
Parker Alcos | Penguins | 2024 | 198 | ||
Quinn Finley | Penguins | 2022 | 92 | ||
Sacha Boisvert | Penguins | 2024 | 17 | ||
Stevie Leskovar | Penguins | 2024 | 191 | ||
Trevor Connelly | Penguins | 2024 | 13 | ||
Ty Mueller | Penguins | 2023 | 120 | ||
Zachary Schultz | Penguins | 2023 | 182 |
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