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Pittsburgh Penguins 25-23-9, 59pts · 13th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 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$/4yrs | |||
![]() | 0 | C | 100.00 | 79 | 44 | 91 | 77 | 75 | 68 | 84 | 72 | 57 | 59 | 71 | 66 | 25 | 55 | 55 | 70 | 50 | 0 | 22 | 925,000$/1yrs | |||
![]() | 0 | LW | 98.00 | 82 | 75 | 99 | 88 | 75 | 54 | 57 | 47 | 50 | 72 | 72 | 73 | 42 | 79 | 81 | 55 | 50 | 0 | 31 | 6,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 43 | 92 | 76 | 65 | 67 | 66 | 66 | 46 | 59 | 71 | 83 | 59 | 66 | 67 | 72 | 50 | 0 | 30 | 1,200,000$/1yrs | |||
![]() | 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$/4yrs | |||
![]() | 0 | RW | 100.00 | 63 | 42 | 88 | 80 | 74 | 65 | 89 | 71 | 54 | 60 | 72 | 64 | 63 | 66 | 68 | 69 | 50 | 0 | 22 | 2,100,000$/1yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | RW | 100.00 | 91 | 45 | 90 | 78 | 68 | 70 | 88 | 82 | 36 | 75 | 72 | 67 | 25 | 65 | 67 | 75 | 50 | 0 | 24 | 1,450,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 59 | 41 | 89 | 84 | 68 | 78 | 90 | 82 | 34 | 81 | 77 | 66 | 53 | 67 | 67 | 77 | 50 | 0 | 26 | 7,000,000$/7yrs | |||
![]() | 0 | RW | 100.00 | 78 | 54 | 84 | 82 | 69 | 70 | 77 | 72 | 32 | 73 | 68 | 70 | 37 | 77 | 85 | 72 | 50 | 0 | 32 | 6,000,000$/5yrs | |||
![]() | 0 | C/LW | 98.00 | 65 | 42 | 73 | 84 | 68 | 75 | 73 | 81 | 55 | 74 | 71 | 63 | 85 | 63 | 63 | 72 | 50 | 0 | 22 | 5,750,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 63 | 41 | 93 | 84 | 70 | 62 | 76 | 68 | 25 | 63 | 82 | 64 | 53 | 64 | 64 | 74 | 50 | 0 | 27 | 1,900,000$/3yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 42 | 80 | 71 | 64 | 72 | 71 | 62 | 25 | 56 | 47 | 83 | 25 | 46 | 46 | 62 | 50 | 0 | 21 | 916,667$/2yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | D | 99.00 | 76 | 44 | 85 | 86 | 78 | 93 | 87 | 89 | 25 | 66 | 53 | 86 | 25 | 78 | 78 | 72 | 50 | 0 | 28 | 9,500,000$/7yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 85 | 81 | 74 | 71 | 70 | 74 | 25 | 64 | 50 | 65 | 25 | 67 | 68 | 64 | 50 | 0 | 30 | 3,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 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$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 42 | 92 | 78 | 71 | 73 | 85 | 81 | 42 | 62 | 87 | 60 | 25 | 47 | 47 | 76 | 50 | 0 | 25 | 775,000$/1yrs | |||
![]() | 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$/1yrs | |||
TEAM AVERAGE | 99.71 | 74 | 49 | 86 | 80 | 72 | 70 | 81 | 72 | 42 | 66 | 65 | 72 | 50 | 68 | 69 | 69 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 65 | 58 | 73 | 83 | 68 | 65 | 70 | 68 | 68 | 67 | 45 | 54 | 55 | 64 | 50 | 0 | 31 | 1,500,000$/1yrs |
![]() | 0 | 100.00 | 63 | 65 | 65 | 73 | 65 | 60 | 71 | 66 | 65 | 63 | 95 | 62 | 63 | 65 | 50 | 0 | 29 | 5,400,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 64 | 62 | 69 | 78 | 67 | 63 | 71 | 67 | 67 | 65 | 70 | 58 | 59 | 65 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 79 | 56 | 83 | 80 | 64 | 64 | 78 | 68 | 50 | 62 | 68 | 63 | 25 | 55 | 55 | 69 | 68 | 0 | 21 | 875,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 60 | 63 | 53 | 67 | 63 | 69 | 75 | 47 | 50 | 43 | 46 | 53 | 44 | 45 | 45 | 51 | 68 | 0 | 22 | 848,333$/1yrs | |||
![]() | 0 | LW | 100.00 | 71 | 42 | 94 | 75 | 59 | 54 | 62 | 64 | 46 | 62 | 58 | 70 | 25 | 47 | 47 | 64 | 68 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 76 | 87 | 70 | 76 | 78 | 81 | 67 | 80 | 62 | 68 | 68 | 65 | 45 | 45 | 70 | 68 | 0 | 22 | 789,167$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 83 | 76 | 99 | 59 | 76 | 52 | 49 | 66 | 80 | 68 | 61 | 69 | 58 | 44 | 44 | 66 | 68 | 0 | 21 | 545,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 86 | 96 | 63 | 67 | 96 | 77 | 81 | 63 | 79 | 59 | 63 | 70 | 60 | 44 | 44 | 67 | 68 | 0 | 23 | 832,500$/1yrs | |||
![]() | 0 | LW | 100.00 | 86 | 88 | 81 | 69 | 88 | 75 | 79 | 61 | 50 | 55 | 62 | 70 | 59 | 46 | 46 | 66 | 30 | 0 | 25 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 86 | 75 | 87 | 72 | 67 | 57 | 83 | 65 | 44 | 61 | 70 | 68 | 25 | 60 | 61 | 69 | 30 | 0 | 29 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 42 | 85 | 76 | 71 | 65 | 80 | 61 | 25 | 55 | 47 | 67 | 25 | 48 | 48 | 60 | 68 | 0 | 19 | 918,333$/3yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 62 | 68 | 65 | 73 | 65 | 58 | 69 | 63 | 65 | 62 | 75 | 48 | 48 | 64 | 68 | 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 |
---|
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 | 0 | RW | 57 | 32 | 33 | 65 | 6 | 24 | 10 | 61 | 248 | 71 | 126 | 12.90% | 29 | 19.04 | 5 | 9 | 14 | 127 | 0 | 0 | 0 | 0 | 0 | 2 | 33.71% | 89 | 50 | 26 | 0 | 0 | 1.20 | 0 | 0 | ||
2 | Trevor Zegras | 0 | C/LW | 57 | 25 | 36 | 61 | 3 | 52 | 0 | 116 | 206 | 64 | 140 | 12.14% | 22 | 20.68 | 6 | 9 | 15 | 128 | 1 | 0 | 1 | 91 | 2 | 1 | 39.56% | 1595 | 45 | 22 | 0 | 1 | 1.03 | 5 | 12 | ||
3 | Pavel Zacha | 0 | C/LW | 57 | 19 | 23 | 42 | -9 | 2 | 0 | 80 | 188 | 46 | 114 | 10.11% | 22 | 19.09 | 1 | 5 | 6 | 114 | 0 | 1 | 1 | 123 | 1 | 0 | 57.57% | 575 | 43 | 14 | 0 | 0 | 0.77 | 5 | 13 | ||
4 | Eeli Tolvanen | 0 | RW | 57 | 15 | 21 | 36 | -7 | 4 | 0 | 75 | 181 | 55 | 111 | 8.29% | 17 | 15.71 | 5 | 3 | 8 | 111 | 0 | 0 | 0 | 0 | 4 | 1 | 36.67% | 30 | 30 | 12 | 0 | 1 | 0.80 | 1 | 9 | ||
5 | Seth Jones | 0 | D | 57 | 8 | 20 | 28 | -9 | 36 | 0 | 93 | 128 | 53 | 42 | 6.25% | 80 | 27.21 | 4 | 5 | 9 | 155 | 0 | 2 | 2 | 117 | 0 | 1 | 0.00% | 0 | 33 | 46 | 0 | 0 | 0.36 | 0 | 1 | ||
6 | Ondrej Palat | 0 | RW | 57 | 12 | 16 | 28 | -4 | 14 | 0 | 71 | 112 | 39 | 82 | 10.71% | 18 | 12.09 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 8 | 3 | 0 | 37.14% | 35 | 34 | 12 | 1 | 0 | 0.81 | 0 | 0 | ||
7 | Taylor Hall | 0 | LW | 57 | 10 | 14 | 24 | 3 | 22 | 20 | 80 | 69 | 24 | 42 | 14.49% | 21 | 19.98 | 3 | 3 | 6 | 127 | 0 | 0 | 0 | 50 | 2 | 0 | 46.99% | 83 | 24 | 22 | 0 | 0 | 0.42 | 3 | 5 | ||
8 | Neal Pionk | 0 | D | 57 | 2 | 20 | 22 | -8 | 57 | 5 | 116 | 78 | 29 | 34 | 2.56% | 85 | 24.22 | 0 | 0 | 0 | 14 | 0 | 1 | 1 | 99 | 0 | 0 | 0.00% | 0 | 13 | 56 | 0 | 0 | 0.32 | 0 | 0 | ||
9 | Kaapo Kakko | 0 | RW | 57 | 12 | 9 | 21 | -1 | 9 | 5 | 36 | 87 | 33 | 40 | 13.79% | 12 | 11.54 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 1 | 1 | 37.50% | 16 | 11 | 10 | 0 | 0 | 0.64 | 0 | 1 | ||
10 | Juuso Parssinen | 0 | C | 57 | 9 | 9 | 18 | -9 | 6 | 0 | 67 | 57 | 13 | 38 | 15.79% | 16 | 17.05 | 1 | 2 | 3 | 104 | 1 | 0 | 1 | 59 | 2 | 2 | 38.36% | 73 | 10 | 15 | 0 | 0 | 0.37 | 1 | 3 | ||
11 | Sonny Milano | 0 | RW | 57 | 7 | 11 | 18 | 0 | 0 | 0 | 32 | 128 | 37 | 60 | 5.47% | 6 | 9.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 10.00% | 10 | 25 | 8 | 0 | 0 | 0.70 | 0 | 0 | ||
12 | Jakob Silfverberg | 0 | LW/RW | 57 | 9 | 8 | 17 | -1 | 10 | 0 | 34 | 95 | 26 | 46 | 9.47% | 17 | 10.08 | 0 | 0 | 0 | 12 | 1 | 0 | 1 | 7 | 1 | 2 | 36.51% | 126 | 14 | 8 | 0 | 0 | 0.59 | 0 | 1 | ||
13 | Barclay Goodrow | 0 | C/LW | 57 | 6 | 10 | 16 | -2 | 26 | 10 | 93 | 63 | 13 | 41 | 9.52% | 27 | 15.73 | 1 | 0 | 1 | 101 | 0 | 0 | 0 | 86 | 1 | 0 | 52.42% | 372 | 18 | 14 | 0 | 0 | 0.36 | 0 | 0 | ||
14 | Tyler Myers | 0 | D | 57 | 0 | 13 | 13 | 5 | 46 | 0 | 95 | 49 | 16 | 25 | 0.00% | 80 | 21.16 | 0 | 2 | 2 | 149 | 0 | 0 | 0 | 81 | 0 | 0 | 0.00% | 0 | 14 | 37 | 0 | 0 | 0.22 | 0 | 0 | ||
15 | Alex Goligoski | 0 | D | 57 | 1 | 12 | 13 | 1 | 8 | 0 | 40 | 34 | 16 | 9 | 2.94% | 47 | 16.72 | 1 | 2 | 3 | 98 | 0 | 0 | 0 | 99 | 0 | 0 | 0.00% | 0 | 10 | 21 | 0 | 0 | 0.27 | 1 | 1 | ||
16 | Wyatt Kaiser | 0 | D | 57 | 1 | 8 | 9 | 0 | 14 | 0 | 53 | 27 | 16 | 13 | 3.70% | 34 | 13.89 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 3 | 36 | 0 | 0 | 0.23 | 0 | 0 | ||
17 | Colin Blackwell | 0 | C/RW | 57 | 5 | 4 | 9 | 2 | 4 | 0 | 61 | 49 | 16 | 25 | 10.20% | 21 | 9.70 | 0 | 0 | 0 | 6 | 0 | 1 | 1 | 6 | 2 | 0 | 35.76% | 165 | 10 | 17 | 0 | 0 | 0.33 | 0 | 0 | ||
18 | Mike Reilly | 0 | D | 57 | 0 | 7 | 7 | 4 | 6 | 0 | 41 | 26 | 11 | 16 | 0.00% | 41 | 16.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 2 | 18 | 0 | 0 | 0.15 | 0 | 0 | ||
19 | Carl Grundstrom | 0 | RW | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.43 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Alexander Nylander | 0 | LW/RW | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 0 | 0.76 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1074 | 173 | 274 | 447 | -26 | 340 | 50 | 1246 | 1826 | 578 | 1005 | 9.47% | 595 | 15.90 | 27 | 40 | 67 | 1275 | 3 | 5 | 8 | 874 | 19 | 12 | 43.86% | 3169 | 389 | 394 | 1 | 2 | 0.52 | 16 | 46 |
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 | 26 | 14 | 7 | 3 | 0.900 | 3.02 | 1432 | 0 | 0 | 72 | 722 | 401 | 2 | 1 | 0.867 | 15 | 24 | 33 | 1 | 2 | 1 | |
2 | Pheonix Copley | 35 | 11 | 16 | 6 | 0.902 | 3.13 | 2049 | 2 | 0 | 107 | 1091 | 611 | 2 | 2 | 0.483 | 29 | 33 | 24 | 3 | 3 | 0 | |
Team Total or Average | 61 | 25 | 23 | 9 | 0.901 | 3.08 | 3482 | 2 | 0 | 179 | 1813 | 1012 | 4 | 3 | 0.614 | 44 | 57 | 57 | 4 | 5 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 29 | 10 | 8 | 11 | 0 | 39 | 11 | 7 | 33 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 19 | 11 | 24 | 8 | 16 | 8 | 50.0% | 6.9% | 92.3% | 99.2 | DULL | |
2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 1 | 0 | 61 | 15 | 21 | 24 | 3 | 64 | 20 | 10 | 38 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 24 | 45 | 18 | 36 | 17 | 44.4% | 6.6% | 89.1% | 95.6 | Unlucky | |
3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 10 | -1 | 3 | 0.500 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 91 | 29 | 27 | 35 | 2 | 103 | 36 | 14 | 64 | 10 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 58 | 31 | 71 | 29 | 54 | 27 | 47.4% | 9.9% | 90.3% | 100.2 | FUN | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 1 | 4 | 0 | 69 | 16 | 26 | 27 | 0 | 63 | 15 | 16 | 44 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 43 | 24 | 40 | 18 | 35 | 17 | 41.7% | 8.7% | 85.7% | 94.4 | Unlucky | |
5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.500 | 9 | 13 | 22 | 0 | 0 | 2 | 6 | 1 | 0 | 104 | 29 | 41 | 34 | 3 | 99 | 30 | 14 | 58 | 12 | 1 | 8.33% | 7 | 1 | 85.71% | 1 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 66 | 37 | 65 | 25 | 52 | 27 | 50.0% | 8.7% | 90.9% | 99.6 | Unlucky | |
6 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 4 | 0.667 | 6 | 6 | 12 | 0 | 0 | 1 | 4 | 0 | 2 | 83 | 27 | 29 | 25 | 6 | 81 | 32 | 29 | 60 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 63 | 34 | 64 | 27 | 57 | 28 | 35.7% | 7.2% | 88.9% | 96.1 | Unlucky | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 71 | 26 | 27 | 18 | 0 | 60 | 17 | 6 | 39 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 45 | 27 | 40 | 17 | 34 | 17 | 23.1% | 4.2% | 83.3% | 87.6 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 4 | 2 | 0 | 73 | 29 | 23 | 21 | 0 | 52 | 20 | 10 | 33 | 5 | 1 | 20.00% | 5 | 3 | 40.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 44 | 27 | 41 | 17 | 34 | 17 | 75.0% | 9.6% | 90.4% | 100.0 | FUN | |
9 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 2 | 0 | 0 | 1 | 33 | 8 | 16 | 8 | 1 | 37 | 8 | 4 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 21 | 12 | 19 | 8 | 18 | 9 | 60.0% | 9.1% | 94.6% | 103.7 | LUCKY | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 49 | 13 | 19 | 17 | 0 | 73 | 20 | 8 | 46 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 37 | 19 | 46 | 17 | 36 | 18 | 44.4% | 8.2% | 91.8% | 99.9 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 4 | 0 | 2 | 2 | 62 | 22 | 14 | 25 | 3 | 68 | 24 | 16 | 51 | 8 | 2 | 25.00% | 3 | 1 | 66.67% | 1 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 46 | 26 | 41 | 16 | 36 | 19 | 62.5% | 11.3% | 94.1% | 105.4 | LUCKY | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 2 | 2 | 5 | 0 | 59 | 19 | 14 | 26 | 0 | 55 | 18 | 6 | 42 | 12 | 2 | 16.67% | 3 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 23 | 41 | 17 | 35 | 19 | 58.3% | 15.3% | 90.9% | 106.2 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 40 | 4 | 12 | 24 | 0 | 32 | 15 | 0 | 30 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 20 | 12 | 21 | 9 | 17 | 8 | 40.0% | 5.0% | 90.6% | 95.6 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 1 | 0 | 1 | 2 | 2 | 0 | 54 | 12 | 21 | 21 | 0 | 69 | 20 | 29 | 44 | 4 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 39 | 20 | 44 | 20 | 36 | 16 | 62.5% | 9.3% | 94.2% | 103.5 | LUCKY | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 80 | 27 | 28 | 25 | 0 | 58 | 16 | 8 | 42 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 24 | 42 | 17 | 34 | 17 | 33.3% | 6.3% | 86.2% | 92.5 | Unlucky | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 4 | 1.000 | 12 | 18 | 30 | 0 | 0 | 2 | 6 | 4 | 0 | 71 | 22 | 33 | 16 | 0 | 50 | 14 | 7 | 46 | 8 | 2 | 25.00% | 1 | 0 | 100.00% | 1 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 24 | 38 | 19 | 38 | 19 | 76.9% | 16.9% | 94.0% | 110.9 | LUCKY | |
17 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 7 | 13 | 0 | 0 | 3 | 2 | 0 | 2 | 80 | 20 | 36 | 23 | 12 | 57 | 7 | 14 | 47 | 1 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 44 | 25 | 43 | 20 | 41 | 19 | 50.0% | 7.5% | 89.5% | 97.0 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 12 | 19 | 2 | 0 | 2 | 1 | 4 | 0 | 68 | 24 | 16 | 28 | 0 | 70 | 24 | 4 | 46 | 5 | 3 | 60.00% | 2 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 24 | 41 | 16 | 35 | 18 | 26.7% | 10.3% | 84.3% | 94.6 | FUN | |
19 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 8 | -1 | 4 | 0.667 | 7 | 10 | 17 | 0 | 0 | 2 | 3 | 2 | 2 | 97 | 32 | 24 | 41 | 6 | 96 | 32 | 24 | 47 | 7 | 1 | 14.29% | 12 | 2 | 83.33% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 65 | 37 | 69 | 28 | 54 | 27 | 50.0% | 7.2% | 91.7% | 98.9 | DULL | |
20 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 10 | 19 | 0 | 0 | 2 | 2 | 3 | 3 | 52 | 13 | 18 | 21 | 5 | 63 | 21 | 4 | 41 | 6 | 3 | 50.00% | 2 | 1 | 50.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 38 | 19 | 47 | 20 | 43 | 21 | 50.0% | 17.3% | 88.9% | 106.2 | FUN | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 64 | 21 | 20 | 23 | 0 | 80 | 20 | 8 | 46 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 41 | 24 | 42 | 18 | 35 | 17 | 50.0% | 7.8% | 91.3% | 99.1 | DULL | |
22 | 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 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 19 | 10 | 21 | 9 | 19 | 8 | 100.0% | 10.3% | 94.1% | 104.5 | LUCKY | |
23 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 3 | 0 | 1 | 4 | 53 | 32 | 11 | 10 | 5 | 55 | 18 | 20 | 39 | 3 | 1 | 33.33% | 10 | 3 | 70.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 39 | 21 | 43 | 19 | 41 | 18 | 57.1% | 9.4% | 89.1% | 98.5 | FUN | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 0.500 | 10 | 17 | 27 | 0 | 0 | 3 | 4 | 3 | 0 | 78 | 19 | 28 | 31 | 0 | 64 | 35 | 13 | 55 | 8 | 3 | 37.50% | 4 | 2 | 50.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 23 | 40 | 17 | 36 | 18 | 53.8% | 12.8% | 87.5% | 100.3 | FUN | |
25 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 11 | -5 | 1 | 0.250 | 6 | 9 | 15 | 0 | 0 | 1 | 2 | 3 | 1 | 57 | 21 | 19 | 17 | 5 | 67 | 22 | 9 | 37 | 8 | 1 | 12.50% | 2 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 24 | 44 | 18 | 37 | 20 | 31.3% | 10.5% | 83.6% | 94.1 | FUN | |
26 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 11 | 0 | 3 | 0.500 | 11 | 20 | 31 | 0 | 0 | 4 | 4 | 3 | 0 | 102 | 34 | 34 | 34 | 0 | 102 | 35 | 20 | 74 | 4 | 2 | 50.00% | 10 | 4 | 60.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 60 | 33 | 68 | 26 | 52 | 26 | 56.3% | 10.8% | 89.2% | 100.0 | FUN | |
27 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 6 | 2 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 3 | 0 | 55 | 19 | 17 | 19 | 0 | 60 | 32 | 11 | 49 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 23 | 41 | 17 | 36 | 18 | 53.8% | 14.5% | 90.0% | 104.5 | FUN | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 0 | 3 | 6 | 0 | 62 | 13 | 25 | 24 | 0 | 65 | 23 | 23 | 45 | 2 | 1 | 50.00% | 9 | 3 | 66.67% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 41 | 23 | 42 | 18 | 36 | 17 | 57.1% | 14.5% | 86.2% | 100.7 | FUN | |
_Vs Division | 17 | 4 | 6 | 0 | 0 | 1 | 2 | 4 | 49 | 62 | -13 | 17 | 0.500 | 49 | 72 | 121 | 0 | 0 | 13 | 21 | 13 | 6 | 532 | 168 | 182 | 182 | 19 | 560 | 177 | 85 | 342 | 49 | 8 | 16.33% | 40 | 9 | 77.50% | 1 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 356 | 198 | 382 | 154 | 312 | 159 | 43.6% | 9.2% | 88.9% | 98.1 | FUN | |
_Vs Conference | 34 | 9 | 13 | 0 | 0 | 1 | 5 | 6 | 98 | 113 | -15 | 35 | 0.515 | 98 | 144 | 242 | 0 | 0 | 27 | 38 | 28 | 14 | 1064 | 355 | 350 | 356 | 44 | 1082 | 339 | 193 | 706 | 92 | 13 | 14.13% | 84 | 18 | 78.57% | 1 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 711 | 397 | 756 | 312 | 628 | 315 | 47.2% | 9.2% | 89.6% | 98.8 | FUN | |
_Since Last GM Reset | 57 | 18 | 23 | 0 | 1 | 2 | 6 | 7 | 179 | 189 | -10 | 59 | 0.518 | 179 | 274 | 453 | 3 | 0 | 49 | 62 | 61 | 17 | 1826 | 562 | 611 | 647 | 51 | 1816 | 595 | 342 | 1246 | 152 | 27 | 17.76% | 142 | 31 | 78.17% | 3 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 1200 | 673 | 1239 | 522 | 1047 | 524 | 49.0% | 9.8% | 89.6% | 99.4 | FUN | |
Total | 57 | 18 | 23 | 0 | 1 | 2 | 6 | 7 | 179 | 189 | -10 | 59 | 0.518 | 179 | 274 | 453 | 3 | 0 | 49 | 62 | 61 | 17 | 1826 | 562 | 611 | 647 | 51 | 1816 | 595 | 342 | 1246 | 152 | 27 | 17.76% | 142 | 31 | 78.17% | 3 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 1200 | 673 | 1239 | 522 | 1047 | 524 | 49.0% | 9.8% | 89.6% | 99.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1169 |
Neutral Zone Start | 839 |
Defensive Zone Start | 1115 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1390 |
Faceoffs Lost | 1733 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 31.9 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 146 |
---|---|
PP Goal | 27 |
PK Goal | 3 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 15 | 10 |
Lost | 9 | 14 |
Overtime Lost | 3 | 6 |
PP Attempt | 152 |
---|---|
PP Goal | 27 |
PK Attempt | 142 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 32.0 |
Shots Against | 31.9 |
Goals For | 3.1 |
Goals Against | 3.3 |
Hits | 21.9 |
Shots Blocked | 10.4 |
Pim | 6.0 |
Projected Total Cap Hit | 83,008,334$ |
Projected Cap Space | 491,666$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 54,209,536$ |
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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 29 | 10 | 8 | 11 | 0 | 39 | 11 | 7 | 33 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 19 | 11 | 24 | 8 | 16 | 8 | 50.0% | 6.9% | 92.3% | 99.2 | DULL | |
2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 1 | 0 | 61 | 15 | 21 | 24 | 3 | 64 | 20 | 10 | 38 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 24 | 45 | 18 | 36 | 17 | 44.4% | 6.6% | 89.1% | 95.6 | Unlucky | |
3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 10 | -1 | 3 | 0.500 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 91 | 29 | 27 | 35 | 2 | 103 | 36 | 14 | 64 | 10 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 58 | 31 | 71 | 29 | 54 | 27 | 47.4% | 9.9% | 90.3% | 100.2 | FUN | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 1 | 4 | 0 | 69 | 16 | 26 | 27 | 0 | 63 | 15 | 16 | 44 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 43 | 24 | 40 | 18 | 35 | 17 | 41.7% | 8.7% | 85.7% | 94.4 | Unlucky | |
5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.500 | 9 | 13 | 22 | 0 | 0 | 2 | 6 | 1 | 0 | 104 | 29 | 41 | 34 | 3 | 99 | 30 | 14 | 58 | 12 | 1 | 8.33% | 7 | 1 | 85.71% | 1 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 66 | 37 | 65 | 25 | 52 | 27 | 50.0% | 8.7% | 90.9% | 99.6 | Unlucky | |
6 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 4 | 0.667 | 6 | 6 | 12 | 0 | 0 | 1 | 4 | 0 | 2 | 83 | 27 | 29 | 25 | 6 | 81 | 32 | 29 | 60 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 63 | 34 | 64 | 27 | 57 | 28 | 35.7% | 7.2% | 88.9% | 96.1 | Unlucky | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 71 | 26 | 27 | 18 | 0 | 60 | 17 | 6 | 39 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 45 | 27 | 40 | 17 | 34 | 17 | 23.1% | 4.2% | 83.3% | 87.6 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 4 | 2 | 0 | 73 | 29 | 23 | 21 | 0 | 52 | 20 | 10 | 33 | 5 | 1 | 20.00% | 5 | 3 | 40.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 44 | 27 | 41 | 17 | 34 | 17 | 75.0% | 9.6% | 90.4% | 100.0 | FUN | |
9 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 2 | 0 | 0 | 1 | 33 | 8 | 16 | 8 | 1 | 37 | 8 | 4 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 21 | 12 | 19 | 8 | 18 | 9 | 60.0% | 9.1% | 94.6% | 103.7 | LUCKY | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 49 | 13 | 19 | 17 | 0 | 73 | 20 | 8 | 46 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 37 | 19 | 46 | 17 | 36 | 18 | 44.4% | 8.2% | 91.8% | 99.9 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 4 | 0 | 2 | 2 | 62 | 22 | 14 | 25 | 3 | 68 | 24 | 16 | 51 | 8 | 2 | 25.00% | 3 | 1 | 66.67% | 1 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 46 | 26 | 41 | 16 | 36 | 19 | 62.5% | 11.3% | 94.1% | 105.4 | LUCKY | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 2 | 2 | 5 | 0 | 59 | 19 | 14 | 26 | 0 | 55 | 18 | 6 | 42 | 12 | 2 | 16.67% | 3 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 23 | 41 | 17 | 35 | 19 | 58.3% | 15.3% | 90.9% | 106.2 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 40 | 4 | 12 | 24 | 0 | 32 | 15 | 0 | 30 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 20 | 12 | 21 | 9 | 17 | 8 | 40.0% | 5.0% | 90.6% | 95.6 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 1 | 0 | 1 | 2 | 2 | 0 | 54 | 12 | 21 | 21 | 0 | 69 | 20 | 29 | 44 | 4 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 39 | 20 | 44 | 20 | 36 | 16 | 62.5% | 9.3% | 94.2% | 103.5 | LUCKY | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 2 | 0 | 80 | 27 | 28 | 25 | 0 | 58 | 16 | 8 | 42 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 24 | 42 | 17 | 34 | 17 | 33.3% | 6.3% | 86.2% | 92.5 | Unlucky | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 4 | 1.000 | 12 | 18 | 30 | 0 | 0 | 2 | 6 | 4 | 0 | 71 | 22 | 33 | 16 | 0 | 50 | 14 | 7 | 46 | 8 | 2 | 25.00% | 1 | 0 | 100.00% | 1 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 24 | 38 | 19 | 38 | 19 | 76.9% | 16.9% | 94.0% | 110.9 | LUCKY | |
17 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 7 | 13 | 0 | 0 | 3 | 2 | 0 | 2 | 80 | 20 | 36 | 23 | 12 | 57 | 7 | 14 | 47 | 1 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 44 | 25 | 43 | 20 | 41 | 19 | 50.0% | 7.5% | 89.5% | 97.0 | Unlucky | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 12 | 19 | 2 | 0 | 2 | 1 | 4 | 0 | 68 | 24 | 16 | 28 | 0 | 70 | 24 | 4 | 46 | 5 | 3 | 60.00% | 2 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 24 | 41 | 16 | 35 | 18 | 26.7% | 10.3% | 84.3% | 94.6 | FUN | |
19 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 8 | -1 | 4 | 0.667 | 7 | 10 | 17 | 0 | 0 | 2 | 3 | 2 | 2 | 97 | 32 | 24 | 41 | 6 | 96 | 32 | 24 | 47 | 7 | 1 | 14.29% | 12 | 2 | 83.33% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 65 | 37 | 69 | 28 | 54 | 27 | 50.0% | 7.2% | 91.7% | 98.9 | DULL | |
20 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 10 | 19 | 0 | 0 | 2 | 2 | 3 | 3 | 52 | 13 | 18 | 21 | 5 | 63 | 21 | 4 | 41 | 6 | 3 | 50.00% | 2 | 1 | 50.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 38 | 19 | 47 | 20 | 43 | 21 | 50.0% | 17.3% | 88.9% | 106.2 | FUN | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 2 | 2 | 0 | 64 | 21 | 20 | 23 | 0 | 80 | 20 | 8 | 46 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 41 | 24 | 42 | 18 | 35 | 17 | 50.0% | 7.8% | 91.3% | 99.1 | DULL | |
22 | 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 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 19 | 10 | 21 | 9 | 19 | 8 | 100.0% | 10.3% | 94.1% | 104.5 | LUCKY | |
23 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 3 | 0 | 1 | 4 | 53 | 32 | 11 | 10 | 5 | 55 | 18 | 20 | 39 | 3 | 1 | 33.33% | 10 | 3 | 70.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 39 | 21 | 43 | 19 | 41 | 18 | 57.1% | 9.4% | 89.1% | 98.5 | FUN | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 0.500 | 10 | 17 | 27 | 0 | 0 | 3 | 4 | 3 | 0 | 78 | 19 | 28 | 31 | 0 | 64 | 35 | 13 | 55 | 8 | 3 | 37.50% | 4 | 2 | 50.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 23 | 40 | 17 | 36 | 18 | 53.8% | 12.8% | 87.5% | 100.3 | FUN | |
25 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 11 | -5 | 1 | 0.250 | 6 | 9 | 15 | 0 | 0 | 1 | 2 | 3 | 1 | 57 | 21 | 19 | 17 | 5 | 67 | 22 | 9 | 37 | 8 | 1 | 12.50% | 2 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 24 | 44 | 18 | 37 | 20 | 31.3% | 10.5% | 83.6% | 94.1 | FUN | |
26 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 11 | 0 | 3 | 0.500 | 11 | 20 | 31 | 0 | 0 | 4 | 4 | 3 | 0 | 102 | 34 | 34 | 34 | 0 | 102 | 35 | 20 | 74 | 4 | 2 | 50.00% | 10 | 4 | 60.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 60 | 33 | 68 | 26 | 52 | 26 | 56.3% | 10.8% | 89.2% | 100.0 | FUN | |
27 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 6 | 2 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 3 | 0 | 55 | 19 | 17 | 19 | 0 | 60 | 32 | 11 | 49 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 42 | 23 | 41 | 17 | 36 | 18 | 53.8% | 14.5% | 90.0% | 104.5 | FUN | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 0 | 3 | 6 | 0 | 62 | 13 | 25 | 24 | 0 | 65 | 23 | 23 | 45 | 2 | 1 | 50.00% | 9 | 3 | 66.67% | 0 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 41 | 23 | 42 | 18 | 36 | 17 | 57.1% | 14.5% | 86.2% | 100.7 | FUN | |
_Vs Division | 17 | 4 | 6 | 0 | 0 | 1 | 2 | 4 | 49 | 62 | -13 | 17 | 0.500 | 49 | 72 | 121 | 0 | 0 | 13 | 21 | 13 | 6 | 532 | 168 | 182 | 182 | 19 | 560 | 177 | 85 | 342 | 49 | 8 | 16.33% | 40 | 9 | 77.50% | 1 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 356 | 198 | 382 | 154 | 312 | 159 | 43.6% | 9.2% | 88.9% | 98.1 | FUN | |
_Vs Conference | 34 | 9 | 13 | 0 | 0 | 1 | 5 | 6 | 98 | 113 | -15 | 35 | 0.515 | 98 | 144 | 242 | 0 | 0 | 27 | 38 | 28 | 14 | 1064 | 355 | 350 | 356 | 44 | 1082 | 339 | 193 | 706 | 92 | 13 | 14.13% | 84 | 18 | 78.57% | 1 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 711 | 397 | 756 | 312 | 628 | 315 | 47.2% | 9.2% | 89.6% | 98.8 | FUN | |
_Since Last GM Reset | 57 | 18 | 23 | 0 | 1 | 2 | 6 | 7 | 179 | 189 | -10 | 59 | 0.518 | 179 | 274 | 453 | 3 | 0 | 49 | 62 | 61 | 17 | 1826 | 562 | 611 | 647 | 51 | 1816 | 595 | 342 | 1246 | 152 | 27 | 17.76% | 142 | 31 | 78.17% | 3 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 1200 | 673 | 1239 | 522 | 1047 | 524 | 49.0% | 9.8% | 89.6% | 99.4 | FUN | |
Total | 57 | 18 | 23 | 0 | 1 | 2 | 6 | 7 | 179 | 189 | -10 | 59 | 0.518 | 179 | 274 | 453 | 3 | 0 | 49 | 62 | 61 | 17 | 1826 | 562 | 611 | 647 | 51 | 1816 | 595 | 342 | 1246 | 152 | 27 | 17.76% | 142 | 31 | 78.17% | 3 | 525 | 1169 | 44.91% | 489 | 1115 | 43.86% | 376 | 839 | 44.82% | 1200 | 673 | 1239 | 522 | 1047 | 524 | 49.0% | 9.8% | 89.6% | 99.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1169 |
Neutral Zone Start | 839 |
Defensive Zone Start | 1115 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1390 |
Faceoffs Lost | 1733 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 31.9 | 30.68 |
Overtime | 32.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 146 |
---|---|
PP Goal | 27 |
PK Goal | 3 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 15 | 10 |
Lost | 9 | 14 |
Overtime Lost | 3 | 6 |
PP Attempt | 152 |
---|---|
PP Goal | 27 |
PK Attempt | 142 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 32.0 |
Shots Against | 31.9 |
Goals For | 3.1 |
Goals Against | 3.3 |
Hits | 21.9 |
Shots Blocked | 10.4 |
Pim | 6.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-10-06 | @ | Rangers1,Penguins2 | RECAP | ||
2024-10-07 | @ | Penguins2,Red Wings7 | RECAP | ||
2024-10-09 | @ | Penguins3,Maple Leafs4 | RECAP | ||
2024-10-11 | @ | Penguins3,Canadiens4 (SO) | RECAP | ||
2024-10-13 | @ | Sabres4,Penguins5 (SO) | RECAP | ||
2024-10-15 | @ | Hurricanes6,Penguins5 (OT) | RECAP | ||
2024-10-17 | @ | Penguins2,Jets3 | RECAP | ||
2024-10-19 | @ | Penguins1,Flames2 (OT) | RECAP | ||
2024-10-22 | @ | Penguins4,Oilers2 | RECAP | ||
2024-10-23 | @ | Penguins3,Canucks2 (SO) | RECAP | ||
2024-10-26 | @ | Wild2,Penguins3 | RECAP | ||
2024-10-28 | @ | Ducks4,Penguins3 (SO) | RECAP | ||
2024-10-30 | @ | Canadiens2,Penguins5 | RECAP | ||
2024-11-02 | @ | Penguins3,Islanders1 | RECAP | ||
2024-11-04 | @ | Penguins4,Hurricanes2 | RECAP | ||
2024-11-05 | @ | Penguins1,Capitals4 | RECAP | ||
2024-11-08 | @ | Stars3,Penguins2 | RECAP | ||
2024-11-10 | @ | Red Wings1,Penguins2 | RECAP | ||
2024-11-12 | @ | Penguins5,Blue Jackets4 (SO) | RECAP | ||
2024-11-13 | @ | Sharks4,Penguins2 | RECAP | ||
2024-11-16 | @ | Lightning1,Penguins4 | RECAP | ||
2024-11-19 | @ | Jets5,Penguins3 | RECAP | ||
2024-11-20 | @ | Utah Hockey Club2,Penguins3 | RECAP | ||
2024-11-24 | @ | Canucks2,Penguins4 | RECAP | ||
2024-11-26 | @ | Penguins2,Bruins3 | RECAP | ||
2024-11-27 | @ | Flames4,Penguins7 | RECAP | ||
2024-11-30 | @ | Panthers3,Penguins4 | RECAP | ||
2024-12-03 | @ | Penguins3,Rangers4 (SO) | RECAP | ||
2024-12-04 | @ | Maple Leafs1,Penguins6 | RECAP | ||
2024-12-07 | @ | Avalanche2,Penguins3 (OT) | RECAP | ||
2024-12-09 | @ | Penguins1,Canadiens4 | RECAP | ||
2024-12-11 | @ | Penguins4,Senators3 (SO) | RECAP | ||
2024-12-14 | @ | Kings4,Penguins2 | RECAP | ||
2024-12-16 | @ | Penguins4,Predators1 | RECAP | ||
2024-12-18 | @ | Penguins1,Devils5 | RECAP | ||
2024-12-20 | @ | Flyers4,Penguins1 | RECAP | ||
2024-12-25 | @ | Penguins5,Islanders6 (SO) | RECAP | ||
2024-12-26 | @ | Islanders2,Penguins1 | RECAP | ||
2024-12-28 | @ | Penguins2,Red Wings1 (SO) | RECAP | ||
2024-12-31 | @ | Penguins1,Panthers4 | RECAP | ||
2025-01-02 | @ | Penguins2,Hurricanes3 | RECAP | ||
2025-01-04 | @ | Blue Jackets3,Penguins4 (SO) | RECAP | ||
2025-01-06 | @ | Oilers1,Penguins8 | RECAP | ||
2025-01-08 | @ | Senators3,Penguins1 | RECAP | ||
2025-01-09 | @ | Lightning4,Penguins3 | RECAP | ||
2025-01-11 | @ | Kraken3,Penguins5 | RECAP | ||
2025-01-14 | @ | Penguins1,Sabres2 (SO) | RECAP | ||
2025-01-15 | @ | Penguins3,Capitals2 | RECAP | ||
2025-01-17 | @ | Penguins8,Kings4 | RECAP | ||
2025-01-20 | @ | Penguins1,Ducks3 | RECAP | ||
2025-01-22 | @ | Penguins4,Kraken6 | RECAP | ||
2025-01-24 | @ | Penguins5,Sharks7 | RECAP | ||
2025-01-26 | @ | Penguins3,Utah Hockey Club7 | RECAP | ||
2025-01-29 | @ | Predators3,Penguins1 | RECAP | ||
2025-02-01 | @ | Devils6,Penguins5 (SO) | RECAP | ||
2025-02-04 | @ | Penguins2,Rangers3 (SO) | RECAP | ||
2025-02-05 | @ | Penguins2,Flyers6 | RECAP | ||
2025-02-19 | @ | ||||
2025-02-20 | @ | ||||
2025-02-22 | @ | ||||
2025-02-24 | @ | ||||
2025-02-26 | @ | ||||
2025-02-27 | @ | ||||
2025-03-01 | @ | ||||
2025-03-04 | @ | ||||
2025-03-06 | @ | ||||
2025-03-08 | @ | ||||
2025-03-10 | @ | ||||
2025-03-12 | @ | ||||
2025-03-15 | @ | ||||
2025-03-18 | @ | ||||
2025-03-20 | @ | ||||
2025-03-22 | @ | ||||
2025-03-24 | @ | ||||
2025-03-27 | @ | ||||
2025-03-31 | @ | ||||
2025-04-02 | @ | ||||
2025-04-03 | @ | ||||
2025-04-05 | @ | ||||
2025-04-08 | @ | ||||
2025-04-10 | @ | ||||
2025-04-14 | @ |
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 - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 153264 | 127547 | 51615 | 100923 | 25341 |
Attendance PCT | 94.61% | 94.48% | 95.58% | 93.45% | 93.86% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 16989 - 94.38% | 611,566$ | 16,512,280$ | 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 |
---|---|---|---|
54,209,536$ | 83,008,334$ | 54,209,536$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
8,561,923$ | 68 | 423,512$ | 28,798,816$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
29,391,876$ | 83,008,334$ | -566,275,911$ | -587,105,864$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 | |||||
AJ Spellacy | 2024 | 84 | |||
Aaron Pionk | 2023 | 158 | |||
Aidan Mcdonough | 2019 | 192 | |||
Albin Sundsvik | 2020 | 160 | |||
Alex Cech | 2024 | 168 | |||
Alexander Gordin | 2020 | 170 | |||
Andre Lee | 2019 | 171 | |||
Bear Hughes | 2020 | 149 | |||
Benjamin Roger | 2021 | 58 | |||
Brad Gardiner | 2023 | 98 | |||
Brandon Coe | 2020 | 111 | |||
Brandon Lisowsky | 2022 | 220 | |||
Bryce Montgomery | 2021 | 175 | |||
Cameron Whitehead | 2022 | 129 | |||
Chris Romaine | 2022 | 188 | |||
Cole Reinhardt | 2020 | 183 | |||
David Gucciardi | 2022 | 211 | |||
Ethan Haider | 2019 | 94 | |||
Ethan Hay | 2023 | 214 | |||
Filip Eriksson | 2023 | 162 | |||
Finn Harding | 2024 | 223 | |||
Garlin Bjorklund | 2020 | 180 | |||
Greg Meireles | 2019 | 156 | |||
Jack Berglund | 2024 | 68 | |||
Jack Harvey | 2023 | 190 | |||
Jacob Fowler | 2023 | 32 | |||
Jakov Novak | 2018 | 191 | |||
Jakub Demek | 2021 | 133 | |||
Jakub Stancl | 2023 | 118 | |||
Jayson Shaugabay | 2023 | 126 | |||
Jeremy Hanzel | 2023 | 194 | |||
Jesse Nurmi | 2023 | 121 | |||
Joshua Bloom | 2021 | 101 | |||
Kristian Kostadinski | 2023 | 222 | |||
Layton Ahac | 2019 | 87 | |||
Luca Munzenberger | 2021 | 99 | |||
Mathias Laferriere | 2018 | 160 | |||
Matthew Andonovski | 2023 | 150 | |||
Matthew Morden | 2022 | 124 | |||
Max Plante | 2024 | 63 | |||
Michael Krutil | 2020 | 118 | |||
Miroslav Holinka | 2024 | 165 | |||
Nicholas Moldenhauer | 2022 | 113 | |||
Oliver Bonk | 2023 | 23 | |||
Ollie Josephson | 2024 | 120 | |||
Oskar Magnusson | 2020 | 211 | |||
Owen Beck | 2022 | 37 | |||
Parker Alcos | 2024 | 198 | |||
Quinn Finley | 2022 | 92 | |||
Sacha Boisvert | 2024 | 17 | |||
Stevie Leskovar | 2024 | 191 | |||
Trevor Connelly | 2024 | 13 | |||
Ty Mueller | 2023 | 120 | |||
Zachary Schultz | 2023 | 182 |
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