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Full Scoreboard » |
Pittsburgh Penguins 37-27-5, 79pts · 5th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 90 | C/LW/RW | 100.00 | 75 | 39 | 89 | 66 | 78 | 82 | 90 | 65 | 76 | 64 | 63 | 68 | 66 | 65 | 69 | 76 | 75 | 0 | 25 | 2,275,000$/2yrs | |||
![]() | 13 | C/LW/RW | 100.00 | 76 | 41 | 88 | 69 | 86 | 84 | 85 | 68 | 75 | 70 | 64 | 62 | 69 | 63 | 65 | 49 | 75 | 0 | 24 | 775,000$/1yrs | |||
![]() | 76 | LW/RW | 100.00 | 85 | 70 | 74 | 66 | 82 | 80 | 88 | 63 | 54 | 65 | 60 | 83 | 58 | 69 | 72 | 36 | 75 | 0 | 29 | 1,000,000$/2yrs | |||
![]() | 71 | C | 100.00 | 63 | 36 | 72 | 76 | 82 | 89 | 90 | 80 | 79 | 83 | 77 | 67 | 81 | 90 | 82 | 38 | 75 | 0 | 38 | 7,777,000$/1yrs | |||
![]() | 22 | LW/RW | 100.00 | 67 | 38 | 93 | 74 | 76 | 84 | 79 | 73 | 56 | 74 | 71 | 65 | 75 | 63 | 65 | 86 | 75 | 0 | 23 | 863,333$/1yrs | |||
![]() | 36 | LW/RW | 100.00 | 63 | 33 | 88 | 78 | 65 | 90 | 88 | 82 | 57 | 85 | 71 | 64 | 75 | 85 | 79 | 20 | 75 | 0 | 37 | 4,125,000$/2yrs | |||
![]() | 27 | LW/RW | 100.00 | 76 | 63 | 77 | 71 | 89 | 87 | 90 | 73 | 59 | 70 | 75 | 66 | 72 | 82 | 92 | 26 | 75 | 0 | 34 | 7,000,000$/2yrs | |||
![]() | 17 | C | 100.00 | 80 | 77 | 79 | 68 | 91 | 86 | 90 | 67 | 80 | 72 | 65 | 89 | 63 | 79 | 88 | 52 | 75 | 0 | 31 | 3,250,000$/2yrs | |||
![]() | 16 | C/RW | 100.00 | 71 | 39 | 92 | 76 | 80 | 90 | 89 | 75 | 86 | 79 | 72 | 89 | 77 | 80 | 73 | 70 | 75 | 0 | 30 | 7,750,000$/7yrs | |||
![]() | 10 | LW | 100.00 | 59 | 34 | 89 | 86 | 69 | 92 | 90 | 88 | 54 | 90 | 85 | 66 | 87 | 80 | 78 | 26 | 75 | 0 | 33 | 11,642,857$/2yrs | |||
![]() | 18 | LW/RW | 100.00 | 70 | 39 | 83 | 81 | 79 | 90 | 89 | 77 | 59 | 78 | 90 | 67 | 76 | 77 | 79 | 36 | 75 | 0 | 32 | 5,250,000$/2yrs | |||
![]() | 11 | C/LW/RW | 100.00 | 62 | 34 | 95 | 69 | 71 | 86 | 88 | 68 | 79 | 67 | 66 | 84 | 77 | 73 | 75 | 34 | 75 | 0 | 31 | 2,300,000$/1yrs | |||
![]() | 6 | D | 100.00 | 74 | 85 | 78 | 64 | 99 | 90 | 89 | 63 | 30 | 72 | 62 | 95 | 51 | 77 | 73 | 52 | 75 | 0 | 32 | 5,300,000$/2yrs | |||
![]() | 75 | D | 100.00 | 83 | 68 | 72 | 66 | 71 | 88 | 89 | 63 | 30 | 73 | 60 | 80 | 52 | 71 | 70 | 47 | 75 | 0 | 29 | 3,500,000$/2yrs | |||
![]() | 55 | D | 100.00 | 72 | 38 | 81 | 67 | 73 | 90 | 86 | 63 | 30 | 74 | 55 | 89 | 49 | 68 | 67 | 69 | 75 | 0 | 27 | 4,500,000$/1yrs | |||
![]() | 7 | D | 100.00 | 93 | 75 | 63 | 64 | 76 | 89 | 86 | 61 | 30 | 73 | 60 | 88 | 50 | 81 | 74 | 35 | 75 | 0 | 34 | 4,000,000$/2yrs | |||
![]() | 77 | D | 100.00 | 70 | 40 | 75 | 76 | 99 | 95 | 89 | 78 | 30 | 88 | 71 | 83 | 58 | 87 | 76 | 48 | 75 | 0 | 34 | 9,000,000$/1yrs | |||
![]() | 58 | D | 100.00 | 67 | 43 | 86 | 72 | 71 | 86 | 65 | 69 | 30 | 70 | 65 | 67 | 55 | 68 | 67 | 57 | 75 | 0 | 27 | 1,150,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 52 | D | 100.00 | 82 | 47 | 67 | 65 | 94 | 83 | 74 | 62 | 30 | 67 | 59 | 70 | 52 | 66 | 68 | 80 | 75 | 0 | 26 | ||||
![]() | 42 | D | 100.00 | 74 | 39 | 92 | 67 | 88 | 89 | 73 | 66 | 30 | 68 | 64 | 63 | 52 | 67 | 69 | 37 | 75 | 0 | 27 | 1,250,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 73 | 49 | 82 | 71 | 81 | 88 | 85 | 70 | 53 | 74 | 68 | 75 | 65 | 75 | 74 | 49 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 32 | 100.00 | 90 | 83 | 77 | 80 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 93 | 92 | 47 | 75 | 0 | 39 | 1,275,000$/1yrs |
![]() | 35 | 100.00 | 93 | 86 | 82 | 87 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 71 | 77 | 70 | 75 | 0 | 28 | 2,300,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 92 | 85 | 80 | 84 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 82 | 85 | 59 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 87 | 88 | 90 | 85 | 88 | 82 | 58 | USA | 59 | 3 | 4,900,000$ |
General Manager | Laurent Amyot |
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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 | Artemi Panarin | 10 | LW | 69 | 39 | 54 | 93 | 23 | 6 | 0 | 33 | 257 | 87 | 185 | 15.18% | 4 | 17.80 | 13 | 17 | 30 | 247 | 0 | 0 | 0 | 20 | 5 | 1 | 34.56% | 136 | 0 | 0 | 0 | 3 | 1.51 | 0 | 0 | ||
2 | Zach Hyman | 18 | LW/RW | 69 | 32 | 45 | 77 | 23 | 42 | 0 | 91 | 225 | 63 | 163 | 14.22% | 9 | 17.66 | 9 | 18 | 27 | 252 | 0 | 0 | 0 | 8 | 7 | 0 | 40.00% | 105 | 0 | 0 | 0 | 1 | 1.26 | 0 | 0 | ||
3 | Elias Lindholm | 16 | C/RW | 68 | 26 | 45 | 71 | 19 | 36 | 0 | 90 | 206 | 56 | 169 | 12.62% | 26 | 20.05 | 6 | 11 | 17 | 226 | 0 | 0 | 0 | 211 | 7 | 1 | 53.54% | 1976 | 0 | 0 | 0 | 0 | 1.04 | 0 | 0 | ||
4 | Evgeni Malkin | 71 | C | 70 | 20 | 40 | 60 | 13 | 32 | 0 | 107 | 192 | 59 | 158 | 10.42% | 12 | 19.41 | 8 | 11 | 19 | 235 | 1 | 0 | 1 | 119 | 6 | 0 | 49.83% | 1772 | 0 | 0 | 0 | 0 | 0.88 | 3 | 4 | ||
5 | Victor Hedman | 77 | D | 69 | 8 | 52 | 60 | -6 | 52 | 0 | 91 | 113 | 59 | 105 | 7.08% | 73 | 20.42 | 6 | 23 | 29 | 251 | 0 | 1 | 1 | 46 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
6 | Jamie Oleksiak | 6 | D | 68 | 14 | 31 | 45 | 10 | 35 | 5 | 58 | 128 | 35 | 76 | 10.94% | 95 | 23.55 | 6 | 7 | 13 | 213 | 0 | 1 | 1 | 212 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
7 | Mats Zuccarello | 36 | LW/RW | 69 | 16 | 22 | 38 | -4 | 26 | 0 | 70 | 154 | 57 | 157 | 10.39% | 4 | 16.42 | 2 | 8 | 10 | 233 | 0 | 0 | 0 | 0 | 4 | 0 | 32.00% | 75 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
8 | Connor Clifton | 75 | D | 69 | 3 | 30 | 33 | 3 | 64 | 0 | 132 | 70 | 20 | 51 | 4.29% | 88 | 18.61 | 1 | 4 | 5 | 104 | 0 | 0 | 0 | 204 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
9 | Jack Quinn | 22 | LW/RW | 69 | 15 | 15 | 30 | 2 | 8 | 0 | 38 | 112 | 38 | 78 | 13.39% | 3 | 14.14 | 2 | 2 | 4 | 73 | 0 | 0 | 0 | 46 | 0 | 1 | 37.04% | 135 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
10 | Frederick Gaudreau | 11 | C/LW/RW | 69 | 13 | 13 | 26 | -1 | 14 | 0 | 32 | 119 | 28 | 82 | 10.92% | 18 | 15.27 | 1 | 1 | 2 | 19 | 0 | 0 | 0 | 181 | 1 | 0 | 51.14% | 1097 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
11 | Ryan Lindgren | 55 | D | 65 | 3 | 19 | 22 | 4 | 34 | 0 | 104 | 49 | 10 | 26 | 6.12% | 101 | 19.35 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 188 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
12 | Anders Lee | 27 | LW/RW | 69 | 6 | 15 | 21 | 7 | 50 | 0 | 130 | 142 | 33 | 105 | 4.23% | 6 | 14.01 | 1 | 1 | 2 | 85 | 0 | 0 | 0 | 4 | 0 | 0 | 47.06% | 102 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
13 | Radko Gudas | 7 | D | 69 | 4 | 16 | 20 | 18 | 122 | 0 | 206 | 54 | 28 | 30 | 7.41% | 100 | 18.77 | 0 | 0 | 0 | 35 | 0 | 0 | 0 | 191 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
14 | Oliver Kylington | 58 | D | 67 | 6 | 11 | 17 | 4 | 22 | 0 | 24 | 43 | 22 | 36 | 13.95% | 62 | 18.09 | 3 | 5 | 8 | 219 | 0 | 0 | 0 | 88 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
15 | Cole Smith | 76 | LW/RW | 69 | 3 | 10 | 13 | -1 | 48 | 0 | 82 | 68 | 21 | 63 | 4.41% | 7 | 10.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 230 | 1 | 0 | 35.00% | 80 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
16 | Adam Lowry | 17 | C | 69 | 3 | 10 | 13 | -26 | 54 | 0 | 119 | 133 | 43 | 94 | 2.26% | 33 | 14.15 | 0 | 0 | 0 | 13 | 1 | 0 | 1 | 289 | 0 | 0 | 50.95% | 1576 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
17 | Joe Veleno | 90 | C/LW/RW | 69 | 6 | 2 | 8 | -3 | 4 | 0 | 22 | 32 | 12 | 27 | 18.75% | 10 | 9.92 | 0 | 0 | 0 | 3 | 1 | 0 | 1 | 173 | 0 | 1 | 49.35% | 612 | 0 | 0 | 1 | 0 | 0.23 | 0 | 0 | ||
18 | Juuso Parssinen | 13 | C/LW/RW | 50 | 3 | 3 | 6 | -2 | 10 | 0 | 19 | 35 | 10 | 30 | 8.57% | 1 | 7.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 40.00% | 65 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
19 | Daniil Miromanov | 42 | D | 11 | 0 | 1 | 1 | 4 | 4 | 0 | 2 | 3 | 0 | 2 | 0.00% | 7 | 9.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
Team Total or Average | 1227 | 220 | 434 | 654 | 87 | 663 | 5 | 1450 | 2135 | 681 | 1637 | 10.30% | 659 | 16.46 | 58 | 108 | 166 | 2224 | 3 | 2 | 5 | 2221 | 36 | 5 | 50.08% | 7731 | 0 | 0 | 1 | 4 | 0.65 | 3 | 4 |
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 | Ilya Samsonov | Penguins | 52 | 28 | 17 | 3 | 0.906 | 2.95 | 2906 | 2 | 3 | 143 | 1515 | 0 | 2 | 1 | 0.000 | 0 | 51 | 18 | 3 | 6 | 2 |
2 | Jonathan Quick | Penguins | 24 | 9 | 10 | 2 | 0.897 | 3.25 | 1239 | 2 | 2 | 67 | 652 | 0 | 2 | 1 | 0.000 | 0 | 18 | 51 | 1 | 1 | 1 |
Team Total or Average | 76 | 37 | 27 | 5 | 0.903 | 3.04 | 4145 | 4 | 5 | 210 | 2167 | 0 | 4 | 2 | 0.000 | 0 | 69 | 69 | 4 | 7 | 3 |
Projected Total Cap Hit | 86,986,260$ |
Projected Cap Space | 1,013,740$ |
Retains And Buyout Cap Hit | 1,454,696$ |
Salary Cap To Date | 71,797,758$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry | C | 31 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Anders Lee ![]() | LW/RW | 34 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Artemi Panarin ![]() | LW | 33 | 11,642,857$ | 11,642,857$ | 11,642,857$ | UFA | |||||
Cal Foote | D | 26 | 0$ | RFA | |||||||
Cole Smith | LW/RW | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Connor Clifton | D/G | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | ||||||
Daniil Miromanov | D | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Elias Lindholm ![]() | C/RW | 30 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA |
Evgeni Malkin ![]() | C | 38 | 7,777,000$ | 7,777,000$ | UFA | ||||||
Frederick Gaudreau ![]() | C/LW/RW | 31 | 2,300,000$ | 2,300,000$ | |||||||
Ilya Samsonov | D/G | 28 | 2,300,000$ | 2,300,000$ | UFA | ||||||
Jack Quinn ![]() | LW/RW | 23 | 863,333$ | 863,333$ | |||||||
Jamie Oleksiak ![]() | D/G | 32 | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | |||||
Joe Veleno | C/LW/RW/G | 25 | 2,275,000$ | 2,275,000$ | 2,275,000$ | RFA | |||||
Jonathan Quick ![]() | C/LW/G | 39 | 1,275,000$ | 1,275,000$ | |||||||
Juuso Parssinen | C/LW/RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Mats Zuccarello ![]() | LW/RW | 37 | 4,125,000$ | 4,125,000$ | 4,125,000$ | UFA | |||||
Oliver Kylington | D | 27 | 1,150,000$ | 1,150,000$ | RFA | ||||||
Radko Gudas ![]() | D | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Ryan Lindgren | D | 27 | 4,500,000$ | 4,500,000$ | RFA | ||||||
Victor Hedman ![]() | D | 34 | 9,000,000$ | 7,875,000$ | UFA | ||||||
Zach Hyman ![]() | LW/RW | 32 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 15 | 24 | 0 | 1 | 5 | 2 | 2 | 0 | 58 | 18 | 17 | 23 | 0 | 47 | 17 | 10 | 52 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 47 | 32 | 46 | 15 | 25 | 12 | 80.0% | 15.5% | 95.7% | 111.3 | LUCKY | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 4 | 0 | 2 | 0 | 64 | 32 | 10 | 22 | 0 | 87 | 23 | 28 | 42 | 6 | 1 | 16.67% | 11 | 1 | 90.91% | 1 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 42 | 27 | 51 | 15 | 26 | 12 | 38.5% | 9.4% | 89.7% | 99.0 | FUN | |
3 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 81 | 23 | 25 | 33 | 0 | 93 | 22 | 28 | 56 | 10 | 2 | 20.00% | 13 | 5 | 61.54% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 74 | 51 | 68 | 20 | 36 | 18 | 33.3% | 6.2% | 88.2% | 94.3 | Unlucky | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 47 | 13 | 17 | 17 | 0 | 76 | 25 | 14 | 41 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 43 | 27 | 50 | 14 | 25 | 12 | 40.0% | 10.6% | 92.1% | 102.7 | LUCKY | |
5 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 9 | 4 | 4 | 0.500 | 13 | 23 | 36 | 0 | 1 | 7 | 4 | 2 | 0 | 114 | 50 | 34 | 30 | 0 | 140 | 39 | 36 | 92 | 10 | 4 | 40.00% | 17 | 3 | 82.35% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 93 | 64 | 96 | 28 | 50 | 24 | 60.0% | 11.4% | 93.6% | 105.0 | LUCKY | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 2 | 3 | 2 | 0 | 64 | 24 | 21 | 19 | 0 | 50 | 13 | 16 | 29 | 12 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 49 | 35 | 46 | 15 | 23 | 12 | 100.0% | 10.9% | 98.0% | 108.9 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 36 | 9 | 13 | 14 | 0 | 27 | 11 | 6 | 20 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 25 | 17 | 22 | 8 | 12 | 6 | 100.0% | 11.1% | 96.3% | 107.4 | LUCKY | |
8 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 17 | 26 | 0 | 1 | 2 | 4 | 3 | 0 | 71 | 28 | 21 | 22 | 0 | 90 | 22 | 18 | 57 | 10 | 2 | 20.00% | 9 | 2 | 77.78% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 71 | 49 | 70 | 22 | 38 | 19 | 50.0% | 12.7% | 90.0% | 102.7 | FUN | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 3 | 4 | 1 | 0 | 53 | 19 | 16 | 18 | 0 | 59 | 16 | 14 | 42 | 4 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 47 | 31 | 46 | 13 | 26 | 13 | 61.5% | 15.1% | 86.4% | 101.5 | FUN | |
10 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0.500 | 10 | 17 | 27 | 0 | 0 | 5 | 1 | 3 | 1 | 59 | 14 | 21 | 23 | 1 | 71 | 22 | 14 | 41 | 6 | 2 | 33.33% | 6 | 0 | 100.00% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 47 | 33 | 48 | 13 | 26 | 12 | 44.4% | 16.9% | 85.9% | 102.9 | FUN | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 1 | 0 | 24 | 11 | 5 | 8 | 0 | 22 | 6 | 10 | 15 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 24 | 16 | 21 | 8 | 13 | 6 | 75.0% | 12.5% | 95.5% | 108.0 | LUCKY | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 56 | 27 | 13 | 16 | 0 | 51 | 19 | 20 | 38 | 8 | 2 | 25.00% | 9 | 4 | 55.56% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 49 | 34 | 44 | 13 | 25 | 13 | 40.0% | 7.1% | 86.3% | 93.4 | Unlucky | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 4 | 2 | 0 | 74 | 23 | 28 | 23 | 0 | 60 | 17 | 14 | 42 | 11 | 4 | 36.36% | 6 | 1 | 83.33% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 46 | 32 | 49 | 15 | 23 | 11 | 57.1% | 10.8% | 93.3% | 104.1 | LUCKY | |
14 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 15 | 23 | 0 | 0 | 4 | 3 | 1 | 0 | 116 | 40 | 37 | 39 | 0 | 75 | 32 | 18 | 72 | 13 | 2 | 15.38% | 8 | 1 | 87.50% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 76 | 54 | 64 | 21 | 38 | 20 | 37.5% | 6.9% | 85.3% | 92.2 | Unlucky | |
15 | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 13 | 14 | -1 | 4 | 0.667 | 13 | 24 | 37 | 0 | 0 | 7 | 3 | 3 | 0 | 99 | 33 | 24 | 41 | 1 | 99 | 30 | 34 | 56 | 12 | 4 | 33.33% | 14 | 2 | 85.71% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 71 | 48 | 71 | 20 | 39 | 19 | 42.9% | 13.1% | 85.9% | 99.0 | FUN | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 3 | 4 | 1 | 0 | 57 | 23 | 20 | 14 | 0 | 86 | 27 | 16 | 36 | 11 | 2 | 18.18% | 8 | 2 | 75.00% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 44 | 30 | 51 | 14 | 24 | 13 | 60.0% | 14.0% | 93.0% | 107.1 | LUCKY | |
17 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 15 | -2 | 2 | 0.333 | 13 | 22 | 35 | 0 | 0 | 4 | 5 | 4 | 0 | 111 | 40 | 31 | 40 | 0 | 102 | 21 | 41 | 42 | 19 | 4 | 21.05% | 15 | 2 | 86.67% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 72 | 50 | 70 | 23 | 36 | 18 | 40.9% | 11.7% | 85.3% | 97.0 | FUN | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 47 | 22 | 13 | 12 | 0 | 68 | 17 | 16 | 34 | 6 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 43 | 29 | 50 | 14 | 25 | 12 | 44.4% | 8.5% | 88.2% | 96.7 | Unlucky | |
19 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 9 | 0 | 3 | 0.500 | 9 | 17 | 26 | 0 | 0 | 4 | 2 | 3 | 0 | 97 | 24 | 38 | 35 | 0 | 92 | 22 | 20 | 61 | 13 | 4 | 30.77% | 8 | 4 | 50.00% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 74 | 53 | 67 | 21 | 39 | 20 | 50.0% | 9.3% | 90.2% | 99.5 | FUN | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 1 | 0 | 4 | 1 | 1 | 0 | 53 | 26 | 11 | 16 | 0 | 56 | 12 | 18 | 49 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 45 | 31 | 47 | 15 | 26 | 13 | 50.0% | 11.3% | 89.3% | 100.6 | FUN | |
21 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 5 | 3 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 5 | 2 | 1 | 0 | 61 | 23 | 19 | 19 | 0 | 46 | 20 | 14 | 36 | 9 | 3 | 33.33% | 6 | 2 | 66.67% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 53 | 37 | 42 | 14 | 24 | 13 | 62.5% | 13.1% | 89.1% | 102.2 | FUN | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 45 | 22 | 13 | 10 | 0 | 74 | 11 | 30 | 35 | 11 | 2 | 18.18% | 14 | 2 | 85.71% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 44 | 29 | 49 | 17 | 26 | 12 | 40.0% | 8.9% | 93.2% | 102.1 | Unlucky | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 3 | 2 | 0 | 60 | 18 | 17 | 25 | 0 | 72 | 20 | 18 | 37 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 40 | 26 | 53 | 16 | 25 | 12 | 58.3% | 13.3% | 90.3% | 103.6 | FUN | |
24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 1 | 1 | 2 | 0 | 44 | 13 | 17 | 14 | 0 | 61 | 13 | 18 | 33 | 8 | 2 | 25.00% | 9 | 3 | 66.67% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 46 | 31 | 47 | 14 | 25 | 12 | 25.0% | 9.1% | 85.2% | 94.3 | FUN | |
25 | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 8 | 6 | 8 | 1.000 | 14 | 25 | 39 | 0 | 1 | 7 | 5 | 1 | 1 | 145 | 58 | 43 | 42 | 2 | 108 | 29 | 24 | 90 | 20 | 3 | 15.00% | 12 | 2 | 83.33% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 104 | 73 | 85 | 29 | 51 | 26 | 64.7% | 9.7% | 92.6% | 102.2 | LUCKY | |
26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 12 | -1 | 2 | 0.333 | 11 | 20 | 31 | 0 | 0 | 5 | 3 | 3 | 0 | 107 | 37 | 28 | 42 | 0 | 94 | 35 | 24 | 66 | 20 | 4 | 20.00% | 12 | 3 | 75.00% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 73 | 50 | 68 | 22 | 38 | 18 | 43.8% | 10.3% | 87.2% | 97.5 | FUN | |
27 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 12 | 8 | 4 | 3 | 0.750 | 12 | 22 | 34 | 0 | 0 | 5 | 2 | 5 | 0 | 70 | 23 | 21 | 26 | 0 | 71 | 14 | 26 | 45 | 6 | 1 | 16.67% | 12 | 3 | 75.00% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 48 | 33 | 46 | 14 | 25 | 12 | 68.8% | 17.1% | 88.7% | 105.9 | FUN | |
28 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 1 | 1 | 57 | 15 | 17 | 21 | 4 | 74 | 33 | 28 | 43 | 6 | 1 | 16.67% | 13 | 0 | 100.00% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 46 | 31 | 51 | 15 | 26 | 12 | 42.9% | 7.0% | 94.6% | 101.6 | DULL | |
29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 5 | 3 | 3 | 0 | 80 | 27 | 20 | 33 | 0 | 57 | 17 | 22 | 45 | 10 | 4 | 40.00% | 11 | 3 | 72.73% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 50 | 35 | 44 | 14 | 25 | 12 | 77.8% | 13.8% | 91.2% | 105.0 | LUCKY | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 1 | 3 | 0 | 48 | 16 | 11 | 21 | 0 | 61 | 23 | 20 | 43 | 9 | 2 | 22.22% | 9 | 1 | 88.89% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 48 | 35 | 47 | 14 | 23 | 11 | 80.0% | 12.5% | 96.7% | 109.2 | LUCKY | |
_Vs Division | 22 | 11 | 7 | 0 | 1 | 3 | 0 | 0 | 72 | 66 | 6 | 27 | 0.614 | 72 | 133 | 205 | 1 | 3 | 35 | 22 | 14 | 1 | 695 | 259 | 208 | 225 | 3 | 660 | 186 | 168 | 477 | 85 | 20 | 23.53% | 76 | 15 | 80.26% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 536 | 373 | 503 | 159 | 283 | 142 | 50.5% | 10.4% | 90.0% | 100.4 | FUN | |
_Vs Conference | 41 | 18 | 17 | 0 | 1 | 5 | 0 | 0 | 142 | 133 | 9 | 43 | 0.524 | 142 | 259 | 401 | 1 | 4 | 67 | 40 | 34 | 1 | 1299 | 468 | 379 | 449 | 3 | 1236 | 354 | 349 | 849 | 171 | 38 | 22.22% | 156 | 36 | 76.92% | 0 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 996 | 691 | 944 | 300 | 524 | 263 | 51.7% | 10.9% | 89.2% | 100.2 | FUN | |
_Since Last GM Reset | 69 | 34 | 27 | 0 | 3 | 5 | 0 | 0 | 234 | 212 | 22 | 79 | 0.572 | 234 | 428 | 662 | 2 | 5 | 105 | 68 | 58 | 3 | 2098 | 751 | 621 | 718 | 8 | 2169 | 628 | 615 | 1390 | 288 | 60 | 20.83% | 279 | 57 | 79.57% | 1 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 1648 | 1136 | 1623 | 509 | 879 | 439 | 52.9% | 11.2% | 90.2% | 101.4 | FUN | |
Total | 69 | 34 | 27 | 0 | 3 | 5 | 0 | 0 | 234 | 212 | 22 | 79 | 0.572 | 234 | 428 | 662 | 2 | 5 | 105 | 68 | 58 | 3 | 2098 | 751 | 621 | 718 | 8 | 2169 | 628 | 615 | 1390 | 288 | 60 | 20.83% | 279 | 57 | 79.57% | 1 | 1224 | 2467 | 49.61% | 1262 | 2504 | 50.40% | 552 | 1132 | 48.76% | 1648 | 1136 | 1623 | 509 | 879 | 439 | 52.9% | 11.2% | 90.2% | 101.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2467 |
Neutral Zone Start | 1132 |
Defensive Zone Start | 2504 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3038 |
Faceoffs Lost | 3065 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 30.3 | 30.68 |
Overtime | 30.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 171 |
---|---|
PP Goal | 60 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 20 | 17 |
Lost | 12 | 15 |
Overtime Lost | 3 | 2 |
PP Attempt | 288 |
---|---|
PP Goal | 60 |
PK Attempt | 279 |
PK Goal Against | 57 |
Home | |
---|---|
Shots For | 30.4 |
Shots Against | 31.4 |
Goals For | 3.4 |
Goals Against | 3.1 |
Hits | 20.1 |
Shots Blocked | 9.1 |
Pim | 8.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-09 | @ | Rangers3,Penguins5 | RECAP | |||||||||||
2024-10-10 | @ | Penguins6,Red Wings7 | RECAP | |||||||||||
2024-10-12 | @ | Penguins2,Maple Leafs4 | RECAP | |||||||||||
2024-10-14 | @ | Penguins4,Canadiens5 | RECAP | |||||||||||
2024-10-16 | @ | Sabres3,Penguins2 | RECAP | |||||||||||
2024-10-18 | @ | Hurricanes6,Penguins5 (OT) | RECAP | |||||||||||
2024-10-20 | @ | Penguins6,Jets5 (OT) | RECAP | |||||||||||
2024-10-22 | @ | Penguins4,Flames2 | RECAP | |||||||||||
2024-10-25 | @ | Penguins2,Oilers4 | RECAP | |||||||||||
2024-10-26 | @ | Penguins1,Canucks5 | RECAP | |||||||||||
2024-10-29 | @ | Wild5,Penguins2 | RECAP | |||||||||||
2024-10-31 | @ | Ducks4,Penguins3 | RECAP | |||||||||||
2024-11-02 | @ | Canadiens5,Penguins2 | RECAP | |||||||||||
2024-11-05 | @ | Penguins2,Islanders3 (OT) | RECAP | |||||||||||
2024-11-07 | @ | Penguins3,Hurricanes4 (OT) | RECAP | |||||||||||
2024-11-08 | @ | Penguins4,Capitals3 | RECAP | |||||||||||
2024-11-11 | @ | Stars1,Penguins3 | RECAP | |||||||||||
2024-11-13 | @ | Red Wings2,Penguins1 | RECAP | |||||||||||
2024-11-15 | @ | Penguins3,Blue Jackets5 | RECAP | |||||||||||
2024-11-16 | @ | Sharks2,Penguins3 (OT) | RECAP | |||||||||||
2024-11-19 | @ | Lightning1,Penguins6 | RECAP | |||||||||||
2024-11-22 | @ | Jets5,Penguins4 | RECAP | |||||||||||
2024-11-23 | @ | Hockey Club2,Penguins3 | RECAP | |||||||||||
2024-11-27 | @ | Canucks1,Penguins4 | RECAP | |||||||||||
2024-11-29 | @ | Penguins4,Bruins2 | RECAP | |||||||||||
2024-11-30 | @ | Flames2,Penguins4 | RECAP | |||||||||||
2024-12-03 | @ | Panthers4,Penguins3 (OT) | RECAP | |||||||||||
2024-12-06 | @ | Penguins4,Rangers2 | RECAP | |||||||||||
2024-12-07 | @ | Maple Leafs4,Penguins2 | RECAP | |||||||||||
2024-12-10 | @ | Avalanche4,Penguins6 | RECAP | |||||||||||
2024-12-12 | @ | Penguins7,Canadiens5 | RECAP | |||||||||||
2024-12-14 | @ | Penguins6,Senators2 | RECAP | |||||||||||
2024-12-17 | @ | Kings3,Penguins4 | RECAP | |||||||||||
2024-12-19 | @ | Penguins3,Predators0 | RECAP | |||||||||||
2024-12-21 | @ | Penguins1,Devils5 | RECAP | |||||||||||
2024-12-23 | @ | Flyers1,Penguins2 | RECAP | |||||||||||
2024-12-28 | @ | Penguins5,Islanders2 | RECAP | |||||||||||
2024-12-29 | @ | Islanders4,Penguins2 | RECAP | |||||||||||
2024-12-31 | @ | Penguins4,Red Wings3 | RECAP | |||||||||||
2025-01-03 | @ | Penguins5,Panthers1 | RECAP | |||||||||||
2025-01-05 | @ | Penguins5,Hurricanes4 | RECAP | |||||||||||
2025-01-07 | @ | Blue Jackets1,Penguins3 | RECAP | |||||||||||
2025-01-09 | @ | Oilers4,Penguins2 | RECAP | |||||||||||
2025-01-11 | @ | Senators5,Penguins2 | RECAP | |||||||||||
2025-01-12 | @ | Lightning7,Penguins6 (OT) | RECAP | |||||||||||
2025-01-14 | @ | Kraken1,Penguins3 | RECAP | |||||||||||
2025-01-17 | @ | Penguins2,Sabres4 | RECAP | |||||||||||
2025-01-18 | @ | Penguins2,Capitals6 | RECAP | |||||||||||
2025-01-20 | @ | Penguins4,Kings3 | RECAP | |||||||||||
2025-01-23 | @ | Penguins5,Ducks4 | RECAP | |||||||||||
2025-01-25 | @ | Penguins3,Kraken1 | RECAP | |||||||||||
2025-01-27 | @ | Penguins1,Sharks2 | RECAP | |||||||||||
2025-01-29 | @ | Penguins1,Hockey Club3 | RECAP | |||||||||||
2025-02-01 | @ | Predators1,Penguins4 | RECAP | |||||||||||
2025-02-04 | @ | Devils1,Penguins3 | RECAP | |||||||||||
2025-02-07 | @ | Penguins4,Rangers3 (OT) | RECAP | |||||||||||
2025-02-08 | @ | Penguins3,Flyers5 | RECAP | |||||||||||
2025-02-22 | @ | Capitals0,Penguins3 | RECAP | |||||||||||
2025-02-23 | @ | Rangers0,Penguins1 | RECAP | |||||||||||
2025-02-25 | @ | Penguins2,Flyers3 | RECAP | |||||||||||
2025-02-27 | @ | Flyers0,Penguins6 | RECAP | |||||||||||
2025-03-01 | @ | Bruins0,Penguins5 | RECAP | |||||||||||
2025-03-02 | @ | Maple Leafs3,Penguins1 | RECAP | |||||||||||
2025-03-04 | @ | Penguins0,Avalanche5 | RECAP | |||||||||||
2025-03-07 | @ | Penguins5,Golden Knights2 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | Penguins2,Wild4 | RECAP | |||||||||||
2025-03-11 | @ | Golden Knights3,Penguins6 | RECAP | |||||||||||
2025-03-13 | @ | Blues1,Penguins4 | RECAP | |||||||||||
2025-03-15 | @ | Devils5,Penguins4 | RECAP | |||||||||||
2025-03-18 | @ | |||||||||||||
2025-03-21 | @ | |||||||||||||
2025-03-23 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-06 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-11 | @ | |||||||||||||
2025-04-13 | @ | |||||||||||||
2025-04-17 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
86,858,190$ | 1,454,696$ | 86,986,260$ | 1,013,740$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | PPG Paints Arena | |
City | Pittsburgh | ||
Capacity | 18387 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 3387 | 3000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 197855 | 168224 | 84108 | 105000 | 34978 |
Attendance PCT | 94.22% | 96.13% | 70.95% | 100.00% | 99.94% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
6 | 16862 - 91.71% | 2,146,713$ | 75,134,970$ | 18387 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
86,858,190$ | 86,833,190$ | 0$ | 1,454,696$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
76,113,894$ | 443,026$ | 71,797,758$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
12,880,281$ | 31 | 468,154$ | 14,512,774$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
14,935,954$ | 86,986,260$ | 172,875,275$ | 171,468,701$ |
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 |
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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 |
---|---|---|---|---|---|
Albin Sundsvik | 2021 | 214 | |||
Alexander Chmelevski | |||||
Alexander Hellnemo | 2023 | 134 | |||
Alexander Weiermair | 2023 | 216 | |||
Andrei Loshko | 2023 | 123 | |||
Arvid Bergstrom | 2023 | 198 | |||
Blake Biondi | 2020 | 166 | |||
Cole Burbidge | 2023 | 193 | |||
Daniil Orlov | 2022 | 119 | |||
Dans Locmelis | 2023 | 155 | |||
Filip Lindberg | Link | ||||
Jett Luchanko | 2024 | 20 | ELC 2024-25 | Link | |
Joel Ratkovic Berndtsson | 2022 | 214 | |||
Liam Nilsson | 2021 | 118 | |||
Lukas Dragicevic | 2023 | 28 | ELC 2024-25 | Link | |
Max Curran | 2024 | 116 | |||
Noah Chadwick | 2024 | 83 | ELC 2024-25 | Link | |
Otto Stenberg | 2023 | 27 | ELC 2024-25 | Link | |
Paul Fischer | 2023 | 117 | |||
Sergei Murashov | 2023 | 219 | ELC 2024-25 | Link | |
Svante Sjodin | 2024 | 212 | |||
Yegor Graf | 2024 | 187 | |||
Yevgeni Volokhin | 2024 | 137 |
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