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Full Scoreboard »» |
Pittsburgh Penguins 19-28-7, 45pts · 13th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 58 | 39 | 88 | 77 | 71 | 83 | 86 | 75 | 62 | 76 | 79 | 73 | 75 | 86 | 79 | 0 | 27 | 86 | 36 | 7,538,461$/5yrs | |||
![]() | 0 | C | 100.00 | 69 | 45 | 71 | 76 | 87 | 84 | 88 | 75 | 86 | 79 | 68 | 72 | 77 | 75 | 78 | 0 | 27 | 84 | 28 | 8,000,000$/5yrs | |||
![]() | 0 | C | 100.00 | 54 | 43 | 80 | 73 | 75 | 82 | 83 | 72 | 81 | 74 | 64 | 67 | 72 | 79 | 75 | 0 | 29 | 80 | 31 | 2,250,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 80 | 42 | 87 | 66 | 72 | 75 | 89 | 64 | 57 | 65 | 62 | 82 | 64 | 71 | 67 | 0 | 19 | 79 | 26 | 2,100,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 85 | 48 | 79 | 65 | 83 | 74 | 85 | 64 | 80 | 68 | 62 | 75 | 63 | 73 | 67 | 0 | 19 | 79 | 27 | 1,275,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 89 | 73 | 59 | 66 | 86 | 78 | 85 | 67 | 52 | 68 | 71 | 62 | 66 | 77 | 67 | 0 | 33 | 79 | 29 | 3,200,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 53 | 39 | 87 | 67 | 76 | 79 | 83 | 68 | 54 | 66 | 63 | 72 | 67 | 85 | 75 | 0 | 27 | 78 | 35 | 6,000,000$/2yrs | |||
![]() | 71 | C/LW | 100.00 | 78 | 48 | 87 | 63 | 98 | 75 | 71 | 64 | 73 | 61 | 62 | 65 | 63 | 61 | 62 | 0 | 37 | 76 | 21 | 894,166$/3yrs | |||
![]() | 46 | C | 100.00 | 61 | 38 | 84 | 68 | 62 | 76 | 84 | 66 | 77 | 71 | 60 | 72 | 64 | 65 | 63 | 0 | 27 | 76 | 22 | 700,000$/1yrs | |||
![]() | 90 | C/LW/RW | 100.00 | 65 | 39 | 87 | 66 | 70 | 79 | 73 | 64 | 72 | 61 | 63 | 67 | 66 | 63 | 64 | 0 | 27 | 75 | 21 | 925,000$/2yrs | |||
![]() | 9 | C/RW | 100.00 | 56 | 39 | 89 | 69 | 79 | 74 | 61 | 67 | 73 | 65 | 63 | 58 | 66 | 61 | 62 | 0 | 27 | 75 | 21 | 863,333$/2yrs | |||
![]() | 21 | LW/RW | 100.00 | 66 | 46 | 90 | 66 | 85 | 79 | 74 | 63 | 56 | 61 | 61 | 64 | 63 | 61 | 62 | 0 | 33 | 75 | 21 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 85 | 42 | 66 | 72 | 86 | 90 | 82 | 71 | 30 | 81 | 70 | 90 | 58 | 84 | 75 | 0 | 44 | 89 | 34 | 6,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 41 | 86 | 67 | 82 | 88 | 83 | 66 | 30 | 73 | 61 | 79 | 52 | 73 | 68 | 0 | 27 | 83 | 26 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 93 | 57 | 69 | 65 | 99 | 83 | 84 | 66 | 30 | 68 | 64 | 82 | 55 | 69 | 70 | 0 | 23 | 83 | 25 | 4,000,000$/6yrs | |||
![]() | 0 | D | 100.00 | 83 | 38 | 85 | 67 | 82 | 84 | 83 | 65 | 30 | 73 | 57 | 81 | 53 | 71 | 66 | 0 | 27 | 83 | 26 | 4,083,333$/2yrs | |||
![]() | 10 | D | 100.00 | 76 | 39 | 81 | 69 | 73 | 83 | 84 | 68 | 30 | 73 | 57 | 66 | 54 | 61 | 63 | 0 | 24 | 79 | 21 | 925,000$/5yrs | |||
![]() | 0 | D | 100.00 | 72 | 39 | 90 | 65 | 75 | 82 | 81 | 64 | 30 | 72 | 62 | 63 | 52 | 71 | 66 | 0 | 18 | 78 | 26 | 2,700,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 54 | 38 | 89 | 68 | 67 | 82 | 84 | 67 | 30 | 71 | 59 | 68 | 50 | 63 | 65 | 0 | 19 | 77 | 22 | 735,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 72 | 44 | 82 | 68 | 79 | 81 | 81 | 67 | 54 | 70 | 64 | 71 | 62 | 71 | 68 | 0 | 27 | 80 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 100.00 | 86 | 93 | 91 | 84 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 78 | 84 | 0 | 16 | 86 | 30 | 5,750,000$/4yrs |
![]() | 31 | 100.00 | 77 | 75 | 73 | 93 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 67 | 71 | 0 | 19 | 79 | 24 | 1,250,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 82 | 84 | 82 | 89 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 73 | 78 | 0 | 18 | 83 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 75 | 86 | 82 | 80 | 83 | 77 | 65 | USA | 55 | 1 | 1,000,000$ |
General Manager | Étienne Côté |
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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 | Ryan Johansen | 0 | C | 54 | 15 | 26 | 41 | -13 | 46 | 0 | 147 | 161 | 54 | 96 | 9.32% | 13 | 22.71 | 5 | 9 | 14 | 193 | 1 | 0 | 1 | 118 | 1 | 2 | 53.32% | 1626 | 0 | 0 | 0 | 0 | 0.67 | 1 | 3 | ||
2 | Zach Parise | 0 | LW | 54 | 15 | 26 | 41 | -13 | 8 | 0 | 23 | 223 | 58 | 148 | 6.73% | 15 | 22.76 | 5 | 7 | 12 | 192 | 0 | 0 | 0 | 132 | 2 | 0 | 49.48% | 97 | 0 | 0 | 0 | 0 | 0.67 | 0 | 3 | ||
3 | Olli Maatta | 0 | D | 54 | 10 | 21 | 31 | -17 | 50 | 0 | 94 | 55 | 25 | 59 | 18.18% | 60 | 21.66 | 7 | 6 | 13 | 153 | 0 | 1 | 1 | 135 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
4 | Alexander Edler | 0 | D | 52 | 3 | 27 | 30 | -1 | 50 | 0 | 157 | 83 | 20 | 58 | 3.61% | 71 | 22.10 | 1 | 7 | 8 | 127 | 0 | 0 | 0 | 168 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
5 | Loui Eriksson | 0 | LW/RW | 54 | 8 | 15 | 23 | -6 | 8 | 0 | 21 | 66 | 23 | 75 | 12.12% | 7 | 12.65 | 0 | 5 | 5 | 107 | 0 | 0 | 0 | 0 | 0 | 2 | 35.90% | 39 | 0 | 0 | 0 | 0 | 0.67 | 0 | 1 | ||
6 | Cody Ceci | 0 | D | 54 | 5 | 16 | 21 | 1 | 54 | 0 | 99 | 37 | 10 | 19 | 13.51% | 71 | 19.32 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 169 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
7 | Kyle Turris | 0 | C | 51 | 8 | 9 | 17 | -7 | 21 | 5 | 48 | 106 | 32 | 69 | 7.55% | 7 | 14.12 | 1 | 1 | 2 | 48 | 0 | 0 | 0 | 14 | 2 | 0 | 51.47% | 816 | 0 | 0 | 0 | 0 | 0.47 | 1 | 1 | ||
8 | Brock McGinn | 0 | LW/RW | 53 | 4 | 12 | 16 | 4 | 12 | 0 | 25 | 64 | 15 | 60 | 6.25% | 9 | 12.73 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 148 | 1 | 0 | 48.10% | 79 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
9 | Victor Mete | 0 | D | 32 | 3 | 13 | 16 | 0 | 8 | 0 | 10 | 38 | 8 | 22 | 7.89% | 20 | 16.80 | 1 | 6 | 7 | 98 | 0 | 0 | 0 | 20 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | ||
10 | Henri Jokiharju | 10 | D | 54 | 2 | 13 | 15 | -16 | 47 | 5 | 79 | 44 | 18 | 37 | 4.55% | 53 | 20.26 | 2 | 2 | 4 | 165 | 0 | 1 | 1 | 105 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
11 | Nikita Zadorov | 0 | D | 54 | 1 | 13 | 14 | -9 | 93 | 15 | 176 | 37 | 13 | 22 | 2.70% | 70 | 19.67 | 1 | 1 | 2 | 21 | 0 | 0 | 0 | 156 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
12 | Blake Lizotte | 46 | C | 54 | 7 | 6 | 13 | -2 | 8 | 0 | 29 | 61 | 17 | 36 | 11.48% | 3 | 8.75 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 18 | 1 | 0 | 44.17% | 523 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
13 | Sean Kuraly | 0 | C/LW | 54 | 5 | 7 | 12 | 2 | 25 | 5 | 57 | 69 | 17 | 33 | 7.25% | 9 | 13.52 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 172 | 1 | 0 | 50.72% | 690 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
14 | Cody Glass | 9 | C/RW | 54 | 6 | 6 | 12 | -15 | 12 | 0 | 42 | 79 | 26 | 69 | 7.59% | 4 | 16.63 | 1 | 3 | 4 | 174 | 0 | 0 | 0 | 3 | 2 | 0 | 38.67% | 150 | 0 | 0 | 0 | 0 | 0.27 | 0 | 1 | ||
15 | Zack Kassian | 0 | LW/RW | 55 | 7 | 3 | 10 | -7 | 42 | 10 | 89 | 80 | 26 | 46 | 8.75% | 6 | 12.24 | 1 | 1 | 2 | 51 | 0 | 0 | 0 | 12 | 1 | 1 | 41.51% | 53 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
16 | Michael Rasmussen | 71 | C/LW | 43 | 5 | 4 | 9 | -1 | 22 | 0 | 53 | 45 | 6 | 31 | 11.11% | 3 | 10.51 | 2 | 4 | 6 | 78 | 0 | 0 | 0 | 17 | 1 | 1 | 51.52% | 231 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
17 | Markus Nutivaara | 0 | D | 30 | 4 | 2 | 6 | -2 | 14 | 0 | 32 | 19 | 6 | 17 | 21.05% | 18 | 15.79 | 0 | 0 | 0 | 65 | 0 | 0 | 0 | 16 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
18 | Jason Robertson | 21 | LW/RW | 46 | 3 | 3 | 6 | -9 | 19 | 5 | 41 | 41 | 6 | 34 | 7.32% | 11 | 15.81 | 2 | 0 | 2 | 86 | 0 | 0 | 0 | 19 | 0 | 1 | 36.00% | 75 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
19 | Jesper Boqvist | 90 | C/LW/RW | 54 | 0 | 5 | 5 | -2 | 4 | 0 | 29 | 35 | 9 | 24 | 0.00% | 5 | 7.04 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 46 | 0 | 0 | 51.20% | 166 | 0 | 0 | 0 | 0 | 0.26 | 0 | 1 | ||
Team Total or Average | 956 | 111 | 227 | 338 | -113 | 543 | 45 | 1251 | 1343 | 389 | 955 | 8.27% | 455 | 16.10 | 29 | 53 | 82 | 1594 | 1 | 2 | 3 | 1477 | 15 | 8 | 50.14% | 4545 | 0 | 0 | 0 | 0 | 0.44 | 2 | 10 |
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 | Martin Jones | 41 | 17 | 19 | 4 | 0.906 | 2.68 | 2264 | 4 | 2 | 101 | 1069 | 0 | 1 | 1 | 0.400 | 10 | 39 | 15 | 3 | 2 | 4 | |
2 | Adin Hill | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 34 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0.000 | 0 | 0 | 7 | 0 | 0 | 0 | |
Team Total or Average | 42 | 17 | 19 | 4 | 0.906 | 2.64 | 2299 | 4 | 2 | 101 | 1080 | 0 | 1 | 1 | 0.400 | 10 | 39 | 22 | 3 | 2 | 4 |
Projected Total Cap Hit | 72,139,294$ |
Projected Cap Space | 9,360,706$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 49,811,339$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Penguins Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adin Hill | G | 24 | 1,250,000$ | 1,250,000$ | ![]() | ||||||
Alexander Edler | D | 34 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Blake Lizotte ![]() | C | 22 | 700,000$ | 700,000$ | RFA | ||||||
Brock McGinn | LW/RW | 26 | 2,100,000$ | 2,100,000$ | ![]() | ||||||
Cody Ceci | D | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Cody Glass ![]() | C/RW | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Henri Jokiharju ![]() | D | 21 | 925,000$ | 925,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | ![]() | ||
Jason Robertson ![]() | LW/RW | 21 | 700,000$ | 700,000$ | RFA | ||||||
Jesper Boqvist ![]() | C/LW/RW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Kyle Turris | C | 31 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Loui Eriksson | LW/RW | 35 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Markus Nutivaara | D | 26 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
Martin Jones | G | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |||
Michael Rasmussen ![]() | C/LW | 21 | 894,166$ | 894,166$ | 1,650,000$ | 1,650,000$ | RFA | ||||
Nikita Zadorov | D | 25 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |
Olli Maatta | D | 26 | 4,083,333$ | 4,083,333$ | 4,083,333$ | ![]() | |||||
Ryan Johansen | C | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Sean Kuraly | C/LW | 27 | 1,275,000$ | 1,275,000$ | UFA | ||||||
Victor Mete | D | 22 | 735,000$ | 735,000$ | RFA | ||||||
Zach Parise | LW | 36 | 7,538,461$ | 7,538,461$ | 7,538,461$ | 7,538,461$ | 7,538,461$ | 7,538,461$ | UFA | ||
Zack Kassian | LW/RW | 29 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi ![]() | C/RW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Anton Slepyshev ![]() | LW | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Cameron Crotty ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Cameron Morrison ![]() | C | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Christian Wolanin ![]() | D | 25 | 2,000,000$ | 2,000,000$ | ![]() | ||||||
Cole Schwindt ![]() | C/RW | 19 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Daniel Carr ![]() | LW/RW | 28 | 700,000$ | 700,000$ | 700,000$ | UFA | |||||
David Backes ![]() | C/RW | 36 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Eetu Luostarinen ![]() | C | 22 | 897,500$ | 897,500$ | 897,500$ | RFA | |||||
Eetu Tuulola ![]() | RW | 22 | 809,167$ | 809,167$ | 809,167$ | RFA | |||||
Isaac Ratcliffe ![]() | LW | 21 | 780,833$ | 780,833$ | 780,833$ | RFA | |||||
Jared McIsaac ![]() | D | 20 | 764,167$ | 764,167$ | 764,167$ | 764,167$ | RFA | ||||
Jesse Ylonen ![]() | RW | 21 | 880,833$ | 880,833$ | 880,833$ | 880,833$ | RFA | ||||
Joey Anderson ![]() | RW | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | ![]() | ||||
Johan Sodergran ![]() | RW | 20 | 700,000$ | 700,000$ | RFA | ||||||
Julien Gauthier ![]() | RW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Lukas Dostal ![]() | G | 20 | 700,000$ | 700,000$ | RFA | ||||||
Markus Niemelainen ![]() | D | 22 | 817,500$ | 817,500$ | 817,500$ | RFA | |||||
Martin Kaut ![]() | C/RW | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Mathieu Olivier ![]() | RW | 23 | 730,000$ | 730,000$ | RFA | ||||||
Michael McLeod ![]() | C | 22 | 863,333$ | 863,333$ | RFA | ||||||
Mikhail Vorobyev ![]() | C | 23 | 925,000$ | 925,000$ | RFA | ||||||
Mikko Lehtonen ![]() | D | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Nic Petan ![]() | C/LW/RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Oskari Laaksonen ![]() | D | 21 | 853,333$ | 853,333$ | 853,333$ | 853,333$ | RFA | ||||
Otto Leskinen ![]() | D | 23 | 925,000$ | 925,000$ | RFA | ||||||
Philipp Kurashev ![]() | C/LW | 21 | 842,500$ | 842,500$ | 842,500$ | RFA | |||||
Riley Tufte ![]() | LW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Ryan Lindgren ![]() | D | 22 | 925,000$ | 925,000$ | 2,000,000$ | 2,000,000$ | ![]() | ||||
Trent Frederic ![]() | C/LW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Ukko-Pekka Luukkonen ![]() | G | 21 | 778,000$ | 778,000$ | 778,000$ | RFA | |||||
Urho Vaakanainen ![]() | D | 21 | 925,000$ | 925,000$ | RFA | ||||||
Vasili Ponomaryov ![]() | C | 18 | 818,333$ | 818,333$ | 818,333$ | 818,333$ | RFA | ||||
Victor Rask ![]() | C | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 4 | 0 | 0 | 0 | 46 | 23 | 10 | 13 | 0 | 49 | 13 | 16 | 48 | 10 | 1 | 10.00% | 7 | 3 | 57.14% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 46 | 31 | 46 | 16 | 26 | 12 | 75.0% | 8.7% | 91.8% | 100.5 | DULL | |
2 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 2 | 0.250 | 5 | 10 | 15 | 0 | 0 | 4 | 1 | 0 | 0 | 72 | 20 | 27 | 25 | 0 | 122 | 32 | 48 | 91 | 11 | 1 | 9.09% | 16 | 5 | 68.75% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 92 | 60 | 95 | 28 | 52 | 26 | 40.0% | 6.9% | 91.0% | 97.9 | Unlucky | |
3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 2 | 5 | 0 | 0 | 72 | 23 | 25 | 24 | 0 | 54 | 9 | 14 | 39 | 9 | 1 | 11.11% | 5 | 3 | 40.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 44 | 30 | 50 | 15 | 25 | 11 | 50.0% | 9.7% | 83.3% | 93.1 | FUN | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 30 | 9 | 10 | 11 | 0 | 30 | 8 | 6 | 30 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 25 | 17 | 21 | 7 | 12 | 6 | 40.0% | 6.7% | 90.0% | 96.7 | Unlucky | |
5 | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 8 | 16 | -8 | 1 | 0.125 | 8 | 15 | 23 | 0 | 0 | 3 | 4 | 1 | 0 | 102 | 39 | 32 | 29 | 4 | 112 | 33 | 41 | 89 | 14 | 1 | 7.14% | 17 | 6 | 64.71% | 1 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 94 | 63 | 97 | 31 | 53 | 25 | 41.2% | 7.8% | 85.7% | 93.6 | Unlucky | |
6 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 6 | 0.750 | 13 | 26 | 39 | 0 | 0 | 5 | 4 | 4 | 0 | 114 | 45 | 39 | 30 | 0 | 99 | 31 | 27 | 76 | 14 | 6 | 42.86% | 9 | 2 | 77.78% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 94 | 65 | 96 | 27 | 48 | 23 | 63.6% | 11.4% | 93.9% | 105.3 | LUCKY | |
7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 30 | 5 | 8 | 17 | 3 | 24 | 5 | 4 | 15 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 28 | 20 | 23 | 7 | 13 | 6 | 50.0% | 6.7% | 87.5% | 94.2 | Unlucky | |
8 | 4 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 13 | 12 | 1 | 6 | 0.750 | 13 | 24 | 37 | 0 | 0 | 3 | 5 | 5 | 0 | 106 | 40 | 35 | 31 | 0 | 92 | 16 | 20 | 90 | 22 | 4 | 18.18% | 9 | 0 | 100.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 105 | 73 | 84 | 29 | 52 | 26 | 42.9% | 12.3% | 87.0% | 99.2 | FUN | |
9 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 16 | 13 | 3 | 7 | 0.875 | 16 | 30 | 46 | 0 | 0 | 5 | 6 | 5 | 0 | 115 | 37 | 40 | 38 | 0 | 135 | 36 | 30 | 98 | 15 | 3 | 20.00% | 15 | 2 | 86.67% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 94 | 64 | 93 | 28 | 52 | 25 | 54.2% | 13.9% | 90.4% | 104.3 | FUN | |
10 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 0 | 2 | 1 | 32 | 8 | 7 | 13 | 4 | 36 | 9 | 14 | 23 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 25 | 16 | 22 | 6 | 14 | 7 | 57.1% | 15.6% | 88.9% | 104.5 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 10 | 8 | 6 | 0 | 28 | 8 | 17 | 32 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 21 | 14 | 25 | 7 | 12 | 6 | 33.3% | 4.2% | 89.3% | 93.5 | Unlucky | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 19 | 9 | 6 | 4 | 0 | 27 | 6 | 8 | 14 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 24 | 17 | 23 | 6 | 12 | 6 | 50.0% | 5.3% | 92.6% | 97.9 | DULL | |
13 | 5 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 10 | 13 | -3 | 3 | 0.300 | 10 | 18 | 28 | 0 | 1 | 6 | 3 | 1 | 0 | 130 | 35 | 53 | 40 | 2 | 140 | 47 | 49 | 114 | 19 | 1 | 5.26% | 19 | 1 | 94.74% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 119 | 82 | 124 | 37 | 60 | 30 | 42.9% | 7.7% | 90.7% | 98.4 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 35 | 14 | 13 | 8 | 0 | 25 | 3 | 12 | 28 | 9 | 3 | 33.33% | 5 | 1 | 80.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 25 | 17 | 21 | 7 | 13 | 7 | 100.0% | 14.3% | 96.0% | 110.3 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 18 | 5 | 10 | 3 | 0 | 31 | 6 | 10 | 17 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 21 | 14 | 26 | 7 | 12 | 6 | 25.0% | 5.6% | 87.1% | 92.7 | Unlucky | |
16 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 2 | 30 | 12 | 8 | 9 | 7 | 31 | 7 | 2 | 25 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 25 | 19 | 25 | 7 | 13 | 6 | 28.6% | 13.3% | 83.9% | 97.2 | FUN | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 21 | 8 | 7 | 6 | 0 | 24 | 9 | 12 | 20 | 5 | 1 | 20.00% | 5 | 2 | 60.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 22 | 15 | 24 | 7 | 12 | 6 | 50.0% | 9.5% | 87.5% | 97.0 | FUN | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 67 | 26 | 23 | 18 | 0 | 40 | 10 | 8 | 48 | 7 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 57 | 41 | 36 | 13 | 25 | 13 | 50.0% | 7.5% | 87.5% | 95.0 | Unlucky | |
19 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 68 | 24 | 20 | 24 | 0 | 106 | 36 | 47 | 66 | 10 | 0 | 0.00% | 17 | 2 | 88.24% | 1 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 66 | 44 | 76 | 22 | 36 | 17 | 30.8% | 5.9% | 89.6% | 95.5 | Unlucky | |
20 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 6 | 0.600 | 7 | 13 | 20 | 1 | 1 | 2 | 2 | 3 | 0 | 134 | 43 | 44 | 47 | 0 | 152 | 52 | 78 | 101 | 15 | 3 | 20.00% | 25 | 2 | 92.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 121 | 86 | 118 | 36 | 60 | 29 | 44.4% | 5.2% | 95.4% | 100.6 | DULL | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 25 | 5 | 8 | 12 | 0 | 30 | 7 | 8 | 24 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 22 | 15 | 25 | 7 | 12 | 6 | 0.0% | 4.0% | 93.3% | 97.3 | DULL | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 23 | 12 | 7 | 4 | 0 | 22 | 6 | 6 | 23 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 22 | 15 | 24 | 7 | 12 | 6 | 0.0% | 8.7% | 95.5% | 104.2 | DULL | |
23 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 14 | -10 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 68 | 25 | 26 | 17 | 0 | 116 | 26 | 38 | 52 | 10 | 0 | 0.00% | 16 | 3 | 81.25% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 65 | 43 | 78 | 22 | 36 | 17 | 26.7% | 5.9% | 87.9% | 93.8 | Unlucky | |
24 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 1 | 1 | 41 | 11 | 13 | 15 | 2 | 24 | 4 | 8 | 16 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 29 | 21 | 19 | 6 | 12 | 6 | 57.1% | 9.8% | 87.5% | 97.3 | FUN | |
_Vs Division | 27 | 12 | 11 | 0 | 0 | 3 | 0 | 1 | 69 | 74 | -5 | 28 | 0.519 | 69 | 131 | 200 | 1 | 1 | 24 | 27 | 18 | 0 | 715 | 247 | 242 | 224 | 4 | 766 | 209 | 258 | 584 | 100 | 19 | 19.00% | 96 | 20 | 79.17% | 1 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 647 | 445 | 635 | 198 | 345 | 169 | 48.1% | 9.7% | 90.3% | 100.0 | FUN | |
_Vs Conference | 42 | 14 | 23 | 0 | 0 | 4 | 0 | 1 | 96 | 123 | -27 | 33 | 0.393 | 96 | 180 | 276 | 1 | 2 | 36 | 36 | 24 | 0 | 1099 | 374 | 381 | 340 | 6 | 1222 | 345 | 418 | 914 | 152 | 21 | 13.82% | 160 | 28 | 82.50% | 2 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 1003 | 690 | 998 | 309 | 530 | 261 | 44.1% | 8.7% | 89.9% | 98.7 | Unlucky | |
_Since Last GM Reset | 54 | 17 | 28 | 0 | 2 | 4 | 0 | 3 | 126 | 155 | -29 | 45 | 0.417 | 126 | 235 | 361 | 1 | 2 | 48 | 43 | 33 | 4 | 1422 | 488 | 479 | 444 | 22 | 1549 | 419 | 523 | 1179 | 214 | 31 | 14.49% | 205 | 37 | 81.95% | 2 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 1297 | 895 | 1282 | 398 | 684 | 339 | 44.6% | 8.9% | 90.0% | 98.9 | Unlucky | |
Total | 54 | 17 | 28 | 0 | 2 | 4 | 0 | 3 | 126 | 155 | -29 | 45 | 0.417 | 126 | 235 | 361 | 1 | 2 | 48 | 43 | 33 | 4 | 1422 | 488 | 479 | 444 | 22 | 1549 | 419 | 523 | 1179 | 214 | 31 | 14.49% | 205 | 37 | 81.95% | 2 | 871 | 1774 | 49.10% | 939 | 1875 | 50.08% | 417 | 815 | 51.17% | 1297 | 895 | 1282 | 398 | 684 | 339 | 44.6% | 8.9% | 90.0% | 98.9 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1774 |
Neutral Zone Start | 815 |
Defensive Zone Start | 1875 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2227 |
Faceoffs Lost | 2237 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.0 | 9.57 |
2nd Period | 17.9 | 20.31 |
3rd Period | 26.1 | 30.68 |
Overtime | 26.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 92 |
---|---|
PP Goal | 31 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 12 | 7 |
Lost | 13 | 15 |
Overtime Lost | 2 | 5 |
PP Attempt | 214 |
---|---|
PP Goal | 31 |
PK Attempt | 205 |
PK Goal Against | 37 |
Home | |
---|---|
Shots For | 26.3 |
Shots Against | 28.7 |
Goals For | 2.3 |
Goals Against | 2.9 |
Hits | 21.8 |
Shots Blocked | 7.8 |
Pim | 9.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2020-10-01 | @ | Flyers3,Penguins4 | RECAP | |||||||||||
2020-10-03 | @ | Penguins4,Hurricanes1 | RECAP | |||||||||||
2020-10-04 | @ | Penguins3,Islanders4 (SO) | RECAP | |||||||||||
2020-10-07 | @ | Penguins2,Islanders3 | RECAP | |||||||||||
2020-10-09 | @ | Capitals3,Penguins5 | RECAP | |||||||||||
2020-10-12 | @ | Blue Jackets2,Penguins0 | RECAP | |||||||||||
2020-10-13 | @ | Penguins1,Lightning3 | RECAP | |||||||||||
2020-10-16 | @ | Rangers2,Penguins3 | RECAP | |||||||||||
2020-10-18 | @ | Penguins3,Hurricanes2 | RECAP | |||||||||||
2020-10-19 | @ | Flyers2,Penguins1 | RECAP | |||||||||||
2020-10-22 | @ | Penguins2,Panthers6 | RECAP | |||||||||||
2020-10-23 | @ | Penguins4,Devils5 | RECAP | |||||||||||
2020-10-26 | @ | Lightning4,Penguins3 (OT) | RECAP | |||||||||||
2020-10-28 | @ | Bruins3,Penguins2 | RECAP | |||||||||||
2020-10-30 | @ | Penguins3,Rangers4 (OT) | RECAP | |||||||||||
2020-10-31 | @ | Penguins0,Lightning2 | RECAP | |||||||||||
2020-11-03 | @ | Rangers1,Penguins3 | RECAP | |||||||||||
2020-11-04 | @ | Penguins2,Panthers3 | RECAP | |||||||||||
2020-11-07 | @ | Lightning0,Penguins3 | RECAP | |||||||||||
2020-11-10 | @ | Hurricanes2,Penguins1 | RECAP | |||||||||||
2020-11-14 | @ | Maple Leafs4,Penguins3 | RECAP | |||||||||||
2020-11-16 | @ | Penguins2,Blue Jackets1 | RECAP | |||||||||||
2020-11-18 | @ | Coyotes5,Penguins4 (SO) | RECAP | |||||||||||
2020-11-22 | @ | Predators2,Penguins1 | RECAP | |||||||||||
2020-11-24 | @ | Penguins0,Maple Leafs5 | RECAP | |||||||||||
2020-11-26 | @ | Flyers2,Penguins0 | RECAP | |||||||||||
2020-11-28 | @ | Penguins1,Maple Leafs5 | RECAP | |||||||||||
2020-11-30 | @ | Penguins4,Capitals3 | RECAP | |||||||||||
2020-12-01 | @ | Blue Jackets0,Penguins1 | RECAP | |||||||||||
2020-12-04 | @ | Wild4,Penguins5 (OT) | RECAP | |||||||||||
2020-12-06 | @ | Penguins1,Ducks2 | RECAP | |||||||||||
2020-12-09 | @ | Blues4,Penguins1 | RECAP | |||||||||||
2020-12-12 | @ | Penguins2,Stars1 | RECAP | |||||||||||
2020-12-13 | @ | Golden Knights3,Penguins4 (OT) | RECAP | |||||||||||
2020-12-16 | @ | Penguins2,Senators3 | RECAP | |||||||||||
2020-12-17 | @ | Devils4,Penguins3 | RECAP | |||||||||||
2020-12-20 | @ | Penguins1,Blue Jackets3 | RECAP | |||||||||||
2020-12-21 | @ | Penguins4,Capitals5 (OT) | RECAP | |||||||||||
2020-12-23 | @ | Sabres4,Penguins2 | RECAP | |||||||||||
2020-12-25 | @ | Blue Jackets1,Penguins3 | RECAP | |||||||||||
2020-12-27 | @ | Penguins0,Flyers4 | RECAP | |||||||||||
2020-12-29 | @ | Penguins2,Avalanche3 (SO) | RECAP | |||||||||||
2020-12-31 | @ | Oilers1,Penguins5 | RECAP | |||||||||||
2021-01-02 | @ | Canucks3,Penguins1 | RECAP | |||||||||||
2021-01-04 | @ | Penguins3,Sabres1 | RECAP | |||||||||||
2021-01-06 | @ | Hurricanes1,Penguins5 | RECAP | |||||||||||
2021-01-08 | @ | Penguins4,Rangers5 (OT) | RECAP | |||||||||||
2021-01-11 | @ | Penguins1,Islanders5 | RECAP | |||||||||||
2021-01-12 | @ | Panthers2,Penguins0 | RECAP | |||||||||||
2021-01-14 | @ | Penguins3,Flames1 | RECAP | |||||||||||
2021-01-16 | @ | Lightning4,Penguins3 | RECAP | |||||||||||
2021-01-19 | @ | Penguins2,Islanders4 | RECAP | |||||||||||
2021-01-20 | @ | Capitals2,Penguins3 | RECAP | |||||||||||
2021-01-23 | @ | Penguins1,Flames3 | RECAP | |||||||||||
2021-01-25 | @ | |||||||||||||
2021-01-28 | @ | |||||||||||||
2021-01-29 | @ | |||||||||||||
2021-01-30 | @ | |||||||||||||
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2021-02-17 | @ | |||||||||||||
2021-02-19 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2021-02-21 | @ | |||||||||||||
2021-02-23 | @ | |||||||||||||
2021-02-25 | @ | |||||||||||||
2021-02-28 | @ | |||||||||||||
2021-03-01 | @ | |||||||||||||
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2021-03-13 | @ | |||||||||||||
2021-03-14 | @ | |||||||||||||
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2021-03-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,889,293$ | 0$ | 72,139,294$ | 5,610,707$ |
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 | 150769 | 122739 | 49319 | 99749 | 24463 |
Attendance PCT | 93.07% | 90.92% | 91.33% | 92.36% | 90.60% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
14 | 16557 - 91.98% | 1,460,821$ | 39,442,162$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,889,293$ | 75,889,293$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
53,959,381$ | 72,139,294$ | 49,811,339$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
20,451,491$ | 64 | 429,549$ | 27,491,136$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
28,569,114$ | 75,889,293$ | 33,229,191$ | 25,111,568$ |
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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2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
Priority | Type | Description |
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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 |
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Adam Edstrom | 2019 | 153 | |||
Adam Ginning | 2018 | 50 | 4.5 - 8.5 | ||
Alex Vlasic | 2019 | 29 | |||
Alexei Lipanov | 5.0 - 3.5 | ||||
Antti Tuomisto | 2019 | 64 | |||
Gianni Fairbrother | 2019 | 91 | |||
Henrik Tikkanen | |||||
Jacob Leguerrier | 2019 | 144 | |||
Jacob Moverare | 4.5 - 6.0 | ||||
Joni Jurmo | 2020 | 63 | |||
Kristian Tanus | 2020 | 170 | |||
Luke Tuch | 2020 | 47 | |||
Mathew Hill | |||||
Matthew Wedman | 2019 | 215 | |||
Mikael Hakkarainen | |||||
Mikko Kokkonen | 2019 | 51 | 6.5 - 7.5 | ||
Santeri Airola | 2019 | 207 | |||
Shakir Mukhamadullin | 2020 | 37 | |||
Tyce Thompson | 2019 | 109 | 3.0 - 3.5 | ||
Tyler Kleven | 2020 | 66 | |||
Vladislav Kotkov | 6.5 - 3.5 |
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