PENGUINS | |
GP: 9 | W: 4 | L: 5 GF: 23 | GA: 22 | PP%: 18.52% | PK%: 87.18% GM : Richard Ngo | Morale : 65 | Team Overall : 80 Next Games #66 vs CANADIENS |
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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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sidney Crosby | X | 99.00 | 73 | 51 | 70 | 97 | 88 | 97 | 97 | 94 | 80 | 89 | 75 | 80 | 89 | 99 | 99 | 0 | 54 | 84 | 0 | 36 | 4 | 9,000,000$ | ||||
2 | Elias Pettersson | X | X | 99.00 | 73 | 45 | 92 | 95 | 76 | 91 | 85 | 95 | 69 | 91 | 84 | 86 | 94 | 90 | 90 | 0 | 73 | 84 | 0 | 25 | 2 | 7,350,000$ | |||
3 | Brandon Hagel | X | X | 100.00 | 73 | 51 | 70 | 95 | 79 | 88 | 83 | 89 | 50 | 81 | 85 | 87 | 90 | 77 | 77 | 0 | 72 | 81 | 0 | 25 | 1 | 700,000$ | |||
4 | Reilly Smith | X | 100.00 | 72 | 45 | 90 | 86 | 79 | 87 | 92 | 87 | 45 | 79 | 82 | 80 | 85 | 90 | 90 | 0 | 78 | 80 | 0 | 33 | 1 | 5,000,000$ | ||||
5 | Trevor Zegras | X | 100.00 | 69 | 53 | 95 | 98 | 79 | 90 | 85 | 98 | 67 | 83 | 80 | 65 | 98 | 76 | 76 | 0 | 79 | 80 | 0 | 23 | 2 | 1,050,000$ | ||||
6 | Jason Zucker | X | 100.00 | 83 | 55 | 71 | 82 | 75 | 86 | 92 | 88 | 50 | 77 | 83 | 70 | 84 | 88 | 88 | 0 | 78 | 78 | 0 | 32 | 1 | 6,000,000$ | ||||
7 | Erik Haula | X | X | 100.00 | 76 | 55 | 71 | 86 | 75 | 87 | 90 | 85 | 82 | 79 | 74 | 78 | 82 | 85 | 85 | 0 | 78 | 78 | 0 | 33 | 2 | 5,000,000$ | |||
8 | Nick Bjugstad | X | X | 100.00 | 80 | 50 | 75 | 75 | 85 | 88 | 91 | 83 | 72 | 72 | 76 | 79 | 78 | 85 | 85 | 0 | 78 | 77 | 0 | 31 | 4 | 5,250,000$ | |||
9 | Ryan O'Reilly | X | 100.00 | 63 | 45 | 83 | 78 | 85 | 88 | 89 | 81 | 85 | 74 | 76 | 72 | 77 | 99 | 99 | 0 | 79 | 77 | 0 | 33 | 2 | 7,500,000$ | ||||
10 | Evander Kane | X | X | 100.00 | 91 | 56 | 57 | 84 | 85 | 89 | 84 | 83 | 50 | 72 | 76 | 68 | 78 | 88 | 88 | 0 | 79 | 76 | 0 | 32 | 2 | 7,000,000$ | |||
11 | Mason McTavish | X | 100.00 | 82 | 50 | 82 | 82 | 87 | 88 | 84 | 85 | 70 | 78 | 76 | 70 | 81 | 75 | 75 | 0 | 75 | 76 | 0 | 21 | 2 | 1,050,000$ | ||||
12 | Adam Fox | X | 99.00 | 70 | 50 | 75 | 97 | 87 | 92 | 83 | 91 | 40 | 93 | 87 | 91 | 88 | 80 | 80 | 0 | 62 | 84 | 0 | 26 | 1 | 1,050,000$ | ||||
13 | Brenden Dillon | X | 100.00 | 77 | 78 | 65 | 74 | 87 | 89 | 92 | 77 | 40 | 77 | 63 | 86 | 71 | 87 | 87 | 0 | 76 | 78 | 0 | 33 | 2 | 3,900,000$ | ||||
14 | Owen Power (R) | X | 100.00 | 74 | 45 | 82 | 88 | 92 | 98 | 84 | 84 | 40 | 80 | 66 | 75 | 75 | 73 | 73 | 0 | 79 | 78 | 0 | 21 | 3 | 1,050,000$ | ||||
15 | Ryan McDonagh | X | 100.00 | 72 | 45 | 84 | 75 | 82 | 89 | 93 | 77 | 40 | 76 | 63 | 77 | 72 | 95 | 95 | 0 | 75 | 77 | 0 | 34 | 1 | 6,750,000$ | ||||
16 | Jack Johnson | X | 100.00 | 73 | 50 | 78 | 73 | 84 | 87 | 93 | 75 | 40 | 66 | 63 | 82 | 70 | 95 | 95 | 0 | 79 | 77 | 0 | 37 | 2 | 6,000,000$ | ||||
17 | John Marino | X | 100.00 | 69 | 45 | 83 | 88 | 76 | 89 | 81 | 76 | 40 | 74 | 66 | 86 | 77 | 77 | 77 | 0 | 78 | 77 | 0 | 26 | 1 | 950,000$ | ||||
18 | Martin Fehervary | X | 100.00 | 77 | 55 | 72 | 80 | 84 | 88 | 81 | 77 | 40 | 70 | 80 | 78 | 75 | 75 | 75 | 0 | 37 | 75 | 0 | 24 | 2 | 2,500,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Mattias Samuelsson | X | 100.00 | 75 | 45 | 83 | 75 | 93 | 92 | 78 | 74 | 40 | 68 | 63 | 79 | 71 | 75 | 75 | 0 | 23 | 75 | 0 | 24 | 1 | 800,000$ | ||||
2 | Niko Mikkola | X | 100.00 | 76 | 61 | 68 | 74 | 84 | 87 | 83 | 74 | 40 | 68 | 62 | 81 | 69 | 76 | 76 | 0 | 48 | 74 | 0 | 28 | 1 | 1,000,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Mason Marchment | X | 100.00 | 77 | 63 | 60 | 73 | 84 | 86 | 81 | 83 | 50 | 78 | 74 | 69 | 76 | 78 | 78 | 0 | 81 | 74 | 0 | 28 | 1 | 600,000$ | ||||
2 | Steven Lorentz | X | X | 100.00 | 82 | 45 | 89 | 75 | 83 | 83 | 80 | 79 | 72 | 72 | 71 | 75 | 74 | 80 | 80 | 0 | 52 | 74 | 0 | 28 | 1 | 700,000$ | |||
3 | J.J. Peterka | X | X | 100.00 | 66 | 50 | 80 | 79 | 81 | 84 | 78 | 82 | 45 | 79 | 74 | 66 | 77 | 75 | 75 | 0 | 67 | 74 | 0 | 22 | 2 | 950,000$ | |||
4 | Brandon Duhaime (R) | X | 100.00 | 84 | 75 | 65 | 75 | 83 | 81 | 73 | 73 | 50 | 61 | 68 | 69 | 73 | 78 | 78 | 0 | 53 | 70 | 0 | 26 | 3 | 700,000$ | ||||
5 | David Gustafsson | X | 100.00 | 69 | 40 | 88 | 75 | 89 | 81 | 78 | 70 | 74 | 68 | 61 | 71 | 68 | 74 | 74 | 0 | 62 | 70 | 0 | 24 | 4 | 1,000,000$ | ||||
6 | Wade Allison | X | 100.00 | 85 | 60 | 70 | 75 | 84 | 83 | 78 | 76 | 40 | 67 | 70 | 70 | 73 | 61 | 54 | 0 | 62 | 70 | 0 | 26 | 1 | 800,000$ | ||||
7 | Jansen Harkins | X | 100.00 | 66 | 45 | 79 | 73 | 82 | 81 | 73 | 67 | 40 | 62 | 62 | 64 | 68 | 78 | 78 | 0 | 46 | 67 | 0 | 26 | 1 | 900,000$ | ||||
8 | Justin Danforth (R) | X | 100.00 | 65 | 40 | 76 | 79 | 79 | 84 | 63 | 69 | 50 | 60 | 62 | 61 | 67 | 82 | 82 | 0 | 32 | 67 | 0 | 31 | 3 | 600,000$ | ||||
9 | Artem Anisimov | X | 100.00 | 53 | 40 | 75 | 70 | 63 | 71 | 71 | 62 | 70 | 60 | 60 | 54 | 62 | 96 | 96 | 0 | 51 | 64 | 0 | 35 | 1 | 800,000$ | ||||
10 | Joe Snively (R) | X | 100.00 | 55 | 40 | 72 | 75 | 76 | 74 | 68 | 60 | 42 | 61 | 55 | 60 | 61 | 78 | 78 | 0 | 44 | 63 | 0 | 28 | 3 | 700,000$ | ||||
11 | Henrik Borgstrom | X | 100.00 | 59 | 40 | 75 | 75 | 75 | 65 | 65 | 69 | 42 | 57 | 53 | 53 | 60 | 76 | 76 | 0 | 44 | 62 | 0 | 26 | 1 | 800,000$ | ||||
12 | John Quenneville | X | 100.00 | 55 | 40 | 82 | 70 | 75 | 75 | 63 | 57 | 41 | 55 | 51 | 51 | 57 | 78 | 78 | 0 | 46 | 60 | 0 | 28 | 1 | 800,000$ | ||||
13 | Beck Malenstyn | X | 100.00 | 61 | 45 | 71 | 61 | 66 | 61 | 61 | 58 | 40 | 50 | 52 | 55 | 58 | 54 | 51 | 0 | 49 | 56 | 0 | 26 | 1 | 900,000$ | ||||
14 | Vincent Desharnais (R) | X | 100.00 | 75 | 55 | 61 | 71 | 87 | 82 | 75 | 72 | 40 | 68 | 62 | 80 | 66 | 78 | 78 | 0 | 54 | 73 | 0 | 27 | 3 | 800,000$ | ||||
15 | Declan Chisholm (R) | X | 100.00 | 66 | 45 | 72 | 76 | 81 | 75 | 63 | 66 | 40 | 66 | 55 | 66 | 64 | 76 | 76 | 0 | 51 | 68 | 0 | 24 | 3 | 600,000$ | ||||
16 | Markus Niemelainen | X | 100.00 | 75 | 40 | 82 | 73 | 83 | 79 | 68 | 67 | 40 | 59 | 60 | 67 | 67 | 59 | 51 | 0 | 50 | 67 | 0 | 25 | 2 | 700,000$ | ||||
17 | Kevin Bahl | X | 100.00 | 72 | 55 | 66 | 73 | 95 | 83 | 75 | 70 | 40 | 67 | 63 | 73 | 68 | 61 | 54 | 0 | 51 | 70 | 0 | 23 | 1 | 800,000$ | ||||
18 | Jordan Spence (R) | X | 100.00 | 53 | 40 | 68 | 80 | 78 | 78 | 62 | 77 | 40 | 66 | 55 | 65 | 64 | 75 | 75 | 0 | 19 | 67 | 0 | 23 | 3 | 800,000$ | ||||
19 | William Lagesson | X | 100.00 | 65 | 40 | 65 | 70 | 66 | 66 | 67 | 65 | 40 | 61 | 60 | 69 | 65 | 78 | 78 | 0 | 19 | 66 | 0 | 28 | 2 | 700,000$ | ||||
TEAM AVERAGE | 99.92 | 71 | 49 | 75 | 79 | 81 | 84 | 79 | 77 | 51 | 71 | 68 | 72 | 74 | 79 | 79 | 0 | 59 | 73 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ilya Sorokin | 99.00 | 97 | 87 | 95 | 92 | 95 | 98 | 97 | 98 | 95 | 95 | 88 | 80 | 80 | 0 | 79 | 91 | 0 | 28 | 2 | 950,000$ | |
2 | Igor Shesterkin | 100.00 | 97 | 89 | 91 | 84 | 94 | 97 | 97 | 98 | 97 | 97 | 82 | 80 | 80 | 0 | 79 | 90 | 0 | 28 | 1 | 1,050,000$ | |
Scratches | |||||||||||||||||||||||
1 | Semyon Varlamov | 100.00 | 85 | 86 | 85 | 88 | 91 | 88 | 88 | 89 | 92 | 85 | 80 | 95 | 95 | 0 | 26 | 86 | 0 | 36 | 1 | 3,600,000$ | |
Farm Team | |||||||||||||||||||||||
1 | Olle Eriksson Ek (R) | 100.00 | 77 | 71 | 71 | 66 | 65 | 71 | 73 | 68 | 62 | 64 | 54 | 76 | 76 | 0 | 69 | 68 | 0 | 24 | 3 | 600,000$ | |
TEAM AVERAGE | 99.75 | 89 | 83 | 86 | 83 | 86 | 89 | 89 | 88 | 87 | 85 | 76 | 83 | 83 | 0 | 63 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 81 | 85 | 89 | 82 | 83 | 78 | 1 | CAN | 55 | 3 | 3,000,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sidney Crosby | PENGUINS | C | 9 | 3 | 6 | 9 | 0 | 15 | 5 | 8 | 8 | 33 | 13 | 17 | 9.09% | 5 | 235 | 26.18 | 2 | 1 | 3 | 4 | 22 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 44.96% | 347 | 10 | 3 | 0 | 0 | 0.76 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 |
2 | Elias Pettersson | PENGUINS | C/LW | 9 | 3 | 5 | 8 | 0 | 0 | 0 | 10 | 13 | 54 | 12 | 20 | 5.56% | 8 | 244 | 27.19 | 0 | 3 | 3 | 3 | 22 | 0 | 0 | 0 | 2 | 40 | 0 | 0 | 44.00% | 25 | 9 | 6 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
3 | Ryan O'Reilly | PENGUINS | C | 9 | 5 | 2 | 7 | 4 | 0 | 0 | 5 | 15 | 17 | 3 | 8 | 29.41% | 6 | 128 | 14.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 16 | 0 | 1 | 58.14% | 86 | 1 | 0 | 0 | 0 | 1.09 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
4 | Adam Fox | PENGUINS | D | 9 | 2 | 4 | 6 | -1 | 15 | 5 | 5 | 13 | 24 | 11 | 13 | 8.33% | 17 | 265 | 29.51 | 0 | 0 | 0 | 1 | 25 | 0 | 0 | 0 | 1 | 35 | 1 | 0 | 0% | 0 | 2 | 10 | 0 | 0 | 0.45 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
5 | Brandon Hagel | PENGUINS | LW/RW | 9 | 3 | 3 | 6 | -2 | 16 | 10 | 10 | 6 | 26 | 7 | 13 | 11.54% | 5 | 187 | 20.84 | 2 | 0 | 2 | 3 | 23 | 0 | 0 | 0 | 1 | 22 | 0 | 0 | 43.75% | 16 | 8 | 8 | 0 | 0 | 0.64 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 |
6 | Jason Zucker | PENGUINS | LW | 9 | 2 | 4 | 6 | 4 | 4 | 0 | 19 | 2 | 28 | 7 | 18 | 7.14% | 2 | 115 | 12.85 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0% | 1 | 5 | 1 | 0 | 0 | 1.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7 | Evander Kane | PENGUINS | LW/RW | 9 | 1 | 3 | 4 | 4 | 14 | 0 | 12 | 7 | 19 | 3 | 12 | 5.26% | 5 | 110 | 12.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0% | 4 | 4 | 2 | 0 | 0 | 0.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Reilly Smith | PENGUINS | RW | 9 | 1 | 2 | 3 | -3 | 7 | 5 | 20 | 10 | 23 | 9 | 13 | 4.35% | 4 | 177 | 19.74 | 0 | 1 | 1 | 1 | 20 | 0 | 0 | 0 | 3 | 15 | 1 | 0 | 33.33% | 6 | 2 | 6 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
9 | John Marino | PENGUINS | D | 9 | 0 | 3 | 3 | 1 | 7 | 5 | 7 | 12 | 11 | 2 | 4 | 0% | 4 | 181 | 20.12 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 1 | 26 | 0 | 0 | 0% | 0 | 1 | 8 | 0 | 0 | 0.33 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
10 | Trevor Zegras | PENGUINS | C | 9 | 2 | 1 | 3 | -3 | 22 | 10 | 17 | 14 | 30 | 11 | 11 | 6.67% | 3 | 158 | 17.58 | 1 | 0 | 1 | 2 | 20 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 40.98% | 122 | 8 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 |
11 | Jack Johnson | PENGUINS | D | 9 | 1 | 1 | 2 | 1 | 2 | 0 | 0 | 11 | 8 | 1 | 3 | 12.50% | 6 | 102 | 11.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 4 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Erik Haula | PENGUINS | C/LW | 9 | 0 | 2 | 2 | -3 | 12 | 0 | 12 | 11 | 13 | 7 | 8 | 0% | 1 | 165 | 18.35 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 8 | 3 | 1 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Brenden Dillon | PENGUINS | D | 9 | 0 | 1 | 1 | 1 | 14 | 10 | 11 | 8 | 2 | 3 | 0 | 0% | 10 | 178 | 19.86 | 0 | 1 | 1 | 0 | 18 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0% | 0 | 1 | 5 | 0 | 0 | 0.11 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 |
14 | Nick Bjugstad | PENGUINS | C/RW | 9 | 0 | 1 | 1 | 2 | 2 | 0 | 5 | 9 | 1 | 0 | 2 | 0% | 1 | 46 | 5.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 37.50% | 32 | 0 | 1 | 0 | 0 | 0.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Owen Power | PENGUINS | D | 9 | 0 | 1 | 1 | 0 | 5 | 5 | 14 | 12 | 6 | 4 | 8 | 0% | 17 | 243 | 27.07 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0% | 0 | 1 | 14 | 0 | 0 | 0.08 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
16 | Ryan McDonagh | PENGUINS | D | 9 | 0 | 0 | 0 | 1 | 11 | 5 | 2 | 9 | 3 | 0 | 1 | 0% | 5 | 102 | 11.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0% | 0 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
17 | Martin Fehervary | PENGUINS | D | 9 | 0 | 0 | 0 | -1 | 2 | 0 | 2 | 4 | 1 | 2 | 0 | 0% | 1 | 34 | 3.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Mason McTavish | PENGUINS | C | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0% | 0 | 14 | 1.65 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 162 | 23 | 39 | 62 | 5 | 148 | 60 | 162 | 165 | 299 | 95 | 151 | 7.69% | 100 | 2693 | 16.63 | 5 | 6 | 11 | 14 | 223 | 0 | 0 | 0 | 10 | 273 | 4 | 1 | 45.16% | 651 | 58 | 73 | 0 | 0 | 0.46 | 0 | 0 | 3 | 4 | 5 | 2 | 4 | 2 |
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 Sorokin | PENGUINS | 9 | 4 | 4 | 1 | 0.933 | 2.39 | 552 | 0 | 0 | 22 | 327 | 118 | 0 | 0 | 0 | 0 | 9 | 0 | 1 | 1 | 1 |
Team Total or Average | 9 | 4 | 4 | 1 | 0.933 | 2.39 | 552 | 0 | 0 | 22 | 327 | 118 | 0 | 0 | 0 | 9 | 0 | 1 | 1 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | PENGUINS | D | 26 | 2/17/1998 | No | 182 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,050,000$ | 1,050,000$ | 375,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Brandon Hagel | PENGUINS | LW/RW | 25 | 8/27/1998 | No | 179 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 700,000$ | 250,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Brenden Dillon | PENGUINS | D | 33 | 11/13/1990 | No | 224 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,900,000$ | 3,900,000$ | 1,392,857$ | No | 3,900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Elias Pettersson | PENGUINS | C/LW | 25 | 11/12/1998 | No | 176 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 7,350,000$ | 7,350,000$ | 2,625,000$ | No | 7,350,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Erik Haula | PENGUINS | C/LW | 33 | 3/23/1991 | No | 191 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,000,000$ | 5,000,000$ | 1,785,714$ | No | 5,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Evander Kane | PENGUINS | LW/RW | 32 | 8/2/1991 | No | 210 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 7,000,000$ | 7,000,000$ | 2,500,000$ | No | 7,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Igor Shesterkin | PENGUINS | G | 28 | 12/30/1995 | No | 189 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,050,000$ | 1,050,000$ | 375,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ilya Sorokin | PENGUINS | G | 28 | 8/4/1995 | No | 195 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 950,000$ | 950,000$ | 339,286$ | No | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jack Johnson | PENGUINS | D | 37 | 1/13/1987 | No | 227 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro Only | 6,000,000$ | 6,000,000$ | 2,142,857$ | No | 6,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jason Zucker | PENGUINS | LW | 32 | 1/16/1992 | No | 192 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 6,000,000$ | 6,000,000$ | 2,142,857$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
John Marino | PENGUINS | D | 26 | 5/21/1997 | No | 181 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 950,000$ | 339,286$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Martin Fehervary | PENGUINS | D | 24 | 10/6/1999 | No | 199 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,500,000$ | 2,500,000$ | 892,857$ | No | 2,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Mason McTavish | PENGUINS | C | 21 | 1/30/2003 | No | 213 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,050,000$ | 1,050,000$ | 375,000$ | No | 1,050,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Mattias Samuelsson | PENGUINS | D | 24 | 3/14/2000 | No | 231 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 800,000$ | 285,714$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Nick Bjugstad | PENGUINS | C/RW | 31 | 7/17/1992 | No | 209 Lbs | 6 ft6 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 5,250,000$ | 5,250,000$ | 1,875,000$ | No | 5,250,000$ | 5,250,000$ | 5,250,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Niko Mikkola | PENGUINS | D | 28 | 4/27/1996 | No | 209 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 357,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Owen Power | PENGUINS | D | 21 | 11/22/2002 | Yes | 218 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,050,000$ | 1,050,000$ | 375,000$ | No | 1,050,000$ | 1,050,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Reilly Smith | PENGUINS | RW | 33 | 4/1/1991 | No | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 5,000,000$ | 5,000,000$ | 1,785,714$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ryan McDonagh | PENGUINS | D | 34 | 6/13/1989 | No | 215 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 6,750,000$ | 6,750,000$ | 2,410,714$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ryan O'Reilly | PENGUINS | C | 33 | 2/7/1991 | No | 207 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 7,500,000$ | 7,500,000$ | 2,678,571$ | No | 7,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Semyon Varlamov | PENGUINS | G | 36 | 4/27/1988 | No | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,600,000$ | 3,600,000$ | 1,285,714$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Sidney Crosby | PENGUINS | C | 36 | 8/7/1987 | No | 200 Lbs | 5 ft11 | No | No | Trade | 12/19/2023 | No | No | 4 | False | False | Pro & Farm | 9,000,000$ | 9,000,000$ | 3,214,286$ | No | 9,000,000$ | 9,000,000$ | 9,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Trevor Zegras | PENGUINS | C | 23 | 3/20/2001 | No | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,050,000$ | 1,050,000$ | 375,000$ | No | 1,050,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
23 | 29.09 | 201 Lbs | 6 ft2 | 1.78 | 3,673,913$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
84,500,000$ | 57,600,000$ | 15,300,000$ | 14,250,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Elias Pettersson | Sidney Crosby | Brandon Hagel | 40 | 1 | 2 | 2 |
2 | Erik Haula | Trevor Zegras | Reilly Smith | 30 | 1 | 2 | 2 |
3 | Jason Zucker | Ryan O'Reilly | Evander Kane | 20 | 1 | 2 | 2 |
4 | Sidney Crosby | Nick Bjugstad | Elias Pettersson | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Adam Fox | Owen Power | 40 | 1 | 2 | 2 | |
2 | Brenden Dillon | John Marino | 30 | 1 | 2 | 2 | |
3 | Jack Johnson | Ryan McDonagh | 20 | 1 | 2 | 2 | |
4 | Martin Fehervary | Adam Fox | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Elias Pettersson | Sidney Crosby | Brandon Hagel | 60 | 1 | 2 | 2 |
2 | Erik Haula | Trevor Zegras | Reilly Smith | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Adam Fox | Owen Power | 60 | 1 | 2 | 2 | |
2 | Brenden Dillon | John Marino | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Sidney Crosby | Elias Pettersson | 60 | 1 | 2 | 2 |
2 | Brandon Hagel | Reilly Smith | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Adam Fox | Owen Power | 60 | 1 | 2 | 2 |
2 | Brenden Dillon | John Marino | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Sidney Crosby | 60 | 1 | 2 | 2 | Adam Fox | Owen Power | 60 | 1 | 2 | 2 |
2 | Elias Pettersson | 40 | 1 | 2 | 2 | Brenden Dillon | John Marino | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Sidney Crosby | Elias Pettersson | 60 | 1 | 2 | 2 |
2 | Brandon Hagel | Reilly Smith | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Adam Fox | Owen Power | 60 | 1 | 2 | 2 |
2 | Brenden Dillon | John Marino | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Elias Pettersson | Sidney Crosby | Brandon Hagel | Adam Fox | Owen Power |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Elias Pettersson | Sidney Crosby | Brandon Hagel | Adam Fox | Owen Power |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Mason McTavish, Jason Zucker, Ryan O'Reilly | Mason McTavish, Jason Zucker | Ryan O'Reilly |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jack Johnson, Ryan McDonagh, Martin Fehervary | Jack Johnson | Ryan McDonagh, Martin Fehervary |
Penalty Shots |
---|
Sidney Crosby, Elias Pettersson, Brandon Hagel, Reilly Smith, Trevor Zegras |
Goalie |
---|
#1 : Ilya Sorokin, #2 : Igor Shesterkin |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
1 | CANADIENS | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 60 | 19 | 16 | 25 | 0 | 72 | 23 | 21 | 37 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 109 | 238 | 45.80% | 129 | 286 | 45.10% | 56 | 127 | 44.09% | 40 | 22 | 43 | 18 | 35 | 17 |
2 | MAPLE LEAFS | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 20 | 16 | 4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 8 | 0.571 | 20 | 34 | 54 | 0 | 0 | 4 | 8 | 7 | 1 | 239 | 66 | 86 | 72 | 15 | 255 | 77 | 127 | 125 | 20 | 4 | 20.00% | 31 | 3 | 90.32% | 0 | 109 | 238 | 45.80% | 129 | 286 | 45.10% | 56 | 127 | 44.09% | 150 | 86 | 160 | 63 | 121 | 60 |
Total | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 23 | 22 | 1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 16 | -1 | 8 | 0.444 | 23 | 39 | 62 | 0 | 0 | 4 | 8 | 10 | 1 | 299 | 85 | 102 | 97 | 15 | 327 | 100 | 148 | 162 | 27 | 5 | 18.52% | 39 | 5 | 87.18% | 0 | 109 | 238 | 45.80% | 129 | 286 | 45.10% | 56 | 127 | 44.09% | 191 | 109 | 204 | 81 | 156 | 77 | |
_Since Last GM Reset | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 23 | 22 | 1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 16 | -1 | 8 | 0.444 | 23 | 39 | 62 | 0 | 0 | 4 | 8 | 10 | 1 | 299 | 85 | 102 | 97 | 15 | 327 | 100 | 148 | 162 | 27 | 5 | 18.52% | 39 | 5 | 87.18% | 0 | 109 | 238 | 45.80% | 129 | 286 | 45.10% | 56 | 127 | 44.09% | 191 | 109 | 204 | 81 | 156 | 77 | |
_Vs Conference | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 23 | 22 | 1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 16 | -1 | 8 | 0.444 | 23 | 39 | 62 | 0 | 0 | 4 | 8 | 10 | 1 | 299 | 85 | 102 | 97 | 15 | 327 | 100 | 148 | 162 | 27 | 5 | 18.52% | 39 | 5 | 87.18% | 0 | 109 | 238 | 45.80% | 129 | 286 | 45.10% | 56 | 127 | 44.09% | 191 | 109 | 204 | 81 | 156 | 77 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
9 | 8 | L2 | 23 | 39 | 62 | 299 | 327 | 100 | 148 | 162 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
9 | 4 | 5 | 0 | 0 | 0 | 0 | 23 | 22 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 1 | 2 | 0 | 0 | 0 | 0 | 8 | 6 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
6 | 3 | 3 | 0 | 0 | 0 | 0 | 15 | 16 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 4 | 1 | 1 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
27 | 5 | 18.52% | 39 | 5 | 87.18% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
85 | 102 | 97 | 15 | 4 | 8 | 10 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
109 | 238 | 45.80% | 129 | 286 | 45.10% | 56 | 127 | 44.09% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
191 | 109 | 204 | 81 | 156 | 77 |
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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | PENGUINS | 4 | MAPLE LEAFS | 3 | W | BoxScore | |||
2 | 10 | PENGUINS | 5 | MAPLE LEAFS | 1 | W | BoxScore | |||
3 | 18 | MAPLE LEAFS | 1 | PENGUINS | 5 | W | BoxScore | |||
4 | 26 | MAPLE LEAFS | 3 | PENGUINS | 2 | L | X | BoxScore | ||
5 | 34 | PENGUINS | 1 | MAPLE LEAFS | 5 | L | BoxScore | |||
6 | 42 | MAPLE LEAFS | 2 | PENGUINS | 1 | L | BoxScore | |||
7 | 50 | PENGUINS | 2 | MAPLE LEAFS | 1 | W | X | BoxScore | ||
8 | 58 | PENGUINS | 2 | CANADIENS | 3 | L | BoxScore | |||
9 | 62 | PENGUINS | 1 | CANADIENS | 3 | L | BoxScore | |||
10 | 66 | CANADIENS | - | PENGUINS | - | |||||
11 | 70 | CANADIENS | - | PENGUINS | - | |||||
12 | 74 | PENGUINS | - | CANADIENS | - | |||||
13 | 78 | CANADIENS | - | PENGUINS | - | |||||
14 | 82 | PENGUINS | - | CANADIENS | - |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6200 | 5200 | 2200 | 4200 | 1200 |
Ticket Price | 100 | 60 | 35 | 25 | 200 |
Attendance | 18,600 | 15,600 | 6,600 | 12,600 | 3,600 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
38 | 19000 - 100.00% | 1,963,300$ | 5,889,900$ | 19000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Coaches Salaries | Special Salary Cap Value | |
0$ | 84,500,000$ | 51,566,667$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 23 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 5 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 97,795,494$ | 97,795,494$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 99,500,000$ | 99,500,000$ | -28,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
---|---|---|---|---|---|---|
Adam Huska EURO | PENGUINS | 2023 | 0 | |||
Alexandre Texier EURO | PENGUINS | 2023 | 0 | |||
Henry Thrun | PENGUINS | 2023 | 0 | |||
Jakub Lauko | PENGUINS | 2023 | 0 | |||
Juuso Pärssinen | PENGUINS | 2023 | 0 | |||
Nils Aman | PENGUINS | 2023 | 0 | |||
Sami Niku EURO | PENGUINS | 2023 | 0 | |||
Sammy Walker | PENGUINS | 2023 | 0 | |||
Samuel Knazko | PENGUINS | 2023 | 0 | |||
Spencer Stastney | PENGUINS | 2023 | 0 | |||
Tarmo Reunanen EURO | PENGUINS | 2023 | 0 | |||
Tim Berni | PENGUINS | 2023 | 0 |
Year | R1 | R2 | R3 | R4 | R5 |
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2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 | |||||
Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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