![]() | Flyers |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Yoan Duschesneau | Morale : 40 | Team Overall : 70 |
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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 | Connor McDavid (C) | X | 100.00 | 65 | 38 | 85 | 93 | 76 | 91 | 89 | 92 | 84 | 95 | 90 | 67 | 93 | 68 | 86 | 88 | 40 | 81 | 0 | 26 | 4 | 12,500,000$ | ||||
2 | Gabriel Landeskog | X | 100.00 | 76 | 74 | 71 | 75 | 80 | 91 | 86 | 77 | 72 | 83 | 85 | 68 | 76 | 78 | 92 | 73 | 40 | 75 | 0 | 30 | 7 | 7,000,000$ | ||||
3 | Yanni Gourde | X | 100.00 | 65 | 58 | 78 | 76 | 64 | 88 | 90 | 75 | 83 | 76 | 74 | 79 | 76 | 73 | 80 | 34 | 40 | 73 | 0 | 31 | 3 | 5,166,666$ | ||||
4 | Jonathan Marchessault | X | 100.00 | 62 | 36 | 82 | 79 | 66 | 88 | 90 | 76 | 69 | 78 | 80 | 63 | 81 | 75 | 76 | 27 | 40 | 72 | 0 | 32 | 2 | 5,000,000$ | ||||
5 | Michael Bunting | X | 100.00 | 67 | 34 | 71 | 75 | 72 | 86 | 84 | 77 | 56 | 78 | 76 | 64 | 75 | 67 | 69 | 52 | 40 | 71 | 0 | 27 | 1 | 950,000$ | ||||
6 | Dominik Kubalik | X | 100.00 | 67 | 35 | 92 | 72 | 76 | 85 | 90 | 73 | 58 | 71 | 74 | 64 | 73 | 68 | 70 | 42 | 40 | 69 | 0 | 27 | 2 | 2,500,000$ | ||||
7 | Trevor Lewis | X | 100.00 | 77 | 36 | 82 | 66 | 78 | 79 | 83 | 65 | 76 | 64 | 63 | 79 | 62 | 84 | 76 | 43 | 40 | 68 | 0 | 36 | 1 | 800,000$ | ||||
8 | Alex Barre-Boulet | X | 100.00 | 58 | 36 | 93 | 68 | 70 | 85 | 86 | 65 | 74 | 66 | 67 | 60 | 68 | 65 | 67 | 52 | 40 | 65 | 0 | 26 | 2 | 758,333$ | ||||
9 | Justin Danforth | X | 100.00 | 66 | 35 | 86 | 67 | 64 | 81 | 82 | 65 | 71 | 63 | 68 | 66 | 63 | 69 | 70 | 36 | 40 | 65 | 0 | 30 | 2 | 975,000$ | ||||
10 | Alex Nylander | X | 100.00 | 60 | 37 | 94 | 66 | 76 | 87 | 95 | 65 | 62 | 61 | 63 | 58 | 67 | 64 | 66 | 85 | 40 | 64 | 0 | 25 | 1 | 750,000$ | ||||
11 | Ryan Reaves | X | 100.00 | 90 | 89 | 78 | 61 | 85 | 76 | 87 | 62 | 58 | 63 | 62 | 57 | 56 | 83 | 75 | 25 | 40 | 64 | 0 | 36 | 1 | 1,750,000$ | ||||
12 | Jared Spurgeon | X | 100.00 | 62 | 33 | 88 | 75 | 63 | 94 | 93 | 74 | 30 | 80 | 71 | 81 | 58 | 82 | 89 | 29 | 40 | 74 | 0 | 33 | 5 | 7,575,000$ | ||||
13 | Justin Braun | X | 100.00 | 72 | 36 | 86 | 61 | 82 | 87 | 85 | 58 | 30 | 70 | 59 | 84 | 50 | 83 | 75 | 25 | 40 | 71 | 0 | 36 | 1 | 1,000,000$ | ||||
14 | Samuel Girard | X | 100.00 | 62 | 33 | 88 | 77 | 64 | 93 | 88 | 69 | 30 | 81 | 65 | 71 | 56 | 66 | 69 | 70 | 40 | 70 | 0 | 25 | 5 | 5,000,000$ | ||||
15 | Torey Krug | X | 100.00 | 63 | 37 | 80 | 74 | 68 | 92 | 88 | 75 | 30 | 85 | 66 | 62 | 56 | 77 | 72 | 34 | 40 | 70 | 0 | 32 | 5 | 6,500,000$ | ||||
16 | Vince Dunn | X | 100.00 | 64 | 59 | 78 | 77 | 75 | 91 | 89 | 73 | 30 | 78 | 69 | 65 | 57 | 68 | 69 | 67 | 40 | 70 | 0 | 26 | 1 | 4,000,000$ | ||||
17 | Conor Timmins | X | 100.00 | 58 | 35 | 93 | 75 | 79 | 82 | 80 | 71 | 30 | 68 | 63 | 66 | 52 | 65 | 63 | 77 | 40 | 67 | 0 | 24 | 1 | 850,000$ | ||||
18 | Nicolas Beaudin | X | 100.00 | 59 | 38 | 91 | 69 | 66 | 79 | 86 | 66 | 30 | 67 | 65 | 62 | 55 | 63 | 65 | 80 | 44 | 65 | 0 | 23 | 1 | 863,333$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Joe Veleno | X | 100.00 | 76 | 38 | 89 | 67 | 79 | 83 | 95 | 66 | 82 | 64 | 65 | 68 | 67 | 62 | 64 | 78 | 40 | 67 | 0 | 23 | 1 | 894,167$ | ||||
2 | Nolan Patrick | X | 100.00 | 64 | 36 | 86 | 67 | 81 | 79 | 76 | 68 | 82 | 65 | 63 | 58 | 73 | 65 | 69 | 88 | 44 | 65 | 0 | 24 | 1 | 1,200,000$ | ||||
3 | Anthony Richard | X | 100.00 | 60 | 38 | 82 | 63 | 65 | 89 | 91 | 63 | 57 | 61 | 62 | 56 | 63 | 66 | 68 | 59 | 57 | 63 | 0 | 26 | 1 | 750,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Noel Gunler | X | 100.00 | 65 | 37 | 93 | 66 | 76 | 83 | 68 | 64 | 53 | 59 | 63 | 56 | 64 | 61 | 63 | 79 | 41 | 62 | 0 | 21 | 3 | 862,500$ | ||||
2 | Jimmy Huntington | X | 100.00 | 66 | 39 | 82 | 60 | 75 | 72 | 87 | 59 | 68 | 61 | 58 | 60 | 59 | 64 | 66 | 43 | 62 | 61 | 0 | 24 | 1 | 750,000$ | ||||
3 | P.K. Subban | X | 100.00 | 63 | 39 | 74 | 70 | 76 | 83 | 87 | 71 | 30 | 75 | 64 | 71 | 55 | 83 | 74 | 55 | 61 | 70 | 0 | 34 | 1 | 700,000$ | ||||
4 | Louie Belpedio | X | 100.00 | 73 | 34 | 88 | 61 | 72 | 82 | 84 | 59 | 30 | 58 | 57 | 65 | 50 | 66 | 67 | 58 | 62 | 65 | 0 | 27 | 1 | 750,000$ | ||||
5 | Jared McIsaac | X | 100.00 | 67 | 39 | 85 | 63 | 77 | 71 | 86 | 62 | 30 | 61 | 56 | 59 | 45 | 62 | 64 | 76 | 60 | 63 | 0 | 23 | 1 | 764,167$ | ||||
TEAM AVERAGE | 100.00 | 66 | 42 | 84 | 70 | 73 | 85 | 86 | 69 | 54 | 70 | 67 | 66 | 63 | 70 | 72 | 57 | 44 | 68 |
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 | Connor Hellebuyck | 100.00 | 94 | 95 | 90 | 88 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 77 | 83 | 56 | 40 | 89 | 0 | 30 | 2 | 6,166,666$ | |
2 | Carey Price | 100.00 | 82 | 72 | 71 | 87 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 90 | 89 | 50 | 40 | 80 | 0 | 35 | 4 | 10,500,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Ukko-Pekka Luukkonen | 100.00 | 74 | 83 | 82 | 93 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 63 | 69 | 70 | 63 | 74 | 0 | 24 | 1 | 700,000$ | |
2 | Mikhail Berdin | 100.00 | 73 | 76 | 77 | 73 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 64 | 71 | 48 | 60 | 70 | 0 | 25 | 1 | 850,000$ | |
3 | Matthew Villalta | 100.00 | 71 | 77 | 78 | 76 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 63 | 69 | 65 | 20 | 69 | 0 | 24 | 1 | 787,500$ | |
TEAM AVERAGE | 100.00 | 79 | 81 | 80 | 83 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 71 | 76 | 58 | 45 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Martin St. Louis | 84 | 76 | 79 | 77 | 71 | 66 | 78 | CAN | 47 | 1 | 100,000$ |
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 |
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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 |
# | 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 |
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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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Waiver Possible | Contract | 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 | Link |
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Alex Barre-Boulet | ![]() | C | 26 | 1997-05-21 | No | 180 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 758,333$ | 0$ | 0$ | No | 758,333$ | Link | ||||||||
Alex Nylander | ![]() | RW | 25 | 1998-03-02 | No | 192 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Anthony Richard | ![]() | LW | 26 | 1996-12-20 | No | 163 Lbs | 5 ft10 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Carey Price | ![]() | G | 35 | 1987-08-16 | No | 217 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 10,500,000$ | 0$ | 0$ | No | 10,500,000$ | 10,500,000$ | 10,500,000$ | Link | ||||||
Connor Hellebuyck | ![]() | G | 30 | 1993-05-19 | No | 207 Lbs | 6 ft4 | No | No | No | No | 2 | Pro & Farm | 6,166,666$ | 0$ | 0$ | No | 6,166,666$ | Link | ||||||||
Connor McDavid | ![]() | C | 26 | 1997-01-13 | No | 193 Lbs | 6 ft1 | No | No | No | No | 4 | Pro & Farm | 12,500,000$ | 0$ | 0$ | No | 12,500,000$ | 12,500,000$ | 12,500,000$ | Link | ||||||
Conor Timmins | ![]() | D | 24 | 1998-09-18 | No | 185 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 850,000$ | 0$ | 0$ | No | Link | |||||||||
Dominik Kubalik | ![]() | LW | 27 | 1995-08-21 | No | 179 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | Link | ||||||||
Gabriel Landeskog | ![]() | LW | 30 | 1992-11-23 | No | 215 Lbs | 6 ft1 | No | No | No | No | 7 | Pro & Farm | 7,000,000$ | 0$ | 0$ | No | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | Link | |||
Jared Spurgeon | ![]() | D | 33 | 1989-11-29 | No | 166 Lbs | 5 ft9 | No | No | No | No | 5 | Pro & Farm | 7,575,000$ | 0$ | 0$ | No | 7,575,000$ | 7,575,000$ | 7,575,000$ | 7,575,000$ | Link | |||||
Joe Veleno | ![]() | C | 23 | 2000-01-13 | No | 206 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 894,167$ | 0$ | 0$ | No | Link | |||||||||
Jonathan Marchessault | ![]() | C | 32 | 1990-12-27 | No | 184 Lbs | 5 ft9 | No | No | No | No | 2 | Pro & Farm | 5,000,000$ | 0$ | 0$ | No | 5,000,000$ | Link | ||||||||
Justin Braun | ![]() | D | 36 | 1987-02-10 | No | 205 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link | |||||||||
Justin Danforth | ![]() | RW | 30 | 1993-03-15 | No | 180 Lbs | 5 ft9 | No | No | No | No | 2 | Pro & Farm | 975,000$ | 0$ | 0$ | No | 975,000$ | Link | ||||||||
Michael Bunting | ![]() | LW | 27 | 1995-09-17 | No | 186 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 950,000$ | 0$ | 0$ | No | Link | |||||||||
Nicolas Beaudin | ![]() | D | 23 | 1999-10-07 | No | 168 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 863,333$ | 0$ | 0$ | No | Link | |||||||||
Nolan Patrick | ![]() | C | 24 | 1998-09-19 | No | 201 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | Link | |||||||||
Ryan Reaves | ![]() | RW | 36 | 1987-01-20 | No | 225 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 1,750,000$ | 0$ | 0$ | No | Link | |||||||||
Samuel Girard | ![]() | D | 25 | 1998-05-12 | No | 170 Lbs | 5 ft10 | No | No | No | No | 5 | Pro & Farm | 5,000,000$ | 0$ | 0$ | No | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | Link | |||||
Torey Krug | ![]() | D | 32 | 1991-04-12 | No | 194 Lbs | 5 ft9 | No | No | No | No | 5 | Pro & Farm | 6,500,000$ | 0$ | 0$ | No | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | Link | |||||
Trevor Lewis | ![]() | C | 36 | 1987-01-08 | No | 202 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 800,000$ | 0$ | 0$ | No | Link | |||||||||
Vince Dunn | ![]() | D | 26 | 1996-10-29 | No | 203 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 4,000,000$ | 0$ | 0$ | No | Link | |||||||||
Yanni Gourde | ![]() | C | 31 | 1991-12-15 | No | 173 Lbs | 5 ft9 | No | No | No | No | 3 | Pro & Farm | 5,166,666$ | 0$ | 0$ | No | 5,166,666$ | 5,166,666$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
23 | 28.83 | 191 Lbs | 6 ft0 | 2.35 | 3,628,225$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
83,449,165$ | 69,641,665$ | 54,241,666$ | 49,075,000$ | 26,075,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Gabriel Landeskog | Connor McDavid | Michael Bunting | 33 | 1 | 1 | 3 |
2 | Dominik Kubalik | Yanni Gourde | Alex Nylander | 33 | 1 | 2 | 2 |
3 | Trevor Lewis | Jonathan Marchessault | Ryan Reaves | 21 | 1 | 2 | 2 |
4 | Justin Danforth | Alex Barre-Boulet | 13 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jared Spurgeon | Justin Braun | 40 | 1 | 2 | 2 | |
2 | Samuel Girard | Torey Krug | 30 | 1 | 2 | 2 | |
3 | Vince Dunn | Justin Braun | 20 | 1 | 2 | 2 | |
4 | Nicolas Beaudin | Jared Spurgeon | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Yanni Gourde | Connor McDavid | 60 | 1 | 2 | 2 | |
2 | Gabriel Landeskog | Jonathan Marchessault | Alex Nylander | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jared Spurgeon | Justin Braun | 60 | 1 | 2 | 2 | |
2 | Samuel Girard | Torey Krug | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Yanni Gourde | Gabriel Landeskog | 60 | 1 | 2 | 2 |
2 | Jonathan Marchessault | Connor McDavid | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jared Spurgeon | Justin Braun | 60 | 1 | 2 | 2 |
2 | Samuel Girard | Torey Krug | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Yanni Gourde | 60 | 1 | 2 | 2 | Jared Spurgeon | Justin Braun | 60 | 1 | 2 | 2 |
2 | Jonathan Marchessault | 40 | 1 | 2 | 2 | Samuel Girard | Torey Krug | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Yanni Gourde | Gabriel Landeskog | 60 | 1 | 2 | 2 |
2 | Jonathan Marchessault | Connor McDavid | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jared Spurgeon | Justin Braun | 60 | 1 | 2 | 2 |
2 | Samuel Girard | Torey Krug | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Connor McDavid | Yanni Gourde | Gabriel Landeskog | Jared Spurgeon | Justin Braun |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Connor McDavid | Yanni Gourde | Gabriel Landeskog | Jared Spurgeon | Justin Braun |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jonathan Marchessault, , Yanni Gourde | Yanni Gourde, | Yanni Gourde |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Vince Dunn, Justin Braun, Jared Spurgeon | Vince Dunn | Vince Dunn, Jared Spurgeon |
Penalty Shots |
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Yanni Gourde, Jonathan Marchessault, , Connor McDavid, Gabriel Landeskog |
Goalie |
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#1 : Connor Hellebuyck, #2 : Carey Price |
Custom OT Lines Forwards |
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Yanni Gourde, Jonathan Marchessault, Connor McDavid, Michael Bunting, Justin Danforth, , , Gabriel Landeskog, Alex Barre-Boulet, Dominik Kubalik, Alex Nylander |
Custom OT Lines Defensemen |
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Jared Spurgeon, Justin Braun, Samuel Girard, Torey Krug, Vince Dunn |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
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Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
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W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
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0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
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Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Puck Time | |||||
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In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 0 |
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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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Arena Capacity - Ticket Price Attendance - % | |||||
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Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100 | 60 | 35 | 25 | 200 |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | ||||
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Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 83,449,165$ | 83,449,165$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
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0$ | 0$ | 0$ | 0 | 0 |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 6 | 0$ | 0$ |
Team Total Estimate | ||
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Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 12,000,000$ | 12,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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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Eemil Viro | ![]() | Link | |||
Isak Rosen | ![]() | Link | |||
Jack Hughes | ![]() | Link | |||
Kasper Puutio | ![]() | Link | |||
Logan Mailloux | ![]() | Link | |||
Luke Tuch | ![]() | Link | |||
Maveric Lamoureux | ![]() | Link | |||
Oskar Olausson | ![]() | Link | |||
Prokhor Poltapov | ![]() | Link | |||
Topi Ronni | ![]() | Link | |||
William Wallinder | ![]() | Link |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
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2 | ![]() | ![]() | ![]() | ||||
3 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
4 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
5 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
6 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
# | 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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1 | Jared Spurgeon | 82 | 11 | 57 | 68 | -15 | 36 | 119 | 152 | 157 | 7.01% | 120 | 2139 | 26.09 | 6 | 14 | 20 | 74 | 0 | 1 | 1 | 0 | 3 | 2 | 0.00% | 0 | 0.64 | 0 | 0 |
2 | Connor McDavid | 69 | 32 | 32 | 64 | -5 | 6 | 47 | 194 | 292 | 10.96% | 14 | 1392 | 20.19 | 5 | 8 | 13 | 48 | 0 | 0 | 0 | 5 | 4 | 1 | 51.60 | 1 | 0.92 | 0 | 3 |
3 | Gabriel Landeskog | 74 | 23 | 28 | 51 | 1 | 36 | 183 | 101 | 155 | 14.84% | 15 | 1470 | 19.87 | 5 | 5 | 10 | 26 | 1 | 1 | 2 | 6 | 5 | 2 | 48.77 | 0 | 0.69 | 2 | 2 |
4 | Yanni Gourde | 82 | 26 | 22 | 48 | -27 | 18 | 128 | 319 | 231 | 11.26% | 33 | 1789 | 21.82 | 6 | 8 | 14 | 40 | 1 | 0 | 1 | 6 | 4 | 0 | 50.15 | 0 | 0.54 | 3 | 9 |
5 | Samuel Girard | 82 | 8 | 33 | 41 | -10 | 44 | 117 | 109 | 89 | 8.99% | 131 | 1749 | 21.34 | 4 | 7 | 11 | 49 | 0 | 2 | 2 | 1 | 1 | 1 | 0.00% | 0 | 0.47 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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1 | Connor Hellebuyck | 78 | 31 | 37 | 9 | 0.902 | 2.92 | 4520 | 6 | 4 | 220 | 2249 | 0 | 5 | 1 | 0.808 | 26 |
2 | Carey Price | 11 | 3 | 2 | 0 | 0.905 | 2.73 | 461 | 0 | 0 | 21 | 220 | 0 | 1 | 0 | 1.000 | 4 |
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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 | 82 | 21 | 39 | 0 | 6 | 6 | 7 | 3 | 213 | 245 | -32 | 41 | 12 | 20 | 0 | 1 | 2 | 4 | 2 | 110 | 123 | -13 | 41 | 9 | 19 | 0 | 5 | 4 | 3 | 1 | 103 | 122 | -19 | 77 | 213 | 366 | 579 | 1 | 4 | 82 | 50 | 68 | 17 | 2161 | 734 | 672 | 722 | 62 | 2470 | 735 | 581 | 1844 | 241 | 41 | 17.01% | 247 | 47 | 80.97% | 2 | 1359 | 2714 | 50.07% | 1460 | 2942 | 49.63% | 624 | 1233 | 50.61% | 1937 | 1336 | 2000 | 604 | 1051 | 517 |
Total Regular Season | 82 | 21 | 39 | 0 | 6 | 6 | 7 | 3 | 213 | 245 | -32 | 41 | 12 | 20 | 0 | 1 | 2 | 4 | 2 | 110 | 123 | -13 | 41 | 9 | 19 | 0 | 5 | 4 | 3 | 1 | 103 | 122 | -19 | 77 | 213 | 366 | 579 | 1 | 4 | 82 | 50 | 68 | 17 | 2161 | 734 | 672 | 722 | 62 | 2470 | 735 | 581 | 1844 | 241 | 41 | 17.01% | 247 | 47 | 80.97% | 2 | 1359 | 2714 | 50.07% | 1460 | 2942 | 49.63% | 624 | 1233 | 50.61% | 1937 | 1336 | 2000 | 604 | 1051 | 517 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
# | 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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