![]() | Rangers |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Daerick Brouilette | Morale : 40 | Team Overall : 69 |
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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 | Martin Necas | X | 100.00 | 62 | 36 | 88 | 78 | 77 | 87 | 89 | 76 | 74 | 77 | 72 | 73 | 78 | 65 | 69 | 84 | 40 | 72 | 0 | 24 | 2 | 3,000,000$ | ||||
2 | Reilly Smith | X | X | 100.00 | 64 | 35 | 93 | 75 | 73 | 88 | 87 | 73 | 59 | 72 | 74 | 80 | 71 | 78 | 73 | 52 | 40 | 72 | 0 | 32 | 3 | 5,000,000$ | |||
3 | Charlie Coyle | X | X | 100.00 | 66 | 37 | 88 | 70 | 87 | 85 | 92 | 71 | 83 | 72 | 66 | 78 | 70 | 78 | 74 | 64 | 40 | 71 | 0 | 31 | 4 | 5,250,000$ | |||
4 | Jakob Silfverberg | X | X | 100.00 | 65 | 36 | 84 | 74 | 79 | 87 | 85 | 72 | 56 | 71 | 65 | 83 | 73 | 79 | 72 | 56 | 40 | 71 | 0 | 32 | 2 | 5,250,000$ | |||
5 | Jaden Schwartz | X | 100.00 | 66 | 34 | 86 | 74 | 68 | 89 | 81 | 76 | 67 | 75 | 71 | 65 | 73 | 75 | 71 | 67 | 40 | 70 | 0 | 30 | 4 | 5,500,000$ | ||||
6 | Pavel Zacha | X | X | 100.00 | 65 | 37 | 91 | 72 | 85 | 87 | 89 | 71 | 83 | 74 | 73 | 66 | 72 | 68 | 71 | 85 | 40 | 70 | 0 | 26 | 1 | 3,500,000$ | |||
7 | Jason Zucker | X | X | 100.00 | 76 | 34 | 86 | 75 | 72 | 84 | 82 | 71 | 64 | 70 | 73 | 62 | 75 | 74 | 71 | 55 | 40 | 69 | 0 | 31 | 1 | 5,500,000$ | |||
8 | Nick Ritchie | X | 100.00 | 85 | 72 | 81 | 65 | 91 | 83 | 88 | 64 | 56 | 65 | 72 | 64 | 67 | 69 | 70 | 73 | 40 | 67 | 0 | 27 | 1 | 2,500,000$ | ||||
9 | Oliver Wahlstrom | X | X | 100.00 | 71 | 45 | 70 | 74 | 81 | 78 | 89 | 73 | 58 | 65 | 72 | 56 | 71 | 62 | 64 | 85 | 40 | 67 | 0 | 22 | 1 | 894,167$ | |||
10 | Brendan Lemieux | X | 100.00 | 86 | 82 | 59 | 65 | 80 | 76 | 85 | 64 | 56 | 63 | 62 | 56 | 61 | 67 | 68 | 74 | 62 | 64 | 0 | 27 | 1 | 1,350,000$ | ||||
11 | Denis Malgin | X | X | X | 100.00 | 66 | 35 | 84 | 67 | 65 | 85 | 74 | 68 | 72 | 66 | 63 | 61 | 65 | 67 | 64 | 59 | 26 | 64 | 0 | 26 | 1 | 750,000$ | ||
12 | Mathieu Olivier | X | 100.00 | 81 | 84 | 56 | 60 | 82 | 76 | 82 | 61 | 62 | 60 | 61 | 66 | 58 | 65 | 67 | 42 | 40 | 63 | 0 | 26 | 1 | 750,000$ | ||||
13 | Morgan Rielly | X | 100.00 | 67 | 36 | 89 | 81 | 83 | 93 | 90 | 75 | 30 | 88 | 68 | 73 | 56 | 75 | 77 | 73 | 40 | 75 | 0 | 29 | 8 | 7,500,000$ | ||||
14 | Mikey Anderson | X | 100.00 | 77 | 35 | 89 | 70 | 73 | 91 | 88 | 65 | 30 | 70 | 57 | 84 | 50 | 63 | 65 | 62 | 40 | 72 | 0 | 24 | 1 | 1,000,000$ | ||||
15 | Dylan DeMelo | X | 100.00 | 72 | 35 | 88 | 64 | 73 | 88 | 90 | 65 | 30 | 71 | 55 | 83 | 49 | 71 | 69 | 49 | 40 | 71 | 0 | 30 | 2 | 3,000,000$ | ||||
16 | Jakub Zboril | X | 100.00 | 77 | 35 | 87 | 69 | 76 | 85 | 73 | 68 | 30 | 74 | 55 | 67 | 53 | 64 | 65 | 82 | 40 | 67 | 0 | 26 | 2 | 1,137,500$ | ||||
17 | Radim Simek | X | 100.00 | 86 | 38 | 91 | 60 | 75 | 83 | 85 | 62 | 30 | 61 | 57 | 68 | 52 | 70 | 72 | 35 | 43 | 67 | 0 | 30 | 2 | 2,250,000$ | ||||
18 | Kurtis MacDermid | X | 100.00 | 77 | 89 | 61 | 59 | 96 | 74 | 83 | 57 | 30 | 60 | 58 | 66 | 51 | 68 | 70 | 36 | 40 | 66 | 0 | 29 | 2 | 987,500$ | ||||
19 | Sean Day | X | 100.00 | 77 | 39 | 82 | 57 | 87 | 76 | 85 | 59 | 30 | 61 | 57 | 63 | 48 | 64 | 66 | 63 | 50 | 65 | 0 | 25 | 1 | 750,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Liam Foudy | X | X | X | 100.00 | 60 | 38 | 87 | 69 | 78 | 86 | 70 | 67 | 77 | 64 | 59 | 67 | 71 | 63 | 64 | 83 | 40 | 65 | 0 | 23 | 2 | 762,500$ | ||
2 | Reese Johnson | X | X | 100.00 | 84 | 43 | 83 | 62 | 76 | 74 | 75 | 59 | 72 | 60 | 58 | 67 | 59 | 64 | 66 | 53 | 54 | 63 | 0 | 24 | 2 | 800,000$ | |||
3 | Jake Christiansen | X | 100.00 | 64 | 37 | 83 | 62 | 72 | 83 | 85 | 61 | 30 | 62 | 63 | 54 | 61 | 63 | 65 | 52 | 40 | 62 | 0 | 23 | 1 | 925,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Marian Studenic | X | 100.00 | 63 | 39 | 86 | 63 | 74 | 80 | 79 | 65 | 61 | 64 | 65 | 68 | 64 | 65 | 67 | 54 | 52 | 65 | 0 | 24 | 1 | 750,000$ | ||||
2 | Oskar Steen | X | 100.00 | 74 | 37 | 88 | 66 | 69 | 82 | 85 | 64 | 72 | 65 | 61 | 62 | 63 | 65 | 66 | 48 | 48 | 64 | 0 | 25 | 2 | 800,000$ | ||||
3 | Max Jones | X | 100.00 | 83 | 71 | 78 | 63 | 81 | 72 | 76 | 64 | 55 | 61 | 63 | 57 | 62 | 65 | 64 | 81 | 60 | 63 | 0 | 25 | 2 | 1,295,000$ | ||||
4 | Gabriel Fortier | X | 100.00 | 73 | 35 | 85 | 56 | 66 | 76 | 85 | 57 | 64 | 58 | 59 | 60 | 63 | 62 | 64 | 69 | 46 | 60 | 0 | 23 | 1 | 791,667$ | ||||
5 | Gage Goncalves | X | 100.00 | 62 | 38 | 82 | 58 | 71 | 75 | 85 | 55 | 63 | 56 | 59 | 55 | 58 | 61 | 63 | 68 | 49 | 59 | 0 | 22 | 2 | 820,000$ | ||||
6 | Nick Perbix | X | 100.00 | 69 | 38 | 81 | 63 | 79 | 78 | 65 | 62 | 30 | 66 | 57 | 61 | 50 | 64 | 66 | 53 | 31 | 63 | 0 | 24 | 1 | 842,500$ | ||||
7 | Fedor Gordeev (R) | X | 100.00 | 74 | 87 | 45 | 66 | 87 | 51 | 53 | 46 | 25 | 30 | 30 | 60 | 37 | 44 | 44 | 49 | 47 | 55 | 0 | 23 | 3 | 791,667$ | ||||
TEAM AVERAGE | 100.00 | 72 | 46 | 81 | 67 | 78 | 81 | 82 | 65 | 53 | 66 | 62 | 66 | 61 | 67 | 67 | 62 | 43 | 66 |
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 | Kaapo Kahkonen | 100.00 | 89 | 90 | 86 | 84 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 66 | 75 | 58 | 40 | 84 | 0 | 26 | 2 | 2,750,000$ | |
2 | Laurent Brossoit | 100.00 | 83 | 78 | 73 | 86 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 70 | 83 | 56 | 40 | 79 | 0 | 30 | 1 | 2,325,000$ | |
Scratches | |||||||||||||||||||||||
1 | Akira Schmid | 100.00 | 72 | 79 | 78 | 90 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 62 | 67 | 58 | 46 | 72 | 0 | 23 | 2 | 850,833$ | |
Farm Team | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 81 | 82 | 79 | 87 | 80 | 79 | 81 | 80 | 79 | 81 | 80 | 66 | 75 | 57 | 42 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Don Granato | 78 | 77 | 79 | 87 | 82 | 76 | 67 | USA | 55 | 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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Akira Schmid | ![]() | G | 23 | 2000-05-12 | No | 205 Lbs | 6 ft5 | No | No | No | No | 2 | Pro & Farm | 850,833$ | 0$ | 0$ | No | 850,833$ | Link | ||||||||
Brendan Lemieux | ![]() | LW | 27 | 1996-03-15 | No | 215 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 1,350,000$ | 0$ | 0$ | No | Link | |||||||||
Charlie Coyle | ![]() | C/RW | 31 | 1992-03-02 | No | 219 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 5,250,000$ | 0$ | 0$ | No | 5,250,000$ | 5,250,000$ | 5,250,000$ | Link | ||||||
Denis Malgin | ![]() | C/LW/RW | 26 | 1997-01-18 | No | 177 Lbs | 5 ft9 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Dylan DeMelo | ![]() | D | 30 | 1993-05-01 | No | 191 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 3,000,000$ | 0$ | 0$ | No | 3,000,000$ | Link | ||||||||
Jaden Schwartz | ![]() | LW | 30 | 1992-06-25 | No | 190 Lbs | 5 ft10 | No | No | No | No | 4 | Pro & Farm | 5,500,000$ | 0$ | 0$ | No | 5,500,000$ | 5,500,000$ | 5,500,000$ | Link | ||||||
Jake Christiansen | ![]() | D | 23 | 1999-09-12 | No | 186 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link | |||||||||
Jakob Silfverberg | ![]() | LW/RW | 32 | 1990-10-13 | No | 207 Lbs | 6 ft1 | No | No | No | No | 2 | Pro & Farm | 5,250,000$ | 0$ | 0$ | No | 5,250,000$ | Link | ||||||||
Jakub Zboril | ![]() | D | 26 | 1997-02-21 | No | 191 Lbs | 6 ft1 | No | No | No | No | 2 | Pro & Farm | 1,137,500$ | 0$ | 0$ | No | 1,137,500$ | Link | ||||||||
Jason Zucker | ![]() | LW/RW | 31 | 1992-01-16 | No | 192 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 5,500,000$ | 0$ | 0$ | No | Link | |||||||||
Kaapo Kahkonen | ![]() | G | 26 | 1996-08-16 | No | 217 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 2,750,000$ | 0$ | 0$ | No | 2,750,000$ | Link | ||||||||
Kurtis MacDermid | ![]() | D | 29 | 1994-03-25 | No | 233 Lbs | 6 ft5 | No | No | No | No | 2 | Pro & Farm | 987,500$ | 0$ | 0$ | No | 987,500$ | Link | ||||||||
Laurent Brossoit | ![]() | G | 30 | 1993-03-23 | No | 215 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 2,325,000$ | 0$ | 0$ | No | Link | |||||||||
Liam Foudy | ![]() | C/LW/RW | 23 | 2000-02-04 | No | 187 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 762,500$ | 0$ | 0$ | No | 762,500$ | Link | ||||||||
Martin Necas | ![]() | C | 24 | 1999-01-15 | No | 189 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 3,000,000$ | 0$ | 0$ | No | 3,000,000$ | Link | ||||||||
Mathieu Olivier | ![]() | RW | 26 | 1997-02-11 | No | 210 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Mikey Anderson | ![]() | D | 24 | 1999-05-25 | No | 195 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link | |||||||||
Morgan Rielly | ![]() | D | 29 | 1994-03-09 | No | 220 Lbs | 6 ft1 | No | No | No | No | 8 | Pro & Farm | 7,500,000$ | 0$ | 0$ | No | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | Link | ||
Nick Ritchie | ![]() | LW | 27 | 1995-12-05 | No | 236 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | Link | |||||||||
Oliver Wahlstrom | ![]() | C/RW | 22 | 2000-06-13 | No | 205 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 894,167$ | 0$ | 0$ | No | Link | |||||||||
Pavel Zacha | ![]() | C/LW | 26 | 1997-04-06 | No | 210 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 3,500,000$ | 0$ | 0$ | No | Link | |||||||||
Radim Simek | ![]() | D | 30 | 1992-09-20 | No | 204 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 2,250,000$ | 0$ | 0$ | No | 2,250,000$ | Link | ||||||||
Reese Johnson | ![]() | C/RW | 24 | 1998-07-10 | No | 193 Lbs | 6 ft1 | No | No | No | No | 2 | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | Link | ||||||||
Reilly Smith | ![]() | LW/RW | 32 | 1991-04-01 | No | 180 Lbs | 6 ft1 | No | No | No | No | 3 | Pro & Farm | 5,000,000$ | 0$ | 0$ | No | 5,000,000$ | 5,000,000$ | Link | |||||||
Sean Day | ![]() | D | 25 | 1998-01-09 | No | 218 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
25 | 27.04 | 203 Lbs | 6 ft1 | 2.00 | 2,571,300$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
64,282,500$ | 44,038,333$ | 23,250,000$ | 18,250,000$ | 7,500,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Jaden Schwartz | Martin Necas | Reilly Smith | 26 | 2 | 2 | 1 |
2 | Pavel Zacha | Mathieu Olivier | Oliver Wahlstrom | 26 | 2 | 2 | 1 |
3 | Jason Zucker | Charlie Coyle | Jakob Silfverberg | 26 | 2 | 2 | 1 |
4 | Brendan Lemieux | Denis Malgin | Nick Ritchie | 22 | 5 | 0 | 0 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Morgan Rielly | Mikey Anderson | 35 | 1 | 1 | 3 | |
2 | Jakub Zboril | Dylan DeMelo | 28 | 2 | 1 | 2 | |
3 | Radim Simek | Kurtis MacDermid | 27 | 4 | 1 | 0 | |
4 | Radim Simek | Kurtis MacDermid | 10 | 3 | 2 | 0 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Jaden Schwartz | Martin Necas | Oliver Wahlstrom | 60 | 0 | 0 | 5 |
2 | Pavel Zacha | Charlie Coyle | Reilly Smith | 40 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Dylan DeMelo | Morgan Rielly | 60 | 1 | 0 | 4 | |
2 | Radim Simek | Jakub Zboril | 40 | 1 | 0 | 4 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Pavel Zacha | Martin Necas | 60 | 1 | 4 | 0 |
2 | Charlie Coyle | Nick Ritchie | 40 | 1 | 4 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jakub Zboril | Morgan Rielly | 60 | 1 | 2 | 2 |
2 | Radim Simek | Kurtis MacDermid | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Martin Necas | 60 | 0 | 4 | 1 | Radim Simek | Morgan Rielly | 60 | 1 | 2 | 2 |
2 | Charlie Coyle | 40 | 1 | 4 | 0 | Kurtis MacDermid | Jakub Zboril | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Martin Necas | Pavel Zacha | 60 | 0 | 2 | 3 |
2 | Jaden Schwartz | Oliver Wahlstrom | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Dylan DeMelo | Morgan Rielly | 60 | 1 | 2 | 2 |
2 | Jakub Zboril | Radim Simek | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Pavel Zacha | Mathieu Olivier | Oliver Wahlstrom | Morgan Rielly | Jakub Zboril |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jason Zucker | Martin Necas | Jaden Schwartz | Morgan Rielly | Jakub Zboril |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Martin Necas, Jaden Schwartz, Pavel Zacha | Martin Necas, Jason Zucker | Martin Necas |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Morgan Rielly, Jakub Zboril, Radim Simek | Morgan Rielly | Kurtis MacDermid, Morgan Rielly |
Penalty Shots |
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Martin Necas, Pavel Zacha, Reilly Smith, Oliver Wahlstrom, Jakob Silfverberg |
Goalie |
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#1 : Laurent Brossoit, #2 : Kaapo Kahkonen |
Custom OT Lines Forwards |
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Martin Necas, Pavel Zacha, Reilly Smith, Charlie Coyle, Jakob Silfverberg, Jason Zucker, Jason Zucker, Morgan Rielly, Jaden Schwartz, Nick Ritchie, Oliver Wahlstrom |
Custom OT Lines Defensemen |
---|
Morgan Rielly, Kurtis MacDermid, Radim Simek, Dylan DeMelo, Jakub Zboril |
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 |
---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|
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 | |||||
---|---|---|---|---|---|
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 |
---|---|---|
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 - % | |||||
---|---|---|---|---|---|
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 | |||||
---|---|---|---|---|---|
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$ | 64,282,500$ | 64,282,500$ | 0$ | 10,500,000$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 3 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
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 |
---|---|---|---|---|---|
Corson Ceulemans | ![]() | Link | |||
Dylan Garand | ![]() | Link | |||
Francesco Arcuri | ![]() | Link | |||
Frank Nazar | ![]() | Link | |||
Isaac Howard | ![]() | Link | |||
Jan Mysak | ![]() | Link | |||
Mattias Havelid | ![]() | Link | |||
Owen Beck | ![]() | Link | |||
Ryan Winterton | ![]() | Link | |||
Ryder Korczak | ![]() | Link | |||
Tyler Kleven | ![]() | Link | |||
Zach Dean | ![]() | Link | |||
Zachary L'heureux | ![]() | Link | |||
hendrix Lapierre | ![]() | Link |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
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 | Martin Necas | 81 | 30 | 47 | 77 | 8 | 18 | 84 | 204 | 252 | 11.90% | 28 | 1578 | 19.49 | 8 | 19 | 27 | 53 | 0 | 1 | 1 | 3 | 3 | 4 | 47.31 | 0 | 0.98 | 0 | 3 |
2 | Morgan Rielly | 82 | 11 | 56 | 67 | -16 | 58 | 99 | 152 | 116 | 9.48% | 102 | 1896 | 23.13 | 8 | 17 | 25 | 73 | 0 | 0 | 0 | 0 | 2 | 3 | 0.00% | 0 | 0.71 | 0 | 0 |
3 | Reilly Smith | 82 | 23 | 30 | 53 | -13 | 24 | 94 | 111 | 272 | 8.46% | 18 | 1400 | 17.08 | 5 | 12 | 17 | 53 | 0 | 0 | 0 | 0 | 6 | 4 | 42.17 | 0 | 0.76 | 2 | 6 |
4 | Dylan DeMelo | 82 | 16 | 35 | 51 | 4 | 42 | 90 | 92 | 109 | 14.68% | 88 | 1517 | 18.51 | 9 | 11 | 20 | 64 | 0 | 1 | 1 | 0 | 3 | 1 | 0.00% | 0 | 0.67 | 0 | 0 |
5 | Jaden Schwartz | 82 | 24 | 26 | 50 | 6 | 24 | 106 | 84 | 197 | 12.18% | 8 | 1447 | 17.65 | 4 | 14 | 18 | 38 | 0 | 0 | 0 | 0 | 0 | 1 | 39.64 | 0 | 0.69 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kaapo Kahkonen | 52 | 20 | 25 | 2 | 0.899 | 3.21 | 2880 | 6 | 2 | 154 | 1526 | 0 | 1 | 3 | 0.818 | 11 |
2 | Laurent Brossoit | 32 | 14 | 11 | 6 | 0.905 | 3.24 | 1779 | 2 | 1 | 96 | 1013 | 0 | 2 | 0 | 0.375 | 8 |
3 | Akira Schmid | 6 | 0 | 4 | 0 | 0.882 | 3.89 | 293 | 0 | 0 | 19 | 161 | 0 | 0 | 0 | 0.00% | 0 |
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 | 28 | 40 | 0 | 5 | 3 | 1 | 5 | 238 | 277 | -39 | 41 | 16 | 18 | 0 | 4 | 2 | 1 | 0 | 124 | 130 | -6 | 41 | 12 | 22 | 0 | 1 | 1 | 0 | 5 | 114 | 147 | -33 | 76 | 238 | 432 | 670 | 3 | 3 | 76 | 79 | 77 | 7 | 2376 | 710 | 798 | 833 | 56 | 2703 | 779 | 737 | 1897 | 253 | 52 | 20.55% | 320 | 78 | 75.63% | 2 | 1381 | 2790 | 49.50% | 1509 | 3045 | 49.56% | 653 | 1323 | 49.36% | 1881 | 1285 | 2050 | 610 | 1038 | 508 |
Total Regular Season | 82 | 28 | 40 | 0 | 5 | 3 | 1 | 5 | 238 | 277 | -39 | 41 | 16 | 18 | 0 | 4 | 2 | 1 | 0 | 124 | 130 | -6 | 41 | 12 | 22 | 0 | 1 | 1 | 0 | 5 | 114 | 147 | -33 | 76 | 238 | 432 | 670 | 3 | 3 | 76 | 79 | 77 | 7 | 2376 | 710 | 798 | 833 | 56 | 2703 | 779 | 737 | 1897 | 253 | 52 | 20.55% | 320 | 78 | 75.63% | 2 | 1381 | 2790 | 49.50% | 1509 | 3045 | 49.56% | 653 | 1323 | 49.36% | 1881 | 1285 | 2050 | 610 | 1038 | 508 |
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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