![]() | Detroit Red Wings |
GP: 4 | W: 0 | L: 3 | OTL: 1 | P: 1 GF: 17 | GA: 23 | PP%: 21.05% | PK%: 56.25% GM : Patrick Auger | Morale : 40 | Team Overall : 71 Next Games #72 vs Tampa Bay Lightning |
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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 | Auston Matthews (C) | X | X | 98.00 | 69 | 37 | 92 | 84 | 87 | 91 | 88 | 86 | 85 | 82 | 95 | 83 | 91 | 74 | 88 | 76 | 40 | 80 | 0 | 27 | 4 | 13,250,000$ | |||
2 | William Nylander | X | X | X | 97.50 | 59 | 35 | 91 | 84 | 75 | 92 | 90 | 85 | 79 | 83 | 87 | 65 | 88 | 76 | 77 | 70 | 40 | 76 | 0 | 28 | 8 | 11,500,000$ | ||
3 | Alex Tuch | X | X | 98.00 | 69 | 53 | 79 | 80 | 90 | 88 | 90 | 77 | 76 | 78 | 79 | 92 | 74 | 73 | 75 | 67 | 40 | 75 | 0 | 28 | 2 | 4,750,000$ | |||
4 | Dylan Larkin (A) | X | 99.50 | 64 | 38 | 83 | 84 | 77 | 91 | 88 | 81 | 85 | 80 | 82 | 72 | 83 | 77 | 88 | 66 | 40 | 75 | 0 | 28 | 7 | 8,700,000$ | ||||
5 | Matt Duchene (A) | X | X | 99.00 | 61 | 35 | 94 | 79 | 75 | 87 | 90 | 80 | 84 | 82 | 78 | 65 | 79 | 88 | 81 | 47 | 40 | 74 | 0 | 33 | 1 | 3,000,000$ | |||
6 | Jonathan Drouin | X | X | 99.50 | 62 | 34 | 91 | 79 | 72 | 89 | 83 | 77 | 59 | 80 | 73 | 63 | 76 | 78 | 72 | 71 | 40 | 71 | 0 | 29 | 1 | 2,500,000$ | |||
7 | Brandon Saad | X | X | 100.00 | 57 | 36 | 94 | 74 | 80 | 86 | 89 | 71 | 57 | 68 | 73 | 66 | 71 | 85 | 77 | 54 | 40 | 70 | 0 | 31 | 1 | 1,500,000$ | |||
8 | Nic Dowd | X | X | 99.50 | 75 | 39 | 77 | 66 | 78 | 86 | 88 | 65 | 79 | 63 | 67 | 90 | 62 | 79 | 78 | 25 | 40 | 69 | 0 | 34 | 1 | 1,300,000$ | |||
9 | Trevor Zegras | X | X | X | 100.00 | 67 | 37 | 81 | 75 | 71 | 88 | 76 | 77 | 73 | 74 | 70 | 64 | 83 | 65 | 71 | 84 | 40 | 69 | 0 | 23 | 2 | 5,750,000$ | ||
10 | Justin Brazeau | X | X | 100.00 | 86 | 51 | 93 | 67 | 98 | 80 | 87 | 65 | 63 | 62 | 66 | 68 | 65 | 67 | 69 | 37 | 40 | 68 | 0 | 26 | 1 | 775,000$ | |||
11 | Victor Olofsson | X | X | 100.00 | 62 | 34 | 94 | 73 | 68 | 82 | 80 | 72 | 52 | 67 | 70 | 62 | 73 | 72 | 71 | 39 | 40 | 68 | 0 | 29 | 1 | 1,075,000$ | |||
12 | Adam Gaudette | X | 100.00 | 68 | 51 | 86 | 68 | 75 | 90 | 88 | 66 | 76 | 61 | 71 | 63 | 68 | 72 | 71 | 45 | 40 | 67 | 0 | 28 | 1 | 775,000$ | ||||
13 | Moritz Seider | X | 99.50 | 83 | 56 | 82 | 75 | 84 | 94 | 90 | 72 | 30 | 81 | 67 | 89 | 55 | 66 | 73 | 86 | 40 | 73 | 0 | 23 | 7 | 8,550,000$ | ||||
14 | Darnell Nurse | X | 99.50 | 79 | 82 | 72 | 73 | 89 | 93 | 90 | 68 | 30 | 77 | 66 | 84 | 55 | 78 | 72 | 69 | 40 | 71 | 0 | 29 | 6 | 9,250,000$ | ||||
15 | Chris Tanev | X | 99.50 | 62 | 37 | 90 | 66 | 83 | 91 | 88 | 63 | 30 | 73 | 56 | 90 | 49 | 85 | 76 | 21 | 40 | 69 | 0 | 34 | 6 | 4,500,000$ | ||||
16 | Jack Johnson | X | 100.00 | 68 | 37 | 90 | 63 | 85 | 84 | 83 | 61 | 30 | 71 | 55 | 73 | 48 | 91 | 78 | 37 | 40 | 67 | 0 | 37 | 1 | 775,000$ | ||||
17 | Juuso Valimaki | X | 100.00 | 67 | 36 | 92 | 68 | 81 | 86 | 82 | 66 | 30 | 71 | 59 | 69 | 53 | 68 | 70 | 72 | 40 | 67 | 0 | 25 | 2 | 2,000,000$ | ||||
18 | Zach Whitecloud | X | 100.00 | 77 | 39 | 84 | 64 | 82 | 88 | 85 | 63 | 30 | 71 | 58 | 75 | 50 | 71 | 70 | 36 | 40 | 67 | 0 | 27 | 4 | 2,750,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 99.22 | 69 | 43 | 87 | 73 | 81 | 88 | 86 | 72 | 58 | 74 | 71 | 74 | 68 | 76 | 75 | 56 | 40 | 71 |
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 | Filip Gustavsson | 99.00 | 94 | 91 | 87 | 77 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 70 | 77 | 60 | 40 | 77 | 0 | 26 | 2 | 3,750,000$ | |
2 | Artur Akhtyamov (R) | 99.00 | 72 | 76 | 72 | 74 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 64 | 71 | 59 | 40 | 65 | 0 | 22 | 2 | 852,667$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 99.00 | 83 | 84 | 80 | 76 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 67 | 74 | 60 | 40 | 71 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 78 | 85 | 83 | 84 | 85 | 79 | 62 | CAN | 57 | 9 | 1,000,000$ |
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 | Auston Matthews | ![]() | C/LW | 4 | 2 | 5 | 7 | 3 | 4 | 0 | 6 | 8 | 23 | 3 | 16 | 8.70% | 0 | 91 | 22.97 | 1 | 1 | 2 | 5 | 15 | 0 | 0 | 0 | 1 | 8 | 0 | 0 | 56.44% | 101 | 0 | 0 | 0 | 0 | 1.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
2 | Alex Tuch | ![]() | C/RW | 4 | 3 | 3 | 6 | 3 | 6 | 0 | 15 | 17 | 16 | 6 | 11 | 18.75% | 1 | 86 | 21.68 | 0 | 0 | 0 | 1 | 15 | 0 | 0 | 0 | 1 | 8 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 1.38 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
3 | Chris Tanev | ![]() | D | 4 | 1 | 4 | 5 | -5 | 2 | 0 | 2 | 5 | 6 | 0 | 3 | 16.67% | 8 | 89 | 22.42 | 0 | 2 | 2 | 4 | 13 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | William Nylander | ![]() | C/LW/RW | 4 | 3 | 2 | 5 | 4 | 4 | 0 | 6 | 9 | 15 | 6 | 8 | 20.00% | 2 | 88 | 22.21 | 1 | 1 | 2 | 3 | 15 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 52.63% | 38 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Darnell Nurse | ![]() | D | 4 | 1 | 3 | 4 | 3 | 2 | 0 | 8 | 9 | 8 | 4 | 3 | 12.50% | 6 | 104 | 26.04 | 1 | 0 | 1 | 3 | 15 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6 | Dylan Larkin | ![]() | C | 4 | 3 | 0 | 3 | -4 | 0 | 0 | 5 | 12 | 17 | 0 | 8 | 17.65% | 0 | 75 | 18.97 | 1 | 0 | 1 | 4 | 13 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 51.89% | 106 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Jonathan Drouin | ![]() | C/LW | 4 | 1 | 2 | 3 | -3 | 0 | 0 | 2 | 2 | 9 | 3 | 7 | 11.11% | 1 | 74 | 18.51 | 0 | 1 | 1 | 2 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Brandon Saad | ![]() | LW/RW | 4 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 5 | 20.00% | 0 | 46 | 11.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Matt Duchene | ![]() | C/LW | 4 | 0 | 2 | 2 | -4 | 2 | 0 | 4 | 6 | 15 | 3 | 11 | 0% | 0 | 81 | 20.48 | 0 | 1 | 1 | 3 | 13 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Moritz Seider | ![]() | D | 4 | 1 | 1 | 2 | 2 | 8 | 0 | 10 | 6 | 5 | 1 | 4 | 20.00% | 7 | 102 | 25.52 | 0 | 1 | 1 | 3 | 15 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Juuso Valimaki | ![]() | D | 4 | 0 | 2 | 2 | 0 | 0 | 0 | 2 | 2 | 4 | 2 | 0 | 0% | 0 | 59 | 14.96 | 0 | 0 | 0 | 2 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Nic Dowd | ![]() | C/RW | 4 | 1 | 1 | 2 | 0 | 0 | 0 | 7 | 8 | 7 | 0 | 5 | 14.29% | 0 | 54 | 13.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 45.00% | 80 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Trevor Zegras | ![]() | C/LW/RW | 4 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 4 | 1 | 3 | 7 | 0% | 0 | 46 | 11.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Jack Johnson | ![]() | D | 4 | 0 | 1 | 1 | -5 | 6 | 0 | 7 | 4 | 0 | 0 | 0 | 0% | 2 | 76 | 19.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Zach Whitecloud | ![]() | D | 4 | 0 | 1 | 1 | 0 | 2 | 0 | 5 | 3 | 0 | 0 | 0 | 0% | 3 | 51 | 12.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Adam Gaudette | ![]() | RW | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0% | 0 | 16 | 4.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Justin Brazeau | ![]() | LW/RW | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 16 | 4.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Victor Olofsson | ![]() | LW/RW | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0% | 1 | 16 | 4.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 72 | 17 | 30 | 47 | -12 | 36 | 0 | 80 | 96 | 133 | 34 | 89 | 12.78% | 31 | 1178 | 16.37 | 4 | 7 | 11 | 30 | 145 | 0 | 0 | 0 | 2 | 86 | 0 | 0 | 52.12% | 378 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | 0 | 0 | 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 |
# | 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 | Artur Akhtyamov | ![]() | 3 | 0 | 2 | 1 | 0.893 | 3.56 | 101 | 0 | 0 | 6 | 56 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 |
2 | Filip Gustavsson | ![]() | 4 | 0 | 1 | 0 | 0.793 | 7.34 | 139 | 0 | 0 | 17 | 82 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 |
Team Total or Average | 7 | 0 | 3 | 1 | 0.833 | 5.75 | 240 | 0 | 0 | 23 | 138 | 0 | 0 | 0 | 0 | 4 | 4 | 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 |
Player Name | Team Name | POS | Age | Birthday | Country | 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 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap 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 |
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Adam Gaudette | ![]() | RW | 28 | 1996-10-03 | USA | No | 187 Lbs | 6 ft1 | No | No | Trade | 2025-09-28 | No | Yes | 1 | 2025-07-15 | False | False | Pro & Farm | 775,000$ | 775,000$ | 738,672$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
Alex Tuch | ![]() | C/RW | 28 | 1996-05-10 | USA | No | 219 Lbs | 6 ft4 | No | No | Trade | 2025-02-13 | No | Yes | 2 | False | False | Pro & Farm | 4,750,000$ | 4,750,000$ | 4,527,344$ | No | 4,750,000$ | - | - | - | - | - | - | - | - | 4,750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Artur Akhtyamov | ![]() | G | 22 | 2001-10-31 | RUS | Yes | 170 Lbs | 6 ft2 | No | No | Prospect | No | No | 2 | 2025-07-15 | False | False | Pro & Farm | 852,667$ | 852,667$ | 812,698$ | No | 852,667$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Auston Matthews | ![]() | C/LW | 27 | 1997-09-17 | USA | No | 217 Lbs | 6 ft3 | No | No | N/A | No | Yes | 4 | 2025-07-15 | False | False | Pro & Farm | 13,250,000$ | 13,250,000$ | 12,628,906$ | No | 13,250,000$ | 13,250,000$ | 13,250,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | |
Brandon Saad | ![]() | LW/RW | 31 | 1992-10-27 | USA | No | 215 Lbs | 6 ft1 | No | No | Trade | 2025-10-03 | No | Yes | 1 | 2025-07-16 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,429,688$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
Chris Tanev | ![]() | D | 34 | 1989-12-20 | CAN | No | 199 Lbs | 6 ft3 | No | No | Draft | No | Yes | 6 | 2025-07-16 | False | False | Pro & Farm | 4,500,000$ | 4,500,000$ | 4,289,062$ | No | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | No | No | - | - | - | - | Link / NHL Link | |
Darnell Nurse | ![]() | D | 29 | 1995-02-04 | CAN | No | 215 Lbs | 6 ft4 | No | No | N/A | No | Yes | 6 | False | False | Pro & Farm | 9,250,000$ | 9,250,000$ | 8,816,406$ | No | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | - | - | - | - | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | Link / NHL Link | ||
Dylan Larkin | ![]() | C | 28 | 1996-07-30 | USA | No | 199 Lbs | 6 ft1 | No | No | Trade | 2025-09-16 | No | Yes | 7 | 2024-09-16 | False | False | Pro & Farm | 8,700,000$ | 8,700,000$ | 8,292,188$ | No | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | No | No | No | - | - | - | Link / NHL Link |
Filip Gustavsson | ![]() | G | 26 | 1998-06-07 | SWE | No | 184 Lbs | 6 ft2 | No | No | N/A | No | Yes | 2 | 2024-07-29 | False | False | Pro & Farm | 3,750,000$ | 3,750,000$ | 3,574,219$ | No | 3,750,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Jack Johnson | ![]() | D | 37 | 1987-01-13 | USA | No | 225 Lbs | 6 ft2 | No | No | Trade | 2025-02-09 | No | Yes | 1 | 2025-07-16 | False | False | Pro & Farm | 775,000$ | 775,000$ | 738,672$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
Jonathan Drouin | ![]() | C/LW | 29 | 1995-03-28 | CAN | No | 198 Lbs | 5 ft11 | No | No | Trade | 2024-10-04 | No | Yes | 1 | 2025-07-16 | False | False | Pro & Farm | 2,500,000$ | 2,500,000$ | 2,382,812$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
Justin Brazeau | ![]() | LW/RW | 26 | 1998-02-02 | CAN | No | 227 Lbs | 6 ft6 | No | No | Trade | 2025-10-04 | No | Yes | 1 | 2024-09-04 | False | False | Pro & Farm | 775,000$ | 775,000$ | 738,672$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
Juuso Valimaki | ![]() | D | 25 | 1998-10-06 | FIN | No | 201 Lbs | 6 ft2 | No | No | N/A | No | Yes | 2 | 2025-07-16 | False | False | Pro & Farm | 2,000,000$ | 2,000,000$ | 1,906,250$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Matt Duchene | ![]() | C/LW | 33 | 1991-01-16 | CAN | No | 212 Lbs | 5 ft11 | No | No | Trade | 2025-03-08 | No | Yes | 1 | 2025-07-16 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 2,859,375$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
Moritz Seider | ![]() | D | 23 | 2001-04-06 | DEU | No | 205 Lbs | 6 ft3 | No | No | N/A | No | No | 7 | 2025-07-16 | False | False | Pro & Farm | 8,550,000$ | 8,550,000$ | 8,149,219$ | No | 8,550,000$ | 8,550,000$ | 8,550,000$ | 8,550,000$ | 8,550,000$ | 8,550,000$ | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | No | No | No | - | - | - | Link / NHL Link | |
Nic Dowd | ![]() | C/RW | 34 | 1990-05-27 | USA | No | 190 Lbs | 6 ft2 | No | No | Trade | 2025-01-24 | No | Yes | 1 | False | False | Pro & Farm | 1,300,000$ | 1,300,000$ | 1,239,062$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Trevor Zegras | ![]() | C/LW/RW | 23 | 2001-03-20 | USA | No | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2024-07-29 | False | False | Pro & Farm | 5,750,000$ | 5,750,000$ | 5,480,469$ | No | 5,750,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Victor Olofsson | ![]() | LW/RW | 29 | 1995-07-18 | SWE | No | 180 Lbs | 5 ft11 | No | No | Trade | 2025-10-04 | No | Yes | 1 | 2025-07-16 | False | False | Pro & Farm | 1,075,000$ | 1,075,000$ | 1,024,609$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
William Nylander | ![]() | C/LW/RW | 28 | 1996-05-01 | SWE | No | 202 Lbs | 6 ft0 | No | No | N/A | No | Yes | 8 | 2025-07-16 | False | False | Pro & Farm | 11,500,000$ | 11,500,000$ | 10,960,938$ | No | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | - | - | - | - | - | - | - | - | - | - | - | No | No | No | No | No | No | No | - | - | Link / NHL Link | |
Zach Whitecloud | ![]() | D | 27 | 1996-11-28 | CAN | No | 210 Lbs | 6 ft2 | No | No | Trade | 2024-10-04 | No | Yes | 4 | False | False | Pro & Farm | 2,750,000$ | 2,750,000$ | 2,621,094$ | No | 2,750,000$ | 2,750,000$ | 2,750,000$ | - | - | - | - | - | - | 2,750,000$ | 2,750,000$ | 2,750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
20 | 28.35 | 202 Lbs | 6 ft2 | 3.00 | 4,365,133$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
87,302,667$ | 75,602,667$ | 58,500,000$ | 58,500,000$ | 42,500,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Matt Duchene | Auston Matthews | William Nylander | 35 | 0 | 1 | 4 |
2 | Jonathan Drouin | Dylan Larkin | Alex Tuch | 34 | 0 | 2 | 3 |
3 | Trevor Zegras | Nic Dowd | Brandon Saad | 23 | 1 | 2 | 2 |
4 | Justin Brazeau | Victor Olofsson | Adam Gaudette | 8 | 1 | 3 | 1 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Moritz Seider | Darnell Nurse | 32 | 1 | 2 | 2 | |
2 | Chris Tanev | Jack Johnson | 32 | 1 | 3 | 1 | |
3 | Zach Whitecloud | Juuso Valimaki | 22 | 1 | 3 | 1 | |
4 | Moritz Seider | Darnell Nurse | 14 | 0 | 2 | 3 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Matt Duchene | Auston Matthews | William Nylander | 60 | 0 | 0 | 5 |
2 | Jonathan Drouin | Dylan Larkin | Alex Tuch | 40 | 1 | 0 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Moritz Seider | Darnell Nurse | 60 | 0 | 1 | 4 | |
2 | Chris Tanev | Juuso Valimaki | 40 | 0 | 1 | 4 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nic Dowd | Alex Tuch | 60 | 1 | 4 | 0 |
2 | Auston Matthews | Dylan Larkin | 40 | 1 | 4 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Moritz Seider | Darnell Nurse | 60 | 1 | 4 | 0 |
2 | Chris Tanev | Jack Johnson | 40 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Nic Dowd | 60 | 0 | 5 | 0 | Moritz Seider | Darnell Nurse | 60 | 1 | 4 | 0 |
2 | Auston Matthews | 40 | 0 | 5 | 0 | Chris Tanev | Jack Johnson | 40 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Auston Matthews | William Nylander | 60 | 0 | 2 | 3 |
2 | Dylan Larkin | Matt Duchene | 40 | 0 | 2 | 3 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Moritz Seider | Darnell Nurse | 60 | 1 | 2 | 2 |
2 | Chris Tanev | Jack Johnson | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Alex Tuch | Auston Matthews | William Nylander | Moritz Seider | Darnell Nurse |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Auston Matthews | Nic Dowd | Alex Tuch | Moritz Seider | Darnell Nurse |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Matt Duchene, Jonathan Drouin, Trevor Zegras | Matt Duchene, Jonathan Drouin | Matt Duchene |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jack Johnson, Zach Whitecloud, Juuso Valimaki | Jack Johnson | Jack Johnson, Zach Whitecloud |
Penalty Shots |
---|
Auston Matthews, William Nylander, Alex Tuch, Dylan Larkin, Matt Duchene |
Goalie |
---|
#1 : Filip Gustavsson, #2 : Artur Akhtyamov |
Custom OT Lines Forwards |
---|
Auston Matthews, William Nylander, Alex Tuch, Dylan Larkin, Matt Duchene, Jonathan Drouin, Trevor Zegras, Nic Dowd, Brandon Saad, Justin Brazeau |
Custom OT Lines Defensemen |
---|
Moritz Seider, Darnell Nurse, Chris Tanev, Jack Johnson, Zach Whitecloud |
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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 30 | 7 | 10 | 13 | 0 | 28 | 9 | 16 | 19 | 4 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 78 | 151 | 51.66% | 77 | 152 | 50.66% | 42 | 75 | 56.00% | 22 | 14 | 23 | 7 | 13 | 7 |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 0 | 25 | 15 | 5 | 5 | 0 | 37 | 10 | 10 | 17 | 3 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 78 | 151 | 51.66% | 77 | 152 | 50.66% | 42 | 75 | 56.00% | 22 | 14 | 25 | 8 | 12 | 5 |
3 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 10 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.250 | 8 | 15 | 23 | 0 | 0 | 4 | 1 | 3 | 0 | 78 | 22 | 25 | 30 | 1 | 73 | 12 | 10 | 44 | 12 | 4 | 33.33% | 4 | 1 | 75.00% | 0 | 78 | 151 | 51.66% | 77 | 152 | 50.66% | 42 | 75 | 56.00% | 51 | 37 | 45 | 14 | 25 | 12 |
Total | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 17 | 23 | -6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 19 | -5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.125 | 17 | 30 | 47 | 0 | 0 | 5 | 4 | 8 | 0 | 133 | 44 | 40 | 48 | 1 | 138 | 31 | 36 | 80 | 19 | 4 | 21.05% | 16 | 7 | 56.25% | 0 | 78 | 151 | 51.66% | 77 | 152 | 50.66% | 42 | 75 | 56.00% | 96 | 66 | 93 | 30 | 52 | 26 | |
_Since Last GM Reset | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 17 | 23 | -6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 19 | -5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.125 | 17 | 30 | 47 | 0 | 0 | 5 | 4 | 8 | 0 | 133 | 44 | 40 | 48 | 1 | 138 | 31 | 36 | 80 | 19 | 4 | 21.05% | 16 | 7 | 56.25% | 0 | 78 | 151 | 51.66% | 77 | 152 | 50.66% | 42 | 75 | 56.00% | 96 | 66 | 93 | 30 | 52 | 26 | |
_Vs Conference | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 17 | 23 | -6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 19 | -5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.125 | 17 | 30 | 47 | 0 | 0 | 5 | 4 | 8 | 0 | 133 | 44 | 40 | 48 | 1 | 138 | 31 | 36 | 80 | 19 | 4 | 21.05% | 16 | 7 | 56.25% | 0 | 78 | 151 | 51.66% | 77 | 152 | 50.66% | 42 | 75 | 56.00% | 96 | 66 | 93 | 30 | 52 | 26 | |
_Vs Division | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 17 | 23 | -6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 19 | -5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.125 | 17 | 30 | 47 | 0 | 0 | 5 | 4 | 8 | 0 | 133 | 44 | 40 | 48 | 1 | 138 | 31 | 36 | 80 | 19 | 4 | 21.05% | 16 | 7 | 56.25% | 0 | 78 | 151 | 51.66% | 77 | 152 | 50.66% | 42 | 75 | 56.00% | 96 | 66 | 93 | 30 | 52 | 26 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
4 | 1 | L1 | 17 | 30 | 47 | 133 | 138 | 31 | 36 | 80 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 0 | 3 | 0 | 1 | 0 | 0 | 17 | 23 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 0 | 3 | 0 | 0 | 0 | 0 | 14 | 19 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 3 | 0 | 1 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
19 | 4 | 21.05% | 16 | 7 | 56.25% | 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 |
---|---|---|---|---|---|---|---|
44 | 40 | 48 | 1 | 5 | 4 | 8 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
78 | 151 | 51.66% | 77 | 152 | 50.66% | 42 | 75 | 56.00% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
96 | 66 | 93 | 30 | 52 | 26 |
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 |
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 | 16,530 | 15,000 | 5,612 | 11,687 | 2,934 |
Attendance PCT | 91.83% | 100.00% | 93.53% | 97.39% | 97.80% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
38 | 17254 - 95.86% | 616,827$ | 1,850,482$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
4,139,190$ | 87,302,667$ | 87,302,667$ | 1,000,000$0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
87,302,667$ | 4,092,309$ | 0$ | 20 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
23,439,439$ | 183 | 459,910$ | 84,163,530$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
89,908,815$ | 901,730,838$ | 835,261,462$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
87,302,667$ | 697,333$ | 88,000,000$ | 22,302,667$ |
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 | Last Trade Date | Link |
---|---|---|---|---|---|---|
Albert Wikman | ![]() | 13 | 149 | |||
Arseni Koromyslov | ![]() | 12 | 173 | |||
Brad Gardiner | ![]() | 13 | 90 | |||
Chad Krys | ![]() | 6 | 58 | Link | ||
Dmitri Kostenko | ![]() | 11 | 188 | |||
Dominik Kubalik | ![]() | 3 | 175 | |||
Filip Chlapik | ![]() | 0 | 0 | Link | ||
George Fegaras | ![]() | 12 | 149 | |||
Jake Karabela | ![]() | 12 | 183 | |||
James Greenway | ![]() | 0 | 0 | |||
Joseph Cramarossa | ![]() | 0 | 0 | |||
Luke Reid | ![]() | 10 | 165 | |||
Marcus Davidsson | ![]() | 7 | 57 | |||
Matthew Andonovski | ![]() | 13 | 181 | |||
Michael Spacek | ![]() | 0 | 0 | Link | ||
Mitch Reinke | ![]() | 0 | 0 | |||
Oliver Bonk | ![]() | 13 | 17 | |||
Patrik Puistola | ![]() | 9 | 60 | |||
Radovan Bondra | ![]() | 5 | 110 |
Year | R1 | R2 | R3 | R4 | R5 | R6 |
---|---|---|---|---|---|---|
15 | ![]() ![]() | |||||
16 | ![]() ![]() | ![]() ![]() | ![]() | ![]() | ||
17 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
19 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Conditional Draft Picks |
Le repêchage marque le début de chaque nouvelle saison, mais la vraie game, ça commence le 4 octobre !
La LHSRSM a exprimé le souhait que ses membres nous offrent, à chacun, une présentation ainsi que de payer leur cotisation avant le début de la saison. Nous en sommes à 25 présentations sur le forum (sur un total de 29 directeurs général actif.) et il y a présentement 21 dg qui ont payé leur cotisation.
La raison pour laquelle nous avons demandé une présentation, ce n'était pour savoir qui a la meilleure plume, mais pour que l'on apprenne à mieux se connaitre et que l'on prenne l'habitude de communiquer un peu plus. Beaucoup trop de dg sont ds l'ombre et on n'entend pas assez parler d'eux. Si on veut que la ligue soit dynamique, que les dg reste accroché à la ligue, il faut absolument que plus de dg se mêle aux conversations et aux sujets et fasse sentir leur présence en faisant partie de la communauté RSM. Cette ligue est ce que l'on veut bien en faire et c'est à chacun de nous à y mettre du sien. Plusieurs sont la quotidiennement et participe grandement aux discussions (de hockey ou pas), on a un bon noyau solide ds cette ligue. Pour les autres, si tu n'as pas écrit une phrase à toutes les semaines ou presque, que ce soit sur le forum, messenger ou discord......ben, c'est ça, c'est à toi que je parle..... 😱
D'ailleurs, il serait apprécié lorsque quelqu'un écrit un article, publie quelques choses, que vous répondiez ou du moins, mettez un like. Quand quelqu'un fais un effort pis que ça semble passer dans le beurre, ça ne donne pas le gout de recommencer. Parfois, il faut juste un petit élan et ce n'est pas trop long que l'on devient impliqué dans des discussions qui engendrent d'autres interactions avec d'autres DG et la ligue devient beaucoup plus intéressante.
Notre cotisation est de 30$ pour 3 ans, ça couvre les dépenses de la ligue. (.com, serveur, cotes, licence sths) et les raisons de collecter pour 3 ans sont en autre pour ne pas avoir à collecter à chaque année et aussi, car pour obtenir le meilleur prix les contrats sont sur 3 ans ou 2 ans donc, je devrais assumer les dépenses et serais remboursé seulement après la 3e saison du cycle de 3 ans. Je vous aime, mais malheureusement pour vous, j'aime l'argent aussi!!!😂 De plus, et même devrais-je dire SURTOUT, pour que ce soit un commitment de votre part..... vous vous engagez pour les 3 prochaines année.
Nous sommes conscients que nous allons surement dire au revoir à 1 ou 2 confrères a l'ouverture de la saison. Nous avons aussi 3 club de libre en ce moment. Le début de saison devrait amener de nouvelles voix dans la ligue. Essayons de rendre notre ligue plus vivante que jamais afin de nous donner l'élan nécessaire pour que l'on soit encore là dans 13 ans avec encore une belle gang de passionné !
Bonne saison ( à ceux qui auront payé et fait leur présentation 😏)
# | 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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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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