Marlies | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : LedTasso | Morale : 40 | Team Overall : 59 Next Games #7 vs Rocket |
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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 Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Seth Griffith | 0 | X | X | 100.00 | 70 | 43 | 75 | 63 | 79 | 60 | 52 | 70 | 60 | 72 | 67 | 56 | 64 | 68 | 75 | 0 | 40 | 62 | 0 | 29 | 2 | 1,000,000$ | |||
2 | Gabriel Dumont | 0 | X | 100.00 | 50 | 45 | 75 | 61 | 78 | 60 | 53 | 63 | 60 | 66 | 65 | 62 | 63 | 74 | 79 | 0 | 40 | 60 | 0 | 32 | 2 | 1,000,000$ | ||||
3 | Jayson Megna (C) | 0 | X | 100.00 | 77 | 44 | 79 | 60 | 83 | 62 | 50 | 62 | 72 | 67 | 61 | 63 | 61 | 70 | 77 | 0 | 40 | 60 | 0 | 32 | 1 | 1,000,000$ | ||||
4 | Brendan Perlini | 0 | X | 100.00 | 76 | 48 | 77 | 57 | 87 | 64 | 44 | 62 | 46 | 63 | 68 | 61 | 64 | 56 | 67 | 0 | 40 | 59 | 0 | 26 | 1 | 1,800,000$ | ||||
5 | Michael Sgarbossa (A) | 0 | X | 100.00 | 59 | 40 | 77 | 62 | 79 | 60 | 39 | 61 | 83 | 66 | 64 | 60 | 62 | 62 | 71 | 0 | 40 | 59 | 0 | 30 | 1 | 875,000$ | ||||
6 | Mitchell Chaffee (R) (A) | 0 | X | 100.00 | 99 | 45 | 75 | 59 | 84 | 60 | 45 | 62 | 40 | 64 | 66 | 58 | 63 | 51 | 64 | 0 | 40 | 59 | 0 | 24 | 1 | 925,000$ | ||||
7 | Ben McCartney (R) | 0 | X | 100.00 | 99 | 51 | 74 | 61 | 79 | 60 | 49 | 59 | 46 | 64 | 63 | 60 | 62 | 51 | 64 | 0 | 40 | 58 | 0 | 21 | 3 | 850,000$ | ||||
8 | Cole Koepke (R) | 0 | X | 100.00 | 50 | 43 | 75 | 60 | 78 | 60 | 47 | 59 | 40 | 63 | 63 | 62 | 62 | 52 | 62 | 0 | 40 | 57 | 0 | 24 | 1 | 850,000$ | ||||
9 | Dylan McLaughlin | 0 | X | 100.00 | 50 | 42 | 75 | 59 | 80 | 60 | 33 | 62 | 60 | 68 | 61 | 62 | 61 | 53 | 63 | 0 | 40 | 57 | 0 | 27 | 1 | 800,000$ | ||||
10 | Bobby McMann (R) | 0 | X | X | X | 100.00 | 50 | 46 | 75 | 54 | 84 | 60 | 43 | 58 | 40 | 62 | 64 | 62 | 62 | 53 | 63 | 0 | 40 | 56 | 0 | 26 | 4 | 812,500$ | ||
11 | Cole Fonstad (R) | 0 | X | 100.00 | 50 | 39 | 75 | 59 | 77 | 60 | 23 | 57 | 40 | 63 | 60 | 62 | 60 | 51 | 61 | 0 | 40 | 55 | 0 | 22 | 2 | 850,000$ | ||||
12 | Luke Johnson | 0 | X | 100.00 | 50 | 45 | 75 | 58 | 79 | 60 | 10 | 57 | 60 | 64 | 58 | 62 | 59 | 57 | 66 | 0 | 40 | 54 | 0 | 28 | 2 | 850,000$ | ||||
13 | Dean Kukan | 0 | X | 100.00 | 71 | 43 | 89 | 64 | 82 | 78 | 58 | 72 | 20 | 66 | 65 | 72 | 63 | 56 | 65 | 0 | 40 | 64 | 0 | 29 | 1 | 1,500,000$ | ||||
14 | Jake Christiansen | 0 | X | 100.00 | 73 | 42 | 76 | 60 | 80 | 60 | 54 | 74 | 20 | 67 | 66 | 64 | 63 | 51 | 61 | 0 | 40 | 61 | 0 | 23 | 1 | 700,000$ | ||||
15 | Artemi Kniazev (R) | 0 | X | 100.00 | 70 | 40 | 75 | 59 | 78 | 60 | 50 | 70 | 20 | 65 | 62 | 63 | 61 | 51 | 61 | 0 | 40 | 59 | 0 | 21 | 3 | 850,000$ | ||||
16 | Reilly Walsh (R) | 0 | X | 100.00 | 50 | 41 | 75 | 58 | 80 | 60 | 55 | 72 | 20 | 68 | 62 | 68 | 61 | 52 | 62 | 0 | 40 | 59 | 0 | 23 | 1 | 925,000$ | ||||
17 | Yanni Kaldis (R) | 0 | X | 100.00 | 50 | 42 | 75 | 57 | 80 | 60 | 31 | 72 | 20 | 67 | 62 | 68 | 61 | 54 | 63 | 0 | 40 | 58 | 0 | 27 | 2 | 750,000$ | ||||
18 | Nicklaus Perbix (R) | 0 | X | 100.00 | 50 | 45 | 75 | 56 | 86 | 60 | 10 | 74 | 20 | 68 | 63 | 68 | 62 | 51 | 61 | 0 | 40 | 57 | 0 | 24 | 1 | 850,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
1 | Eduards Tralmaks (R) | 0 | X | X | X | 100.00 | 50 | 47 | 75 | 53 | 88 | 60 | 31 | 58 | 40 | 63 | 62 | 62 | 61 | 51 | 61 | 0 | 40 | 55 | 0 | 25 | 2 | 750,000$ | ||
2 | Taylor Ward (R) | 0 | X | X | X | 100.00 | 50 | 47 | 75 | 54 | 86 | 60 | 10 | 60 | 40 | 66 | 60 | 62 | 60 | 51 | 61 | 0 | 40 | 55 | 0 | 24 | 1 | 750,000$ | ||
3 | Ben Tardif (R) | 0 | X | X | X | 100.00 | 50 | 44 | 75 | 53 | 81 | 60 | 46 | 53 | 40 | 61 | 57 | 62 | 59 | 55 | 63 | 0 | 40 | 54 | 0 | 22 | 2 | 750,000$ | ||
4 | Bobby Trivigno (R) | 0 | X | X | X | 100.00 | 50 | 35 | 75 | 60 | 72 | 60 | 10 | 53 | 40 | 61 | 57 | 62 | 59 | 50 | 60 | 0 | 40 | 53 | 0 | 23 | 2 | 890,000$ | ||
5 | Fedor Gordeev (R) | 0 | X | 100.00 | 50 | 55 | 75 | 43 | 97 | 60 | 47 | 63 | 20 | 60 | 57 | 68 | 59 | 51 | 61 | 0 | 40 | 57 | 0 | 23 | 1 | 750,000$ | ||||
6 | Max Martin (R) | 0 | X | 100.00 | 50 | 40 | 75 | 55 | 79 | 60 | 10 | 64 | 20 | 61 | 56 | 68 | 58 | 51 | 61 | 0 | 40 | 55 | 0 | 23 | 1 | 850,000$ | ||||
7 | Yan Kuznetsov (R) | 0 | X | 100.00 | 50 | 49 | 75 | 47 | 89 | 60 | 10 | 63 | 20 | 59 | 55 | 68 | 58 | 50 | 60 | 0 | 40 | 54 | 0 | 20 | 3 | 850,000$ | ||||
TEAM AVERAGE | 100.00 | 60 | 44 | 76 | 57 | 82 | 61 | 36 | 63 | 39 | 65 | 62 | 63 | 61 | 55 | 64 | 0 | 40 | 57 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kaapo Kahkonen | 100.00 | 80 | 81 | 78 | 86 | 84 | 84 | 82 | 85 | 84 | 82 | 83 | 71 | 69 | 0 | 40 | 79 | 0 | |
2 | Troy Grosenick | 100.00 | 68 | 66 | 63 | 84 | 73 | 71 | 71 | 73 | 72 | 70 | 71 | 84 | 75 | 0 | 40 | 70 | 0 | |
Scratches | ||||||||||||||||||||
1 | Keith Petruzzelli (R) | 100.00 | 51 | 59 | 56 | 88 | 55 | 55 | 53 | 56 | 55 | 52 | 54 | 68 | 67 | 0 | 40 | 58 | 0 | |
2 | Tommy Nappier (R) | 100.00 | 49 | 63 | 60 | 87 | 52 | 53 | 51 | 53 | 53 | 49 | 51 | 70 | 68 | 0 | 40 | 57 | 0 | |
TEAM AVERAGE | 100.00 | 62 | 67 | 64 | 86 | 66 | 66 | 64 | 67 | 66 | 63 | 65 | 73 | 70 | 0 | 40 | 66 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Oates | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 60 | 8 | 500,000$ |
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 | Contract | Type | Current Salary | Salary Remaining | Salary Average | Salary Ave Remaining | 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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Artemi Kniazev | Marlies (TOR) | D | 21 | 1/4/2001 | Yes | 178 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link | |||||||
Ben McCartney | Marlies (TOR) | LW | 21 | 7/13/2001 | Yes | 182 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link | |||||||
Ben Tardif | Marlies (TOR) | C/LW/RW | 22 | 1/24/2000 | Yes | 195 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Bobby McMann (1 Way Contract) | Marlies (TOR) | C/LW/RW | 26 | 6/15/1996 | Yes | 203 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 812,500$ | 803,902$ | 812,500$ | 803,902$ | 0$ | 0$ | No | 812,500$ | 812,500$ | 812,500$ | Link | ||||||
Bobby Trivigno | Marlies (TOR) | C/LW/RW | 23 | 1/19/1999 | Yes | 160 Lbs | 5 ft7 | No | No | No | 2 | Pro & Farm | 890,000$ | 880,582$ | 890,000$ | 880,582$ | 0$ | 0$ | No | 890,000$ | Link | ||||||||
Brendan Perlini | Marlies (TOR) | LW | 26 | 4/27/1996 | No | 211 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,800,000$ | 1,780,952$ | 1,800,000$ | 1,780,952$ | 0$ | 0$ | No | Link | |||||||||
Cole Fonstad | Marlies (TOR) | LW | 22 | 4/24/2000 | Yes | 176 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Link | ||||||||
Cole Koepke | Marlies (TOR) | LW | 24 | 5/17/1998 | Yes | 172 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | Link | |||||||||
Dean Kukan (1 Way Contract) | Marlies (TOR) | D | 29 | 7/8/1993 | No | 190 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,500,000$ | 1,484,127$ | 1,500,000$ | 1,484,127$ | 375,000$ | 371,032$ | No | Link | |||||||||
Dylan McLaughlin | Marlies (TOR) | C | 27 | 6/5/1995 | No | 187 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | Link | |||||||||
Eduards Tralmaks | Marlies (TOR) | C/LW/RW | 25 | 2/17/1997 | Yes | 209 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Fedor Gordeev | Marlies (TOR) | D | 23 | 1/27/1999 | Yes | 240 Lbs | 6 ft7 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Gabriel Dumont | Marlies (TOR) | C | 32 | 10/6/1990 | No | 180 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 989,418$ | 1,000,000$ | 989,418$ | 0$ | 0$ | No | 1,000,000$ | Link | ||||||||
Jake Christiansen | Marlies (TOR) | D | 23 | 9/12/1999 | No | 186 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 692,593$ | 700,000$ | 692,593$ | 0$ | 0$ | No | Link | |||||||||
Jayson Megna | Marlies (TOR) | C | 32 | 2/1/1990 | No | 195 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 989,418$ | 1,000,000$ | 989,418$ | 0$ | 0$ | No | Link | |||||||||
Kaapo Kahkonen (1 Way Contract) | Marlies (TOR) | G | 26 | 8/16/1996 | No | 216 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 2,300,000$ | 2,275,661$ | 2,300,000$ | 2,275,661$ | 1,175,000$ | 1,162,566$ | No | 2,300,000$ | Link | ||||||||
Keith Petruzzelli | Marlies (TOR) | G | 23 | 7/1/1999 | Yes | 185 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Luke Johnson | Marlies (TOR) | C | 28 | 9/19/1994 | No | 179 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Link | ||||||||
Max Martin | Marlies (TOR) | D | 23 | 6/25/1999 | Yes | 181 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | Link | |||||||||
Michael Sgarbossa | Marlies (TOR) | C | 30 | 7/25/1992 | No | 179 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 875,000$ | 865,741$ | 875,000$ | 865,741$ | 0$ | 0$ | No | Link | |||||||||
Mitchell Chaffee | Marlies (TOR) | RW | 24 | 1/26/1998 | Yes | 201 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Link | |||||||||
Nicklaus Perbix | Marlies (TOR) | D | 24 | 6/15/1998 | Yes | 200 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | Link | |||||||||
Reilly Walsh | Marlies (TOR) | D | 23 | 4/21/1999 | Yes | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Link | |||||||||
Seth Griffith | Marlies (TOR) | C/RW | 29 | 1/4/1993 | No | 190 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 989,418$ | 1,000,000$ | 989,418$ | 0$ | 0$ | No | 1,000,000$ | Link | ||||||||
Taylor Ward | Marlies (TOR) | C/LW/RW | 24 | 3/31/1998 | Yes | 207 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Link | |||||||||
Tommy Nappier | Marlies (TOR) | G | 24 | 7/1/1998 | Yes | 220 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Troy Grosenick (1 Way Contract) | Marlies (TOR) | G | 33 | 7/1/1989 | No | 185 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 1,250,000$ | 1,236,772$ | 1,250,000$ | 1,236,772$ | 125,000$ | 123,677$ | No | 1,250,000$ | 1,250,000$ | Link | |||||||
Yan Kuznetsov | Marlies (TOR) | D | 20 | 3/9/2002 | Yes | 215 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Link | |||||||
Yanni Kaldis | Marlies (TOR) | D | 27 | 9/30/1995 | Yes | 187 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | 750,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
29 | 25.31 | 193 Lbs | 6 ft1 | 1.76 | 959,569$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brendan Perlini | Michael Sgarbossa | Seth Griffith | 35 | 0 | 2 | 3 |
2 | Dylan McLaughlin | Jayson Megna | Mitchell Chaffee | 30 | 0 | 2 | 3 |
3 | Ben McCartney | Gabriel Dumont | Cole Koepke | 30 | 0 | 2 | 3 |
4 | Bobby McMann | Luke Johnson | Cole Fonstad | 5 | 0 | 3 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Dean Kukan | Reilly Walsh | 40 | 0 | 3 | 2 | |
2 | Jake Christiansen | Nicklaus Perbix | 35 | 0 | 3 | 2 | |
3 | Yanni Kaldis | Artemi Kniazev | 25 | 0 | 3 | 2 | |
4 | Dean Kukan | Reilly Walsh | 0 | 0 | 3 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brendan Perlini | Michael Sgarbossa | Seth Griffith | 60 | 0 | 1 | 4 |
2 | Bobby McMann | Jayson Megna | Mitchell Chaffee | 40 | 0 | 1 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Dean Kukan | Jake Christiansen | 60 | 0 | 2 | 3 | |
2 | Reilly Walsh | Artemi Kniazev | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Jayson Megna | Dylan McLaughlin | 50 | 0 | 5 | 0 |
2 | Gabriel Dumont | Cole Koepke | 50 | 0 | 5 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Dean Kukan | Reilly Walsh | 60 | 0 | 5 | 0 |
2 | Yanni Kaldis | Nicklaus Perbix | 40 | 0 | 5 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Jayson Megna | 60 | 0 | 5 | 0 | Dean Kukan | Reilly Walsh | 60 | 0 | 5 | 0 |
2 | Gabriel Dumont | 40 | 0 | 5 | 0 | Yanni Kaldis | Nicklaus Perbix | 40 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Dylan McLaughlin | Ben McCartney | 50 | 0 | 3 | 2 |
2 | Luke Johnson | Cole Fonstad | 50 | 0 | 3 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jake Christiansen | Nicklaus Perbix | 50 | 0 | 3 | 2 |
2 | Yanni Kaldis | Artemi Kniazev | 50 | 0 | 3 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Brendan Perlini | Michael Sgarbossa | Seth Griffith | Dean Kukan | Reilly Walsh |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Dylan McLaughlin | Jayson Megna | Gabriel Dumont | Dean Kukan | Jake Christiansen |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Michael Sgarbossa, Jayson Megna, Ben McCartney | Brendan Perlini, Mitchell Chaffee | Bobby McMann |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Dean Kukan, Jake Christiansen, Yanni Kaldis | Nicklaus Perbix | Jake Christiansen, Artemi Kniazev |
Penalty Shots |
---|
Dean Kukan, Brendan Perlini, Seth Griffith, Jake Christiansen, Nicklaus Perbix |
Goalie |
---|
#1 : Kaapo Kahkonen, #2 : Troy Grosenick |
Custom OT Lines Forwards |
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Michael Sgarbossa, Brendan Perlini, Jayson Megna, Seth Griffith, Gabriel Dumont, Mitchell Chaffee, Mitchell Chaffee, , , , |
Custom OT Lines Defensemen |
---|
Dean Kukan, Reilly Walsh, Jake Christiansen, Nicklaus Perbix, Artemi Kniazev |
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 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
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 | ||||||||
---|---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|---|---|---|
6 - 2022-09-14 | 7 | Marlies | - | Rocket | - | |||||
7 - 2022-09-15 | 15 | Bears | - | Marlies | - | |||||
9 - 2022-09-17 | 30 | Senators | - | Marlies | - | |||||
11 - 2022-09-19 | 40 | Roadrunners | - | Marlies | - | |||||
14 - 2022-09-22 | 61 | Stars | - | Marlies | - | |||||
16 - 2022-09-24 | 78 | Marlies | - | Moose | - | |||||
18 - 2022-09-26 | 96 | Marlies | - | Silver Knights | - | |||||
21 - 2022-09-29 | 119 | Marlies | - | Barracuda | - | |||||
23 - 2022-10-01 | 130 | Marlies | - | Reign | - | |||||
24 - 2022-10-02 | 142 | Marlies | - | Gulls | - | |||||
27 - 2022-10-05 | 159 | Phantoms | - | Marlies | - | |||||
30 - 2022-10-08 | 180 | Bruins | - | Marlies | - | |||||
31 - 2022-10-09 | 191 | Marlies | - | Wolves | - | |||||
33 - 2022-10-11 | 201 | Silver Knights | - | Marlies | - | |||||
36 - 2022-10-14 | 221 | Penguins | - | Marlies | - | |||||
37 - 2022-10-15 | 230 | Canucks | - | Marlies | - | |||||
40 - 2022-10-18 | 251 | Marlies | - | Penguins | - | |||||
42 - 2022-10-20 | 264 | Comets | - | Marlies | - | |||||
44 - 2022-10-22 | 277 | Americans | - | Marlies | - | |||||
46 - 2022-10-24 | 295 | Islanders | - | Marlies | - | |||||
48 - 2022-10-26 | 309 | Marlies | - | Comets | - | |||||
50 - 2022-10-28 | 321 | Marlies | - | Wild | - | |||||
51 - 2022-10-29 | 335 | Marlies | - | Penguins | - | |||||
53 - 2022-10-31 | 348 | Marlies | - | Griffins | - | |||||
55 - 2022-11-02 | 363 | Barracuda | - | Marlies | - | |||||
58 - 2022-11-05 | 385 | Marlies | - | Crunch | - | |||||
61 - 2022-11-08 | 409 | Marlies | - | Stars | - | |||||
63 - 2022-11-10 | 420 | Reign | - | Marlies | - | |||||
65 - 2022-11-12 | 438 | Heat | - | Marlies | - | |||||
68 - 2022-11-15 | 454 | Gulls | - | Marlies | - | |||||
70 - 2022-11-17 | 476 | Marlies | - | Wolf Pack | - | |||||
72 - 2022-11-19 | 491 | Marlies | - | Bears | - | |||||
75 - 2022-11-22 | 513 | Crunch | - | Marlies | - | |||||
77 - 2022-11-24 | 525 | Phantoms | - | Marlies | - | |||||
82 - 2022-11-29 | 553 | Marlies | - | Thunderbirds | - | |||||
84 - 2022-12-01 | 572 | Marlies | - | Roadrunners | - | |||||
86 - 2022-12-03 | 582 | Marlies | - | Eagles | - | |||||
89 - 2022-12-06 | 602 | Thunderbirds | - | Marlies | - | |||||
91 - 2022-12-08 | 615 | Firebirds | - | Marlies | - | |||||
93 - 2022-12-10 | 630 | Griffins | - | Marlies | - | |||||
94 - 2022-12-11 | 643 | Marlies | - | Phantoms | - | |||||
97 - 2022-12-14 | 658 | Admirals | - | Marlies | - | |||||
98 - 2022-12-15 | 666 | Marlies | - | Griffins | - | |||||
100 - 2022-12-17 | 683 | Marlies | - | Bruins | - | |||||
103 - 2022-12-20 | 706 | Checkers | - | Marlies | - | |||||
105 - 2022-12-22 | 723 | Moose | - | Marlies | - | |||||
107 - 2022-12-24 | 737 | Marlies | - | Rocket | - | |||||
109 - 2022-12-26 | 752 | Islanders | - | Marlies | - | |||||
111 - 2022-12-28 | 767 | Wolf Pack | - | Marlies | - | |||||
113 - 2022-12-30 | 782 | Senators | - | Marlies | - | |||||
115 - 2023-01-01 | 800 | Bears | - | Marlies | - | |||||
118 - 2023-01-04 | 806 | Bruins | - | Marlies | - | |||||
127 - 2023-01-13 | 829 | Marlies | - | Monsters | - | |||||
128 - 2023-01-14 | 840 | Monsters | - | Marlies | - | |||||
132 - 2023-01-18 | 864 | IceHogs | - | Marlies | - | |||||
135 - 2023-01-21 | 888 | Rocket | - | Marlies | - | |||||
136 - 2023-01-22 | 899 | Marlies | - | IceHogs | - | |||||
138 - 2023-01-24 | 912 | Marlies | - | Americans | - | |||||
141 - 2023-01-27 | 931 | Wild | - | Marlies | - | |||||
143 - 2023-01-29 | 952 | Marlies | - | Firebirds | - | |||||
146 - 2023-02-01 | 969 | Marlies | - | Condors | - | |||||
147 - 2023-02-02 | 979 | Marlies | - | Heat | - | |||||
149 - 2023-02-04 | 994 | Marlies | - | Canucks | - | |||||
152 - 2023-02-07 | 1015 | Marlies | - | Comets | - | |||||
156 - 2023-02-11 | 1043 | Condors | - | Marlies | - | |||||
158 - 2023-02-13 | 1061 | Americans | - | Marlies | - | |||||
160 - 2023-02-15 | 1077 | Eagles | - | Marlies | - | |||||
162 - 2023-02-17 | 1092 | Wolves | - | Marlies | - | |||||
163 - 2023-02-18 | 1102 | Marlies | - | Senators | - | |||||
166 - 2023-02-21 | 1127 | Marlies | - | Islanders | - | |||||
168 - 2023-02-23 | 1140 | Marlies | - | Checkers | - | |||||
170 - 2023-02-25 | 1161 | Marlies | - | Wolves | - | |||||
171 - 2023-02-26 | 1167 | Marlies | - | Admirals | - | |||||
174 - 2023-03-01 | 1186 | Checkers | - | Marlies | - | |||||
177 - 2023-03-04 | 1210 | Marlies | - | Senators | - | |||||
178 - 2023-03-05 | 1223 | Griffins | - | Marlies | - | |||||
180 - 2023-03-07 | 1230 | Monsters | - | Marlies | - | |||||
182 - 2023-03-09 | 1246 | Marlies | - | Bruins | - | |||||
184 - 2023-03-11 | 1263 | Rocket | - | Marlies | - | |||||
186 - 2023-03-13 | 1279 | Marlies | - | Checkers | - | |||||
187 - 2023-03-14 | 1289 | Marlies | - | Crunch | - | |||||
189 - 2023-03-16 | 1304 | Marlies | - | Wolf Pack | - |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 0.00% | 0.00% |
Attendance PCT | 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$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
23,244$ | 2,196,500$ | 2,196,500$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
11,622$ | 23,244$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 187 | 11,622$ | 2,173,314$ |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 82 | 45 | 20 | 0 | 2 | 6 | 4 | 5 | 220 | 173 | 47 | 41 | 24 | 11 | 0 | 1 | 1 | 2 | 2 | 124 | 87 | 37 | 41 | 21 | 9 | 0 | 1 | 5 | 2 | 3 | 96 | 86 | 10 | 113 | 220 | 365 | 585 | 2 | 7 | 50 | 78 | 86 | 11 | 3173 | 1020 | 1089 | 1049 | 51 | 2449 | 802 | 294 | 2069 | 108 | 34 | 31.48% | 137 | 42 | 69.34% | 0 | 1024 | 1878 | 54.53% | 930 | 1664 | 55.89% | 613 | 1056 | 58.05% | 1806 | 1032 | 1576 | 781 | 1592 | 759 |
11 | 82 | 45 | 20 | 0 | 2 | 6 | 4 | 5 | 220 | 173 | 47 | 41 | 24 | 11 | 0 | 1 | 1 | 2 | 2 | 124 | 87 | 37 | 41 | 21 | 9 | 0 | 1 | 5 | 2 | 3 | 96 | 86 | 10 | 113 | 220 | 365 | 585 | 2 | 7 | 50 | 78 | 86 | 11 | 3173 | 1020 | 1089 | 1049 | 51 | 2449 | 802 | 294 | 2069 | 108 | 34 | 31.48% | 137 | 42 | 69.34% | 0 | 1024 | 1878 | 54.53% | 930 | 1664 | 55.89% | 613 | 1056 | 58.05% | 1806 | 1032 | 1576 | 781 | 1592 | 759 |
Total Regular Season | 164 | 90 | 40 | 0 | 4 | 12 | 8 | 10 | 440 | 346 | 94 | 82 | 48 | 22 | 0 | 2 | 2 | 4 | 4 | 248 | 174 | 74 | 82 | 42 | 18 | 0 | 2 | 10 | 4 | 6 | 192 | 172 | 20 | 226 | 440 | 730 | 1170 | 4 | 14 | 100 | 156 | 172 | 22 | 6346 | 2040 | 2178 | 2098 | 102 | 4898 | 1604 | 588 | 4138 | 216 | 68 | 31.48% | 274 | 84 | 69.34% | 0 | 2048 | 3756 | 54.53% | 1860 | 3328 | 55.89% | 1226 | 2112 | 58.05% | 3612 | 2064 | 3153 | 1562 | 3184 | 1518 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 28 | 23 | 5 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 7 | 7 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 16 | -2 | 12 | 28 | 49 | 77 | 1 | 3 | 4 | 17 | 6 | 1 | 407 | 139 | 126 | 134 | 8 | 328 | 117 | 41 | 267 | 13 | 4 | 30.77% | 18 | 5 | 72.22% | 0 | 148 | 251 | 58.96% | 132 | 245 | 53.88% | 75 | 134 | 55.97% | 235 | 131 | 216 | 106 | 219 | 103 |
11 | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 28 | 23 | 5 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 7 | 7 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 16 | -2 | 12 | 28 | 49 | 77 | 1 | 3 | 4 | 17 | 6 | 1 | 407 | 139 | 126 | 134 | 8 | 328 | 117 | 41 | 267 | 13 | 4 | 30.77% | 18 | 5 | 72.22% | 0 | 148 | 251 | 58.96% | 132 | 245 | 53.88% | 75 | 134 | 55.97% | 235 | 131 | 216 | 106 | 219 | 103 |
Total Playoff | 22 | 12 | 10 | 0 | 0 | 0 | 0 | 0 | 56 | 46 | 10 | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 14 | 14 | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 28 | 32 | -4 | 24 | 56 | 98 | 154 | 2 | 6 | 8 | 34 | 12 | 2 | 814 | 278 | 252 | 268 | 16 | 656 | 234 | 82 | 534 | 26 | 8 | 30.77% | 36 | 10 | 72.22% | 0 | 296 | 502 | 58.96% | 264 | 490 | 53.88% | 150 | 268 | 55.97% | 470 | 262 | 432 | 213 | 439 | 206 |