Toronto Marlies | |
GP: 10 | W: 6 | L: 4 GF: 25 | GA: 23 | PP%: 28.57% | PK%: 81.82% GM : Dale Lautner | Morale : 62 | Team Overall : 61 |
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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 | Eric Robinson | 0 | X | 100.00 | 80 | 43 | 91 | 75 | 82 | 84 | 85 | 79 | 47 | 73 | 71 | 75 | 75 | 74 | 64 | 0 | 78 | 71 | 0 | 28 | 2 | 1,600,000$ | ||||
2 | Taylor Raddysh | 0 | X | X | 100.00 | 76 | 47 | 91 | 76 | 83 | 85 | 77 | 81 | 54 | 75 | 76 | 70 | 78 | 57 | 50 | 0 | 77 | 71 | 0 | 25 | 2 | 775,000$ | |||
3 | Mason Appleton | 0 | X | X | 100.00 | 66 | 43 | 78 | 74 | 81 | 86 | 77 | 75 | 43 | 72 | 66 | 71 | 72 | 69 | 59 | 0 | 84 | 68 | 0 | 27 | 3 | 1,150,000$ | |||
4 | Alex Formenton | 0 | X | 100.00 | 66 | 67 | 75 | 88 | 67 | 92 | 95 | 73 | 55 | 55 | 69 | 64 | 55 | 55 | 67 | 0 | 83 | 67 | 0 | 24 | 2 | 775,000$ | ||||
5 | Austin Czarnik | 0 | X | 100.00 | 60 | 43 | 75 | 74 | 65 | 78 | 73 | 67 | 65 | 62 | 61 | 62 | 67 | 73 | 63 | 0 | 81 | 63 | 0 | 31 | 2 | 775,000$ | ||||
6 | Dominic Toninato | 0 | X | 100.00 | 66 | 43 | 74 | 70 | 68 | 71 | 73 | 66 | 61 | 62 | 62 | 66 | 66 | 63 | 53 | 0 | 84 | 62 | 0 | 29 | 1 | 925,000$ | ||||
7 | Ridly Greig (R) (A) | 0 | X | X | 100.00 | 65 | 44 | 69 | 71 | 74 | 78 | 60 | 67 | 58 | 66 | 62 | 63 | 67 | 51 | 50 | 0 | 83 | 62 | 0 | 21 | 1 | 775,000$ | |||
8 | Cedric Paquette | 0 | X | X | 100.00 | 90 | 51 | 67 | 82 | 64 | 72 | 87 | 60 | 55 | 47 | 50 | 63 | 55 | 70 | 70 | 0 | 84 | 61 | 0 | 30 | 1 | 1,400,000$ | |||
9 | Ben Jones (R) | 0 | X | 100.00 | 65 | 52 | 62 | 71 | 62 | 66 | 65 | 66 | 61 | 64 | 60 | 67 | 66 | 52 | 50 | 0 | 86 | 61 | 0 | 24 | 1 | 775,000$ | ||||
10 | Matej Blumel (R) | 0 | X | 100.00 | 62 | 40 | 71 | 68 | 64 | 62 | 62 | 64 | 42 | 62 | 60 | 61 | 64 | 51 | 50 | 0 | 84 | 58 | 0 | 23 | 1 | 775,000$ | ||||
11 | Jamieson Rees (R) | 0 | X | 100.00 | 56 | 53 | 58 | 70 | 58 | 62 | 62 | 63 | 59 | 63 | 56 | 54 | 63 | 50 | 50 | 0 | 84 | 57 | 0 | 22 | 2 | 839,167$ | ||||
12 | Danila Klimovich (R) | 0 | X | 100.00 | 67 | 46 | 64 | 68 | 67 | 57 | 56 | 62 | 41 | 56 | 58 | 62 | 63 | 50 | 50 | 0 | 82 | 57 | 0 | 20 | 4 | 886,667$ | ||||
13 | Ozzy Wiesblatt (R) | 0 | X | 100.00 | 61 | 40 | 66 | 68 | 62 | 60 | 60 | 59 | 41 | 56 | 55 | 60 | 61 | 50 | 50 | 0 | 80 | 56 | 0 | 21 | 1 | 775,000$ | ||||
14 | Ryan Suzuki (R) | 0 | X | 100.00 | 57 | 45 | 68 | 68 | 62 | 61 | 60 | 61 | 57 | 59 | 56 | 54 | 61 | 50 | 50 | 0 | 80 | 56 | 0 | 22 | 3 | 863,333$ | ||||
15 | John Beecher (R) | 0 | X | 100.00 | 67 | 52 | 63 | 62 | 69 | 61 | 60 | 59 | 51 | 57 | 53 | 59 | 59 | 50 | 50 | 0 | 39 | 56 | 0 | 22 | 5 | 925,000$ | ||||
16 | Ben Harpur | 0 | X | 100.00 | 70 | 58 | 72 | 68 | 91 | 83 | 80 | 69 | 40 | 64 | 61 | 70 | 66 | 79 | 69 | 0 | 82 | 68 | 0 | 28 | 1 | 1,150,000$ | ||||
17 | Ryan Murray (A) | 0 | X | 100.00 | 58 | 43 | 77 | 71 | 82 | 83 | 76 | 67 | 40 | 63 | 60 | 66 | 66 | 84 | 74 | 0 | 83 | 66 | 0 | 30 | 3 | 775,000$ | ||||
18 | Cale Fleury | 0 | X | 100.00 | 67 | 47 | 71 | 71 | 79 | 78 | 67 | 66 | 40 | 62 | 59 | 67 | 65 | 61 | 54 | 0 | 84 | 64 | 0 | 25 | 1 | 775,000$ | ||||
19 | Mark Pysyk | 0 | X | 100.00 | 58 | 43 | 72 | 65 | 68 | 75 | 76 | 64 | 40 | 59 | 55 | 68 | 61 | 85 | 72 | 0 | 84 | 63 | 0 | 31 | 1 | 850,000$ | ||||
20 | Alec Regula | 0 | X | 100.00 | 66 | 51 | 58 | 67 | 69 | 61 | 60 | 63 | 40 | 61 | 55 | 67 | 62 | 50 | 50 | 0 | 77 | 59 | 0 | 23 | 2 | 866,667$ | ||||
21 | Fredrik Claesson | 0 | X | 100.00 | 52 | 35 | 95 | 82 | 60 | 65 | 64 | 55 | 40 | 40 | 50 | 60 | 40 | 73 | 67 | 0 | 80 | 59 | 0 | 31 | 1 | 775,000$ | ||||
22 | David Farrance (R) | 0 | X | 100.00 | 59 | 44 | 70 | 69 | 63 | 64 | 63 | 61 | 40 | 61 | 53 | 63 | 61 | 52 | 50 | 0 | 80 | 58 | 0 | 24 | 2 | 925,000$ | ||||
23 | Matthew Robertson (R) | 0 | X | 100.00 | 62 | 53 | 66 | 66 | 68 | 62 | 62 | 63 | 40 | 59 | 54 | 64 | 61 | 50 | 50 | 0 | 80 | 58 | 0 | 22 | 2 | 797,500$ | ||||
24 | Ville Pokka | 0 | X | 100.00 | 61 | 35 | 75 | 71 | 63 | 51 | 62 | 49 | 50 | 53 | 52 | 55 | 40 | 73 | 58 | 0 | 83 | 56 | 0 | 29 | 1 | 775,000$ | ||||
25 | Jesse Blacker | 0 | X | 100.00 | 53 | 35 | 75 | 74 | 64 | 59 | 68 | 53 | 50 | 50 | 54 | 52 | 40 | 73 | 58 | 0 | 39 | 56 | 0 | 32 | 1 | 775,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
1 | Joachim Blichfeld (R) | 0 | X | X | 100.00 | 59 | 35 | 75 | 78 | 54 | 66 | 66 | 54 | 50 | 51 | 53 | 51 | 50 | 60 | 48 | 0 | 19 | 55 | 0 | 25 | 3 | 933,333$ | |||
2 | Chase Lang (R) | 0 | X | X | 100.00 | 56 | 55 | 55 | 55 | 57 | 58 | 58 | 55 | 50 | 55 | 55 | 55 | 55 | 65 | 68 | 0 | 19 | 54 | 0 | 27 | 1 | 775,000$ | |||
3 | Zac Rinaldo | 0 | X | X | 100.00 | 61 | 35 | 75 | 73 | 60 | 66 | 67 | 51 | 45 | 50 | 50 | 51 | 46 | 60 | 48 | 0 | 19 | 54 | 0 | 33 | 1 | 775,000$ | |||
4 | Filip Sandberg | 0 | X | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 35 | 45 | 45 | 45 | 45 | 45 | 0 | 19 | 42 | 0 | 29 | 1 | 775,000$ | |||
5 | Jesse Graham | 0 | X | 100.00 | 50 | 45 | 45 | 45 | 46 | 45 | 47 | 45 | 25 | 45 | 45 | 45 | 25 | 54 | 54 | 0 | 20 | 45 | 0 | 29 | 1 | 775,000$ | ||||
TEAM AVERAGE | 100.00 | 63 | 46 | 70 | 70 | 67 | 68 | 67 | 62 | 48 | 58 | 57 | 61 | 59 | 61 | 56 | 0 | 69 | 59 |
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 | Pavel Francouz | 0 | 100.00 | 83 | 76 | 75 | 73 | 78 | 81 | 81 | 82 | 82 | 79 | 79 | 69 | 62 | 0 | 76 | 75 | 0 | 33 | 2 | 2,000,000$ | |
2 | Alex Stalock | 0 | 100.00 | 74 | 79 | 77 | 67 | 76 | 76 | 73 | 75 | 76 | 75 | 75 | 83 | 76 | 0 | 81 | 73 | 0 | 36 | 2 | 775,000$ | |
Scratches | ||||||||||||||||||||||||
1 | Ilya Konovalov (R) | 0 | 100.00 | 75 | 75 | 75 | 79 | 84 | 67 | 71 | 67 | 66 | 70 | 48 | 71 | 72 | 0 | 72 | 70 | 0 | 25 | 2 | 842,500$ | |
2 | Marek Langhamer | 0 | 100.00 | 75 | 75 | 75 | 82 | 78 | 70 | 68 | 67 | 70 | 68 | 46 | 66 | 68 | 0 | 25 | 70 | 0 | 29 | 1 | 900,000$ | |
3 | Philippe Desrosiers | 0 | 100.00 | 61 | 59 | 57 | 64 | 59 | 55 | 54 | 53 | 54 | 59 | 57 | 54 | 50 | 0 | 25 | 55 | 0 | 28 | 3 | 775,000$ | |
TEAM AVERAGE | 100.00 | 74 | 73 | 72 | 73 | 75 | 70 | 69 | 69 | 70 | 70 | 61 | 69 | 66 | 0 | 56 | 69 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | 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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1 | Eric Robinson | Toronto Marlies (TOR) | LW | 10 | 5 | 6 | 11 | -3 | 0 | 0 | 16 | 15 | 38 | 10 | 14 | 13.16% | 6 | 221 | 22.15 | 1 | 2 | 3 | 3 | 18 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 30.77% | 13 | 13 | 7 | 0 | 0 | 0.99 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
2 | Mason Appleton | Toronto Marlies (TOR) | C/RW | 10 | 4 | 6 | 10 | -3 | 4 | 0 | 22 | 26 | 29 | 6 | 18 | 13.79% | 7 | 247 | 24.80 | 1 | 0 | 1 | 1 | 18 | 0 | 0 | 0 | 0 | 7 | 1 | 1 | 45.49% | 233 | 6 | 4 | 1 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
3 | Taylor Raddysh | Toronto Marlies (TOR) | LW/RW | 10 | 3 | 6 | 9 | -3 | 0 | 0 | 18 | 12 | 23 | 10 | 20 | 13.04% | 2 | 215 | 21.59 | 1 | 2 | 3 | 5 | 18 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 54.55% | 11 | 14 | 8 | 0 | 0 | 0.83 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
4 | Austin Czarnik | Toronto Marlies (TOR) | C | 10 | 3 | 4 | 7 | 3 | 5 | 5 | 8 | 18 | 28 | 10 | 21 | 10.71% | 5 | 189 | 18.90 | 1 | 1 | 2 | 3 | 13 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 57.14% | 119 | 7 | 10 | 0 | 0 | 0.74 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 |
5 | Ben Harpur | Toronto Marlies (TOR) | D | 10 | 1 | 6 | 7 | 1 | 0 | 0 | 9 | 20 | 17 | 2 | 2 | 5.88% | 17 | 271 | 27.15 | 1 | 2 | 3 | 1 | 20 | 0 | 0 | 0 | 0 | 10 | 1 | 0 | 0% | 0 | 10 | 8 | 0 | 0 | 0.52 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6 | Ridly Greig | Toronto Marlies (TOR) | C/LW | 10 | 2 | 3 | 5 | 3 | 7 | 5 | 12 | 19 | 28 | 4 | 20 | 7.14% | 4 | 191 | 19.16 | 0 | 1 | 1 | 1 | 13 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 70.00% | 10 | 7 | 6 | 0 | 0 | 0.52 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
7 | Danila Klimovich | Toronto Marlies (TOR) | RW | 10 | 3 | 1 | 4 | 3 | 9 | 5 | 15 | 10 | 9 | 3 | 6 | 33.33% | 3 | 182 | 18.24 | 1 | 0 | 1 | 1 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 8 | 6 | 3 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
8 | Cale Fleury | Toronto Marlies (TOR) | D | 10 | 0 | 4 | 4 | -2 | 0 | 0 | 3 | 5 | 8 | 2 | 3 | 0% | 9 | 192 | 19.27 | 0 | 1 | 1 | 1 | 12 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0% | 0 | 4 | 5 | 0 | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Jamieson Rees | Toronto Marlies (TOR) | C | 10 | 2 | 1 | 3 | -1 | 7 | 5 | 13 | 16 | 12 | 4 | 6 | 16.67% | 3 | 163 | 16.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 44.26% | 61 | 3 | 3 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
10 | Ben Jones | Toronto Marlies (TOR) | C | 10 | 1 | 1 | 2 | -2 | 9 | 5 | 12 | 18 | 17 | 7 | 12 | 5.88% | 5 | 139 | 13.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.00% | 60 | 2 | 2 | 0 | 0 | 0.29 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
11 | Mark Pysyk | Toronto Marlies (TOR) | D | 10 | 0 | 2 | 2 | -3 | 2 | 0 | 9 | 12 | 6 | 4 | 2 | 0% | 8 | 241 | 24.12 | 0 | 1 | 1 | 4 | 20 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0% | 0 | 1 | 3 | 0 | 0 | 0.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Dominic Toninato | Toronto Marlies (TOR) | C | 10 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 8 | 2 | 0 | 2 | 50.00% | 0 | 41 | 4.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Ryan Murray | Toronto Marlies (TOR) | D | 10 | 0 | 1 | 1 | 2 | 0 | 0 | 7 | 13 | 14 | 2 | 1 | 0% | 10 | 224 | 22.41 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 0% | 0 | 4 | 7 | 0 | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Cedric Paquette | Toronto Marlies (TOR) | C/LW | 10 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 1 | 3 | 2 | 1 | 0% | 1 | 31 | 3.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Ville Pokka | Toronto Marlies (TOR) | D | 10 | 0 | 0 | 0 | -1 | 2 | 0 | 4 | 6 | 1 | 1 | 1 | 0% | 1 | 144 | 14.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Alec Regula | Toronto Marlies (TOR) | D | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 6 | 0.62 | 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 |
17 | Alex Formenton | Toronto Marlies (TOR) | LW | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0% | 0 | 16 | 1.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | David Farrance | Toronto Marlies (TOR) | D | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 1 | 0.15 | 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 |
19 | Fredrik Claesson | Toronto Marlies (TOR) | D | 10 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 9 | 1 | 1 | 0 | 0% | 6 | 139 | 13.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20 | Matej Blumel | Toronto Marlies (TOR) | LW | 10 | 0 | 0 | 0 | -1 | 2 | 0 | 17 | 9 | 11 | 4 | 4 | 0% | 3 | 164 | 16.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 12 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21 | Ozzy Wiesblatt | Toronto Marlies (TOR) | RW | 10 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 7 | 0.80 | 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 |
Team Total or Average | 210 | 25 | 41 | 66 | -10 | 47 | 25 | 171 | 218 | 248 | 73 | 134 | 10.08% | 90 | 3034 | 14.45 | 6 | 10 | 16 | 20 | 164 | 0 | 0 | 0 | 1 | 72 | 6 | 1 | 46.88% | 529 | 92 | 69 | 1 | 0 | 0.43 | 0 | 0 | 1 | 1 | 3 | 5 | 5 | 3 |
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 | Pavel Francouz | Toronto Marlies (TOR) | 10 | 6 | 4 | 0 | 0.918 | 2.18 | 578 | 0 | 2 | 21 | 257 | 120 | 0 | 1 | 0 | 0 | 10 | 0 | 1 | 1 | 1 |
2 | Alex Stalock | Toronto Marlies (TOR) | 1 | 0 | 0 | 0 | 0.923 | 2.00 | 30 | 0 | 0 | 1 | 13 | 9 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 |
Team Total or Average | 11 | 6 | 4 | 0 | 0.919 | 2.17 | 608 | 0 | 2 | 22 | 270 | 129 | 0 | 1 | 0 | 10 | 10 | 1 | 1 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contrat Signature Date | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
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Alec Regula | Toronto Marlies (TOR) | D | 23 | 8/6/2000 | No | 207 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | Pro & Farm | 866,667$ | 0$ | 0$ | No | 866,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Alex Formenton | Toronto Marlies (TOR) | LW | 24 | 9/13/1999 | No | 195 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Alex Stalock | Toronto Marlies (TOR) | G | 36 | 7/28/1987 | No | 170 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Austin Czarnik | Toronto Marlies (TOR) | C | 31 | 12/12/1992 | No | 170 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Ben Harpur | Toronto Marlies (TOR) | D | 28 | 1/12/1995 | No | 231 Lbs | 6 ft6 | No | No | N/A | No | No | 1 | Pro & Farm | 1,150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||
Ben Jones | Toronto Marlies (TOR) | C | 24 | 2/26/1999 | Yes | 187 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Cale Fleury | Toronto Marlies (TOR) | D | 25 | 11/19/1998 | No | 204 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||
Cedric Paquette | Toronto Marlies (TOR) | C/LW | 30 | 8/13/1993 | No | 205 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 1,400,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Chase Lang | Toronto Marlies (TOR) | C/RW | 27 | 9/13/1996 | Yes | 187 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Danila Klimovich | Toronto Marlies (TOR) | RW | 20 | 1/9/2003 | Yes | 203 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | Pro & Farm | 886,667$ | 0$ | 0$ | No | 886,667$ | 886,667$ | 886,667$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
David Farrance | Toronto Marlies (TOR) | D | 24 | 6/23/1999 | Yes | 192 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Dominic Toninato | Toronto Marlies (TOR) | C | 29 | 3/9/1994 | No | 192 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Eric Robinson | Toronto Marlies (TOR) | LW | 28 | 6/14/1995 | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 1,600,000$ | 0$ | 0$ | No | 1,600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Filip Sandberg | Toronto Marlies (TOR) | C/RW | 29 | 7/23/1994 11:23:08 AM | No | 190 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Fredrik Claesson | Toronto Marlies (TOR) | D | 31 | 11/24/1992 | No | 196 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Ilya Konovalov | Toronto Marlies (TOR) | G | 25 | 7/13/1998 | Yes | 194 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 842,500$ | 0$ | 0$ | No | 842,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Jamieson Rees | Toronto Marlies (TOR) | C | 22 | 2/26/2001 | Yes | 172 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | Pro & Farm | 839,167$ | 0$ | 0$ | No | 839,167$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jesse Blacker | Toronto Marlies (TOR) | D | 32 | 4/19/1991 | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Jesse Graham | Toronto Marlies (TOR) | D | 29 | 5/13/1994 | No | 184 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Joachim Blichfeld | Toronto Marlies (TOR) | LW/RW | 25 | 7/17/1998 | Yes | 180 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | Pro & Farm | 933,333$ | 0$ | 0$ | No | 933,333$ | 933,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
John Beecher | Toronto Marlies (TOR) | C | 22 | 4/5/2001 | Yes | 209 Lbs | 6 ft3 | No | No | N/A | No | No | 5 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | 925,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |||
Marek Langhamer | Toronto Marlies (TOR) | G | 29 | 7/22/1994 | No | 193 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 900,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Mark Pysyk | Toronto Marlies (TOR) | D | 31 | 1/11/1992 | No | 198 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Mason Appleton | Toronto Marlies (TOR) | C/RW | 27 | 1/15/1996 | No | 197 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | Pro & Farm | 1,150,000$ | 0$ | 0$ | No | 1,150,000$ | 1,150,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | ||
Matej Blumel | Toronto Marlies (TOR) | LW | 23 | 5/31/2000 | Yes | 198 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Matthew Robertson | Toronto Marlies (TOR) | D | 22 | 3/9/2001 | Yes | 201 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | Pro & Farm | 797,500$ | 0$ | 0$ | No | 797,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Ozzy Wiesblatt | Toronto Marlies (TOR) | RW | 21 | 3/9/2002 | Yes | 183 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Pavel Francouz | Toronto Marlies (TOR) | G | 33 | 6/3/1990 | No | 179 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 2,000,000$ | 0$ | 0$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Philippe Desrosiers | Toronto Marlies (TOR) | G | 28 | 8/16/1995 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Ridly Greig | Toronto Marlies (TOR) | C/LW | 21 | 8/8/2002 | Yes | 183 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ryan Murray | Toronto Marlies (TOR) | D | 30 | 9/27/1993 | No | 206 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | ||
Ryan Suzuki | Toronto Marlies (TOR) | C | 22 | 5/28/2001 | Yes | 176 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | 863,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Taylor Raddysh | Toronto Marlies (TOR) | LW/RW | 25 | 2/18/1998 | No | 198 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Ville Pokka | Toronto Marlies (TOR) | D | 29 | 6/3/1994 | No | 214 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Zac Rinaldo | Toronto Marlies (TOR) | C/LW | 33 | 6/15/1990 | No | 192 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
35 | 26.80 | 194 Lbs | 6 ft1 | 1.80 | 908,690$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Eric Robinson | Mason Appleton | Taylor Raddysh | 40 | 1 | 2 | 2 |
2 | Ridly Greig | Austin Czarnik | Danila Klimovich | 30 | 1 | 2 | 2 |
3 | Matej Blumel | Ben Jones | Jamieson Rees | 20 | 1 | 2 | 2 |
4 | Matej Blumel | Jamieson Rees | Mason Appleton | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Mark Pysyk | Ben Harpur | 40 | 1 | 2 | 2 | |
2 | Ryan Murray | Cale Fleury | 30 | 1 | 2 | 2 | |
3 | Ville Pokka | Fredrik Claesson | 20 | 1 | 2 | 2 | |
4 | Ryan Murray | Ben Harpur | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Eric Robinson | Mason Appleton | Taylor Raddysh | 60 | 1 | 2 | 2 |
2 | Ridly Greig | Austin Czarnik | Danila Klimovich | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Mark Pysyk | Ben Harpur | 60 | 1 | 2 | 2 | |
2 | Ryan Murray | Cale Fleury | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Mason Appleton | Alex Formenton | 60 | 1 | 2 | 2 |
2 | Austin Czarnik | Eric Robinson | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Mark Pysyk | Ben Harpur | 60 | 1 | 2 | 2 |
2 | Ryan Murray | Cale Fleury | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Mason Appleton | 60 | 1 | 2 | 2 | Mark Pysyk | Ben Harpur | 60 | 1 | 2 | 2 |
2 | Austin Czarnik | 40 | 1 | 2 | 2 | Ryan Murray | Cale Fleury | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Mason Appleton | Eric Robinson | 60 | 1 | 2 | 2 |
2 | Ridly Greig | Taylor Raddysh | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Mark Pysyk | Ben Harpur | 60 | 1 | 2 | 2 |
2 | Ryan Murray | Cale Fleury | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Eric Robinson | Mason Appleton | Taylor Raddysh | Ryan Murray | Ben Harpur |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Eric Robinson | Mason Appleton | Taylor Raddysh | Ryan Murray | Ben Harpur |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Ridly Greig, Dominic Toninato, Cedric Paquette | Ridly Greig, Dominic Toninato | Ridly Greig |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Mark Pysyk, Ryan Murray, Ville Pokka | Mark Pysyk | Mark Pysyk, Ben Harpur |
Penalty Shots |
---|
Mason Appleton, Taylor Raddysh, Alex Formenton, Eric Robinson, Ridly Greig |
Goalie |
---|
#1 : Pavel Francouz, #2 : Alex Stalock |
Custom OT Lines Forwards |
---|
Mason Appleton, Taylor Raddysh, Alex Formenton, Austin Czarnik, Ridly Greig, Dominic Toninato, Dominic Toninato, Cedric Paquette, Ben Jones, Matej Blumel, Danila Klimovich |
Custom OT Lines Defensemen |
---|
Ville Pokka, Ben Harpur, Ryan Murray, Cale Fleury, Mark Pysyk |
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 | Chicago Wolves | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 18 | -3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 4 | 0.333 | 15 | 27 | 42 | 1 | 0 | 2 | 9 | 11 | 3 | 146 | 61 | 100 | 75 | 12 | 182 | 55 | 36 | 99 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 0 | 94 | 206 | 45.63% | 95 | 193 | 49.22% | 59 | 130 | 45.38% | 189 | 89 | 202 | 102 | 218 | 110 |
2 | Rockford IceHogs | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 8 | 1.000 | 10 | 14 | 24 | 0 | 2 | 2 | 9 | 11 | 3 | 102 | 61 | 100 | 75 | 12 | 89 | 35 | 11 | 72 | 11 | 5 | 45.45% | 3 | 0 | 100.00% | 0 | 94 | 206 | 45.63% | 95 | 193 | 49.22% | 59 | 130 | 45.38% | 189 | 89 | 202 | 102 | 218 | 110 |
Total | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 25 | 23 | 2 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 12 | 0.600 | 25 | 41 | 66 | 1 | 2 | 2 | 9 | 11 | 3 | 248 | 61 | 100 | 75 | 12 | 271 | 90 | 47 | 171 | 21 | 6 | 28.57% | 11 | 2 | 81.82% | 0 | 94 | 206 | 45.63% | 95 | 193 | 49.22% | 59 | 130 | 45.38% | 189 | 89 | 202 | 102 | 218 | 110 | |
_Since Last GM Reset | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 25 | 23 | 2 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 12 | 0.600 | 25 | 41 | 66 | 1 | 2 | 2 | 9 | 11 | 3 | 248 | 61 | 100 | 75 | 12 | 271 | 90 | 47 | 171 | 21 | 6 | 28.57% | 11 | 2 | 81.82% | 0 | 94 | 206 | 45.63% | 95 | 193 | 49.22% | 59 | 130 | 45.38% | 189 | 89 | 202 | 102 | 218 | 110 | |
_Vs Conference | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 25 | 23 | 2 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 12 | 0.600 | 25 | 41 | 66 | 1 | 2 | 2 | 9 | 11 | 3 | 248 | 61 | 100 | 75 | 12 | 271 | 90 | 47 | 171 | 21 | 6 | 28.57% | 11 | 2 | 81.82% | 0 | 94 | 206 | 45.63% | 95 | 193 | 49.22% | 59 | 130 | 45.38% | 189 | 89 | 202 | 102 | 218 | 110 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
10 | 12 | L3 | 25 | 41 | 66 | 248 | 271 | 90 | 47 | 171 | 1 | 2 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 6 | 4 | 0 | 0 | 0 | 0 | 25 | 23 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 3 | 2 | 0 | 0 | 0 | 0 | 12 | 9 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 3 | 2 | 0 | 0 | 0 | 0 | 13 | 14 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
6 | 4 | 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 |
---|---|---|---|---|---|---|
21 | 6 | 28.57% | 11 | 2 | 81.82% | 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 |
---|---|---|---|---|---|---|---|
61 | 100 | 75 | 12 | 2 | 9 | 11 | 3 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
94 | 206 | 45.63% | 95 | 193 | 49.22% | 59 | 130 | 45.38% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
189 | 89 | 202 | 102 | 218 | 110 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|---|---|---|---|---|---|---|---|---|---|
1 | 7 | Rockford IceHogs | 0 | Toronto Marlies | 1 | BW | BoxScore | |||
2 | 15 | Rockford IceHogs | 3 | Toronto Marlies | 4 | BW | X | BoxScore | ||
3 | 23 | Toronto Marlies | 2 | Rockford IceHogs | 0 | AW | BoxScore | |||
4 | 31 | Toronto Marlies | 3 | Rockford IceHogs | 2 | AW | X | BoxScore | ||
8 | 60 | Toronto Marlies | 3 | Chicago Wolves | 2 | AW | X | BoxScore | ||
9 | 64 | Toronto Marlies | 2 | Chicago Wolves | 5 | AL | BoxScore | |||
10 | 68 | Chicago Wolves | 1 | Toronto Marlies | 5 | BW | BoxScore | |||
11 | 72 | Chicago Wolves | 3 | Toronto Marlies | 1 | BL | BoxScore | |||
12 | 76 | Toronto Marlies | 3 | Chicago Wolves | 5 | AL | BoxScore | |||
13 | 80 | Chicago Wolves | 2 | Toronto Marlies | 1 | BL | BoxScore |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 40 | 20 |
Attendance | 0 | 0 |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 3,180,417$ | 2,911,250$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
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 |
---|
# | 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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