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 |
# | Nom du Joueur | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Charles Hudon | X | X | 100.00 | 82 | 44 | 99 | 74 | 66 | 59 | 64 | 64 | 33 | 57 | 58 | 54 | 75 | 59 | 59 | 62 | 50 | 0 | 0 | |||
2 | Eric Cornel (R) | X | X | 100.00 | 79 | 72 | 96 | 64 | 72 | 79 | 86 | 56 | 70 | 47 | 58 | 66 | 55 | 51 | 51 | 62 | 50 | 0 | 0 | |||
3 | Nicolas Roy | X | 100.00 | 79 | 45 | 90 | 68 | 78 | 59 | 82 | 62 | 72 | 64 | 71 | 63 | 25 | 47 | 47 | 69 | 50 | 0 | 0 | ||||
4 | Kevin Stenlund (R) | X | X | 100.00 | 67 | 43 | 91 | 65 | 80 | 66 | 81 | 75 | 54 | 61 | 71 | 61 | 25 | 47 | 47 | 69 | 50 | 0 | 0 | |||
5 | Nick Moutrey (R) | X | 100.00 | 81 | 80 | 82 | 65 | 80 | 69 | 74 | 49 | 61 | 46 | 47 | 64 | 45 | 44 | 44 | 56 | 50 | 0 | 0 | ||||
6 | Rasmus Asplund (R) | X | X | X | 100.00 | 69 | 42 | 92 | 68 | 64 | 57 | 86 | 61 | 55 | 57 | 56 | 85 | 25 | 46 | 46 | 65 | 50 | 0 | 0 | ||
7 | Tyler Benson (R) | X | 100.00 | 73 | 70 | 79 | 71 | 70 | 75 | 78 | 63 | 50 | 66 | 57 | 63 | 54 | 44 | 44 | 64 | 50 | 0 | 0 | ||||
8 | Paul Bittner (R) | X | 100.00 | 80 | 80 | 79 | 68 | 80 | 66 | 70 | 51 | 50 | 47 | 51 | 64 | 48 | 44 | 44 | 57 | 50 | 0 | 0 | ||||
9 | Sonny Milano | X | X | 100.00 | 65 | 42 | 86 | 83 | 73 | 64 | 63 | 66 | 25 | 74 | 64 | 59 | 25 | 52 | 53 | 67 | 50 | 0 | 0 | |||
10 | Antoine Morand (R) | X | 100.00 | 71 | 66 | 83 | 67 | 66 | 70 | 75 | 50 | 63 | 49 | 47 | 59 | 45 | 44 | 44 | 55 | 45 | 0 | 0 | ||||
11 | Connor Dewar (R) | X | X | 100.00 | 70 | 63 | 87 | 65 | 63 | 69 | 73 | 54 | 68 | 53 | 50 | 60 | 48 | 44 | 44 | 57 | 50 | 0 | 0 | |||
12 | Brendan Guhle | X | 100.00 | 69 | 42 | 89 | 75 | 69 | 71 | 75 | 57 | 25 | 50 | 54 | 74 | 25 | 58 | 58 | 63 | 50 | 0 | 0 | ||||
13 | Cale Fleury (R) | X | 100.00 | 90 | 46 | 94 | 77 | 74 | 64 | 73 | 53 | 25 | 39 | 47 | 69 | 25 | 47 | 47 | 59 | 50 | 0 | 0 | ||||
14 | Mirco Mueller | X | 100.00 | 78 | 57 | 86 | 68 | 79 | 72 | 69 | 59 | 25 | 49 | 48 | 90 | 25 | 60 | 61 | 63 | 50 | 0 | 0 | ||||
15 | Slater Koekkoek | X | 100.00 | 80 | 44 | 72 | 76 | 72 | 70 | 59 | 63 | 25 | 55 | 47 | 80 | 25 | 57 | 58 | 62 | 50 | 0 | 0 | ||||
16 | Mike Reilly | X | 100.00 | 73 | 43 | 84 | 78 | 73 | 75 | 68 | 73 | 25 | 66 | 47 | 67 | 25 | 60 | 60 | 63 | 50 | 0 | X | 0 | |||
17 | Devon Toews | X | 100.00 | 71 | 42 | 91 | 80 | 68 | 81 | 87 | 78 | 25 | 65 | 50 | 65 | 63 | 62 | 63 | 65 | 50 | 0 | 0 | ||||
Rayé | ||||||||||||||||||||||||||
1 | Pascal Laberge (R) | X | 100.00 | 70 | 65 | 82 | 64 | 65 | 52 | 51 | 56 | 70 | 46 | 61 | 60 | 58 | 44 | 44 | 59 | 50 | 0 | 0 | ||||
2 | Michael McCarron | X | X | 100.00 | 78 | 88 | 53 | 65 | 88 | 61 | 62 | 59 | 74 | 50 | 62 | 66 | 59 | 49 | 49 | 61 | 50 | 0 | 0 | |||
3 | Gabriel Carlsson | X | 100.00 | 79 | 75 | 89 | 78 | 75 | 69 | 75 | 50 | 25 | 42 | 41 | 65 | 39 | 52 | 52 | 56 | 50 | 0 | 0 | ||||
4 | Ryan Collins (R) | X | 100.00 | 82 | 81 | 84 | 52 | 81 | 55 | 57 | 48 | 25 | 38 | 42 | 64 | 40 | 44 | 44 | 53 | 50 | 0 | 0 | ||||
5 | Markus Nutivaara | X | 100.00 | 73 | 43 | 96 | 82 | 71 | 68 | 76 | 62 | 25 | 52 | 49 | 59 | 25 | 62 | 63 | 60 | 50 | 0 | X | 0 | |||
MOYENNE D'ÉQUIPE | 100.00 | 75 | 58 | 86 | 71 | 73 | 67 | 72 | 60 | 44 | 53 | 54 | 66 | 40 | 51 | 51 | 61 | 50 | 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 |
# | Nom du Gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Calvin Pickard | 100.00 | 54 | 58 | 73 | 77 | 53 | 58 | 52 | 58 | 57 | 56 | 30 | 57 | 57 | 56 | 50 | 0 | 0 | |
2 | Oscar Dansk | 100.00 | 60 | 68 | 85 | 79 | 58 | 65 | 56 | 64 | 61 | 60 | 30 | 44 | 44 | 61 | 50 | 0 | 0 | |
Rayé | ||||||||||||||||||||
1 | Jakub Skarek (R) | 100.00 | 49 | 52 | 65 | 79 | 47 | 48 | 50 | 54 | 48 | 48 | 30 | 44 | 44 | 50 | 50 | 0 | 0 | |
MOYENNE D'ÉQUIPE | 100.00 | 54 | 59 | 74 | 78 | 53 | 57 | 53 | 59 | 55 | 55 | 30 | 48 | 48 | 56 | 50 | 0 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Tocchet | 84 | 92 | 78 | 87 | 81 | 76 | 67 | CAN | 57 | 3 | 1,500,000$ |
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 |
# | Nom du Joueur | Nom de l'Équipe | 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 | Devon Toews | Monsters (CLB) | D | 8 | 0 | 6 | 6 | 2 | 6 | 0 | 8 | 6 | 6 | 2 | 8 | 0.00% | 2 | 192 | 24.11 | 0 | 2 | 2 | 6 | 45 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
2 | Slater Koekkoek | Monsters (CLB) | D | 8 | 1 | 3 | 4 | 1 | 12 | 0 | 16 | 11 | 9 | 3 | 6 | 11.11% | 13 | 166 | 20.84 | 1 | 1 | 2 | 9 | 37 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
3 | Nicolas Roy | Monsters (CLB) | C | 8 | 0 | 3 | 3 | 0 | 12 | 0 | 14 | 11 | 5 | 4 | 7 | 0.00% | 2 | 159 | 19.88 | 0 | 3 | 3 | 2 | 39 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 56.76% | 148 | 0 | 0 | 0 | 0 | 0.38 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
4 | Kevin Stenlund | Monsters (CLB) | C/RW | 8 | 3 | 0 | 3 | 1 | 0 | 0 | 2 | 7 | 14 | 4 | 4 | 21.43% | 2 | 158 | 19.81 | 2 | 0 | 2 | 5 | 39 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 61.64% | 73 | 0 | 0 | 0 | 0 | 0.38 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 |
5 | Mike Reilly | Monsters (CLB) | D | 8 | 0 | 3 | 3 | 2 | 0 | 0 | 14 | 3 | 8 | 3 | 7 | 0.00% | 4 | 191 | 23.95 | 0 | 0 | 0 | 8 | 43 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Sonny Milano | Monsters (CLB) | LW/RW | 8 | 2 | 1 | 3 | 1 | 4 | 0 | 3 | 14 | 12 | 4 | 12 | 16.67% | 1 | 177 | 22.22 | 1 | 1 | 2 | 6 | 38 | 0 | 0 | 0 | 0 | 27 | 1 | 1 | 33.33% | 36 | 0 | 0 | 0 | 0 | 0.34 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 |
7 | Drake Caggiula | Blue Jackets | LW/RW | 4 | 2 | 0 | 2 | 2 | 8 | 0 | 12 | 6 | 9 | 2 | 6 | 22.22% | 0 | 89 | 22.26 | 0 | 0 | 0 | 3 | 13 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 38.46% | 39 | 0 | 0 | 0 | 0 | 0.45 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 0 |
8 | Mirco Mueller | Monsters (CLB) | D | 8 | 1 | 1 | 2 | 1 | 2 | 0 | 4 | 10 | 7 | 2 | 4 | 14.29% | 7 | 170 | 21.25 | 1 | 0 | 1 | 6 | 38 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Tyler Benson | Monsters (CLB) | LW | 8 | 1 | 1 | 2 | -2 | 0 | 0 | 5 | 17 | 4 | 2 | 7 | 25.00% | 0 | 125 | 15.69 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 10 | 1 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
10 | Charles Hudon | Monsters (CLB) | LW/RW | 8 | 0 | 1 | 1 | -2 | 6 | 0 | 11 | 5 | 11 | 0 | 9 | 0.00% | 0 | 145 | 18.15 | 0 | 1 | 1 | 3 | 40 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 22.22% | 9 | 0 | 0 | 0 | 0 | 0.14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Rasmus Asplund | Monsters (CLB) | C/LW/RW | 8 | 1 | 0 | 1 | -2 | 4 | 0 | 8 | 15 | 10 | 2 | 12 | 10.00% | 0 | 135 | 16.98 | 0 | 0 | 0 | 3 | 41 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 51.52% | 66 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
12 | Paul Bittner | Monsters (CLB) | LW | 8 | 1 | 0 | 1 | -1 | 8 | 0 | 8 | 11 | 2 | 0 | 2 | 50.00% | 1 | 121 | 15.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13 | Brendan Guhle | Monsters (CLB) | D | 8 | 0 | 0 | 0 | -4 | 2 | 0 | 1 | 8 | 3 | 0 | 2 | 0.00% | 5 | 122 | 15.36 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Cale Fleury | Monsters (CLB) | D | 8 | 0 | 0 | 0 | -3 | 27 | 5 | 16 | 8 | 4 | 0 | 3 | 0.00% | 1 | 124 | 15.56 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Eric Cornel | Monsters (CLB) | C/RW | 8 | 0 | 0 | 0 | 0 | 4 | 0 | 9 | 11 | 1 | 3 | 6 | 0.00% | 0 | 140 | 17.51 | 0 | 0 | 0 | 1 | 29 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 58.62% | 58 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Nick Moutrey | Monsters (CLB) | C | 8 | 0 | 0 | 0 | -2 | 2 | 0 | 9 | 8 | 2 | 0 | 1 | 0.00% | 1 | 84 | 10.62 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 49.21% | 63 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Antoine Morand | Monsters (CLB) | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 20 | 5.05 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Connor Dewar | Monsters (CLB) | C/LW | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 0 | 0 | 0.00% | 0 | 31 | 3.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71.43% | 14 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 136 | 12 | 19 | 31 | -6 | 97 | 5 | 141 | 154 | 109 | 31 | 96 | 11.01% | 39 | 2357 | 17.34 | 5 | 8 | 13 | 55 | 435 | 0 | 0 | 0 | 0 | 241 | 3 | 1 | 52.33% | 516 | 0 | 0 | 0 | 0 | 0.26 | 3 | 7 | 0 | 0 | 0 | 3 | 5 | 2 |
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 |
# | Nom du Gardien | Nom de l'Équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Oscar Dansk | Monsters (CLB) | 8 | 5 | 3 | 0 | 0.893 | 1.96 | 490 | 0 | 2 | 16 | 150 | 0 | 0 | 0 | 0.857 | 7 | 8 | 0 | 2 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 8 | 5 | 3 | 0 | 0.893 | 1.96 | 490 | 0 | 2 | 16 | 150 | 0 | 0 | 0 | 0.857 | 7 | 8 | 0 | 2 | 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 |
Nom du Joueur | Nom de l'Équipe | POS | Âge | Date de Naissance | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Type | Salaire Actuel | Salaire Restant | Salaire Moyen | Salaire Moyen Restant | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Antoine Morand | Monsters (CLB) | C | 21 | 1999-02-18 | Yes | 185 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 927,500$ | 830,262$ | 927,500$ | 830,262$ | 0$ | 0$ | No | 927,500$ | 927,500$ | ||||||||
Brendan Guhle | Monsters (CLB) | D | 22 | 1997-07-29 | No | 186 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 946,083$ | 846,897$ | 888,833$ | 795,649$ | 0$ | 0$ | No | 888,833$ | 888,833$ | Lien | |||||||
Cale Fleury | Monsters (CLB) | D | 21 | 1998-11-19 | Yes | 203 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 883,333$ | 790,726$ | 883,333$ | 790,726$ | 0$ | 0$ | No | 883,333$ | 883,333$ | ||||||||
Calvin Pickard | Monsters (CLB) | G | 28 | 1992-04-14 | No | 207 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 895,161$ | 1,000,000$ | 895,161$ | 0$ | 0$ | No | Lien | |||||||||
Charles Hudon | Monsters (CLB) | LW/RW | 26 | 1994-06-23 | No | 188 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 650,000$ | 581,855$ | 725,000$ | 648,992$ | 0$ | 0$ | No | 650,000$ | 650,000$ | Lien | |||||||
Connor Dewar | Monsters (CLB) | C/LW | 21 | 1999-06-26 | Yes | 176 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 925,000$ | 828,024$ | 925,000$ | 828,024$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Devon Toews | Monsters (CLB) | D | 26 | 1994-02-20 | No | 181 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 700,000$ | 626,613$ | 700,000$ | 626,613$ | 0$ | 0$ | No | 700,000$ | Lien | ||||||||
Eric Cornel | Monsters (CLB) | C/RW | 24 | 1996-04-11 | Yes | 194 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 925,000$ | 828,024$ | 925,000$ | 828,024$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Gabriel Carlsson | Monsters (CLB) | D | 23 | 1997-01-02 | No | 192 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 894,166$ | 800,423$ | 894,166$ | 800,423$ | 0$ | 0$ | No | 894,166$ | Lien | ||||||||
Jakub Skarek | Monsters (CLB) | G | 20 | 1999-11-10 | Yes | 196 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 927,500$ | 830,262$ | 927,500$ | 830,262$ | 0$ | 0$ | No | 927,500$ | 927,500$ | ||||||||
Kevin Stenlund | Monsters (CLB) | C/RW | 23 | 1996-09-20 | Yes | 210 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 925,000$ | 828,024$ | 925,000$ | 828,024$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Markus Nutivaara | Monsters (CLB) | D | 26 | 1994-06-06 | No | 191 Lbs | 6 ft1 | No | Yes | No | 3 | Pro & Farm | 2,700,000$ | 2,416,935$ | 2,700,000$ | 2,416,935$ | 0$ | 0$ | No | 2,700,000$ | 2,700,000$ | Lien | |||||||
Michael McCarron | Monsters (CLB) | C/RW | 25 | 1995-03-06 | No | 231 Lbs | 6 ft6 | No | No | No | 1 | Pro & Farm | 1,075,833$ | 963,044$ | 1,075,833$ | 963,044$ | 0$ | 0$ | No | Lien | |||||||||
Mike Reilly | Monsters (CLB) | D | 26 | 1993-07-12 | No | 195 Lbs | 6 ft2 | No | Yes | No | 3 | Pro & Farm | 1,500,000$ | 1,342,742$ | 1,500,000$ | 1,342,742$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | Lien | |||||||
Mirco Mueller | Monsters (CLB) | D | 25 | 1995-03-21 | No | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,400,000$ | 1,253,226$ | 1,400,000$ | 1,253,226$ | 0$ | 0$ | No | Lien | |||||||||
Nick Moutrey | Monsters (CLB) | C | 25 | 1995-06-23 | Yes | 218 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 925,000$ | 828,024$ | 925,000$ | 828,024$ | 0$ | 0$ | No | 925,000$ | |||||||||
Nicolas Roy | Monsters (CLB) | C | 23 | 1997-02-05 | No | 208 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 815,000$ | 729,556$ | 815,000$ | 729,556$ | 0$ | 0$ | No | Lien | |||||||||
Oscar Dansk | Monsters (CLB) | G | 26 | 1994-02-28 | No | 195 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 675,000$ | 604,234$ | 675,000$ | 604,234$ | 0$ | 0$ | No | 675,000$ | Lien | ||||||||
Pascal Laberge | Monsters (CLB) | C | 22 | 1998-04-08 | Yes | 173 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 863,333$ | 772,822$ | 863,333$ | 772,822$ | 0$ | 0$ | No | 863,333$ | 863,333$ | ||||||||
Paul Bittner | Monsters (CLB) | LW | 23 | 1996-11-03 | Yes | 214 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 863,333$ | 772,822$ | 863,333$ | 772,822$ | 0$ | 0$ | No | 863,333$ | 863,333$ | ||||||||
Rasmus Asplund | Monsters (CLB) | C/LW/RW | 22 | 1997-12-02 | Yes | 176 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 925,000$ | 828,024$ | 925,000$ | 828,024$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Ryan Collins | Monsters (CLB) | D | 24 | 1996-05-06 | Yes | 212 Lbs | 6 ft5 | No | No | No | 3 | Pro & Farm | 925,000$ | 828,024$ | 925,000$ | 828,024$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Slater Koekkoek | Monsters (CLB) | D | 26 | 1994-02-18 | No | 193 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 800,000$ | 716,129$ | 800,000$ | 716,129$ | 0$ | 0$ | No | Lien | |||||||||
Sonny Milano | Monsters (CLB) | LW/RW | 24 | 1996-05-11 | No | 195 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,263,333$ | 1,130,887$ | 1,263,333$ | 1,130,887$ | 0$ | 0$ | No | Lien | |||||||||
Tyler Benson | Monsters (CLB) | LW | 22 | 1998-03-15 | Yes | 192 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 863,333$ | 772,822$ | 863,333$ | 772,822$ | 0$ | 0$ | No | 863,333$ | 863,333$ |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
25 | 23.76 | 197 Lbs | 6 ft2 | 2.36 | 1,011,910$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Sonny Milano | Nicolas Roy | Kevin Stenlund | 35 | 1 | 2 | 2 |
2 | Charles Hudon | Rasmus Asplund | Eric Cornel | 30 | 1 | 2 | 2 |
3 | Tyler Benson | Nick Moutrey | Paul Bittner | 25 | 1 | 2 | 2 |
4 | Paul Bittner | Connor Dewar | Sonny Milano | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Devon Toews | Mike Reilly | 35 | 1 | 2 | 2 | |
2 | Mirco Mueller | Slater Koekkoek | 30 | 1 | 2 | 2 | |
3 | Brendan Guhle | Cale Fleury | 25 | 1 | 2 | 2 | |
4 | Devon Toews | Mike Reilly | 10 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Sonny Milano | Nicolas Roy | Kevin Stenlund | 60 | 1 | 2 | 2 |
2 | Charles Hudon | Rasmus Asplund | Eric Cornel | 40 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Devon Toews | Mike Reilly | 60 | 1 | 2 | 2 | |
2 | Mirco Mueller | Slater Koekkoek | 40 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Sonny Milano | Nicolas Roy | 60 | 1 | 2 | 2 |
2 | Kevin Stenlund | Charles Hudon | 40 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Devon Toews | Mike Reilly | 60 | 1 | 2 | 2 |
2 | Mirco Mueller | Slater Koekkoek | 40 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | Sonny Milano | 60 | 1 | 2 | 2 | Devon Toews | Mike Reilly | 60 | 1 | 2 | 2 |
2 | Nicolas Roy | 40 | 1 | 2 | 2 | Mirco Mueller | Slater Koekkoek | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Sonny Milano | Nicolas Roy | 60 | 1 | 2 | 2 |
2 | Kevin Stenlund | Charles Hudon | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Devon Toews | Mike Reilly | 60 | 1 | 2 | 2 |
2 | Mirco Mueller | Slater Koekkoek | 40 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Sonny Milano | Nicolas Roy | Kevin Stenlund | Devon Toews | Mike Reilly |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Sonny Milano | Nicolas Roy | Kevin Stenlund | Devon Toews | Mike Reilly |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Antoine Morand, Tyler Benson, Nick Moutrey | Antoine Morand, Tyler Benson | Nick Moutrey |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Brendan Guhle, Cale Fleury, Mirco Mueller | Brendan Guhle | Cale Fleury, Mirco Mueller |
Tirs de Pénalité |
---|
Sonny Milano, Nicolas Roy, Kevin Stenlund, Charles Hudon, Rasmus Asplund |
Gardien |
---|
#1 : Oscar Dansk, #2 : Calvin Pickard |
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 |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Équipe | 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 | Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 5 | 3 | 12 | 30 | 30 | 47 | 9 | 26 | 6 | 10 | 15 | 9 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% | 198 | 133 | 188 | 62 | 103 | 53 |
2 | Marlies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 5 | 2 | 5 | 3 | 20 | 30 | 30 | 47 | 9 | 13 | 8 | 14 | 18 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% | 198 | 133 | 188 | 62 | 103 | 53 |
3 | Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 1 | 2 | 0 | 1 | 5 | 2 | 5 | 3 | 11 | 30 | 30 | 47 | 9 | 12 | 3 | 23 | 17 | 10 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% | 198 | 133 | 188 | 62 | 103 | 53 |
4 | Phantoms | 5 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 11 | 12 | -1 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 6 | 0.600 | 11 | 14 | 25 | 0 | 1 | 5 | 2 | 5 | 3 | 66 | 30 | 30 | 47 | 9 | 99 | 22 | 50 | 91 | 27 | 5 | 18.52% | 24 | 5 | 79.17% | 0 | 97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% | 198 | 133 | 188 | 62 | 103 | 53 |
Total | 8 | 3 | 3 | 0 | 0 | 0 | 2 | 0 | 14 | 16 | -2 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 10 | 0.625 | 14 | 19 | 33 | 0 | 2 | 5 | 2 | 5 | 3 | 109 | 30 | 30 | 47 | 9 | 150 | 39 | 97 | 141 | 52 | 5 | 9.62% | 39 | 8 | 79.49% | 0 | 97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% | 198 | 133 | 188 | 62 | 103 | 53 | |
_Since Last GM Reset | 8 | 3 | 3 | 0 | 0 | 0 | 2 | 0 | 14 | 16 | -2 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 10 | 0.625 | 14 | 19 | 33 | 0 | 2 | 5 | 2 | 5 | 3 | 109 | 30 | 30 | 47 | 9 | 150 | 39 | 97 | 141 | 52 | 5 | 9.62% | 39 | 8 | 79.49% | 0 | 97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% | 198 | 133 | 188 | 62 | 103 | 53 | |
_Vs Conference | 8 | 3 | 3 | 0 | 0 | 0 | 2 | 0 | 14 | 16 | -2 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 10 | 0.625 | 14 | 19 | 33 | 0 | 2 | 5 | 2 | 5 | 3 | 109 | 30 | 30 | 47 | 9 | 150 | 39 | 97 | 141 | 52 | 5 | 9.62% | 39 | 8 | 79.49% | 0 | 97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% | 198 | 133 | 188 | 62 | 103 | 53 | |
_Vs Division | 6 | 2 | 2 | 0 | 0 | 0 | 2 | 0 | 12 | 12 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 8 | 0.667 | 12 | 15 | 27 | 0 | 2 | 5 | 2 | 5 | 3 | 77 | 30 | 30 | 47 | 9 | 111 | 25 | 73 | 108 | 37 | 5 | 13.51% | 28 | 5 | 82.14% | 0 | 97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% | 198 | 133 | 188 | 62 | 103 | 53 |
Total Pour les Joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs Joués | Points | Séquence | Buts | Passes | Points | Tirs Pour | Tirs Contre | Tirs Bloqués | Minutes de Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
8 | 10 | W2 | 14 | 19 | 33 | 109 | 150 | 39 | 97 | 141 | 0 | 2 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
8 | 3 | 3 | 0 | 0 | 2 | 0 | 14 | 16 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 2 | 1 | 0 | 0 | 1 | 0 | 8 | 7 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 1 | 2 | 0 | 0 | 1 | 0 | 6 | 9 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 3 | 0 | 0 | 0 | 0 |
Tentatives en Avantage Numérique | Buts en Avantage Numérique | % en Avantage Numérique | Tentatives en Désavantage Numérique | Buts Contre en Désavantage Numérique | % en Désavantage Numérique | Buts Pour en Désavantage Numérique |
---|---|---|---|---|---|---|
52 | 5 | 9.62% | 39 | 8 | 79.49% | 0 |
Tirs en 1e Période | Tirs en 2e Période | Tirs en 3e Période | Tirs en 4e Période | Buts en 1e Période | Buts en 2e Période | Buts en 3e Période | Buts en 4e Période |
---|---|---|---|---|---|---|---|
30 | 30 | 47 | 9 | 5 | 2 | 5 | 3 |
Mises en Jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en Zone Offensive | Total en Zone Offensive | % Gagnées en Zone Offensive | Gagnées en Zone Défensive | Total en Zone Défensive | % Gagnées en Zone Défensive | Gagnées en Zone Neutre | Total en Zone Neutre | % Gagnées en Zone Neutre |
97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% |
Temps Avec la Rondelle | |||||
---|---|---|---|---|---|
En Zone Offensive | Contrôle en Zone Offensive | En Zone Défensive | Contrôle en Zone Défensive | En Zone Neutre | Contrôle en Zone Neutre |
198 | 133 | 188 | 62 | 103 | 53 |
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 |
Jour | Match | Équipe Visiteuse | Score | Équipe Locale | Score | ST | OT | SO | RI | Lien |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2020-09-27 | 10 | Marlies | 1 | Monsters | 2 | W | Sommaire du Match | |||
2 - 2020-09-28 | 13 | Monsters | 1 | Phantoms | 3 | L | Sommaire du Match | |||
4 - 2020-09-30 | 30 | Phantoms | 3 | Monsters | 1 | L | Sommaire du Match | |||
5 - 2020-10-01 | 37 | Monsters | 4 | Phantoms | 3 | W | X | X | Sommaire du Match | |
6 - 2020-10-02 | 47 | Phantoms | 0 | Monsters | 1 | W | Sommaire du Match | |||
9 - 2020-10-05 | 63 | Monsters | 0 | Bruins | 3 | L | Sommaire du Match | |||
10 - 2020-10-06 | 73 | Monsters | 1 | Penguins | 0 | W | Sommaire du Match | |||
12 - 2020-10-08 | 82 | Phantoms | 3 | Monsters | 4 | W | X | X | Sommaire du Match | |
14 - 2020-10-10 | 91 | Monsters | - | Wolf Pack | - | |||||
16 - 2020-10-12 | 104 | Phantoms | - | Monsters | - | |||||
18 - 2020-10-14 | 116 | Monsters | - | Sound Tigers | - | |||||
20 - 2020-10-16 | 124 | Penguins | - | Monsters | - | |||||
22 - 2020-10-18 | 137 | Monsters | - | Phantoms | - | |||||
23 - 2020-10-19 | 146 | Sound Tigers | - | Monsters | - | |||||
24 - 2020-10-20 | 159 | Stars | - | Monsters | - | |||||
26 - 2020-10-22 | 178 | Phantoms | - | Monsters | - | |||||
27 - 2020-10-23 | 182 | Monsters | - | Flames | - | |||||
28 - 2020-10-24 | 190 | Monsters | - | Phantoms | - | |||||
30 - 2020-10-26 | 202 | Sound Tigers | - | Monsters | - | |||||
32 - 2020-10-28 | 216 | Phantoms | - | Monsters | - | |||||
34 - 2020-10-30 | 222 | Monsters | - | Admirals | - | |||||
37 - 2020-11-02 | 238 | Monsters | - | Penguins | - | |||||
38 - 2020-11-03 | 248 | Monsters | - | Penguins | - | |||||
40 - 2020-11-05 | 258 | Senators | - | Monsters | - | |||||
43 - 2020-11-08 | 274 | Bruins | - | Monsters | - | |||||
45 - 2020-11-10 | 290 | Sound Tigers | - | Monsters | - | |||||
46 - 2020-11-11 | 295 | Monsters | - | Wolf Pack | - | |||||
48 - 2020-11-13 | 309 | Monsters | - | Wolf Pack | - | |||||
49 - 2020-11-14 | 317 | Crunch | - | Monsters | - | |||||
50 - 2020-11-15 | 329 | Monsters | - | Bruins | - | |||||
51 - 2020-11-16 | 336 | Monsters | - | Penguins | - | |||||
52 - 2020-11-17 | 347 | Wolf Pack | - | Monsters | - | |||||
54 - 2020-11-19 | 362 | Wolf Pack | - | Monsters | - | |||||
55 - 2020-11-20 | 376 | Crunch | - | Monsters | - | |||||
56 - 2020-11-21 | 383 | Monsters | - | Crunch | - | |||||
57 - 2020-11-22 | 391 | Monsters | - | Griffins | - | |||||
58 - 2020-11-23 | 403 | Sharks | - | Monsters | - | |||||
59 - 2020-11-24 | 409 | Monsters | - | Stars | - | |||||
61 - 2020-11-26 | 426 | Penguins | - | Monsters | - | |||||
63 - 2020-11-28 | 436 | Monsters | - | Sound Tigers | - | |||||
64 - 2020-11-29 | 449 | Phantoms | - | Monsters | - | |||||
66 - 2020-12-01 | 464 | Moose | - | Monsters | - | |||||
67 - 2020-12-02 | 473 | Monsters | - | Stars | - | |||||
68 - 2020-12-03 | 485 | Stars | - | Monsters | - | |||||
71 - 2020-12-06 | 500 | Monsters | - | Condors | - | |||||
72 - 2020-12-07 | 510 | Condors | - | Monsters | - | |||||
73 - 2020-12-08 | 519 | Monsters | - | Sound Tigers | - | |||||
74 - 2020-12-09 | 530 | Monarchs | - | Monsters | - | |||||
77 - 2020-12-12 | 549 | Monsters | - | Bruins | - | |||||
78 - 2020-12-13 | 555 | Flames | - | Monsters | - | |||||
79 - 2020-12-14 | 567 | Monsters | - | Moose | - | |||||
80 - 2020-12-15 | 576 | Senators | - | Monsters | - | |||||
82 - 2020-12-17 | 589 | Monsters | - | Senators | - | |||||
84 - 2020-12-19 | 598 | Marlies | - | Monsters | - | |||||
86 - 2020-12-21 | 613 | Monsters | - | Sound Tigers | - | |||||
87 - 2020-12-22 | 622 | Griffins | - | Monsters | - | |||||
88 - 2020-12-23 | 634 | Monsters | - | Flames | - | |||||
90 - 2020-12-25 | 644 | Admirals | - | Monsters | - | |||||
92 - 2020-12-27 | 659 | Monsters | - | Sharks | - | |||||
93 - 2020-12-28 | 665 | Rocket | - | Monsters | - | |||||
95 - 2020-12-30 | 681 | Monsters | - | Rampage | - | |||||
96 - 2020-12-31 | 690 | Bruins | - | Monsters | - | |||||
97 - 2021-01-01 | 705 | Wolf Pack | - | Monsters | - | |||||
98 - 2021-01-02 | 712 | Monsters | - | Wolf Pack | - | |||||
100 - 2021-01-04 | 728 | Sound Tigers | - | Monsters | - | |||||
101 - 2021-01-05 | 741 | Monsters | - | Marlies | - | |||||
102 - 2021-01-06 | 747 | Penguins | - | Monsters | - | |||||
104 - 2021-01-08 | 758 | Monsters | - | IceHogs | - | |||||
105 - 2021-01-09 | 772 | Rampage | - | Monsters | - | |||||
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
106 - 2021-01-10 | 780 | Monsters | - | Monarchs | - | |||||
108 - 2021-01-12 | 793 | Penguins | - | Monsters | - | |||||
110 - 2021-01-14 | 813 | Wolves | - | Monsters | - | |||||
111 - 2021-01-15 | 818 | Monsters | - | Soldiers | - | |||||
113 - 2021-01-17 | 837 | IceHogs | - | Monsters | - | |||||
114 - 2021-01-18 | 840 | Monsters | - | Rocket | - | |||||
116 - 2021-01-20 | 858 | Soldiers | - | Monsters | - | |||||
117 - 2021-01-21 | 860 | Monsters | - | Phantoms | - | |||||
118 - 2021-01-22 | 874 | Monsters | - | Griffins | - | |||||
119 - 2021-01-23 | 882 | Wolf Pack | - | Monsters | - | |||||
120 - 2021-01-24 | 883 | Monsters | - | Phantoms | - | |||||
121 - 2021-01-25 | 888 | Monsters | - | Rocket | - | |||||
122 - 2021-01-26 | 901 | Monsters | - | Wolves | - |
Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité de l'Aréna | 2000 | 1000 |
Prix des Billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
37 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
425,675$ | 2,529,773$ | 2,531,548$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 268,414$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 111 | 32,498$ | 3,607,278$ |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | 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 |
2020 | 8 | 3 | 3 | 0 | 0 | 0 | 2 | 0 | 14 | 16 | -2 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 10 | 14 | 19 | 33 | 0 | 2 | 5 | 2 | 5 | 3 | 109 | 30 | 30 | 47 | 9 | 150 | 39 | 97 | 141 | 52 | 5 | 9.62% | 39 | 8 | 79.49% | 0 | 97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% | 198 | 133 | 188 | 62 | 103 | 53 |
Total Saison Régulière | 8 | 3 | 3 | 0 | 0 | 0 | 2 | 0 | 14 | 16 | -2 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 10 | 14 | 19 | 33 | 0 | 2 | 5 | 2 | 5 | 3 | 109 | 30 | 30 | 47 | 9 | 150 | 39 | 97 | 141 | 52 | 5 | 9.62% | 39 | 8 | 79.49% | 0 | 97 | 192 | 50.52% | 114 | 212 | 53.77% | 59 | 112 | 52.68% | 198 | 133 | 188 | 62 | 103 | 53 |