CLEVELAND Monsters | |
GP: 68 | W: 30 | L: 35 | OTL: 3 | P: 63 GF: 302 | GA: 385 | PP%: 27.72% | PK%: 44.12% DG: Lukas Tremblay | Morale : 99 | Moyenne d’équipe : 61 Prochains matchs #891 vs SAN DIEGO Gulls |
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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 |
# | 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 | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Maxime Comtois | X | 100.00 | 78 | 87 | 68 | 70 | 80 | 67 | 80 | 68 | 51 | 63 | 66 | 67 | 53 | 63 | 63 | 68 | 99 | 69 | 0 | 23 | 1 | 1,000,000$ | ||||
2 | Otto Koivula | X | 100.00 | 80 | 81 | 77 | 71 | 81 | 73 | 76 | 61 | 76 | 55 | 62 | 67 | 59 | 46 | 46 | 65 | 99 | 66 | 0 | 24 | 2 | 800,000$ | ||||
3 | Connor Bunnaman | X | 100.00 | 76 | 75 | 78 | 68 | 75 | 76 | 81 | 56 | 70 | 46 | 61 | 64 | 58 | 49 | 49 | 62 | 99 | 64 | 0 | 24 | 2 | 750,000$ | ||||
4 | Justin Kirkland | X | 100.00 | 77 | 73 | 87 | 63 | 73 | 67 | 69 | 61 | 50 | 56 | 61 | 65 | 58 | 46 | 46 | 64 | 99 | 63 | 0 | 26 | 6 | 775,000$ | ||||
5 | Jonathan Gruden (R) | X | 100.00 | 65 | 62 | 71 | 63 | 62 | 77 | 82 | 60 | 50 | 56 | 60 | 59 | 57 | 44 | 44 | 61 | 99 | 62 | 0 | 22 | 2 | 750,000$ | ||||
6 | Nolan Stevens | X | 100.00 | 75 | 70 | 88 | 65 | 70 | 58 | 57 | 62 | 78 | 59 | 61 | 64 | 58 | 44 | 44 | 63 | 99 | 61 | 0 | 26 | 4 | 750,000$ | ||||
7 | Rourke Chartier (R) | X | 100.00 | 81 | 73 | 99 | 64 | 73 | 58 | 58 | 60 | 75 | 50 | 66 | 67 | 63 | 44 | 44 | 65 | 99 | 61 | 0 | 26 | 2 | 750,000$ | ||||
8 | Kyle Olson (R) | X | 100.00 | 66 | 64 | 72 | 63 | 64 | 55 | 58 | 47 | 50 | 44 | 44 | 56 | 42 | 44 | 44 | 51 | 99 | 53 | 0 | 23 | 2 | 750,000$ | ||||
9 | Ben Hutton | X | 100.00 | 67 | 43 | 93 | 81 | 76 | 69 | 63 | 65 | 25 | 52 | 50 | 68 | 75 | 71 | 71 | 62 | 99 | 66 | 0 | 29 | 4 | 850,000$ | ||||
10 | Lucas Carlsson | X | 100.00 | 73 | 70 | 80 | 71 | 70 | 70 | 72 | 63 | 25 | 53 | 57 | 65 | 54 | 50 | 50 | 63 | 99 | 64 | 0 | 25 | 2 | 800,000$ | ||||
11 | Mark Friedman | X | 100.00 | 88 | 75 | 81 | 73 | 69 | 65 | 58 | 61 | 25 | 48 | 48 | 74 | 25 | 52 | 53 | 61 | 99 | 62 | 0 | 26 | 1 | 750,000$ | ||||
12 | Joe Hicketts | X | 100.00 | 66 | 63 | 73 | 67 | 63 | 77 | 83 | 56 | 25 | 55 | 42 | 59 | 40 | 49 | 49 | 55 | 99 | 61 | 0 | 26 | 2 | 775,000$ | ||||
13 | Sean Day | X | 100.00 | 86 | 88 | 81 | 66 | 88 | 76 | 84 | 47 | 25 | 40 | 39 | 66 | 37 | 44 | 44 | 54 | 99 | 61 | 0 | 24 | 2 | 750,000$ | ||||
14 | Jack Rathbone (R) | X | 100.00 | 67 | 42 | 93 | 71 | 69 | 64 | 64 | 66 | 25 | 48 | 50 | 68 | 25 | 45 | 45 | 60 | 99 | 61 | 0 | 23 | 2 | 750,000$ | ||||
15 | Cameron Crotty (R) | X | 100.00 | 75 | 70 | 85 | 63 | 70 | 74 | 82 | 46 | 25 | 37 | 39 | 60 | 37 | 44 | 44 | 52 | 99 | 57 | 0 | 23 | 2 | 750,000$ | ||||
16 | James Greenway (R) | X | 100.00 | 70 | 82 | 41 | 75 | 82 | 52 | 54 | 45 | 45 | 35 | 39 | 57 | 37 | 44 | 44 | 49 | 99 | 53 | 0 | 24 | 2 | 750,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 74 | 70 | 79 | 68 | 73 | 67 | 70 | 58 | 45 | 50 | 53 | 64 | 49 | 49 | 49 | 60 | 99 | 62 |
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 | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Calvin Pickard | 100.00 | 57 | 54 | 68 | 78 | 59 | 61 | 53 | 61 | 60 | 59 | 30 | 58 | 58 | 58 | 99 | 53 | 0 | 30 | 3 | 800,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 57 | 54 | 68 | 78 | 59 | 61 | 53 | 61 | 60 | 59 | 30 | 58 | 58 | 58 | 99 | 53 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Trent Cull | 70 | 66 | 72 | 65 | 74 | 69 | 78 | CAN | 50 | 3 | 300,000$ |
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 | Rourke Chartier | CLEVELAND Monsters (STL) | C | 68 | 39 | 34 | 73 | 19 | 20 | 20 | 46 | 59 | 328 | 102 | 226 | 11.89% | 11 | 796 | 11.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 68.03% | 707 | 74 | 23 | 0 | 2 | 1.83 | 1 | 1 | 1 | 3 | 0 | 9 | 7 | 6 |
2 | Jonathan Gruden | CLEVELAND Monsters (STL) | LW | 68 | 23 | 35 | 58 | 15 | 63 | 15 | 36 | 25 | 234 | 75 | 119 | 9.83% | 14 | 692 | 10.19 | 1 | 5 | 6 | 2 | 26 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 60.71% | 28 | 50 | 15 | 0 | 1 | 1.67 | 0 | 1 | 0 | 1 | 2 | 6 | 4 | 4 |
3 | Jack Rathbone | CLEVELAND Monsters (STL) | D | 68 | 2 | 39 | 41 | -5 | 9 | 5 | 25 | 33 | 164 | 67 | 59 | 1.22% | 47 | 781 | 11.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 23 | 56 | 0 | 0 | 1.05 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 8 |
4 | Connor Bunnaman | CLEVELAND Monsters (STL) | C | 37 | 20 | 18 | 38 | 21 | 13 | 5 | 31 | 40 | 140 | 56 | 87 | 14.29% | 7 | 467 | 12.63 | 1 | 0 | 1 | 2 | 16 | 0 | 0 | 0 | 1 | 13 | 3 | 0 | 64.87% | 427 | 50 | 13 | 0 | 1 | 1.63 | 0 | 1 | 0 | 0 | 1 | 7 | 2 | 1 |
5 | Sean Day | CLEVELAND Monsters (STL) | D | 68 | 2 | 32 | 34 | -2 | 56 | 30 | 63 | 51 | 95 | 73 | 74 | 2.11% | 55 | 937 | 13.78 | 2 | 3 | 5 | 6 | 27 | 0 | 1 | 1 | 0 | 19 | 0 | 0 | 0% | 0 | 10 | 64 | 0 | 0 | 0.73 | 0 | 0 | 0 | 4 | 2 | 0 | 3 | 3 |
6 | Lucas Carlsson | CLEVELAND Monsters (STL) | D | 37 | 10 | 20 | 30 | 9 | 13 | 5 | 29 | 20 | 121 | 39 | 47 | 8.26% | 32 | 519 | 14.03 | 5 | 3 | 8 | 8 | 18 | 1 | 0 | 1 | 1 | 14 | 1 | 0 | 0% | 0 | 30 | 24 | 0 | 0 | 1.16 | 0 | 1 | 0 | 0 | 1 | 2 | 2 | 3 |
7 | Cameron Crotty | CLEVELAND Monsters (STL) | D | 68 | 0 | 20 | 20 | -7 | 34 | 30 | 41 | 28 | 56 | 33 | 31 | 0% | 22 | 765 | 11.26 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 2 | 32 | 0 | 0 | 0.52 | 1 | 1 | 1 | 2 | 3 | 0 | 2 | 3 |
8 | Dominic Turgeon | ST-LOUIS Blues | C | 14 | 9 | 10 | 19 | 10 | 2 | 0 | 12 | 22 | 76 | 23 | 63 | 11.84% | 6 | 274 | 19.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 57.60% | 125 | 21 | 17 | 0 | 0 | 1.38 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 1 |
9 | Otto Koivula | CLEVELAND Monsters (STL) | LW | 14 | 7 | 10 | 17 | 12 | 2 | 0 | 12 | 11 | 68 | 22 | 50 | 10.29% | 4 | 190 | 13.59 | 1 | 0 | 1 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 15 | 2 | 0 | 0 | 1.79 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 |
10 | Kyle Olson | CLEVELAND Monsters (STL) | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0% | 0 | 9 | 9.62 | 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 |
Statistiques d’équipe totales ou en moyenne | 443 | 112 | 218 | 330 | 72 | 212 | 110 | 298 | 289 | 1282 | 490 | 756 | 8.74% | 198 | 5435 | 12.27 | 10 | 12 | 22 | 20 | 97 | 1 | 1 | 2 | 2 | 49 | 11 | 0 | 65.89% | 1290 | 275 | 246 | 0 | 4 | 1.21 | 2 | 5 | 2 | 10 | 10 | 32 | 25 | 30 |
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 | Calvin Pickard | CLEVELAND Monsters (STL) | 37 | 24 | 11 | 2 | 0.879 | 3.37 | 2191 | 2 | 0 | 123 | 1020 | 565 | 2 | 0 | 0.833 | 6 | 37 | 37 | 2 | 3 | 1 |
Statistiques d’équipe totales ou en moyenne | 37 | 24 | 11 | 2 | 0.879 | 3.37 | 2191 | 2 | 0 | 123 | 1020 | 565 | 2 | 0 | 6 | 37 | 37 | 2 | 3 | 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 |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond 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 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Hutton | CLEVELAND Monsters (STL) | D | 29 | 1993-04-20 | No | 94 Kg | 188 CM | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 850,000$ | 163,761$ | 0$ | 0$ | No | 850,000$ | 850,000$ | 850,000$ | - | - | - | - | - | - | 850,000$ | 850,000$ | 850,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | ||
Calvin Pickard | CLEVELAND Monsters (STL) | G | 30 | 1992-04-15 | No | 95 Kg | 185 CM | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 800,000$ | 154,128$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Cameron Crotty | CLEVELAND Monsters (STL) | D | 23 | 1999-05-05 | Yes | 83 Kg | 191 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 144,495$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Connor Bunnaman | CLEVELAND Monsters (STL) | C | 24 | 1998-04-16 | No | 94 Kg | 185 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 144,495$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Jack Rathbone | CLEVELAND Monsters (STL) | D | 23 | 1999-05-20 | Yes | 86 Kg | 180 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 144,495$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
James Greenway | CLEVELAND Monsters (STL) | D | 24 | 1998-04-27 | Yes | 96 Kg | 198 CM | No | No | Trade | 2024-03-25 | No | No | 2 | False | False | Pro & Farm | 750,000$ | 144,495$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Joe Hicketts | CLEVELAND Monsters (STL) | D | 26 | 1996-05-04 | No | 82 Kg | 173 CM | No | No | N/A | No | No | 2 | 2024-01-29 | False | False | Pro & Farm | 775,000$ | 149,312$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Jonathan Gruden | CLEVELAND Monsters (STL) | LW | 22 | 2000-05-04 | Yes | 77 Kg | 183 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 144,495$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Justin Kirkland | CLEVELAND Monsters (STL) | LW | 26 | 1996-08-02 | No | 88 Kg | 191 CM | No | No | Trade | 2024-03-25 | No | No | 6 | 2024-01-22 | False | False | Pro & Farm | 775,000$ | 149,312$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | Lien / Lien NHL |
Kyle Olson | CLEVELAND Monsters (STL) | RW | 23 | 1999-03-22 | Yes | 81 Kg | 180 CM | No | No | Trade | 2024-03-25 | No | No | 2 | False | False | Pro & Farm | 750,000$ | 144,495$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Lucas Carlsson | CLEVELAND Monsters (STL) | D | 25 | 1997-07-05 | No | 86 Kg | 183 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 800,000$ | 154,128$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Mark Friedman | CLEVELAND Monsters (STL) | D | 26 | 1995-12-25 | No | 84 Kg | 180 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 144,495$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Maxime Comtois | CLEVELAND Monsters (STL) | LW | 23 | 1999-08-01 | No | 97 Kg | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 192,661$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Nolan Stevens | CLEVELAND Monsters (STL) | LW | 26 | 1996-07-22 | No | 83 Kg | 191 CM | No | No | Trade | 2024-03-25 | No | No | 4 | False | False | Pro & Farm | 750,000$ | 144,495$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | |
Otto Koivula | CLEVELAND Monsters (STL) | LW | 24 | 1998-09-01 | No | 100 Kg | 193 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 800,000$ | 154,128$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Rourke Chartier | CLEVELAND Monsters (STL) | C | 26 | 1996-04-03 | Yes | 92 Kg | 183 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 144,495$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Sean Day | CLEVELAND Monsters (STL) | D | 24 | 1998-01-09 | No | 109 Kg | 191 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 144,495$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
17 | 24.94 | 90 Kg | 185 CM | 2.41 | 782,353$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 31 | 1 | 2 | 2 | |||
2 | 26 | 1 | 2 | 2 | |||
3 | Rourke Chartier | 23 | 1 | 2 | 2 | ||
4 | Jonathan Gruden | 20 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 31 | 1 | 2 | 2 | |||
2 | Sean Day | 26 | 1 | 2 | 2 | ||
3 | Jack Rathbone | Cameron Crotty | 23 | 1 | 2 | 2 | |
4 | 20 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | |||
2 | Jonathan Gruden | 45 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 55 | 1 | 2 | 2 | |||
2 | Sean Day | 45 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Sean Day | 45 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | 55 | 1 | 2 | 2 | |||
2 | 45 | 1 | 2 | 2 | Sean Day | 45 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Sean Day | 45 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , Rourke Chartier | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jack Rathbone, Cameron Crotty, | Jack Rathbone | Jack Rathbone, Cameron Crotty |
Tirs de pénalité |
---|
, , , , |
Gardien |
---|
#1 : , #2 : |
Lignes d’attaque personnalisées en prolongation |
---|
, , , , , , , Rourke Chartier, , Jonathan Gruden, |
Lignes de défense personnalisées en prolongation |
---|
, , , Sean Day, Jack Rathbone |
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 |
Total | 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 | BAKERSFIELD Condors | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 4 | 0.667 | 7 | 11 | 18 | 0 | 0 | 63 | 108 | 130 | 2 | 103 | 744 | 677 | 791 | 6 | 116 | 38 | 31 | 40 | 8 | 1 | 12.50% | 13 | 1 | 92.31% | 1 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
2 | BELLEVILLE Senators | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 15 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 13 | 24 | 37 | 0 | 0 | 63 | 108 | 130 | 2 | 60 | 744 | 677 | 791 | 6 | 64 | 30 | 14 | 21 | 3 | 1 | 33.33% | 7 | 7 | 0.00% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
3 | BINGHAMTON Devils | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 12 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 2 | 0.500 | 13 | 23 | 36 | 0 | 0 | 63 | 108 | 130 | 2 | 69 | 744 | 677 | 791 | 6 | 64 | 26 | 22 | 28 | 6 | 3 | 50.00% | 11 | 7 | 36.36% | 1 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
4 | BRIDGEPORT Sound Tigers | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 11 | 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 4 | 0.667 | 17 | 27 | 44 | 0 | 0 | 63 | 108 | 130 | 2 | 99 | 744 | 677 | 791 | 6 | 106 | 38 | 26 | 39 | 10 | 2 | 20.00% | 8 | 4 | 50.00% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
5 | BROOKLYN Wolfpack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 10 | 17 | 27 | 0 | 0 | 63 | 108 | 130 | 2 | 54 | 744 | 677 | 791 | 6 | 43 | 17 | 4 | 38 | 4 | 1 | 25.00% | 2 | 2 | 0.00% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
6 | CAROLINA Checkers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 9 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 14 | 26 | 40 | 0 | 0 | 63 | 108 | 130 | 2 | 65 | 744 | 677 | 791 | 6 | 54 | 13 | 14 | 19 | 8 | 3 | 37.50% | 7 | 3 | 57.14% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
7 | CHICAGO Wolves | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 16 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 10 | 0 | 3 | 0.500 | 12 | 20 | 32 | 0 | 0 | 63 | 108 | 130 | 2 | 95 | 744 | 677 | 791 | 6 | 84 | 22 | 25 | 36 | 8 | 3 | 37.50% | 11 | 6 | 45.45% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
8 | COLORADO Eagles | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 19 | -5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 17 | -8 | 4 | 0.500 | 14 | 24 | 38 | 0 | 0 | 63 | 108 | 130 | 2 | 126 | 744 | 677 | 791 | 6 | 99 | 36 | 47 | 47 | 15 | 3 | 20.00% | 16 | 6 | 62.50% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
9 | GRAND RAPIDS Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 63 | 108 | 130 | 2 | 31 | 744 | 677 | 791 | 6 | 39 | 10 | 6 | 10 | 0 | 0 | 0% | 3 | 1 | 66.67% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
10 | HERSEY Bears | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 4 | 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 1 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 17 | 30 | 47 | 0 | 0 | 63 | 108 | 130 | 2 | 68 | 744 | 677 | 791 | 6 | 36 | 7 | 4 | 27 | 10 | 3 | 30.00% | 2 | 1 | 50.00% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
11 | IOWA Wild | 4 | 1 | 1 | 0 | 0 | 2 | 0 | 0 | 17 | 18 | -1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 11 | -2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 4 | 0.500 | 17 | 29 | 46 | 0 | 0 | 63 | 108 | 130 | 2 | 143 | 744 | 677 | 791 | 6 | 141 | 55 | 30 | 47 | 9 | 3 | 33.33% | 15 | 8 | 46.67% | 1 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
12 | LAVAL Rocket | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 32 | -23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 21 | -16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 9 | 17 | 26 | 0 | 0 | 63 | 108 | 130 | 2 | 93 | 744 | 677 | 791 | 6 | 110 | 30 | 52 | 31 | 7 | 2 | 28.57% | 16 | 12 | 25.00% | 1 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
13 | LEHIGH VALLEY Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 17 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 63 | 108 | 130 | 2 | 61 | 744 | 677 | 791 | 6 | 94 | 33 | 21 | 17 | 9 | 2 | 22.22% | 8 | 5 | 37.50% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
14 | MANITOBA Moose | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 30 | 17 | 13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 9 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 8 | 0.800 | 30 | 53 | 83 | 0 | 0 | 63 | 108 | 130 | 2 | 162 | 744 | 677 | 791 | 6 | 72 | 30 | 12 | 89 | 13 | 6 | 46.15% | 6 | 5 | 16.67% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
15 | MILWAUKEE Admirals | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 21 | -4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 12 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 4 | 0.500 | 17 | 31 | 48 | 0 | 0 | 63 | 108 | 130 | 2 | 151 | 744 | 677 | 791 | 6 | 110 | 32 | 24 | 65 | 7 | 2 | 28.57% | 12 | 4 | 66.67% | 2 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
16 | PROVIDENCE Bruins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 21 | -13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 0 | 0.000 | 8 | 15 | 23 | 0 | 0 | 63 | 108 | 130 | 2 | 48 | 744 | 677 | 791 | 6 | 62 | 14 | 24 | 28 | 11 | 1 | 9.09% | 12 | 7 | 41.67% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
17 | ROCHESTER Americans | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 14 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 63 | 108 | 130 | 2 | 51 | 744 | 677 | 791 | 6 | 79 | 29 | 24 | 29 | 4 | 0 | 0.00% | 12 | 10 | 16.67% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
18 | ROCKFORD IceHogs | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 16 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 63 | 108 | 130 | 2 | 99 | 744 | 677 | 791 | 6 | 83 | 15 | 40 | 27 | 11 | 4 | 36.36% | 15 | 9 | 40.00% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
19 | SAN ANTONIO Rampage | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 11 | 10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 6 | 1.000 | 21 | 34 | 55 | 0 | 0 | 63 | 108 | 130 | 2 | 101 | 744 | 677 | 791 | 6 | 45 | 18 | 8 | 47 | 6 | 4 | 66.67% | 4 | 2 | 50.00% | 2 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
20 | SAN DIEGO Gulls | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 12 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 11 | 20 | 31 | 0 | 0 | 63 | 108 | 130 | 2 | 62 | 744 | 677 | 791 | 6 | 25 | 4 | 6 | 39 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
21 | SCRANTON Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 21 | -15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 13 | -11 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 63 | 108 | 130 | 2 | 60 | 744 | 677 | 791 | 6 | 86 | 38 | 31 | 30 | 5 | 2 | 40.00% | 8 | 7 | 12.50% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
22 | STOCKTON Flames | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 14 | -10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | -9 | 2 | 0.333 | 4 | 7 | 11 | 0 | 0 | 63 | 108 | 130 | 2 | 93 | 744 | 677 | 791 | 6 | 60 | 26 | 2 | 45 | 8 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
23 | SYRACUSE Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 10 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 0.500 | 14 | 27 | 41 | 0 | 0 | 63 | 108 | 130 | 2 | 71 | 744 | 677 | 791 | 6 | 47 | 12 | 18 | 36 | 11 | 4 | 36.36% | 9 | 2 | 77.78% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
24 | TUSCON Roadrunners | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 39 | -22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 14 | -7 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 25 | -15 | 2 | 0.200 | 17 | 31 | 48 | 0 | 0 | 63 | 108 | 130 | 2 | 180 | 744 | 677 | 791 | 6 | 200 | 74 | 76 | 55 | 14 | 4 | 28.57% | 28 | 19 | 32.14% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
25 | UTICA Comets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 63 | 108 | 130 | 2 | 67 | 744 | 677 | 791 | 6 | 54 | 28 | 33 | 22 | 9 | 1 | 11.11% | 9 | 4 | 55.56% | 0 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
Total | 68 | 29 | 35 | 0 | 0 | 3 | 1 | 0 | 302 | 385 | -83 | 34 | 15 | 17 | 0 | 0 | 1 | 1 | 0 | 152 | 187 | -35 | 34 | 14 | 18 | 0 | 0 | 2 | 0 | 0 | 150 | 198 | -48 | 63 | 0.463 | 302 | 533 | 835 | 0 | 0 | 63 | 108 | 130 | 2 | 2212 | 744 | 677 | 791 | 6 | 1973 | 675 | 594 | 912 | 202 | 56 | 27.72% | 238 | 133 | 44.12% | 8 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 | |
_Since Last GM Reset | 68 | 29 | 35 | 0 | 0 | 3 | 1 | 0 | 302 | 385 | -83 | 34 | 15 | 17 | 0 | 0 | 1 | 1 | 0 | 152 | 187 | -35 | 34 | 14 | 18 | 0 | 0 | 2 | 0 | 0 | 150 | 198 | -48 | 63 | 0.463 | 302 | 533 | 835 | 0 | 0 | 63 | 108 | 130 | 2 | 2212 | 744 | 677 | 791 | 6 | 1973 | 675 | 594 | 912 | 202 | 56 | 27.72% | 238 | 133 | 44.12% | 8 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 | |
_Vs Conference | 41 | 18 | 19 | 0 | 0 | 3 | 1 | 0 | 164 | 203 | -39 | 21 | 11 | 8 | 0 | 0 | 1 | 1 | 0 | 87 | 94 | -7 | 20 | 7 | 11 | 0 | 0 | 2 | 0 | 0 | 77 | 109 | -32 | 41 | 0.500 | 164 | 284 | 448 | 0 | 0 | 63 | 108 | 130 | 2 | 1382 | 744 | 677 | 791 | 6 | 1089 | 378 | 334 | 559 | 114 | 32 | 28.07% | 133 | 65 | 51.13% | 6 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 | |
_Vs Division | 25 | 11 | 12 | 0 | 0 | 2 | 0 | 0 | 105 | 130 | -25 | 12 | 7 | 4 | 0 | 0 | 1 | 0 | 0 | 58 | 58 | 0 | 13 | 4 | 8 | 0 | 0 | 1 | 0 | 0 | 47 | 72 | -25 | 24 | 0.480 | 105 | 185 | 290 | 0 | 0 | 63 | 108 | 130 | 2 | 861 | 744 | 677 | 791 | 6 | 705 | 242 | 229 | 330 | 69 | 22 | 31.88% | 92 | 51 | 44.57% | 3 | 463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% | 1332 | 753 | 1482 | 716 | 1271 | 542 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
68 | 63 | L1 | 302 | 533 | 835 | 2212 | 1973 | 675 | 594 | 912 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
68 | 29 | 35 | 0 | 3 | 1 | 0 | 302 | 385 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
34 | 15 | 17 | 0 | 1 | 1 | 0 | 152 | 187 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
34 | 14 | 18 | 0 | 2 | 0 | 0 | 150 | 198 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 6 | 0 | 1 | 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 |
---|---|---|---|---|---|---|
202 | 56 | 27.72% | 238 | 133 | 44.12% | 8 |
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 |
---|---|---|---|---|---|---|---|
744 | 677 | 791 | 6 | 63 | 108 | 130 | 2 |
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 |
463 | 1132 | 40.90% | 441 | 1136 | 38.82% | 639 | 1422 | 44.94% |
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 |
1332 | 753 | 1482 | 716 | 1271 | 542 |
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 |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
6 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
1,203,485$ | 1,330,000$ | 1,330,000$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
12,202$ | 961,247$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 21 | 14,954$ | 314,034$ |
# | Nom du joueur | 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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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | 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 |
# | Nom du joueur | 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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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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