Belleville Senators
Bridgeport Islanders
Calgary Wranglers
Charlotte Checkers
Cleveland Monsters
Hartford Wolf Pack
Hershey Bears
Laval Rocket
Lehigh Valley Phantoms
Providence Bruins
Rochester Americans
Springfield Thunderbirds
Syracuse Crunch
Toronto Marlies
Utica Comets
Wilkes-Barre/Scranton Penguins
| Toronto Marlies |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Flavio | Morale : 40 | Moyenne d’équipe : 60 Prochains matchs #7 vs Calgary Wranglers |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 moyen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Dylan Gambrell | 0 | X | 100.00 | 77 | 40 | 86 | 66 | 73 | 63 | 83 | 58 | 71 | 69 | 60 | 77 | 54 | 61 | 58 | 0 | 40 | 67 | 0 | 28 | 1 | 775,000$ | ||||
| 2 | Kieffer Bellows | 0 | X | X | 100.00 | 71 | 51 | 83 | 64 | 73 | 60 | 64 | 58 | 52 | 66 | 61 | 66 | 55 | 57 | 57 | 0 | 37 | 64 | 0 | 26 | 1 | 775,000$ | |||
| 3 | Logan Shaw | 0 | X | 100.00 | 55 | 57 | 65 | 63 | 69 | 66 | 64 | 63 | 55 | 61 | 61 | 59 | 58 | 70 | 62 | 0 | 40 | 62 | 0 | 32 | 1 | 775,000$ | ||||
| 4 | Nicholas Robertson | 0 | X | X | 100.00 | 64 | 46 | 84 | 63 | 69 | 60 | 57 | 57 | 54 | 67 | 60 | 65 | 54 | 55 | 56 | 0 | 37 | 62 | 0 | 23 | 1 | 775,000$ | |||
| 5 | Alex Steeves | 0 | X | 100.00 | 55 | 58 | 66 | 64 | 63 | 66 | 64 | 61 | 55 | 59 | 61 | 59 | 54 | 58 | 55 | 0 | 40 | 61 | 0 | 25 | 1 | 775,000$ | ||||
| 6 | Bobby McMann | 0 | X | 100.00 | 58 | 56 | 69 | 62 | 70 | 63 | 60 | 58 | 54 | 58 | 60 | 62 | 54 | 62 | 58 | 0 | 40 | 61 | 0 | 28 | 1 | 775,000$ | ||||
| 7 | Pontus Holmberg | 0 | X | X | 100.00 | 59 | 49 | 73 | 61 | 69 | 59 | 59 | 59 | 68 | 62 | 59 | 63 | 54 | 57 | 55 | 0 | 40 | 61 | 0 | 25 | 2 | 1,350,000$ | |||
| 8 | Joseph Blandisi | 0 | X | 100.00 | 56 | 57 | 64 | 59 | 61 | 65 | 63 | 59 | 70 | 58 | 59 | 62 | 54 | 67 | 60 | 0 | 40 | 60 | 0 | 30 | 1 | 775,000$ | ||||
| 9 | Kyle Clifford | 0 | X | X | 100.00 | 61 | 62 | 70 | 60 | 74 | 61 | 65 | 57 | 54 | 59 | 57 | 61 | 54 | 75 | 62 | 0 | 40 | 60 | 0 | 33 | 1 | 775,000$ | |||
| 10 | Fraser Minten | 0 | X | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 0 | 57 | 60 | 0 | 20 | 3 | 1,300,000$ | ||
| 11 | Easton Cowan (R) | 0 | X | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 0 | 40 | 60 | 0 | 19 | 1 | 775,000$ | ||
| 12 | Braeden Kressler (R) | 0 | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 0 | 40 | 60 | 0 | 21 | 1 | 775,000$ | ||||
| 13 | Conor Timmins | 0 | X | 100.00 | 66 | 42 | 83 | 66 | 76 | 70 | 61 | 59 | 40 | 73 | 56 | 75 | 54 | 56 | 57 | 0 | 40 | 66 | 0 | 26 | 1 | 775,000$ | ||||
| 14 | William Lagesson | 0 | X | 100.00 | 59 | 62 | 72 | 60 | 71 | 66 | 65 | 58 | 40 | 61 | 57 | 69 | 54 | 62 | 58 | 0 | 40 | 62 | 0 | 28 | 1 | 775,000$ | ||||
| 15 | Maxime Lajoie | 0 | X | 100.00 | 55 | 56 | 66 | 60 | 65 | 66 | 64 | 60 | 40 | 60 | 57 | 61 | 54 | 62 | 57 | 0 | 40 | 60 | 0 | 27 | 1 | 775,000$ | ||||
| 16 | Noah Chadwick (R) | 0 | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 0 | 40 | 60 | 0 | 19 | 1 | 775,000$ | ||||
| 17 | David Farrance | 0 | X | 100.00 | 55 | 54 | 67 | 58 | 62 | 63 | 61 | 57 | 40 | 57 | 55 | 60 | 55 | 58 | 55 | 0 | 40 | 58 | 0 | 25 | 1 | 775,000$ | ||||
| 18 | Matteo Pietroniro | 0 | X | 100.00 | 56 | 55 | 65 | 55 | 62 | 61 | 60 | 54 | 40 | 54 | 54 | 60 | 54 | 60 | 56 | 0 | 40 | 57 | 0 | 26 | 1 | 775,000$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Josiah Slavin | 0 | X | X | X | 100.00 | 54 | 56 | 67 | 57 | 64 | 66 | 64 | 57 | 55 | 56 | 58 | 59 | 54 | 60 | 56 | 0 | 40 | 59 | 0 | 26 | 1 | 775,000$ | ||
| 2 | Max Ellis | 0 | X | X | 100.00 | 55 | 55 | 67 | 57 | 56 | 60 | 60 | 56 | 55 | 55 | 57 | 61 | 54 | 56 | 54 | 0 | 40 | 57 | 0 | 24 | 1 | 775,000$ | |||
| 3 | Zach Solow | 0 | X | X | 100.00 | 56 | 54 | 66 | 55 | 57 | 58 | 58 | 55 | 55 | 54 | 55 | 60 | 54 | 60 | 56 | 0 | 37 | 56 | 0 | 26 | 1 | 775,000$ | |||
| 4 | Matthew Knies | 0 | X | X | 100.00 | 54 | 38 | 67 | 52 | 79 | 67 | 54 | 52 | 48 | 58 | 50 | 57 | 51 | 51 | 55 | 0 | 40 | 56 | 0 | 22 | 1 | 1,100,000$ | |||
| 5 | Dmitri Ovchinnikov | 0 | X | X | X | 100.00 | 54 | 54 | 68 | 54 | 56 | 55 | 54 | 54 | 55 | 54 | 54 | 61 | 54 | 53 | 52 | 0 | 40 | 55 | 0 | 22 | 1 | 775,000$ | ||
| 6 | Ryan Tverberg | 0 | X | 100.00 | 51 | 51 | 65 | 51 | 59 | 52 | 52 | 51 | 52 | 51 | 51 | 57 | 51 | 51 | 49 | 0 | 40 | 52 | 0 | 22 | 1 | 775,000$ | ||||
| 7 | William Villeneuve | 0 | X | 100.00 | 55 | 54 | 62 | 56 | 60 | 61 | 60 | 57 | 44 | 57 | 55 | 60 | 54 | 54 | 53 | 0 | 40 | 57 | 0 | 22 | 1 | 775,000$ | ||||
| 8 | Mikko Kokkonen | 0 | X | 100.00 | 55 | 54 | 62 | 55 | 62 | 59 | 58 | 55 | 44 | 55 | 54 | 58 | 54 | 55 | 53 | 0 | 40 | 56 | 0 | 23 | 1 | 775,000$ | ||||
| 9 | Marshall Rifai | 0 | X | 100.00 | 54 | 52 | 57 | 55 | 60 | 64 | 63 | 54 | 38 | 53 | 53 | 58 | 51 | 58 | 53 | 0 | 40 | 56 | 0 | 26 | 1 | 775,000$ | ||||
| 10 | Tommy Miller | 0 | X | 100.00 | 51 | 51 | 65 | 53 | 61 | 59 | 57 | 52 | 38 | 52 | 51 | 58 | 51 | 56 | 52 | 0 | 40 | 54 | 0 | 25 | 1 | 775,000$ | ||||
| 11 | Topi Niemela | 0 | X | 100.00 | 51 | 51 | 65 | 52 | 54 | 52 | 52 | 51 | 38 | 51 | 51 | 57 | 51 | 51 | 49 | 0 | 40 | 53 | 0 | 22 | 1 | 775,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 58 | 54 | 68 | 59 | 64 | 61 | 61 | 57 | 52 | 59 | 57 | 62 | 55 | 59 | 56 | 0 | 40 | 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 |
| # | 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 moyen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Matt Murray | 0 | 100.00 | 76 | 70 | 71 | 89 | 79 | 73 | 81 | 70 | 82 | 72 | 83 | 68 | 68 | 0 | 40 | 76 | 0 | 30 | 2 | 775,000$ | |
| 2 | Keith Petruzzelli | 0 | 100.00 | 67 | 66 | 67 | 86 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 63 | 69 | 0 | 40 | 67 | 0 | 25 | 1 | 775,000$ | |
| Rayé | ||||||||||||||||||||||||
| 1 | Joseph Woll | 0 | 100.00 | 64 | 59 | 59 | 72 | 71 | 57 | 71 | 62 | 65 | 57 | 58 | 59 | 55 | 0 | 40 | 64 | 0 | 26 | 1 | 1,000,000$ | |
| 2 | Artur Akhtyamov (R) | 0 | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 0 | 40 | 60 | 0 | 23 | 1 | 775,000$ | |
| 3 | Dennis Hildeby | 0 | 100.00 | 51 | 51 | 51 | 73 | 61 | 51 | 62 | 51 | 55 | 52 | 62 | 51 | 48 | 0 | 40 | 55 | 0 | 23 | 1 | 775,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 64 | 61 | 62 | 76 | 67 | 61 | 68 | 62 | 65 | 62 | 66 | 60 | 60 | 0 | 40 | 64 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Gruden | 68 | 75 | 64 | 68 | 77 | 72 | 73 | USA | 52 | 7 | 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 |
|---|
| 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 |
|---|
| 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 | Salaire moyen | Salaire moyen restant | Plafond salarial Non Activé | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Steeves | Toronto Marlies (TOR) | C | 25 | 10.12.1999 | No | 89 Kg | 183 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Artur Akhtyamov | Toronto Marlies (TOR) | G | 23 | 31.10.2001 | Yes | 76 Kg | 185 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Bobby McMann | Toronto Marlies (TOR) | C | 28 | 15.06.1996 | No | 95 Kg | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Braeden Kressler | Toronto Marlies (TOR) | C | 21 | 05.01.2003 | Yes | 79 Kg | 175 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Conor Timmins | Toronto Marlies (TOR) | D | 26 | 18.09.1998 | No | 92 Kg | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| David Farrance | Toronto Marlies (TOR) | D | 25 | 23.06.1999 | No | 86 Kg | 180 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Dennis Hildeby | Toronto Marlies (TOR) | G | 23 | 19.08.2001 | No | 106 Kg | 198 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Dmitri Ovchinnikov | Toronto Marlies (TOR) | C/LW/RW | 22 | 19.08.2002 | No | 74 Kg | 180 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Dylan Gambrell | Toronto Marlies (TOR) | C | 28 | 26.08.1996 | No | 84 Kg | 180 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Easton Cowan | Toronto Marlies (TOR) | C/LW/RW | 19 | 20.05.2005 | Yes | 84 Kg | 180 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Fraser Minten | Toronto Marlies (TOR) | C/LW/RW | 20 | 05.07.2004 06:31:35 | No | 87 Kg | 188 CM | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 0$ | 0$ | No | 1,300,000$ | 1,300,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Joseph Blandisi | Toronto Marlies (TOR) | C | 30 | 18.07.1994 | No | 83 Kg | 183 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Joseph Woll | Toronto Marlies (TOR) | G | 26 | 12.07.1998 | No | 92 Kg | 191 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Josiah Slavin | Toronto Marlies (TOR) | C/LW/RW | 26 | 31.12.1998 | No | 86 Kg | 191 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Keith Petruzzelli | Toronto Marlies (TOR) | G | 25 | 09.02.1999 | No | 84 Kg | 196 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Kieffer Bellows | Toronto Marlies (TOR) | LW/RW | 26 | 10.06.1998 | No | 89 Kg | 185 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Kyle Clifford | Toronto Marlies (TOR) | LW/RW | 33 | 13.01.1991 | No | 99 Kg | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Logan Shaw | Toronto Marlies (TOR) | C | 32 | 05.10.1992 | No | 94 Kg | 193 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Marshall Rifai | Toronto Marlies (TOR) | D | 26 | 16.03.1998 | No | 86 Kg | 185 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Matt Murray | Toronto Marlies (TOR) | G | 30 | 25.05.1994 | No | 92 Kg | 196 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Matteo Pietroniro | Toronto Marlies (TOR) | D | 26 | 20.10.1998 | No | 84 Kg | 185 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Matthew Knies | Toronto Marlies (TOR) | LW/RW | 22 | 17.10.2002 | No | 95 Kg | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Max Ellis | Toronto Marlies (TOR) | LW/RW | 24 | 18.01.2000 | No | 78 Kg | 175 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Maxime Lajoie | Toronto Marlies (TOR) | D | 27 | 05.11.1997 | No | 89 Kg | 185 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Mikko Kokkonen | Toronto Marlies (TOR) | D | 23 | 18.01.2001 | No | 91 Kg | 183 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Nicholas Robertson | Toronto Marlies (TOR) | LW/RW | 23 | 11.09.2001 | No | 83 Kg | 175 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Noah Chadwick | Toronto Marlies (TOR) | D | 19 | 10.05.2005 | Yes | 91 Kg | 193 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Pontus Holmberg | Toronto Marlies (TOR) | LW/RW | 25 | 09.03.1999 | No | 92 Kg | 183 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | 0$ | 0$ | No | 1,350,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Ryan Tverberg | Toronto Marlies (TOR) | C | 22 | 30.01.2002 | No | 86 Kg | 183 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Tommy Miller | Toronto Marlies (TOR) | D | 25 | 06.03.1999 | No | 88 Kg | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Topi Niemela | Toronto Marlies (TOR) | D | 22 | 25.03.2002 | No | 77 Kg | 180 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| William Lagesson | Toronto Marlies (TOR) | D | 28 | 22.02.1996 | No | 94 Kg | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| William Villeneuve | Toronto Marlies (TOR) | D | 22 | 20.03.2002 | No | 83 Kg | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Zach Solow | Toronto Marlies (TOR) | LW/RW | 26 | 06.11.1998 | No | 80 Kg | 175 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 34 | 24.94 | 87 Kg | 185 CM | 1.12 | 823,529$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Kieffer Bellows | Dylan Gambrell | Nicholas Robertson | 33 | 1 | 2 | 2 |
| 2 | Pontus Holmberg | Logan Shaw | Kyle Clifford | 30 | 1 | 2 | 2 |
| 3 | Fraser Minten | Alex Steeves | Easton Cowan | 25 | 1 | 2 | 2 |
| 4 | Dylan Gambrell | Bobby McMann | Kieffer Bellows | 12 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Conor Timmins | William Lagesson | 33 | 1 | 2 | 2 | |
| 2 | Noah Chadwick | Maxime Lajoie | 30 | 1 | 2 | 2 | |
| 3 | David Farrance | Matteo Pietroniro | 25 | 1 | 2 | 2 | |
| 4 | Conor Timmins | William Lagesson | 12 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Kieffer Bellows | Dylan Gambrell | Nicholas Robertson | 50 | 1 | 2 | 2 |
| 2 | Pontus Holmberg | Logan Shaw | Kyle Clifford | 50 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Conor Timmins | William Lagesson | 50 | 1 | 2 | 2 | |
| 2 | Noah Chadwick | Maxime Lajoie | 50 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Dylan Gambrell | Kieffer Bellows | 50 | 1 | 2 | 2 |
| 2 | Nicholas Robertson | Logan Shaw | 50 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Conor Timmins | William Lagesson | 50 | 1 | 2 | 2 |
| 2 | Noah Chadwick | Maxime Lajoie | 50 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Dylan Gambrell | 50 | 1 | 2 | 2 | Conor Timmins | William Lagesson | 50 | 1 | 2 | 2 |
| 2 | Kieffer Bellows | 50 | 1 | 2 | 2 | Noah Chadwick | Maxime Lajoie | 50 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Dylan Gambrell | Kieffer Bellows | 50 | 1 | 2 | 2 |
| 2 | Nicholas Robertson | Logan Shaw | 50 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Conor Timmins | William Lagesson | 50 | 1 | 2 | 2 |
| 2 | Noah Chadwick | Maxime Lajoie | 50 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Kieffer Bellows | Dylan Gambrell | Nicholas Robertson | Conor Timmins | William Lagesson |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Kieffer Bellows | Dylan Gambrell | Nicholas Robertson | Conor Timmins | William Lagesson |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Joseph Blandisi, Braeden Kressler, Alex Steeves | Joseph Blandisi, Braeden Kressler | Alex Steeves |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| David Farrance, Matteo Pietroniro, Noah Chadwick | David Farrance | Matteo Pietroniro, Noah Chadwick |
| Tirs de pénalité |
|---|
| Dylan Gambrell, Kieffer Bellows, Nicholas Robertson, Logan Shaw, Alex Steeves |
| Gardien |
|---|
| #1 : Matt Murray, #2 : Keith Petruzzelli |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Dylan Gambrell, Kieffer Bellows, Nicholas Robertson, Logan Shaw, Alex Steeves, Bobby McMann, Bobby McMann, Pontus Holmberg, Kyle Clifford, Joseph Blandisi, Braeden Kressler |
| Lignes de défense personnalisées en prolongation |
|---|
| Conor Timmins, William Lagesson, Noah Chadwick, Maxime Lajoie, David Farrance |
| 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 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| 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 |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 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 |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 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 |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 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 |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| 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 |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 7 | Toronto Marlies | - | Calgary Wranglers | - | |||||
| 3 | 18 | Calgary Wranglers | - | Toronto Marlies | - | |||||
| 5 | 37 | Cleveland Monsters | - | Toronto Marlies | - | |||||
| 7 | 51 | Toronto Marlies | - | Belleville Senators | - | |||||
| 8 | 65 | Toronto Marlies | - | Rochester Americans | - | |||||
| 10 | 84 | Belleville Senators | - | Toronto Marlies | - | |||||
| 12 | 95 | Toronto Marlies | - | Utica Comets | - | |||||
| 14 | 116 | Laval Rocket | - | Toronto Marlies | - | |||||
| 17 | 134 | Toronto Marlies | - | Syracuse Crunch | - | |||||
| 19 | 153 | Syracuse Crunch | - | Toronto Marlies | - | |||||
| 21 | 168 | Toronto Marlies | - | Laval Rocket | - | |||||
| Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
| 22 | 176 | Toronto Marlies | - | Cleveland Monsters | - | |||||
| 24 | 189 | Utica Comets | - | Toronto Marlies | - | |||||
| 28 | 217 | Rochester Americans | - | Toronto Marlies | - | |||||
| 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% | 0% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 7 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 2,800,000$ | 2,800,000$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 93,333$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 30 | 110,000$ | 3,300,000$ |
| # | 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 |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
Abbotsford Canucks
Bakersfield Condors
Chicago Wolves
Colorado Eagles
Grand Rapids Griffins
Iowa Wild
Manitoba Moose
Milwaukee Admirals
Ontario Reign
Rockford IceHogs
San Diego Gulls
San Jose Barracuda
Texas Stars
Tucson Roadrunners
