Abbotsford Canucks
Belleville Senators
Bridgeport Islanders
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
 | San Diego Gulls |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Robhert Esserud | Morale : 71 | Moyenne d’équipe : 58 Prochains matchs #8 vs Milwaukee Admirals |
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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 | Vinni Lettieri | 0 | X | X | 100.00 | 74 | 69 | 79 | 67 | 69 | 68 | 68 | 71 | 81 | 68 | 71 | 66 | 65 | 56 | 56 | 64 | 94 | 64 | 0 | 28 | 1 | 750,000$ | |||
| 2 | Jayson Megna | 0 | X | X | 100.00 | 73 | 43 | 98 | 74 | 72 | 56 | 78 | 59 | 71 | 63 | 62 | 73 | 25 | 67 | 67 | 59 | 92 | 63 | 0 | 33 | 1 | 750,000$ | |||
| 3 | Benoit-Olivier Groulx (R) | 0 | X | 100.00 | 76 | 73 | 80 | 70 | 76 | 74 | 78 | 64 | 79 | 61 | 62 | 62 | 58 | 48 | 48 | 60 | 88 | 62 | 0 | 23 | 1 | 822,500$ | ||||
| 4 | Michael Vecchione | 0 | X | X | 100.00 | 75 | 69 | 85 | 66 | 69 | 77 | 80 | 66 | 81 | 63 | 68 | 62 | 61 | 47 | 47 | 63 | 90 | 62 | 0 | 30 | 1 | 800,000$ | |||
| 5 | Brayden Tracey (R) | 0 | X | X | 100.00 | 73 | 69 | 82 | 73 | 72 | 71 | 75 | 60 | 50 | 56 | 60 | 60 | 53 | 47 | 47 | 57 | 91 | 60 | 0 | 22 | 2 | 863,333$ | |||
| 6 | Brett Sutter | 0 | X | X | 100.00 | 76 | 73 | 75 | 61 | 71 | 68 | 71 | 58 | 71 | 52 | 60 | 63 | 55 | 57 | 57 | 56 | 92 | 59 | 0 | 36 | 1 | 800,000$ | |||
| 7 | John Stevens | 0 | X | 100.00 | 74 | 69 | 86 | 63 | 69 | 69 | 72 | 55 | 71 | 54 | 53 | 61 | 51 | 49 | 49 | 56 | 86 | 58 | 0 | 29 | 1 | 800,000$ | ||||
| 8 | Jacob Perreault (R) | 0 | X | X | 100.00 | 73 | 71 | 71 | 73 | 74 | 65 | 68 | 54 | 50 | 51 | 54 | 59 | 51 | 47 | 47 | 55 | 83 | 58 | 0 | 21 | 3 | 894,167$ | |||
| 9 | Gerald Mayhew | 0 | X | 100.00 | 64 | 59 | 72 | 62 | 59 | 78 | 83 | 62 | 80 | 54 | 65 | 60 | 61 | 60 | 60 | 59 | 88 | 58 | 0 | 31 | 1 | 750,000$ | ||||
| 10 | Bryce Kindopp | 0 | X | 100.00 | 76 | 71 | 93 | 67 | 74 | 75 | 83 | 44 | 50 | 40 | 44 | 58 | 44 | 47 | 47 | 51 | 85 | 56 | 0 | 24 | 1 | 925,000$ | ||||
| 11 | Josh Lopina (R) | 0 | X | 100.00 | 77 | 72 | 89 | 63 | 74 | 62 | 67 | 43 | 58 | 39 | 43 | 58 | 43 | 47 | 47 | 49 | 78 | 54 | 0 | 22 | 3 | 878,333$ | ||||
| 12 | Jamie Drysdale | 0 | X | 100.00 | 77 | 67 | 83 | 90 | 69 | 58 | 63 | 71 | 75 | 63 | 51 | 60 | 37 | 60 | 60 | 48 | 89 | 63 | 0 | 21 | 1 | 925,000$ | ||||
| 13 | Josh Mahura | 0 | X | 100.00 | 77 | 44 | 84 | 72 | 71 | 64 | 77 | 63 | 25 | 53 | 50 | 70 | 25 | 63 | 63 | 56 | 85 | 62 | 0 | 25 | 1 | 750,000$ | ||||
| 14 | Andrej Sustr | 0 | X | 100.00 | 83 | 84 | 69 | 67 | 84 | 68 | 73 | 48 | 25 | 41 | 40 | 66 | 39 | 50 | 50 | 50 | 89 | 60 | 0 | 33 | 1 | 800,000$ | ||||
| 15 | Jacob Larsson | 0 | X | 100.00 | 73 | 72 | 71 | 78 | 73 | 71 | 77 | 50 | 25 | 40 | 40 | 65 | 39 | 67 | 67 | 51 | 86 | 60 | 0 | 26 | 1 | 750,000$ | ||||
| 16 | Brian Lashoff | 0 | X | X | 100.00 | 82 | 80 | 77 | 63 | 80 | 51 | 53 | 46 | 25 | 34 | 39 | 66 | 37 | 66 | 67 | 48 | 83 | 58 | 0 | 33 | 1 | 800,000$ | |||
| 17 | Hunter Drew | 0 | X | 100.00 | 68 | 78 | 37 | 67 | 79 | 73 | 80 | 46 | 45 | 35 | 40 | 56 | 39 | 47 | 47 | 46 | 84 | 56 | 0 | 25 | 1 | 793,333$ | ||||
| 18 | Axel Andersson (R) | 0 | X | 100.00 | 72 | 67 | 86 | 67 | 70 | 53 | 55 | 45 | 25 | 35 | 39 | 57 | 38 | 47 | 47 | 48 | 88 | 54 | 0 | 23 | 1 | 772,500$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Blake McLaughlin (R) | 0 | X | 100.00 | 70 | 64 | 85 | 63 | 64 | 53 | 56 | 44 | 50 | 38 | 44 | 57 | 42 | 44 | 44 | 50 | 25 | 51 | 0 | 23 | 2 | 883,750$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 74 | 68 | 79 | 69 | 72 | 66 | 71 | 55 | 55 | 49 | 52 | 62 | 45 | 53 | 54 | 54 | 84 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Matt Berlin | 0 | 100.00 | 55 | 48 | 50 | 88 | 50 | 52 | 55 | 56 | 52 | 58 | 35 | 44 | 44 | 51 | 88 | 55 | 0 | 25 | 1 | 800,000$ | |
| 2 | Gage Alexander (R) | 0 | 100.00 | 47 | 49 | 61 | 86 | 46 | 49 | 50 | 53 | 50 | 50 | 30 | 44 | 44 | 49 | 25 | 52 | 0 | 21 | 3 | 810,000$ | |
| Rayé | ||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 51 | 49 | 56 | 87 | 48 | 51 | 53 | 55 | 51 | 54 | 33 | 44 | 44 | 50 | 57 | 54 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Greg Cronin | 60 | 70 | 40 | 60 | 99 | 70 | 50 | USA | 61 | 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 |
|---|
| 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Andrej Sustr | San Diego Gulls (ANA) | D | 33 | 1990-12-31 | No | 217 Lbs | 6 ft7 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Axel Andersson | San Diego Gulls (ANA) | D | 23 | 2000-12-31 | Yes | 182 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 772,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Benoit-Olivier Groulx | San Diego Gulls (ANA) | C | 23 | 2000-12-31 | Yes | 198 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 822,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Blake McLaughlin | San Diego Gulls (ANA) | LW | 23 | 2000-12-31 | Yes | 173 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 883,750$ | 0$ | 0$ | No | 883,750$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Brayden Tracey | San Diego Gulls (ANA) | C/LW | 22 | 2001-12-31 | Yes | 186 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Brett Sutter | San Diego Gulls (ANA) | C/LW | 36 | 1987-12-31 | No | 200 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Brian Lashoff | San Diego Gulls (ANA) | LW/D | 33 | 1990-12-31 | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Bryce Kindopp | San Diego Gulls (ANA) | RW | 24 | 1999-12-31 | No | 191 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Gage Alexander | San Diego Gulls (ANA) | G | 21 | 2002-12-31 | Yes | 205 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 810,000$ | 0$ | 0$ | No | 810,000$ | 810,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Gerald Mayhew | San Diego Gulls (ANA) | C | 31 | 1992-12-31 | No | 166 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Hunter Drew | San Diego Gulls (ANA) | D | 25 | 1998-12-31 | No | 213 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 793,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Jacob Larsson | San Diego Gulls (ANA) | D | 26 | 1997-12-31 | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Jacob Perreault | San Diego Gulls (ANA) | C/RW | 21 | 2002-12-31 | Yes | 196 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 894,167$ | 0$ | 0$ | No | 894,167$ | 894,167$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Jamie Drysdale | San Diego Gulls (ANA) | D | 21 | 2002-12-31 | No | 187 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Jayson Megna | San Diego Gulls (ANA) | C/RW | 33 | 1990-12-31 | No | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| John Stevens | San Diego Gulls (ANA) | C | 29 | 1994-12-31 | No | 184 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Josh Lopina | San Diego Gulls (ANA) | C | 22 | 2001-12-31 | Yes | 194 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 878,333$ | 0$ | 0$ | No | 878,333$ | 878,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Josh Mahura | San Diego Gulls (ANA) | D | 25 | 1998-12-31 | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Matt Berlin | San Diego Gulls (ANA) | G | 25 | 1998-12-31 17:41:37 | No | 205 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Michael Vecchione | San Diego Gulls (ANA) | C/RW | 30 | 1993-12-31 | No | 195 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Vinni Lettieri | San Diego Gulls (ANA) | C/RW | 28 | 1995-12-31 | No | 191 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 21 | 26.38 | 194 Lbs | 6 ft1 | 1.38 | 815,139$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Brett Sutter | Vinni Lettieri | Jayson Megna | 33 | 1 | 2 | 2 |
| 2 | Brian Lashoff | Michael Vecchione | Jacob Perreault | 33 | 1 | 2 | 2 |
| 3 | Brayden Tracey | Benoit-Olivier Groulx | John Stevens | 24 | 1 | 2 | 2 |
| 4 | Josh Lopina | Gerald Mayhew | Bryce Kindopp | 10 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Jamie Drysdale | Axel Andersson | 34 | 1 | 2 | 2 | |
| 2 | Josh Mahura | Hunter Drew | 33 | 1 | 2 | 2 | |
| 3 | Jacob Larsson | Andrej Sustr | 33 | 1 | 2 | 2 | |
| 4 | Jamie Drysdale | Josh Mahura | 0 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Brett Sutter | Benoit-Olivier Groulx | Michael Vecchione | 50 | 0 | 0 | 5 |
| 2 | Brayden Tracey | Vinni Lettieri | Jayson Megna | 50 | 0 | 0 | 5 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Jamie Drysdale | Jacob Larsson | 50 | 1 | 0 | 4 | |
| 2 | Andrej Sustr | Josh Mahura | 50 | 1 | 0 | 4 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Brett Sutter | Michael Vecchione | 50 | 1 | 2 | 2 |
| 2 | Jayson Megna | Benoit-Olivier Groulx | 50 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jamie Drysdale | Josh Mahura | 50 | 1 | 2 | 2 |
| 2 | Andrej Sustr | Jacob Larsson | 50 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jayson Megna | 50 | 1 | 2 | 2 | Jamie Drysdale | Josh Mahura | 50 | 1 | 2 | 2 |
| 2 | Michael Vecchione | 50 | 1 | 2 | 2 | Andrej Sustr | Jacob Larsson | 50 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Vinni Lettieri | Jayson Megna | 50 | 1 | 2 | 2 |
| 2 | Michael Vecchione | Brett Sutter | 50 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jamie Drysdale | Josh Mahura | 50 | 1 | 2 | 2 |
| 2 | Andrej Sustr | Jacob Larsson | 50 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brett Sutter | Jayson Megna | Michael Vecchione | Jamie Drysdale | Josh Mahura |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brett Sutter | Jayson Megna | Michael Vecchione | Jamie Drysdale | Josh Mahura |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Gerald Mayhew, Josh Lopina, Brayden Tracey | Gerald Mayhew, Josh Lopina | Brayden Tracey |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Hunter Drew, Brian Lashoff, Andrej Sustr | Hunter Drew | Brian Lashoff, Andrej Sustr |
| Tirs de pénalité |
|---|
| Brian Lashoff, Michael Vecchione, Jayson Megna, Benoit-Olivier Groulx, Brett Sutter |
| Gardien |
|---|
| #1 : , #2 : Matt Berlin |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 2 | 8 | San Diego Gulls | - |  Milwaukee Admirals | - | |||||
| 4 | 16 | San Diego Gulls | - | Milwaukee Admirals | - | |||||
| 6 | 24 | Milwaukee Admirals | - | San Diego Gulls | - | |||||
| 8 | 32 | Milwaukee Admirals | - | San Diego Gulls | - | |||||
| 10 | 40 | San Diego Gulls | - | Milwaukee Admirals | - | |||||
| 12 | 48 | Milwaukee Admirals | - | San Diego Gulls | - | |||||
| 14 | 56 | San Diego Gulls | - | Milwaukee Admirals | - |
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 39 | 18 |
| 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 |
| 36 | 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$ | 1,711,791$ | 1,711,791$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 14 | 0$ | 0$ |
| # | 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 |
|---|
Bakersfield Condors
Calgary Wranglers
Chicago Wolves
Coachella Valley Firebirds
Colorado Eagles
Grand Rapids Griffins
Henderson Silver Knights
Iowa Wild
Manitoba Moose
Ontario Reign
Rockford IceHogs
San Jose Barracuda
Texas Stars
Tucson Roadrunners
