 | SAN DIEGO Gulls |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Patrick Ouellette | Morale : 99 | Moyenne d’équipe : 69 |
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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 | David Kampf | X | X | X | 100.00 | 65 | 35 | 93 | 65 | 78 | 81 | 90 | 64 | 89 | 66 | 62 | 77 | 63 | 71 | 67 | 42 | 99 | 72 | 0 | 26 | 3 | 1,500,000$ | ||
| 2 | Mathieu Joseph | X | 100.00 | 79 | 35 | 91 | 74 | 73 | 82 | 79 | 72 | 56 | 67 | 71 | 64 | 72 | 66 | 67 | 56 | 99 | 72 | 0 | 24 | 2 | 750,000$ | ||||
| 3 | Christian Fischer | X | 100.00 | 90 | 35 | 94 | 65 | 83 | 74 | 87 | 67 | 56 | 64 | 63 | 66 | 71 | 67 | 68 | 74 | 99 | 72 | 0 | 24 | 2 | 900,000$ | ||||
| 4 | Filip Zadina | X | 100.00 | 57 | 35 | 95 | 76 | 72 | 83 | 87 | 74 | 63 | 71 | 68 | 60 | 77 | 63 | 66 | 88 | 99 | 72 | 0 | 21 | 6 | 2,000,000$ | ||||
| 5 | Evgeny Svechnikov | X | 100.00 | 69 | 42 | 85 | 67 | 85 | 83 | 84 | 69 | 57 | 66 | 64 | 63 | 73 | 69 | 66 | 80 | 99 | 71 | 0 | 24 | 1 | 850,000$ | ||||
| 6 | Mark Jankowski | X | X | 100.00 | 57 | 35 | 94 | 67 | 89 | 73 | 86 | 65 | 82 | 64 | 63 | 77 | 62 | 73 | 68 | 71 | 99 | 71 | 0 | 27 | 1 | 2,000,000$ | |||
| 7 | Sonny Milano | X | X | 100.00 | 58 | 39 | 87 | 73 | 75 | 78 | 81 | 74 | 55 | 71 | 63 | 64 | 72 | 69 | 66 | 81 | 99 | 71 | 0 | 25 | 1 | 1,700,000$ | |||
| 8 | Julien Gauthier | X | 100.00 | 81 | 43 | 85 | 65 | 92 | 73 | 78 | 67 | 58 | 65 | 66 | 64 | 68 | 67 | 64 | 80 | 99 | 71 | 0 | 23 | 1 | 850,000$ | ||||
| 9 | Matthew Highmore | X | X | X | 100.00 | 73 | 35 | 92 | 67 | 70 | 87 | 83 | 62 | 66 | 63 | 61 | 64 | 62 | 69 | 66 | 52 | 99 | 69 | 0 | 25 | 1 | 750,000$ | ||
| 10 | Michael Amadio | X | 100.00 | 58 | 35 | 95 | 66 | 78 | 84 | 90 | 63 | 76 | 66 | 62 | 57 | 63 | 69 | 65 | 61 | 99 | 69 | 0 | 25 | 1 | 750,000$ | ||||
| 11 | Morgan Geekie | X | 100.00 | 65 | 37 | 90 | 67 | 82 | 76 | 73 | 68 | 72 | 66 | 67 | 59 | 68 | 65 | 63 | 66 | 99 | 69 | 0 | 23 | 1 | 750,000$ | ||||
| 12 | Adam Brooks | X | 100.00 | 60 | 35 | 95 | 65 | 68 | 76 | 79 | 67 | 72 | 66 | 64 | 62 | 66 | 69 | 65 | 63 | 99 | 68 | 0 | 25 | 1 | 750,000$ | ||||
| 13 | Deven Sideroff | X | 100.00 | 58 | 35 | 93 | 59 | 67 | 71 | 72 | 58 | 52 | 55 | 57 | 54 | 56 | 67 | 64 | 63 | 99 | 62 | 0 | 24 | 1 | 750,000$ | ||||
| 14 | Jordie Benn | X | 100.00 | 65 | 58 | 86 | 64 | 80 | 84 | 82 | 61 | 30 | 72 | 57 | 74 | 50 | 83 | 75 | 23 | 99 | 72 | 0 | 34 | 2 | 2,200,000$ | ||||
| 15 | Chris Bigras | X | 100.00 | 67 | 42 | 84 | 62 | 76 | 79 | 84 | 59 | 30 | 60 | 54 | 58 | 53 | 71 | 66 | 73 | 99 | 66 | 0 | 26 | 1 | 750,000$ | ||||
| 16 | Ville Pokka | X | 100.00 | 62 | 42 | 72 | 50 | 73 | 55 | 86 | 58 | 30 | 47 | 37 | 60 | 54 | 50 | 50 | 75 | 99 | 56 | 0 | 27 | 2 | 1,000,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 67 | 39 | 89 | 66 | 78 | 77 | 83 | 66 | 59 | 64 | 61 | 64 | 64 | 68 | 65 | 66 | 99 | 69 | ||||||||||
| 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 | Eamon McAdam (R) | 100.00 | 73 | 60 | 83 | 74 | 72 | 72 | 73 | 72 | 72 | 72 | 67 | 50 | 62 | 42 | 99 | 64 | 0 | 26 | 1 | 750,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 73 | 60 | 83 | 74 | 72 | 72 | 73 | 72 | 72 | 72 | 67 | 50 | 62 | 42 | 99 | 64 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dave Cameron | 67 | 67 | 67 | 67 | 80 | 80 | 48 | CAN | 64 | 1 | 400,000$ |
| 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 | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen restant | Plafond salarial | 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 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Brooks | SAN DIEGO Gulls (ANH) | C | 25 | 5/6/1996 | No | 84 Kg | 178 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | Lien | |||||||||
| Chris Bigras | SAN DIEGO Gulls (ANH) | D | 26 | 2/22/1995 | No | 87 Kg | 185 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | Lien | |||||||||
| Christian Fischer | SAN DIEGO Gulls (ANH) | RW | 24 | 4/15/1997 | No | 97 Kg | 188 CM | No | No | No | 2 | Pro & Farm | 900,000$ | 771,429$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 900,000$ | Lien | ||||||||
| David Kampf | SAN DIEGO Gulls (ANH) | C/LW/RW | 26 | 1/12/1995 | No | 85 Kg | 188 CM | No | No | No | 3 | Pro & Farm | 1,500,000$ | 1,285,714$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | Lien | |||||||
| Deven Sideroff | SAN DIEGO Gulls (ANH) | RW | 24 | 4/14/1997 | No | 78 Kg | 180 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | Lien | |||||||||
| Eamon McAdam | SAN DIEGO Gulls (ANH) | G | 26 | 9/24/1994 | Yes | 91 Kg | 183 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | ||||||||||
| Evgeny Svechnikov | SAN DIEGO Gulls (ANH) | RW | 24 | 10/31/1996 | No | 95 Kg | 191 CM | No | No | No | 1 | Pro & Farm | 850,000$ | 728,571$ | 850,000$ | 728,571$ | 0$ | 0$ | No | Lien | |||||||||
| Filip Zadina | SAN DIEGO Gulls (ANH) | RW | 21 | 11/27/1999 | No | 86 Kg | 183 CM | No | No | No | 6 | Pro & Farm | 2,000,000$ | 1,714,286$ | 2,000,000$ | 1,714,286$ | 0$ | 0$ | No | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | Lien | ||||
| Jordie Benn | SAN DIEGO Gulls (ANH) | D | 34 | 7/26/1987 | No | 90 Kg | 188 CM | No | No | No | 2 | Pro & Farm | 2,200,000$ | 1,885,714$ | 2,200,000$ | 1,885,714$ | 0$ | 0$ | No | 2,200,000$ | Lien | ||||||||
| Julien Gauthier | SAN DIEGO Gulls (ANH) | RW | 23 | 10/15/1997 | No | 103 Kg | 193 CM | No | No | No | 1 | Pro & Farm | 850,000$ | 728,571$ | 850,000$ | 728,571$ | 0$ | 0$ | No | Lien | |||||||||
| Mark Jankowski | SAN DIEGO Gulls (ANH) | C/LW | 27 | 9/13/1994 | No | 96 Kg | 193 CM | No | No | No | 1 | Pro & Farm | 2,000,000$ | 1,714,286$ | 2,000,000$ | 1,714,286$ | 0$ | 0$ | No | Lien | |||||||||
| Mathieu Joseph | SAN DIEGO Gulls (ANH) | RW | 24 | 2/9/1997 | No | 86 Kg | 185 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
| Matthew Highmore | SAN DIEGO Gulls (ANH) | C/LW/RW | 25 | 2/27/1996 | No | 85 Kg | 180 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | Lien | |||||||||
| Michael Amadio | SAN DIEGO Gulls (ANH) | C | 25 | 5/13/1996 | No | 93 Kg | 185 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | Lien | |||||||||
| Morgan Geekie | SAN DIEGO Gulls (ANH) | C | 23 | 7/20/1998 | No | 87 Kg | 191 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 642,857$ | 750,000$ | 642,857$ | 0$ | 0$ | No | Lien | |||||||||
| Sonny Milano | SAN DIEGO Gulls (ANH) | LW/RW | 25 | 5/12/1996 | No | 88 Kg | 183 CM | No | No | No | 1 | Pro & Farm | 1,700,000$ | 1,457,143$ | 1,700,000$ | 1,457,143$ | 0$ | 0$ | No | Lien | |||||||||
| Ville Pokka | SAN DIEGO Gulls (ANH) | D | 27 | 3/6/1994 | No | 94 Kg | 183 CM | No | No | No | 2 | Pro & Farm | 1,000,000$ | 857,143$ | 1,000,000$ | 857,143$ | 0$ | 0$ | No | 1,000,000$ | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 17 | 25.24 | 90 Kg | 185 CM | 1.65 | 1,117,647$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Julien Gauthier | Michael Amadio | Christian Fischer | 31 | 1 | 2 | 2 |
| 2 | Deven Sideroff | Evgeny Svechnikov | Mathieu Joseph | 26 | 1 | 2 | 2 |
| 3 | Mathieu Joseph | Christian Fischer | Julien Gauthier | 23 | 1 | 2 | 2 |
| 4 | Michael Amadio | Evgeny Svechnikov | 20 | 1 | 2 | 2 | |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Jordie Benn | Chris Bigras | 31 | 1 | 2 | 2 | |
| 2 | Ville Pokka | 26 | 1 | 2 | 2 | ||
| 3 | Jordie Benn | Chris Bigras | 23 | 1 | 2 | 2 | |
| 4 | Ville Pokka | 20 | 1 | 2 | 2 | ||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Julien Gauthier | Michael Amadio | Christian Fischer | 55 | 1 | 2 | 2 |
| 2 | Deven Sideroff | Evgeny Svechnikov | Mathieu Joseph | 45 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Jordie Benn | Chris Bigras | 55 | 1 | 2 | 2 | |
| 2 | Ville Pokka | 45 | 1 | 2 | 2 | ||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Christian Fischer | Mathieu Joseph | 55 | 1 | 2 | 2 |
| 2 | Julien Gauthier | Evgeny Svechnikov | 45 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jordie Benn | Chris Bigras | 55 | 1 | 2 | 2 |
| 2 | Ville Pokka | 45 | 1 | 2 | 2 | |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Christian Fischer | 55 | 1 | 2 | 2 | Jordie Benn | Chris Bigras | 55 | 1 | 2 | 2 |
| 2 | Mathieu Joseph | 45 | 1 | 2 | 2 | Ville Pokka | 45 | 1 | 2 | 2 | |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Christian Fischer | Mathieu Joseph | 55 | 1 | 2 | 2 |
| 2 | Julien Gauthier | Evgeny Svechnikov | 45 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jordie Benn | Chris Bigras | 55 | 1 | 2 | 2 |
| 2 | Ville Pokka | 45 | 1 | 2 | 2 | |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Julien Gauthier | Michael Amadio | Christian Fischer | Jordie Benn | Chris Bigras |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Julien Gauthier | Michael Amadio | Christian Fischer | Jordie Benn | Chris Bigras |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Deven Sideroff, Michael Amadio, Julien Gauthier | Deven Sideroff, Michael Amadio | Julien Gauthier |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Jordie Benn, Chris Bigras, Ville Pokka | Jordie Benn | Chris Bigras, Ville Pokka |
| Tirs de pénalité |
|---|
| Christian Fischer, Mathieu Joseph, Julien Gauthier, Evgeny Svechnikov, Michael Amadio |
| Gardien |
|---|
| #1 : , #2 : |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Christian Fischer, Mathieu Joseph, Julien Gauthier, Evgeny Svechnikov, Michael Amadio, Deven Sideroff, Deven Sideroff, , , , |
| Lignes de défense personnalisées en prolongation |
|---|
| Jordie Benn, Chris Bigras, Ville Pokka, , |
| 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
| 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 |
|---|
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 15 |
| Assistance | 0.00% | 0.00% |
| 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 |
| 40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 1,900,000$ | 1,810,000$ | 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$ | 12 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 80 | 47 | 67 | 114 | -178 | 12 | 104 | 145 | 291 | 16.15% | 63 | 1940 | 24.26 | 16 | 31 | 47 | 31 | 0 | 0 | 0 | 0 | 1 | 0 | 55.60% | 4 | 1.18 | 0 | 0 | |
| 2 | 80 | 44 | 67 | 111 | -164 | 54 | 120 | 130 | 296 | 14.86% | 75 | 1970 | 24.64 | 14 | 35 | 49 | 38 | 1 | 1 | 2 | 5 | 0 | 0 | 51.79% | 3 | 1.13 | 0 | 0 | |
| 3 | 80 | 42 | 62 | 104 | -151 | 6 | 105 | 135 | 292 | 14.38% | 79 | 1973 | 24.66 | 17 | 22 | 39 | 43 | 1 | 1 | 2 | 5 | 3 | 2 | 49.47% | 3 | 1.05 | 0 | 0 | |
| 4 | 80 | 34 | 44 | 78 | -181 | 15 | 110 | 127 | 348 | 9.77% | 72 | 1876 | 23.46 | 8 | 7 | 15 | 19 | 1 | 1 | 2 | 8 | 2 | 0 | 39.83% | 1 | 0.83 | 0 | 0 | |
| 5 | 80 | 34 | 40 | 74 | -181 | 22 | 122 | 142 | 353 | 9.63% | 72 | 1819 | 22.74 | 4 | 10 | 14 | 14 | 1 | 1 | 2 | 6 | 0 | 0 | 52.49% | 1 | 0.81 | 0 | 0 |
| # | 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 |
| Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 37 | 80 | 4 | 74 | 0 | 1 | 1 | 0 | 0 | 204 | 811 | -607 | 40 | 2 | 37 | 0 | 1 | 0 | 0 | 0 | 106 | 393 | -287 | 40 | 2 | 37 | 0 | 0 | 1 | 0 | 0 | 98 | 418 | -320 | 11 | 204 | 386 | 590 | 0 | 0 | 24 | 83 | 96 | 1 | 1592 | 462 | 512 | 616 | 2 | 3474 | 1135 | 902 | 754 | 178 | 52 | 29.21% | 425 | 272 | 36.00% | 7 | 217 | 1035 | 20.97% | 294 | 1477 | 19.91% | 435 | 1904 | 22.85% | 993 | 457 | 2279 | 1000 | 1527 | 485 |
| 37 | 80 | 4 | 74 | 0 | 1 | 1 | 0 | 0 | 204 | 804 | -600 | 40 | 2 | 37 | 0 | 1 | 0 | 0 | 0 | 106 | 393 | -287 | 40 | 2 | 37 | 0 | 0 | 1 | 0 | 0 | 98 | 411 | -313 | 11 | 204 | 386 | 590 | 0 | 0 | 25 | 82 | 96 | 1 | 1595 | 465 | 509 | 619 | 2 | 3480 | 1128 | 898 | 759 | 179 | 52 | 29.05% | 423 | 270 | 36.17% | 7 | 220 | 1043 | 21.09% | 296 | 1480 | 20.00% | 434 | 1898 | 22.87% | 991 | 456 | 2286 | 1001 | 1523 | 483 |
| 38 | 80 | 6 | 72 | 0 | 1 | 1 | 0 | 0 | 253 | 729 | -476 | 40 | 4 | 34 | 0 | 1 | 1 | 0 | 0 | 138 | 348 | -210 | 40 | 2 | 38 | 0 | 0 | 0 | 0 | 0 | 115 | 381 | -266 | 15 | 253 | 424 | 677 | 0 | 0 | 65 | 100 | 87 | 1 | 2314 | 744 | 819 | 748 | 3 | 3241 | 1101 | 453 | 1299 | 208 | 77 | 37.02% | 204 | 134 | 34.31% | 4 | 761 | 1485 | 51.25% | 529 | 1055 | 50.14% | 864 | 1609 | 53.70% | 1426 | 659 | 1721 | 754 | 1654 | 854 |
| Total Saison régulière | 240 | 14 | 220 | 0 | 3 | 3 | 0 | 0 | 661 | 2344 | -1683 | 120 | 8 | 108 | 0 | 3 | 1 | 0 | 0 | 350 | 1134 | -784 | 120 | 6 | 112 | 0 | 0 | 2 | 0 | 0 | 311 | 1210 | -899 | 37 | 661 | 1196 | 1857 | 0 | 0 | 114 | 265 | 279 | 3 | 5501 | 1671 | 1840 | 1983 | 7 | 10195 | 3364 | 2253 | 2812 | 565 | 181 | 32.04% | 1052 | 676 | 35.74% | 18 | 1198 | 3563 | 33.62% | 1119 | 4012 | 27.89% | 1733 | 5411 | 32.03% | 3410 | 1572 | 6288 | 2756 | 4706 | 1823 |
| # | 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 |
|---|
BELLEVILLE Senators
BINGHAMTON Devils
BRIDGEPORT Sound Tigers
BROOKLYN Wolfpack
CAROLINA Checkers
GRAND RAPIDS Griffins
HERSEY Bears
LAVAL Rocket
LEHIGH VALLEY Phantoms
PROVIDENCE Bruins
ROCHESTER Americans
SCRANTON Penguins
SYRACUSE Crunch
BAKERSFIELD Condors
CHICAGO Wolves
CLEVELAND Monsters
COLORADO Eagles
IOWA Wild
MANITOBA Moose
MILWAUKEE Admirals
ROCKFORD IceHogs
SAN ANTONIO Rampage
STOCKTON Flames
TUSCON Roadrunners
UTICA Comets
