 | 67s |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Farlou Ferland | Morale : 50 | Moyenne d’équipe : N/A |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | Alex Turcotte (R) | 0 | X | 100.00 | 74 | 71 | 82 | 74 | 71 | 57 | 56 | 61 | 76 | 59 | 58 | 64 | 55 | 45 | 45 | 62 | 50 | 0 | 0 | 22 | 1 | 2,475,000$ | ||||
| 2 | Carl Grundstrom | 0 | X | X | 100.00 | 90 | 46 | 90 | 80 | 73 | 58 | 73 | 58 | 38 | 61 | 72 | 65 | 25 | 62 | 63 | 71 | 50 | 0 | 0 | 25 | 3 | 750,000$ | |||
| 3 | Tyson Foerster (R) | 0 | X | X | 100.00 | 73 | 72 | 76 | 63 | 72 | 63 | 64 | 63 | 79 | 60 | 62 | 64 | 59 | 45 | 45 | 63 | 50 | 0 | 0 | 21 | 3 | 863,333$ | |||
| 4 | Will Cuylle (R) | 0 | X | 100.00 | 78 | 79 | 77 | 64 | 79 | 78 | 82 | 62 | 50 | 55 | 65 | 66 | 62 | 44 | 44 | 66 | 50 | 0 | 0 | 21 | 3 | 902,500$ | ||||
| 5 | Garnet Hathaway | 0 | X | X | 100.00 | 97 | 70 | 77 | 75 | 80 | 61 | 97 | 58 | 32 | 60 | 68 | 79 | 25 | 70 | 72 | 71 | 50 | 0 | 0 | 31 | 2 | 1,500,000$ | |||
| 6 | Greg McKegg | 0 | X | X | 100.00 | 71 | 70 | 74 | 71 | 70 | 67 | 72 | 53 | 66 | 49 | 48 | 65 | 46 | 65 | 65 | 56 | 50 | 0 | 0 | 31 | 2 | 750,000$ | |||
| 7 | Marco Rossi (R) | 0 | X | 100.00 | 61 | 41 | 87 | 77 | 64 | 63 | 85 | 65 | 74 | 55 | 55 | 66 | 25 | 45 | 45 | 61 | 50 | 0 | 0 | 21 | 3 | 1,744,167$ | ||||
| 8 | Hendrix Lapierre (R) | 0 | X | 100.00 | 69 | 65 | 79 | 74 | 65 | 67 | 70 | 59 | 74 | 53 | 61 | 60 | 58 | 44 | 44 | 62 | 50 | 0 | 0 | 20 | 3 | 1,105,833$ | ||||
| 9 | Tuukka Tieksola (R) | 0 | X | 100.00 | 68 | 59 | 88 | 66 | 59 | 58 | 59 | 58 | 50 | 56 | 56 | 60 | 53 | 44 | 44 | 60 | 50 | 0 | 0 | 22 | 3 | 843,333$ | ||||
| 10 | Ryan Carpenter | 0 | X | X | 100.00 | 81 | 44 | 86 | 77 | 73 | 54 | 86 | 55 | 77 | 59 | 57 | 72 | 25 | 65 | 65 | 64 | 50 | 0 | 0 | 32 | 2 | 1,000,000$ | |||
| 11 | Ryan Dzingel | 0 | X | X | X | 100.00 | 74 | 70 | 82 | 78 | 70 | 50 | 50 | 55 | 69 | 53 | 48 | 67 | 46 | 66 | 66 | 57 | 50 | 0 | 0 | 31 | 2 | 1,100,000$ | ||
| 12 | Tyson Jost | 0 | X | 100.00 | 73 | 57 | 85 | 85 | 68 | 65 | 93 | 58 | 64 | 70 | 59 | 75 | 75 | 68 | 71 | 68 | 50 | 0 | 0 | 25 | 1 | 1,673,333$ | ||||
| 13 | Ronnie Attard | 0 | X | 100.00 | 79 | 77 | 83 | 73 | 77 | 73 | 78 | 56 | 25 | 46 | 52 | 65 | 49 | 45 | 45 | 61 | 50 | 0 | 0 | 24 | 1 | 1,350,000$ | ||||
| 14 | Nils Lundkvist | 0 | X | 100.00 | 71 | 42 | 87 | 76 | 67 | 70 | 77 | 69 | 25 | 52 | 50 | 67 | 25 | 55 | 55 | 61 | 50 | 0 | 0 | 23 | 3 | 1,775,000$ | ||||
| 15 | Vincent Iorio (R) | 0 | X | 100.00 | 82 | 77 | 94 | 65 | 77 | 73 | 79 | 50 | 25 | 46 | 40 | 65 | 38 | 44 | 44 | 55 | 50 | 0 | 0 | 20 | 3 | 894,167$ | ||||
| 16 | Jacob Bernard-Docker (R) | 0 | X | 100.00 | 77 | 77 | 83 | 75 | 72 | 69 | 79 | 57 | 25 | 44 | 47 | 72 | 25 | 46 | 46 | 60 | 50 | 0 | 0 | 23 | 3 | 1,208,333$ | ||||
| 17 | Lassi Thomson | 0 | X | 100.00 | 75 | 70 | 85 | 72 | 70 | 71 | 75 | 55 | 25 | 50 | 46 | 63 | 44 | 45 | 45 | 58 | 50 | 0 | 0 | 22 | 1 | 1,350,000$ | ||||
| 18 | Tyler Tucker (R) | 0 | X | 100.00 | 84 | 99 | 68 | 63 | 78 | 65 | 86 | 62 | 25 | 50 | 48 | 68 | 25 | 46 | 46 | 59 | 50 | 0 | 0 | 23 | 3 | 808,333$ | ||||
| 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 | 50 | 0 | 0 | 23 | 3 | 925,000$ | ||||
| 2 | Samuel Knazko (R) | 0 | X | 100.00 | 76 | 70 | 89 | 64 | 70 | 61 | 64 | 52 | 25 | 50 | 39 | 62 | 37 | 44 | 44 | 54 | 50 | 0 | 0 | 21 | 3 | 902,500$ | ||||
| 3 | Helge Grans (R) | 0 | X | 100.00 | 80 | 77 | 88 | 60 | 77 | 68 | 74 | 46 | 25 | 36 | 40 | 63 | 38 | 44 | 44 | 52 | 50 | 0 | 0 | 21 | 3 | 925,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 76 | 67 | 83 | 71 | 71 | 64 | 74 | 57 | 48 | 52 | 53 | 66 | 42 | 51 | 52 | 61 | 50 | 0 | |||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Chris Driedger | 0 | 100.00 | 55 | 48 | 60 | 84 | 57 | 58 | 55 | 60 | 59 | 58 | 30 | 51 | 52 | 56 | 50 | 0 | 0 | 29 | 2 | 3,500,000$ | |
| 2 | Louis Domingue | 0 | 100.00 | 56 | 47 | 59 | 82 | 59 | 59 | 56 | 61 | 61 | 60 | 30 | 59 | 60 | 58 | 50 | 0 | 0 | 31 | 2 | 750,000$ | |
| Rayé | ||||||||||||||||||||||||
| 1 | Mitchell Weeks (R) | 0 | 100.00 | 56 | 60 | 75 | 76 | 56 | 57 | 54 | 61 | 55 | 55 | 30 | 44 | 44 | 57 | 50 | 0 | N | 0 | 22 | 1 | 750,000$ |
| 2 | Malcolm Subban | 0 | 100.00 | 52 | 42 | 53 | 81 | 55 | 54 | 51 | 56 | 55 | 54 | 30 | 55 | 55 | 53 | 50 | 0 | 0 | 29 | 2 | 850,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 55 | 49 | 62 | 81 | 57 | 57 | 54 | 60 | 58 | 57 | 30 | 52 | 53 | 56 | 50 | 0 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Stevens | 82 | 85 | 86 | 81 | 83 | 78 | 68 | CAN | 58 | 2 | 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 | 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 Turcotte | 67s (OTT) | C | 22 | 2001-02-25 | Yes | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,475,000$ | 1,060,714$ | 925,000$ | 396,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Blake McLaughlin | 67s (OTT) | LW | 23 | 2000-02-14 | Yes | 173 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 925,000$ | 396,429$ | 925,000$ | 396,429$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Carl Grundstrom | 67s (OTT) | LW/RW | 25 | 1997-12-01 | No | 201 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 750,000$ | 321,429$ | 750,000$ | 321,429$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
| Chris Driedger | 67s (OTT) | G | 29 | 1994-05-18 | No | 205 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Farm Only | 3,500,000$ | 1,500,000$ | 3,500,000$ | 1,500,000$ | 0$ | 0$ | No | 3,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Garnet Hathaway | 67s (OTT) | LW/RW | 31 | 1991-11-23 | No | 210 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,500,000$ | 642,857$ | 1,500,000$ | 642,857$ | 0$ | 0$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Greg McKegg | 67s (OTT) | C/LW | 31 | 1992-06-17 | No | 192 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 321,429$ | 750,000$ | 321,429$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Helge Grans | 67s (OTT) | D | 21 | 2002-05-10 | Yes | 206 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 925,000$ | 396,429$ | 925,000$ | 396,429$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
| Hendrix Lapierre | 67s (OTT) | C | 20 | 2002-09-02 | Yes | 179 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,105,833$ | 473,928$ | 1,105,833$ | 473,928$ | 0$ | 0$ | No | 1,105,833$ | 1,105,833$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Jacob Bernard-Docker | 67s (OTT) | D | 23 | 2000-06-30 | Yes | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,208,333$ | 517,857$ | 1,208,333$ | 517,857$ | 0$ | 0$ | No | 1,208,333$ | 1,208,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
| Lassi Thomson | 67s (OTT) | D | 22 | 2000-09-24 | No | 192 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,350,000$ | 578,571$ | 894,167$ | 383,214$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Louis Domingue | 67s (OTT) | G | 31 | 1992-03-06 | No | 208 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 321,429$ | 750,000$ | 321,429$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Malcolm Subban | 67s (OTT) | G | 29 | 1993-12-21 | No | 215 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 850,000$ | 364,286$ | 850,000$ | 364,286$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Marco Rossi | 67s (OTT) | C | 21 | 2001-09-23 | Yes | 183 Lbs | 5 ft9 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,744,167$ | 747,500$ | 1,744,167$ | 747,500$ | 0$ | 0$ | No | 1,744,167$ | 1,744,167$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
| Mitchell Weeks | 67s (OTT) | G | 22 | 2001-06-22 | Yes | 187 Lbs | 6 ft3 | Yes | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 321,429$ | 750,000$ | 321,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Nils Lundkvist | 67s (OTT) | D | 23 | 2000-07-27 | No | 187 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,775,000$ | 760,714$ | 1,775,000$ | 760,714$ | 0$ | 0$ | No | 1,775,000$ | 1,775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
| Ronnie Attard | 67s (OTT) | D | 24 | 1999-03-20 | No | 205 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,350,000$ | 578,571$ | 1,350,000$ | 578,571$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Ryan Carpenter | 67s (OTT) | C/RW | 32 | 1991-01-18 | No | 200 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,000,000$ | 428,571$ | 1,000,000$ | 428,571$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Ryan Dzingel | 67s (OTT) | C/LW/RW | 31 | 1992-03-09 | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,100,000$ | 471,429$ | 1,100,000$ | 471,429$ | 0$ | 0$ | No | 1,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Samuel Knazko | 67s (OTT) | D | 21 | 2002-07-08 | Yes | 191 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 902,500$ | 386,786$ | 902,500$ | 386,786$ | 0$ | 0$ | No | 902,500$ | 902,500$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Tuukka Tieksola | 67s (OTT) | RW | 22 | 2001-06-22 | Yes | 160 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 843,333$ | 361,428$ | 843,333$ | 361,428$ | 0$ | 0$ | No | 843,333$ | 843,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Tyler Tucker | 67s (OTT) | D | 23 | 2000-03-01 | Yes | 205 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 808,333$ | 346,428$ | 808,333$ | 346,428$ | 0$ | 0$ | No | 808,333$ | 808,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
| Tyson Foerster | 67s (OTT) | C/RW | 21 | 2002-01-18 | Yes | 194 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 863,333$ | 370,000$ | 863,333$ | 370,000$ | 0$ | 0$ | No | 863,333$ | 863,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Tyson Jost | 67s (OTT) | C | 25 | 1998-03-14 | No | 187 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,673,333$ | 717,143$ | 1,673,333$ | 717,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Vincent Iorio | 67s (OTT) | D | 20 | 2002-11-14 | Yes | 200 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 894,167$ | 383,214$ | 894,167$ | 383,214$ | 0$ | 0$ | No | 894,167$ | 894,167$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Will Cuylle | 67s (OTT) | LW | 21 | 2002-05-02 | Yes | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 902,500$ | 386,786$ | 902,500$ | 386,786$ | 0$ | 0$ | No | 902,500$ | 902,500$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 25 | 24.52 | 194 Lbs | 6 ft1 | 2.32 | 1,227,833$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Garnet Hathaway | Tyson Jost | Carl Grundstrom | 35 | 1 | 2 | 2 |
| 2 | Will Cuylle | Ryan Carpenter | Tyson Foerster | 30 | 1 | 2 | 2 |
| 3 | Ryan Dzingel | Alex Turcotte | Tuukka Tieksola | 25 | 1 | 2 | 2 |
| 4 | Greg McKegg | Marco Rossi | Garnet Hathaway | 10 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Nils Lundkvist | Ronnie Attard | 35 | 1 | 2 | 2 | |
| 2 | Tyler Tucker | Jacob Bernard-Docker | 30 | 1 | 2 | 2 | |
| 3 | Lassi Thomson | Vincent Iorio | 25 | 1 | 2 | 2 | |
| 4 | Nils Lundkvist | Ronnie Attard | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Garnet Hathaway | Tyson Jost | Carl Grundstrom | 60 | 1 | 2 | 2 |
| 2 | Will Cuylle | Ryan Carpenter | Tyson Foerster | 40 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Nils Lundkvist | Ronnie Attard | 60 | 1 | 2 | 2 | |
| 2 | Tyler Tucker | Jacob Bernard-Docker | 40 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Garnet Hathaway | Tyson Jost | 60 | 1 | 2 | 2 |
| 2 | Carl Grundstrom | Ryan Carpenter | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Nils Lundkvist | Ronnie Attard | 60 | 1 | 2 | 2 |
| 2 | Tyler Tucker | Jacob Bernard-Docker | 40 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Garnet Hathaway | 60 | 1 | 2 | 2 | Nils Lundkvist | Ronnie Attard | 60 | 1 | 2 | 2 |
| 2 | Tyson Jost | 40 | 1 | 2 | 2 | Tyler Tucker | Jacob Bernard-Docker | 40 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Garnet Hathaway | Tyson Jost | 60 | 1 | 2 | 2 |
| 2 | Carl Grundstrom | Ryan Carpenter | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Nils Lundkvist | Ronnie Attard | 60 | 1 | 2 | 2 |
| 2 | Tyler Tucker | Jacob Bernard-Docker | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Garnet Hathaway | Tyson Jost | Carl Grundstrom | Nils Lundkvist | Ronnie Attard |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Garnet Hathaway | Tyson Jost | Carl Grundstrom | Nils Lundkvist | Ronnie Attard |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Hendrix Lapierre, Alex Turcotte, Marco Rossi | Hendrix Lapierre, Alex Turcotte | Marco Rossi |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Lassi Thomson, Vincent Iorio, Tyler Tucker | Lassi Thomson | Vincent Iorio, Tyler Tucker |
| Tirs de pénalité |
|---|
| Garnet Hathaway, Tyson Jost, Carl Grundstrom, Ryan Carpenter, Will Cuylle |
| Gardien |
|---|
| #1 : Louis Domingue, #2 : Chris Driedger |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Garnet Hathaway, Tyson Jost, Carl Grundstrom, Ryan Carpenter, Will Cuylle, Alex Turcotte, Alex Turcotte, Tyson Foerster, Marco Rossi, Ryan Dzingel, Hendrix Lapierre |
| Lignes de défense personnalisées en prolongation |
|---|
| Nils Lundkvist, Ronnie Attard, Tyler Tucker, Jacob Bernard-Docker, Lassi Thomson |
| 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 |
|---|
| 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 |
| 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$ | 3,069,582$ | 2,868,999$ | 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$ | 6 | 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 |
|---|
Bruins
Crunch
Heat
Marlies
Monsters
Penguins
Phantoms
Rocket
Wolf Pack
Barracuda
Condors
Eagles
Griffins
Gulls
IceHogs
Monarchs
Moose
Sound Tigers
Stars
Thunderbird
Wolves
