 | Marlies |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Pascal Landry | Morale : 40 | Moyenne d'Équipe : 64 |
| 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 | Linden Vey (R) | X | 100.00 | 72 | 33 | 74 | 76 | 69 | 75 | 77 | 75 | 77 | 75 | 77 | 63 | 69 | 57 | 52 | 37 | 40 | 71 | 0 | 25 | 1 | 995,000$ | ||||
| 2 | Nick Ritchie (R) | X | 100.00 | 77 | 40 | 72 | 76 | 82 | 63 | 85 | 76 | 64 | 75 | 77 | 63 | 59 | 52 | 46 | 66 | 40 | 71 | 0 | 20 | 2 | 950,000$ | ||||
| 3 | JT Compher (R) | X | 100.00 | 67 | 28 | 85 | 74 | 79 | 74 | 78 | 78 | 64 | 68 | 81 | 60 | 71 | 51 | 44 | 59 | 40 | 70 | 0 | 21 | 2 | 950,000$ | ||||
| 4 | Colton Sissons (R) | X | 100.00 | 77 | 51 | 70 | 74 | 72 | 69 | 70 | 74 | 76 | 69 | 66 | 66 | 73 | 51 | 46 | 41 | 40 | 69 | 0 | 23 | 2 | 800,000$ | ||||
| 5 | Justin Bailey (R) | X | 100.00 | 70 | 34 | 83 | 64 | 77 | 72 | 68 | 71 | 75 | 70 | 84 | 55 | 66 | 49 | 43 | 57 | 40 | 69 | 0 | 21 | 1 | 900,000$ | ||||
| 6 | Pavel Zacha (R) | X | 100.00 | 67 | 27 | 82 | 64 | 78 | 68 | 68 | 72 | 69 | 74 | 85 | 55 | 67 | 44 | 42 | 76 | 40 | 69 | 0 | 19 | 1 | 500,000$ | ||||
| 7 | Nicholas Baptiste (R) | X | 100.00 | 73 | 40 | 72 | 76 | 74 | 56 | 72 | 74 | 59 | 72 | 73 | 63 | 62 | 44 | 44 | 55 | 40 | 68 | 0 | 21 | 3 | 700,000$ | ||||
| 8 | Johan Larsson (R) | X | 100.00 | 63 | 37 | 75 | 73 | 62 | 71 | 66 | 68 | 75 | 75 | 71 | 50 | 61 | 46 | 46 | 39 | 40 | 66 | 0 | 24 | 1 | 600,000$ | ||||
| 9 | Shane Prince (R) | X | 100.00 | 65 | 35 | 80 | 66 | 75 | 69 | 72 | 65 | 73 | 62 | 75 | 56 | 67 | 56 | 55 | 37 | 40 | 66 | 0 | 24 | 1 | 500,000$ | ||||
| 10 | Aleksi Saarela (R) | X | 100.00 | 58 | 25 | 71 | 79 | 55 | 60 | 50 | 72 | 59 | 65 | 69 | 51 | 73 | 42 | 42 | 76 | 40 | 63 | 0 | 19 | 1 | 500,000$ | ||||
| 11 | Logan Brown (R) | X | 100.00 | 74 | 48 | 63 | 68 | 75 | 54 | 78 | 64 | 55 | 66 | 65 | 52 | 53 | 40 | 40 | 83 | 40 | 62 | 0 | 18 | 2 | 500,000$ | ||||
| 12 | Henri Ikonen (R) | X | 100.00 | 69 | 43 | 62 | 64 | 60 | 46 | 71 | 65 | 56 | 65 | 64 | 57 | 43 | 43 | 43 | 43 | 40 | 60 | 0 | 21 | 1 | 500,000$ | ||||
| 13 | Mathieu Olivier (R) | X | 100.00 | 73 | 43 | 67 | 66 | 78 | 48 | 66 | 59 | 56 | 63 | 62 | 56 | 53 | 42 | 43 | 70 | 40 | 60 | 0 | 19 | 2 | 500,000$ | ||||
| 14 | Tyler Benson (R) | X | 100.00 | 73 | 43 | 62 | 64 | 75 | 51 | 73 | 63 | 49 | 63 | 66 | 56 | 47 | 40 | 40 | 82 | 40 | 60 | 0 | 18 | 2 | 500,000$ | ||||
| 15 | Jakob Forsbacka-Karlsson (R) | X | 100.00 | 64 | 36 | 62 | 66 | 53 | 56 | 51 | 52 | 58 | 49 | 67 | 50 | 51 | 43 | 43 | 56 | 40 | 56 | 0 | 20 | 4 | 400,000$ | ||||
| 16 | Haydn Fleury (R) | X | 100.00 | 71 | 35 | 88 | 72 | 75 | 61 | 75 | 65 | 39 | 72 | 58 | 86 | 56 | 50 | 43 | 60 | 40 | 72 | 0 | 20 | 2 | 950,000$ | ||||
| 17 | Tim Erixon (R) | X | 100.00 | 74 | 40 | 84 | 70 | 71 | 78 | 71 | 74 | 61 | 71 | 66 | 75 | 65 | 63 | 49 | 36 | 40 | 72 | 0 | 25 | 1 | 950,000$ | ||||
| 18 | Neal Pionk (R) | X | 100.00 | 65 | 33 | 88 | 78 | 59 | 64 | 73 | 85 | 43 | 81 | 68 | 75 | 51 | 49 | 46 | 61 | 40 | 71 | 0 | 21 | 1 | 500,000$ | ||||
| 19 | Brett Pesce (R) | X | 100.00 | 63 | 30 | 78 | 82 | 69 | 67 | 75 | 75 | 42 | 83 | 62 | 71 | 52 | 51 | 46 | 47 | 40 | 70 | 0 | 22 | 1 | 650,000$ | ||||
| 20 | Jeff Corbett (R) | X | 100.00 | 67 | 35 | 81 | 58 | 51 | 73 | 66 | 62 | 42 | 71 | 73 | 65 | 57 | 46 | 46 | 46 | 40 | 65 | 0 | 22 | 1 | 600,000$ | ||||
| 21 | Lucas Carlsson (R) | X | 100.00 | 69 | 38 | 81 | 62 | 66 | 62 | 59 | 56 | 33 | 55 | 43 | 68 | 40 | 42 | 41 | 75 | 40 | 62 | 0 | 19 | 2 | 500,000$ | ||||
| 22 | Dennis Gilbert (R) | X | 100.00 | 66 | 36 | 69 | 61 | 52 | 61 | 60 | 45 | 36 | 64 | 46 | 69 | 33 | 42 | 43 | 50 | 40 | 59 | 0 | 20 | 1 | 500,000$ | ||||
| 23 | Brycen Martin (R) | X | 100.00 | 54 | 28 | 59 | 66 | 50 | 40 | 48 | 67 | 21 | 66 | 44 | 63 | 35 | 42 | 42 | 56 | 40 | 56 | 0 | 20 | 1 | 300,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Zack MacEwen (R) | X | 100.00 | 62 | 42 | 58 | 58 | 68 | 58 | 66 | 56 | 50 | 58 | 60 | 49 | 51 | 43 | 44 | 45 | 40 | 56 | 0 | 20 | 1 | 500,000$ | ||||
| 2 | Otto Koivula (R) | X | 100.00 | 51 | 30 | 60 | 52 | 67 | 64 | 51 | 65 | 63 | 52 | 67 | 40 | 64 | 40 | 40 | 72 | 40 | 56 | 0 | 18 | 2 | 500,000$ | ||||
| 3 | Jaden Lindo (R) | X | 100.00 | 61 | 31 | 60 | 50 | 61 | 50 | 49 | 59 | 49 | 58 | 60 | 47 | 54 | 42 | 42 | 55 | 40 | 54 | 0 | 20 | 1 | 250,000$ | ||||
| 4 | Radovan Bondra (R) | X | 100.00 | 64 | 22 | 54 | 50 | 52 | 41 | 56 | 55 | 36 | 59 | 52 | 48 | 39 | 41 | 41 | 53 | 40 | 50 | 0 | 19 | 1 | 400,000$ | ||||
| 5 | Simon Bourque (R) | X | 100.00 | 37 | 30 | 51 | 53 | 42 | 41 | 56 | 53 | 24 | 59 | 36 | 56 | 43 | 41 | 41 | 58 | 40 | 48 | 0 | 19 | 1 | 400,000$ | ||||
| MOYENNE D'ÉQUIPE | 100.00 | 66 | 35 | 71 | 67 | 66 | 60 | 66 | 66 | 54 | 66 | 65 | 59 | 56 | 46 | 44 | 57 | 40 | 63 | ||||||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Malcolm Subban | 100.00 | 69 | 74 | 85 | 69 | 67 | 79 | 85 | 69 | 68 | 88 | 68 | 54 | 49 | 47 | 40 | 73 | 0 | |
| Rayé | ||||||||||||||||||||
| 1 | Charlie Lindgren | 100.00 | 72 | 76 | 78 | 57 | 64 | 90 | 77 | 58 | 55 | 76 | 74 | 52 | 47 | 57 | 40 | 68 | 0 | |
| 2 | Jamie Phillips | 100.00 | 75 | 67 | 80 | 55 | 57 | 77 | 72 | 58 | 54 | 76 | 61 | 47 | 45 | 35 | 40 | 64 | 0 | |
| MOYENNE D'ÉQUIPE | 100.00 | 72 | 72 | 81 | 60 | 63 | 82 | 78 | 62 | 59 | 80 | 68 | 51 | 47 | 46 | 40 | 68 | |||
| Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Peter DeBoer | 67 | 71 | 73 | 86 | 54 | 63 | 62 | Can | 55 | 4 | 666,000$ |
| 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 | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aleksi Saarela | Marlies (TOR) | C | 19 | 1997-01-01 | Yes | 200 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Brett Pesce | Marlies (TOR) | D | 22 | 1994-01-01 | Yes | 185 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | ||||||||||
| Brycen Martin | Marlies (TOR) | D | 20 | 1996-01-01 | Yes | 198 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 300,000$ | 300,000$ | 0$ | 0$ | No | ||||||||||
| Charlie Lindgren | Marlies (TOR) | G | 23 | 1993-01-01 | No | 180 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Colton Sissons | Marlies (TOR) | C | 23 | 1993-01-01 | Yes | 187 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 900,000$ | |||||||||
| Dennis Gilbert | Marlies (TOR) | D | 20 | 1996-01-01 | Yes | 216 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Haydn Fleury | Marlies (TOR) | D | 20 | 1996-01-01 | Yes | 208 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 1,200,000$ | |||||||||
| Henri Ikonen | Marlies (TOR) | LW | 21 | 1995-01-01 | Yes | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| JT Compher | Marlies (TOR) | LW | 21 | 1995-01-01 | Yes | 185 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 1,200,000$ | |||||||||
| Jaden Lindo | Marlies (TOR) | RW | 20 | 1996-01-01 | Yes | 215 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 250,000$ | 250,000$ | 0$ | 0$ | No | ||||||||||
| Jakob Forsbacka-Karlsson | Marlies (TOR) | C | 20 | 1996-01-01 | Yes | 184 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 400,000$ | 400,000$ | 0$ | 0$ | No | 450,000$ | 500,000$ | 550,000$ | |||||||
| Jamie Phillips | Marlies (TOR) | G | 23 | 1993-01-01 | No | 180 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 400,000$ | 400,000$ | 0$ | 0$ | No | ||||||||||
| Jeff Corbett | Marlies (TOR) | D | 22 | 1994-01-01 | Yes | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
| Johan Larsson | Marlies (TOR) | LW | 24 | 1992-01-01 | Yes | 206 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
| Justin Bailey | Marlies (TOR) | RW | 21 | 1995-01-01 | Yes | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | ||||||||||
| Linden Vey | Marlies (TOR) | RW | 25 | 1991-01-01 | Yes | 189 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 995,000$ | 995,000$ | 0$ | 0$ | No | ||||||||||
| Logan Brown | Marlies (TOR) | C | 18 | 1998-01-01 | Yes | 227 Lbs | 6 ft6 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Lucas Carlsson | Marlies (TOR) | D | 19 | 1997-01-01 | Yes | 190 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Malcolm Subban | Marlies (TOR) | G | 23 | 1993-01-01 | No | 195 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | ||||||||||
| Mathieu Olivier | Marlies (TOR) | RW | 19 | 1997-01-01 | Yes | 209 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Neal Pionk | Marlies (TOR) | D | 21 | 1995-01-01 | Yes | 186 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Nicholas Baptiste | Marlies (TOR) | RW | 21 | 1995-01-01 | Yes | 185 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 800,000$ | 900,000$ | ||||||||
| Nick Ritchie | Marlies (TOR) | LW | 20 | 1996-01-01 | Yes | 180 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 1,200,000$ | |||||||||
| Otto Koivula | Marlies (TOR) | LW | 18 | 1998-01-01 | Yes | 220 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Pavel Zacha | Marlies (TOR) | C | 19 | 1997-01-01 | Yes | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Radovan Bondra | Marlies (TOR) | RW | 19 | 1997-01-01 | Yes | 217 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 400,000$ | 400,000$ | 0$ | 0$ | No | ||||||||||
| Shane Prince | Marlies (TOR) | C | 24 | 1992-01-01 | Yes | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Simon Bourque | Marlies (TOR) | D | 19 | 1997-01-01 | Yes | 198 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 400,000$ | 400,000$ | 0$ | 0$ | No | ||||||||||
| Tim Erixon | Marlies (TOR) | D | 25 | 1991-01-01 | Yes | 200 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | ||||||||||
| Tyler Benson | Marlies (TOR) | LW | 18 | 1998-01-01 | Yes | 190 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Zack MacEwen | Marlies (TOR) | C | 20 | 1996-01-01 | Yes | 205 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No |
| Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
|---|---|---|---|---|---|
| 31 | 20.87 | 196 Lbs | 6 ft1 | 1.45 | 596,613$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Attaque en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Défense en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| 3 joueurs en Désavantage Numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Défense Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Attaquants Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| , , | , | |
| Défenseurs Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| , , | , | |
| Tirs de Pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #2 : |
| 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 |
| Ligue | 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 Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
| 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 Éxtérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| 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% |
| Revenus | |||||
|---|---|---|---|---|---|
| Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité | Popularité de l'Équipe | 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
| 0$ | 1,849,500$ | 1,565,000$ | 0$ |
| Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Éstimation | |||
|---|---|---|---|
| Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
| 0$ | 0 | 0$ | 0$ |
| Ligue | 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 |
Admirals
Barracuda
Condors
Griffins
Heat
Icehogs
Monsters
Moose
Phantoms
Reign
Rocket
Senators
Bears
Comets
Crunch
Devils
Eagles
Little Stars
Penguins
Punishers
Rampage
Sound Tigers
Thunderbirds
Wolfpack
Wolves