 | 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 : 63 |
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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 | Nicholas Baptiste (R) | X | 100.00 | 76 | 40 | 75 | 79 | 77 | 55 | 73 | 77 | 63 | 76 | 76 | 67 | 65 | 51 | 49 | 50 | 40 | 71 | 0 | 22 | 2 | 800,000$ | ||||
| 2 | Colton Sissons (R) | X | 100.00 | 78 | 52 | 72 | 76 | 74 | 71 | 72 | 73 | 77 | 71 | 68 | 69 | 74 | 59 | 49 | 37 | 40 | 70 | 0 | 24 | 1 | 900,000$ | ||||
| 3 | Logan Brown (R) | X | 100.00 | 76 | 48 | 67 | 74 | 77 | 58 | 80 | 69 | 60 | 71 | 70 | 59 | 59 | 42 | 42 | 76 | 40 | 66 | 0 | 19 | 1 | 500,000$ | ||||
| 4 | Mathieu Olivier (R) | X | 100.00 | 75 | 43 | 73 | 72 | 80 | 52 | 68 | 65 | 63 | 68 | 67 | 64 | 59 | 43 | 45 | 64 | 40 | 65 | 0 | 20 | 1 | 500,000$ | ||||
| 5 | Tyler Benson (R) | X | 100.00 | 76 | 43 | 67 | 69 | 77 | 55 | 76 | 69 | 55 | 68 | 71 | 64 | 53 | 42 | 42 | 74 | 40 | 65 | 0 | 19 | 1 | 500,000$ | ||||
| 6 | Haydn Fleury (R) | X | 100.00 | 74 | 35 | 90 | 74 | 77 | 67 | 77 | 69 | 44 | 75 | 62 | 88 | 60 | 61 | 45 | 55 | 40 | 75 | 0 | 21 | 1 | 1,200,000$ | ||||
| 7 | Lucas Carlsson (R) | X | 100.00 | 72 | 38 | 85 | 68 | 69 | 66 | 63 | 63 | 41 | 62 | 52 | 74 | 48 | 44 | 43 | 68 | 40 | 67 | 0 | 20 | 1 | 500,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Elias Pettersson (R) | X | 100.00 | 56 | 41 | 82 | 91 | 57 | 72 | 61 | 86 | 72 | 75 | 77 | 66 | 84 | 41 | 42 | 85 | 40 | 72 | 0 | 20 | 2 | 500,000$ | ||||
| 2 | Pavel Zacha (R) | X | 100.00 | 71 | 27 | 84 | 68 | 81 | 72 | 72 | 75 | 76 | 77 | 87 | 61 | 70 | 51 | 45 | 70 | 40 | 72 | 0 | 20 | 1 | 950,000$ | ||||
| 3 | Valentin Zykov (R) | X | 100.00 | 72 | 26 | 80 | 78 | 73 | 81 | 72 | 72 | 63 | 72 | 81 | 61 | 71 | 55 | 49 | 48 | 40 | 71 | 0 | 22 | 1 | 900,000$ | ||||
| 4 | Aleksi Saarela (R) | X | 100.00 | 66 | 25 | 75 | 82 | 63 | 68 | 58 | 75 | 67 | 68 | 72 | 58 | 76 | 49 | 44 | 69 | 40 | 67 | 0 | 20 | 3 | 700,000$ | ||||
| 5 | Martin Necas (R) | X | 100.00 | 55 | 35 | 77 | 70 | 49 | 63 | 65 | 62 | 81 | 84 | 70 | 47 | 52 | 40 | 40 | 85 | 40 | 64 | 0 | 19 | 2 | 500,000$ | ||||
| 6 | Alex Formenton (R) | X | 100.00 | 65 | 23 | 79 | 56 | 81 | 61 | 69 | 64 | 59 | 67 | 80 | 45 | 58 | 40 | 40 | 87 | 40 | 63 | 0 | 19 | 2 | 500,000$ | ||||
| 7 | Henri Ikonen (R) | X | 100.00 | 70 | 44 | 63 | 66 | 63 | 48 | 72 | 66 | 57 | 68 | 67 | 60 | 44 | 44 | 44 | 38 | 40 | 62 | 0 | 22 | 2 | 550,000$ | ||||
| 8 | Tobias Lindberg (R) | X | 100.00 | 68 | 42 | 69 | 70 | 58 | 59 | 65 | 61 | 67 | 61 | 62 | 54 | 64 | 44 | 44 | 38 | 40 | 61 | 0 | 22 | 2 | 500,000$ | ||||
| 9 | Jakob Forsbacka-Karlsson (R) | X | 100.00 | 67 | 38 | 65 | 67 | 55 | 58 | 53 | 54 | 60 | 51 | 68 | 54 | 53 | 44 | 44 | 49 | 40 | 58 | 0 | 21 | 3 | 450,000$ | ||||
| 10 | Otto Koivula (R) | X | 100.00 | 52 | 32 | 62 | 55 | 69 | 66 | 53 | 66 | 65 | 54 | 70 | 44 | 65 | 41 | 41 | 64 | 40 | 58 | 0 | 19 | 1 | 500,000$ | ||||
| 11 | Jaden Lindo (R) | X | 100.00 | 62 | 32 | 61 | 54 | 63 | 52 | 52 | 62 | 50 | 59 | 62 | 50 | 56 | 43 | 43 | 48 | 40 | 56 | 0 | 21 | 2 | 350,000$ | ||||
| 12 | Jonathan Davidsson (R) | X | 100.00 | 56 | 18 | 70 | 59 | 59 | 58 | 49 | 59 | 57 | 69 | 54 | 42 | 53 | 42 | 46 | 60 | 40 | 55 | 0 | 21 | 4 | 650,000$ | ||||
| 13 | Radovan Bondra (R) | X | 100.00 | 66 | 24 | 57 | 53 | 54 | 43 | 58 | 58 | 37 | 62 | 54 | 50 | 40 | 42 | 42 | 47 | 40 | 52 | 0 | 20 | 2 | 350,000$ | ||||
| 14 | Mike Hardman (R) | X | 100.00 | 61 | 31 | 50 | 59 | 67 | 50 | 62 | 55 | 47 | 48 | 48 | 48 | 49 | 40 | 40 | 59 | 40 | 51 | 0 | 19 | 2 | 500,000$ | ||||
| 15 | Marc McLaughlin (R) | X | 100.00 | 46 | 32 | 64 | 48 | 51 | 56 | 59 | 58 | 51 | 50 | 53 | 36 | 61 | 40 | 40 | 68 | 40 | 50 | 0 | 19 | 2 | 500,000$ | ||||
| 16 | Brett Pesce (R) | X | 100.00 | 66 | 30 | 79 | 83 | 72 | 72 | 77 | 77 | 45 | 82 | 65 | 73 | 55 | 61 | 49 | 43 | 40 | 72 | 0 | 23 | 1 | 950,000$ | ||||
| 17 | Jeff Corbett (R) | X | 100.00 | 67 | 35 | 84 | 63 | 54 | 75 | 68 | 64 | 46 | 72 | 74 | 69 | 55 | 51 | 49 | 42 | 40 | 67 | 0 | 23 | 2 | 700,000$ | ||||
| 18 | Pierre-Olivier Joseph (R) | X | 100.00 | 46 | 28 | 78 | 86 | 57 | 59 | 68 | 86 | 34 | 81 | 56 | 66 | 46 | 40 | 40 | 91 | 40 | 65 | 0 | 19 | 2 | 500,000$ | ||||
| 19 | Keaton Thompson (R) | X | 100.00 | 60 | 39 | 72 | 73 | 61 | 60 | 71 | 64 | 49 | 73 | 61 | 72 | 56 | 46 | 46 | 46 | 44 | 65 | 0 | 22 | 3 | 600,000$ | ||||
| 20 | Dennis Gilbert (R) | X | 100.00 | 69 | 36 | 72 | 65 | 56 | 64 | 63 | 50 | 41 | 66 | 51 | 72 | 37 | 43 | 45 | 45 | 40 | 62 | 0 | 21 | 2 | 500,000$ | ||||
| 21 | Dmitri Samorukov (R) | X | 100.00 | 60 | 23 | 77 | 64 | 56 | 57 | 63 | 42 | 29 | 63 | 45 | 69 | 40 | 40 | 40 | 73 | 40 | 59 | 0 | 19 | 2 | 500,000$ | ||||
| 22 | Brycen Martin (R) | X | 100.00 | 57 | 29 | 61 | 67 | 52 | 44 | 49 | 68 | 23 | 67 | 46 | 65 | 37 | 43 | 43 | 50 | 40 | 58 | 0 | 21 | 2 | 350,000$ | ||||
| 23 | Simon Bourque (R) | X | 100.00 | 39 | 31 | 54 | 56 | 45 | 46 | 58 | 54 | 25 | 61 | 39 | 58 | 44 | 42 | 42 | 51 | 40 | 50 | 0 | 20 | 1 | 250,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 64 | 34 | 71 | 68 | 64 | 60 | 65 | 65 | 53 | 67 | 64 | 60 | 56 | 45 | 44 | 59 | 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 | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rayé | |||||||||||||||||||||||
| 1 | Charlie Lindgren | 100.00 | 74 | 77 | 79 | 59 | 65 | 88 | 77 | 61 | 58 | 77 | 75 | 55 | 49 | 52 | 40 | 69 | 0 | 24 | 2 | 750,000$ | |
| 2 | Logan Thompson (R) | 100.00 | 79 | 53 | 70 | 79 | 78 | 63 | 55 | 70 | 67 | 51 | 86 | 44 | 44 | 72 | 40 | 66 | 0 | 21 | 2 | 500,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 77 | 65 | 75 | 69 | 72 | 76 | 66 | 66 | 63 | 64 | 81 | 50 | 47 | 62 | 40 | 68 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Peter DeBoer | 67 | 71 | 73 | 86 | 54 | 63 | 62 | Can | 56 | 3 | 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aleksi Saarela | Marlies (TOR) | C | 20 | 1997-01-01 | Yes | 200 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 800,000$ | 900,000$ | Lien | |||||||
| Alex Formenton | Marlies (TOR) | LW | 19 | 1998-01-01 | Yes | 195 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | Lien | ||||||||
| Brett Pesce | Marlies (TOR) | D | 23 | 1994-01-01 | Yes | 185 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | Lien | |||||||||
| Brycen Martin | Marlies (TOR) | D | 21 | 1996-01-01 | Yes | 198 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 350,000$ | 350,000$ | 0$ | 0$ | No | 350,000$ | Lien | ||||||||
| Charlie Lindgren | Marlies (TOR) | G | 24 | 1993-01-01 | No | 180 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
| Colton Sissons | Marlies (TOR) | C | 24 | 1993-01-01 | Yes | 187 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | Lien | |||||||||
| Dennis Gilbert | Marlies (TOR) | D | 21 | 1996-01-01 | Yes | 216 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | Lien | ||||||||
| Dmitri Samorukov | Marlies (TOR) | D | 19 | 1998-01-01 | Yes | 188 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | Lien | ||||||||
| Elias Pettersson | Marlies (TOR) | C | 20 | 1997-01-01 | Yes | 176 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | Lien | ||||||||
| Haydn Fleury | Marlies (TOR) | D | 21 | 1996-01-01 | Yes | 208 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,200,000$ | 1,200,000$ | 0$ | 0$ | No | Lien | |||||||||
| Henri Ikonen | Marlies (TOR) | LW | 22 | 1995-01-01 | Yes | 185 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 550,000$ | 550,000$ | 0$ | 0$ | No | 550,000$ | |||||||||
| Jaden Lindo | Marlies (TOR) | RW | 21 | 1996-01-01 | Yes | 215 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 350,000$ | 350,000$ | 0$ | 0$ | No | 350,000$ | Lien | ||||||||
| Jakob Forsbacka-Karlsson | Marlies (TOR) | C | 21 | 1996-01-01 | Yes | 184 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 450,000$ | 450,000$ | 0$ | 0$ | No | 500,000$ | 550,000$ | Lien | |||||||
| Jeff Corbett | Marlies (TOR) | D | 23 | 1994-01-01 | Yes | 185 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | |||||||||
| Jonathan Davidsson | Marlies (TOR) | RW | 21 | 1996-01-01 | Yes | 181 Lbs | 5 ft11 | No | No | No | 4 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | 650,000$ | 650,000$ | 650,000$ | Lien | ||||||
| Keaton Thompson | Marlies (TOR) | D | 22 | 1995-01-01 | Yes | 185 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | ||||||||
| Logan Brown | Marlies (TOR) | C | 19 | 1998-01-01 | Yes | 227 Lbs | 6 ft6 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | Lien | |||||||||
| Logan Thompson | Marlies (TOR) | G | 21 | 1996-01-01 | Yes | 201 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | Lien | ||||||||
| Lucas Carlsson | Marlies (TOR) | D | 20 | 1997-01-01 | Yes | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | Lien | |||||||||
| Marc McLaughlin | Marlies (TOR) | C | 19 | 1998-01-01 | Yes | 210 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | Lien | ||||||||
| Martin Necas | Marlies (TOR) | RW | 19 | 1998-01-01 | Yes | 189 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | Lien | ||||||||
| Mathieu Olivier | Marlies (TOR) | RW | 20 | 1997-01-01 | Yes | 209 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | Lien | |||||||||
| Mike Hardman | Marlies (TOR) | LW | 19 | 1998-01-01 | Yes | 205 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | Lien | ||||||||
| Nicholas Baptiste | Marlies (TOR) | RW | 22 | 1995-01-01 | Yes | 185 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 900,000$ | Lien | ||||||||
| Otto Koivula | Marlies (TOR) | LW | 19 | 1998-01-01 | Yes | 220 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | Lien | |||||||||
| Pavel Zacha | Marlies (TOR) | C | 20 | 1997-01-01 | Yes | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | Lien | |||||||||
| Pierre-Olivier Joseph | Marlies (TOR) | D | 19 | 1998-01-01 | Yes | 185 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | Lien | ||||||||
| Radovan Bondra | Marlies (TOR) | RW | 20 | 1997-01-01 | Yes | 217 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 350,000$ | 350,000$ | 0$ | 0$ | No | 350,000$ | Lien | ||||||||
| Simon Bourque | Marlies (TOR) | D | 20 | 1997-01-01 | Yes | 198 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 250,000$ | 250,000$ | 0$ | 0$ | No | Lien | |||||||||
| Tobias Lindberg | Marlies (TOR) | RW | 22 | 1995-01-01 | Yes | 185 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | Lien | ||||||||
| Tyler Benson | Marlies (TOR) | LW | 19 | 1998-01-01 | Yes | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | Lien | |||||||||
| Valentin Zykov | Marlies (TOR) | LW | 22 | 1995-01-01 | Yes | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 32 | 20.69 | 196 Lbs | 6 ft2 | 1.81 | 590,625$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Colton Sissons | 40 | 1 | 2 | 2 | ||
| 2 | Nicholas Baptiste | 30 | 1 | 2 | 2 | ||
| 3 | Logan Brown | Mathieu Olivier | 20 | 1 | 2 | 2 | |
| 4 | Tyler Benson | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Haydn Fleury | 40 | 1 | 2 | 2 | ||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Lucas Carlsson | 20 | 1 | 2 | 2 | ||
| 4 | Haydn Fleury | 10 | 1 | 2 | 2 | ||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Colton Sissons | 60 | 1 | 2 | 2 | ||
| 2 | Nicholas Baptiste | 40 | 1 | 2 | 2 | ||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Haydn Fleury | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Colton Sissons | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Haydn Fleury | 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 | Colton Sissons | 60 | 1 | 2 | 2 | Haydn Fleury | 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 | Colton Sissons | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Haydn Fleury | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Colton Sissons | Haydn Fleury | |||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Colton Sissons | Haydn Fleury | |||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , Logan Brown | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , Lucas Carlsson | , | |
| Tirs de pénalité |
|---|
| , , Colton Sissons, Nicholas Baptiste, |
| 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 |
| 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$ | 1,890,000$ | 1,790,000$ | 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$ | 0 | 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 |
|---|
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
