Toronto Marlies | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: DJ | Morale : 99 | Moyenne d’équipe : 67 |
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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 | T.J. Fox (A) | X | X | 100.00 | 32 | 2 | 98 | 86 | 76 | 81 | 78 | 82 | 87 | 79 | 73 | 52 | 71 | 80 | 82 | 28 | 99 | 69 | 0 | 39 | 1 | 1,499,999$ | |||
2 | Zach Hamill | X | X | 100.00 | 43 | 10 | 98 | 87 | 75 | 84 | 83 | 67 | 87 | 62 | 58 | 73 | 68 | 99 | 99 | 24 | 99 | 68 | 0 | 35 | 2 | 500,001$ | |||
3 | Matt Frattin | X | X | 100.00 | 70 | 36 | 79 | 87 | 77 | 79 | 83 | 63 | 55 | 52 | 67 | 67 | 68 | 99 | 99 | 22 | 99 | 67 | 0 | 35 | 1 | 500,001$ | |||
4 | Liam Ohgren (R) | X | 100.00 | 74 | 36 | 76 | 70 | 77 | 70 | 70 | 79 | 63 | 70 | 76 | 73 | 75 | 50 | 61 | 80 | 99 | 67 | 0 | 19 | 2 | 925,000$ | ||||
5 | Brad Lambert (R) | X | X | 100.00 | 71 | 31 | 77 | 72 | 75 | 68 | 68 | 81 | 79 | 76 | 74 | 72 | 74 | 62 | 41 | 81 | 99 | 67 | 0 | 19 | 3 | 925,000$ | |||
6 | Michael Spacek (R) | X | X | 100.00 | 63 | 30 | 80 | 78 | 76 | 75 | 77 | 70 | 87 | 68 | 65 | 62 | 65 | 80 | 63 | 56 | 99 | 66 | N | 0 | 26 | 2 | 500,001$ | ||
7 | Tomas Marcinko | X | X | 100.00 | 83 | 48 | 76 | 79 | 79 | 79 | 82 | 54 | 88 | 53 | 57 | 69 | 63 | 99 | 99 | 16 | 99 | 65 | 0 | 35 | 2 | 500,001$ | |||
8 | Rudolf Balcers (R) | X | 100.00 | 58 | 23 | 83 | 81 | 73 | 73 | 79 | 71 | 52 | 66 | 71 | 62 | 70 | 69 | 56 | 52 | 99 | 65 | N | 0 | 26 | 2 | 500,001$ | |||
9 | Charlie Stramel (R) | X | X | 100.00 | 78 | 43 | 73 | 76 | 81 | 66 | 66 | 65 | 79 | 66 | 70 | 77 | 70 | 44 | 39 | 84 | 99 | 65 | 0 | 18 | 3 | 925,000$ | |||
10 | Jim O'Brien | X | X | 100.00 | 66 | 31 | 90 | 87 | 78 | 82 | 82 | 47 | 86 | 42 | 49 | 76 | 65 | 99 | 99 | 20 | 99 | 64 | 0 | 35 | 2 | 500,001$ | |||
11 | David Pastrnak (R) | X | 100.00 | 62 | 29 | 79 | 83 | 75 | 77 | 80 | 57 | 48 | 49 | 57 | 66 | 65 | 70 | 55 | 65 | 99 | 62 | 0 | 27 | 1 | 510,000$ | ||||
12 | Carl Dahlstrom | X | 100.00 | 86 | 52 | 74 | 83 | 80 | 82 | 83 | 58 | 54 | 55 | 53 | 71 | 55 | 73 | 70 | 56 | 99 | 69 | 0 | 29 | 1 | 600,000$ | ||||
13 | Logan Mailloux (R) | X | 100.00 | 78 | 37 | 77 | 72 | 81 | 80 | 80 | 71 | 63 | 72 | 73 | 72 | 73 | 42 | 51 | 61 | 99 | 68 | 0 | 20 | 3 | 925,000$ | ||||
14 | Mark Mitera | X | 100.00 | 49 | 15 | 98 | 89 | 78 | 78 | 78 | 48 | 54 | 44 | 36 | 76 | 45 | 99 | 99 | 22 | 99 | 67 | 0 | 37 | 2 | 500,001$ | ||||
15 | Tom Willander (R) | X | 100.00 | 72 | 35 | 75 | 74 | 73 | 66 | 66 | 63 | 63 | 71 | 66 | 77 | 66 | 42 | 42 | 85 | 99 | 66 | 0 | 18 | 3 | 925,000$ | ||||
16 | Ludwig Byström | X | 100.00 | 72 | 40 | 82 | 84 | 77 | 80 | 81 | 45 | 51 | 40 | 45 | 69 | 60 | 74 | 71 | 51 | 99 | 65 | 0 | 29 | 2 | 600,000$ | ||||
17 | David Reinbacher (R) | X | 100.00 | 73 | 37 | 75 | 73 | 75 | 66 | 66 | 65 | 63 | 70 | 71 | 74 | 71 | 42 | 42 | 91 | 99 | 65 | 0 | 18 | 3 | 925,000$ | ||||
18 | Andrew Peeke (R) | X | 100.00 | 63 | 27 | 85 | 85 | 84 | 75 | 79 | 55 | 48 | 53 | 43 | 67 | 50 | 43 | 44 | 66 | 99 | 63 | 0 | 25 | 2 | 500,001$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Connor Bedard (R) (C) | X | 100.00 | 73 | 37 | 81 | 72 | 75 | 78 | 78 | 81 | 79 | 77 | 79 | 72 | 79 | 46 | 98 | 96 | 99 | 71 | 0 | 18 | 3 | 925,000$ | ||||
2 | Andreas Athanasiou | X | X | 100.00 | 84 | 50 | 70 | 80 | 79 | 79 | 81 | 74 | 87 | 67 | 74 | 68 | 68 | 82 | 78 | 49 | 99 | 69 | 0 | 29 | 2 | 1,100,000$ | |||
3 | Theodor Niederbach (R) | X | X | 100.00 | 70 | 29 | 77 | 85 | 71 | 73 | 72 | 85 | 77 | 79 | 75 | 72 | 71 | 46 | 43 | 72 | 99 | 69 | 0 | 21 | 1 | 925,000$ | |||
4 | Shane Wright (R) | X | 100.00 | 73 | 33 | 75 | 72 | 77 | 66 | 66 | 83 | 79 | 78 | 73 | 71 | 73 | 55 | 65 | 88 | 99 | 68 | 0 | 19 | 3 | 925,000$ | ||||
5 | Brayden McNabb | X | 100.00 | 71 | 40 | 83 | 87 | 85 | 85 | 83 | 68 | 57 | 68 | 72 | 68 | 67 | 88 | 92 | 27 | 99 | 71 | 0 | 32 | 2 | 2,000,000$ | ||||
6 | Andrej Sekera (A) | X | 100.00 | 30 | 20 | 98 | 88 | 74 | 61 | 59 | 55 | 65 | 46 | 53 | 87 | 59 | 99 | 99 | 33 | 99 | 67 | 0 | 37 | 1 | 950,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 66 | 32 | 82 | 80 | 77 | 75 | 76 | 66 | 69 | 63 | 64 | 71 | 66 | 70 | 70 | 55 | 99 | 67 |
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 | Yaniv Perets (R) | 100.00 | 80 | 80 | 77 | 74 | 83 | 83 | 83 | 83 | 83 | 80 | 83 | 53 | 87 | 59 | 99 | 66 | 0 | 23 | 3 | 650,000$ | |
2 | Jake Kielly (R) | 100.00 | 77 | 74 | 78 | 85 | 80 | 78 | 78 | 78 | 78 | 77 | 80 | 66 | 79 | 44 | 99 | 64 | 0 | 27 | 3 | 500,000$ | |
3 | Linus Soderstrom | 100.00 | 82 | 86 | 82 | 83 | 88 | 80 | 80 | 70 | 70 | 67 | 65 | 59 | 57 | 59 | 99 | 63 | 0 | 28 | 1 | 525,000$ | |
Rayé | |||||||||||||||||||||||
1 | Michael Wall | 100.00 | 77 | 80 | 83 | 88 | 86 | 91 | 86 | 95 | 91 | 84 | 77 | 89 | 99 | 29 | 99 | 73 | 0 | 38 | 2 | 550,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 79 | 80 | 80 | 83 | 84 | 83 | 82 | 82 | 81 | 77 | 76 | 67 | 81 | 48 | 99 | 67 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Martin St-Louis | 85 | 75 | 85 | 85 | 75 | 75 | 95 | CAN | 48 | 5 | 1,000,000$ |
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 |
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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 | 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 | Type | Salaire actuel | Salaire 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 |
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Andreas Athanasiou | Toronto Marlies (TOR) | C/LW | 29 | 1985-10-05 14:39:25 | No | 216 Lbs | 6 ft2 | No | No | Trade | 2024-03-01 | No | No | 2 | Farm Only | 1,100,000$ | 1,100,000$ | 0$ | 0$ | No | 1,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Andrej Sekera | Toronto Marlies (TOR) | D | 37 | 1977-08-06 20:38:02 | No | 200 Lbs | 6 ft0 | No | No | Trade | 2024-03-01 | No | No | 1 | Farm Only | 950,000$ | 950,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Andrew Peeke | Toronto Marlies (TOR) | D | 25 | 1989-10-11 15:38:11 | Yes | 225 Lbs | 6 ft9 | No | No | N/A | No | No | 2 | Pro & Farm | 500,001$ | 500,001$ | 0$ | 0$ | No | 500,001$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Brad Lambert | Toronto Marlies (TOR) | C/RW | 19 | 1995-08-19 12:10:22 | Yes | 183 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Brayden McNabb | Toronto Marlies (TOR) | D | 32 | 1982-08-07 02:38:02 | No | 238 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | Pro & Farm | 2,000,000$ | 2,000,000$ | 0$ | 0$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Carl Dahlstrom | Toronto Marlies (TOR) | D | 29 | 1985-10-20 08:40:03 | No | 224 Lbs | 6 ft4 | No | No | Trade | 2024-02-25 | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Charlie Stramel | Toronto Marlies (TOR) | C/RW | 18 | 1996-08-19 12:01:07 | Yes | 216 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Connor Bedard | Toronto Marlies (TOR) | C | 18 | 1996-08-19 11:57:31 | Yes | 185 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
David Pastrnak | Toronto Marlies (TOR) | RW | 27 | 1987-11-06 05:51:05 | Yes | 198 Lbs | 6 ft0 | No | No | Trade | 2024-03-01 | No | No | 1 | Pro & Farm | 510,000$ | 510,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
David Reinbacher | Toronto Marlies (TOR) | D | 18 | 1996-08-19 11:58:23 | Yes | 187 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Jake Kielly | Toronto Marlies (TOR) | G | 27 | 1987-08-17 05:13:30 | Yes | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Jim O'Brien | Toronto Marlies (TOR) | C/RW | 35 | 1979-08-06 08:38:02 | No | 212 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 500,001$ | 500,001$ | 0$ | 0$ | No | 500,001$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Liam Ohgren | Toronto Marlies (TOR) | LW | 19 | 1995-09-01 05:49:21 | Yes | 207 Lbs | 6 ft3 | No | No | Trade | 2024-01-07 | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Linus Soderstrom | Toronto Marlies (TOR) | G | 28 | 1986-10-20 09:01:32 | No | 210 Lbs | 6 ft5 | No | No | Trade | 2024-03-01 | No | No | 1 | Pro & Farm | 525,000$ | 525,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Logan Mailloux | Toronto Marlies (TOR) | D | 20 | 1994-09-09 05:45:33 | Yes | 212 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Ludwig Byström | Toronto Marlies (TOR) | D | 29 | 1985-10-05 14:45:48 | No | 210 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Mark Mitera | Toronto Marlies (TOR) | D | 37 | 1977-08-06 20:38:02 | No | 209 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 500,001$ | 500,001$ | 0$ | 0$ | No | 500,001$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Matt Frattin | Toronto Marlies (TOR) | LW/RW | 35 | 1979-10-14 13:10:32 | No | 213 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 500,001$ | 500,001$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Michael Spacek | Toronto Marlies (TOR) | C/RW | 26 | 1988-09-19 14:35:15 | Yes | 203 Lbs | 6 ft0 | Yes | No | Free Agent | No | No | 2 | 2024-03-17 | Pro & Farm | 500,001$ | 500,001$ | 0$ | 0$ | No | 500,001$ | - | - | - | - | - | - | - | - | Yes | - | - | - | - | - | - | - | - | ||
Michael Wall | Toronto Marlies (TOR) | G | 38 | 1976-08-06 14:38:02 | No | 214 Lbs | 6 ft2 | No | No | Trade | 2024-02-17 | No | No | 2 | Pro & Farm | 550,000$ | 550,000$ | 0$ | 0$ | No | 550,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Rudolf Balcers | Toronto Marlies (TOR) | LW | 26 | 1988-09-19 10:55:34 | Yes | 191 Lbs | 6 ft0 | Yes | No | Free Agent | No | No | 2 | 2024-03-17 | Pro & Farm | 500,001$ | 500,001$ | 0$ | 0$ | No | 500,001$ | - | - | - | - | - | - | - | - | Yes | - | - | - | - | - | - | - | - | ||
Shane Wright | Toronto Marlies (TOR) | C | 19 | 1995-10-01 08:10:40 | Yes | 198 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
T.J. Fox | Toronto Marlies (TOR) | C/RW | 39 | 1975-08-06 08:38:02 | No | 204 Lbs | 6 ft1 | No | No | Trade | 2024-01-31 | No | No | 1 | Pro & Farm | 1,499,999$ | 1,499,999$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Theodor Niederbach | Toronto Marlies (TOR) | C/RW | 21 | 1993-08-29 14:14:37 | Yes | 178 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Tom Willander | Toronto Marlies (TOR) | D | 18 | 1996-08-19 11:59:59 | Yes | 179 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Tomas Marcinko | Toronto Marlies (TOR) | C/RW | 35 | 1979-10-14 10:08:44 | No | 218 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | Pro & Farm | 500,001$ | 500,001$ | 0$ | 0$ | No | 500,001$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Yaniv Perets | Toronto Marlies (TOR) | G | 23 | 1991-08-19 12:06:44 | Yes | 181 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | 650,000$ | 650,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Zach Hamill | Toronto Marlies (TOR) | C/RW | 35 | 1979-08-06 08:38:02 | No | 200 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | Pro & Farm | 500,001$ | 500,001$ | 0$ | 0$ | No | 500,001$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
28 | 27.21 | 204 Lbs | 6 ft2 | 2.07 | 778,929$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Matt Frattin | T.J. Fox | Zach Hamill | 40 | 1 | 2 | 2 |
2 | Liam Ohgren | Brad Lambert | Michael Spacek | 30 | 1 | 2 | 2 |
3 | Rudolf Balcers | Charlie Stramel | Tomas Marcinko | 20 | 1 | 2 | 2 |
4 | T.J. Fox | Jim O'Brien | David Pastrnak | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Carl Dahlstrom | Logan Mailloux | 40 | 1 | 2 | 2 | |
2 | Mark Mitera | Tom Willander | 30 | 1 | 2 | 2 | |
3 | David Reinbacher | Ludwig Byström | 20 | 1 | 2 | 2 | |
4 | Andrew Peeke | Carl Dahlstrom | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Matt Frattin | T.J. Fox | Zach Hamill | 60 | 1 | 2 | 2 |
2 | Liam Ohgren | Brad Lambert | Michael Spacek | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Carl Dahlstrom | Logan Mailloux | 60 | 1 | 2 | 2 | |
2 | Mark Mitera | Tom Willander | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | T.J. Fox | Zach Hamill | 60 | 1 | 2 | 2 |
2 | Brad Lambert | Matt Frattin | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Carl Dahlstrom | Logan Mailloux | 60 | 1 | 2 | 2 |
2 | Mark Mitera | Tom Willander | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | T.J. Fox | 60 | 1 | 2 | 2 | Carl Dahlstrom | Logan Mailloux | 60 | 1 | 2 | 2 |
2 | Zach Hamill | 40 | 1 | 2 | 2 | Mark Mitera | Tom Willander | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | T.J. Fox | Zach Hamill | 60 | 1 | 2 | 2 |
2 | Brad Lambert | Matt Frattin | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Carl Dahlstrom | Logan Mailloux | 60 | 1 | 2 | 2 |
2 | Mark Mitera | Tom Willander | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Matt Frattin | T.J. Fox | Zach Hamill | Carl Dahlstrom | Logan Mailloux |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Matt Frattin | T.J. Fox | Zach Hamill | Carl Dahlstrom | Logan Mailloux |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Rudolf Balcers, Charlie Stramel, Tomas Marcinko | Rudolf Balcers, Charlie Stramel | Tomas Marcinko |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
David Reinbacher, Ludwig Byström, Andrew Peeke | David Reinbacher | Ludwig Byström, Andrew Peeke |
Tirs de pénalité |
---|
T.J. Fox, Zach Hamill, Brad Lambert, Matt Frattin, Liam Ohgren |
Gardien |
---|
#1 : Yaniv Perets, #2 : Jake Kielly, #3 : Linus Soderstrom |
Lignes d’attaque personnalisées en prolongation |
---|
T.J. Fox, Zach Hamill, Brad Lambert, Matt Frattin, Liam Ohgren, Michael Spacek, Michael Spacek, Rudolf Balcers, Charlie Stramel, Tomas Marcinko, Jim O'Brien |
Lignes de défense personnalisées en prolongation |
---|
Carl Dahlstrom, Logan Mailloux, Mark Mitera, Tom Willander, David Reinbacher |
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 | 5000 | 5000 |
Prix des billets | 80 | 45 |
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 |
41 | 0 - 0% | 0$ | 0$ | 10000 | 110 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 4,362,000$ | 4,362,000$ | 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$ | 14 | 0$ | 0$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|