| Condors | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Yan Dumais | 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 | Benoit-Olivier Groulx | X | 100.00 | 85 | 52 | 85 | 68 | 73 | 77 | 56 | 60 | 61 | 52 | 50 | 75 | 50 | 62 | 59 | 0 | 40 | 69 | 0 | 24 | 3 | 775,000$ | ||||
| 2 | Josh Leivo | X | 100.00 | 65 | 58 | 85 | 73 | 71 | 60 | 55 | 65 | 48 | 62 | 53 | 54 | 48 | 84 | 67 | 0 | 40 | 66 | 0 | 31 | 1 | 1,500,000$ | ||||
| 3 | Cody Eakin | X | 100.00 | 57 | 52 | 88 | 73 | 66 | 60 | 55 | 55 | 76 | 50 | 50 | 65 | 42 | 87 | 61 | 0 | 40 | 64 | 0 | 33 | 2 | 2,000,000$ | ||||
| 4 | Marat Khusnutdinov (R) | X | 100.00 | 60 | 51 | 85 | 63 | 60 | 73 | 32 | 55 | 73 | 62 | 55 | 63 | 44 | 56 | 60 | 0 | 40 | 63 | 0 | 22 | 2 | 925,000$ | ||||
| 5 | Justin Dowling | X | 100.00 | 51 | 50 | 90 | 61 | 57 | 76 | 30 | 55 | 52 | 50 | 70 | 56 | 41 | 82 | 70 | 0 | 40 | 63 | 0 | 34 | 1 | 650,000$ | ||||
| 6 | Jakob Pelletier | X | 100.00 | 54 | 50 | 86 | 72 | 52 | 74 | 30 | 55 | 37 | 53 | 55 | 53 | 34 | 59 | 59 | 0 | 40 | 61 | 0 | 23 | 1 | 832,500$ | ||||
| 7 | James Hamblin | X | 100.00 | 52 | 50 | 90 | 63 | 59 | 68 | 47 | 55 | 69 | 54 | 57 | 59 | 47 | 61 | 57 | 0 | 40 | 61 | 0 | 25 | 4 | 795,000$ | ||||
| 8 | Joona Luoto | X | 100.00 | 61 | 50 | 90 | 73 | 78 | 60 | 55 | 55 | 31 | 50 | 54 | 50 | 30 | 68 | 56 | 0 | 40 | 61 | 0 | 27 | 1 | 775,000$ | ||||
| 9 | Nick Swaney | X | 100.00 | 77 | 50 | 90 | 73 | 57 | 60 | 55 | 55 | 32 | 50 | 50 | 50 | 30 | 62 | 52 | 0 | 40 | 60 | 0 | 27 | 4 | 750,000$ | ||||
| 10 | Gage Quinney | X | 100.00 | 44 | 45 | 55 | 73 | 64 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 61 | 0 | 40 | 58 | 0 | 29 | 1 | 740,000$ | ||||
| 11 | Brendan Leipsic | X | 100.00 | 44 | 45 | 55 | 73 | 60 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 62 | 0 | 40 | 58 | 0 | 30 | 1 | 700,000$ | ||||
| 12 | Jake Leschyshyn | X | 100.00 | 45 | 50 | 90 | 63 | 64 | 71 | 30 | 55 | 37 | 50 | 50 | 55 | 30 | 63 | 54 | 0 | 40 | 58 | 0 | 25 | 4 | 750,000$ | ||||
| 13 | Matt Irwin | X | 100.00 | 75 | 76 | 83 | 71 | 73 | 60 | 55 | 59 | 35 | 51 | 52 | 67 | 48 | 92 | 64 | 0 | 40 | 69 | 0 | 37 | 3 | 750,000$ | ||||
| 14 | Billy Sweezey | X | 100.00 | 86 | 58 | 63 | 73 | 71 | 60 | 55 | 55 | 30 | 50 | 50 | 69 | 30 | 63 | 57 | 0 | 40 | 68 | 0 | 28 | 4 | 750,000$ | ||||
| 15 | Robert Bortuzzo | X | 100.00 | 66 | 60 | 68 | 61 | 82 | 74 | 40 | 55 | 40 | 52 | 52 | 72 | 34 | 93 | 62 | 0 | 40 | 68 | 0 | 35 | 1 | 1,375,000$ | ||||
| 16 | Logan Stanley | X | 100.00 | 72 | 84 | 56 | 63 | 94 | 74 | 38 | 55 | 40 | 54 | 56 | 69 | 35 | 66 | 59 | 0 | 40 | 68 | 0 | 26 | 1 | 800,000$ | ||||
| 17 | Dennis Gilbert | X | 100.00 | 71 | 67 | 82 | 63 | 76 | 72 | 46 | 55 | 40 | 64 | 55 | 66 | 36 | 72 | 62 | 0 | 40 | 68 | 0 | 28 | 4 | 750,000$ | ||||
| 18 | Chris Wideman | X | 100.00 | 58 | 62 | 59 | 71 | 57 | 60 | 55 | 66 | 35 | 60 | 50 | 62 | 45 | 83 | 65 | 0 | 40 | 66 | 0 | 34 | 3 | 750,000$ | ||||
| 19 | Kurtis MacDermid | X | 100.00 | 73 | 90 | 55 | 63 | 88 | 60 | 52 | 55 | 50 | 55 | 56 | 56 | 49 | 76 | 58 | 0 | 40 | 65 | 0 | 30 | 4 | 975,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 63 | 58 | 77 | 68 | 69 | 66 | 47 | 57 | 45 | 54 | 53 | 60 | 39 | 70 | 60 | 0 | 40 | 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 gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Eetu Makiniemi | 100.00 | 68 | 30 | 65 | 76 | 63 | 65 | 56 | 66 | 50 | 73 | 50 | 57 | 54 | 0 | 40 | 62 | 0 | 25 | 1 | 892,500$ | |
| 2 | Adam Huska | 100.00 | 66 | 30 | 65 | 88 | 55 | 62 | 50 | 55 | 50 | 52 | 50 | 56 | 53 | 0 | 40 | 58 | 0 | 27 | 3 | 750,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 67 | 30 | 65 | 82 | 59 | 64 | 53 | 61 | 50 | 63 | 50 | 57 | 54 | 0 | 40 | 60 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Huska | Condors (NJ ) | G | 27 | 1997-05-12 | No | 214 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Benoit-Olivier Groulx | Condors (NJ ) | C | 24 | 2000-02-06 | No | 198 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2024-09-02 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Billy Sweezey | Condors (NJ ) | D | 28 | 1996-02-06 | No | 206 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Brendan Leipsic | Condors (NJ ) | C | 30 | 1994-05-19 | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Chris Wideman | Condors (NJ ) | D | 34 | 1990-01-07 | No | 181 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Cody Eakin | Condors (NJ ) | C | 33 | 1991-05-24 | No | 196 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 2,000,000$ | 2,000,000$ | 0$ | 0$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Dennis Gilbert | Condors (NJ ) | D | 28 | 1996-10-30 | No | 216 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Eetu Makiniemi | Condors (NJ ) | G | 25 | 1999-04-19 | No | 184 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 892,500$ | 892,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Gage Quinney | Condors (NJ ) | LW | 29 | 1995-07-29 | No | 200 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 740,000$ | 740,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Jake Leschyshyn | Condors (NJ ) | C | 25 | 1999-03-10 | No | 198 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Jakob Pelletier | Condors (NJ ) | LW | 23 | 2001-03-07 | No | 170 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | Pro & Farm | 832,500$ | 832,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| James Hamblin | Condors (NJ ) | C | 25 | 1999-04-27 | No | 185 Lbs | 5 ft10 | No | No | N/A | No | No | 4 | Pro & Farm | 795,000$ | 795,000$ | 0$ | 0$ | No | 795,000$ | 795,000$ | 795,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Joona Luoto | Condors (NJ ) | RW | 27 | 1997-09-26 | No | 210 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Josh Leivo | Condors (NJ ) | RW | 31 | 1993-05-26 | No | 192 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 1,500,000$ | 1,500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Justin Dowling | Condors (NJ ) | C | 34 | 1990-10-01 | No | 180 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Kurtis MacDermid | Condors (NJ ) | D | 30 | 1994-03-25 | No | 233 Lbs | 6 ft5 | No | No | N/A | No | No | 4 | Pro & Farm | 975,000$ | 975,000$ | 0$ | 0$ | No | 975,000$ | 975,000$ | 975,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Logan Stanley | Condors (NJ ) | D | 26 | 1998-05-26 | No | 231 Lbs | 6 ft7 | No | No | N/A | No | No | 1 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Marat Khusnutdinov | Condors (NJ ) | C | 22 | 2002-07-17 | Yes | 176 Lbs | 5 ft11 | No | No | Trade (Prospect) | No | No | 2 | 2024-08-08 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Matt Irwin | Condors (NJ ) | D | 37 | 1987-11-29 | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Nick Swaney | Condors (NJ ) | RW | 27 | 1997-09-09 | No | 178 Lbs | 5 ft10 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Robert Bortuzzo | Condors (NJ ) | D | 35 | 1989-03-18 | No | 216 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro & Farm | 1,375,000$ | 1,375,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 21 | 28.57 | 197 Lbs | 6 ft1 | 2.33 | 904,048$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Cody Eakin | 34 | 1 | 2 | 2 | ||
| 2 | Joona Luoto | 30 | 1 | 2 | 2 | ||
| 3 | Gage Quinney | Jake Leschyshyn | Nick Swaney | 26 | 1 | 2 | 2 |
| 4 | Brendan Leipsic | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Kurtis MacDermid | 34 | 1 | 2 | 2 | ||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Brendan Leipsic | 26 | 1 | 2 | 2 | ||
| 4 | Kurtis MacDermid | 10 | 1 | 2 | 2 | ||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Cody Eakin | 51 | 1 | 2 | 2 | ||
| 2 | Joona Luoto | 49 | 1 | 2 | 2 | ||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Kurtis MacDermid | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | Cody Eakin | 49 | 1 | 2 | 2 | |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Kurtis MacDermid | 51 | 1 | 2 | 2 | |
| 2 | 49 | 1 | 2 | 2 | ||
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | Kurtis MacDermid | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | 49 | 1 | 2 | 2 | |||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | Cody Eakin | 49 | 1 | 2 | 2 | |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Kurtis MacDermid | 51 | 1 | 2 | 2 | |
| 2 | 49 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Cody Eakin | Kurtis MacDermid | |||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Cody Eakin | Kurtis MacDermid | |||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Justin Dowling, James Hamblin, | Justin Dowling, James Hamblin | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Tirs de pénalité |
|---|
| , , Cody Eakin, , Joona Luoto |
| Gardien |
|---|
| #1 : Eetu Makiniemi, #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% | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 0 |
| Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mises en jeu | ||||||||
|---|---|---|---|---|---|---|---|---|
| Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| Temps avec la rondelle | |||||
|---|---|---|---|---|---|
| En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
|---|
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 0 |
| 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 | 0 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 0$ | 0$ | 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 |
|---|
