 | Monsters |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Yann Laforest | 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 | Zac Dalpe | X | 100.00 | 74 | 35 | 77 | 75 | 68 | 77 | 77 | 76 | 75 | 77 | 66 | 68 | 78 | 67 | 61 | 33 | 33 | 71 | 0 | 27 | 2 | 950,000$ | ||||
| 2 | Matt Calvert | X | 100.00 | 68 | 25 | 76 | 74 | 73 | 81 | 73 | 71 | 65 | 65 | 79 | 62 | 73 | 66 | 59 | 30 | 40 | 70 | 0 | 27 | 1 | 950,000$ | ||||
| 3 | Christian Hanson | X | 100.00 | 67 | 33 | 79 | 67 | 79 | 69 | 68 | 63 | 75 | 77 | 71 | 60 | 69 | 75 | 62 | 19 | 40 | 69 | 0 | 30 | 1 | 900,000$ | ||||
| 4 | Dominik Simon (R) | X | 100.00 | 62 | 40 | 84 | 68 | 64 | 79 | 64 | 80 | 76 | 73 | 75 | 60 | 55 | 54 | 50 | 60 | 40 | 69 | 0 | 22 | 1 | 500,000$ | ||||
| 5 | Ondrej Kase (R) | X | 100.00 | 73 | 48 | 83 | 71 | 69 | 68 | 73 | 68 | 69 | 76 | 70 | 66 | 73 | 47 | 43 | 60 | 40 | 69 | 0 | 20 | 3 | 800,000$ | ||||
| 6 | Mitch Marner (R) | X | 100.00 | 65 | 36 | 82 | 68 | 58 | 77 | 74 | 72 | 88 | 88 | 71 | 49 | 64 | 42 | 42 | 84 | 40 | 68 | 0 | 19 | 1 | 500,000$ | ||||
| 7 | Bobby Farnham | X | 100.00 | 76 | 69 | 67 | 66 | 78 | 63 | 80 | 65 | 65 | 67 | 65 | 63 | 68 | 69 | 68 | 30 | 40 | 67 | 0 | 27 | 1 | 600,000$ | ||||
| 8 | Jared Knight (R) | X | 100.00 | 66 | 21 | 72 | 63 | 71 | 72 | 74 | 67 | 70 | 72 | 71 | 63 | 66 | 49 | 47 | 37 | 40 | 66 | 0 | 24 | 2 | 700,000$ | ||||
| 9 | Austin Watson (R) | X | 100.00 | 72 | 28 | 78 | 65 | 69 | 69 | 71 | 67 | 68 | 63 | 68 | 60 | 65 | 48 | 48 | 37 | 40 | 65 | 0 | 24 | 1 | 600,000$ | ||||
| 10 | Joakim Nordstrom (R) | X | 100.00 | 81 | 45 | 63 | 65 | 70 | 64 | 75 | 68 | 59 | 67 | 67 | 58 | 56 | 47 | 48 | 40 | 40 | 64 | 0 | 24 | 2 | 500,000$ | ||||
| 11 | Ryan Fitzgerald (R) | X | 100.00 | 65 | 43 | 77 | 63 | 68 | 67 | 66 | 72 | 72 | 60 | 67 | 60 | 65 | 45 | 47 | 49 | 40 | 64 | 0 | 22 | 1 | 550,000$ | ||||
| 12 | Richard Nejezchleb (R) | X | 100.00 | 54 | 46 | 70 | 62 | 65 | 67 | 62 | 61 | 65 | 63 | 72 | 54 | 57 | 46 | 45 | 40 | 40 | 62 | 0 | 22 | 1 | 500,000$ | ||||
| 13 | Marc Michaelis (R) | X | 100.00 | 69 | 39 | 69 | 65 | 59 | 69 | 58 | 63 | 63 | 66 | 63 | 64 | 57 | 46 | 46 | 62 | 40 | 62 | 0 | 21 | 2 | 500,000$ | ||||
| 14 | Maxim Mamin (R) | X | 100.00 | 58 | 34 | 74 | 69 | 56 | 65 | 68 | 65 | 66 | 61 | 64 | 56 | 61 | 44 | 44 | 54 | 40 | 61 | 0 | 21 | 1 | 500,000$ | ||||
| 15 | Patrik Laine (R) | X | 100.00 | 59 | 28 | 73 | 71 | 70 | 71 | 66 | 68 | 54 | 54 | 76 | 38 | 70 | 40 | 40 | 93 | 40 | 61 | 0 | 18 | 2 | 500,000$ | ||||
| 16 | Morgan Rielly (R) | X | 100.00 | 72 | 32 | 89 | 68 | 68 | 76 | 77 | 70 | 54 | 78 | 71 | 67 | 64 | 55 | 46 | 57 | 40 | 70 | 0 | 22 | 3 | 995,000$ | ||||
| 17 | Aaron Ness (R) | X | 100.00 | 69 | 38 | 73 | 72 | 69 | 75 | 73 | 71 | 49 | 74 | 71 | 69 | 61 | 57 | 51 | 32 | 40 | 69 | 0 | 26 | 1 | 600,000$ | ||||
| 18 | Dillon Heatherington (R) | X | 100.00 | 67 | 24 | 84 | 64 | 66 | 69 | 73 | 59 | 45 | 63 | 51 | 80 | 53 | 45 | 44 | 50 | 40 | 66 | 0 | 21 | 1 | 500,000$ | ||||
| 19 | Matt Grzelcyk (R) | X | 100.00 | 64 | 26 | 69 | 78 | 58 | 63 | 68 | 71 | 43 | 72 | 49 | 67 | 54 | 46 | 46 | 48 | 40 | 64 | 0 | 22 | 2 | 700,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Nathan Noel (R) | X | 100.00 | 62 | 37 | 71 | 48 | 76 | 72 | 64 | 53 | 64 | 73 | 68 | 48 | 61 | 45 | 47 | 50 | 40 | 60 | 0 | 21 | 2 | 500,000$ | ||||
| 2 | Francis Perron (R) | X | 100.00 | 56 | 35 | 67 | 57 | 42 | 54 | 67 | 66 | 69 | 74 | 65 | 36 | 58 | 42 | 42 | 56 | 40 | 58 | 0 | 20 | 1 | 525,000$ | ||||
| 3 | Cameron Hughes (R) | X | 100.00 | 51 | 27 | 64 | 50 | 63 | 58 | 57 | 55 | 56 | 51 | 48 | 42 | 48 | 43 | 43 | 59 | 40 | 51 | 0 | 20 | 1 | 500,000$ | ||||
| 4 | Victor Mete (R) | X | 100.00 | 45 | 36 | 70 | 74 | 55 | 56 | 68 | 72 | 35 | 71 | 57 | 59 | 44 | 40 | 40 | 80 | 40 | 59 | 0 | 18 | 2 | 500,000$ | ||||
| 5 | Tarmo Reunanen (R) | X | 100.00 | 53 | 41 | 67 | 58 | 60 | 46 | 56 | 53 | 27 | 60 | 47 | 60 | 49 | 40 | 40 | 64 | 40 | 56 | 0 | 18 | 2 | 500,000$ | ||||
| MOYENNE D'ÉQUIPE | 100.00 | 65 | 36 | 74 | 66 | 66 | 68 | 69 | 67 | 61 | 69 | 66 | 59 | 61 | 50 | 48 | 51 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Eric Comrie | 100.00 | 69 | 81 | 69 | 73 | 73 | 73 | 70 | 74 | 77 | 73 | 57 | 48 | 44 | 55 | 40 | 71 | 0 | |
| Rayé | ||||||||||||||||||||
| 1 | Phoenix Copley | 100.00 | 70 | 60 | 65 | 73 | 72 | 62 | 52 | 67 | 73 | 62 | 68 | 54 | 53 | 32 | 40 | 65 | 0 | |
| 2 | Peyton Jones (R) | 100.00 | 54 | 63 | 59 | 52 | 58 | 56 | 62 | 50 | 55 | 60 | 54 | 40 | 40 | 68 | 40 | 56 | 0 | |
| MOYENNE D'ÉQUIPE | 100.00 | 64 | 68 | 64 | 66 | 68 | 64 | 61 | 64 | 68 | 65 | 60 | 47 | 46 | 52 | 40 | 64 | |||
| Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Tony Twist | 76 | 56 | 69 | 70 | 33 | 56 | 63 | USA | 52 | 4 | 550,000$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du Joueur | Nom de l'Équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du Gardien | Nom de l'Équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Nom du Joueur | Nom de l'Équipe | POS | Âge | Date de Naissance | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Type | Salaire Actuel | Salaire Restant | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aaron Ness | Monsters (Clb) | D | 26 | 1990-01-01 | Yes | 182 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
| Austin Watson | Monsters (Clb) | LW | 24 | 1992-01-01 | Yes | 193 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
| Bobby Farnham | Monsters (Clb) | RW | 27 | 1989-01-01 | No | 188 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
| Cameron Hughes | Monsters (Clb) | C | 20 | 1996-01-01 | Yes | 195 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Christian Hanson | Monsters (Clb) | C | 30 | 1986-01-01 | No | 202 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | ||||||||||
| Dillon Heatherington | Monsters (Clb) | D | 21 | 1995-01-01 | Yes | 185 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Dominik Simon | Monsters (Clb) | C | 22 | 1994-01-01 | Yes | 190 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Eric Comrie | Monsters (Clb) | G | 21 | 1995-01-01 | No | 185 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 800,000$ | |||||||||
| Francis Perron | Monsters (Clb) | LW | 20 | 1996-01-01 | Yes | 178 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 525,000$ | 525,000$ | 0$ | 0$ | No | ||||||||||
| Jared Knight | Monsters (Clb) | C | 24 | 1992-01-01 | Yes | 203 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | |||||||||
| Joakim Nordstrom | Monsters (Clb) | LW | 24 | 1992-01-01 | Yes | 189 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 600,000$ | |||||||||
| Marc Michaelis | Monsters (Clb) | LW | 21 | 1995-01-01 | Yes | 187 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Matt Calvert | Monsters (Clb) | LW | 27 | 1989-01-01 | No | 187 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | ||||||||||
| Matt Grzelcyk | Monsters (Clb) | D | 22 | 1994-01-01 | Yes | 171 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 800,000$ | |||||||||
| Maxim Mamin | Monsters (Clb) | C | 21 | 1995-01-01 | Yes | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Mitch Marner | Monsters (Clb) | RW | 19 | 1997-01-01 | Yes | 175 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Morgan Rielly | Monsters (Clb) | D | 22 | 1994-01-01 | Yes | 200 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 995,000$ | 995,000$ | 0$ | 0$ | No | 1,300,000$ | 1,800,000$ | ||||||||
| Nathan Noel | Monsters (Clb) | C | 21 | 1995-01-01 | Yes | 209 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Ondrej Kase | Monsters (Clb) | RW | 20 | 1996-01-01 | Yes | 186 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 995,000$ | 1,300,000$ | ||||||||
| Patrik Laine | Monsters (Clb) | LW | 18 | 1998-01-01 | Yes | 205 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Peyton Jones | Monsters (Clb) | G | 20 | 1996-01-01 | Yes | 209 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Phoenix Copley | Monsters (Clb) | G | 24 | 1992-01-01 | No | 196 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Richard Nejezchleb | Monsters (Clb) | RW | 22 | 1994-01-01 | Yes | 187 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
| Ryan Fitzgerald | Monsters (Clb) | C | 22 | 1994-01-01 | Yes | 185 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 550,000$ | 550,000$ | 0$ | 0$ | No | ||||||||||
| Tarmo Reunanen | Monsters (Clb) | D | 18 | 1998-01-01 | Yes | 179 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Victor Mete | Monsters (Clb) | D | 18 | 1998-01-01 | Yes | 183 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
| Zac Dalpe | Monsters (Clb) | C | 27 | 1989-01-01 | No | 195 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ |
| Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
|---|---|---|---|---|---|
| 27 | 22.26 | 190 Lbs | 6 ft0 | 1.56 | 613,704$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Attaque en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Défense en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| 3 joueurs en Désavantage Numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Défense Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Attaquants Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| , , | , | |
| Défenseurs Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| , , | , | |
| Tirs de Pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #2 : |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total Pour les Joueurs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Matchs Joués | Points | Séquence | Buts | Passes | Points | Tirs Pour | Tirs Contre | Tirs Bloqués | Minutes de Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tous les Matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs Éxtérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Derniers 10 Matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Tentatives en Avantage Numérique | Buts en Avantage Numérique | % en Avantage Numérique | Tentatives en Désavantage Numérique | Buts Contre en Désavantage Numérique | % en Désavantage Numérique | Buts Pour en Désavantage Numérique |
|---|---|---|---|---|---|---|
| 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
| Tirs en 1e Période | Tirs en 2e Période | Tirs en 3e Période | Tirs en 4e Période | Buts en 1e Période | Buts en 2e Période | Buts en 3e Période | Buts en 4e Période |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mises en Jeu | ||||||||
|---|---|---|---|---|---|---|---|---|
| Gagnées en Zone Offensive | Total en Zone Offensive | % Gagnées en Zone Offensive | Gagnées en Zone Défensive | Total en Zone Défensive | % Gagnées en Zone Défensive | Gagnées en Zone Neutre | Total en Zone Neutre | % Gagnées en Zone Neutre |
| 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
| Temps Avec la Rondelle | |||||
|---|---|---|---|---|---|
| En Zone Offensive | Contrôle en Zone Offensive | En Zone Défensive | Contrôle en Zone Défensive | En Zone Neutre | Contrôle en Zone Neutre |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Jour | Match | Équipe Visiteuse | Score | Équipe Locale | Score | ST | OT | SO | RI | Lien |
|---|
| Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des Billets | 35 | 15 |
| Assistance | 0.00% | 0.00% |
| Assistance PCT | 0.00% | 0.00% |
| Revenus | |||||
|---|---|---|---|---|---|
| Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité | Popularité de l'Équipe | 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
| 0$ | 1,657,000$ | 1,175,000$ | 0$ |
| Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Éstimation | |||
|---|---|---|---|
| Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
| 0$ | 0 | 0$ | 0$ |
| Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Admirals
Barracuda
Condors
Griffins
Heat
Icehogs
Marlies
Moose
Phantoms
Reign
Rocket
Senators
Bears
Comets
Crunch
Devils
Eagles
Little Stars
Penguins
Punishers
Rampage
Sound Tigers
Thunderbirds
Wolfpack
Wolves