| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jesper Bratt | 0 | X | 100.00 | 49 | 18 | 73 | 32 | 37 | 70 | 65 | 76 | 61 | 84 | 84 | 70 | 76 | 41 | 36 | 0 | 50 | 71 | 0 | ||||
| 2 | Nikolay Goldobin | 0 | X | 100.00 | 38 | 17 | 67 | 32 | 56 | 67 | 80 | 73 | 49 | 81 | 82 | 55 | 74 | 47 | 37 | 0 | 47 | 71 | 0 | ||||
| 3 | Barclay Goodrow | 0 | X | 100.00 | 80 | 32 | 44 | 47 | 80 | 51 | 72 | 64 | 79 | 76 | 80 | 67 | 72 | 58 | 70 | 0 | 50 | 68 | 0 | ||||
| 4 | Devante Smith-Pelly | 0 | X | X | 100.00 | 82 | 30 | 63 | 47 | 81 | 52 | 74 | 64 | 46 | 75 | 79 | 65 | 75 | 63 | 51 | 0 | 47 | 67 | 0 | |||
| 5 | Sam Steel (R) | 0 | X | 100.00 | 38 | 17 | 69 | 41 | 47 | 70 | 81 | 62 | 56 | 72 | 80 | 67 | 71 | 40 | 51 | 0 | 50 | 67 | 0 | ||||
| 6 | Tyler Ennis | 0 | X | X | 100.00 | 69 | 24 | 73 | 35 | 34 | 49 | 59 | 74 | 38 | 78 | 82 | 51 | 87 | 69 | 56 | 0 | 50 | 67 | 0 | |||
| 7 | Max Comtois (R) | 0 | X | 100.00 | 52 | 33 | 76 | 57 | 69 | 68 | 82 | 59 | 31 | 68 | 77 | 69 | 68 | 34 | 46 | 0 | 50 | 65 | 0 | ||||
| 8 | Curtis Lazar | 0 | X | X | 100.00 | 82 | 31 | 61 | 50 | 67 | 44 | 76 | 61 | 48 | 76 | 78 | 50 | 62 | 53 | 63 | 0 | 47 | 65 | 0 | |||
| 9 | Teddy Blueger (R) | 0 | X | 100.00 | 79 | 24 | 60 | 46 | 52 | 50 | 81 | 66 | 48 | 73 | 80 | 71 | 67 | 45 | 46 | 0 | 50 | 65 | 0 | ||||
| 10 | Joey Anderson (R) | 0 | X | 100.00 | 69 | 24 | 71 | 49 | 50 | 59 | 65 | 63 | 50 | 74 | 79 | 69 | 67 | 33 | 39 | 0 | 50 | 65 | 0 | ||||
| 11 | Brett Seney | 0 | X | 100.00 | 71 | 28 | 42 | 44 | 25 | 47 | 85 | 67 | 65 | 77 | 81 | 50 | 66 | 33 | 42 | 0 | 50 | 64 | 0 | ||||
| 12 | Filip Chlapik | 0 | X | 100.00 | 40 | 30 | 69 | 57 | 60 | 51 | 79 | 59 | 35 | 67 | 76 | 60 | 67 | 45 | 47 | 0 | 47 | 62 | 0 | ||||
| 13 | Nick Jensen | 0 | X | 100.00 | 58 | 30 | 70 | 47 | 63 | 67 | 92 | 80 | 28 | 83 | 75 | 69 | 75 | 56 | 51 | 0 | 50 | 73 | 0 | ||||
| 14 | Derrick Pouliot | 0 | X | 100.00 | 64 | 31 | 63 | 44 | 62 | 63 | 76 | 81 | 28 | 83 | 76 | 48 | 71 | 55 | 54 | 0 | 50 | 72 | 0 | ||||
| 15 | Connor Murphy | 0 | X | 100.00 | 82 | 31 | 56 | 47 | 81 | 66 | 70 | 82 | 26 | 82 | 75 | 67 | 57 | 52 | 53 | 0 | 50 | 71 | 0 | ||||
| 16 | Slater Koekkoek | 0 | X | 100.00 | 81 | 28 | 55 | 46 | 62 | 52 | 89 | 82 | 29 | 81 | 76 | 46 | 65 | 47 | 57 | 0 | 47 | 70 | 0 | ||||
| 17 | Connor Clifton | 0 | X | 100.00 | 83 | 29 | 46 | 47 | 43 | 56 | 80 | 80 | 30 | 80 | 75 | 33 | 67 | 40 | 48 | 0 | 50 | 68 | 0 | ||||
| 18 | Jon Merrill | 0 | X | 100.00 | 64 | 12 | 52 | 45 | 75 | 63 | 77 | 80 | 27 | 82 | 69 | 49 | 59 | 51 | 34 | 0 | 47 | 68 | 0 | ||||
| 19 | Andreas Borgman | 0 | X | 100.00 | 83 | 26 | 61 | 52 | 62 | 50 | 85 | 75 | 30 | 76 | 74 | 44 | 66 | 41 | 42 | 0 | 47 | 66 | 0 | ||||
| Rayé | |||||||||||||||||||||||||||
| 1 | Nikita Scherbak | 0 | X | 100.00 | 47 | 24 | 70 | 51 | 59 | 56 | 67 | 60 | 58 | 67 | 77 | 57 | 67 | 39 | 40 | 0 | 50 | 63 | 0 | ||||
| 2 | Cory Conacher | 0 | X | X | X | 100.00 | 51 | 29 | 49 | 52 | 46 | 44 | 91 | 61 | 33 | 68 | 78 | 53 | 73 | 60 | 56 | 0 | 50 | 62 | 0 | ||
| 3 | Kerby Rychel | 0 | X | 100.00 | 41 | 42 | 81 | 66 | 80 | 46 | 84 | 56 | 31 | 65 | 72 | 65 | 66 | 53 | 60 | 0 | 50 | 62 | 0 | ||||
| 4 | Timothy Gettinger (R) | 0 | X | 100.00 | 54 | 32 | 83 | 70 | 84 | 32 | 83 | 56 | 31 | 64 | 70 | 67 | 68 | 38 | 63 | 0 | 50 | 59 | 0 | ||||
| MOYENNE D'ÉQUIPE | 100.00 | 63 | 27 | 63 | 48 | 60 | 55 | 78 | 69 | 42 | 75 | 77 | 58 | 69 | 48 | 50 | 0 | 49 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Carter Hutton | 100.00 | 94 | 89 | 92 | 85 | 95 | 94 | 93 | 93 | 93 | 76 | 89 | 58 | 71 | 0 | 17 | 86 | 0 | |
| 2 | Malcolm Subban | 100.00 | 89 | 83 | 86 | 82 | 87 | 92 | 89 | 89 | 90 | 61 | 88 | 58 | 70 | 0 | 47 | 82 | 0 | |
| Rayé | ||||||||||||||||||||
| 1 | Al Montoya | 100.00 | 82 | 81 | 82 | 77 | 82 | 88 | 86 | 85 | 90 | 98 | 72 | 34 | 72 | 0 | 50 | 80 | 0 | |
| 2 | Scott Wedgewood | 100.00 | 83 | 88 | 84 | 78 | 82 | 89 | 86 | 86 | 89 | 54 | 60 | 61 | 64 | 0 | 50 | 79 | 0 | |
| 3 | Oscar Dansk | 100.00 | 80 | 87 | 86 | 76 | 81 | 81 | 88 | 83 | 94 | 51 | 60 | 45 | 62 | 0 | 50 | 78 | 0 | |
| 4 | Landon Bow | 100.00 | 80 | 89 | 80 | 77 | 81 | 80 | 87 | 83 | 93 | 51 | 60 | 54 | 61 | 0 | 50 | 78 | 0 | |
| 5 | Brandon Halverson | 100.00 | 79 | 91 | 79 | 77 | 81 | 78 | 85 | 82 | 76 | 50 | 60 | 48 | 58 | 0 | 50 | 74 | 0 | |
| MOYENNE D'ÉQUIPE | 100.00 | 84 | 87 | 84 | 79 | 84 | 86 | 88 | 86 | 89 | 63 | 70 | 51 | 65 | 0 | 45 | 80 | |||
| Nom du Coach | 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Al Montoya | Barracuda (ICE) | G | 34 | 1985-02-13 | No | 200 Lbs | 188 CM | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Andreas Borgman | Barracuda (ICE) | D | 24 | 1995-06-18 | No | 199 Lbs | 183 CM | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien | ||||||||
| Barclay Goodrow | Barracuda (ICE) | RW | 26 | 1993-02-26 | No | 215 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Brandon Halverson | Barracuda (ICE) | G | 23 | 1996-03-29 | No | 210 Lbs | 193 CM | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Brett Seney | Barracuda (ICE) | C | 23 | 1996-02-28 | No | 156 Lbs | 175 CM | No | No | No | 1 | Pro & Farm | 825,000$ | 825,000$ | 0$ | 0$ | No | Lien | |||||||||
| Carter Hutton | Barracuda (ICE) | G | 33 | 1985-12-19 | No | 198 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Connor Clifton | Barracuda (ICE) | D | 24 | 1995-04-28 | No | 175 Lbs | 180 CM | No | No | No | 1 | Pro & Farm | 735,000$ | 735,000$ | 0$ | 0$ | No | Lien | |||||||||
| Connor Murphy | Barracuda (ICE) | D | 26 | 1993-03-26 | No | 212 Lbs | 193 CM | No | No | No | 1 | Pro & Farm | 3,850,000$ | 3,850,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Cory Conacher | Barracuda (ICE) | C/LW/RW | 29 | 1989-12-14 | No | 180 Lbs | 173 CM | No | No | No | 1 | Pro & Farm | 780,000$ | 780,000$ | 0$ | 0$ | No | Lien | |||||||||
| Curtis Lazar | Barracuda (ICE) | C/RW | 24 | 1995-02-02 | No | 205 Lbs | 183 CM | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien / Lien NHL | ||||||||
| Derrick Pouliot | Barracuda (ICE) | D | 25 | 1994-01-16 | No | 196 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Devante Smith-Pelly | Barracuda (ICE) | LW/RW | 27 | 1992-06-14 | No | 223 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 1,430,000$ | 1,430,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Filip Chlapik | Barracuda (ICE) | C | 22 | 1997-06-03 | No | 196 Lbs | 185 CM | No | No | No | 2 | Pro & Farm | 894,166$ | 894,166$ | 0$ | 0$ | No | 894,166$ | Lien | ||||||||
| Jesper Bratt | Barracuda (ICE) | LW | 21 | 1998-07-30 | No | 175 Lbs | 178 CM | No | No | No | 2 | Pro & Farm | 825,000$ | 825,000$ | 0$ | 0$ | No | 825,000$ | Lien | ||||||||
| Joey Anderson | Barracuda (ICE) | C | 21 | 1998-06-19 | Yes | 190 Lbs | 180 CM | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
| Jon Merrill | Barracuda (ICE) | D | 27 | 1992-02-03 | No | 205 Lbs | 191 CM | No | No | No | 2 | Pro & Farm | 1,375,000$ | 1,375,000$ | 0$ | 0$ | No | 1,375,000$ | Lien / Lien NHL | ||||||||
| Kerby Rychel | Barracuda (ICE) | LW | 24 | 1994-10-07 | No | 213 Lbs | 185 CM | No | No | No | 1 | Pro & Farm | 725,000$ | 725,000$ | 0$ | 0$ | No | Lien | |||||||||
| Landon Bow | Barracuda (ICE) | G | 24 | 1995-08-24 | No | 210 Lbs | 196 CM | No | No | No | 1 | Pro & Farm | 697,500$ | 697,500$ | 0$ | 0$ | No | Lien | |||||||||
| Malcolm Subban | Barracuda (ICE) | G | 25 | 1993-12-21 | No | 200 Lbs | 188 CM | No | No | No | 2 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
| Max Comtois | Barracuda (ICE) | LW | 20 | 1999-01-08 | Yes | 207 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
| Nick Jensen | Barracuda (ICE) | D | 29 | 1990-09-21 | No | 194 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 1,080,000$ | 1,080,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Nikita Scherbak | Barracuda (ICE) | RW | 23 | 1995-12-30 | No | 192 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 1,063,333$ | 1,063,333$ | 0$ | 0$ | No | Lien | |||||||||
| Nikolay Goldobin | Barracuda (ICE) | LW | 23 | 1995-10-07 | No | 196 Lbs | 180 CM | No | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | Lien / Lien NHL | ||||||||
| Oscar Dansk | Barracuda (ICE) | G | 25 | 1994-02-28 | No | 195 Lbs | 191 CM | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Sam Steel | Barracuda (ICE) | C | 21 | 1998-02-03 | Yes | 186 Lbs | 180 CM | No | No | No | 1 | Pro & Farm | 863,333$ | 863,333$ | 0$ | 0$ | No | Lien | |||||||||
| Scott Wedgewood | Barracuda (ICE) | G | 27 | 1992-08-14 | No | 195 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | Lien | |||||||||
| Slater Koekkoek | Barracuda (ICE) | D | 25 | 1994-02-18 | No | 193 Lbs | 188 CM | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien / Lien NHL | ||||||||
| Teddy Blueger | Barracuda (ICE) | C | 25 | 1994-08-15 | Yes | 185 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | Lien | |||||||||
| Timothy Gettinger | Barracuda (ICE) | LW | 21 | 1998-04-14 | Yes | 220 Lbs | 198 CM | No | No | No | 1 | Pro & Farm | 730,000$ | 730,000$ | 0$ | 0$ | No | Lien | |||||||||
| Tyler Ennis | Barracuda (ICE) | C/LW | 29 | 1989-10-06 | No | 161 Lbs | 175 CM | No | No | No | 1 | Pro & Farm | 780,000$ | 780,000$ | 0$ | 0$ | No | Lien / Lien NHL |
| Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
|---|---|---|---|---|---|
| 30 | 25.00 | 196 Lbs | 185 CM | 1.17 | 877,611$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | Barclay Goodrow | 40 | 1 | 2 | 2 | ||
| 2 | Tyler Ennis | 30 | 1 | 2 | 2 | ||
| 3 | Joey Anderson | 20 | 1 | 2 | 2 | ||
| 4 | Brett Seney | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | Nick Jensen | Derrick Pouliot | 40 | 1 | 2 | 2 | |
| 2 | Connor Murphy | 30 | 1 | 2 | 2 | ||
| 3 | Nick Jensen | 20 | 1 | 2 | 2 | ||
| 4 | Derrick Pouliot | 10 | 1 | 2 | 2 | ||
| Attaque en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | Barclay Goodrow | 60 | 1 | 2 | 2 | ||
| 2 | Tyler Ennis | 40 | 1 | 2 | 2 | ||
| Défense en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | Nick Jensen | Derrick Pouliot | 60 | 1 | 2 | 2 | |
| 2 | Connor Murphy | 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 | Nick Jensen | Derrick Pouliot | 60 | 1 | 2 | 2 |
| 2 | Connor Murphy | 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 | Nick Jensen | Derrick Pouliot | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | Connor Murphy | 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 | Nick Jensen | Derrick Pouliot | 60 | 1 | 2 | 2 |
| 2 | Connor Murphy | 40 | 1 | 2 | 2 | |
| Attaque Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Barclay Goodrow | Nick Jensen | Derrick Pouliot | ||
| Défense Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Barclay Goodrow | Nick Jensen | Derrick Pouliot | ||
| Attaquants Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| Joey Anderson, Brett Seney, Barclay Goodrow | Joey Anderson, Brett Seney | Barclay Goodrow |
| Défenseurs Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| , Connor Murphy, Nick Jensen | Connor Murphy, Nick Jensen | |
| Tirs de Pénalité |
|---|
| , , , , Barclay Goodrow |
| 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 de l'Aréna | 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 de l'Aréna | Popularité de l'Équipe |
| 42 | 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$ | 2,632,833$ | 2,403,200$ | 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 |
| Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2016 | 84 | 36 | 31 | 0 | 4 | 4 | 8 | 1 | 458 | 288 | 170 | 42 | 22 | 14 | 0 | 2 | 0 | 3 | 1 | 296 | 136 | 160 | 42 | 14 | 17 | 0 | 2 | 4 | 5 | 0 | 162 | 152 | 10 | 72 | 458 | 793 | 1251 | 3 | 1 | 164 | 127 | 155 | 15 | 2808 | 1005 | 917 | 855 | 64 | 2374 | 888 | 1295 | 1536 | 293 | 90 | 30.72% | 384 | 84 | 78.13% | 15 | 1091 | 1697 | 64.29% | 1039 | 1645 | 63.16% | 824 | 1323 | 62.28% | 2099 | 1427 | 1770 | 652 | 1225 | 617 |
| 2016 | 84 | 20 | 49 | 0 | 1 | 5 | 7 | 2 | 275 | 313 | -38 | 42 | 10 | 24 | 0 | 1 | 3 | 3 | 1 | 154 | 143 | 11 | 42 | 10 | 25 | 0 | 0 | 2 | 4 | 1 | 121 | 170 | -49 | 40 | 275 | 452 | 727 | 1 | 0 | 82 | 114 | 71 | 13 | 2263 | 757 | 755 | 729 | 54 | 2839 | 1091 | 1211 | 1205 | 247 | 42 | 17.00% | 315 | 91 | 71.11% | 8 | 669 | 1500 | 44.60% | 730 | 1905 | 38.32% | 489 | 1183 | 41.34% | 1704 | 1097 | 2164 | 673 | 1227 | 584 |
| 2017 | 84 | 15 | 54 | 0 | 2 | 4 | 5 | 4 | 258 | 239 | 19 | 42 | 11 | 22 | 0 | 1 | 2 | 3 | 3 | 155 | 112 | 43 | 42 | 4 | 32 | 0 | 1 | 2 | 2 | 1 | 103 | 127 | -24 | 30 | 258 | 448 | 706 | 1 | 5 | 90 | 82 | 79 | 12 | 2063 | 645 | 660 | 725 | 64 | 2563 | 879 | 734 | 1580 | 254 | 44 | 17.32% | 353 | 69 | 80.45% | 18 | 669 | 1466 | 45.63% | 774 | 1738 | 44.53% | 513 | 1057 | 48.53% | 1739 | 1019 | 1989 | 726 | 1367 | 684 |
| 2018 | 82 | 50 | 23 | 0 | 3 | 3 | 3 | 0 | 484 | 240 | 244 | 41 | 32 | 4 | 0 | 1 | 3 | 1 | 0 | 265 | 101 | 164 | 41 | 18 | 19 | 0 | 2 | 0 | 2 | 0 | 219 | 139 | 80 | 100 | 484 | 854 | 1338 | 0 | 3 | 182 | 161 | 135 | 8 | 3097 | 1118 | 1036 | 926 | 27 | 2746 | 956 | 981 | 1448 | 299 | 75 | 25.08% | 417 | 75 | 82.01% | 29 | 1042 | 1847 | 56.42% | 1014 | 1892 | 53.59% | 794 | 1294 | 61.36% | 1931 | 1257 | 1766 | 654 | 1247 | 635 |
| 2018 | 82 | 30 | 43 | 0 | 1 | 3 | 2 | 3 | 346 | 321 | 25 | 41 | 16 | 20 | 0 | 1 | 2 | 1 | 1 | 177 | 173 | 4 | 41 | 14 | 23 | 0 | 0 | 1 | 1 | 2 | 169 | 148 | 21 | 60 | 346 | 586 | 932 | 2 | 1 | 119 | 121 | 103 | 4 | 2507 | 810 | 808 | 851 | 55 | 3025 | 1037 | 514 | 1650 | 284 | 60 | 21.13% | 242 | 59 | 75.62% | 5 | 653 | 1532 | 42.62% | 765 | 1830 | 41.80% | 526 | 1206 | 43.62% | 1686 | 1005 | 1958 | 677 | 1306 | 666 |
| Total Saison Régulière | 416 | 151 | 200 | 0 | 11 | 19 | 25 | 10 | 1821 | 1401 | 420 | 208 | 91 | 84 | 0 | 6 | 10 | 11 | 6 | 1047 | 665 | 382 | 208 | 60 | 116 | 0 | 5 | 9 | 14 | 4 | 774 | 736 | 38 | 302 | 1821 | 3133 | 4954 | 7 | 10 | 637 | 605 | 543 | 52 | 12738 | 4335 | 4176 | 4086 | 264 | 13547 | 4851 | 4735 | 7419 | 1377 | 311 | 22.59% | 1711 | 378 | 77.91% | 75 | 4124 | 8042 | 51.28% | 4322 | 9010 | 47.97% | 3146 | 6063 | 51.89% | 9160 | 5806 | 9649 | 3385 | 6374 | 3188 |
| Séries | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2016 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 2 | 6 | 9 | 15 | 0 | 0 | 0 | 4 | 1 | 1 | 119 | 33 | 37 | 48 | 1 | 185 | 65 | 26 | 69 | 15 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 31 | 85 | 36.47% | 45 | 128 | 35.16% | 19 | 56 | 33.93% | 90 | 58 | 139 | 42 | 73 | 29 |
| 2018 | 22 | 12 | 10 | 0 | 0 | 0 | 0 | 0 | 99 | 90 | 9 | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 63 | 41 | 22 | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 36 | 49 | -13 | 24 | 99 | 164 | 263 | 0 | 0 | 28 | 28 | 42 | 1 | 802 | 296 | 270 | 220 | 16 | 878 | 313 | 240 | 278 | 92 | 21 | 22.83% | 101 | 18 | 82.18% | 3 | 267 | 496 | 53.83% | 291 | 561 | 51.87% | 189 | 341 | 55.43% | 493 | 326 | 544 | 179 | 323 | 158 |
| Total Séries | 27 | 13 | 14 | 0 | 0 | 0 | 0 | 0 | 105 | 102 | 3 | 13 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 66 | 44 | 22 | 14 | 4 | 10 | 0 | 0 | 0 | 0 | 0 | 39 | 58 | -19 | 26 | 105 | 173 | 278 | 0 | 0 | 28 | 32 | 43 | 2 | 921 | 329 | 307 | 268 | 17 | 1063 | 378 | 266 | 347 | 107 | 21 | 19.63% | 109 | 20 | 81.65% | 3 | 298 | 581 | 51.29% | 336 | 689 | 48.77% | 208 | 397 | 52.39% | 583 | 384 | 684 | 222 | 396 | 187 |