| Checkers | |
| GP: 18 | W: 2 | L: 15 | OTL: 1 | P: 5 GF: 47 | GA: 112 | PP%: 12.28% | PK%: 81.82% DG: Neil | Morale : 50 | Moyenne d’équipe : 60 |
|
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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 | Will Cuylle (R) | X | 100.00 | 78 | 79 | 77 | 64 | 79 | 78 | 82 | 62 | 50 | 55 | 65 | 66 | 62 | 44 | 44 | 66 | 50 | 62 | 0 | 21 | 2 | 902,500$ | ||||
| 2 | William Eklund (R) | X | X | 100.00 | 67 | 63 | 77 | 77 | 63 | 66 | 67 | 64 | 80 | 61 | 62 | 61 | 59 | 45 | 45 | 64 | 50 | 61 | 0 | 20 | 1 | 1,775,000$ | |||
| 3 | Daniil Gushchin (R) | X | 100.00 | 67 | 58 | 88 | 67 | 58 | 74 | 78 | 61 | 50 | 57 | 60 | 60 | 57 | 44 | 44 | 63 | 50 | 60 | 0 | 21 | 2 | 902,500$ | ||||
| 4 | Xavier Bourgault (R) | X | 100.00 | 72 | 64 | 91 | 68 | 64 | 72 | 76 | 60 | 75 | 57 | 58 | 62 | 55 | 44 | 44 | 62 | 50 | 60 | 0 | 20 | 3 | 1,167,500$ | ||||
| 5 | Dylan Holloway (R) | X | X | 100.00 | 81 | 57 | 84 | 61 | 74 | 55 | 64 | 64 | 40 | 61 | 57 | 60 | 25 | 49 | 49 | 62 | 50 | 59 | 0 | 22 | 2 | 925,000$ | |||
| 6 | Fabian Lysell (R) | X | 100.00 | 66 | 62 | 75 | 65 | 62 | 67 | 69 | 63 | 50 | 61 | 61 | 60 | 58 | 44 | 44 | 63 | 50 | 59 | 0 | 20 | 3 | 1,034,167$ | ||||
| 7 | Tyler Tullio (R) | X | 100.00 | 69 | 60 | 90 | 67 | 60 | 75 | 80 | 56 | 50 | 50 | 58 | 60 | 55 | 44 | 44 | 61 | 50 | 58 | 0 | 21 | 3 | 833,333$ | ||||
| 8 | Mattias Samuelsson | X | 100.00 | 84 | 46 | 88 | 74 | 81 | 85 | 77 | 59 | 25 | 51 | 48 | 90 | 25 | 57 | 57 | 65 | 50 | 71 | 0 | 23 | 1 | 925,000$ | ||||
| 9 | Isaak Phillips (R) | X | 100.00 | 82 | 87 | 90 | 64 | 74 | 67 | 83 | 59 | 25 | 59 | 48 | 80 | 25 | 45 | 45 | 64 | 50 | 66 | 0 | 22 | 3 | 925,000$ | ||||
| 10 | Philip Broberg | X | 100.00 | 67 | 43 | 98 | 83 | 76 | 60 | 71 | 62 | 25 | 51 | 47 | 73 | 25 | 52 | 53 | 61 | 50 | 65 | 0 | 22 | 2 | 1,713,333$ | ||||
| 11 | Zachary Jones | X | 100.00 | 61 | 41 | 91 | 70 | 64 | 68 | 83 | 60 | 25 | 45 | 48 | 70 | 75 | 47 | 47 | 59 | 50 | 62 | 0 | 22 | 2 | 925,000$ | ||||
| 12 | Ty Emberson (R) | X | 100.00 | 77 | 72 | 87 | 63 | 72 | 74 | 80 | 51 | 25 | 46 | 42 | 62 | 40 | 44 | 44 | 56 | 50 | 60 | 0 | 23 | 1 | 925,000$ | ||||
| 13 | Jared McIsaac (R) | X | 100.00 | 74 | 69 | 85 | 67 | 69 | 76 | 83 | 51 | 25 | 46 | 41 | 61 | 39 | 44 | 44 | 55 | 50 | 60 | 0 | 23 | 1 | 764,167$ | ||||
| 14 | Jack Thompson (R) | X | 100.00 | 73 | 65 | 91 | 64 | 65 | 76 | 84 | 49 | 25 | 40 | 42 | 60 | 40 | 44 | 44 | 54 | 50 | 59 | 0 | 21 | 3 | 902,500$ | ||||
| 15 | Ronan Seeley (R) | X | 100.00 | 74 | 65 | 95 | 64 | 65 | 71 | 77 | 51 | 25 | 46 | 41 | 61 | 39 | 44 | 44 | 55 | 50 | 59 | 0 | 21 | 3 | 837,500$ | ||||
| 16 | Samuel Knazko (R) | X | 100.00 | 76 | 70 | 89 | 64 | 70 | 61 | 64 | 52 | 25 | 50 | 39 | 62 | 37 | 44 | 44 | 54 | 50 | 58 | 0 | 21 | 3 | 902,500$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Philipp Kurashev | X | 100.00 | 65 | 42 | 93 | 76 | 70 | 77 | 87 | 75 | 49 | 68 | 64 | 73 | 63 | 62 | 62 | 70 | 50 | 68 | 0 | 24 | 0 | 0$ | ||||
| 2 | Kaedan Korczak (R) | X | 100.00 | 71 | 73 | 67 | 73 | 73 | 66 | 71 | 48 | 25 | 39 | 41 | 59 | 39 | 45 | 45 | 53 | 50 | 58 | 0 | 22 | 1 | 925,000$ | ||||
| 3 | Daemon Hunt (R) | X | 100.00 | 77 | 71 | 92 | 67 | 71 | 59 | 63 | 46 | 25 | 37 | 40 | 61 | 38 | 44 | 44 | 52 | 50 | 57 | 0 | 21 | 3 | 902,500$ | ||||
| 4 | Donovan Sebrango (R) | X | 100.00 | 74 | 69 | 85 | 63 | 69 | 64 | 69 | 46 | 25 | 34 | 43 | 60 | 41 | 44 | 44 | 52 | 50 | 56 | 0 | 21 | 1 | 925,000$ | ||||
| 5 | Albert Johansson (R) | X | 100.00 | 67 | 62 | 79 | 64 | 62 | 65 | 70 | 48 | 25 | 39 | 42 | 57 | 40 | 44 | 44 | 52 | 50 | 55 | 0 | 22 | 3 | 919,167$ | ||||
| 6 | Corson Ceulemans (R) | X | 100.00 | 76 | 73 | 82 | 63 | 73 | 47 | 48 | 46 | 25 | 35 | 42 | 61 | 40 | 44 | 44 | 51 | 50 | 55 | 0 | 20 | 3 | 925,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 73 | 63 | 86 | 68 | 69 | 68 | 74 | 56 | 36 | 49 | 50 | 65 | 44 | 46 | 46 | 59 | 50 | 60 | ||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dallas Eakins | 82 | 83 | 77 | 79 | 81 | 76 | 67 | USA | 54 | 2 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jean-Luc Foudy | Hurricanes | C | 12 | 5 | 5 | 10 | -9 | 24 | 0 | 63 | 23 | 22 | 3 | 7 | 22.73% | 34 | 231 | 19.33 | 2 | 1 | 3 | 13 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
| 2 | Dylan Holloway | Checkers (CAR) | C/LW | 18 | 7 | 1 | 8 | -14 | 27 | 5 | 42 | 22 | 33 | 7 | 24 | 21.21% | 16 | 158 | 8.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 60.00% | 5 | 0 | 0 | 0 | 1 | 1.01 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 |
| Statistiques d’équipe totales ou en moyenne | 30 | 12 | 6 | 18 | -23 | 51 | 5 | 105 | 45 | 55 | 10 | 31 | 21.82% | 50 | 390 | 13.03 | 2 | 1 | 3 | 13 | 19 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 60.00% | 5 | 0 | 0 | 0 | 1 | 0.92 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Albert Johansson | Checkers (CAR) | D | 22 | 2001-04-01 | Yes | 168 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 919,167$ | 919,167$ | 0$ | 0$ | No | 919,167$ | 919,167$ | Lien | |||||||
| Corson Ceulemans | Checkers (CAR) | D | 20 | 2003-05-05 | Yes | 198 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Lien | |||||||
| Daemon Hunt | Checkers (CAR) | D | 21 | 2002-05-15 | Yes | 198 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 902,500$ | 902,500$ | 0$ | 0$ | No | 902,500$ | 902,500$ | Lien | |||||||
| Daniil Gushchin | Checkers (CAR) | LW | 21 | 2002-06-02 | Yes | 165 Lbs | 5 ft8 | No | No | No | 2 | Pro & Farm | 902,500$ | 902,500$ | 0$ | 0$ | No | 902,500$ | Lien | ||||||||
| Donovan Sebrango | Checkers (CAR) | D | 21 | 2002-01-12 | Yes | 189 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
| Dylan Holloway | Checkers (CAR) | C/LW | 22 | 2001-09-23 | Yes | 203 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
| Fabian Lysell | Checkers (CAR) | RW | 20 | 2003-01-19 | Yes | 172 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 1,034,167$ | 1,034,167$ | 0$ | 0$ | No | 1,034,167$ | 1,034,167$ | Lien | |||||||
| Isaak Phillips | Checkers (CAR) | D | 22 | 2001-09-28 | Yes | 193 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Lien | |||||||
| Jack Thompson | Checkers (CAR) | D | 21 | 2002-03-19 | Yes | 178 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 902,500$ | 902,500$ | 0$ | 0$ | No | 902,500$ | 902,500$ | Lien | |||||||
| Jared McIsaac | Checkers (CAR) | D | 23 | 2000-03-27 | Yes | 189 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 764,167$ | 764,167$ | 0$ | 0$ | No | Lien | |||||||||
| Kaedan Korczak | Checkers (CAR) | D | 22 | 2001-01-29 | Yes | 192 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
| Mattias Samuelsson | Checkers (CAR) | D | 23 | 2000-03-14 | No | 218 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
| Philip Broberg | Checkers (CAR) | D | 22 | 2001-06-25 | No | 200 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 1,713,333$ | 1,713,333$ | 0$ | 0$ | No | 1,713,333$ | Lien | ||||||||
| Philipp Kurashev | Checkers (CAR) | C | 24 | 1999-10-12 | No | 190 Lbs | 6 ft0 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Ronan Seeley | Checkers (CAR) | D | 21 | 2002-02-08 | Yes | 176 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 837,500$ | 837,500$ | 0$ | 0$ | No | 837,500$ | 837,500$ | Lien | |||||||
| Samuel Knazko | Checkers (CAR) | D | 21 | 2002-07-08 | Yes | 191 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 902,500$ | 902,500$ | 0$ | 0$ | No | 902,500$ | 902,500$ | Lien | |||||||
| Ty Emberson | Checkers (CAR) | D | 23 | 2000-05-24 | Yes | 195 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
| Tyler Tullio | Checkers (CAR) | RW | 21 | 2002-05-04 | Yes | 165 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 833,333$ | 833,333$ | 0$ | 0$ | No | 833,333$ | 833,333$ | Lien | |||||||
| Will Cuylle | Checkers (CAR) | LW | 21 | 2002-05-02 | Yes | 204 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 902,500$ | 902,500$ | 0$ | 0$ | No | 902,500$ | Lien | ||||||||
| William Eklund | Checkers (CAR) | LW/RW | 20 | 2002-12-10 | Yes | 176 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 1,775,000$ | 1,775,000$ | 0$ | 0$ | No | Lien | |||||||||
| Xavier Bourgault | Checkers (CAR) | C | 20 | 2002-10-22 | Yes | 172 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 1,167,500$ | 1,167,500$ | 0$ | 0$ | No | 1,167,500$ | 1,167,500$ | Lien | |||||||
| Zachary Jones | Checkers (CAR) | D | 22 | 2000-10-18 | No | 175 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 22 | 21.50 | 187 Lbs | 6 ft0 | 2.09 | 952,576$ |
| 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 | Dylan Holloway | 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 |
| , Dylan Holloway, | , Dylan Holloway | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Tirs de pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #2 : |
| Lignes d’attaque personnalisées en prolongation |
|---|
| , , , , , , , , , Dylan Holloway, |
| Lignes de défense personnalisées en prolongation |
|---|
| , , , , |
| 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 |
| 1 | Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 20 | 14 | 13 | 0 | 29 | 138 | 136 | 157 | 1 | 69 | 27 | 8 | 27 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 |
| 2 | Comets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 20 | 14 | 13 | 0 | 92 | 138 | 136 | 157 | 1 | 95 | 23 | 14 | 49 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 |
| 3 | Crunch | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 8 | 13 | 21 | 0 | 0 | 20 | 14 | 13 | 0 | 37 | 138 | 136 | 157 | 1 | 96 | 26 | 25 | 27 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 |
| 4 | Griffins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 20 | 14 | 13 | 0 | 36 | 138 | 136 | 157 | 1 | 125 | 39 | 12 | 33 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 |
| 5 | Marlies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 14 | 13 | 0 | 13 | 138 | 136 | 157 | 1 | 72 | 28 | 8 | 20 | 14 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 |
| 6 | Monsters | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 20 | -15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 13 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 20 | 14 | 13 | 0 | 78 | 138 | 136 | 157 | 1 | 116 | 37 | 16 | 59 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 |
| 7 | Rocket | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 17 | -15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | -10 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 20 | 14 | 13 | 0 | 27 | 138 | 136 | 157 | 1 | 90 | 23 | 23 | 33 | 9 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 |
| 8 | Senators | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 14 | 17 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 12 | -4 | 3 | 0.500 | 14 | 27 | 41 | 0 | 0 | 20 | 14 | 13 | 0 | 120 | 138 | 136 | 157 | 1 | 120 | 43 | 8 | 63 | 7 | 4 | 57.14% | 4 | 1 | 75.00% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 |
| Total | 18 | 2 | 15 | 0 | 0 | 1 | 0 | 0 | 47 | 112 | -65 | 9 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 26 | 50 | -24 | 9 | 0 | 8 | 0 | 0 | 1 | 0 | 0 | 21 | 62 | -41 | 5 | 0.139 | 47 | 86 | 133 | 0 | 0 | 20 | 14 | 13 | 0 | 432 | 138 | 136 | 157 | 1 | 783 | 246 | 114 | 311 | 57 | 7 | 12.28% | 44 | 8 | 81.82% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 | |
| _Since Last GM Reset | 18 | 2 | 15 | 0 | 0 | 1 | 0 | 0 | 47 | 112 | -65 | 9 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 26 | 50 | -24 | 9 | 0 | 8 | 0 | 0 | 1 | 0 | 0 | 21 | 62 | -41 | 5 | 0.139 | 47 | 86 | 133 | 0 | 0 | 20 | 14 | 13 | 0 | 432 | 138 | 136 | 157 | 1 | 783 | 246 | 114 | 311 | 57 | 7 | 12.28% | 44 | 8 | 81.82% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 | |
| _Vs Conference | 18 | 2 | 15 | 0 | 0 | 1 | 0 | 0 | 47 | 112 | -65 | 9 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 26 | 50 | -24 | 9 | 0 | 8 | 0 | 0 | 1 | 0 | 0 | 21 | 62 | -41 | 5 | 0.139 | 47 | 86 | 133 | 0 | 0 | 20 | 14 | 13 | 0 | 432 | 138 | 136 | 157 | 1 | 783 | 246 | 114 | 311 | 57 | 7 | 12.28% | 44 | 8 | 81.82% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 | |
| _Vs Division | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 30 | -16 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 17 | -9 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 0 | 0.000 | 14 | 27 | 41 | 0 | 0 | 20 | 14 | 13 | 0 | 170 | 138 | 136 | 157 | 1 | 211 | 60 | 30 | 108 | 13 | 1 | 7.69% | 13 | 4 | 69.23% | 0 | 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% | 288 | 196 | 596 | 127 | 196 | 80 | |
| 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 |
| 18 | 5 | L2 | 47 | 86 | 133 | 432 | 783 | 246 | 114 | 311 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 18 | 2 | 15 | 0 | 1 | 0 | 0 | 47 | 112 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 9 | 2 | 7 | 0 | 0 | 0 | 0 | 26 | 50 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 9 | 0 | 8 | 0 | 1 | 0 | 0 | 21 | 62 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 2 | 8 | 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 |
|---|---|---|---|---|---|---|
| 57 | 7 | 12.28% | 44 | 8 | 81.82% | 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 |
|---|---|---|---|---|---|---|---|
| 138 | 136 | 157 | 1 | 20 | 14 | 13 | 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 |
| 153 | 384 | 39.84% | 191 | 493 | 38.74% | 122 | 309 | 39.48% |
| 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 |
| 288 | 196 | 596 | 127 | 196 | 80 |
| 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 |
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 50 | 0 |
| Assistance | 0 | 0 |
| Assistance PCT | 0.00% | 0.00% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 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 entraineurs |
| 0$ | 2,095,667$ | 2,095,667$ | 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 |
|---|