 | Barracuda |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Dominic Joyal | Morale : 50 | Moyenne d’équipe : 63 |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | Philipp Kurashev | 0 | X | X | X | 100.00 | 65 | 42 | 93 | 76 | 70 | 77 | 87 | 75 | 49 | 50 | 47 | 73 | 63 | 62 | 62 | 0 | 50 | 70 | 0 | 23 | 2 | 750,000$ | ||
| 2 | Curtis Lazar | 0 | X | X | 100.00 | 93 | 59 | 87 | 80 | 76 | 62 | 77 | 57 | 72 | 46 | 46 | 78 | 25 | 70 | 72 | 0 | 50 | 68 | 0 | 28 | 1 | 800,000$ | |||
| 3 | Keegan Kolesar | 0 | X | X | X | 100.00 | 99 | 96 | 74 | 75 | 82 | 61 | 93 | 61 | 35 | 48 | 47 | 69 | 25 | 63 | 64 | 0 | 50 | 68 | 0 | 26 | 1 | 725,000$ | ||
| 4 | Connor Dewar | 0 | X | X | 100.00 | 80 | 56 | 82 | 65 | 62 | 58 | 85 | 60 | 65 | 49 | 46 | 79 | 25 | 58 | 59 | 0 | 50 | 66 | 0 | 24 | 1 | 925,000$ | |||
| 5 | Brett Seney | 0 | X | X | 100.00 | 65 | 61 | 73 | 77 | 61 | 78 | 81 | 67 | 80 | 44 | 44 | 62 | 62 | 51 | 51 | 0 | 50 | 66 | 0 | 27 | 1 | 750,000$ | |||
| 6 | Aleksi Heponiemi | 0 | X | X | 100.00 | 66 | 55 | 93 | 72 | 55 | 79 | 84 | 62 | 78 | 43 | 43 | 60 | 55 | 46 | 46 | 0 | 50 | 65 | 0 | 24 | 2 | 750,000$ | |||
| 7 | Gabriel Fortier (R) | 0 | X | X | 100.00 | 70 | 62 | 87 | 66 | 62 | 85 | 92 | 57 | 50 | 39 | 39 | 61 | 53 | 45 | 45 | 0 | 50 | 65 | 0 | 23 | 1 | 880,000$ | |||
| 8 | Jesse Ylonen (R) | 0 | X | X | 100.00 | 63 | 41 | 99 | 66 | 69 | 65 | 88 | 68 | 44 | 51 | 48 | 65 | 75 | 47 | 47 | 0 | 50 | 65 | 0 | 23 | 2 | 925,000$ | |||
| 9 | Evgeny Svechnikov | 0 | X | X | 100.00 | 82 | 45 | 86 | 77 | 77 | 57 | 82 | 62 | 44 | 48 | 47 | 67 | 25 | 60 | 60 | 0 | 50 | 64 | 0 | 26 | 1 | 750,000$ | |||
| 10 | Jack Drury (R) | 0 | X | 100.00 | 61 | 40 | 88 | 71 | 63 | 57 | 90 | 68 | 64 | 49 | 46 | 62 | 25 | 47 | 47 | 0 | 50 | 62 | 0 | 23 | 1 | 925,000$ | ||||
| 11 | Aatu Raty (R) | 0 | X | 100.00 | 78 | 44 | 91 | 63 | 70 | 51 | 74 | 59 | 76 | 47 | 47 | 60 | 25 | 45 | 45 | 0 | 50 | 59 | 0 | 20 | 2 | 902,500$ | ||||
| 12 | Logan Stanley | 0 | X | 100.00 | 88 | 80 | 70 | 73 | 85 | 63 | 59 | 55 | 25 | 48 | 46 | 79 | 25 | 57 | 58 | 0 | 50 | 62 | 0 | 25 | 2 | 900,000$ | ||||
| 13 | Gustav Lindstrom | 0 | X | 100.00 | 76 | 43 | 83 | 75 | 70 | 65 | 67 | 60 | 25 | 49 | 45 | 67 | 25 | 59 | 59 | 0 | 50 | 62 | 0 | 24 | 1 | 850,000$ | ||||
| 14 | Cale Fleury | 0 | X | 100.00 | 88 | 46 | 94 | 74 | 75 | 62 | 59 | 58 | 25 | 47 | 45 | 71 | 25 | 51 | 51 | 0 | 50 | 60 | 0 | 24 | 1 | 750,000$ | ||||
| 15 | Jacob Larsson | 0 | X | 100.00 | 73 | 72 | 75 | 77 | 72 | 71 | 77 | 50 | 25 | 38 | 38 | 65 | 39 | 64 | 64 | 0 | 50 | 59 | 0 | 26 | 2 | 750,000$ | ||||
| 16 | Alex Vlasic | 0 | X | 100.00 | 81 | 79 | 86 | 75 | 79 | 56 | 58 | 51 | 25 | 40 | 40 | 65 | 38 | 45 | 45 | 0 | 50 | 55 | 0 | 22 | 1 | 1,491,667$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Michael Eyssimont (R) | 0 | X | X | 100.00 | 85 | 79 | 68 | 69 | 71 | 63 | 78 | 68 | 37 | 49 | 46 | 69 | 25 | 49 | 49 | 0 | 50 | 66 | 0 | 27 | 1 | 650,000$ | |||
| 2 | Dylan Samberg (R) | 0 | X | 100.00 | 79 | 54 | 87 | 70 | 73 | 66 | 72 | 62 | 25 | 48 | 45 | 84 | 25 | 51 | 51 | 0 | 50 | 64 | 0 | 24 | 2 | 1,175,000$ | ||||
| 3 | Derrick Pouliot | 0 | X | 100.00 | 69 | 71 | 65 | 77 | 71 | 63 | 65 | 58 | 25 | 44 | 44 | 65 | 41 | 63 | 63 | 0 | 50 | 60 | 0 | 29 | 1 | 750,000$ | ||||
| 4 | Simon Edvinsson (R) | 0 | X | 100.00 | 74 | 75 | 73 | 78 | 75 | 65 | 69 | 53 | 25 | 42 | 42 | 61 | 40 | 44 | 44 | 0 | 50 | 57 | 0 | 20 | 2 | 1,775,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 77 | 60 | 83 | 73 | 71 | 65 | 77 | 61 | 45 | 46 | 45 | 68 | 37 | 54 | 54 | 0 | 50 | 63 | |||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Daniel Vladar | 0 | 100.00 | 62 | 55 | 54 | 80 | 65 | 58 | 79 | 63 | 65 | 62 | 75 | 48 | 49 | 0 | 50 | 65 | 0 | 26 | 1 | 750,000$ | |
| Rayé | ||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 62 | 55 | 54 | 80 | 65 | 58 | 79 | 63 | 65 | 62 | 75 | 48 | 49 | 0 | 50 | 65 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial Non Activé | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Non-échange Année 2 | Non-échange Année 3 | Non-échange Année 4 | Non-échange Année 5 | Non-échange Année 6 | Non-échange Année 7 | Non-échange Année 8 | Non-échange Année 9 | Non-échange Année 10 | Lien |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aatu Raty | Barracuda (ICE) | C | 20 | 11/14/2002 | Yes | 185 Lbs | 188 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 902,500$ | 0$ | 0$ | No | 902,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||||
| Aleksi Heponiemi | Barracuda (ICE) | LW/RW | 24 | 1/8/1999 | No | 150 Lbs | 175 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
| Alex Vlasic | Barracuda (ICE) | D | 22 | 6/5/2001 | No | 200 Lbs | 198 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,491,667$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
| Brett Seney | Barracuda (ICE) | C/LW | 27 | 2/27/1996 | No | 174 Lbs | 175 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
| Cale Fleury | Barracuda (ICE) | D | 24 | 11/18/1998 | No | 205 Lbs | 185 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
| Connor Dewar | Barracuda (ICE) | C/LW | 24 | 6/26/1999 | No | 170 Lbs | 178 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
| Curtis Lazar | Barracuda (ICE) | C/RW | 28 | 2/2/1995 | No | 211 Lbs | 183 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |||
| Daniel Vladar | Barracuda (ICE) | G | 26 | 8/20/1997 | No | 185 Lbs | 196 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
| Derrick Pouliot | Barracuda (ICE) | D | 29 | 1/16/1994 | No | 196 Lbs | 183 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
| Dylan Samberg | Barracuda (ICE) | D | 24 | 1/24/1999 | Yes | 190 Lbs | 191 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,175,000$ | 0$ | 0$ | No | 1,175,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
| Evgeny Svechnikov | Barracuda (ICE) | LW/RW | 26 | 10/31/1996 | No | 208 Lbs | 191 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |||
| Gabriel Fortier | Barracuda (ICE) | C/LW | 23 | 2/6/2000 | Yes | 170 Lbs | 178 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 880,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
| Gustav Lindstrom | Barracuda (ICE) | D | 24 | 10/20/1998 | No | 187 Lbs | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |||
| Jack Drury | Barracuda (ICE) | C | 23 | 2/3/2000 | Yes | 174 Lbs | 180 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
| Jacob Larsson | Barracuda (ICE) | D | 26 | 4/29/1997 | No | 190 Lbs | 188 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |||
| Jesse Ylonen | Barracuda (ICE) | LW/RW | 23 | 10/3/1999 | Yes | 188 Lbs | 185 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
| Keegan Kolesar | Barracuda (ICE) | C/LW/RW | 26 | 4/8/1997 | No | 216 Lbs | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 725,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |||
| Logan Stanley | Barracuda (ICE) | D | 25 | 5/25/1998 | No | 216 Lbs | 198 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
| Michael Eyssimont | Barracuda (ICE) | C/LW | 27 | 9/9/1996 | Yes | 192 Lbs | 183 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 650,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
| Philipp Kurashev | Barracuda (ICE) | C/LW/RW | 23 | 10/12/1999 | No | 190 Lbs | 183 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
| Simon Edvinsson | Barracuda (ICE) | D | 20 | 5/2/2003 | Yes | 198 Lbs | 193 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,775,000$ | 0$ | 0$ | No | 1,775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 21 | 24.48 | 190 Lbs | 185 CM | 1.38 | 901,151$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Keegan Kolesar | 40 | 1 | 2 | 2 | ||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Keegan Kolesar | 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 | Keegan Kolesar | 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 | Keegan Kolesar | 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 | Keegan Kolesar | 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 |
| Keegan Kolesar | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Keegan Kolesar | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Tirs de pénalité |
|---|
| , , Keegan Kolesar, , |
| 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 |
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total pour les joueurs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 0 |
| Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mises en jeu | ||||||||
|---|---|---|---|---|---|---|---|---|
| Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| Temps avec la rondelle | |||||
|---|---|---|---|---|---|
| En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
|---|
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 15 |
| Assistance | 0% | 0% |
| Assistance PCT | 0% | 0% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 45 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 1,892,417$ | 1,560,250$ | 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 |
|---|
Barbus
Caribou
Casse-Tete
Chevalier
Hybrides
Knights
Werewolves
Benchwarmers
Diabotins
Hooligans
Jardiniers
Leftovers
Pirates
Requins
Vagabond
