 | Thunderbirds |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Mathieu Guimond | Morale : 75 | 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 | Vladislav Kamenev | 0 | X | X | X | 100.00 | 69 | 35 | 94 | 66 | 79 | 68 | 73 | 68 | 74 | 68 | 61 | 60 | 65 | 69 | 66 | 0 | 75 | 65 | 0 | 25 | 3 | 900,000$ | ||
| 2 | Alex Limoges (R) | 0 | X | 100.00 | 58 | 43 | 83 | 65 | 78 | 80 | 82 | 66 | 73 | 64 | 67 | 63 | 68 | 67 | 64 | 0 | 75 | 64 | 0 | 24 | 3 | 925,000$ | ||||
| 3 | Kyle Rau | 0 | X | 100.00 | 76 | 46 | 79 | 63 | 65 | 76 | 78 | 65 | 68 | 64 | 59 | 66 | 63 | 77 | 69 | 0 | 75 | 64 | 0 | 29 | 2 | 700,000$ | ||||
| 4 | Jayce Hawryluk | 0 | X | X | 100.00 | 84 | 39 | 86 | 64 | 72 | 66 | 71 | 62 | 61 | 64 | 61 | 59 | 64 | 69 | 66 | 0 | 75 | 64 | 0 | 26 | 1 | 711,500$ | |||
| 5 | Logan Shaw | 0 | X | 100.00 | 62 | 35 | 95 | 62 | 85 | 65 | 71 | 63 | 79 | 62 | 62 | 61 | 63 | 77 | 75 | 0 | 75 | 64 | 0 | 29 | 3 | 999,000$ | ||||
| 6 | Clark Bishop | 0 | X | 100.00 | 79 | 39 | 86 | 63 | 77 | 81 | 84 | 62 | 71 | 66 | 61 | 62 | 64 | 69 | 63 | 0 | 75 | 64 | 0 | 25 | 3 | 900,000$ | ||||
| 7 | Nikolay Goldobin | 0 | X | 100.00 | 58 | 35 | 92 | 64 | 72 | 75 | 71 | 67 | 58 | 65 | 63 | 56 | 68 | 71 | 66 | 0 | 75 | 63 | 0 | 26 | 3 | 999,000$ | ||||
| 8 | Dominic Turgeon | 0 | X | 100.00 | 71 | 35 | 92 | 62 | 80 | 83 | 88 | 59 | 71 | 60 | 58 | 65 | 59 | 68 | 70 | 0 | 75 | 63 | 0 | 25 | 3 | 900,000$ | ||||
| 9 | Brett Seney | 0 | X | X | 100.00 | 58 | 35 | 95 | 63 | 61 | 76 | 77 | 64 | 69 | 62 | 60 | 58 | 63 | 69 | 65 | 0 | 75 | 62 | 0 | 25 | 3 | 900,000$ | |||
| 10 | Sebastian Repo | 0 | X | X | X | 100.00 | 64 | 36 | 75 | 61 | 86 | 76 | 71 | 59 | 55 | 58 | 60 | 56 | 61 | 69 | 65 | 0 | 75 | 61 | 0 | 25 | 1 | 909,000$ | ||
| 11 | Diego Cuglietta (R) | 0 | X | 100.00 | 57 | 35 | 93 | 56 | 69 | 72 | 77 | 58 | 53 | 56 | 55 | 54 | 53 | 71 | 66 | 0 | 75 | 59 | 0 | 26 | 3 | 925,000$ | ||||
| 12 | Cody Franson (R) | 0 | X | 100.00 | 83 | 70 | 86 | 60 | 94 | 72 | 77 | 63 | 30 | 66 | 56 | 64 | 51 | 84 | 77 | 0 | 75 | 65 | 0 | 34 | 3 | 925,000$ | ||||
| 13 | Brogan Rafferty | 0 | X | 100.00 | 58 | 35 | 95 | 65 | 73 | 84 | 79 | 66 | 30 | 67 | 56 | 68 | 54 | 71 | 66 | 0 | 75 | 64 | 0 | 26 | 2 | 925,000$ | ||||
| 14 | Adam Clendening | 0 | X | 100.00 | 64 | 59 | 64 | 63 | 73 | 87 | 92 | 65 | 30 | 68 | 56 | 61 | 52 | 77 | 69 | 0 | 75 | 63 | 0 | 29 | 1 | 900,000$ | ||||
| 15 | Alexander Yelesin | 0 | X | 100.00 | 82 | 35 | 95 | 61 | 73 | 85 | 78 | 60 | 30 | 59 | 56 | 64 | 53 | 69 | 71 | 0 | 75 | 63 | 0 | 25 | 2 | 925,000$ | ||||
| 16 | Ryan Murphy (R) | 0 | X | 100.00 | 60 | 33 | 71 | 65 | 69 | 83 | 88 | 63 | 30 | 67 | 56 | 61 | 50 | 75 | 71 | 0 | 75 | 63 | 0 | 28 | 3 | 925,000$ | ||||
| 17 | Cavan Fitzgerald | 0 | X | 100.00 | 64 | 39 | 86 | 58 | 75 | 68 | 73 | 57 | 30 | 56 | 55 | 59 | 52 | 69 | 68 | 0 | 75 | 60 | 0 | 25 | 1 | 770,000$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Reid Boucher | 0 | X | 100.00 | 58 | 33 | 72 | 64 | 71 | 85 | 90 | 65 | 74 | 66 | 67 | 63 | 68 | 75 | 69 | 0 | 75 | 65 | 0 | 28 | 3 | 999,000$ | ||||
| 2 | Patrick Brown | 0 | X | X | 100.00 | 79 | 39 | 87 | 63 | 79 | 72 | 77 | 64 | 73 | 62 | 63 | 58 | 64 | 77 | 69 | 0 | 75 | 64 | 0 | 29 | 3 | 999,000$ | |||
| 3 | Chaz Reddekopp | 0 | X | 100.00 | 78 | 73 | 57 | 52 | 87 | 71 | 75 | 53 | 30 | 51 | 50 | 56 | 45 | 67 | 63 | 0 | 75 | 57 | 0 | 24 | 1 | 847,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 68 | 41 | 84 | 62 | 76 | 76 | 79 | 62 | 54 | 63 | 59 | 61 | 59 | 72 | 68 | 0 | 75 | 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 | Maxime Lagace | 100.00 | 77 | 82 | 81 | 78 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 75 | 81 | 0 | 75 | 67 | 0 | 28 | 1 | 900,000$ | |
| 2 | Michael Houser (R) | 100.00 | 74 | 73 | 86 | 74 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 77 | 83 | 0 | 75 | 65 | 0 | 29 | 3 | 925,000$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Artyom Zagidulin | 100.00 | 72 | 83 | 81 | 76 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 73 | 76 | 0 | 75 | 64 | 0 | 26 | 2 | 925,000$ | |
| 2 | Gilles Senn | 100.00 | 72 | 74 | 72 | 88 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 69 | 73 | 0 | 75 | 64 | 0 | 25 | 2 | 925,000$ | |
| 3 | Emil Larmi | 100.00 | 62 | 78 | 80 | 71 | 61 | 60 | 62 | 61 | 60 | 62 | 61 | 69 | 73 | 0 | 75 | 58 | 0 | 25 | 2 | 925,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 71 | 78 | 80 | 77 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 73 | 77 | 0 | 75 | 64 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Greg Moore | 62 | 60 | 71 | 73 | 57 | 54 | 88 | USA | 37 | 3 | 700,000$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Clendening | Thunderbirds (STL) | D | 29 | 10/26/1992 | No | 194 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Alex Limoges | Thunderbirds (STL) | C | 24 | 9/16/1997 | Yes | 201 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 925,000$ | 550,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
| Alexander Yelesin | Thunderbirds (STL) | D | 25 | 2/7/1996 | No | 195 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien / Lien NHL | ||||||||||
| Artyom Zagidulin | Thunderbirds (STL) | G | 26 | 8/8/1995 | No | 180 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien / Lien NHL | ||||||||||
| Brett Seney | Thunderbirds (STL) | C/LW | 25 | 2/28/1996 | No | 156 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | Lien / Lien NHL | |||||||||
| Brogan Rafferty | Thunderbirds (STL) | D | 26 | 5/28/1995 | No | 195 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien / Lien NHL | ||||||||||
| Cavan Fitzgerald | Thunderbirds (STL) | D | 25 | 8/23/1996 | No | 190 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 770,000$ | 846,666$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Chaz Reddekopp | Thunderbirds (STL) | D | 24 | 1/1/1997 | No | 219 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 847,000$ | 847,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Clark Bishop | Thunderbirds (STL) | C | 25 | 3/29/1996 | No | 199 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 900,000$ | 550,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | Lien / Lien NHL | |||||||||
| Cody Franson | Thunderbirds (STL) | D | 34 | 8/8/1987 | Yes | 224 Lbs | 6 ft5 | No | No | No | 3 | Pro & Farm | 925,000$ | 550,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
| Diego Cuglietta | Thunderbirds (STL) | LW | 26 | 4/12/1995 | Yes | 176 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | |||||||||||
| Dominic Turgeon | Thunderbirds (STL) | C | 25 | 2/25/1996 | No | 199 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | Lien / Lien NHL | |||||||||
| Emil Larmi | Thunderbirds (STL) | G | 25 | 9/28/1996 | No | 185 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien / Lien NHL | ||||||||||
| Gilles Senn | Thunderbirds (STL) | G | 25 | 3/1/1996 | No | 191 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien / Lien NHL | ||||||||||
| Jayce Hawryluk | Thunderbirds (STL) | LW/RW | 26 | 1/1/1996 | No | 196 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 711,500$ | 782,667$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Kyle Rau | Thunderbirds (STL) | LW | 29 | 10/24/1992 | No | 176 Lbs | 5 ft8 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien / Lien NHL | ||||||||||
| Logan Shaw | Thunderbirds (STL) | RW | 29 | 10/5/1992 | No | 208 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 999,000$ | 999,000$ | 0$ | 0$ | No | 999,000$ | 999,000$ | Lien / Lien NHL | |||||||||
| Maxime Lagace | Thunderbirds (STL) | G | 28 | 1/12/1993 | No | 190 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Michael Houser | Thunderbirds (STL) | G | 29 | 9/13/1992 | Yes | 185 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 925,000$ | 550,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
| Nikolay Goldobin | Thunderbirds (STL) | RW | 26 | 10/7/1995 | No | 196 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 999,000$ | 999,000$ | 0$ | 0$ | No | 999,000$ | 999,000$ | Lien / Lien NHL | |||||||||
| Patrick Brown | Thunderbirds (STL) | C/RW | 29 | 5/29/1992 | No | 210 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 999,000$ | 999,000$ | 0$ | 0$ | No | 999,000$ | 999,000$ | Lien / Lien NHL | |||||||||
| Reid Boucher | Thunderbirds (STL) | LW | 28 | 9/8/1993 | No | 195 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 999,000$ | 999,000$ | 0$ | 0$ | No | 999,000$ | 999,000$ | Lien / Lien NHL | |||||||||
| Ryan Murphy | Thunderbirds (STL) | D | 28 | 3/31/1993 | Yes | 181 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 925,000$ | 550,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Lien | |||||||||
| Sebastian Repo | Thunderbirds (STL) | C/LW/RW | 25 | 6/23/1996 | No | 211 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 909,000$ | 909,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Vladislav Kamenev | Thunderbirds (STL) | C/LW/RW | 25 | 8/12/1996 | No | 194 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 25 | 26.64 | 194 Lbs | 6 ft1 | 2.28 | 903,340$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 34 | 1 | 2 | 2 | |||
| 2 | 33 | 1 | 2 | 2 | |||
| 3 | Logan Shaw | 26 | 1 | 2 | 2 | ||
| 4 | 7 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Brogan Rafferty | 33 | 1 | 2 | 2 | ||
| 2 | 32 | 1 | 2 | 2 | |||
| 3 | Ryan Murphy | 31 | 1 | 2 | 2 | ||
| 4 | Brogan Rafferty | 4 | 1 | 2 | 2 | ||
| Attaque en svantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Défense en svantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Brogan Rafferty | 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 | Brogan Rafferty | 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 | Brogan Rafferty | 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 | Brogan Rafferty | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brogan Rafferty | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brogan Rafferty | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Logan Shaw, , | Logan Shaw, | Logan Shaw |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , Ryan Murphy, | , Ryan Murphy | |
| Tirs de pénalité |
|---|
| , , , , Logan Shaw |
| Gardien |
|---|
| #1 : , #2 : Michael Houser |
| Lignes d’attaque personnalisées en prolongation |
|---|
| , , , , Logan Shaw, , , , , , |
| Lignes de défense personnalisées en prolongation |
|---|
| , Brogan Rafferty, , , Ryan Murphy |
| 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 | 0.00% | 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 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 | 0.00% | 0 | 0 | 0.00% | 0 |
| Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mises en jeu | ||||||||
|---|---|---|---|---|---|---|---|---|
| Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
| 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
| Temps avec la rondelle | |||||
|---|---|---|---|---|---|
| En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
|---|
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 30 | 18 |
| Assistance | 0.00% | 0.00% |
| 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 |
| 41 | 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$ | 2,258,350$ | 1,995,634$ | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Brogan Rafferty | 82 | 22 | 57 | 79 | -8 | 10 | 115 | 165 | 222 | 9.91% | 178 | 1760 | 21.46 | 10 | 10 | 20 | 127 | 0 | 1 | 1 | 0 | 6 | 0 | 0.00% | 1 | 0.90 | 0 | 1 |
| 2 | Patrick Brown | 66 | 45 | 32 | 77 | 10 | 48 | 219 | 265 | 400 | 11.25% | 20 | 1277 | 19.35 | 9 | 8 | 17 | 64 | 1 | 0 | 1 | 2 | 8 | 0 | 55.90% | 1 | 1.21 | 1 | 4 |
| 3 | Reid Boucher | 70 | 31 | 33 | 64 | -6 | 24 | 218 | 168 | 405 | 7.65% | 33 | 1507 | 21.54 | 1 | 10 | 11 | 74 | 1 | 0 | 1 | 6 | 3 | 0 | 49.66% | 0 | 0.85 | 4 | 4 |
| 4 | Logan Shaw | 72 | 25 | 29 | 54 | 8 | 16 | 97 | 114 | 226 | 11.06% | 32 | 1016 | 14.12 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 62.16% | 0 | 1.06 | 0 | 3 |
| 5 | Adam Clendening | 50 | 7 | 44 | 51 | -8 | 30 | 131 | 87 | 120 | 5.83% | 90 | 1045 | 20.91 | 5 | 9 | 14 | 52 | 0 | 1 | 1 | 0 | 2 | 0 | 0.00% | 0 | 0.98 | 0 | 0 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Michael Houser | 62 | 28 | 26 | 4 | 0.903 | 3.79 | 3499 | 4 | 0 | 221 | 2282 | 0 | 5 | 2 | 0.800 | 15 |
| 2 | Gilles Senn | 10 | 6 | 3 | 1 | 0.931 | 2.27 | 608 | 0 | 1 | 23 | 334 | 0 | 0 | 1 | 0.833 | 6 |
| 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 |
| Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 23 | 82 | 28 | 40 | 0 | 4 | 6 | 4 | 0 | 295 | 333 | -38 | 41 | 19 | 16 | 0 | 3 | 2 | 1 | 0 | 160 | 150 | 10 | 41 | 9 | 24 | 0 | 1 | 4 | 3 | 0 | 135 | 183 | -48 | 78 | 295 | 519 | 814 | 3 | 1 | 103 | 104 | 80 | 12 | 3063 | 1003 | 1014 | 1019 | 48 | 3305 | 964 | 491 | 1912 | 267 | 51 | 19.10% | 200 | 56 | 72.00% | 4 | 1407 | 3072 | 45.80% | 1361 | 3229 | 42.15% | 597 | 1388 | 43.01% | 1862 | 1321 | 2105 | 586 | 995 | 477 |
| Total Saison régulière | 82 | 28 | 40 | 0 | 4 | 6 | 4 | 0 | 295 | 333 | -38 | 41 | 19 | 16 | 0 | 3 | 2 | 1 | 0 | 160 | 150 | 10 | 41 | 9 | 24 | 0 | 1 | 4 | 3 | 0 | 135 | 183 | -48 | 78 | 295 | 519 | 814 | 3 | 1 | 103 | 104 | 80 | 12 | 3063 | 1003 | 1014 | 1019 | 48 | 3305 | 964 | 491 | 1912 | 267 | 51 | 19.10% | 200 | 56 | 72.00% | 4 | 1407 | 3072 | 45.80% | 1361 | 3229 | 42.15% | 597 | 1388 | 43.01% | 1862 | 1321 | 2105 | 586 | 995 | 477 |
| # | 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 |
|---|
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