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| Seattle | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Yvon Bergeron | Morale : 50 | Moyenne d’équipe : 61 Prochains matchs #9 vs Admirals |
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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 moyen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | William Carrier | X | 100.00 | 90 | 46 | 84 | 79 | 79 | 61 | 83 | 62 | 44 | 63 | 66 | 66 | 25 | 65 | 68 | 0 | 50 | 65 | 0 | 26 | 2 | 1,100,000$ | ||||
| 2 | Oliver Wahlstrom | X | 100.00 | 79 | 59 | 72 | 80 | 77 | 62 | 84 | 69 | 38 | 62 | 71 | 60 | 41 | 58 | 59 | 0 | 50 | 64 | 0 | 21 | 2 | 925,001$ | ||||
| 3 | Josh Leivo | X | X | 100.00 | 74 | 72 | 80 | 71 | 72 | 73 | 75 | 67 | 50 | 61 | 66 | 70 | 63 | 63 | 63 | 0 | 50 | 64 | 0 | 28 | 1 | 2,000,000$ | |||
| 4 | Daniel Sprong | X | 100.00 | 69 | 43 | 95 | 84 | 73 | 63 | 78 | 66 | 25 | 60 | 72 | 60 | 75 | 65 | 66 | 0 | 50 | 64 | 0 | 24 | 1 | 700,000$ | ||||
| 5 | Michael McCarron | X | X | 100.00 | 88 | 99 | 63 | 69 | 91 | 57 | 62 | 64 | 83 | 62 | 66 | 78 | 25 | 57 | 57 | 0 | 50 | 64 | 0 | 26 | 2 | 700,000$ | |||
| 6 | Nicolas Aube-Kubel | X | 100.00 | 84 | 54 | 81 | 76 | 68 | 56 | 88 | 60 | 32 | 63 | 68 | 68 | 25 | 61 | 61 | 0 | 50 | 63 | 0 | 25 | 1 | 1,573,000$ | ||||
| 7 | Alex Barre-Boulet | X | 100.00 | 67 | 42 | 91 | 73 | 65 | 58 | 75 | 69 | 40 | 65 | 71 | 62 | 25 | 46 | 46 | 0 | 50 | 62 | 0 | 24 | 3 | 759,258$ | ||||
| 8 | Radim Zohorna | X | X | X | 100.00 | 79 | 45 | 91 | 68 | 85 | 56 | 64 | 67 | 37 | 69 | 62 | 68 | 25 | 46 | 46 | 0 | 50 | 62 | 0 | 25 | 3 | 792,500$ | ||
| 9 | Ty Dellandrea (R) | X | X | 100.00 | 74 | 71 | 82 | 75 | 71 | 74 | 77 | 64 | 80 | 59 | 64 | 65 | 61 | 46 | 46 | 0 | 50 | 62 | 0 | 21 | 3 | 863,333$ | |||
| 10 | Brett Murray | X | 100.00 | 73 | 78 | 67 | 69 | 87 | 64 | 76 | 61 | 25 | 66 | 60 | 61 | 25 | 45 | 45 | 0 | 50 | 60 | 0 | 23 | 3 | 775,000$ | ||||
| 11 | Jansen Harkins | X | X | 100.00 | 69 | 52 | 93 | 67 | 68 | 54 | 77 | 58 | 57 | 55 | 59 | 65 | 25 | 61 | 62 | 0 | 50 | 59 | 0 | 24 | 1 | 750,000$ | |||
| 12 | Fredrik Karlstrom | X | 100.00 | 80 | 73 | 97 | 66 | 73 | 60 | 61 | 57 | 71 | 49 | 61 | 65 | 58 | 44 | 44 | 0 | 50 | 58 | 0 | 23 | 3 | 700,000$ | ||||
| 13 | Jake Walman | X | 100.00 | 73 | 42 | 93 | 74 | 65 | 64 | 64 | 64 | 25 | 51 | 48 | 74 | 25 | 58 | 59 | 0 | 50 | 63 | 0 | 25 | 1 | 910,000$ | ||||
| 14 | Kale Clague | X | 100.00 | 63 | 41 | 83 | 76 | 65 | 70 | 67 | 69 | 25 | 56 | 48 | 66 | 25 | 50 | 50 | 0 | 50 | 61 | 0 | 23 | 4 | 1,700,000$ | ||||
| 15 | Brendan Guhle | X | 100.00 | 75 | 73 | 78 | 79 | 73 | 57 | 61 | 47 | 25 | 35 | 41 | 64 | 39 | 59 | 59 | 0 | 50 | 59 | 0 | 24 | 3 | 650,000$ | ||||
| 16 | Jeremy Davies | X | 100.00 | 69 | 66 | 76 | 68 | 66 | 65 | 68 | 55 | 25 | 51 | 43 | 60 | 41 | 46 | 46 | 0 | 50 | 57 | 0 | 24 | 1 | 925,000$ | ||||
| 17 | Simon Lundmark (R) | X | 100.00 | 80 | 75 | 91 | 70 | 75 | 51 | 52 | 47 | 25 | 38 | 41 | 63 | 39 | 44 | 44 | 0 | 50 | 56 | 0 | 20 | 4 | 850,833$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 76 | 61 | 83 | 73 | 74 | 61 | 71 | 62 | 42 | 57 | 59 | 66 | 38 | 54 | 54 | 0 | 50 | 61 | ||||||||||
| 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 moyen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Daniel Vladar | 100.00 | 71 | 46 | 46 | 80 | 77 | 65 | 70 | 71 | 76 | 71 | 75 | 46 | 46 | 0 | 50 | 65 | 0 | 24 | 1 | 700,000$ | |
| 2 | Spencer Martin | 100.00 | 59 | 49 | 61 | 73 | 62 | 64 | 60 | 65 | 66 | 65 | 30 | 44 | 44 | 0 | 50 | 60 | 0 | 26 | 2 | 750,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 65 | 48 | 54 | 77 | 70 | 65 | 65 | 68 | 71 | 68 | 53 | 45 | 45 | 0 | 50 | 63 | ||||||
| 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 | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Barre-Boulet | Seattle (SEA) | C | 24 | 1997-05-20 | No | 180 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 759,258$ | 759,258$ | 75,926$ | 75,926$ | No | 759,258$ | 759,258$ | Lien | |||||||
| Brendan Guhle | Seattle (SEA) | D | 24 | 1997-07-29 | No | 197 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 650,000$ | 650,000$ | 65,000$ | 65,000$ | No | 650,000$ | 650,000$ | Lien | |||||||
| Brett Murray | Seattle (SEA) | LW | 23 | 1998-07-19 | No | 228 Lbs | 6 ft5 | No | No | No | 3 | Pro & Farm | 775,000$ | 775,000$ | 77,500$ | 77,500$ | No | 775,000$ | 775,000$ | Lien | |||||||
| Daniel Sprong | Seattle (SEA) | RW | 24 | 1997-03-17 | No | 200 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | Lien | |||||||||
| Daniel Vladar | Seattle (SEA) | G | 24 | 1997-08-20 | No | 185 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | Lien | |||||||||
| Fredrik Karlstrom | Seattle (SEA) | C | 23 | 1998-01-12 | No | 196 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | 700,000$ | 700,000$ | Lien | |||||||
| Jake Walman | Seattle (SEA) | D | 25 | 1996-02-20 | No | 170 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 910,000$ | 910,000$ | 91,000$ | 91,000$ | No | Lien | |||||||||
| Jansen Harkins | Seattle (SEA) | C/LW | 24 | 1997-05-23 | No | 182 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 75,000$ | No | Lien | |||||||||
| Jeremy Davies | Seattle (SEA) | D | 24 | 1996-12-04 | No | 180 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | Lien | |||||||||
| Josh Leivo | Seattle (SEA) | LW/RW | 28 | 1993-05-26 | No | 192 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 2,000,000$ | 2,000,000$ | 200,000$ | 200,000$ | No | Lien | |||||||||
| Kale Clague | Seattle (SEA) | D | 23 | 1998-06-05 | No | 177 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 1,700,000$ | 1,700,000$ | 170,000$ | 170,000$ | No | 1,700,000$ | 1,700,000$ | 1,700,000$ | Lien | ||||||
| Michael McCarron | Seattle (SEA) | C/RW | 26 | 1995-03-07 | No | 232 Lbs | 6 ft6 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | 700,000$ | Lien | ||||||||
| Nicolas Aube-Kubel | Seattle (SEA) | RW | 25 | 1996-05-09 | No | 187 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,573,000$ | 1,573,000$ | 157,300$ | 157,300$ | No | Lien | |||||||||
| Oliver Wahlstrom | Seattle (SEA) | RW | 21 | 2000-06-13 | No | 205 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 925,001$ | 925,001$ | 92,500$ | 92,500$ | No | 925,001$ | Lien | ||||||||
| Radim Zohorna | Seattle (SEA) | C/LW/RW | 25 | 1996-04-29 | No | 220 Lbs | 6 ft6 | No | No | No | 3 | Pro & Farm | 792,500$ | 792,500$ | 79,250$ | 79,250$ | No | 792,500$ | 792,500$ | Lien | |||||||
| Simon Lundmark | Seattle (SEA) | D | 20 | 2000-10-08 | Yes | 201 Lbs | 6 ft2 | No | No | No | 4 | Pro & Farm | 850,833$ | 850,833$ | 85,083$ | 85,083$ | No | 850,833$ | 850,833$ | 850,833$ | Lien | ||||||
| Spencer Martin | Seattle (SEA) | G | 26 | 1995-06-08 | No | 191 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 75,000$ | No | 750,000$ | Lien | ||||||||
| Ty Dellandrea | Seattle (SEA) | C/RW | 21 | 2000-07-20 | Yes | 190 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 863,333$ | 863,333$ | 86,333$ | 86,333$ | No | 863,333$ | 863,333$ | Lien | |||||||
| William Carrier | Seattle (SEA) | LW | 26 | 1994-12-20 | No | 218 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 1,100,000$ | 1,100,000$ | 110,000$ | 110,000$ | No | 1,100,000$ | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 19 | 24.00 | 196 Lbs | 6 ft2 | 2.16 | 953,891$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 0 | 0 | 0 | 0 | |||
| 2 | 0 | 0 | 0 | 0 | |||
| 3 | 0 | 0 | 0 | 0 | |||
| 4 | 0 | 0 | 0 | 0 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 0 | 0 | 0 | 0 | |||
| 2 | 0 | 0 | 0 | 0 | |||
| 3 | 0 | 0 | 0 | 0 | |||
| 4 | 0 | 0 | 0 | 0 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 0 | 0 | 0 | 0 | |||
| 2 | 0 | 0 | 0 | 0 | |||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 0 | 0 | 0 | 0 | |||
| 2 | 0 | 0 | 0 | 0 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 0 | 0 | 0 | 0 | ||
| 2 | 0 | 0 | 0 | 0 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 0 | 0 | 0 | 0 | ||
| 2 | 0 | 0 | 0 | 0 | ||
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
| 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 0 | 0 | 0 | 0 | ||
| 2 | 0 | 0 | 0 | 0 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 0 | 0 | 0 | 0 | ||
| 2 | 0 | 0 | 0 | 0 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Tirs de pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #2 : |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 6 - 2022-10-12 | 9 | Seattle | - | Admirals | - | |||||
| 7 - 2022-10-13 | 20 | Seattle | - | Monarchs | - | |||||
| 9 - 2022-10-15 | 36 | Las Vegas | - | Seattle | - | |||||
| 11 - 2022-10-17 | 47 | Caroline | - | Seattle | - | |||||
| 13 - 2022-10-19 | 58 | Chiefs | - | Seattle | - | |||||
| 15 - 2022-10-21 | 73 | Seattle | - | Monsters | - | |||||
| 17 - 2022-10-23 | 87 | Seattle | - | Baby Hawks | - | |||||
| 19 - 2022-10-25 | 105 | Crunch | - | Seattle | - | |||||
| 21 - 2022-10-27 | 118 | Comets | - | Seattle | - | |||||
| 23 - 2022-10-29 | 137 | Manchots | - | Seattle | - | |||||
| 26 - 2022-11-01 | 155 | Seattle | - | Heat | - | |||||
| 28 - 2022-11-03 | 167 | Seattle | - | Minnesota | - | |||||
| 30 - 2022-11-05 | 184 | Seattle | - | Manchots | - | |||||
| 33 - 2022-11-08 | 205 | Chill | - | Seattle | - | |||||
| 36 - 2022-11-11 | 224 | Minnesota | - | Seattle | - | |||||
| 38 - 2022-11-13 | 243 | Oceanics | - | Seattle | - | |||||
| 42 - 2022-11-17 | 271 | Wolf Pack | - | Seattle | - | |||||
| 44 - 2022-11-19 | 286 | Monarchs | - | Seattle | - | |||||
| 48 - 2022-11-23 | 316 | Sharks | - | Seattle | - | |||||
| 50 - 2022-11-25 | 329 | Seattle | - | Las Vegas | - | |||||
| 52 - 2022-11-27 | 343 | Seattle | - | Admirals | - | |||||
| 54 - 2022-11-29 | 360 | Seattle | - | Monarchs | - | |||||
| 56 - 2022-12-01 | 374 | Bears | - | Seattle | - | |||||
| 58 - 2022-12-03 | 389 | Cabaret Lady Mary Ann | - | Seattle | - | |||||
| 61 - 2022-12-06 | 411 | Rocket | - | Seattle | - | |||||
| 64 - 2022-12-09 | 427 | Seattle | - | Bears | - | |||||
| 66 - 2022-12-11 | 444 | Seattle | - | Cabaret Lady Mary Ann | - | |||||
| 68 - 2022-12-13 | 459 | Seattle | - | Thunder | - | |||||
| 70 - 2022-12-15 | 475 | Seattle | - | Caroline | - | |||||
| 73 - 2022-12-18 | 500 | Oceanics | - | Seattle | - | |||||
| 75 - 2022-12-20 | 515 | Chiefs | - | Seattle | - | |||||
| 77 - 2022-12-22 | 530 | Seattle | - | Comets | - | |||||
| 83 - 2022-12-28 | 561 | Heat | - | Seattle | - | |||||
| 85 - 2022-12-30 | 577 | Oil Kings | - | Seattle | - | |||||
| 87 - 2023-01-01 | 594 | Sound Tigers | - | Seattle | - | |||||
| 89 - 2023-01-03 | 606 | Seattle | - | Oil Kings | - | |||||
| 91 - 2023-01-05 | 615 | Seattle | - | Marlies | - | |||||
| 93 - 2023-01-07 | 632 | Seattle | - | Senators | - | |||||
| 95 - 2023-01-09 | 646 | Seattle | - | Rocket | - | |||||
| 96 - 2023-01-10 | 651 | Seattle | - | Crunch | - | |||||
| 98 - 2023-01-12 | 665 | Seattle | - | Bruins | - | |||||
| 100 - 2023-01-14 | 687 | Seattle | - | Baby Hawks | - | |||||
| 102 - 2023-01-16 | 698 | Thunder | - | Seattle | - | |||||
| 103 - 2023-01-17 | 711 | Seattle | - | Oil Kings | - | |||||
| 105 - 2023-01-19 | 728 | Spiders | - | Seattle | - | |||||
| 107 - 2023-01-21 | 743 | Monsters | - | Seattle | - | |||||
| 111 - 2023-01-25 | 770 | Comets | - | Seattle | - | |||||
| 113 - 2023-01-27 | 786 | Heat | - | Seattle | - | |||||
| 114 - 2023-01-28 | 797 | Monsters | - | Seattle | - | |||||
| 124 - 2023-02-07 | 816 | Seattle | - | Sound Tigers | - | |||||
| 126 - 2023-02-09 | 824 | Seattle | - | Spiders | - | |||||
| 127 - 2023-02-10 | 828 | Seattle | - | Wolf Pack | - | |||||
| 129 - 2023-02-12 | 848 | Seattle | - | Phantoms | - | |||||
| 131 - 2023-02-14 | 860 | Seattle | - | Oceanics | - | |||||
| 133 - 2023-02-16 | 876 | Phantoms | - | Seattle | - | |||||
| 135 - 2023-02-18 | 894 | Cougars | - | Seattle | - | |||||
| 137 - 2023-02-20 | 904 | Seattle | - | Sharks | - | |||||
| 140 - 2023-02-23 | 927 | Bruins | - | Seattle | - | |||||
| 143 - 2023-02-26 | 952 | Marlies | - | Seattle | - | |||||
| 145 - 2023-02-28 | 964 | Seattle | - | Chiefs | - | |||||
| 147 - 2023-03-02 | 978 | Seattle | - | Cougars | - | |||||
| 148 - 2023-03-03 | 984 | Seattle | - | Monsters | - | |||||
| 150 - 2023-03-05 | 1005 | Seattle | - | Monsters | - | |||||
| 152 - 2023-03-07 | 1021 | Admirals | - | Seattle | - | |||||
| 154 - 2023-03-09 | 1035 | Senators | - | Seattle | - | |||||
| 156 - 2023-03-11 | 1049 | Stars | - | Seattle | - | |||||
| 158 - 2023-03-13 | 1063 | Stars | - | Seattle | - | |||||
| 161 - 2023-03-16 | 1090 | Seattle | - | Sharks | - | |||||
| 163 - 2023-03-18 | 1098 | Oil Kings | - | Seattle | - | |||||
| Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
| 166 - 2023-03-21 | 1130 | Seattle | - | Stars | - | |||||
| 168 - 2023-03-23 | 1142 | Seattle | - | Chill | - | |||||
| 170 - 2023-03-25 | 1152 | Seattle | - | Chill | - | |||||
| 172 - 2023-03-27 | 1173 | Seattle | - | Minnesota | - | |||||
| 175 - 2023-03-30 | 1198 | Admirals | - | Seattle | - | |||||
| 177 - 2023-04-01 | 1213 | Monarchs | - | Seattle | - | |||||
| 179 - 2023-04-03 | 1228 | Jayhawks | - | Seattle | - | |||||
| 180 - 2023-04-04 | 1238 | Seattle | - | Comets | - | |||||
| 182 - 2023-04-06 | 1253 | Jayhawks | - | Seattle | - | |||||
| 184 - 2023-04-08 | 1271 | Baby Hawks | - | Seattle | - | |||||
| 186 - 2023-04-10 | 1283 | Seattle | - | Jayhawks | - | |||||
| 187 - 2023-04-11 | 1293 | Seattle | - | Las Vegas | - | |||||
| 189 - 2023-04-13 | 1312 | Las Vegas | - | Seattle | - | |||||
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 4000 | 2000 |
| Prix des billets | 35 | 15 |
| 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$ | 6000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 1,812,392$ | 1,812,392$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 9,539$ | 0$ | 19 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 190 | 9,539$ | 1,812,410$ |
| # | 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 |
|---|
