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| Phantoms | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Richard Duguay | Morale : 50 | Moyenne d’équipe : 57 Prochains matchs #12 vs Spiders |
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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 | Morgan Barron | X | X | X | 100.00 | 83 | 46 | 90 | 72 | 83 | 56 | 67 | 57 | 61 | 58 | 56 | 65 | 75 | 46 | 46 | 0 | 50 | 60 | 0 | 22 | 2 | 925,000$ | ||
| 2 | Alexander Nylander | X | X | 100.00 | 78 | 71 | 94 | 73 | 71 | 56 | 55 | 62 | 50 | 56 | 63 | 66 | 60 | 44 | 44 | 0 | 50 | 59 | 0 | 23 | 1 | 1,000,000$ | |||
| 3 | Tommy Novak | X | 100.00 | 57 | 40 | 97 | 67 | 66 | 61 | 57 | 74 | 61 | 67 | 56 | 65 | 25 | 46 | 46 | 0 | 50 | 59 | 0 | 24 | 3 | 650,000$ | ||||
| 4 | Antti Suomela | X | 100.00 | 75 | 67 | 92 | 74 | 67 | 56 | 56 | 59 | 74 | 53 | 60 | 64 | 57 | 48 | 48 | 0 | 50 | 58 | 0 | 27 | 1 | 700,000$ | ||||
| 5 | Sam Poulin (R) | X | X | 100.00 | 79 | 78 | 80 | 67 | 78 | 57 | 57 | 59 | 50 | 56 | 58 | 65 | 55 | 44 | 44 | 0 | 50 | 58 | 0 | 20 | 4 | 863,333$ | |||
| 6 | Trey Fix-Wolansky | X | 100.00 | 65 | 63 | 70 | 68 | 63 | 61 | 61 | 62 | 50 | 58 | 63 | 59 | 60 | 44 | 44 | 0 | 50 | 57 | 0 | 22 | 3 | 809,166$ | ||||
| 7 | Austin Poganski | X | 100.00 | 79 | 87 | 86 | 65 | 77 | 54 | 62 | 60 | 25 | 50 | 55 | 65 | 25 | 46 | 46 | 0 | 50 | 56 | 0 | 25 | 2 | 750,000$ | ||||
| 8 | Logan Hutsko | X | X | 100.00 | 69 | 62 | 85 | 63 | 62 | 57 | 57 | 58 | 73 | 59 | 53 | 60 | 50 | 44 | 44 | 0 | 50 | 56 | 0 | 22 | 3 | 867,000$ | |||
| 9 | Dillon Hamaliuk (R) | X | 100.00 | 77 | 77 | 76 | 64 | 77 | 48 | 48 | 49 | 50 | 47 | 46 | 62 | 44 | 44 | 44 | 0 | 50 | 52 | 0 | 20 | 4 | 789,167$ | ||||
| 10 | Ben Harpur | X | 100.00 | 84 | 99 | 62 | 65 | 91 | 63 | 58 | 55 | 25 | 44 | 47 | 78 | 25 | 62 | 63 | 0 | 50 | 64 | 0 | 26 | 2 | 750,000$ | ||||
| 11 | Juuso Valimaki | X | 100.00 | 73 | 44 | 70 | 75 | 78 | 69 | 72 | 58 | 25 | 56 | 47 | 77 | 25 | 50 | 50 | 0 | 50 | 64 | 0 | 22 | 1 | 925,000$ | ||||
| 12 | Gavin Bayreuther | X | 100.00 | 77 | 75 | 85 | 73 | 74 | 62 | 62 | 60 | 25 | 54 | 47 | 73 | 53 | 53 | 53 | 0 | 50 | 62 | 0 | 27 | 1 | 650,000$ | ||||
| 13 | Matt Bartkowski | X | 100.00 | 78 | 74 | 87 | 63 | 74 | 61 | 65 | 49 | 25 | 37 | 41 | 67 | 39 | 64 | 65 | 0 | 50 | 59 | 0 | 33 | 1 | 655,000$ | ||||
| 14 | Chris Bigras (C) | X | 100.00 | 76 | 71 | 86 | 63 | 71 | 52 | 53 | 51 | 25 | 39 | 46 | 65 | 44 | 57 | 57 | 0 | 50 | 57 | 0 | 26 | 4 | 560,000$ | ||||
| 15 | Mac Hollowell | X | 100.00 | 65 | 61 | 73 | 67 | 61 | 55 | 56 | 55 | 25 | 52 | 43 | 57 | 41 | 44 | 44 | 0 | 50 | 54 | 0 | 23 | 3 | 799,766$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Sebastian AhoD | X | 100.00 | 73 | 43 | 90 | 71 | 66 | 70 | 51 | 61 | 25 | 62 | 48 | 67 | 25 | 47 | 47 | 0 | 50 | 60 | 0 | 25 | 0 | 0$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 74 | 66 | 83 | 68 | 72 | 59 | 59 | 58 | 42 | 53 | 52 | 66 | 44 | 49 | 49 | 0 | 50 | 58 | ||||||||||
| 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 | Felix Sandstrom (R) | 100.00 | 50 | 45 | 56 | 75 | 52 | 52 | 51 | 56 | 54 | 53 | 30 | 44 | 44 | 0 | 50 | 53 | 0 | 24 | 4 | 600,000$ | |
| 2 | Hunter Jones (R) | 100.00 | 46 | 49 | 61 | 81 | 45 | 46 | 45 | 50 | 45 | 45 | 45 | 44 | 44 | 0 | 50 | 50 | 0 | 21 | 2 | 825,833$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Arvid Holm (R) | 100.00 | 44 | 40 | 50 | 86 | 43 | 44 | 51 | 52 | 48 | 49 | 30 | 44 | 44 | 0 | 50 | 50 | 0 | 22 | 2 | 845,833$ | |
| 2 | Beck Warm (R) | 100.00 | 45 | 45 | 56 | 66 | 45 | 45 | 45 | 50 | 45 | 45 | 45 | 44 | 44 | 0 | 50 | 48 | 0 | 22 | 3 | 650,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 46 | 45 | 56 | 77 | 46 | 47 | 48 | 52 | 48 | 48 | 38 | 44 | 44 | 0 | 50 | 50 | ||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexander Nylander | Phantoms (Phi) | LW/RW | 23 | 1998-03-02 | No | 192 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 100,000$ | 100,000$ | No | Lien | |||||||||
| Antti Suomela | Phantoms (Phi) | C | 27 | 1994-03-17 | No | 180 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | Lien | |||||||||
| Arvid Holm | Phantoms (Phi) | G | 22 | 1998-11-03 | Yes | 205 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 845,833$ | 845,833$ | 84,583$ | 84,583$ | No | 845,833$ | Lien | ||||||||
| Austin Poganski | Phantoms (Phi) | RW | 25 | 1996-02-16 | No | 201 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 75,000$ | No | 750,000$ | Lien | ||||||||
| Beck Warm | Phantoms (Phi) | G | 22 | 1999-04-21 | Yes | 181 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 650,000$ | 650,000$ | 65,000$ | 65,000$ | No | 650,000$ | 650,000$ | Lien | |||||||
| Ben Harpur | Phantoms (Phi) | D | 26 | 1995-01-11 | No | 231 Lbs | 6 ft6 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 75,000$ | No | 750,000$ | Lien | ||||||||
| Chris Bigras | Phantoms (Phi) | D | 26 | 1995-02-22 | No | 191 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 560,000$ | 560,000$ | 56,000$ | 56,000$ | No | 560,000$ | 560,000$ | 560,000$ | Lien | ||||||
| Dillon Hamaliuk | Phantoms (Phi) | LW | 20 | 2000-10-30 | Yes | 201 Lbs | 6 ft4 | No | No | No | 4 | Pro & Farm | 789,167$ | 789,167$ | 78,917$ | 78,917$ | No | 789,167$ | 789,167$ | 789,167$ | Lien | ||||||
| Felix Sandstrom | Phantoms (Phi) | G | 24 | 1997-01-12 | Yes | 191 Lbs | 6 ft2 | No | No | No | 4 | Pro & Farm | 600,000$ | 600,000$ | 60,000$ | 60,000$ | No | 600,000$ | 600,000$ | 600,000$ | Lien | ||||||
| Gavin Bayreuther | Phantoms (Phi) | D | 27 | 1994-05-12 | No | 195 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 65,000$ | 65,000$ | No | Lien | |||||||||
| Hunter Jones | Phantoms (Phi) | G | 21 | 2000-09-21 | Yes | 194 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 825,833$ | 825,833$ | 82,583$ | 82,583$ | No | 825,833$ | Lien | ||||||||
| Juuso Valimaki | Phantoms (Phi) | D | 22 | 1998-10-06 | No | 212 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | Lien | |||||||||
| Logan Hutsko | Phantoms (Phi) | C/RW | 22 | 1999-02-11 | No | 172 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 867,000$ | 867,000$ | 86,700$ | 86,700$ | No | 867,000$ | 867,000$ | Lien | |||||||
| Mac Hollowell | Phantoms (Phi) | D | 23 | 1998-09-26 | No | 172 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 799,766$ | 799,766$ | 79,977$ | 79,977$ | No | 799,766$ | 799,766$ | Lien | |||||||
| Matt Bartkowski | Phantoms (Phi) | D | 33 | 1988-06-04 | No | 201 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 575,000$ | 655,000$ | 65,500$ | 65,500$ | No | Lien | |||||||||
| Morgan Barron | Phantoms (Phi) | C/LW/RW | 22 | 1998-12-02 | No | 220 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | 925,000$ | Lien | ||||||||
| Sam Poulin | Phantoms (Phi) | LW/RW | 20 | 2001-02-25 | Yes | 214 Lbs | 6 ft2 | No | No | No | 4 | Pro & Farm | 863,333$ | 863,333$ | 86,333$ | 86,333$ | No | 863,333$ | 863,333$ | 863,333$ | Lien | ||||||
| Sebastian AhoD | Phantoms (Phi) | D | 25 | 1996-02-17 | No | 183 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Tommy Novak | Phantoms (Phi) | C | 24 | 1997-04-28 | No | 179 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 650,000$ | 650,000$ | 65,000$ | 65,000$ | No | 650,000$ | 650,000$ | Lien | |||||||
| Trey Fix-Wolansky | Phantoms (Phi) | RW | 22 | 1999-05-26 | No | 187 Lbs | 5 ft7 | No | No | No | 3 | Pro & Farm | 809,166$ | 809,166$ | 80,917$ | 80,917$ | No | 809,166$ | 809,166$ | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 20 | 23.80 | 195 Lbs | 6 ft1 | 2.30 | 726,755$ |
| 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 | Antti Suomela | Austin Poganski | 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 | Mac Hollowell | Chris Bigras | 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 | Mac Hollowell | Chris Bigras | 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 | Mac Hollowell | Chris Bigras | 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 | Mac Hollowell | Chris Bigras | 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 | Mac Hollowell | Chris Bigras | 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 |
| , Logan Hutsko, | , Logan Hutsko | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , Mac Hollowell, Chris Bigras | Mac Hollowell, Chris Bigras | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 7 - 2022-10-13 | 12 | Spiders | - | Phantoms | - | |||||
| 9 - 2022-10-15 | 26 | Comets | - | Phantoms | - | |||||
| 12 - 2022-10-18 | 53 | Phantoms | - | Thunder | - | |||||
| 13 - 2022-10-19 | 56 | Phantoms | - | Cabaret Lady Mary Ann | - | |||||
| 16 - 2022-10-22 | 83 | Phantoms | - | Chill | - | |||||
| 17 - 2022-10-23 | 91 | Sharks | - | Phantoms | - | |||||
| 21 - 2022-10-27 | 112 | Cabaret Lady Mary Ann | - | Phantoms | - | |||||
| 23 - 2022-10-29 | 132 | Caroline | - | Phantoms | - | |||||
| 26 - 2022-11-01 | 149 | Phantoms | - | Wolf Pack | - | |||||
| 27 - 2022-11-02 | 159 | Phantoms | - | Marlies | - | |||||
| 30 - 2022-11-05 | 183 | Phantoms | - | Senators | - | |||||
| 33 - 2022-11-08 | 199 | Chiefs | - | Phantoms | - | |||||
| 35 - 2022-11-10 | 214 | Phantoms | - | Monsters | - | |||||
| 37 - 2022-11-12 | 225 | Senators | - | Phantoms | - | |||||
| 38 - 2022-11-13 | 238 | Stars | - | Phantoms | - | |||||
| 40 - 2022-11-15 | 250 | Phantoms | - | Monsters | - | |||||
| 42 - 2022-11-17 | 265 | Phantoms | - | Bruins | - | |||||
| 44 - 2022-11-19 | 281 | Phantoms | - | Rocket | - | |||||
| 46 - 2022-11-21 | 292 | Heat | - | Phantoms | - | |||||
| 48 - 2022-11-23 | 312 | Phantoms | - | Bears | - | |||||
| 50 - 2022-11-25 | 324 | Manchots | - | Phantoms | - | |||||
| 51 - 2022-11-26 | 337 | Phantoms | - | Sound Tigers | - | |||||
| 54 - 2022-11-29 | 353 | Sound Tigers | - | Phantoms | - | |||||
| 56 - 2022-12-01 | 367 | Thunder | - | Phantoms | - | |||||
| 58 - 2022-12-03 | 382 | Spiders | - | Phantoms | - | |||||
| 60 - 2022-12-05 | 397 | Monsters | - | Phantoms | - | |||||
| 62 - 2022-12-07 | 413 | Bears | - | Phantoms | - | |||||
| 64 - 2022-12-09 | 432 | Phantoms | - | Las Vegas | - | |||||
| 66 - 2022-12-11 | 445 | Phantoms | - | Jayhawks | - | |||||
| 68 - 2022-12-13 | 464 | Phantoms | - | Monsters | - | |||||
| 70 - 2022-12-15 | 473 | Phantoms | - | Spiders | - | |||||
| 72 - 2022-12-17 | 489 | Wolf Pack | - | Phantoms | - | |||||
| 75 - 2022-12-20 | 510 | Monsters | - | Phantoms | - | |||||
| 77 - 2022-12-22 | 525 | Phantoms | - | Marlies | - | |||||
| 78 - 2022-12-23 | 535 | Phantoms | - | Caroline | - | |||||
| 84 - 2022-12-29 | 573 | Phantoms | - | Sharks | - | |||||
| 86 - 2022-12-31 | 580 | Phantoms | - | Monarchs | - | |||||
| 88 - 2023-01-02 | 597 | Phantoms | - | Admirals | - | |||||
| 91 - 2023-01-05 | 612 | Jayhawks | - | Phantoms | - | |||||
| 94 - 2023-01-08 | 643 | Marlies | - | Phantoms | - | |||||
| 97 - 2023-01-11 | 659 | Bears | - | Phantoms | - | |||||
| 100 - 2023-01-14 | 681 | Phantoms | - | Bears | - | |||||
| 102 - 2023-01-16 | 695 | Phantoms | - | Bruins | - | |||||
| 103 - 2023-01-17 | 705 | Admirals | - | Phantoms | - | |||||
| 105 - 2023-01-19 | 719 | Baby Hawks | - | Phantoms | - | |||||
| 107 - 2023-01-21 | 735 | Phantoms | - | Cougars | - | |||||
| 108 - 2023-01-22 | 749 | Oceanics | - | Phantoms | - | |||||
| 110 - 2023-01-24 | 757 | Monarchs | - | Phantoms | - | |||||
| 112 - 2023-01-26 | 779 | Phantoms | - | Minnesota | - | |||||
| 114 - 2023-01-28 | 790 | Phantoms | - | Oceanics | - | |||||
| 123 - 2023-02-06 | 807 | Sound Tigers | - | Phantoms | - | |||||
| 126 - 2023-02-09 | 822 | Oil Kings | - | Phantoms | - | |||||
| 128 - 2023-02-11 | 836 | Chill | - | Phantoms | - | |||||
| 129 - 2023-02-12 | 848 | Seattle | - | Phantoms | - | |||||
| 133 - 2023-02-16 | 876 | Phantoms | - | Seattle | - | |||||
| 135 - 2023-02-18 | 890 | Phantoms | - | Comets | - | |||||
| 137 - 2023-02-20 | 905 | Phantoms | - | Heat | - | |||||
| 138 - 2023-02-21 | 916 | Phantoms | - | Oil Kings | - | |||||
| 141 - 2023-02-24 | 932 | Rocket | - | Phantoms | - | |||||
| 142 - 2023-02-25 | 941 | Phantoms | - | Spiders | - | |||||
| 146 - 2023-03-01 | 968 | Wolf Pack | - | Phantoms | - | |||||
| 149 - 2023-03-04 | 990 | Phantoms | - | Crunch | - | |||||
| 150 - 2023-03-05 | 1003 | Cougars | - | Phantoms | - | |||||
| 152 - 2023-03-07 | 1014 | Phantoms | - | Thunder | - | |||||
| 154 - 2023-03-09 | 1030 | Phantoms | - | Caroline | - | |||||
| 156 - 2023-03-11 | 1039 | Phantoms | - | Manchots | - | |||||
| 159 - 2023-03-14 | 1066 | Las Vegas | - | Phantoms | - | |||||
| 162 - 2023-03-17 | 1091 | Crunch | - | Phantoms | - | |||||
| 163 - 2023-03-18 | 1099 | Caroline | - | Phantoms | - | |||||
| Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
| 166 - 2023-03-21 | 1122 | Cabaret Lady Mary Ann | - | Phantoms | - | |||||
| 168 - 2023-03-23 | 1136 | Minnesota | - | Phantoms | - | |||||
| 170 - 2023-03-25 | 1150 | Cougars | - | Phantoms | - | |||||
| 173 - 2023-03-28 | 1177 | Rocket | - | Phantoms | - | |||||
| 175 - 2023-03-30 | 1193 | Phantoms | - | Senators | - | |||||
| 177 - 2023-04-01 | 1206 | Crunch | - | Phantoms | - | |||||
| 178 - 2023-04-02 | 1221 | Phantoms | - | Manchots | - | |||||
| 180 - 2023-04-04 | 1234 | Phantoms | - | Chiefs | - | |||||
| 182 - 2023-04-06 | 1252 | Phantoms | - | Stars | - | |||||
| 184 - 2023-04-08 | 1268 | Phantoms | - | Sound Tigers | - | |||||
| 185 - 2023-04-09 | 1273 | Bruins | - | Phantoms | - | |||||
| 187 - 2023-04-11 | 1287 | Monsters | - | Phantoms | - | |||||
| 189 - 2023-04-13 | 1306 | Phantoms | - | Baby Hawks | - | |||||
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| 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$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 1,453,510$ | 1,461,510$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 7,692$ | 0$ | 19 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 190 | 7,650$ | 1,453,500$ |
| # | 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 |
|---|
