San Diego Gulls | |
GP: 25 | W: 2 | L: 21 | OTL: 2 | P: 6 GF: 43 | GA: 112 | PP%: 5.00% | PK%: 79.55% DG: Patrick Resche | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #405 vs Hershey Bears |
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Priority | Type | Description |
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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 | Pierre-Edouard Bellemare | X | X | X | 100.00 | 67 | 40 | 89 | 66 | 72 | 77 | 81 | 63 | 83 | 60 | 58 | 86 | 61 | 83 | 79 | 17 | 50 | 0 | 0 | 39 | 1 | 1,765,000$ | ||
2 | Chase De Leo | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 28 | 3 | 775,000$ | ||||
3 | Mark Jankowski | X | 100.00 | 76 | 42 | 81 | 67 | 89 | 82 | 85 | 65 | 84 | 68 | 66 | 79 | 64 | 72 | 73 | 66 | 50 | 0 | 0 | 30 | 3 | 750,000$ | ||||
4 | Ryan Lomberg | X | 100.00 | 79 | 77 | 70 | 68 | 66 | 76 | 89 | 63 | 58 | 55 | 61 | 62 | 66 | 71 | 72 | 35 | 50 | 0 | 0 | 30 | 1 | 700,000$ | ||||
5 | Colin White | X | X | 100.00 | 69 | 38 | 93 | 64 | 76 | 78 | 82 | 62 | 74 | 59 | 60 | 63 | 65 | 69 | 70 | 71 | 50 | 0 | 0 | 27 | 3 | 1,200,000$ | |||
6 | Paul Cotter (R) | X | 100.00 | 87 | 40 | 87 | 67 | 83 | 81 | 85 | 66 | 64 | 65 | 67 | 62 | 66 | 65 | 68 | 57 | 50 | 0 | 0 | 24 | 2 | 775,000$ | ||||
7 | Fredrik Claesson | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 34 | 1 | 985,000$ | ||||
8 | Jake Bean | X | 100.00 | 63 | 35 | 86 | 67 | 76 | 87 | 76 | 66 | 30 | 71 | 60 | 74 | 53 | 66 | 68 | 81 | 50 | 0 | 0 | 26 | 1 | 1,900,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 65 | 43 | 73 | 60 | 67 | 80 | 85 | 58 | 54 | 57 | 57 | 63 | 54 | 60 | 60 | 44 | 50 | 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 |
# | 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 | Troy Grosenick | 100.00 | 65 | 95 | 70 | 74 | 66 | 59 | 60 | 60 | 60 | 51 | 71 | 75 | 89 | 25 | 50 | 0 | 0 | 35 | 1 | 925,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 65 | 95 | 70 | 74 | 66 | 59 | 60 | 60 | 60 | 51 | 71 | 75 | 89 | 25 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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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 | 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 |
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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 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 |
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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 | Nom de l’équipe | POS | Âge | Date de naissance | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
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Chase De Leo | San Diego Gulls (ANA) | C | 28 | 1995-10-25 | USA | No | 186 Lbs | 5 ft9 | No | No | N/A | No | No | 3 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 543,299$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |
Colin White | San Diego Gulls (ANA) | C/RW | 27 | 1997-01-30 | USA | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,200,000$ | 841,237$ | 0$ | 0$ | No | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | - | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Fredrik Claesson | San Diego Gulls (ANA) | D | 34 | 1990-07-20 | SWE | No | 196 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 985,000$ | 690,515$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jake Bean | San Diego Gulls (ANA) | D | 26 | 1998-06-09 | CAN | No | 191 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,900,000$ | 1,331,959$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Mark Jankowski | San Diego Gulls (ANA) | C | 30 | 1994-09-13 | CAN | No | 212 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 750,000$ | 525,773$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Paul Cotter | San Diego Gulls (ANA) | C | 24 | 1999-11-16 | USA | Yes | 213 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 775,000$ | 543,299$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Pierre-Edouard Bellemare | San Diego Gulls (ANA) | C/LW/RW | 39 | 1985-03-06 | FRA | No | 198 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,765,000$ | 1,237,320$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Ryan Lomberg | San Diego Gulls (ANA) | LW | 30 | 1994-09-12 | CAN | No | 184 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 490,722$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Troy Grosenick | San Diego Gulls (ANA) | G | 35 | 1989-08-27 | USA | No | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 648,454$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
9 | 30.33 | 195 Lbs | 6 ft0 | 1.78 | 1,086,111$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
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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 |
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, , , , |
Gardien |
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#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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Coachella Valley Firebirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 10 | 1 | 12 | 219 | 200 | 215 | 6 | 45 | 11 | 6 | 14 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
2 | Grand Rapids Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 19 | 14 | 10 | 1 | 35 | 219 | 200 | 215 | 6 | 41 | 10 | 4 | 32 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
3 | Hartford Wolf Pack | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 19 | 14 | 10 | 1 | 53 | 219 | 200 | 215 | 6 | 41 | 14 | 2 | 21 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
4 | Henderson Silver Knights | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | -22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | -16 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 10 | 1 | 39 | 219 | 200 | 215 | 6 | 142 | 43 | 12 | 37 | 9 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
5 | LeHigh Valley Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 19 | 14 | 10 | 1 | 59 | 219 | 200 | 215 | 6 | 78 | 19 | 8 | 68 | 0 | 0 | 0% | 3 | 0 | 100.00% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
6 | Manitoba Moose | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 19 | 14 | 10 | 1 | 33 | 219 | 200 | 215 | 6 | 35 | 11 | 2 | 36 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
7 | Milwaukee Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 19 | 14 | 10 | 1 | 40 | 219 | 200 | 215 | 6 | 27 | 6 | 2 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
8 | Ontario Reign | 5 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 7 | 21 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 6 | 14 | -8 | 1 | 0.100 | 7 | 12 | 19 | 0 | 0 | 19 | 14 | 10 | 1 | 113 | 219 | 200 | 215 | 6 | 220 | 57 | 25 | 104 | 11 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
9 | San Jose Barracuda | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 14 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 19 | 14 | 10 | 1 | 53 | 219 | 200 | 215 | 6 | 107 | 34 | 14 | 40 | 7 | 1 | 14.29% | 7 | 3 | 57.14% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
10 | Springfield Thunderbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 19 | 14 | 10 | 1 | 19 | 219 | 200 | 215 | 6 | 27 | 6 | 6 | 11 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
11 | Syracuse Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 19 | 14 | 10 | 1 | 15 | 219 | 200 | 215 | 6 | 35 | 12 | 2 | 10 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
12 | Tucson Roadrunners | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 12 | 14 | -2 | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 12 | 14 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.375 | 12 | 24 | 36 | 0 | 0 | 19 | 14 | 10 | 1 | 166 | 219 | 200 | 215 | 6 | 173 | 46 | 16 | 104 | 3 | 1 | 33.33% | 7 | 0 | 100.00% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
Total | 25 | 2 | 21 | 0 | 0 | 1 | 0 | 1 | 43 | 112 | -69 | 12 | 2 | 9 | 0 | 0 | 0 | 0 | 1 | 27 | 48 | -21 | 13 | 0 | 12 | 0 | 0 | 1 | 0 | 0 | 16 | 64 | -48 | 6 | 0.120 | 43 | 84 | 127 | 0 | 0 | 19 | 14 | 10 | 1 | 637 | 219 | 200 | 215 | 6 | 971 | 269 | 99 | 499 | 40 | 2 | 5.00% | 44 | 9 | 79.55% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 | |
_Since Last GM Reset | 25 | 2 | 21 | 0 | 0 | 1 | 0 | 1 | 43 | 112 | -69 | 12 | 2 | 9 | 0 | 0 | 0 | 0 | 1 | 27 | 48 | -21 | 13 | 0 | 12 | 0 | 0 | 1 | 0 | 0 | 16 | 64 | -48 | 6 | 0.120 | 43 | 84 | 127 | 0 | 0 | 19 | 14 | 10 | 1 | 637 | 219 | 200 | 215 | 6 | 971 | 269 | 99 | 499 | 40 | 2 | 5.00% | 44 | 9 | 79.55% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 | |
_Vs Conference | 20 | 1 | 17 | 0 | 0 | 1 | 0 | 1 | 29 | 94 | -65 | 10 | 1 | 8 | 0 | 0 | 0 | 0 | 1 | 18 | 41 | -23 | 10 | 0 | 9 | 0 | 0 | 1 | 0 | 0 | 11 | 53 | -42 | 4 | 0.100 | 29 | 56 | 85 | 0 | 0 | 19 | 14 | 10 | 1 | 477 | 219 | 200 | 215 | 6 | 782 | 213 | 85 | 364 | 36 | 2 | 5.56% | 38 | 9 | 76.32% | 0 | 239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% | 403 | 282 | 837 | 165 | 264 | 110 |
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 |
25 | 6 | L2 | 43 | 84 | 127 | 637 | 971 | 269 | 99 | 499 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
25 | 2 | 21 | 0 | 1 | 0 | 1 | 43 | 112 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 2 | 9 | 0 | 0 | 0 | 1 | 27 | 48 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
13 | 0 | 12 | 0 | 1 | 0 | 0 | 16 | 64 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 9 | 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 |
---|---|---|---|---|---|---|
40 | 2 | 5.00% | 44 | 9 | 79.55% | 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 |
---|---|---|---|---|---|---|---|
219 | 200 | 215 | 6 | 19 | 14 | 10 | 1 |
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 |
239 | 519 | 46.05% | 274 | 666 | 41.14% | 152 | 378 | 40.21% |
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 |
403 | 282 | 837 | 165 | 264 | 110 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 100 | 90 |
Assistance | 6,859 | 1,821 |
Assistance PCT | 28.58% | 15.18% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
24 | 723 - 24.11% | 83,563$ | 1,002,753$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
308,822$ | 977,500$ | 652,702$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
5,039$ | 308,822$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
2,005,506$ | 136 | 5,039$ | 685,304$ |
# | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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