Connexion

Eagles
GP: 11 | W: 9 | L: 1 | OTL: 1 | P: 19
GF: 50 | GA: 31 | PP%: 26.23% | PK%: 82.86%
DG: Alexandre Beauchesne | Morale : 50 | Moyenne d’équipe : 68
Prochain matchs #160 vs Thunderbirds
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Centre de jeu
Eagles
9-1-1, 19pts
2
FINAL
3 Thunderbirds
7-2-1, 15pts
Team Stats
W1StreakW2
3-1-0Home Record3-1-1
6-0-1Away Record4-1-0
8-1-1Last 10 Games7-2-1
4.55Buts par match 4.10
2.82Buts contre par match 3.20
26.23%Pourcentage en avantage numérique20.00%
82.86%Pourcentage en désavantage numérique96.67%
Eagles
9-1-1, 19pts
3
FINAL
2 Iowa Wild
7-3-0, 14pts
Team Stats
W1StreakL1
3-1-0Home Record2-3-0
6-0-1Away Record5-0-0
8-1-1Last 10 Games7-3-0
4.55Buts par match 3.50
2.82Buts contre par match 2.50
26.23%Pourcentage en avantage numérique23.40%
82.86%Pourcentage en désavantage numérique97.06%
Thunderbirds
7-2-1, 15pts
2022-08-02
Eagles
9-1-1, 19pts
Statistiques d’équipe
W2SéquenceW1
3-1-1Fiche domicile3-1-0
4-1-0Fiche visiteur6-0-1
7-2-110 derniers matchs8-1-1
4.10Buts par match 4.55
3.20Buts contre par match 2.82
20.00%Pourcentage en avantage numérique26.23%
96.67%Pourcentage en désavantage numérique82.86%
Texas Stars
4-4-1, 9pts
2022-08-04
Eagles
9-1-1, 19pts
Statistiques d’équipe
W1SéquenceW1
2-3-0Fiche domicile3-1-0
2-1-1Fiche visiteur6-0-1
4-4-110 derniers matchs8-1-1
3.44Buts par match 4.55
3.89Buts contre par match 2.82
13.79%Pourcentage en avantage numérique26.23%
74.07%Pourcentage en désavantage numérique82.86%
Roadrunners
3-5-0, 6pts
2022-08-06
Eagles
9-1-1, 19pts
Statistiques d’équipe
L2SéquenceW1
1-4-0Fiche domicile3-1-0
2-1-0Fiche visiteur6-0-1
3-5-010 derniers matchs8-1-1
3.50Buts par match 4.55
4.13Buts contre par match 2.82
9.09%Pourcentage en avantage numérique26.23%
74.19%Pourcentage en désavantage numérique82.86%
Meneurs d'équipe
Victoires
Ryan Miller
5
Pourcentage d’arrêts
Ryan Miller
0.924

Statistiques d’équipe
Buts pour
50
4.55 GFG
Tirs pour
427
38.82 Avg
Pourcentage en avantage numérique
26.2%
16 GF
Début de zone offensive
43.9%
Buts contre
31
2.82 GAA
Tirs contre
352
32.00 Avg
Pourcentage en désavantage numérique
82.9%
6 GA
Début de la zone défensive
38.1%
Information d’équipe

Directeur généralAlexandre Beauchesne
EntraîneurJean Sébastien Beauchesne
DivisionCENTRALE
ConférenceOUEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 55
Espoirs27


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Michael Rasmussen0X100.007839756694858967816667726663650507402343,338,000$
2Stefan Noesen0X100.006936846678878564636566686470710507202911,343,000$
3Joe Veleno0X100.007638896779839566826465686762640507202211,243,750$
4Martin Frk0X100.00743986687985816762647061727071050720284971,000$
5Kurtis Gabriel0X100.00908755609573715853596065577071050700294846,000$
6Nicholas Merkley0X100.00783591626982786563686255666764050680254876,000$
7Miikka Salomaki0XXX100.00693874627376746558606364687569050680291800,000$
8Dylan McLaughlin0X100.00613694637091835668645960646769050670271750,000$
9Tanner Kero0X100.00623693627177796370645863567072050670301800,000$
10Noel Gunler0X100.00653793667683686453596356646163050670204875,000$
11Adam Brooks24X100.00593495687074736779546659686567050670262945,000$
12Lias Andersson0X100.00603582657478756372586057626465050660232923,000$
13Alex Biega0X100.00743987706876736430705868527476050710344925,000$
14Brad Hunt0X100.005833926765847864307462595374750506903441,898,000$
15Jordan Gross0X100.00623878666991846530685861526769050690272700,000$
16Cameron Gaunce0X100.00673977607672855830615559477274050660323700,000$
17Vincent LoVerde0X100.00644383567379845730555358468078050650334991,000$
18Simon Lundmark0X100.00723892558170855430555357456264050640213925,000$
Rayé
1Tim Schaller0X100.007239875881849254675859605872740506703121,219,000$
2Tyler Madden0X100.00633693646981756371625958646365050660222925,000$
3Shane Bowers0X100.006938905978847058535459565763650506502311,075,000$
4Samuel Asselin0X100.00563975596582875566605753586466050640242750,000$
5German Rubtsov0X100.006736935876677153585455575364660506302411,106,666$
6Peter DiLiberatore0X100.00584061566475775330585251456264050610222925,000$
7Jeremy Roy0X100.006454715573657053305551544567640506102541,050,000$
MOYENNE D’ÉQUIPE100.0067408462757979615461606058686805067
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Ryan Miller100.0079808674787779787779789195050821421750,000$
2Philippe Desrosiers100.00707475766968706968706967770507202741,103,000$
Rayé
1Dylan Garand100.0062757970616062616062616264050660204902,500$
MOYENNE D’ÉQUIPE100.007076807369687069687069737905073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jean Sébastien Beauchesne75757575757575Can3850$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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
1Michael RasmussenEagles (COL)C117815140393655254412.73%525022.7506610490001202054.37%35500001.2000000104
2Alex BiegaEagles (COL)D111141542002719279173.70%1426424.010441246000022000.00%000001.1400000010
3Joe VelenoEagles (COL)C1111415400204446102123.91%523421.3243715490000191052.42%35100021.2800000310
4Martin FrkEagles (COL)RW1141014300161237212510.81%024222.0723514490000290046.67%1500001.1500000200
5Jordan GrossEagles (COL)D112911-2601420268237.69%2024021.871341551000029000.00%000100.9100000020
6Stefan NoesenEagles (COL)RW11551032082142142311.90%324722.4631414500000270148.48%3300000.8100000010
7Nicholas MerkleyEagles (COL)RW112682001614265287.69%021919.94000327000001053.85%1300000.7300000100
8Kurtis GabrielEagles (COL)RW11437414044173242212.50%317716.12123921000081050.00%1400000.7900000101
9Tim SchallerEagles (COL)LW5246-1002121431514.29%29519.17123721000092053.70%10800001.2500000000
10Adam BrooksEagles (COL)C6246300052081110.00%49315.5900000000001048.39%3100001.2800000020
11Brad HuntEagles (COL)D61454009712498.33%614524.19101826000020000.00%000000.6900000000
12Vincent LoVerdeEagles (COL)D110556601179280.00%1018616.91033523000010000.00%000000.5400000000
13Cameron GaunceEagles (COL)D1114508031618475.56%924822.631231251000025000.00%000000.4000000001
14Dylan McLaughlinEagles (COL)C61345000852320.00%38013.4900000000000146.88%9600000.9900000001
15Lias AnderssonEagles (COL)C11314-100091741117.65%1817.4400000000030030.00%1000000.9800000000
16Miikka SalomakiEagles (COL)C/LW/RW63034006112041515.00%011118.66202727000000045.45%1100000.5400000010
17Simon LundmarkEagles (COL)D110339801741110.00%915714.3600000000010000.00%000000.3800000000
18Noel GunlerEagles (COL)RW1111210033194105.26%0817.4100010000001050.00%400000.4900000000
19Tanner KeroEagles (COL)C6000000000110.00%040.73000000000000100.00%100000.0000000000
20Peter DiLiberatoreEagles (COL)D5000-220421110.00%77815.740000000002000.00%000000.0000000000
21Samuel AsselinEagles (COL)C5000000000000.00%000.050000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne18850881384770026725742713429511.71%101324317.2516294513250000012389252.11%104200120.8500000887
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Ryan MillerEagles (COL)65010.9242.3236200141850000.000060100
2Philippe DesrosiersEagles (COL)54100.8983.4030000171670300.000056000
Statistiques d’équipe totales ou en moyenne119110.9122.8166200313520300.0000116100


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam BrooksEagles (COL)C261996-05-06No179 Lbs6 ft0NoNoNo2Pro & Farm945,000$945,000$600,000$0$0$No945,000$Lien
Alex BiegaEagles (COL)D341988-04-04No195 Lbs5 ft10NoNoNo4Pro & Farm925,000$925,000$525,000$0$0$No925,000$925,000$925,000$Lien
Brad HuntEagles (COL)D341988-08-24No177 Lbs5 ft9NoNoNo4Pro & Farm1,898,000$1,898,000$650,000$0$0$No1,898,000$1,898,000$1,898,000$Lien
Cameron GaunceEagles (COL)D321990-03-19No194 Lbs6 ft1NoNoNo3Pro & Farm700,000$700,000$700,000$0$0$No700,000$700,000$Lien
Dylan GarandEagles (COL)G202002-06-07No173 Lbs6 ft0NoNoNo4Pro & Farm902,500$902,500$700,000$0$0$No902,500$902,500$902,500$Lien
Dylan McLaughlinEagles (COL)C271995-06-05No187 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
German RubtsovEagles (COL)C241998-06-27No178 Lbs6 ft2NoNoNo1Pro & Farm1,106,666$1,106,666$894,166$0$0$NoLien
Jeremy RoyEagles (COL)D251997-05-14No195 Lbs6 ft0NoNoNo4Pro & Farm1,050,000$1,050,000$0$0$No1,050,000$1,050,000$1,050,000$Lien
Joe VelenoEagles (COL)C222000-01-13No206 Lbs6 ft1NoNoNo1Pro & Farm1,243,750$1,243,750$600,000$0$0$NoLien
Jordan GrossEagles (COL)D271995-05-09No190 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$600,000$0$0$No700,000$Lien
Kurtis GabrielEagles (COL)RW291993-04-20No212 Lbs6 ft6NoNoNo4Pro & Farm846,000$846,000$650,000$0$0$No846,000$846,000$846,000$Lien
Lias AnderssonEagles (COL)C231998-10-13No185 Lbs6 ft1NoNoNo2Pro & Farm923,000$923,000$0$0$No923,000$Lien
Martin FrkEagles (COL)RW281993-10-05No210 Lbs6 ft1NoNoNo4Pro & Farm971,000$971,000$863,000$0$0$No971,000$971,000$971,000$Lien
Michael RasmussenEagles (COL)C231999-04-17No210 Lbs6 ft6NoNoNo4Pro & Farm3,338,000$3,338,000$650,000$0$0$No3,380,000$3,380,000$3,380,000$Lien
Miikka SalomakiEagles (COL)C/LW/RW291993-03-09No203 Lbs5 ft11NoNoNo1Pro & Farm800,000$800,000$800,000$0$0$NoLien
Nicholas MerkleyEagles (COL)RW251997-05-23No194 Lbs5 ft10NoNoNo4Pro & Farm876,000$876,000$863,334$0$0$No876,000$876,000$876,000$Lien
Noel GunlerEagles (COL)RW202001-10-07No176 Lbs6 ft2NoNoNo4Pro & Farm875,000$875,000$700,000$0$0$No875,000$875,000$875,000$Lien
Peter DiLiberatoreEagles (COL)D222000-03-31No160 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Philippe DesrosiersEagles (COL)G271995-08-16No195 Lbs6 ft1NoNoNo4Pro & Farm1,103,000$1,103,000$650,000$0$0$No1,103,000$1,103,000$1,103,000$Lien
Ryan MillerEagles (COL)G421980-07-17No170 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Samuel AsselinEagles (COL)C241998-07-01No180 Lbs5 ft9NoNoNo2Pro & Farm750,000$750,000$750,000$0$0$No750,000$Lien
Shane BowersEagles (COL)RW231999-07-30No186 Lbs6 ft2NoNoNo1Pro & Farm1,075,000$1,075,000$925,002$0$0$NoLien
Simon LundmarkEagles (COL)D212000-10-08No201 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$700,000$0$0$No925,000$925,000$Lien
Stefan NoesenEagles (COL)RW291993-02-12No205 Lbs6 ft1NoNoNo1Pro & Farm1,343,000$1,343,000$525,000$0$0$NoLien
Tanner KeroEagles (COL)C301992-07-24No185 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$800,000$0$0$NoLien
Tim SchallerEagles (COL)LW311990-11-16No204 Lbs6 ft2NoNoNo2Pro & Farm1,219,000$1,219,000$650,000$0$0$No1,219,000$Lien
Tyler MaddenEagles (COL)C221999-11-09No152 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Vincent LoVerdeEagles (COL)D331989-04-14No205 Lbs5 ft11NoNoNo4Pro & Farm991,000$991,000$650,000$0$0$No991,000$991,000$991,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2826.86190 Lbs6 ft02.571,059,140$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Miikka SalomakiMichael RasmussenMartin Frk30122
2Nicholas MerkleyJoe VelenoStefan Noesen30122
3Adam BrooksDylan McLaughlinKurtis Gabriel24122
4Michael RasmussenAdam BrooksNicholas Merkley16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex BiegaBrad Hunt30122
2Jordan GrossCameron Gaunce30122
3Vincent LoVerdeSimon Lundmark24122
4Alex BiegaBrad Hunt16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Miikka SalomakiMichael RasmussenMartin Frk50122
2Nicholas MerkleyJoe VelenoStefan Noesen50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex BiegaBrad Hunt50122
2Jordan GrossCameron Gaunce50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael RasmussenMartin Frk50122
2Joe VelenoStefan Noesen50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex BiegaBrad Hunt50122
2Jordan GrossCameron Gaunce50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Rasmussen50122Alex BiegaBrad Hunt50122
2Martin Frk50122Jordan GrossCameron Gaunce50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael RasmussenMartin Frk50122
2Joe VelenoStefan Noesen50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex BiegaBrad Hunt50122
2Jordan GrossCameron Gaunce50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Miikka SalomakiMichael RasmussenMartin FrkAlex BiegaBrad Hunt
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Miikka SalomakiMichael RasmussenMartin FrkAlex BiegaBrad Hunt
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tanner Kero, Noel Gunler, Lias AnderssonTanner Kero, Noel GunlerLias Andersson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vincent LoVerde, Simon Lundmark, Jordan GrossVincent LoVerdeSimon Lundmark, Jordan Gross
Tirs de pénalité
Michael Rasmussen, Martin Frk, Joe Veleno, Stefan Noesen, Kurtis Gabriel
Gardien
#1 : Ryan Miller, #2 : Philippe Desrosiers
Lignes d’attaque personnalisées en prolongation
Michael Rasmussen, Martin Frk, Joe Veleno, Stefan Noesen, Kurtis Gabriel, Miikka Salomaki, Miikka Salomaki, Nicholas Merkley, Dylan McLaughlin, Adam Brooks, Tanner Kero
Lignes de défense personnalisées en prolongation
Alex Biega, Brad Hunt, Jordan Gross, Cameron Gaunce, Vincent LoVerde


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
1Admirals22000000954110000004221100000053241.00091726002314130841431411403471044215213.33%20100.00%023845652.19%20139550.89%10418755.61%2611792598314070
2IceHogs22000000963110000002111100000075241.0009162500231413074143141140379251647800.00%8275.00%023845652.19%20139550.89%10418755.61%2611792598314070
3Iowa Wild2110000056-11010000024-21100000032120.500591400231413067143141140364212042800.00%10280.00%023845652.19%20139550.89%10418755.61%2611792598314070
4Moose220000001468110000005321100000093641.0001424380023141308714314114036511145415853.33%7271.43%023845652.19%20139550.89%10418755.61%2611792598314070
5Roadrunners11000000532000000000001100000053221.00059140023141304814314114033382386466.67%10100.00%023845652.19%20139550.89%10418755.61%2611792598314070
6Texas Stars11000000624000000000001100000062421.0006111700231413036143141140332188205240.00%40100.00%023845652.19%20139550.89%10418755.61%2611792598314070
7Thunderbirds1000010023-1000000000001000010023-110.500224002314130311431411403328624400.00%30100.00%023845652.19%20139550.89%10418755.61%2611792598314070
Total119100100503119431000001310376000100372116190.8645088138002314130427143141140335210170267611626.23%35682.86%023845652.19%20139550.89%10418755.61%2611792598314070
_Since Last GM Reset119100100503119431000001310376000100372116190.8645088138002314130427143141140335210170267611626.23%35682.86%023845652.19%20139550.89%10418755.61%2611792598314070
_Vs Conference119100100503119431000001310376000100372116190.8645088138002314130427143141140335210170267611626.23%35682.86%023845652.19%20139550.89%10418755.61%2611792598314070
_Vs Division119100100503119431000001310376000100372116190.8645088138002314130427143141140335210170267611626.23%35682.86%023845652.19%20139550.89%10418755.61%2611792598314070

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1119W150881384273521017026700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
119101005031
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
43100001310
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
76001003721
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
611626.23%35682.86%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
14314114032314130
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
23845652.19%20139550.89%10418755.61%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2611792598314070


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2022-07-174Admirals2Eagles4BWSommaire du match
2 - 2022-07-1819Eagles9Moose3AWSommaire du match
4 - 2022-07-2038Eagles5Roadrunners3AWSommaire du match
6 - 2022-07-2251Eagles7IceHogs5AWSommaire du match
7 - 2022-07-2364Iowa Wild4Eagles2BLSommaire du match
9 - 2022-07-2582IceHogs1Eagles2BWSommaire du match
10 - 2022-07-2693Eagles5Admirals3AWSommaire du match
11 - 2022-07-27113Moose3Eagles5BWSommaire du match
13 - 2022-07-29130Eagles6Texas Stars2AWSommaire du match
14 - 2022-07-30136Eagles2Thunderbirds3ALXSommaire du match
15 - 2022-07-31150Eagles3Iowa Wild2AWSommaire du match
17 - 2022-08-02160Thunderbirds-Eagles-
19 - 2022-08-04189Texas Stars-Eagles-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
21 - 2022-08-06208Roadrunners-Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,965,592$ 1,879,550$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$




Eagles Leaders statistiques (saison régulière)

# 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

Eagles Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Eagles Statistiques de l'Équipe de Carrière


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TotalDomicileVisiteur
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

Eagles Leaders statistiques (séries éliminatoires)

# 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

Eagles Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA