Connexion

Eagles
GP: 80 | W: 43 | L: 31 | OTL: 6 | P: 92
GF: 319 | GA: 311 | PP%: 19.24% | PK%: 76.77%
DG: Pier-Olivier Tardif | Morale : 46 | Moyenne d’équipe : 65
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Centre de jeu
Eagles
43-31-6, 92pts
3
FINAL
6 Americans
31-42-7, 69pts
Team Stats
SOW1SéquenceL1
22-13-5Fiche domicile18-18-4
21-18-1Fiche domicile13-24-3
6-3-1Derniers 10 matchs5-4-1
3.99Buts par match 3.85
3.89Buts contre par match 4.44
19.24%Pourcentage en avantage numérique19.25%
76.77%Pourcentage en désavantage numérique76.87%
Eagles
43-31-6, 92pts
6
FINAL
5 Islander
44-32-4, 92pts
Team Stats
SOW1SéquenceW1
22-13-5Fiche domicile21-15-4
21-18-1Fiche domicile23-17-0
6-3-1Derniers 10 matchs5-3-2
3.99Buts par match 4.51
3.89Buts contre par match 4.33
19.24%Pourcentage en avantage numérique28.16%
76.77%Pourcentage en désavantage numérique78.90%
Meneurs d'équipe
Buts
Joseph Blandisi
50
Passes
Drake Caggiula
54
Points
Joseph Blandisi
99
Plus/Moins
Gabriel Vilardi
22
Victoires
Adin Hill
29
Pourcentage d’arrêts
Adin Hill
0.881

Statistiques d’équipe
Buts pour
319
3.99 GFG
Tirs pour
2552
31.90 Avg
Pourcentage en avantage numérique
19.2%
56 GF
Début de zone offensive
36.4%
Buts contre
311
3.89 GAA
Tirs contre
2560
32.00 Avg
Pourcentage en désavantage numérique
76.8%%
82 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur généralPier-Olivier Tardif
EntraîneurJoël Bouchard
DivisionPaul-Loicq
ConférenceLouis-Magnus
CapitaineRyan Murphy
Assistant #1Drake Caggiula
Assistant #2Nick Cousins


Informations de l’aréna

Capacité3,000
Assistance2,795
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure23
Limite contact 56 / 250
Espoirs0


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
1Anthony Duclair (R)X100.006831828181757476596783647956534752720233975,000$
2Drake Caggiula (R) (A)X100.008340768086648767727476636063554658720242975,000$
3Joseph Blandisi (R)X100.006830827476797777777680606261523866720242975,000$
4Zach Aston-Reese (R)X100.007545797568727672756779596853553966700242700,000$
5Tyler Motte (R)X100.008232697176657675627068715847473866690232700,000$
6Michael Carcone (R)X100.007335756177706964717385556348506066680221500,000$
7Sam Steel (R)X100.006642817169667371686770626642435857670202700,000$
8Matteson Iacopelli (R)X100.005832766764737677767465495953483766660231425,000$
9Pius Suter (R)X100.006534807077757669645578537246475222660223600,000$
10Gabriel Vilardi (R)X100.006429797754646174656367567542427566640191500,000$
11Chris Calhan (R)X100.005931836770665972586165576548503466630241550,000$
12Connor Carrick (R)X100.007023798072737475487762766259514245720242550,000$
13Ryan Murphy (C)X100.007229757672757374577269765366533641720252900,000$
14Jack Dougherty (R)X100.007439767470726872676966726757475266700221900,000$
15Jonathan RacineX100.008765686978578465446050694753513356690251600,000$
16Keaton Middleton (R)X100.007233716670746060487362754446446157670203500,000$
17Xavier OuelletX100.006133777162707168516570615652533521650251650,000$
18Kevin Bahl (R)X100.005328785954656552256030694040408022570182500,000$
Rayé
1Nick Cousins (A)X89.216833807777757679778673626765573839730253975,000$
2Jared McCann (R)X88.856838857478766869737472717446484851700222900,000$
3Michael Dal Colle (R)X100.006736765965646064676375456745454519620221400,000$
4Alexander Nylander (R)X100.005640766268576270566757475342425820590202550,000$
5Dominik Kubalik (R)X100.005426715757616064565669525845453320580231500,000$
6Marian Studenic (R)X100.005840765455626255555273375942434820560201500,000$
7Pascal Laberge (R)X100.004941625152535449635459545842424820530202500,000$
8Walker Duehr (R)X100.005432674851515149525260525644454120520211500,000$
9Mattias Samuelsson (R)X91.637546646369804648316746614740408442620182500,000$
10Mark Friedman (R)X100.007136836156606472397161545344454419620223500,000$
11Max Lajoie (R)X100.006146686362617060476856656445464719620213500,000$
12Tyler Tucker (R)X100.005844665559566551395352504740406920530182500,000$
MOYENNE D’ÉQUIPE98.99663675676867686658666660604947494265
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
1Adin Hill100.00766374778369696971608047475656710221900,000$
2Daniel Altshuller98.00716676656478706966786752513968690242700,000$
Rayé
1Zachary Emond (R)100.00344544515251454761483940405919490182500,000$
MOYENNE D’ÉQUIPE99.3360586564666661626662624646514863
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joël Bouchard80756379616350CAN583650,000$


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
1Joseph BlandisiEagles (Col)LW8050499914120111772869518017.48%28144518.07121830362270002623257.43%1015921011.37000001147
2Drake CaggiulaEagles (Col)C71215475-105351301291826010911.54%36142220.04622282720020251673152.98%16973722001.0500001336
3Nick CousinsEagles (Col)RW62363066-934097692156712516.74%28117118.8961016261640110805257.29%964924011.1312000434
4Gabriel VilardiEagles (Col)RW8026386422380100822156111912.09%29138017.2557122818603341014247.96%984926000.9315000363
5Zach Aston-ReeseEagles (Col)C80243458824080721475012316.33%2096412.0611314152270000241152.63%5513611001.2001000122
6Jared McCannEagles (Col)C7124335716140891391615810514.91%40124517.54112223224102265247.76%13822128000.9223000147
7Anthony DuclairEagles (Col)LW55222648-118082731815712012.15%38114520.8385132216511271543148.78%824927100.8422000325
8Jack DoughertyEagles (Col)D801034441286012714811448518.77%107193724.224610232430222206100%02261100.4500000111
9Matteson IacopelliEagles (Col)RW8016274315260743817039979.41%1291311.42123250000003058.82%343117000.9400000220
10Sam SteelEagles (Col)C79192443201006883144456413.19%2297012.28000001013503146.30%6631520010.8900000232
11Connor CarrickEagles (Col)D6792938102209014310548478.57%100168125.108210242260332267100%02961000.4500000101
12Michael CarconeEagles (Col)LW80151833132601067894325415.96%20112614.082136115000015046.48%711320000.5900000240
13Ryan MurphyEagles (Col)D7542731776011317013142573.05%112185824.7803391990002258000%04976000.3300000011
14Keaton MiddletonEagles (Col)D7932730178801061076633384.55%104173021.9012371840001173100%0864000.3500000200
15Tyler MotteEagles (Col)LW8017122904409765139447512.23%3292611.5810115325101910240.63%323118000.6300000310
16Vladislav GavrikovAvalancheD2621921-510036585413203.70%5873228.161458860001102000%01519000.5700000110
17Chris CalhanEagles (Col)RW80101020340344060273816.67%136498.1100007000011138.46%13610000.6200000120
18Jonathan RacineEagles (Col)D80118197640901004728242.13%72115714.470001270000128000%0326000.3300000000
19Mattias SamuelssonEagles (Col)D7418985205760211094.76%4492212.4600008000037000%0030000.2000000000
20Daniel CarrAvalancheLW1032532049265711.54%6969.6600000000212000%182001.0400000000
21Michael Dal ColleEagles (Col)LW3223541001714194910.53%12868.9400002000180033.33%633000.3500000000
22Xavier OuelletEagles (Col)D91455007394611.11%413014.520222900006000%004000.7700000001
23Pius SuterEagles (Col)C19112-120178175115.88%31517.9500000000000050.00%5231000.2602000000
24Mark FriedmanEagles (Col)D10011260850210%814614.6200002000008000%002000.1400000000
25Kevin BahlEagles (Col)D6000-400093000%97712.850000000008000%00400000000000
26Max LajoieEagles (Col)D1000100200010%01111.800000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne14663175288451477115174217792606877149012.16%9462428016.565798155239238391423522281391550.32%4879536598230.70615001413940
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
1Adin HillEagles (Col)64292650.8813.873520602271903963520.700106211211
2Daniel AltshullerEagles (Col)2814510.8763.6913174081655334101.00061862003
Statistiques d’équipe totales ou en moyenne92433160.8803.8248381003082558129762168073214


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 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 restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adin HillEagles (Col)G221996-01-01No202 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Alexander NylanderEagles (Col)LW201998-01-01Yes192 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm550,000$2,736$0$0$No550,000$--------No--------
Anthony DuclairEagles (Col)LW231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm975,000$4,851$0$0$No1,250,000$1,750,000$-------NoNo-------
Chris CalhanEagles (Col)RW241994-01-01Yes187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm550,000$2,736$0$0$No------------------
Connor CarrickEagles (Col)D241994-01-01Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm550,000$2,736$0$0$No550,000$--------No--------
Daniel AltshullerEagles (Col)G241994-01-01No191 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$3,483$0$0$No700,000$--------No--------
Dominik KubalikEagles (Col)LW231995-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Drake CaggiulaEagles (Col)C241994-01-01Yes176 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm975,000$4,851$0$0$No975,000$--------No--------
Gabriel VilardiEagles (Col)RW191999-01-01Yes215 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jack DoughertyEagles (Col)D221996-01-01Yes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Jared McCann (sur la masse salariale)Eagles (Col)C221996-01-01Yes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$Yes900,000$--------No--------
Jonathan RacineEagles (Col)D251993-01-01No194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$2,985$0$0$No------------------
Joseph BlandisiEagles (Col)LW241994-01-01Yes182 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm975,000$4,851$0$0$No975,000$--------No--------
Keaton MiddletonEagles (Col)D201998-01-01Yes240 Lbs6 ft6NoNoN/ANoNo3FalseFalsePro & Farm500,000$2,488$0$0$No500,000$550,000$-------NoNo-------
Kevin BahlEagles (Col)D182000-01-01Yes230 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Marian StudenicEagles (Col)RW201998-01-01Yes181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Mark FriedmanEagles (Col)D221996-01-01Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$2,488$0$0$No500,000$550,000$-------NoNo-------
Matteson IacopelliEagles (Col)RW231995-01-01Yes206 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm425,000$2,114$0$0$No------------------
Mattias SamuelssonEagles (Col)D182000-01-01Yes231 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Max LajoieEagles (Col)D211997-01-01Yes196 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm500,000$2,488$0$0$No500,000$550,000$-------NoNo-------
Michael CarconeEagles (Col)LW221996-01-01Yes170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Michael Dal ColleEagles (Col)LW221996-01-01Yes204 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm400,000$1,990$0$0$No------------------
Nick CousinsEagles (Col)RW251993-01-01No188 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm975,000$4,851$0$0$No1,250,000$1,750,000$-------NoNo-------
Pascal LabergeEagles (Col)C201998-01-01Yes172 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Pius SuterEagles (Col)C221996-01-01Yes176 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm600,000$2,985$0$0$No600,000$625,000$-------NoNo-------
Ryan MurphyEagles (Col)D251993-01-01No185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$No900,000$--------No--------
Sam SteelEagles (Col)C201998-01-01Yes190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm700,000$3,483$0$0$No700,000$--------No--------
Tyler MotteEagles (Col)LW231995-01-01Yes185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm700,000$3,483$0$0$No700,000$--------No--------
Tyler TuckerEagles (Col)D182000-01-01Yes204 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Walker DuehrEagles (Col)RW211997-01-01Yes210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Xavier OuelletEagles (Col)D251993-01-01No200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Zach Aston-ReeseEagles (Col)C241994-01-01Yes204 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm700,000$3,483$0$0$No800,000$--------No--------
Zachary EmondEagles (Col)G182000-01-01Yes165 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3321.91194 Lbs6 ft11.82640,152$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony DuclairDrake CaggiulaGabriel Vilardi36113
2Joseph BlandisiSam SteelMatteson Iacopelli33113
3Michael CarconeZach Aston-ReesePius Suter21122
4Tyler MottePius SuterChris Calhan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CarrickJack Dougherty35122
2Ryan MurphyKeaton Middleton35122
3Jonathan RacineKevin Bahl20131
4Connor CarrickXavier Ouellet10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony DuclairZach Aston-ReeseGabriel Vilardi50113
2Joseph BlandisiDrake CaggiulaMatteson Iacopelli50113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MurphyConnor Carrick55113
2Jack DoughertyKeaton Middleton45113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam SteelTyler Motte60131
2Drake CaggiulaAnthony Duclair40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MurphyConnor Carrick65131
2Jack DoughertyJonathan Racine35131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Motte60140Connor CarrickRyan Murphy70140
2Drake Caggiula40140Jack DoughertyJonathan Racine30140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zach Aston-ReeseAnthony Duclair55122
2Sam SteelGabriel Vilardi45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CarrickJack Dougherty50122
2Ryan MurphyKeaton Middleton50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony DuclairZach Aston-ReeseGabriel VilardiRyan MurphyJack Dougherty
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler MotteDrake CaggiulaGabriel VilardiConnor CarrickRyan Murphy
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sam Steel, Michael Carcone, Gabriel VilardiGabriel Vilardi, Matteson IacopelliGabriel Vilardi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Racine, Kevin Bahl, Jack DoughertyJonathan RacineJonathan Racine, Kevin Bahl
Tirs de pénalité
Anthony Duclair, Gabriel Vilardi, Pius Suter, Zach Aston-Reese, Sam Steel
Gardien
#1 : Daniel Altshuller, #2 : Adin Hill
Lignes d’attaque personnalisées en prolongation
Joseph Blandisi, Anthony Duclair, Drake Caggiula, Gabriel Vilardi, Michael Carcone, Matteson Iacopelli, Matteson Iacopelli, Sam Steel, Tyler Motte, Pius Suter, Zach Aston-Reese
Lignes de défense personnalisées en prolongation
Connor Carrick, Ryan Murphy, Keaton Middleton, Jack Dougherty, Jonathan Racine


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
1Admirals220000001358110000007431100000061541.000132033008311011996684186582734653010429333.33%50100.00%1905176651.25%903179150.42%647129350.04%168693317017561455720
2Americans21100000990110000006331010000036-320.5009152400831101199678418658273485281441800.00%7271.43%1905176651.25%903179150.42%647129350.04%168693317017561455720
3Barracuda31100100131302100010010911010000034-130.5001321340083110119999841865827341132840597228.57%20670.00%1905176651.25%903179150.42%647129350.04%168693317017561455720
4Bears3210000015962200000014681010000013-240.667152136008311011999984186582734952622766116.67%110100.00%1905176651.25%903179150.42%647129350.04%168693317017561455720
5Canucks523000001317-431200000912-32110000045-140.4001321340083110119915784186582734139444010122418.18%20860.00%0905176651.25%903179150.42%647129350.04%168693317017561455720
6Checkers613001102628-2301001101115-4312000001513250.4172642680083110119918584186582734193577815628828.57%39879.49%1905176651.25%903179150.42%647129350.04%168693317017561455720
7Comets402001101420-630100110913-41010000057-230.37514213510831101199122841865827341384824964125.00%12375.00%0905176651.25%903179150.42%647129350.04%168693317017561455720
8Condors2110000010821010000045-11100000063320.500101828008311011996884186582734592118449222.22%9188.89%1905176651.25%903179150.42%647129350.04%168693317017561455720
9Crunch613001011423-931100100913-430200001510-540.3331421350083110119918284186582734187576212525416.00%31777.42%1905176651.25%903179150.42%647129350.04%168693317017561455720
10Griffins220000001073110000004311100000064241.000101727008311011996884186582734641714387114.29%7357.14%0905176651.25%903179150.42%647129350.04%168693317017561455720
11Icehogs2020000049-51010000015-41010000034-100.000471100831101199598418658273465181838600.00%9277.78%0905176651.25%903179150.42%647129350.04%168693317017561455720
12Islander31100010161421010000035-221000010139440.6671623390083110119999841865827349530286110220.00%14378.57%0905176651.25%903179150.42%647129350.04%168693317017561455720
13Little Stars422000001820-2211000001210221100000610-440.500182543008311011991338418658273412362368512216.67%18666.67%0905176651.25%903179150.42%647129350.04%168693317017561455720
14Marlies21001000963100010004311100000053241.00091726008311011996584186582734572012425120.00%6183.33%0905176651.25%903179150.42%647129350.04%168693317017561455720
15Moose320001008711000010023-12200000064250.83381220008311011998484186582734803614571300.00%70100.00%0905176651.25%903179150.42%647129350.04%168693317017561455720
16Penguins623000102426-2312000001015-5311000101411360.5002437610083110119917684186582734191796912427414.81%321165.63%0905176651.25%903179150.42%647129350.04%168693317017561455720
17Phantoms2110000056-11010000035-21100000021120.5005813008311011996184186582734651926416116.67%13469.23%1905176651.25%903179150.42%647129350.04%168693317017561455720
18Punishers33000000165111100000061522000000104661.00016304600831101199998418658273410839245912541.67%12191.67%0905176651.25%903179150.42%647129350.04%168693317017561455720
19Reign20101000810-2100010006511010000025-320.50081422008311011997584186582734611416396116.67%80100.00%0905176651.25%903179150.42%647129350.04%168693317017561455720
20Rocket22000000734110000003121100000042241.00071118008311011996784186582734572218527342.86%9188.89%0905176651.25%903179150.42%647129350.04%168693317017561455720
21Senators21100000871110000006331010000024-220.5008132110831101199618418658273470281238700.00%6266.67%0905176651.25%903179150.42%647129350.04%168693317017561455720
22Silver Knights312000001218-61010000068-221100000610-420.33312183000831101199958418658273493431460800.00%7357.14%0905176651.25%903179150.42%647129350.04%168693317017561455720
23Thunderbirds321000001293110000004222110000087140.66712213300831101199107841865827349433265612325.00%13192.31%0905176651.25%903179150.42%647129350.04%168693317017561455720
24Wolfpack65100000282173300000015963210000013121100.8332845730083110119917884186582734196706012427725.93%30776.67%0905176651.25%903179150.42%647129350.04%168693317017561455720
25Wranglers20101000711-4100010004311010000038-520.50071118008311011998084186582734671916528112.50%8275.00%1905176651.25%903179150.42%647129350.04%168693317017561455720
Total803631035413193118401713035201681617401918000211511501920.57531950982820831101199255284186582734256088871117062915619.24%3538276.77%9905176651.25%903179150.42%647129350.04%168693317017561455720
_Since Last GM Reset803631035413193118401713035201681617401918000211511501920.57531950982820831101199255284186582734256088871117062915619.24%3538276.77%9905176651.25%903179150.42%647129350.04%168693317017561455720
_Vs Conference52222200341208210-226111000320108109-126111200021100101-1560.53820832553310831101199163284186582734165258848311231934121.24%2395875.73%3905176651.25%903179150.42%647129350.04%168693317017561455720
_Vs Division24910002219298-61254002104552-712460001147461250.5219214523700831101199721841865827347672632695291072321.50%1323375.00%2905176651.25%903179150.42%647129350.04%168693317017561455720

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8092SOW131950982825522560888711170620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8036313541319311
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4017133520168161
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4019180021151150
Derniers 10 matchs
WLOTWOTL SOWSOL
530011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2915619.24%3538276.77%9
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
84186582734831101199
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
905176651.25%903179150.42%647129350.04%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
168693317017561455720


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
313Checkers6Eagles5LXR1Sommaire du match
530Crunch3Eagles2LXSommaire du match
637Eagles5Penguins6LR1Sommaire du match
1057Canucks5Eagles3LSommaire du match
1373Eagles1Wolfpack6LR1Sommaire du match
1683Penguins7Eagles1LSommaire du match
19105Comets6Eagles2LSommaire du match
21115Eagles3Thunderbirds1WSommaire du match
23125Eagles1Crunch2LSommaire du match
25134Eagles6Penguins3WR1Sommaire du match
27141Wolfpack3Eagles4WR1Sommaire du match
29158Comets4Eagles3LXSommaire du match
30162Eagles4Checkers6LR1Sommaire du match
33175Eagles1Canucks3LSommaire du match
36193Crunch4Eagles5WSommaire du match
39211Wolfpack2Eagles4WR1Sommaire du match
45235Crunch6Eagles2LSommaire du match
47249Eagles3Canucks2WSommaire du match
51263Silver Knights8Eagles6LSommaire du match
54281Eagles6Admirals1WSommaire du match
55287Americans3Eagles6WSommaire du match
58296Eagles3Penguins2WXXR1Sommaire du match
60306Eagles2Phantoms1WSommaire du match
62317Phantoms5Eagles3LSommaire du match
66341Griffins3Eagles4WSommaire du match
70363Eagles2Senators4LSommaire du match
71369Wolfpack4Eagles7WR1Sommaire du match
74387Eagles3Wranglers8LSommaire du match
75394Reign5Eagles6WXSommaire du match
80417Punishers1Eagles6WSommaire du match
83434Eagles2Little Stars8LSommaire du match
85443Senators3Eagles6WSommaire du match
88461Eagles6Condors3WSommaire du match
90469Thunderbirds2Eagles4WSommaire du match
94488Eagles1Bears3LSommaire du match
95495Icehogs5Eagles1LSommaire du match
98515Eagles6Griffins4WSommaire du match
99522Barracuda4Eagles3LXSommaire du match
102539Eagles4Silver Knights3WSommaire du match
104547Islander5Eagles3LSommaire du match
106556Eagles7Islander4WSommaire du match
109573Condors5Eagles4LSommaire du match
112585Eagles2Checkers3LR1Sommaire du match
115600Admirals4Eagles7WSommaire du match
119624Eagles3Icehogs4LSommaire du match
120628Marlies3Eagles4WXSommaire du match
123648Eagles2Silver Knights7LSommaire du match
124652Checkers4Eagles5WXXR1Sommaire du match
128677Comets3Eagles4WXXSommaire du match
130686Eagles3Barracuda4LSommaire du match
132702Checkers5Eagles1LR1Sommaire du match
134711Eagles4Little Stars2WSommaire du match
138729Canucks2Eagles4WSommaire du match
140741Eagles5Marlies3WSommaire du match
142755Penguins5Eagles4LR1Sommaire du match
144769Eagles5Comets7LSommaire du match
146781Barracuda5Eagles7WSommaire du match
147792Eagles4Rocket2WSommaire du match
150807Moose3Eagles2LXSommaire du match
152814Eagles4Punishers2WSommaire du match
154822Eagles3Moose2WSommaire du match
156834Rocket1Eagles3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161854Eagles5Thunderbirds6LSommaire du match
162861Canucks5Eagles2LSommaire du match
168886Penguins3Eagles5WR1Sommaire du match
169891Eagles9Checkers4WR1Sommaire du match
172911Bears4Eagles6WSommaire du match
174922Eagles6Punishers2WSommaire du match
177937Wranglers3Eagles4WXSommaire du match
178941Eagles2Crunch5LSommaire du match
182963Bears2Eagles8WSommaire du match
186989Little Stars6Eagles4LSommaire du match
187992Eagles5Wolfpack3WR1Sommaire du match
188997Eagles3Moose2WSommaire du match
1921014Eagles2Crunch3LXXSommaire du match
1931015Little Stars4Eagles8WSommaire du match
1941016Eagles2Reign5LSommaire du match
1951018Eagles7Wolfpack3WR1Sommaire du match
1961020Eagles3Americans6LSommaire du match
1971028Eagles6Islander5WXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance74,75337,037
Assistance PCT93.44%92.59%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2795 - 93.16% 176,248$7,049,901$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,089,329$ 2,990,000$ 2,784,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,428$ 2,427,747$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 18,109$ 18,109$




Eagles Leaders statistiques des joueurs (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

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 des joueurs (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