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Connexion

Eagles
GP: 34 | W: 9 | L: 17 | OTL: 8 | P: 26
GF: 75 | GA: 110 | PP%: 40.24% | PK%: 68.24%
DG: Sabin Downer | Morale : 31 | Moyenne d’équipe : 57
Prochains matchs #555 vs Condors

Centre de jeu
Reign
21-13-1, 43pts
3
1 Eagles
9-17-8, 26pts
Team Stats
W3SéquenceSOL1
8-10-0Fiche domicile6-10-2
13-3-1Fiche domicile3-7-6
7-2-1Derniers 10 matchs0-6-4
3.97Buts par match 2.21
3.34Buts contre par match 3.24
25.00%Pourcentage en avantage numérique40.24%
73.64%Pourcentage en désavantage numérique68.24%
Eagles
9-17-8, 26pts
1
2 Condors
20-13-3, 43pts
Team Stats
SOL1SéquenceW2
6-10-2Fiche domicile9-9-0
3-7-6Fiche domicile11-4-3
0-6-4Derniers 10 matchs4-5-1
2.21Buts par match 2.97
3.24Buts contre par match 2.44
40.24%Pourcentage en avantage numérique27.71%
68.24%Pourcentage en désavantage numérique69.47%
Condors
20-13-3, 43pts
Jour 44
Eagles
9-17-8, 26pts
Statistiques d’équipe
W2SéquenceSOL1
9-9-0Fiche domicile6-10-2
11-4-3Fiche visiteur3-7-6
4-5-110 derniers matchs0-6-4
2.97Buts par match 2.21
2.44Buts contre par match 2.21
27.71%Pourcentage en avantage numérique40.24%
69.47%Pourcentage en désavantage numérique68.24%
Eagles
9-17-8, 26pts
Jour 46
Stars
22-9-4, 48pts
Statistiques d’équipe
SOL1SéquenceW1
6-10-2Fiche domicile10-5-2
3-7-6Fiche visiteur12-4-2
0-6-410 derniers matchs6-1-3
2.21Buts par match 3.23
3.24Buts contre par match 3.23
40.24%Pourcentage en avantage numérique25.33%
68.24%Pourcentage en désavantage numérique70.49%
Thunderbirds
28-5-2, 58pts
Jour 47
Eagles
9-17-8, 26pts
Statistiques d’équipe
W12SéquenceSOL1
14-3-1Fiche domicile6-10-2
14-2-1Fiche visiteur3-7-6
10-0-010 derniers matchs0-6-4
4.80Buts par match 2.21
2.91Buts contre par match 2.21
31.00%Pourcentage en avantage numérique40.24%
81.67%Pourcentage en désavantage numérique68.24%
Meneurs d'équipe
Buts
Ivan Miroshnichenko
13
Passes
Jan Mysak
22
Points
Jan Mysak
34
Plus/Moins
Maxim Barbashev
1
Victoires
Jack LaFontaine
9
Pourcentage d’arrêts
Jack LaFontaine
0.84

Statistiques d’équipe
Buts pour
75
2.21 GFG
Tirs pour
564
16.59 Avg
Pourcentage en avantage numérique
40.2%
33 GF
Début de zone offensive
35.5%
Buts contre
110
3.24 GAA
Tirs contre
653
19.21 Avg
Pourcentage en désavantage numérique
68.2%%
27 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralSabin Downer
EntraîneurRoy Sommer
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,174
Billets de saison1,500


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 100
Espoirs65


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
1Ivan Miroshnichenko (R)XX97.008144997870548670256660652548496432630222950,000$
2Jan MysakX100.007669916870788365796165645945456443630231902,500$
3Jake WiseXXX98.0075689066685351637960646360464562486002631,206,000$
4Zayde WisdomX100.007571816772788359505460615546456036600231896,667$
5Alex Jefferies (R)X98.0076709067715352595055586355464559445802431,167,000$
6Brandon BiroX100.0071639066636972585063495946464557295802711,125,000$
7Nikita PavlychevX100.0078807365805353536857466244464554385602821,014,000$
8Hayden HodgsonX100.006784256884606351504850564846455134540292900,000$
9Maxim Barbashev (R)XXX100.0070726581733733536846555953454555405402231,291,000$
10Jacob Bernard-DockerX100.0071568771736260622553526925616057376302521,350,000$
11Isaiah George (R)X100.0062429476736781612552506925484859426302231,382,000$
12Seamus Casey (R)X100.0068419970606062642562696225474667436102231,317,000$
13Ville Ottavainen (R)X100.0081818269827684482539426239464552446102331,397,000$
14Ty SmithX100.0069667568666061622556506447616057376002521,325,000$
15Domenick Fensore (R)X100.0067628368637985542547475746464556335902431,350,000$
16Calen AddisonX100.0069707066706366542554415939454653405702521,636,000$
17Calle Odelius (R)X100.0075709064715153462538385937464549395502131,277,000$
18Roman Schmidt (R)X100.0074825663835964442531415839454448405502331,277,000$
Rayé
1Jett Luchanko (R)X91.4571668381675556516555445942454554235601931,287,000$
2Mason GeertsenX100.007486476286525347504744594245455038530302900,000$
3Reece NewkirkXXX100.0067637662634240506350455743444451205102531,130,000$
4Gleb Trikozov (R)X100.0078719361714646475041476245444453205102131,257,000$
5Ben Hemmerling (R)X100.0075679561674342475043466044444452205102131,317,000$
MOYENNE D’ÉQUIPE99.32736780687259625544515161434747563657
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
1Jack LaFontaine (R)100.004440508245884448908145454559556002831,101,000$
2Jakub Skarek (R)100.00474860854649495350503045454846520262948,000$
Rayé
MOYENNE D’ÉQUIPE100.0046445584466947517066384545545156
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Roy Sommer65565862636357USA592750,000$


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
1Jan MysakEagles (COL)C31122234-12115314466223018.18%665521.153141716410000270067.61%2471414011.0414001201
2Jake WiseEagles (COL)C/LW/RW34131831-41915426879264116.46%1070120.63771415560111304159.02%3272013000.8800012311
3Ivan MiroshnichenkoEagles (COL)LW/RW28131023-1800274256123823.21%1262622.38861417440001430033.94%2771813020.7302000201
4Alex JefferiesEagles (COL)LW3471017-4101037524482415.91%667019.7344812391012260050.00%2038000.5103002003
5Zayde WisdomEagles (COL)RW3451015-22792562625418379.26%1476922.630666410002231051.79%561710000.3916221100
6Jacob Bernard-DockerEagles (COL)D3431114-1933531735114225.88%3287525.742461367000161000%01323000.3200010002
7Brandon BiroEagles (COL)LW346814-1440445454152711.11%866619.6143710370001230042.06%2141014000.4201000110
8Seamus CaseyEagles (COL)D3411112-125524585118151.96%3683524.5702223600005000%01917000.2900100002
9Ville OttavainenEagles (COL)D343811-1539153042166918.75%2473421.60246768000037010%0313000.3000003011
10Hayden HodgsonEagles (COL)RW343710-14682069301691618.75%1362918.522572430002441047.73%44512000.3200130010
11Ty SmithEagles (COL)D34224-161954253214139.52%2575622.25112236000162110%1916000.1100010010
12Jett LuchankoEagles (COL)C26213-101151521172411.76%22449.3900000000000054.72%10624000.2500100010
13Calle OdeliusEagles (COL)D34022-56012163010%439111.5200000000021000%004000.1000000000
14Maxim BarbashevEagles (COL)C/LW/RW34202180221173828.57%32697.9300005000000083.33%1250000.1500000001
15Isaiah GeorgeEagles (COL)D510110002100100.00%1316.320000100000000%000000.6300000010
16Mason GeertsenEagles (COL)LW29101-1155231080312.50%22438.39000020000410100.00%211000.0800010010
17Nikita PavlychevEagles (COL)C34011-1060294412260%346113.5700002000040061.06%11346000.0400000000
18Domenick FensoreEagles (COL)D34000-5121016278320%952315.3900001000041000%21700000020000
19Calen AddisonEagles (COL)D34000000100000%0692.050000000000000%10000000000000
20Gleb TrikozovEagles (COL)LW3000000000000%031.040000000000000%00000000000000
21Roman SchmidtEagles (COL)D34000000000000%070.220000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne63274121195-17934512555770956416229613.12%2101016716.09335689102529112114578352.25%1422144175030.3821651199812
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
1Jack LaFontaineEagles (COL)3491680.8402.9019240593583258100.53813340230
2Jakub SkarekEagles (COL)60100.8295.04143001270440000034000
Statistiques d’équipe totales ou en moyenne4091780.8393.0520680510565330210133434230


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 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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Alex JefferiesEagles (COL)LW242001-11-08USAYes194 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,167,000$718,955$0$0$No1,167,000$1,167,000$-------1,167,000$1,167,000$-------NoNo-------Lien
Ben HemmerlingEagles (COL)RW212004-04-21CANYes180 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,317,000$811,366$0$0$No1,317,000$1,317,000$-------1,317,000$1,317,000$-------NoNo-------Lien
Brandon BiroEagles (COL)LW271998-03-11CANNo170 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,125,000$693,080$0$0$No---------------------------Lien
Calen AddisonEagles (COL)D252000-04-11CANNo195 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,636,000$1,007,893$0$0$No1,636,000$--------1,636,000$--------No--------Lien
Calle OdeliusEagles (COL)D212004-05-30SWEYes192 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$786,723$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Domenick FensoreEagles (COL)D242001-09-07USAYes175 Lbs5 ft9NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,350,000$831,696$0$0$No1,350,000$1,350,000$-------1,350,000$1,350,000$-------NoNo-------Lien
Gleb TrikozovEagles (COL)LW212004-08-12RUSYes191 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,257,000$774,402$0$0$No1,257,000$1,257,000$-------1,257,000$1,257,000$-------NoNo-------Lien
Hayden HodgsonEagles (COL)RW291996-03-02CANNo221 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm900,000$554,464$0$0$No900,000$--------900,000$--------No--------Lien
Isaiah GeorgeEagles (COL)D222004-02-15CANYes196 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,382,000$851,411$0$0$No1,382,000$1,382,000$-------1,382,000$1,382,000$-------NoNo-------Lien
Ivan MiroshnichenkoEagles (COL)LW/RW222004-02-04RUSYes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm950,000$585,268$0$0$No950,000$--------950,000$--------No--------Lien
Jack LaFontaineEagles (COL)G281998-01-06CANYes209 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,101,000$678,295$0$0$No1,101,000$1,101,000$-------1,101,000$1,101,000$-------NoNo-------Lien
Jacob Bernard-DockerEagles (COL)D252000-06-30CANNo198 Lbs6 ft1NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,350,000$831,696$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Jake WiseEagles (COL)C/LW/RW262000-02-28USANo190 Lbs5 ft10NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,206,000$742,982$0$0$No1,206,000$1,206,000$-------1,206,000$1,206,000$-------NoNo-------Lien
Jakub SkarekEagles (COL)G261999-11-10CZEYes211 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm948,000$584,036$0$0$No948,000$--------948,000$--------No--------Lien
Jan MysakEagles (COL)C232002-06-24CZENo192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm902,500$556,004$0$0$No---------------------------Lien
Jett LuchankoEagles (COL)C192006-08-21CANYes180 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,287,000$792,884$0$0$No1,287,000$1,287,000$-------1,287,000$1,287,000$-------NoNo-------Lien
Mason GeertsenEagles (COL)LW301995-04-19CANNo231 Lbs6 ft4NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm900,000$554,464$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Maxim BarbashevEagles (COL)C/LW/RW222003-12-18RUSYes192 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,291,000$795,348$0$0$No1,291,000$1,291,000$-------1,291,000$1,291,000$-------NoNo-------Lien
Nikita PavlychevEagles (COL)C281997-03-23RUSNo201 Lbs6 ft7NoNoTrade2025-03-11NoNo2FalseFalsePro & Farm1,014,000$624,696$0$0$No1,014,000$--------1,014,000$--------No--------Lien
Reece NewkirkEagles (COL)C/LW/RW252001-02-20SKWNo170 Lbs5 ft11NoNoTrade2025-03-11NoNo32025-10-17FalseFalsePro & Farm1,130,000$696,161$0$0$No1,130,000$1,130,000$-------1,130,000$1,130,000$-------NoNo-------Lien
Roman SchmidtEagles (COL)D232003-02-27USAYes218 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$786,723$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Seamus CaseyEagles (COL)D222004-01-08USAYes162 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,317,000$811,366$0$0$No1,317,000$1,317,000$-------1,317,000$1,317,000$-------NoNo-------Lien
Ty SmithEagles (COL)D252000-03-24CANNo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,325,000$816,295$0$0$No1,325,000$--------1,325,000$--------No--------Lien
Ville OttavainenEagles (COL)D232002-08-12FINYes210 Lbs6 ft5NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,397,000$860,652$0$0$No1,397,000$1,397,000$-------1,397,000$1,397,000$-------NoNo-------Lien
Zayde WisdomEagles (COL)RW232002-07-07CANNo201 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm896,667$552,411$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.16194 Lbs6 ft12.441,188,127$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jan MysakBrandon BiroZayde Wisdom40122
2Ivan MiroshnichenkoJake WiseAlex Jefferies30122
3Zayde WisdomIvan MiroshnichenkoHayden Hodgson20122
4Zayde WisdomNikita PavlychevJake Wise10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyJacob Bernard-Docker40122
2Ty SmithVille Ottavainen30122
3Seamus CaseyDomenick Fensore20122
4Calle OdeliusJacob Bernard-Docker10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake WiseBrandon BiroAlex Jefferies60122
2Ivan MiroshnichenkoHayden HodgsonZayde Wisdom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville OttavainenJacob Bernard-Docker60122
2Seamus CaseyTy Smith40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ivan MiroshnichenkoHayden Hodgson60122
2Zayde WisdomJake Wise40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerTy Smith60122
2Domenick FensoreVille Ottavainen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jake Wise60122Jacob Bernard-DockerTy Smith60122
2Zayde Wisdom40122Calle OdeliusSeamus Casey40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zayde WisdomHayden Hodgson60122
2Ivan MiroshnichenkoJake Wise40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithVille Ottavainen60122
2Seamus CaseyJacob Bernard-Docker40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan MiroshnichenkoJake WiseZayde WisdomTy SmithJacob Bernard-Docker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ivan MiroshnichenkoJake WiseZayde WisdomTy SmithJacob Bernard-Docker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Wise, Zayde Wisdom, Hayden HodgsonJake Wise, Zayde WisdomZayde Wisdom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Seamus Casey, Jacob Bernard-Docker, Domenick FensoreJacob Bernard-DockerCalle Odelius, Jacob Bernard-Docker
Tirs de pénalité
Zayde Wisdom, Ivan Miroshnichenko, Alex Jefferies, Hayden Hodgson, Jake Wise
Gardien
#1 : Jack LaFontaine, #2 : Jakub Skarek


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
1Admirals412000011618-2312000001011-11000000167-130.375162440001321402871141802622477275088191052.63%10550.00%026849654.03%29353654.66%18236749.59%579198616378875444
2Americans30200100414-102010010029-71010000025-310.16747110013214025111418026224741934438225.00%7185.71%026849654.03%29353654.66%18236749.59%579198616378875444
3Barracuda1000000112-1000000000001000000112-110.5001230013214021011418026224162216200.00%110.00%026849654.03%29353654.66%18236749.59%579198616378875444
4Bears2020000036-31010000024-21010000012-100.0003470013214022911418026224371312372150.00%6266.67%026849654.03%29353654.66%18236749.59%579198616378875444
5Bruins2010010047-31010000013-21000010034-110.250461000132140231114180262243698303266.67%4175.00%026849654.03%29353654.66%18236749.59%579198616378875444
6Checkers412001001113-2211000007522010010048-430.3751119300113214026211418026224581739738562.50%12466.67%026849654.03%29353654.66%18236749.59%579198616378875444
7Comets1010000023-1000000000001010000023-100.00024600132140291141802622424108103133.33%4250.00%026849654.03%29353654.66%18236749.59%579198616378875444
8Condors1000000112-1000000000001000000112-110.50012300132140271141802622410142011100.00%20100.00%026849654.03%29353654.66%18236749.59%579198616378875444
9Crunch1010000026-41010000026-40000000000000.00024600132140217114180262242666312400.00%4250.00%026849654.03%29353654.66%18236749.59%579198616378875444
10Heat21000010752100000106511100000010141.000711180113214022911418026224491622363133.33%60100.00%026849654.03%29353654.66%18236749.59%579198616378875444
11Marlies22000000413110000001011100000031241.00046100113214022011418026224331011314125.00%3166.67%026849654.03%29353654.66%18236749.59%579198616378875444
12Moose210000013211000000101-11100000031230.750369001321402311141802622426916253133.33%80100.00%026849654.03%29353654.66%18236749.59%579198616378875444
13Penguins21100000330211000003300000000000020.5003690013214023011418026224153262422100.00%3166.67%026849654.03%29353654.66%18236749.59%579198616378875444
14Reign1010000013-21010000013-20000000000000.000123001321402191141802622437179105120.00%2150.00%026849654.03%29353654.66%18236749.59%579198616378875444
15Roadrunners1010000024-2000000000001010000024-200.0002350013214022911418026224351316212150.00%3166.67%026849654.03%29353654.66%18236749.59%579198616378875444
16Rocket1000000101-1000000000001000000101-110.5000000013214021411418026224134016200.00%000%026849654.03%29353654.66%18236749.59%579198616378875444
17Senators10100000310-70000000000010100000310-700.0003470013214022711418026224331310144125.00%5180.00%126849654.03%29353654.66%18236749.59%579198616378875444
18Stars1010000025-31010000025-30000000000000.0002240013214022411418026224341542111100.00%2150.00%026849654.03%29353654.66%18236749.59%579198616378875444
19Wolves21100000651110000006241010000003-320.5006915001321402381141802622420611306233.33%330.00%026849654.03%29353654.66%18236749.59%579198616378875444
Total348170031575110-3518510001114357-141637002043253-21260.3827512119603132140256411418026224653210345557823340.24%852768.24%126849654.03%29353654.66%18236749.59%579198616378875444
_Since Last GM Reset348170031575110-3518510001114357-141637002043253-21260.3827512119603132140256411418026224653210345557823340.24%852768.24%126849654.03%29353654.66%18236749.59%579198616378875444
_Vs Conference24712002125674-181548001113446-12934001012228-6200.417569014603132140241111418026224475159239409572645.61%621772.58%026849654.03%29353654.66%18236749.59%579198616378875444
_Vs Division758002121417-34360011111923220010138-5161.1431423370013214021061141802622496325710113646.15%16850.00%026849654.03%29353654.66%18236749.59%579198616378875444

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3426SOL17512119656465321034555703
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
34817031575110
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1851001114357
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
163702043253
Derniers 10 matchs
WLOTWOTL SOWSOL
060202
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
823340.24%852768.24%1
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
114180262241321402
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
26849654.03%29353654.66%18236749.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
579198616378875444


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
14Penguins1Eagles3WSommaire du match
223Admirals6Eagles5LSommaire du match
550Eagles1Heat0WSommaire du match
664Americans7Eagles1LSommaire du match
772Eagles2Checkers5LSommaire du match
996Eagles3Marlies1WSommaire du match
10110Marlies0Eagles1WSommaire du match
11128Eagles6Admirals7LXXSommaire du match
12140Moose1Eagles0LXXSommaire du match
13156Eagles2Checkers3LXSommaire du match
14162Eagles3Moose1WSommaire du match
15177Eagles3Senators10LSommaire du match
16185Penguins2Eagles0LSommaire du match
18214Admirals3Eagles1LSommaire du match
19234Checkers0Eagles4WSommaire du match
20236Eagles2Americans5LSommaire du match
22265Wolves2Eagles6WSommaire du match
24281Heat5Eagles6WXXSommaire du match
26301Eagles2Comets3LSommaire du match
27316Stars5Eagles2LSommaire du match
29341Admirals2Eagles4WSommaire du match
30358Eagles2Roadrunners4LSommaire du match
31369Eagles0Rocket1LXXSommaire du match
32381Checkers5Eagles3LSommaire du match
33402Bruins3Eagles1LSommaire du match
34418Eagles3Bruins4LXSommaire du match
35431Crunch6Eagles2LSommaire du match
37448Eagles0Wolves3LSommaire du match
38466Bears4Eagles2LSommaire du match
39473Eagles1Barracuda2LXXSommaire du match
40488Eagles1Bears2LSommaire du match
41505Americans2Eagles1LXSommaire du match
42523Reign3Eagles1LSommaire du match
43541Eagles1Condors2LXXSommaire du match
44555Condors-Eagles-
46578Eagles-Stars-
47591Thunderbirds-Eagles-
48603Eagles-Marlies-
49618Eagles-Canucks-
50632Phantoms-Eagles-
51652Barracuda-Eagles-
52665Eagles-Senators-
53680Eagles-Islanders-
54691Penguins-Eagles-
55709Eagles-Heat-
57723Moose-Eagles-
58744Islanders-Eagles-
59757Eagles-Phantoms-
61777Heat-Eagles-
62793Eagles-IceHogs-
64804Eagles-Wolf Pack-
65816Wolf Pack-Eagles-
66837Canucks-Eagles-
68857Eagles-Stars-
69870Griffins-Eagles-
70880Eagles-Admirals-
72900Americans-Eagles-
73919Eagles-Gulls-
74932Rocket-Eagles-
76947Eagles-Penguins-
77962Eagles-Silver Knights-
78970Stars-Eagles-
80994Roadrunners-Eagles-
811011Eagles-Americans-
821024Comets-Eagles-
831032Eagles-Thunderbirds-
851051Eagles-Americans-
861062IceHogs-Eagles-
881085Wolves-Eagles-
891099Eagles-Wild-
901115Gulls-Eagles-
911124Eagles-Penguins-
921140Eagles-Reign-
931153Stars-Eagles-
961180Monsters-Eagles-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981209Senators-Eagles-
991220Eagles-Monsters-
1001227Eagles-Heat-
1011241Eagles-Griffins-
1021245Eagles-Checkers-
1031255Wild-Eagles-
1041271Eagles-Moose-
1051283Marlies-Eagles-
1071303Eagles-Moose-
1081305Eagles-Crunch-
1101328Silver Knights-Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance25,45713,679
Assistance PCT70.71%75.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
25 2174 - 72.47% 90,739$1,633,307$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,381,439$ 2,970,317$ 2,970,317$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
26,521$ 1,093,511$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,268,482$ 69 33,217$ 2,291,973$




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