Eagles

GP: 68 | W: 11 | L: 53 | OTL: 4 | P: 26
GF: 181 | GA: 358 | PP%: 13.03% | PK%: 76.06%
DG: Jean-Francois Moquin | Morale : 15 | Moyenne d'Équipe : 62
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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 SP
1Ryan DonatoX100.005436937073777469566768646665646933650
2Tomas NosekX100.007137886485738163656162746273683767650
3Riley BarberX100.005841766572928964676165596569656067640
4Otto Koivula (R)X100.007537896290938961645958635961636467640
5Max Jones (R)X100.007340796387806562586162665961638169630
6Boo NievesX100.006236896385716461766258645969666461620
7Hudson FaschingX100.006936925984928958635655625866645667620
8Michael McCarronX100.008342746098807459676056645867647934620
9Victor Olofsson (R)X100.005235936569897164606365596267645563620
10Brendan GaunceX100.006337896184766959636158605669667723600
11Eeli Tolvanen (R)XX100.005336926369837262545861596360628126600
12Marcus PetterssonX100.007863706379829562307554734965637572680
13MacKenzie WeegarX100.008465706274827762307058695369674767660
14Brett LernoutX100.007437875589949553305251594867645963640
15Caleb JonesX100.006337886476886763307157655163626167640
16Thomas SchemitschX100.007137875886918657305653594865636263630
17Dan RenoufX100.006843715681949554305751564569656063620
18Jacob LarssonX100.005837895780816756306053685163628067620
19Josh MahuraX100.005636926573816463307056625861637467620
20Sean Day (R)X100.007535935588878154305552584561636463620
21Patrick SieloffX100.006542755877918756305351544569657125610
Rayé
1Mark McNeillX100.007038865783918656625753585571667920600
2Lukas Vejdemo (R)X100.006436915780939056595554575565636220600
3Nicolas RoyX100.006336915987777158655656605463626320590
4Miikka SalomakiX100.008537815973675958536057635670666820590
5Ryan FitzgeraldX100.005237895964928858656153585669656120590
6Nick MoutreyX100.007437895588898353545251575367646120580
7Zach NastasiukX100.006635935581857954555352565367646120580
8Givani Smith (R)X100.006842755481928953555254565361636220580
9Garret RossX100.005845665971787258545255565473675820570
10Petrus Palmu (R)X100.005635885651737054525351585662596620550
11Ryan Lindgren (R)X100.006239815875857057305553594561637320600
12Louie BelpedioX100.005536905972847158305554574665636420590
13Vili SaarijarviX100.005636915858939157305451535063626320590
MOYENNE D'ÉQUIPE100.00663985607885795949595661546664654361
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 SP
1Sam Montembeault100.00799088857877797877797865696863760
2Thatcher Demko100.00777876857675777675777667717823740
Rayé
1Eric Comrie100.00796967727877797877797867716920730
2Adam Huska (R)100.00676664896665676665676663675320660
MOYENNE D'ÉQUIPE100.0076767483757476757476756670673272
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller78777573807469CAN5322,675,000$


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
1Ryan DonatoEagles (Col)C68392261-195351381313176719612.30%69101214.880112160000182157.14%7700031.2100001224
2Michael McCarronEagles (Col)C6821829-174810140741805111211.67%506139.0200000000002067.39%4600000.9500002250
3Boo NievesEagles (Col)C32020404270328.57%24214.0600000000000062.75%5100000.9500000000
4Marcus PetterssonEagles (Col)D3000-220830000.00%4237.790000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne142623092-381071529021050411831112.30%125169111.910112160000184161.49%17400031.0900003474
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam HuskaEagles (Col)G221997-05-12Yes227 Lbs6 ft3NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Boo NievesEagles (Col)C251994-01-23No210 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Brendan GaunceEagles (Col)C251994-03-25No217 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$NoLien
Brett LernoutEagles (Col)D231995-09-24No214 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
Caleb JonesEagles (Col)D221997-06-06No194 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Dan RenoufEagles (Col)D251994-06-01No205 Lbs6 ft2NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Eeli TolvanenEagles (Col)LW/RW201999-04-22Yes191 Lbs5 ft10NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Eric ComrieEagles (Col)G231995-07-06No175 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Garret RossEagles (Col)LW271992-05-26No176 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Givani SmithEagles (Col)LW211998-02-27Yes204 Lbs6 ft2NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Hudson FaschingEagles (Col)RW231995-07-28No204 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jacob LarssonEagles (Col)D221997-04-29No197 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Josh MahuraEagles (Col)D211998-05-05No192 Lbs6 ft0NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Louie BelpedioEagles (Col)D231996-05-14No196 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Lukas VejdemoEagles (Col)C231996-01-25Yes196 Lbs6 ft2NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
MacKenzie WeegarEagles (Col)D251994-01-07No200 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Marcus PetterssonEagles (Col)D231996-05-08No177 Lbs6 ft3NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Mark McNeillEagles (Col)C261993-02-22No214 Lbs6 ft2NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Max JonesEagles (Col)LW211998-02-17Yes220 Lbs6 ft3NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Michael McCarronEagles (Col)C241995-07-04No230 Lbs6 ft6NoNoNo1Pro & Farm900,000$0$0$NoLien
Miikka SalomakiEagles (Col)RW261993-03-09No203 Lbs5 ft11NoNoNo1Pro & Farm300,000$0$0$NoLien
Nick MoutreyEagles (Col)RW241995-06-24No222 Lbs6 ft3NoNoNo1Pro & Farm300,000$0$0$NoLien
Nicolas RoyEagles (Col)C221997-02-05No205 Lbs6 ft4NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Otto KoivulaEagles (Col)LW201998-09-01Yes219 Lbs6 ft4NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Patrick SieloffEagles (Col)D251994-05-15No205 Lbs6 ft1NoNoNo1Pro & Farm300,000$0$0$NoLien
Petrus PalmuEagles (Col)RW211997-07-16Yes172 Lbs5 ft6NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Riley BarberEagles (Col)RW251994-02-07No190 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Ryan DonatoEagles (Col)C231996-04-09No193 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Ryan FitzgeraldEagles (Col)LW241994-10-19No172 Lbs5 ft9NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Ryan LindgrenEagles (Col)D211998-02-11Yes201 Lbs6 ft0NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Sam MontembeaultEagles (Col)G221996-10-30No208 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLien
Sean DayEagles (Col)D211998-01-09Yes225 Lbs6 ft3NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Thatcher DemkoEagles (Col)G231995-12-08No192 Lbs6 ft4NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Thomas SchemitschEagles (Col)D221996-10-26No200 Lbs6 ft4NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Tomas NosekEagles (Col)LW261992-09-01No210 Lbs6 ft3NoNoNo2Pro & Farm888,888$0$0$No888,888$Lien
Victor OlofssonEagles (Col)LW231995-07-18Yes181 Lbs5 ft11NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Vili SaarijarviEagles (Col)D221997-05-15No182 Lbs5 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Zach NastasiukEagles (Col)RW241995-03-30No202 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3823.11201 Lbs6 ft12.61504,971$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Ryan Donato30122
3Michael McCarron20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Ryan Donato40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Ryan Donato40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Ryan Donato40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , Ryan Donato,
Gardien
#1 : , #2 :


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
LigueDomicileVisiteur
# 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
1Barracuda808000001146-3540400000623-1740400000523-1800.00011193010666153115269169867543601127213627518.52%35780.00%0645186634.57%785234233.52%376113633.10%11747992159494753316
2Condors806011002043-23403010001018-8403001001025-1530.18820385800666153121669169867543801097713420315.00%30776.67%0645186634.57%785234233.52%376113633.10%11747992159494753316
3Gulls808000002356-33404000001025-15404000001331-1800.0002344670066615312406916986754390946315730310.00%29775.86%0645186634.57%785234233.52%376113633.10%11747992159494753316
4Heat807001001739-2240300100818-1040400000921-1210.06317335000666153127869169867544341095817219421.05%25292.00%0645186634.57%785234233.52%376113633.10%11747992159494753316
5Moose422000001818021100000107321100000811-340.500183452006661531186691698675419661288717317.65%12191.67%0645186634.57%785234233.52%376113633.10%11747992159494753316
6Rampage40400000725-1820200000310-720200000415-1100.000710170066615318669169867541463030601715.88%14564.29%0645186634.57%785234233.52%376113633.10%11747992159494753316
7Reign87000100483216430001002318544000000251411150.93848901380066615314726916986754325834725635514.29%21576.19%0645186634.57%785234233.52%376113633.10%11747992159494753316
8Roadrunners12111000002862-34606000001828-10615000001034-2420.083285381006661531280691698675447314115018044613.64%511570.59%1645186634.57%785234233.52%376113633.10%11747992159494753316
Total68105301400181358-177344260130093167-74346270010088191-103260.19118133751810666153120686916986754306182762613152383113.03%2596276.06%1645186634.57%785234233.52%376113633.10%11747992159494753316
10Wild40300100623-1720100100412-820200000211-910.125611170066615318769169867541843838661417.14%19763.16%0645186634.57%785234233.52%376113633.10%11747992159494753316
11Wolves40400000314-112020000018-72020000026-400.0003580066615317169169867541735063671500.00%23673.91%0645186634.57%785234233.52%376113633.10%11747992159494753316
_Since Last GM Reset68105301400181358-177344260130093167-74346270010088191-103260.19118133751810666153120686916986754306182762613152383113.03%2596276.06%1645186634.57%785234233.52%376113633.10%11747992159494753316
_Vs Conference280240130053144-9114011012002666-4014013001002778-5150.08953971500066615317386916986754131733626649985910.59%1112775.68%0645186634.57%785234233.52%376113633.10%11747992159494753316
_Vs Division1207001003166-35603001001729-12604000001437-2310.04231558600666153135969169867545261299621348510.42%451371.11%0645186634.57%785234233.52%376113633.10%11747992159494753316

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6826L518133751820683061827626131510
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6810531400181358
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
34426130093167
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
34627010088191
Derniers 10 Matchs
WLOTWOTL SOWSOL
280000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2383113.03%2596276.06%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
69169867546661531
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
645186634.57%785234233.52%376113633.10%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11747992159494753316


Derniers Match 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
3 - 2019-09-047Wolves3Eagles0LSommaire du Match
4 - 2019-09-0521Wolves5Eagles1LSommaire du Match
10 - 2019-09-1140Eagles1Rampage7LSommaire du Match
11 - 2019-09-1254Eagles3Rampage8LSommaire du Match
17 - 2019-09-1879Reign4Eagles6WSommaire du Match
18 - 2019-09-1993Reign3Eagles5WSommaire du Match
24 - 2019-09-25114Eagles1Wild4LSommaire du Match
25 - 2019-09-26128Eagles1Wild7LSommaire du Match
31 - 2019-10-02150Roadrunners5Eagles4LSommaire du Match
32 - 2019-10-03165Roadrunners4Eagles3LSommaire du Match
38 - 2019-10-09190Eagles6Gulls7LSommaire du Match
39 - 2019-10-10204Eagles6Gulls9LSommaire du Match
42 - 2019-10-13213Heat6Eagles5LXSommaire du Match
43 - 2019-10-14222Heat5Eagles2LSommaire du Match
46 - 2019-10-17248Eagles4Condors5LXSommaire du Match
47 - 2019-10-18252Eagles1Barracuda8LSommaire du Match
49 - 2019-10-20256Eagles2Condors6LSommaire du Match
52 - 2019-10-23274Barracuda7Eagles3LSommaire du Match
53 - 2019-10-24288Barracuda8Eagles0LSommaire du Match
59 - 2019-10-30315Wild5Eagles4LXSommaire du Match
60 - 2019-10-31330Wild7Eagles0LSommaire du Match
66 - 2019-11-06360Gulls7Eagles3LSommaire du Match
67 - 2019-11-07375Gulls6Eagles2LSommaire du Match
70 - 2019-11-10382Eagles3Roadrunners5LSommaire du Match
71 - 2019-11-11389Eagles1Roadrunners7LSommaire du Match
74 - 2019-11-14412Eagles6Reign4WSommaire du Match
80 - 2019-11-20446Condors5Eagles4LSommaire du Match
81 - 2019-11-21463Condors4Eagles1LSommaire du Match
86 - 2019-11-26470Eagles2Barracuda3LSommaire du Match
89 - 2019-11-29500Eagles3Moose7LSommaire du Match
90 - 2019-11-30506Eagles5Moose4WSommaire du Match
94 - 2019-12-04528Eagles2Condors6LSommaire du Match
95 - 2019-12-05543Eagles3Heat4LSommaire du Match
101 - 2019-12-11572Condors2Eagles3WXSommaire du Match
102 - 2019-12-12587Condors7Eagles2LSommaire du Match
108 - 2019-12-18613Roadrunners4Eagles2LSommaire du Match
109 - 2019-12-19629Roadrunners3Eagles2LSommaire du Match
111 - 2019-12-21640Eagles2Heat6LSommaire du Match
113 - 2019-12-23652Eagles2Condors8LSommaire du Match
115 - 2019-12-25667Eagles5Reign3WSommaire du Match
116 - 2019-12-26681Eagles7Reign3WSommaire du Match
122 - 2020-01-01693Eagles1Roadrunners5LSommaire du Match
123 - 2020-01-02709Eagles2Roadrunners7LSommaire du Match
129 - 2020-01-08731Heat4Eagles1LSommaire du Match
130 - 2020-01-09746Heat3Eagles0LSommaire du Match
133 - 2020-01-12760Gulls5Eagles2LSommaire du Match
134 - 2020-01-13767Gulls7Eagles3LSommaire du Match
137 - 2020-01-16791Eagles3Heat6LSommaire du Match
138 - 2020-01-17803Eagles1Heat5LSommaire du Match
144 - 2020-01-23837Eagles7Reign4WSommaire du Match
147 - 2020-01-26848Rampage5Eagles2LSommaire du Match
148 - 2020-01-27854Rampage5Eagles1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-30880Roadrunners7Eagles3LSommaire du Match
152 - 2020-01-31886Roadrunners5Eagles4LSommaire du Match
157 - 2020-02-05908Eagles0Gulls11LSommaire du Match
158 - 2020-02-06922Eagles1Gulls4LSommaire du Match
161 - 2020-02-09933Reign5Eagles7WSommaire du Match
162 - 2020-02-10941Reign6Eagles5LXSommaire du Match
165 - 2020-02-13954Eagles2Barracuda4LSommaire du Match
166 - 2020-02-14971Eagles0Barracuda8LSommaire du Match
171 - 2020-02-19991Moose2Eagles6WSommaire du Match
172 - 2020-02-201005Moose5Eagles4LSommaire du Match
178 - 2020-02-261038Eagles3Roadrunners2WSommaire du Match
179 - 2020-02-271053Eagles0Roadrunners8LSommaire du Match
186 - 2020-03-051095Eagles1Wolves3LSommaire du Match
187 - 2020-03-061102Eagles1Wolves3LSommaire du Match
192 - 2020-03-111125Barracuda3Eagles1LSommaire du Match
193 - 2020-03-121139Barracuda5Eagles2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,874,306$ 191,889$ 42,890$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 199,383$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 14,778$ 0$




LigueDomicileVisiteur
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
1468105301400181358-177344260130093167-74346270010088191-1032618133751810666153120686916986754306182762613152383113.03%2596276.06%1645186634.57%785234233.52%376113633.10%11747992159494753316
Total Saison Régulière68105301400181358-177344260130093167-74346270010088191-1032618133751810666153120686916986754306182762613152383113.03%2596276.06%1645186634.57%785234233.52%376113633.10%11747992159494753316