Connexion

Lake Erie Monsters
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Remi Souliere | Morale : 1 | Moyenne d’équipe : 55
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Meneurs d'équipe

Statistiques d’équipe
Information d’équipe

Directeur généralRemi Souliere
EntraîneurAndrew Brunette
DivisionMark Messier
ConférenceConference 2
CapitaineMicheal Haley
Assistant #1Lukas Elvenes
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 55
Espoirs48


Historique d'équipe

Saison actuelle0-0
Historique310-214-50 (0.540%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)1-4
Stanley Cup0


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
1Will Bitten (R)XX100.006760826660646561765959605644446172580221805,000$
2Lukas Elvenes (R) (A)XX100.00706583616571746150625661534444617158X0211776,667$
3Turner ElsonX100.007067786567677058506051614844445930570281750,000$
4Oskar SteenX100.007165856865646658735358615544446051570231809,167$
5Ryan Suzuki (R)X100.007565977765596055694957625444446050570203863,333$
6Eduards Tralmaks (R)XX100.008278915978504859745361675844446246570241700,000$
7Marko DanoXX100.007675787675545650504746654458585582560261700,000$
8Jan DrozgX100.007366896366646752504356615344445870550221809,166$
9Bob CarpenterXX100.007872926172525255694758645544445974550241700,000$
10Giorgio EstephanX100.007971965271586053665348644644445670540241700,000$
11Micheal Haley (C)XXX100.007794426672414250534854562562635963530351700,000$
12Brandon BaddockX100.006982396682596249504646584444445251530261750,000$
13Thomas Harley (R)X100.007473776673717559255153635044456190600193863,333$
14Dysin MayoX100.007673827073707245254250613851515257590241750,000$
15Zackary Hayes (R)X100.008080796480677347253741633944445380580222805,000$
16Joe HickettsX100.006963836763636654255340603849495476570252750,000$
17Alexander YelesinX100.007471816871596247253841603944445275560251700,000$
18Mikko Kokkonen (R)X100.007869995969545456255443644144445660560201700,000$
19Tyler Tucker (R)X100.007376665976616548254040603844445125550212808,333$
Rayé
1Zachary Gallant (R)X100.006770596270616549614745574344445235520221786,667$
2Albin Grewe (R)XX100.007165846365515249504844594244445235510201700,000$
3Patrick Harper (R)X100.006653956353505148604644564244445120500221925,000$
4Mitchell Vande Sompel (R)X100.007570876270434249254339613744445120530241725,000$
MOYENNE D’ÉQUIPE100.00737180647059615348494961454646565756
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
1Pheonix Copley100.005457718251575661585830464656775802911,100,000$
2Ryan Bednard (R)100.00565164865856546056553044445673570241817,500$
Rayé
1Daniil Tarasov (R)100.00505569804951505549493044445162530221925,000$
2Angus Redmond (R)100.00474759764646515348483044444850510251750,000$
MOYENNE D’ÉQUIPE100.0052536681515353575353304545536655
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brunette65707566716678CAN47160,000$


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
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


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Albin GreweLake Erie Monsters (CLF)LW/RW202001-03-22Yes176 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Alexander YelesinLake Erie Monsters (CLF)D251996-02-06No195 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Angus RedmondLake Erie Monsters (CLF)G251995-10-02Yes197 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien
Bob CarpenterLake Erie Monsters (CLF)C/LW241996-08-15No200 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Brandon BaddockLake Erie Monsters (CLF)LW261995-03-28No221 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Daniil TarasovLake Erie Monsters (CLF)G221999-03-27Yes185 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLien NHL
Dysin MayoLake Erie Monsters (CLF)D241996-08-17No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Eduards TralmaksLake Erie Monsters (CLF)C/LW241997-02-17Yes209 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien
Giorgio EstephanLake Erie Monsters (CLF)C241997-02-03No196 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jan DrozgLake Erie Monsters (CLF)LW221999-04-01No174 Lbs6 ft2NoNoNo1Pro & Farm809,166$0$0$NoLien / Lien NHL
Joe HickettsLake Erie Monsters (CLF)D251996-05-04No180 Lbs5 ft8NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Lukas ElvenesLake Erie Monsters (CLF)LW/RW211999-08-18Yes172 Lbs6 ft1NoYesNo1Pro & Farm776,667$0$0$NoLien
Marko DanoLake Erie Monsters (CLF)LW/RW261994-11-30No212 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Micheal HaleyLake Erie Monsters (CLF)C/LW/RW351986-03-30No202 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Mikko KokkonenLake Erie Monsters (CLF)D202001-01-18Yes194 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien NHL
Mitchell Vande SompelLake Erie Monsters (CLF)D241997-02-11Yes198 Lbs5 ft11NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Oskar SteenLake Erie Monsters (CLF)C231998-03-09No188 Lbs5 ft9NoNoNo1Pro & Farm809,167$0$0$NoLien / Lien NHL
Patrick HarperLake Erie Monsters (CLF)C221998-07-29Yes150 Lbs5 ft7NoNoNo1Pro & Farm925,000$0$0$NoLien NHL
Pheonix CopleyLake Erie Monsters (CLF)G291992-01-18No198 Lbs6 ft4NoNoNo1Pro & Farm1,100,000$0$0$NoLien / Lien NHL
Ryan BednardLake Erie Monsters (CLF)G241997-03-31Yes205 Lbs6 ft5NoNoNo1Pro & Farm817,500$0$0$NoLien / Lien NHL
Ryan SuzukiLake Erie Monsters (CLF)C202001-05-28Yes176 Lbs6 ft0NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien NHL
Thomas HarleyLake Erie Monsters (CLF)D192001-08-18Yes190 Lbs6 ft3NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien NHL
Turner ElsonLake Erie Monsters (CLF)LW281992-09-12No184 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Tyler TuckerLake Erie Monsters (CLF)D212000-03-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm808,333$0$0$No808,333$Lien NHL
Will BittenLake Erie Monsters (CLF)C/RW221998-07-10Yes168 Lbs5 ft10NoNoNo1Pro & Farm805,000$0$0$NoLien / Lien NHL
Zachary GallantLake Erie Monsters (CLF)C221999-03-06Yes188 Lbs6 ft2NoNoNo1Pro & Farm786,667$0$0$NoLien NHL
Zackary HayesLake Erie Monsters (CLF)D221999-04-24Yes218 Lbs6 ft3NoNoNo2Pro & Farm805,000$0$0$No805,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.67192 Lbs6 ft11.26784,043$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eduards TralmaksWill BittenLukas Elvenes40023
2Bob CarpenterMarko Dano30023
3Jan DrozgGiorgio EstephanMicheal Haley20122
4Brandon Baddock10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin Mayo44121
2Joe Hicketts33131
3Alexander YelesinMikko Kokkonen23131
4Dysin Mayo0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eduards TralmaksWill BittenLukas Elvenes60005
2Bob CarpenterMarko Dano40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160005
2Joe HickettsDysin Mayo40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Eduards TralmaksMarko Dano60041
2Giorgio EstephanJan Drozg40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160230
2Joe HickettsDysin Mayo40230
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Eduards Tralmaks6012260122
2Eduards Tralmaks40122Joe HickettsDysin Mayo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Will BittenLukas Elvenes60122
2Eduards Tralmaks40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Joe HickettsDysin Mayo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eduards TralmaksWill BittenLukas Elvenes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eduards TralmaksLukas Elvenes
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jan Drozg, , Micheal HaleyJan Drozg, Micheal Haley
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Yelesin, Mikko Kokkonen, Joe HickettsAlexander YelesinMikko Kokkonen, Joe Hicketts
Tirs de pénalité
, Eduards Tralmaks, Lukas Elvenes, Will Bitten, Jan Drozg
Gardien
#1 : , #2 : Ryan Bednard


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3010
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,116,917$ 2,116,917$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Lake Erie Monsters Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Lukas Elvenes39429440469871583557521168917.41%275767719.49501191692100001332142.97%141.82420
2Andrew Agozzino32424839264052108540516126019.68%176663820.4948100148116808820852.30%81.93820
3Matt Puempel320256240496108544592384142417.98%216579318.114044841160000202046.76%121.711628
4Jason Robertson164140184324-4024427621674418.82%140331120.19523688100000012445.88%41.96416
5JC Lipon32016416032440504612348109215.02%96504615.7720284880000012046.77%121.2844

Lake Erie Monsters 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
1Ryan Bednard1981187190.8754.881196526097477744745540.68945
2Pheonix Copley1015629160.8904.0261272041037382131420.48945
3Daniil Tarasov30300.8266.33180001910965100.0000

Lake Erie Monsters 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
Saison régulière
20168242270520643740730411916022022122075412311030042252002584437706114320103191138633361074121110254630901022193517492297934.50%1495761.74%41059199353.14%914172652.95%862164652.37%173296816957521539773
201782373502422371373-241181902002176188-12411916004201951851074371623994209213314273149103111079982430251022163920022257332.44%1435958.74%8960187351.25%789161748.79%752151149.77%174697216597411547774
2018824527052213963207641241402010195143524121130321120117724903966541050519416513012325710571194987282720914161718892477831.58%2026965.84%51033183056.45%828154753.52%817151254.03%1820104715957491530767
20198247260512144938762412712000202251893641201405101224198269444974211911295204143932029981197994243076980206518532279240.53%2859965.26%3887174050.98%890177550.14%807161050.12%173197517007551515742
202082323405443436447-1141131802233211230-194119160321022521788943670511412098168161153161927112710735531171033189618502197232.88%26610460.90%6880174350.49%886165553.53%855164651.94%172395517187631528759
202082323405443436447-1141131802233211230-194119160321022521788943670511412098168161153161927112710735531171033189618502197232.88%26610460.90%6880174350.49%886165553.53%855164651.94%172395517187631528759
202178313102815326342-1639121701513153174-21391914013021731685813265378632060125138529258941055966272963982150716282016230.85%2265973.89%2821165049.76%881172751.01%747143252.16%160088016587511470717
Total Saison régulière5702662140292515212851272312828512611401111101313831361222851401000181458146813621066012851467275231636401154101369221916908801871162592110869861255512821156752833.69%153755164.15%3465201257251.86%60741170251.91%56951100351.76%120796756117455275106605294
Séries éliminatoires
2020514000001521-62110000066030300000915-621522370046411624763484199671029523834.78%11372.73%06211354.87%5412244.26%338339.76%9852116509345
Total Séries éliminatoires514000001521-62110000066030300000915-621522370046411624763484199671029523834.78%11372.73%06211354.87%5412244.26%338339.76%9852116509345

Lake Erie Monsters Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Matt Puempel55611-110491926.32%79919.94336500001144.44%12.2100
2Lukas Elvenes5549-275112123.81%39919.85314700000037.50%01.8100
3Andrew Agozzino5167-1564714.29%210020.18156200000049.03%01.3900
4Marko Dano5022-1495110.00%37415.00011000010033.33%00.5300
5JC Lipon5112-61473205.00%28216.4700000000000.00%00.4900

Lake Erie Monsters 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
1Pheonix Copley51310.8944.123060021199117000.0000