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Lake Erie Monsters
GP: 10 | W: 6 | L: 4 | OTL: 0 | P: 12
GF: 62 | GA: 69 | PP%: 35.71% | PK%: 48.28%
DG: Remi Souliere | Morale : 66 | Moyenne d’équipe : 55
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Centre de jeu
Lake Erie Monsters
6-4-0, 12pts
8
FINAL
6 London Knights
3-5-2, 8pts
Team Stats
OTW1StreakL3
2-3-0Home Record3-2-0
4-1-0Away Record0-3-2
6-4-0Last 10 Games3-5-2
6.20Buts par match 6.10
6.90Buts contre par match 7.20
35.71%Pourcentage en avantage numérique40.00%
48.28%Pourcentage en désavantage numérique52.94%
Calgary Hitman
3-6-1, 7pts
7
FINAL
8 Lake Erie Monsters
6-4-0, 12pts
Team Stats
W1StreakOTW1
2-3-0Home Record2-3-0
1-3-1Away Record4-1-0
3-6-1Last 10 Games6-4-0
7.20Buts par match 6.20
8.30Buts contre par match 6.90
53.85%Pourcentage en avantage numérique35.71%
52.78%Pourcentage en désavantage numérique48.28%
Meneurs d'équipe
Will BittenButs
Will Bitten
5
Will BittenPasses
Will Bitten
12
Will BittenPoints
Will Bitten
17
Will BittenPlus/Moins
Will Bitten
-5

Statistiques d’équipe
Buts pour
62
6.20 GFG
Tirs pour
364
36.40 Avg
Pourcentage en avantage numérique
35.7%
10 GF
Début de zone offensive
30.7%
Buts contre
69
6.90 GAA
Tirs contre
292
29.20 Avg
Pourcentage en désavantage numérique
48.3%
15 GA
Début de la zone défensive
24.9%
Informations de l'équipe

Directeur généralRemi Souliere
EntraîneurAnders Sorensen
DivisionMark Messier
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure27
Limite contact 44 / 50
Espoirs51


Historique d'équipe

Saison actuelle6-4-0 (12PTS)
Historique116-99-23 (0.487%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)1-4
Coupe Stanley0


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
1Oskar Steen0X100.008144906865597360316559702546466550600242800,000$
2Jonatan Berggren (R)0XXX100.007569896969575665806561655844446550600211700,000$
3Turner Elson0X100.007367876567757961505760635744446350590292762,500$
4Lukas Elvenes0XX100.007265897065555461506256625344446150570221700,000$
5Will Bitten (R)0XX100.007466916366565658735557635444446150560232762,500$
6Ryan Suzuki (R)0X100.007065837765535356705058605544446050560212863,333$
7Ryan Olsen (R)0X100.007469866969383745563846594444445150500281700,000$
8Bob Carpenter0XX100.007872936572363544553844614244445050490251700,000$
9Joe Hicketts0X100.006963836763626457254653615049495950570261750,000$
10Tyler Tucker (R)0X100.007176586376636748254040593844445050550221808,333$
11Jacob Friend (R)0X100.006268496468383744253241533944444650490241700,000$
Rayé
1Eduards Tralmaks0XX100.0080788359785453607553626659444463505702500$
2Jan Drozg (R)0X100.0073668963665456505048486046444454505302300$
3Brandon Baddock0X100.0070824266826469485044465844444452505302700$
4Zachary Gallant (R)0X100.0071726761725051506349465944444453505202300$
5Mitchell Vande Sompel0X100.0075708862705658502546406138444453505502500$
MOYENNE D’ÉQUIPE100.00736879667054565450495161474444575055
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
Rayé
1Ryan Bednard (R)100.004440508645444549454545444445504902500$
MOYENNE D’ÉQUIPE100.0044405086454445494545454444455049
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Anders Sorensen69666966736878SWE47160,000$


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
1Will BittenLake Erie Monsters (CLF)C/RW1051217-50010158032476.25%321021.09145521000003021.09216143001.6100000311
2Joe HickettsLake Erie Monsters (CLF)D1001212-1240894025210.00%817117.120000000002000.00%039001.4000000032
3Dysin MayoGolden SealsD705501010663718230.00%614120.160000000002000.00%064000.7100110110
Statistiques d’équipe totales ou en moyenne2752934-171410243015775913.18%1752319.38145521000043067.13%2162316001.3000110453
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
Bob CarpenterLake Erie Monsters (CLF)C/LW251996-08-15No200 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Brandon BaddockLake Erie Monsters (CLF)LW271995-03-28No221 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Eduards TralmaksLake Erie Monsters (CLF)C/LW251997-02-17No209 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien
Jacob FriendLake Erie Monsters (CLF)D241997-07-28Yes182 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
Jan DrozgLake Erie Monsters (CLF)LW231999-04-01Yes174 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Joe HickettsLake Erie Monsters (CLF)D261996-05-04No180 Lbs5 ft8NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jonatan BerggrenLake Erie Monsters (CLF)C/LW/RW212000-07-16Yes194 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
Lukas ElvenesLake Erie Monsters (CLF)LW/RW221999-08-18No172 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Mitchell Vande SompelLake Erie Monsters (CLF)D251997-02-11No198 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Oskar SteenLake Erie Monsters (CLF)C241998-03-09No188 Lbs5 ft9NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Ryan BednardLake Erie Monsters (CLF)G251997-03-31Yes205 Lbs6 ft5NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Ryan OlsenLake Erie Monsters (CLF)C281994-03-25Yes187 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Ryan SuzukiLake Erie Monsters (CLF)C212001-05-28Yes176 Lbs6 ft0NoNoNo2Pro & Farm863,333$0$0$No863,333$Lien / Lien NHL
Turner ElsonLake Erie Monsters (CLF)LW291992-09-12No184 Lbs6 ft0NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien / Lien NHL
Tyler TuckerLake Erie Monsters (CLF)D222000-03-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm808,333$0$0$NoLien / Lien NHL
Will BittenLake Erie Monsters (CLF)C/RW231998-07-10Yes181 Lbs5 ft11NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien / Lien NHL
Zachary GallantLake Erie Monsters (CLF)C231999-03-06Yes194 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1724.29191 Lbs6 ft10.88485,098$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will Bitten40023
230023
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
144121
2Joe Hicketts33131
323131
40122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Will Bitten60005
240005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160005
2Joe Hicketts40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160041
240041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160230
2Joe Hicketts40230
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Joe Hicketts40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Will Bitten60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Joe Hicketts40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Will Bitten
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Joe Hicketts, Joe Hicketts
Tirs de pénalité
, , , Will Bitten,
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
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
1Calgary Hitman201010001113-2100010008711010000036-320.500112132001222244741291141165561313259333.33%4250.00%17716945.56%6813749.64%13324454.51%2241372019717883
2Chicoutimi Sagueneens1010000058-31010000058-30000000000000.000510150012222443712911411653913131011100.00%4175.00%07716945.56%6813749.64%13324454.51%2241372019717883
3London Knights320010002617910001000871220000001810861.0002648740012222441131291141165502244712541.67%20100.00%07716945.56%6813749.64%13324454.51%2241372019717883
4Sherbrooke Phoenix201010001121-1010100000314-111000100087120.500112132001222244741291141165108252434000.00%12650.00%07716945.56%6813749.64%13324454.51%2241372019717883
5TroisRivieres Lions20101000910-11010000035-21000100065120.50091827101222244661291141165391814366116.67%7614.29%17716945.56%6813749.64%13324454.51%2241372019717883
Total1024040006269-7503020002741-145210200035287120.6006211818010122224436412911411652929168152281035.71%291548.28%27716945.56%6813749.64%13324454.51%2241372019717883
_Since Last GM Reset1024040006269-7503020002741-145210200035287120.6006211818010122224436412911411652929168152281035.71%291548.28%27716945.56%6813749.64%13324454.51%2241372019717883
_Vs Conference923040005761-4402020002233-115210200035287120.667571081651012222443271291141165253785514227933.33%251444.00%27716945.56%6813749.64%13324454.51%2241372019717883
_Vs Division223040001113-2102020008711210200036-3123.000112132001222244741291141165561313259333.33%4250.00%17716945.56%6813749.64%13324454.51%2241372019717883

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1012OTW162118180364292916815210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
102440006269
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
50320002741
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52120003528
Derniers 10 matchs
WLOTWOTL SOWSOL
244000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
281035.71%291548.28%2
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
12911411651222244
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
7716945.56%6813749.64%13324454.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2241372019717883


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2022-09-255Sherbrooke Phoenix14Lake Erie Monsters3BLSommaire du match
2 - 2022-09-2621Lake Erie Monsters6TroisRivieres Lions5AWXSommaire du match
4 - 2022-09-2840Chicoutimi Sagueneens8Lake Erie Monsters5BLSommaire du match
6 - 2022-09-3067TroisRivieres Lions5Lake Erie Monsters3BLSommaire du match
7 - 2022-10-0172Lake Erie Monsters3Calgary Hitman6ALSommaire du match
9 - 2022-10-0393Lake Erie Monsters8Sherbrooke Phoenix7AWXSommaire du match
10 - 2022-10-04104London Knights7Lake Erie Monsters8BWXSommaire du match
11 - 2022-10-05114Lake Erie Monsters10London Knights4AWSommaire du match
13 - 2022-10-07138Lake Erie Monsters8London Knights6AWSommaire du match
14 - 2022-10-08146Calgary Hitman7Lake Erie Monsters8BWXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3010
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 824,666$ 824,666$ 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%275767719.49501191692100001332142.97141.82420
2Andrew Agozzino32424839264052108540516126019.68%176663820.4948100148116808820852.3081.93820
3Matt Puempel320256240496108544592384142417.98%216579318.114044841160000202046.76121.711628
4Jason Robertson164140184324-4024427621674418.82%140331120.19523688100000012445.8841.96416
5JC Lipon32016416032440504612348109215.02%96504615.7720284880000012046.77121.2844

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 Tarasov30300.8266.33180001910965100.00%0

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
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 régulière24295990121691111981236-38121385305979575634-591215746077226236022125911981947314560256461460359247274833093112137919730485299532863920632.24%75826764.78%142581513650.25%2653503752.67%2457472452.01%504727915095227745272236
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%79919.94336500001144.4412.2100
2Lukas Elvenes5549-275112123.81%39919.85314700000037.5001.8100
3Andrew Agozzino5167-1564714.29%210020.18156200000049.0301.3900
4JC Lipon5112-61473205.00%28216.4700000000000.00%00.4900
5Marko Dano5022-1495110.00%37415.00011000010033.3300.5300

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 Copley51310.8944.123060021199117000.00%0