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Connexion
Lake ErieLake Erie Lake Erie
55-17-2, 112pts · 2nd in Conference Ouest

Lake Erie
GP: 74 | W: 55 | L: 17 | OTL: 2 | P: 112
GF: 196 | GA: 114 | PP%: 38.35% | PK%: 83.87%
DG: Andrew Beer | Morale : 99 | Moyenne d’équipe : N/A
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Centre de jeu
Binghamton
35-27-12, 82pts
2
FINAL
3 Lake Erie
55-17-2, 112pts
Team Stats
SOL1StreakW2
17-12-8Home Record27-9-1
18-15-4Away Record28-8-1
3-4-3Last 10 Games7-2-1
1.59Buts par match 2.65
1.50Buts contre par match 1.54
18.36%Pourcentage en avantage numérique38.35%
80.27%Pourcentage en désavantage numérique83.87%
Lake Erie
55-17-2, 112pts
2
FINAL
1 Chicago
43-25-6, 92pts
Team Stats
W2StreakL2
27-9-1Home Record18-15-4
28-8-1Away Record25-10-2
7-2-1Last 10 Games4-5-1
2.65Buts par match 1.62
1.54Buts contre par match 1.53
38.35%Pourcentage en avantage numérique19.87%
83.87%Pourcentage en désavantage numérique76.69%
Meneurs d'équipe
Filip ZadinaButs
Filip Zadina
33
Passes
Joseph Veleno
56
Points
Joseph Veleno
85
Plus/Moins
Nikita Chibrikov
2

Statistiques d’équipe
Buts pour
196
2.65 GFG
Tirs pour
1661
22.45 Avg
Pourcentage en avantage numérique
38.4%
135 GF
Début de zone offensive
38.1%
Buts contre
114
1.54 GAA
Tirs contre
1253
16.93 Avg
Pourcentage en désavantage numérique
83.9%%
50 GA
Début de la zone défensive
32.1%
Informations de l'équipe

Directeur généralAndrew Beer
DivisionNord Ouest
ConférenceConference Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro10
Équipe Mineure21
Limite contact 31 / 250
Espoirs52


Historique d'équipe

Saison actuelle55-17-2 (112PTS)
Historique0-0-0


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
1Joseph VelenoX100.00795490827166987076656872256464729800231825,000$
2Mark KastelicXX100.00859972728648856476585866255959649100242835,000$
3Filip ZadinaXX100.007142918068656973356271702565657099002321,825,000$
4Raphael Lavoie (R)XX100.00747573687578826480576864654444679500231874,125$
5Oskar Olausson (R)X100.00726882666867695950516362604444628700202894,167$
6Nikita Chibrikov (R)XX100.00676278616270726250606160584444629900201545,000$
7Rem PitlickX100.007570867570798268506565696259596999002621,100,000$
8Calle RosenX100.00766992706973785525514067386162579700291762,500$
9Ilya Solovyov (R)X100.00787780667773804825384262404444548200231828,333$
10Colin MillerX100.008545837971678063254950712572736396003011,850,000$
Rayé
MOYENNE D’ÉQUIPE100.0076668372726980634956596642565664940
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
MOYENNE D’ÉQUIPE0.000000000000000000
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Joseph VelenoLake Erie (COL)C742956850523026511956612814.87%27144519.532242645421410162269159.19%16274564021.180112311198
2Filip ZadinaLake Erie (COL)LW/RW74333972011535212567816812.89%19137418.582530555521200041506141.22%1317368111.050200119911
3Rem PitlickLake Erie (COL)RW74273764-2132703223165489816.36%14145719.6919274641213011421810552.08%965169000.880142811711
4Raphael LavoieLake Erie (COL)C/RW74193756-5155953543153478512.42%10110714.961727443118300031164262.03%7483445011.01011054763
5Mark KastelicLake Erie (COL)C/RW74203555-537518542131684911011.90%11108514.66123042291670002765055.07%692949001.0101101413749
6Nikita ChibrikovLake Erie (COL)LW/RW741822402126903822111416416.22%17124716.861016262818300041307248.39%932946000.640144103610
7Calle RosenLake Erie (COL)D74111728-1137105253054152020.37%47185325.04910191723700022224325.00%81145000.3000849365
8Colin MillerLake Erie (COL)D7452227-3842051308131416.17%54184324.9151520142360001195100.00%28162000.2900121677
9Oskar OlaussonLake Erie (COL)RW747613-581552615215861473.26%24149920.264486840002502141.88%1175038100.1701371465
10Ilya SolovyovLake Erie (COL)D744610026218018213071313.33%28147019.8744881960002197100.00%2499000.140071019113
Statistiques d’équipe totales ou en moyenne740173277450-191415835328269142846887412.11%2511438419.441272053322831929112301584491557.55%2893324785240.6308485069727172
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 Salaire restantPlafond 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
Calle RosenLake Erie (COL)D291994-02-01No185 Lbs6 ft1NoNoNo1Pro & Farm762,500$0$0$NoLien / Lien NHL
Colin MillerLake Erie (COL)D301992-10-29No194 Lbs6 ft1NoNoNo1Pro & Farm1,850,000$0$0$NoLien / Lien NHL
Filip ZadinaLake Erie (COL)LW/RW231999-11-27No189 Lbs6 ft0NoNoNo2Pro & Farm1,825,000$0$0$No1,825,000$Lien / Lien NHL
Ilya SolovyovLake Erie (COL)D232000-07-20Yes207 Lbs6 ft3NoNoNo1Pro & Farm828,333$0$0$NoLien
Joseph VelenoLake Erie (COL)C232000-01-13No191 Lbs6 ft1NoNoNo1Pro & Farm825,000$0$0$NoLien
Mark KastelicLake Erie (COL)C/RW241999-03-10No222 Lbs6 ft4NoNoNo2Pro & Farm835,000$0$0$No835,000$Lien / Lien NHL
Nikita ChibrikovLake Erie (COL)LW/RW202003-02-16Yes170 Lbs5 ft10NoNoNo1Pro & Farm545,000$0$0$NoLien
Oskar OlaussonLake Erie (COL)RW202002-10-11Yes180 Lbs6 ft1NoNoNo2Pro & Farm894,167$0$0$No894,167$Lien / Lien NHL
Raphael LavoieLake Erie (COL)C/RW232000-09-25Yes196 Lbs6 ft4NoNoNo1Pro & Farm874,125$0$0$NoLien
Rem PitlickLake Erie (COL)RW261997-04-02No196 Lbs5 ft11NoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1024.10193 Lbs6 ft11.401,033,913$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ZadinaJoseph VelenoRem Pitlick40122
2Nikita ChibrikovRaphael LavoieMark Kastelic30122
3Oskar Olausson20122
4Rem PitlickJoseph VelenoFilip Zadina10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerCalle Rosen40122
2Ilya Solovyov30122
320122
4Colin MillerCalle Rosen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ZadinaJoseph VelenoRem Pitlick60122
2Nikita ChibrikovRaphael LavoieMark Kastelic40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerCalle Rosen60122
2Ilya Solovyov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joseph VelenoRem Pitlick60122
2Filip ZadinaRaphael Lavoie40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerCalle Rosen60122
2Ilya Solovyov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joseph Veleno60122Colin MillerCalle Rosen60122
2Rem Pitlick40122Ilya Solovyov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joseph VelenoRem Pitlick60122
2Filip ZadinaRaphael Lavoie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colin MillerCalle Rosen60122
2Ilya Solovyov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ZadinaJoseph VelenoRem PitlickColin MillerCalle Rosen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ZadinaJoseph VelenoRem PitlickColin MillerCalle Rosen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oskar Olausson, Mark Kastelic, Nikita ChibrikovOskar Olausson, Mark KastelicNikita Chibrikov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ilya Solovyov, Colin Miller, Calle RosenIlya SolovyovColin Miller, Calle Rosen
Tirs de pénalité
Joseph Veleno, Rem Pitlick, Filip Zadina, Raphael Lavoie, Mark Kastelic
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
1Albany22000000633110000003121100000032141.000611170030728684937460566327285391411654.55%7271.43%0706127455.42%618107557.49%56099656.22%12086982298530950471
2Binghamton22000000734110000003211100000041341.000713200030728685137460566327401159144250.00%120100.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
3Bridgeport31200000642211000005231010000012-120.333691501307286884374605663273818621911436.36%11372.73%0706127455.42%618107557.49%56099656.22%12086982298530950471
4Charlotte Checkers22000000532110000003211100000021141.000591400307286850374605663273013482113430.77%9277.78%0706127455.42%618107557.49%56099656.22%12086982298530950471
5Chicago330000001028110000004042200000062461.000101727013072868703746056632739121692417741.18%17194.12%0706127455.42%618107557.49%56099656.22%12086982298530950471
6Chicago Wolf22000000413110000002111100000020241.00048120130728684937460566327321068158337.50%40100.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
7Grand Rapids21000100550110000002111000010034-130.7505914003072868413746056632731895176466.67%10460.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
8Hamilton21001000642100010004311100000021141.000611170030728683937460566327331243109444.44%14378.57%0706127455.42%618107557.49%56099656.22%12086982298530950471
9Hartford201010003301010000012-11000100021120.500369003072868333746056632735115013300.00%100100.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
10Hersey21100000220110000002021010000002-220.50023501307286840374605663273811431412216.67%100100.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
11Hershey2020000004-41010000002-21010000002-200.00000000307286822374605663272910526800.00%11372.73%0706127455.42%618107557.49%56099656.22%12086982298530950471
12Houston41200010541201000103302110000021140.500561101307286860374605663276324452416425.00%150100.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
13Iowa21100000862110000005231010000034-120.500814220030728684837460566327318751612541.67%50100.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
14Lowell211000003301010000012-11100000021120.5003580030728685137460566327283631510110.00%9188.89%0706127455.42%618107557.49%56099656.22%12086982298530950471
15Manchester22000000716110000005051100000021141.0007101701307286844374605663273315871411545.45%110100.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
16Manitoba431000001037220000004132110000062460.75010172702307286885374605663277315762719736.84%13284.62%0706127455.42%618107557.49%56099656.22%12086982298530950471
17Milwaukee22000000514110000003031100000021141.000571201307286847374605663272773469444.44%70100.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
18Norfolk211000007521010000014-31100000061520.5007121900307286862374605663273510881112650.00%9188.89%0706127455.42%618107557.49%56099656.22%12086982298530950471
19Peroria21001000743110000004221000100032141.00071320003072868393746056632733115099444.44%10280.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
20Philadelphie21001000963110000004221000100054141.000916250030728685037460566327349281313753.85%9277.78%0706127455.42%618107557.49%56099656.22%12086982298530950471
21Portland22000000725110000004131100000031241.000712190030728685237460566327351348811654.55%40100.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
22Providence32001000936220000005051000100043161.00091524023072868673746056632747111142416743.75%12191.67%0706127455.42%618107557.49%56099656.22%12086982298530950471
23Quad City431000001284220000008442110000044060.75012193110307286894374605663276224882124937.50%14657.14%0706127455.42%618107557.49%56099656.22%12086982298530950471
24Rochester22000000505110000003031100000020241.000591402307286838374605663273075579444.44%50100.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
25Rochester210001003301000010023-11100000010130.750358013072868393746056632737144675240.00%9188.89%1706127455.42%618107557.49%56099656.22%12086982298530950471
26Rockford Icehogs20002000752100010004311000100032141.000713200030728685337460566327309801111436.36%10370.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
27Springfield53200000121112110000056-13210000075260.6001221330030728681263746056632715744854026830.77%14471.43%0706127455.42%618107557.49%56099656.22%12086982298530950471
28Syracuse22000000835110000003211100000051441.0008122000307286852374605663273010972013430.77%13284.62%0706127455.42%618107557.49%56099656.22%12086982298530950471
29Toronto22000000826110000004041100000042241.0008122001307286854374605663272781031511545.45%9188.89%0706127455.42%618107557.49%56099656.22%12086982298530950471
30Wilkes Barre2110000035-21010000003-31100000032120.5003580030728683137460566327361049114250.00%7357.14%0706127455.42%618107557.49%56099656.22%12086982298530950471
31Worchester211000007521010000034-11100000041320.500712190030728684137460566327321150139555.56%10370.00%0706127455.42%618107557.49%56099656.22%12086982298530950471
Total74471707210196114823724902110100584237238051009656401120.75719633152711530728681661374605663271253384208947935213538.35%3105083.87%1706127455.42%618107557.49%56099656.22%12086982298530950471
_Since Last GM Reset74471707210196114823724902110100584237238051009656401120.75719633152711530728681661374605663271253384208947935213538.35%3105083.87%1706127455.42%618107557.49%56099656.22%12086982298530950471
_Vs Conference3925903110107634419143010105831272011602100493217590.7561071772841630728688723746056632770522310012612017537.31%1552881.94%0706127455.42%618107557.49%56099656.22%12086982298530950471

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
74112W2196331527166112533842089479115
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7447177210196114
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
37249211010058
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3723851009656
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
35213538.35%3105083.87%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
374605663273072868
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
706127455.42%618107557.49%56099656.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12086982298530950471


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
2 - 2024-10-0110Lake Erie3Springfield1AWSommaire du match
3 - 2024-10-0225Providence0Lake Erie1BWSommaire du match
5 - 2024-10-0446Manitoba0Lake Erie1BWSommaire du match
7 - 2024-10-0662Lake Erie4Chicago1AWSommaire du match
9 - 2024-10-0876Springfield2Lake Erie3BWSommaire du match
10 - 2024-10-0989Lake Erie1Quad City3ALSommaire du match
12 - 2024-10-11110Quad City2Lake Erie3BWSommaire du match
14 - 2024-10-13121Lake Erie2Houston0AWSommaire du match
15 - 2024-10-14140Lake Erie1Bridgeport2ALSommaire du match
17 - 2024-10-16153Lake Erie1Manitoba2ALSommaire du match
18 - 2024-10-17159Bridgeport2Lake Erie1BLSommaire du match
20 - 2024-10-19180Houston1Lake Erie2BWXXSommaire du match
21 - 2024-10-20194Lake Erie2Springfield3ALSommaire du match
23 - 2024-10-22213Toronto0Lake Erie4BWSommaire du match
25 - 2024-10-24230Hamilton3Lake Erie4BWXSommaire du match
27 - 2024-10-26245Lake Erie4Providence3AWXSommaire du match
29 - 2024-10-28266Lake Erie2Hamilton1AWSommaire du match
30 - 2024-10-29279Providence0Lake Erie4BWSommaire du match
32 - 2024-10-31296Lake Erie2Hartford1AWXSommaire du match
34 - 2024-11-02311Grand Rapids1Lake Erie2BWSommaire du match
36 - 2024-11-04328Rochester0Lake Erie3BWSommaire du match
38 - 2024-11-06341Lake Erie2Rochester0AWSommaire du match
40 - 2024-11-08358Lake Erie2Chicago Wolf0AWSommaire du match
42 - 2024-11-10375Rochester3Lake Erie2BLXSommaire du match
44 - 2024-11-12390Lake Erie2Lowell1AWSommaire du match
45 - 2024-11-13403Charlotte Checkers2Lake Erie3BWSommaire du match
47 - 2024-11-15423Wilkes Barre3Lake Erie0BLSommaire du match
49 - 2024-11-17436Lake Erie3Wilkes Barre2AWSommaire du match
51 - 2024-11-19456Lowell2Lake Erie1BLSommaire du match
53 - 2024-11-21473Lake Erie2Springfield1AWSommaire du match
54 - 2024-11-22488Peroria2Lake Erie4BWSommaire du match
57 - 2024-11-25512Lake Erie0Hershey2ALSommaire du match
58 - 2024-11-26525Worchester4Lake Erie3BLSommaire du match
60 - 2024-11-28539Lake Erie3Peroria2AWXSommaire du match
61 - 2024-11-29553Lake Erie0Hersey2ALSommaire du match
62 - 2024-11-30567Rockford Icehogs3Lake Erie4BWXSommaire du match
64 - 2024-12-02584Lake Erie2Manchester1AWSommaire du match
66 - 2024-12-04600Bridgeport0Lake Erie4BWSommaire du match
67 - 2024-12-05616Lake Erie2Charlotte Checkers1AWSommaire du match
69 - 2024-12-07631Chicago Wolf1Lake Erie2BWSommaire du match
71 - 2024-12-09648Norfolk4Lake Erie1BLSommaire du match
73 - 2024-12-11666Lake Erie5Philadelphie4AWXSommaire du match
74 - 2024-12-12682Lake Erie3Quad City1AWSommaire du match
76 - 2024-12-14693Quad City2Lake Erie5BWSommaire du match
77 - 2024-12-15712Philadelphie2Lake Erie4BWSommaire du match
79 - 2024-12-17728Lake Erie2Milwaukee1AWSommaire du match
81 - 2024-12-19746Manitoba1Lake Erie3BWSommaire du match
83 - 2024-12-21761Lake Erie0Houston1ALSommaire du match
84 - 2024-12-22776Iowa2Lake Erie5BWSommaire du match
86 - 2024-12-24788Lake Erie5Manitoba0AWSommaire du match
88 - 2024-12-26812Portland1Lake Erie4BWSommaire du match
89 - 2024-12-27823Lake Erie4Toronto2AWSommaire du match
91 - 2024-12-29841Chicago0Lake Erie4BWSommaire du match
92 - 2024-12-30852Lake Erie3Iowa4ALSommaire du match
94 - 2025-01-01873Hersey0Lake Erie2BWSommaire du match
96 - 2025-01-03886Lake Erie5Syracuse1AWSommaire du match
98 - 2025-01-05907Springfield4Lake Erie2BLSommaire du match
100 - 2025-01-07920Lake Erie3Albany2AWSommaire du match
101 - 2025-01-08934Lake Erie4Worchester1AWSommaire du match
102 - 2025-01-09944Lake Erie3Rockford Icehogs2AWXSommaire du match
104 - 2025-01-11958Syracuse2Lake Erie3BWSommaire du match
105 - 2025-01-12978Hershey2Lake Erie0BLSommaire du match
107 - 2025-01-14988Lake Erie1Rochester0AWSommaire du match
109 - 2025-01-161012Albany1Lake Erie3BWSommaire du match
112 - 2025-01-191037Hartford2Lake Erie1BLSommaire du match
113 - 2025-01-201048Lake Erie3Grand Rapids4ALXSommaire du match
115 - 2025-01-221068Manchester0Lake Erie5BWSommaire du match
118 - 2025-01-251096Milwaukee0Lake Erie3BWSommaire du match
119 - 2025-01-261102Lake Erie6Norfolk1AWSommaire du match
120 - 2025-01-271110Lake Erie3Portland1AWSommaire du match
123 - 2025-01-301124Lake Erie4Binghamton1AWSommaire du match
125 - 2025-02-011138Houston2Lake Erie1BLSommaire du match
129 - 2025-02-051159Binghamton2Lake Erie3BWSommaire du match
130 - 2025-02-061165Lake Erie2Chicago1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
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
10,417,491$ 10,339,125$ 10,339,125$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 10,417,491$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 78,327$ 0$




Lake Erie 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

Lake Erie 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

Lake Erie 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

Lake Erie 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

Lake Erie 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