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Connexion
Lake ErieLake Erie Lake Erie
28-10-1, 57pts · 2nd in Conference Ouest

Lake Erie
GP: 39 | W: 28 | L: 10 | OTL: 1 | P: 57
GF: 89 | GA: 59 | PP%: 35.09% | PK%: 82.32%
DG: Andrew Beer | Morale : 79 | Moyenne d’équipe : N/A
Prochains matchs #631 vs Chicago Wolf
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Centre de jeu
Bridgeport
25-6-7, 57pts
0
FINAL
4 Lake Erie
28-10-1, 57pts
Team Stats
W1StreakW4
13-3-4Home Record14-4-1
12-3-3Away Record14-6-0
8-1-1Last 10 Games7-3-0
1.79Buts par match 2.28
1.16Buts contre par match 1.51
23.64%Pourcentage en avantage numérique35.09%
83.33%Pourcentage en désavantage numérique82.32%
Lake Erie
28-10-1, 57pts
2
FINAL
1 Charlotte Checkers
17-17-5, 39pts
Team Stats
W4StreakL1
14-4-1Home Record7-8-5
14-6-0Away Record10-9-0
7-3-0Last 10 Games2-7-1
2.28Buts par match 1.36
1.51Buts contre par match 1.67
35.09%Pourcentage en avantage numérique18.82%
82.32%Pourcentage en désavantage numérique78.05%
Chicago Wolf
19-16-3, 41pts
2024-12-07
Lake Erie
28-10-1, 57pts
Statistiques d’équipe
W3SéquenceW4
10-8-2Fiche domicile14-4-1
9-8-1Fiche visiteur14-6-0
5-5-010 derniers matchs7-3-0
1.42Buts par match 2.28
1.34Buts contre par match 2.28
17.95%Pourcentage en avantage numérique35.09%
85.38%Pourcentage en désavantage numérique82.32%
Norfolk
17-20-3, 37pts
2024-12-09
Lake Erie
28-10-1, 57pts
Statistiques d’équipe
OTL1SéquenceW4
8-9-2Fiche domicile14-4-1
9-11-1Fiche visiteur14-6-0
4-4-210 derniers matchs7-3-0
1.13Buts par match 2.28
1.43Buts contre par match 2.28
18.52%Pourcentage en avantage numérique35.09%
75.93%Pourcentage en désavantage numérique82.32%
Lake Erie
28-10-1, 57pts
2024-12-11
Philadelphie
24-12-4, 52pts
Statistiques d’équipe
W4SéquenceW3
14-4-1Fiche domicile11-6-2
14-6-0Fiche visiteur13-6-2
7-3-010 derniers matchs7-3-0
2.28Buts par match 1.75
1.51Buts contre par match 1.75
35.09%Pourcentage en avantage numérique18.75%
82.32%Pourcentage en désavantage numérique78.62%
Meneurs d'équipe
Rem PitlickButs
Rem Pitlick
14
Passes
Joseph Veleno
26
Points
Joseph Veleno
38
Plus/Moins
Ilya Solovyov
4

Statistiques d’équipe
Buts pour
89
2.28 GFG
Tirs pour
832
21.33 Avg
Pourcentage en avantage numérique
35.1%
60 GF
Début de zone offensive
38.1%
Buts contre
59
1.51 GAA
Tirs contre
681
17.46 Avg
Pourcentage en désavantage numérique
82.3%%
29 GA
Début de la zone défensive
32.2%
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 actuelle28-10-1 (57PTS)
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 VelenoX100.00795490827166987076656872256464728400231825,000$
2Mark KastelicXX100.00859972728648856476585866255959646800242835,000$
3Filip ZadinaXX100.007142918068656973356271702565657085002321,825,000$
4Raphael Lavoie (R)XX100.00747573687578826480576864654444678600231874,125$
5Oskar Olausson (R)X100.00726882666867695950516362604444628400202894,167$
6Nikita Chibrikov (R)XX100.00676278616270726250606160584444628300201545,000$
7Rem PitlickX100.007570867570798268506565696259596984002621,100,000$
8Calle RosenX100.00766992706973785525514067386162578700291762,500$
9Ilya Solovyov (R)X100.00787780667773804825384262404444548200231828,333$
10Colin MillerX100.008545837971678063254950712572736384003011,850,000$
Rayé
MOYENNE D’ÉQUIPE100.0076668372726980634956596642565664830
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)C39122638-128201426106306411.32%1576419.60918272811010161174061.10%8382537000.99011215113
2Rem PitlickLake Erie (COL)RW39141933-25830161276265818.42%777819.951214262111101121114353.33%453134000.8501114836
3Filip ZadinaLake Erie (COL)LW/RW39141731-1002312130337410.77%1073518.87111324241120003824142.11%764438010.8401000865
4Raphael LavoieLake Erie (COL)C/RW3991625-27945161877284811.69%357214.698122019970002632163.34%3712228010.8701621332
5Mark KastelicLake Erie (COL)C/RW3961521-42151052686824568.82%556014.38313169810001442050.00%321629000.7501399206
6Nikita ChibrikovLake Erie (COL)LW/RW39961517860161353193116.98%763716.3444810960001735154.35%461219000.4701246245
7Calle RosenLake Erie (COL)D394913-27155111224101116.67%2497925.12257512600011190325.00%4081000.2700425330
8Colin MillerLake Erie (COL)D3931013-4581025173915217.69%3394324.193710101250001102100.00%0472000.2800011235
9Oskar OlaussonLake Erie (COL)RW39538-12315141211443714.39%1979820.483253460001312135.82%673222100.2001120434
10Ilya SolovyovLake Erie (COL)D39235486601011175711.76%1678720.2021351000001106100.00%1153000.1300327112
Statistiques d’équipe totales ou en moyenne39078124202-1269640017114170423344111.08%139755819.385789146134100711219851251058.72%1480187413120.5307212534383738
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$369,697$0$0$NoLien / Lien NHL
Colin MillerLake Erie (COL)D301992-10-29No194 Lbs6 ft1NoNoNo1Pro & Farm1,850,000$896,970$0$0$NoLien / Lien NHL
Filip ZadinaLake Erie (COL)LW/RW231999-11-27No189 Lbs6 ft0NoNoNo2Pro & Farm1,825,000$884,848$0$0$No1,825,000$Lien / Lien NHL
Ilya SolovyovLake Erie (COL)D232000-07-20Yes207 Lbs6 ft3NoNoNo1Pro & Farm828,333$401,616$0$0$NoLien
Joseph VelenoLake Erie (COL)C232000-01-13No191 Lbs6 ft1NoNoNo1Pro & Farm825,000$400,000$0$0$NoLien
Mark KastelicLake Erie (COL)C/RW241999-03-10No222 Lbs6 ft4NoNoNo2Pro & Farm835,000$404,848$0$0$No835,000$Lien / Lien NHL
Nikita ChibrikovLake Erie (COL)LW/RW202003-02-16Yes170 Lbs5 ft10NoNoNo1Pro & Farm545,000$264,242$0$0$NoLien
Oskar OlaussonLake Erie (COL)RW202002-10-11Yes180 Lbs6 ft1NoNoNo2Pro & Farm894,167$433,536$0$0$No894,167$Lien / Lien NHL
Raphael LavoieLake Erie (COL)C/RW232000-09-25Yes196 Lbs6 ft4NoNoNo1Pro & Farm874,125$423,818$0$0$NoLien
Rem PitlickLake Erie (COL)RW261997-04-02No196 Lbs5 ft11NoNoNo2Pro & Farm1,100,000$533,333$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
1Bridgeport31200000642211000005231010000012-120.333691501103538684185316316233818621911436.36%11372.73%036165555.11%32855459.21%29751258.01%6163531250275488242
2Charlotte Checkers22000000532110000003211100000021141.000591400103538650185316316233013482113430.77%9277.78%036165555.11%32855459.21%29751258.01%6163531250275488242
3Chicago11000000413000000000001100000041321.00047110010353863018531631623154112108337.50%60100.00%036165555.11%32855459.21%29751258.01%6163531250275488242
4Chicago Wolf11000000202000000000001100000020221.00024601103538624185316316231571254125.00%10100.00%036165555.11%32855459.21%29751258.01%6163531250275488242
5Grand Rapids11000000211110000002110000000000021.00024600103538619185316316231423693133.33%3166.67%036165555.11%32855459.21%29751258.01%6163531250275488242
6Hamilton21001000642100010004311100000021141.000611170010353863918531631623331243109444.44%14378.57%036165555.11%32855459.21%29751258.01%6163531250275488242
7Hartford10001000211000000000001000100021121.0002460010353861618531631623206357200.00%50100.00%036165555.11%32855459.21%29751258.01%6163531250275488242
8Hersey1010000002-2000000000001010000002-200.0000000010353861418531631623236255500.00%50100.00%036165555.11%32855459.21%29751258.01%6163531250275488242
9Hershey1010000002-2000000000001010000002-200.00000000103538691853163162384353300.00%5180.00%036165555.11%32855459.21%29751258.01%6163531250275488242
10Houston21000010413100000102111100000020241.0004590110353863418531631623297231711327.27%90100.00%036165555.11%32855459.21%29751258.01%6163531250275488242
11Lowell211000003301010000012-11100000021120.5003580010353865118531631623283631510110.00%9188.89%036165555.11%32855459.21%29751258.01%6163531250275488242
12Manchester11000000211000000000001100000021121.00023500103538621185316316231993263133.33%60100.00%036165555.11%32855459.21%29751258.01%6163531250275488242
13Manitoba21100000220110000001011010000012-120.500235011035386351853163162341103594250.00%10190.00%036165555.11%32855459.21%29751258.01%6163531250275488242
14Peroria21001000743110000004221000100032141.00071320001035386391853163162333115099444.44%10280.00%036165555.11%32855459.21%29751258.01%6163531250275488242
15Providence32001000936220000005051000100043161.00091524021035386671853163162347111142416743.75%12191.67%036165555.11%32855459.21%29751258.01%6163531250275488242
16Quad City2110000045-1110000003211010000013-220.500461010103538642185316316233213221112325.00%6350.00%036165555.11%32855459.21%29751258.01%6163531250275488242
17Rochester22000000505110000003031100000020241.000591402103538638185316316233075579444.44%50100.00%036165555.11%32855459.21%29751258.01%6163531250275488242
18Rochester1000010023-11000010023-10000000000010.500235001035386191853163162316133432150.00%7185.71%136165555.11%32855459.21%29751258.01%6163531250275488242
19Rockford Icehogs10001000431100010004310000000000021.000471100103538631185316316231555246350.00%6266.67%036165555.11%32855459.21%29751258.01%6163531250275488242
20Springfield431000001073110000003213210000075260.750101727001035386931853163162312435702619842.11%10370.00%036165555.11%32855459.21%29751258.01%6163531250275488242
21Toronto11000000404110000004040000000000021.0004610011035386261853163162315336104250.00%30100.00%036165555.11%32855459.21%29751258.01%6163531250275488242
22Wilkes Barre2110000035-21010000003-31100000032120.5003580010353863118531631623361049114250.00%7357.14%036165555.11%32855459.21%29751258.01%6163531250275488242
23Worchester1010000034-11010000034-10000000000000.00035800103538620185316316232032534250.00%5260.00%036165555.11%32855459.21%29751258.01%6163531250275488242
Total3922100511089593019114021104930192011603000402911570.731891502391910353868321853163162368121210682441716035.09%1642982.32%136165555.11%32855459.21%29751258.01%6163531250275488242
_Since Last GM Reset3922100511089593019114021104930192011603000402911570.731891502391910353868321853163162368121210682441716035.09%1642982.32%136165555.11%32855459.21%29751258.01%6163531250275488242
_Vs Conference1911502010433310961010102517810540100018162280.737437211512103538639818531631623380114418120893134.83%791679.75%036165555.11%32855459.21%29751258.01%6163531250275488242

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3957W489150239832681212106824419
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
39221051108959
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1911421104930
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2011630004029
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1716035.09%1642982.32%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
185316316231035386
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
36165555.11%32855459.21%29751258.01%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
6163531250275488242


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 Wolf-Lake Erie-
71 - 2024-12-09648Norfolk-Lake Erie-
73 - 2024-12-11666Lake Erie-Philadelphie-
74 - 2024-12-12682Lake Erie-Quad City-
76 - 2024-12-14693Quad City-Lake Erie-
77 - 2024-12-15712Philadelphie-Lake Erie-
79 - 2024-12-17728Lake Erie-Milwaukee-
81 - 2024-12-19746Manitoba-Lake Erie-
83 - 2024-12-21761Lake Erie-Houston-
84 - 2024-12-22776Iowa-Lake Erie-
86 - 2024-12-24788Lake Erie-Manitoba-
88 - 2024-12-26812Portland-Lake Erie-
89 - 2024-12-27823Lake Erie-Toronto-
91 - 2024-12-29841Chicago-Lake Erie-
92 - 2024-12-30852Lake Erie-Iowa-
94 - 2025-01-01873Hersey-Lake Erie-
96 - 2025-01-03886Lake Erie-Syracuse-
98 - 2025-01-05907Springfield-Lake Erie-
100 - 2025-01-07920Lake Erie-Albany-
101 - 2025-01-08934Lake Erie-Worchester-
102 - 2025-01-09944Lake Erie-Rockford Icehogs-
104 - 2025-01-11958Syracuse-Lake Erie-
105 - 2025-01-12978Hershey-Lake Erie-
107 - 2025-01-14988Lake Erie-Rochester-
109 - 2025-01-161012Albany-Lake Erie-
112 - 2025-01-191037Hartford-Lake Erie-
113 - 2025-01-201048Lake Erie-Grand Rapids-
115 - 2025-01-221068Manchester-Lake Erie-
118 - 2025-01-251096Milwaukee-Lake Erie-
119 - 2025-01-261102Lake Erie-Norfolk-
120 - 2025-01-271110Lake Erie-Portland-
123 - 2025-01-301124Lake Erie-Binghamton-
125 - 2025-02-011138Houston-Lake Erie-
129 - 2025-02-051159Binghamton-Lake Erie-
130 - 2025-02-061165Lake Erie-Chicago-



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
18 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
5,326,236$ 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$ 5,326,236$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 64 78,327$ 5,012,928$




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