Connexion

Thunder
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jean-Francois Lemelin | Morale : 50 | Moyenne d’équipe : 55
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJean-Francois Lemelin
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 50
Espoirs20


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 moyen
1Jayson MegnaXX100.00794493747257655867625577256161050620314560,000$
2Chris WagnerXX100.007471827771737859504960695767690506203041,000,000$
3Curtis McKenzieX100.00747669687665666350596068576061050610304560,000$
4Jack Drury (R)X100.00676375716362626379626060574444050590213925,000$
5Adam Beckman (R)X100.00746987686964665950585663534444050580202925,000$
6Gabriel Fortier (R)XX100.00894587666254826225505961254444050570213791,667$
7Ilya Nikolaev (R)X100.00484399686973955562544646485454050560204700,000$
8Ethan Keppen (R)X100.00817888637838374450384463424444050500203560,000$
9Artur Kayumov (R)XX100.00374545455334343745363645413230050390231750,000$
10Tobias BjornfotX100.00734396747371785725494776255757050640202925,000$
11Urho VaakanainenX100.00734389786978636025554777254848050640221925,000$
12Jacob LarssonX100.007472797772727950254240653863630506202411,000,000$
13Anthony BitettoX100.00788072708054565125404368416465050600311770,000$
14Nikita NesterovX100.00724383696963675425464469244747050590281700,000$
15Jett Woo (R)X100.00757477587454564725374160394444050540213860,833$
16Ole Bjorgvik Holm (R)X100.00727284607253564725403861384444050540194845,333$
17Jackson Lacombe (R)X100.00514799637459794225472947305454050530204825,000$
18Maxwell Crozier (R)X100.00494599647155724125403446365858050520214560,000$
Rayé
1Ryan O'Rourke (R)X100.00676974596958634525353757374444050530192886,667$
2Filip Johansson (R)X100.00474390636757803725273845425050050500213895,000$
3Antti Tuomisto (R)X100.00535199597852753125302745285454050490204825,000$
MOYENNE D’ÉQUIPE100.0067588466715967513746456038515105056
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 moyen
1Calvin Pickard100.0058445578646056636261305858050600291915,000$
2Jake Kielly (R)100.0046506278434549504445294441050500253700,000$
Rayé
1Olivier Rodrigue (R)100.0046445563464650534848304444050490213795,000$
2John Lethemon (R)100.0044405079454445494545454444050480254825,000$
3Samuel Ersson (R)100.0044405068454445494545454444050470213859,167$
MOYENNE D’ÉQUIPE100.004844547349484953494936474605051
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
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 moyen 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
Adam BeckmanThunder (Tam)LW202001-05-10Yes187 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Anthony Bitetto (contrat à 1 volet)Thunder (Tam)D311990-07-15No222 Lbs6 ft1NoNoYes1Pro & Farm770,000$0$0$NoLien
Antti TuomistoThunder (Tam)D202001-01-20Yes205 Lbs6 ft5NoNoNo4Pro & Farm825,000$0$0$No825,000$825,000$825,000$Lien
Artur KayumovThunder (Tam)LW/RW231998-02-14Yes176 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien
Calvin Pickard (contrat à 1 volet)Thunder (Tam)G291992-04-14No210 Lbs6 ft1NoNoYes1Pro & Farm915,000$15,000$0$NoLien
Chris Wagner (contrat à 1 volet)Thunder (Tam)LW/RW301991-05-26No198 Lbs6 ft0NoNoYes4Pro & Farm1,000,000$100,000$0$No1,000,000$1,000,000$1,000,000$Lien
Curtis McKenzie (contrat à 1 volet)Thunder (Tam)LW301991-02-22No205 Lbs6 ft2NoNoYes4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Lien
Ethan KeppenThunder (Tam)LW202001-03-20Yes212 Lbs6 ft2NoNoNo3Pro & Farm560,000$0$0$No560,000$560,000$Lien
Filip JohanssonThunder (Tam)D212000-03-23Yes181 Lbs6 ft1NoNoNo3Pro & Farm895,000$0$0$No895,000$895,000$Lien
Gabriel FortierThunder (Tam)C/LW212000-02-06Yes174 Lbs5 ft10NoNoNo3Pro & Farm791,667$0$0$No791,667$791,667$Lien
Ilya NikolaevThunder (Tam)C202001-06-26Yes190 Lbs6 ft0NoNoNo4Pro & Farm700,000$0$0$No700,000$700,000$700,000$Lien
Jack DruryThunder (Tam)C212000-02-03Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Jackson LacombeThunder (Tam)D202001-01-09Yes201 Lbs6 ft2NoNoNo4Pro & Farm825,000$0$0$No825,000$825,000$825,000$Lien
Jacob LarssonThunder (Tam)D241997-04-29No190 Lbs6 ft2NoNoYes1Pro & Farm1,000,000$0$0$NoLien
Jake KiellyThunder (Tam)G251996-09-10Yes201 Lbs6 ft2NoNoYes3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Jayson Megna (contrat à 1 volet)Thunder (Tam)C/RW311990-02-01No195 Lbs6 ft1NoNoYes4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Lien
Jett WooThunder (Tam)D212000-07-27Yes205 Lbs6 ft0NoNoNo3Pro & Farm860,833$0$0$No860,833$860,833$Lien
John LethemonThunder (Tam)G251996-08-15Yes196 Lbs6 ft3NoNoYes4Pro & Farm825,000$0$0$No825,000$825,000$825,000$
Maxwell CrozierThunder (Tam)D212000-04-19Yes194 Lbs6 ft2NoNoNo4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Lien
Nikita Nesterov (contrat à 1 volet)Thunder (Tam)D281993-03-28No191 Lbs5 ft11NoNoYes1Pro & Farm700,000$0$0$NoLien
Ole Bjorgvik HolmThunder (Tam)D192002-05-23Yes190 Lbs6 ft2NoNoNo4Pro & Farm845,333$0$0$No845,333$845,333$845,333$Lien
Olivier RodrigueThunder (Tam)G212000-07-06Yes170 Lbs6 ft1NoNoNo3Pro & Farm795,000$0$0$No795,000$795,000$Lien
Ryan O'RourkeThunder (Tam)D192002-05-16Yes181 Lbs6 ft2NoNoNo2Pro & Farm886,667$0$0$No886,667$Lien
Samuel ErssonThunder (Tam)G211999-10-20Yes176 Lbs6 ft2NoNoNo3Pro & Farm859,167$0$0$No859,167$859,167$Lien
Tobias BjornfotThunder (Tam)D202001-04-06No203 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Urho VaakanainenThunder (Tam)D221999-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2623.19193 Lbs6 ft12.77803,218$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris WagnerJayson MegnaArtur Kayumov40122
2Curtis McKenzieJack DruryIlya Nikolaev30122
3Adam BeckmanGabriel FortierEthan Keppen20122
4Ethan KeppenIlya NikolaevJayson Megna10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotOle Bjorgvik Holm40122
2Jacob LarssonAnthony Bitetto30122
3Nikita NesterovJett Woo20122
4Jackson LacombeTobias Bjornfot10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris WagnerJayson MegnaArtur Kayumov60122
2Curtis McKenzieJack DruryIlya Nikolaev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotNikita Nesterov60122
2Jacob LarssonAnthony Bitetto40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jayson MegnaChris Wagner60122
2Curtis McKenzieJack Drury40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotJett Woo60122
2Jacob LarssonAnthony Bitetto40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jayson Megna60122Tobias BjornfotJett Woo60122
2Chris Wagner40122Jacob LarssonAnthony Bitetto40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jayson MegnaChris Wagner60122
2Curtis McKenzieJack Drury40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tobias BjornfotNikita Nesterov60122
2Jacob LarssonAnthony Bitetto40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris WagnerJayson MegnaArtur KayumovTobias BjornfotJacob Larsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris WagnerJayson MegnaArtur KayumovTobias BjornfotJacob Larsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Beckman, Gabriel Fortier, Ethan KeppenAdam Beckman, Gabriel FortierEthan Keppen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxwell Crozier, Nikita Nesterov, Jett WooMaxwell CrozierNikita Nesterov, Jett Woo
Tirs de pénalité
Jayson Megna, Chris Wagner, Curtis McKenzie, Jack Drury, Adam Beckman
Gardien
#1 : Calvin Pickard, #2 : Jake Kielly


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 billets3515
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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,637,867$ 1,637,867$ 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$




Thunder 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

Thunder 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

Thunder 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

Thunder 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

Thunder 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