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Thunder
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jean-Francois Lemelin | Morale : 50 | Moyenne d’équipe : 58
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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 Pro25
Équipe Mineure20
Limite contact 45 / 50
Espoirs22


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
1Juho LammikkoXX100.00724491717258785382555475245858050630261700,000$
2Pontus Holmberg (R)X100.00624769727675636562636162665250050630233827,500$
3Adam Beckman (R)X100.00584471705962616543596057655050050600211925,000$
4Chris WagnerXX100.005452626462717164575759536365570506003131,000,000$
5Gabriel Fortier (R)X100.00604469715864636357615661635150050600222791,667$
6Nathan ToddX100.00574569676165625955545457605550050580262811,111$
7John Beecher (R)X100.00675263626961605951575359595050050580213925,000$
8Blade Jenkins (R)X100.00634571636661595640515255575050050560222600,000$
9Ilya Nikolaev (R)X100.00604068626359575447535356575050050560213700,000$
10Blake Murray (R)X100.00604068626357575747545454575050050560213791,667$
11Marcus Bjork (R)X100.0062475970808064694066646768515005066N0243620,000$
12Jackson LaCombe (R)X100.00574071698080606440606063655150050640213825,000$
13Jett Woo (R)X100.00655556696662616240575568625050050620222860,833$
14Jacob LarssonX100.00594964676467666240585362615450050610253900,000$
15Ryan O'Rourke (R)X100.00624070686260616040565366605050050610201886,667$
16Maxwell Crozier (R)X100.00624064656459585640545362585150050590223560,000$
17Ole Bjorgvik Holm (R)X100.00614069646459585740545360585050050580203845,333$
Rayé
1Ethan Keppen (R)X100.00625163596659595740545454575050050560212560,000$
2Artur Kayumov (R)XX100.00354544445331313544333344393230050390242800,000$
3Filip Johansson (R)X100.00444388626752743525253544405050050490222895,000$
4Antti Tuomisto (R)X100.00505197587848692925282544275454050490213825,000$
MOYENNE D’ÉQUIPE100.0059456965666162564553525856515005058
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
1Samuel Ersson (R)100.0075646373707272737369685250050650222859,167$
2Oskari Salminen (R)100.0066636671686870666967615150050620233855,000$
Rayé
1Olivier Rodrigue (R)100.0071606056636569666765545050050590222795,000$
2John Lethemon (R)100.0062585765615858536059555350050550263825,000$
MOYENNE D’ÉQUIPE100.006961626666666765676560525005060
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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Adam BeckmanThunder (Tam)LW212001-05-10Yes168 Lbs6 ft1NoNoNoNo1Pro & Farm925,000$726,786$0$0$NoLien
Antti TuomistoThunder (Tam)D212001-01-20Yes205 Lbs6 ft5NoNoNoNo3Pro & Farm825,000$648,214$0$0$No825,000$825,000$Lien
Artur KayumovThunder (Tam)LW/RW241998-02-14Yes176 Lbs5 ft11NoNoYesNo2Pro & Farm800,000$628,571$0$0$No800,000$Lien
Blade JenkinsThunder (Tam)LW222000-08-11Yes198 Lbs6 ft2NoNoNoNo2Pro & Farm600,000$471,429$0$0$No600,000$Lien
Blake MurrayThunder (Tam)C212001-07-05Yes187 Lbs6 ft2NoNoNoNo3Pro & Farm791,667$622,024$0$0$No791,667$791,667$
Chris Wagner (contrat à 1 volet)Thunder (Tam)C/RW311991-05-27No196 Lbs6 ft0NoNoYesNo3Pro & Farm1,000,000$785,714$100,000$78,571$No1,000,000$1,000,000$Lien
Ethan KeppenThunder (Tam)LW212001-03-20Yes209 Lbs6 ft2NoNoNoNo2Pro & Farm560,000$440,000$0$0$No560,000$Lien
Filip JohanssonThunder (Tam)D222000-03-23Yes181 Lbs6 ft1NoNoNoNo2Pro & Farm895,000$703,214$0$0$No895,000$Lien
Gabriel FortierThunder (Tam)LW222000-02-06Yes172 Lbs5 ft10NoNoNoNo2Pro & Farm791,667$622,024$0$0$No791,667$Lien
Ilya NikolaevThunder (Tam)C212001-06-26Yes190 Lbs6 ft0NoNoNoNo3Pro & Farm700,000$550,000$0$0$No700,000$700,000$Lien
Jackson LaCombeThunder (Tam)D212001-01-09Yes205 Lbs6 ft2NoNoNoNo3Pro & Farm825,000$648,214$0$0$No825,000$825,000$Lien
Jacob LarssonThunder (Tam)D251997-04-29No190 Lbs6 ft2NoNoYesNo3Pro & Farm900,000$707,143$0$0$No900,000$900,000$Lien
Jett WooThunder (Tam)D222000-07-27Yes205 Lbs6 ft0NoNoNoNo2Pro & Farm860,833$676,369$0$0$No860,833$Lien
John BeecherThunder (Tam)C212001-04-05Yes209 Lbs6 ft3NoNoNoNo3Pro & Farm925,000$726,786$0$0$No925,000$925,000$Lien
John LethemonThunder (Tam)G261996-08-15Yes196 Lbs6 ft3NoNoYesNo3Pro & Farm825,000$648,214$0$0$No825,000$825,000$Lien
Juho LammikkoThunder (Tam)C/LW261996-01-29No191 Lbs6 ft2NoNoYesNo1Pro & Farm700,000$550,000$0$0$NoLien
Marcus Bjork (contrat à 1 volet)Thunder (Tam)D241997-11-24Yes211 Lbs6 ft4YesNoYesNo3Pro & Farm620,000$487,143$0$0$No620,000$620,000$Lien
Maxwell CrozierThunder (Tam)D222000-04-19Yes194 Lbs6 ft1NoNoNoNo3Pro & Farm560,000$440,000$0$0$No560,000$560,000$Lien
Nathan ToddThunder (Tam)C261995-12-02No176 Lbs6 ft0NoNoYesNo2Pro & Farm811,111$637,302$0$0$No811,111$Lien
Ole Bjorgvik HolmThunder (Tam)D202002-05-23Yes190 Lbs6 ft2NoNoNoNo3Pro & Farm845,333$664,190$0$0$No845,333$845,333$Lien
Olivier RodrigueThunder (Tam)G222000-07-06Yes159 Lbs6 ft1NoNoNoNo2Pro & Farm795,000$624,643$0$0$No795,000$Lien
Oskari SalminenThunder (Tam)G231999-09-22Yes220 Lbs6 ft4NoNoNoNo3Pro & Farm855,000$671,786$0$0$No855,000$855,000$
Pontus HolmbergThunder (Tam)C231999-03-09Yes202 Lbs6 ft0NoNoNoNo3Pro & Farm827,500$650,179$0$0$No827,500$827,500$
Ryan O'RourkeThunder (Tam)D202002-05-16Yes179 Lbs6 ft0NoNoNoNo1Pro & Farm886,667$696,667$0$0$NoLien
Samuel ErssonThunder (Tam)G221999-10-20Yes176 Lbs6 ft2NoNoNoNo2Pro & Farm859,167$675,060$0$0$No859,167$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2522.76191 Lbs6 ft12.40799,358$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%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%000%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%000%000%
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%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,836,395$ 1,836,395$ 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$ 11 0$ 0$




Thunder Leaders statistiques des joueurs (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 des joueurs (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