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Thunder
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Marc-André Blondeau | Morale : 40 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMarc-André Blondeau
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 250
Espoirs65


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
1Dylan HollowayX100.00876379777176506369556960505964040690231925,000$
2Emil BemstromX100.00605190736676617150606761506766040690251900,000$
3Wade AllisonX100.00866483737460556145516359516663040680275820,000$
4Liam FoudyX100.00545168727272307550605554446684040660243750,000$
5Nikita Chibrikov (R)X100.00905090625576306837507050435574040650213867,500$
6Jack StudnickaX100.00705188636871365574525560456757040630252750,000$
7Jacob PetersonX100.00575081636678305556505062316356040610252775,000$
8Aidan McDonoughX100.00565081737460555531505550306055040610251925,000$
9Cole KoepkeX100.00755090637172305535575152326259040610261842,500$
10Mike HardmanX100.00795090737460555534505050306452040610252750,000$
11Jiri Kulich (R)X100.00575090716780305537505050305454040600203950,000$
12Vladimir TkachevX100.00425076735460555530595050306361040600294925,000$
13Lukas RousekX100.00495090635876315536535155326158040590251775,000$
14Colin MillerX100.0074538063707657564060626640826504069N03251,700,000$
15David JiricekX100.00585285728180536040685764505765040690213950,000$
16Declan ChisholmX100.00515779636977446040656265386263040670243775,000$
17Dennis CholowskiX100.00425255737560558037565451306992040660261900,000$
18Filip RoosX100.00675090637780305536505053316156040630251925,000$
19Kyle CapobiancoX100.00515078737360555530505550337256040610275775,000$
20Jordan GrossX100.00495086735960555530505853367060040610293750,000$
21Ian MitchellX100.00485069636580305535555159326559040610251775,000$
22Robin SaloX100.00485080737160555530515752346360040610261750,000$
23Stuart PercyX100.00444555736760555530505050305463040590311575,000$
24Brogan RaffertyX100.00444555736660555530505050305461040590293750,000$
Rayé
1Fredrik KarlstromX100.00445090737660555530505050306352040590261750,000$
2Joseph BlandisiX100.00444555736160555530505050305462040580302700,000$
3Marc MichaelisX100.00444555736160555530505050305461040580293700,000$
4Brayden TraceyX100.00395090736260555530505050305747040580231925,000$
5Jake BischoffX100.00444555736960555530505050305462040590302700,000$
6Julius HonkaX100.00444555736160555530505050305461040580293700,000$
MOYENNE D’ÉQUIPE100.0057507770686847583853555435626204062
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
1Jack LaFontaine100.0063306580555750555052505554040570264838,500$
Rayé
MOYENNE D’ÉQUIPE100.006330658055575055505250555404057
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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Aidan McDonoughThunder (WIN)LW251999-11-06No190 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Brayden TraceyThunder (WIN)LW232001-05-28No177 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Brogan RaffertyThunder (WIN)D291995-05-28No195 Lbs6 ft0NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Cole KoepkeThunder (WIN)LW261998-05-17No203 Lbs6 ft1NoNoN/ANoNo1Pro & Farm842,500$842,500$0$0$No------------------
Colin MillerThunder (WIN)D321992-10-29No200 Lbs6 ft1YesNoAssign ManuallyNoNo52024-10-10Pro & Farm1,700,000$1,700,000$0$0$No1,700,000$1,700,000$1,700,000$1,700,000$-----YesYesYesYes-----
David JiricekThunder (WIN)D212003-11-28No207 Lbs6 ft4NoNoN/ANoNo3Pro & Farm950,000$950,000$0$0$No950,000$855,000$-------NoNo-------
Declan ChisholmThunder (WIN)D242000-01-12No190 Lbs6 ft1NoNoN/ANoNo32024-08-14Pro & Farm775,000$775,000$0$0$No775,000$775,000$-------NoNo-------
Dennis CholowskiThunder (WIN)D261998-02-15No210 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$900,000$0$0$No------------------
Dylan HollowayThunder (WIN)LW232001-09-23No206 Lbs6 ft1NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Emil BemstromThunder (WIN)RW251999-06-01No195 Lbs6 ft0NoNoN/ANoNo12024-08-14Pro & Farm900,000$900,000$0$0$No------------------
Filip RoosThunder (WIN)D251999-01-05No190 Lbs6 ft4NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Fredrik KarlstromThunder (WIN)C261998-01-12No200 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$750,000$0$0$No------------------
Ian MitchellThunder (WIN)D251999-01-18No192 Lbs6 ft0NoNoN/ANoNo12024-08-14Pro & Farm775,000$775,000$0$0$No------------------
Jack LaFontaineThunder (WIN)G261998-01-06No204 Lbs6 ft2NoNoN/ANoNo4Pro & Farm838,500$838,500$0$0$No838,500$838,500$838,500$------NoNoNo------
Jack StudnickaThunder (WIN)C251999-02-18No187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Jacob PetersonThunder (WIN)C251999-07-19No180 Lbs6 ft1NoNoN/ANoNo22024-08-14Pro & Farm775,000$775,000$0$0$No775,000$--------No--------
Jake BischoffThunder (WIN)D301994-07-25No194 Lbs6 ft1NoNoN/ANoNo2Pro & Farm700,000$700,000$0$0$No700,000$--------No--------
Jiri KulichThunder (WIN)C202004-04-14Yes186 Lbs6 ft1NoNoTrade (Prospect)NoNo32024-08-08Pro & Farm950,000$950,000$0$0$No950,000$950,000$-------NoNo-------
Jordan GrossThunder (WIN)D291995-05-09No190 Lbs5 ft10NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Joseph BlandisiThunder (WIN)LW301994-07-18No187 Lbs5 ft11NoNoN/ANoNo2Pro & Farm700,000$700,000$0$0$No700,000$--------No--------
Julius HonkaThunder (WIN)D291995-12-03No186 Lbs5 ft11NoNoN/ANoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$-------NoNo-------
Kyle CapobiancoThunder (WIN)D271997-08-13No201 Lbs6 ft2NoNoN/ANoNo52024-08-14Pro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Liam FoudyThunder (WIN)LW242000-02-04No193 Lbs6 ft2NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Lukas RousekThunder (WIN)RW251999-04-20No171 Lbs5 ft11NoNoN/ANoNo1Pro & Farm775,000$775,000$0$0$No------------------
Marc MichaelisThunder (WIN)C291995-07-31No187 Lbs5 ft11NoNoN/ANoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$-------NoNo-------
Mike HardmanThunder (WIN)RW251999-02-05No205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Nikita ChibrikovThunder (WIN)RW212003-02-16Yes170 Lbs5 ft10NoNoTrade (Prospect)NoNo32024-08-08Pro & Farm867,500$867,500$0$0$No867,500$867,500$-------NoNo-------
Robin SaloThunder (WIN)D261998-10-13No190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$750,000$0$0$No------------------
Stuart PercyThunder (WIN)D311993-05-18No187 Lbs6 ft1NoNoN/ANoNo1Pro & Farm575,000$575,000$0$0$No------------------
Vladimir TkachevThunder (WIN)LW291995-10-05No165 Lbs5 ft10NoNoN/ANoNo4Pro & Farm925,000$925,000$0$0$No925,000$925,000$925,000$------NoNoNo------
Wade AllisonThunder (WIN)RW271997-10-14No205 Lbs6 ft2NoNoN/ANoNo52024-08-14Pro & Farm820,000$820,000$0$0$No820,000$820,000$820,000$820,000$-----NoNoNoNo-----
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3126.06192 Lbs6 ft12.32835,274$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
134122
230122
326122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
134122
230122
326122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
151122
249122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
151122
249122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
151122
249122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
151122
249122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15112251122
24912249122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
151122
249122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
151122
249122
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
0000000000000
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 billets350
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 0$ 0$ 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 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