Connexion

Thunder
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jean-Francois Lemelin | Morale : 50 | Moyenne d’équipe : 53
Prochains matchs #3 vs Wolf Pack
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Thunder
0-0-0, 0pts
2022-10-11
Wolf Pack
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Thunder
0-0-0, 0pts
2022-10-14
Monsters
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Thunder
0-0-0, 0pts
2022-10-15
Manchots
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
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 Pro21
Équipe Mineure18
Limite contact 39 / 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
1Curtis McKenzieX100.00747669687665666350596068576061050610304560,000$
2Jack Drury (R)X100.00676375716362626379626060574444050590213925,000$
3Adam Beckman (R)X100.00746987686964665950585663534444050580202925,000$
4Gabriel Fortier (R)XX100.00894587666254826225505961254444050570213791,667$
5Ilya Nikolaev (R)X100.00484399686973955562544646485454050560204700,000$
6Ethan Keppen (R)X100.00817888637838374450384463424444050500203560,000$
7Artur Kayumov (R)XX100.00374545455334343745363645413230050390231750,000$
8Jacob LarssonX100.007472797772727950254240653863630506202411,000,000$
9Anthony BitettoX100.00788072708054565125404368416465050600311770,000$
10Nikita NesterovX100.00724383696963675425464469244747050590281700,000$
11Jett Woo (R)X100.00757477587454564725374160394444050540213860,833$
12Ole Bjorgvik Holm (R)X100.00727284607253564725403861384444050540194845,333$
13Ryan O'Rourke (R)X100.00676974596958634525353757374444050530192886,667$
14Jackson Lacombe (R)X100.00514799637459794225472947305454050530204825,000$
15Maxwell Crozier (R)X100.00494599647155724125403446365858050520214560,000$
16Filip Johansson (R)X100.00474390636757803725273845425050050500213895,000$
Rayé
1Antti Tuomisto (R)X100.00535199597852753125302745285454050490204825,000$
MOYENNE D’ÉQUIPE100.0065608364705766493644435740505005054
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
1Jake Kielly (R)100.0046506278434549504445294441050500253700,000$
2Olivier Rodrigue (R)100.0046445563464650534848304444050490213795,000$
Rayé
1John Lethemon (R)100.0044405079454445494545454444050480254825,000$
2Samuel Ersson (R)100.0044405068454445494545454444050470213859,167$
MOYENNE D’ÉQUIPE100.004544547245454750464637444305049
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$925,000$92,500$92,500$No925,000$Lien
Anthony BitettoThunder (Tam)D311990-07-15No222 Lbs6 ft1NoNoNo1Pro & Farm770,000$770,000$77,000$77,000$NoLien
Antti TuomistoThunder (Tam)D202001-01-20Yes205 Lbs6 ft5NoNoNo4Pro & Farm825,000$825,000$82,500$82,500$No825,000$825,000$825,000$Lien
Artur KayumovThunder (Tam)LW/RW231998-02-14Yes176 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$75,000$75,000$NoLien
Curtis McKenzieThunder (Tam)LW301991-02-22No205 Lbs6 ft2NoNoNo4Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$560,000$Lien
Ethan KeppenThunder (Tam)LW202001-03-20Yes212 Lbs6 ft2NoNoNo3Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$Lien
Filip JohanssonThunder (Tam)D212000-03-23Yes181 Lbs6 ft1NoNoNo3Pro & Farm895,000$895,000$89,500$89,500$No895,000$895,000$Lien
Gabriel FortierThunder (Tam)C/LW212000-02-06Yes174 Lbs5 ft10NoNoNo3Pro & Farm791,667$791,667$79,167$79,167$No791,667$791,667$Lien
Ilya NikolaevThunder (Tam)C202001-06-26Yes190 Lbs6 ft0NoNoNo4Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$700,000$Lien
Jack DruryThunder (Tam)C212000-02-03Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$92,500$92,500$No925,000$925,000$Lien
Jackson LacombeThunder (Tam)D202001-01-09Yes201 Lbs6 ft2NoNoNo4Pro & Farm825,000$825,000$82,500$82,500$No825,000$825,000$825,000$Lien
Jacob LarssonThunder (Tam)D241997-04-29No190 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$100,000$100,000$NoLien
Jake KiellyThunder (Tam)G251996-09-10Yes201 Lbs6 ft2NoNoNo3Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$Lien
Jett WooThunder (Tam)D212000-07-27Yes205 Lbs6 ft0NoNoNo3Pro & Farm860,833$860,833$86,083$86,083$No860,833$860,833$Lien
John LethemonThunder (Tam)G251996-08-15Yes196 Lbs6 ft3NoNoNo4Pro & Farm825,000$825,000$82,500$82,500$No825,000$825,000$825,000$
Maxwell CrozierThunder (Tam)D212000-04-19Yes194 Lbs6 ft2NoNoNo4Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$560,000$Lien
Nikita NesterovThunder (Tam)D281993-03-28No191 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$70,000$70,000$NoLien
Ole Bjorgvik HolmThunder (Tam)D192002-05-23Yes190 Lbs6 ft2NoNoNo4Pro & Farm845,333$845,333$84,533$84,533$No845,333$845,333$845,333$Lien
Olivier RodrigueThunder (Tam)G212000-07-06Yes170 Lbs6 ft1NoNoNo3Pro & Farm795,000$795,000$79,500$79,500$No795,000$795,000$Lien
Ryan O'RourkeThunder (Tam)D192002-05-16Yes181 Lbs6 ft2NoNoNo2Pro & Farm886,667$886,667$88,667$88,667$No886,667$Lien
Samuel ErssonThunder (Tam)G211999-10-20Yes176 Lbs6 ft2NoNoNo3Pro & Farm859,167$859,167$85,917$85,917$No859,167$859,167$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2122.43191 Lbs6 ft12.86788,508$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Adam Beckman30122
3Ethan Keppen20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Adam Beckman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Adam Beckman40122
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
2Adam Beckman40122
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
, Ethan Keppen, , Ethan Keppen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , Adam Beckman,
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
Total00000000000000000000000000000000000.000000000000000000000000.00%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
5 - 2022-10-113Thunder-Wolf Pack-
8 - 2022-10-1421Thunder-Monsters-
9 - 2022-10-1531Thunder-Manchots-
12 - 2022-10-1853Phantoms-Thunder-
15 - 2022-10-2171Thunder-Cabaret Lady Mary Ann-
16 - 2022-10-2281Sound Tigers-Thunder-
19 - 2022-10-25106Thunder-Monarchs-
20 - 2022-10-26110Thunder-Admirals-
23 - 2022-10-29128Thunder-Sharks-
26 - 2022-11-01148Senators-Thunder-
28 - 2022-11-03162Caroline-Thunder-
30 - 2022-11-05181Crunch-Thunder-
33 - 2022-11-08202Oil Kings-Thunder-
36 - 2022-11-11222Thunder-Bears-
38 - 2022-11-13242Bears-Thunder-
40 - 2022-11-15248Stars-Thunder-
42 - 2022-11-17260Heat-Thunder-
44 - 2022-11-19285Thunder-Chill-
46 - 2022-11-21291Bruins-Thunder-
50 - 2022-11-25328Chiefs-Thunder-
53 - 2022-11-28347Thunder-Crunch-
54 - 2022-11-29355Thunder-Bruins-
56 - 2022-12-01367Thunder-Phantoms-
58 - 2022-12-03385Marlies-Thunder-
61 - 2022-12-06405Cougars-Thunder-
63 - 2022-12-08421Chill-Thunder-
65 - 2022-12-10436Cabaret Lady Mary Ann-Thunder-
68 - 2022-12-13459Seattle-Thunder-
70 - 2022-12-15470Monsters-Thunder-
72 - 2022-12-17490Thunder-Rocket-
75 - 2022-12-20513Thunder-Marlies-
76 - 2022-12-21519Thunder-Cougars-
78 - 2022-12-23536Thunder-Crunch-
83 - 2022-12-28559Rocket-Thunder-
84 - 2022-12-29565Wolf Pack-Thunder-
86 - 2022-12-31583Jayhawks-Thunder-
89 - 2023-01-03605Thunder-Baby Hawks-
90 - 2023-01-04610Thunder-Minnesota-
92 - 2023-01-06624Thunder-Oceanics-
96 - 2023-01-10648Monsters-Thunder-
98 - 2023-01-12667Comets-Thunder-
100 - 2023-01-14688Thunder-Chiefs-
102 - 2023-01-16698Thunder-Seattle-
104 - 2023-01-18714Thunder-Comets-
105 - 2023-01-19725Thunder-Oil Kings-
107 - 2023-01-21733Thunder-Heat-
110 - 2023-01-24758Minnesota-Thunder-
112 - 2023-01-26771Bruins-Thunder-
114 - 2023-01-28791Monarchs-Thunder-
123 - 2023-02-06808Thunder-Cabaret Lady Mary Ann-
124 - 2023-02-07814Sharks-Thunder-
126 - 2023-02-09821Monsters-Thunder-
128 - 2023-02-11837Thunder-Stars-
131 - 2023-02-14862Thunder-Monsters-
132 - 2023-02-15865Thunder-Jayhawks-
135 - 2023-02-18895Thunder-Las Vegas-
138 - 2023-02-21908Admirals-Thunder-
140 - 2023-02-23921Crunch-Thunder-
142 - 2023-02-25942Thunder-Cougars-
143 - 2023-02-26951Thunder-Manchots-
145 - 2023-02-28960Cabaret Lady Mary Ann-Thunder-
147 - 2023-03-02977Manchots-Thunder-
150 - 2023-03-051001Thunder-Caroline-
152 - 2023-03-071014Phantoms-Thunder-
154 - 2023-03-091031Las Vegas-Thunder-
156 - 2023-03-111042Baby Hawks-Thunder-
157 - 2023-03-121057Oceanics-Thunder-
159 - 2023-03-141065Thunder-Spiders-
161 - 2023-03-161083Thunder-Spiders-
163 - 2023-03-181101Rocket-Thunder-
164 - 2023-03-191113Spiders-Thunder-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211126Thunder-Rocket-
168 - 2023-03-231139Thunder-Senators-
170 - 2023-03-251151Thunder-Bruins-
173 - 2023-03-281179Thunder-Caroline-
175 - 2023-03-301194Bears-Thunder-
177 - 2023-04-011209Sound Tigers-Thunder-
181 - 2023-04-051241Thunder-Wolf Pack-
182 - 2023-04-061249Thunder-Sound Tigers-
184 - 2023-04-081267Thunder-Senators-
187 - 2023-04-111289Marlies-Thunder-
189 - 2023-04-131300Cougars-Thunder-



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$ 1,655,867$ 1,655,867$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,715$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 8,715$ 1,655,850$




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