Connexion

Thunder
GP: 60 | W: 6 | L: 48 | OTL: 6 | P: 18
GF: 119 | GA: 262 | PP%: 9.80% | PK%: 75.00%
DG: Jean-Francois Lemelin | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #930 vs Phantoms
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Centre de jeu
Thunder
6-48-6, 18pts
2
FINAL
3 Sound Tigers
32-18-7, 71pts
Team Stats
OTL1SéquenceW5
4-22-3Fiche domicile18-8-4
2-26-3Fiche domicile14-10-3
0-8-2Derniers 10 matchs8-2-0
1.98Buts par match 2.30
4.37Buts contre par match 2.07
9.80%Pourcentage en avantage numérique16.67%
75.00%Pourcentage en désavantage numérique83.82%
Thunder
6-48-6, 18pts
2
FINAL
3 Spiders
33-22-3, 69pts
Team Stats
OTL1SéquenceW3
4-22-3Fiche domicile19-11-1
2-26-3Fiche domicile14-11-2
0-8-2Derniers 10 matchs7-2-1
1.98Buts par match 2.43
4.37Buts contre par match 1.98
9.80%Pourcentage en avantage numérique14.12%
75.00%Pourcentage en désavantage numérique88.89%
Thunder
6-48-6, 18pts
2024-02-27
Phantoms
24-28-7, 55pts
Statistiques d’équipe
OTL1SéquenceL1
4-22-3Fiche domicile16-10-3
2-26-3Fiche visiteur8-18-4
0-8-210 derniers matchs6-3-1
1.98Buts par match 1.93
4.37Buts contre par match 1.93
9.80%Pourcentage en avantage numérique10.24%
75.00%Pourcentage en désavantage numérique88.95%
Crunch
25-27-6, 56pts
2024-02-29
Thunder
6-48-6, 18pts
Statistiques d’équipe
W1SéquenceOTL1
14-14-2Fiche domicile4-22-3
11-13-4Fiche visiteur2-26-3
4-5-110 derniers matchs0-8-2
2.22Buts par match 1.98
2.64Buts contre par match 1.98
12.42%Pourcentage en avantage numérique9.80%
82.80%Pourcentage en désavantage numérique75.00%
Rocket
26-26-6, 58pts
2024-03-02
Thunder
6-48-6, 18pts
Statistiques d’équipe
L1SéquenceOTL1
13-15-2Fiche domicile4-22-3
13-11-4Fiche visiteur2-26-3
3-5-210 derniers matchs0-8-2
2.05Buts par match 1.98
2.60Buts contre par match 1.98
12.18%Pourcentage en avantage numérique9.80%
85.14%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Blade Jenkins
5
Passes
John Beecher
4
Points
John Beecher
9
Plus/Moins
John Beecher
4

Statistiques d’équipe
Buts pour
119
1.98 GFG
Tirs pour
1458
24.30 Avg
Pourcentage en avantage numérique
9.8%
15 GF
Début de zone offensive
35.0%
Buts contre
262
4.37 GAA
Tirs contre
1926
32.10 Avg
Pourcentage en désavantage numérique
75.0%%
28 GA
Début de la zone défensive
43.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,888
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 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$
8Ethan Keppen (R)X100.00625163596659595740545454575050050560212560,000$
9Urho VaakanainenX100.00614383738485746840636067676959050680233900,000$
10Marcus Bjork (R)X100.0062475970808064694066646768515005066N0243620,000$
11Jackson LaCombe (R)X100.00574071698080606440606063655150050640213825,000$
12Taylor FedunX100.00554470656270716240555462607470050620341450,000$
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
1Blade Jenkins (R)X100.00634571636661595640515255575050050560222600,000$
2Ilya Nikolaev (R)X100.00604068626359575447535356575050050560213700,000$
3Blake Murray (R)X100.00604068626357575747545454575050050560213791,667$
4Artur Kayumov (R)XX100.00354544445331313544333344393230050390242800,000$
5Filip Johansson (R)X100.00444388626752743525253544405050050490222895,000$
6Antti Tuomisto (R)X100.00505197587848692925282544275454050490213825,000$
MOYENNE D’ÉQUIPE100.0059457065676362574553535956535105058
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
1John BeecherThunder (Tam)C435494200455640152612.50%555913.000115300000231152.15%46600000.3211000102
2Blade JenkinsThunder (Tam)LW285380401817243720.83%028210.0811217000050046.67%1500000.5700000101
Statistiques d’équipe totales ou en moyenne71107174240637364183315.63%584111.851236380000291151.98%48100000.4011000203
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$255,339$0$0$NoLien
Antti TuomistoThunder (Tam)D212001-01-20Yes205 Lbs6 ft5NoNoNoNo3Pro & Farm825,000$227,734$0$0$No825,000$825,000$Lien
Artur KayumovThunder (Tam)LW/RW241998-02-14Yes176 Lbs5 ft11NoNoYesYes2Pro & Farm800,000$220,833$0$0$No800,000$Lien
Blade JenkinsThunder (Tam)LW222000-08-11Yes198 Lbs6 ft2NoNoNoNo2Pro & Farm600,000$165,625$0$0$No600,000$Lien
Blake MurrayThunder (Tam)C212001-07-05Yes187 Lbs6 ft2NoNoNoNo3Pro & Farm791,667$218,533$0$0$No791,667$791,667$
Chris Wagner (contrat à 1 volet)Thunder (Tam)C/RW311991-05-27No196 Lbs6 ft0NoNoYesYes3Pro & Farm1,000,000$276,042$100,000$27,604$No1,000,000$1,000,000$Lien
Ethan KeppenThunder (Tam)LW212001-03-20Yes209 Lbs6 ft2NoNoNoNo2Pro & Farm560,000$154,583$0$0$No560,000$Lien
Filip JohanssonThunder (Tam)D222000-03-23Yes181 Lbs6 ft1NoNoNoNo2Pro & Farm895,000$247,057$0$0$No895,000$Lien
Gabriel FortierThunder (Tam)LW222000-02-06Yes172 Lbs5 ft10NoNoNoNo2Pro & Farm791,667$218,533$0$0$No791,667$Lien
Ilya NikolaevThunder (Tam)C212001-06-26Yes190 Lbs6 ft0NoNoNoNo3Pro & Farm700,000$193,229$0$0$No700,000$700,000$Lien
Jackson LaCombeThunder (Tam)D212001-01-09Yes205 Lbs6 ft2NoNoNoNo3Pro & Farm825,000$227,734$0$0$No825,000$825,000$Lien
Jacob LarssonThunder (Tam)D251997-04-29No190 Lbs6 ft2NoNoYesYes3Pro & Farm900,000$248,438$0$0$No900,000$900,000$Lien
Jett WooThunder (Tam)D222000-07-27Yes205 Lbs6 ft0NoNoNoNo2Pro & Farm860,833$237,626$0$0$No860,833$Lien
John BeecherThunder (Tam)C212001-04-05Yes209 Lbs6 ft3NoNoNoNo3Pro & Farm925,000$255,339$0$0$No925,000$925,000$Lien
John LethemonThunder (Tam)G261996-08-15Yes196 Lbs6 ft3NoNoYesYes3Pro & Farm825,000$227,734$0$0$No825,000$825,000$Lien
Juho LammikkoThunder (Tam)C/LW261996-01-29No191 Lbs6 ft2NoNoYesYes1Pro & Farm700,000$193,229$0$0$NoLien
Marcus Bjork (contrat à 1 volet)Thunder (Tam)D241997-11-24Yes211 Lbs6 ft4YesNoYesYes3Pro & Farm620,000$171,146$0$0$No620,000$620,000$Lien
Maxwell CrozierThunder (Tam)D222000-04-19Yes194 Lbs6 ft1NoNoNoNo3Pro & Farm560,000$154,583$0$0$No560,000$560,000$Lien
Nathan ToddThunder (Tam)C261995-12-02No176 Lbs6 ft0NoNoYesYes2Pro & Farm811,111$223,900$0$0$No811,111$Lien
Ole Bjorgvik HolmThunder (Tam)D202002-05-23Yes190 Lbs6 ft2NoNoNoNo3Pro & Farm845,333$233,347$0$0$No845,333$845,333$Lien
Olivier RodrigueThunder (Tam)G222000-07-06Yes159 Lbs6 ft1NoNoNoNo2Pro & Farm795,000$219,453$0$0$No795,000$Lien
Oskari SalminenThunder (Tam)G231999-09-22Yes220 Lbs6 ft4NoNoNoNo3Pro & Farm855,000$236,016$0$0$No855,000$855,000$
Pontus HolmbergThunder (Tam)C231999-03-09Yes202 Lbs6 ft0NoNoNoNo3Pro & Farm827,500$228,424$0$0$No827,500$827,500$
Ryan O'RourkeThunder (Tam)D202002-05-16Yes179 Lbs6 ft0NoNoNoNo1Pro & Farm886,667$244,757$0$0$NoLien
Samuel ErssonThunder (Tam)G221999-10-20Yes176 Lbs6 ft2NoNoNoNo2Pro & Farm859,167$237,166$0$0$No859,167$Lien
Taylor Fedun (contrat à 1 volet)Thunder (Tam)D341988-06-04No201 Lbs6 ft1NoNoYesYes1Pro & Farm450,000$124,219$0$0$NoLien
Urho VaakanainenThunder (Tam)D231999-01-01No200 Lbs6 ft2NoNoNoNo3Pro & Farm900,000$248,438$0$0$No900,000$900,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.19192 Lbs6 ft12.37790,146$



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
1Admirals1010000018-71010000018-70000000000000.000123004638352235144744592043151011200.00%4175.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
2Baby Hawks20200000310-71010000026-41010000014-300.00035800463835238514474459205413623500.00%3166.67%0518147535.12%627183334.21%31391234.32%9356352004454679265
3Bears2020000037-41010000024-21010000013-200.00035800463835247514474459204619635400.00%3233.33%0518147535.12%627183334.21%31391234.32%9356352004454679265
4Bruins30200100515-101010000004-420100100511-610.167510150046383525251447445920962984212216.67%40100.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
5Cabaret Lady Mary Ann20200000612-620200000612-60000000000000.000612180046383526151447445920519143210330.00%7357.14%0518147535.12%627183334.21%31391234.32%9356352004454679265
6Caroline3120000047-32110000034-11010000013-220.33347110046383527951447445920743325421000.00%8187.50%0518147535.12%627183334.21%31391234.32%9356352004454679265
7Chiefs2020000038-51010000014-31010000024-200.00036900463835241514474459205782295120.00%10100.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
8Chill21100000761110000005231010000024-220.5007132000463835265514474459206518041300.00%000%0518147535.12%627183334.21%31391234.32%9356352004454679265
9Comets2020000029-71010000005-51010000024-200.00024600463835255514474459207124833200.00%4175.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
10Cougars2110000057-2000000000002110000057-220.5005101500463835232514474459209329635100.00%3166.67%0518147535.12%627183334.21%31391234.32%9356352004454679265
11Crunch20200000411-70000000000020200000411-700.0004812004638352525144744592069181045300.00%5340.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
12Heat11000000422000000000001100000042221.000481200463835243514474459203712223100.00%10100.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
13Jayhawks2000010179-21000010045-11000000134-120.500714210046383529451447445920108244582150.00%2150.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
14Las Vegas1010000035-21010000035-20000000000000.000369104638352225144744592029101115200.00%30100.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
15Manchots2000000246-22000000246-20000000000020.5004812004638352635144744592049915411119.09%5180.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
16Marlies20200000411-71010000035-21010000016-500.0004812004638352555144744592071226444125.00%3166.67%0518147535.12%627183334.21%31391234.32%9356352004454679265
17Minnesota2110000056-1110000003121010000025-320.5005101500463835260514474459208222432400.00%20100.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
18Monarchs11000000422110000004220000000000021.00048120046383523151447445920334215200.00%000%0518147535.12%627183334.21%31391234.32%9356352004454679265
19Monsters20200000510-50000000000020200000510-500.00057120046383523751447445920622010334250.00%5260.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
20Monsters2020000038-51010000002-21010000036-300.0003690046383524051447445920562413277114.29%4175.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
21Oceanics20200000210-81010000016-51010000014-300.000246004638352435144744592060132330700.00%10280.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
22Oil Kings20200000611-51010000035-21010000036-300.000612180046383525051447445920721811424250.00%30100.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
23Phantoms1010000013-2000000000001010000013-200.0001230046383522151447445920304024200.00%000%0518147535.12%627183334.21%31391234.32%9356352004454679265
24Rocket2020000019-81010000013-21010000006-600.00012300463835237514474459206121227500.00%10100.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
25Sags1010000014-31010000014-30000000000000.0001230046383522251447445920228423400.00%20100.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
26Seattle20200000311-81010000014-31010000027-500.000347004638352355144744592057221236500.00%6183.33%0518147535.12%627183334.21%31391234.32%9356352004454679265
27Senators30300000511-61010000023-12020000038-500.000510150046383525451447445920762520461317.69%8450.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
28Sound Tigers2020000038-5000000000002020000038-500.00036900463835255514474459206116651400.00%30100.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
29Spiders30200100514-920200000311-81000010023-110.16759140046383526251447445920115381857700.00%80100.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
30Stars20200000311-81010000016-51010000025-300.00035800463835252514474459206416041300.00%000%0518147535.12%627183334.21%31391234.32%9356352004454679265
31Wolf Pack20200000711-41010000036-31010000045-100.00071320004638352375144744592062141350500.00%4250.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
Total6064800303119262-143294220010257123-66312260020162139-77180.15011922634510463835214585144744592019265572711083153159.80%1122875.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
_Since Last GM Reset6064800303119262-143294220010257123-66312260020162139-77180.15011922634510463835214585144744592019265572711083153159.80%1122875.00%0518147535.12%627183334.21%31391234.32%9356352004454679265
_Vs Conference292230020257126-6914210000022961-3215013002002865-3780.13857107164004638352667514474459208912541415438478.33%591574.58%0518147535.12%627183334.21%31391234.32%9356352004454679265

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6018OTL111922634514581926557271108310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
606480303119262
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29422010257123
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31226020162139
Derniers 10 matchs
WLOTWOTL SOWSOL
080200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
153159.80%1122875.00%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
514474459204638352
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
518147535.12%627183334.21%31391234.32%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9356352004454679265


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
1 - 2023-10-101Chill2Thunder5BWSommaire du match
5 - 2023-10-1423Thunder4Cougars3AWSommaire du match
6 - 2023-10-1533Thunder1Senators3ALSommaire du match
8 - 2023-10-1740Thunder1Crunch5ALSommaire du match
10 - 2023-10-1955Comets5Thunder0BLSommaire du match
12 - 2023-10-2170Marlies5Thunder3BLSommaire du match
15 - 2023-10-2486Caroline2Thunder0BLSommaire du match
17 - 2023-10-26106Sags4Thunder1BLSommaire du match
21 - 2023-10-30133Seattle4Thunder1BLSommaire du match
24 - 2023-11-02146Thunder3Monsters5ALSommaire du match
26 - 2023-11-04163Thunder2Senators5ALSommaire du match
28 - 2023-11-06177Thunder1Marlies6ALSommaire du match
29 - 2023-11-07181Thunder0Rocket6ALSommaire du match
31 - 2023-11-09198Baby Hawks6Thunder2BLSommaire du match
33 - 2023-11-11214Caroline2Thunder3BWSommaire du match
36 - 2023-11-14235Thunder2Chiefs4ALSommaire du match
38 - 2023-11-16246Thunder1Baby Hawks4ALSommaire du match
40 - 2023-11-18257Oil Kings5Thunder3BLSommaire du match
42 - 2023-11-20273Bruins4Thunder0BLSommaire du match
44 - 2023-11-22284Oceanics6Thunder1BLSommaire du match
46 - 2023-11-24303Thunder1Caroline3ALSommaire du match
49 - 2023-11-27324Thunder3Monsters6ALSommaire du match
50 - 2023-11-28334Thunder3Jayhawks4ALXXSommaire du match
52 - 2023-11-30345Manchots2Thunder1BLXXSommaire du match
54 - 2023-12-02356Thunder2Stars5ALSommaire du match
56 - 2023-12-04375Stars6Thunder1BLSommaire du match
58 - 2023-12-06389Manchots4Thunder3BLXXSommaire du match
59 - 2023-12-07398Thunder2Chill4ALSommaire du match
61 - 2023-12-09418Thunder2Seattle7ALSommaire du match
64 - 2023-12-12438Thunder2Comets4ALSommaire du match
66 - 2023-12-14452Thunder3Oil Kings6ALSommaire du match
68 - 2023-12-16472Thunder4Heat2AWSommaire du match
71 - 2023-12-19488Chiefs4Thunder1BLSommaire du match
73 - 2023-12-21504Las Vegas5Thunder3BLSommaire du match
75 - 2023-12-23521Thunder1Bears3ALSommaire du match
79 - 2023-12-27530Cabaret Lady Mary Ann5Thunder2BLSommaire du match
82 - 2023-12-30560Wolf Pack6Thunder3BLSommaire du match
83 - 2023-12-31568Rocket3Thunder1BLSommaire du match
85 - 2024-01-02580Thunder1Oceanics4ALSommaire du match
87 - 2024-01-04594Thunder2Minnesota5ALSommaire du match
89 - 2024-01-06608Thunder2Bruins7ALSommaire du match
92 - 2024-01-09626Monarchs2Thunder4BWSommaire du match
94 - 2024-01-11644Spiders3Thunder1BLSommaire du match
96 - 2024-01-13662Admirals8Thunder1BLSommaire du match
101 - 2024-01-18695Minnesota1Thunder3BWSommaire du match
103 - 2024-01-20706Thunder3Crunch6ALSommaire du match
104 - 2024-01-21720Thunder1Cougars4ALSommaire du match
106 - 2024-01-23732Thunder1Phantoms3ALSommaire du match
108 - 2024-01-25750Jayhawks5Thunder4BLXSommaire du match
110 - 2024-01-27768Spiders8Thunder2BLSommaire du match
121 - 2024-02-07791Thunder4Wolf Pack5ALSommaire du match
122 - 2024-02-08798Thunder1Sound Tigers5ALSommaire du match
124 - 2024-02-10812Thunder2Monsters5ALSommaire du match
127 - 2024-02-13823Thunder3Bruins4ALXSommaire du match
129 - 2024-02-15842Monsters2Thunder0BLSommaire du match
131 - 2024-02-17856Cabaret Lady Mary Ann7Thunder4BLSommaire du match
133 - 2024-02-19875Senators3Thunder2BLSommaire du match
136 - 2024-02-22894Bears4Thunder2BLSommaire du match
138 - 2024-02-24904Thunder2Sound Tigers3ALSommaire du match
139 - 2024-02-25916Thunder2Spiders3ALXSommaire du match
141 - 2024-02-27930Thunder-Phantoms-
143 - 2024-02-29945Crunch-Thunder-
145 - 2024-03-02963Rocket-Thunder-
150 - 2024-03-07999Heat-Thunder-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091016Phantoms-Thunder-
157 - 2024-03-141052Wolf Pack-Thunder-
159 - 2024-03-161063Thunder-Cabaret Lady Mary Ann-
162 - 2024-03-191094Thunder-Las Vegas-
164 - 2024-03-211108Thunder-Sags-
166 - 2024-03-231121Thunder-Monarchs-
167 - 2024-03-241131Thunder-Admirals-
170 - 2024-03-271149Bruins-Thunder-
173 - 2024-03-301175Sound Tigers-Thunder-
175 - 2024-04-011184Cougars-Thunder-
177 - 2024-04-031197Thunder-Marlies-
178 - 2024-04-041204Thunder-Rocket-
180 - 2024-04-061217Thunder-Manchots-
183 - 2024-04-091245Monsters-Thunder-
185 - 2024-04-111259Senators-Thunder-
187 - 2024-04-131275Thunder-Bears-
189 - 2024-04-151290Crunch-Thunder-
191 - 2024-04-171304Marlies-Thunder-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance55,73728,023
Assistance PCT96.10%96.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 2888 - 96.28% 98,116$2,845,368$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,308,754$ 1,926,395$ 1,926,395$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,033$ 1,308,754$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,177,394$ 53 10,033$ 531,749$




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