Version obsolète du STHS! Veuillez mettre à jour votre version!
Connexion

Thunder
GP: 82 | W: 39 | L: 39 | OTL: 4 | P: 82
GF: 262 | GA: 263 | PP%: 21.91% | PK%: 84.25%
DG: Jean-Francois Lemelin | Morale : 50 | Moyenne d’équipe : 55
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Marlies
42-32-8, 92pts
5
FINAL
0 Thunder
39-39-4, 82pts
Team Stats
SOL1StreakL2
23-15-3Home Record20-18-3
19-17-5Away Record19-21-1
5-4-1Last 10 Games3-7-0
3.48Buts par match 3.20
3.32Buts contre par match 3.21
19.83%Pourcentage en avantage numérique21.91%
79.86%Pourcentage en désavantage numérique84.25%
Cougars
47-29-6, 100pts
4
FINAL
3 Thunder
39-39-4, 82pts
Team Stats
W1StreakL2
20-18-3Home Record20-18-3
27-11-3Away Record19-21-1
6-4-0Last 10 Games3-7-0
4.11Buts par match 3.20
3.66Buts contre par match 3.21
20.08%Pourcentage en avantage numérique21.91%
72.16%Pourcentage en désavantage numérique84.25%
Meneurs d'équipe
Buts
Chris Wagner
43
Passes
Urho Vaakanainen
56
Points
Chris Wagner
79
Plus/Moins
Jacob Larsson
13
Victoires
Calvin Pickard
27
Pourcentage d’arrêts
Olivier Rodrigue
0.95

Statistiques d’équipe
Buts pour
262
3.20 GFG
Tirs pour
2883
35.16 Avg
Pourcentage en avantage numérique
21.9%
55 GF
Début de zone offensive
40.0%
Buts contre
263
3.21 GAA
Tirs contre
2851
34.77 Avg
Pourcentage en désavantage numérique
84.2%%
43 GA
Début de la zone défensive
40.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,858
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 50
Espoirs20


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Jayson MegnaXX100.00794493747257655867625577256161050620314560,000$
2Chris WagnerXX100.007471827771737859504960695767690506203041,000,000$
3Curtis McKenzieX100.00747669687665666350596068576061050610304560,000$
4Jack Drury (R)X100.00676375716362626379626060574444050590213925,000$
5Adam Beckman (R)X100.00746987686964665950585663534444050580202925,000$
6Gabriel Fortier (R)XX100.00894587666254826225505961254444050570213791,667$
7Ilya Nikolaev (R)X100.00484399686973955562544646485454050560204700,000$
8Ethan Keppen (R)X100.00817888637838374450384463424444050500203560,000$
9Artur Kayumov (R)XX100.00374545455334343745363645413230050390231750,000$
10Tobias BjornfotX100.00734396747371785725494776255757050640202925,000$
11Urho VaakanainenX100.00734389786978636025554777254848050640221925,000$
12Jacob LarssonX100.007472797772727950254240653863630506202411,000,000$
13Anthony BitettoX100.00788072708054565125404368416465050600311770,000$
14Nikita NesterovX100.00724383696963675425464469244747050590281700,000$
15Jett Woo (R)X100.00757477587454564725374160394444050540213860,833$
16Ole Bjorgvik Holm (R)X100.00727284607253564725403861384444050540194845,333$
17Jackson Lacombe (R)X100.00514799637459794225472947305454050530204825,000$
18Maxwell Crozier (R)X100.00494599647155724125403446365858050520214560,000$
Rayé
1Ryan O'Rourke (R)X100.00676974596958634525353757374444050530192886,667$
2Filip Johansson (R)X100.00474390636757803725273845425050050500213895,000$
3Antti Tuomisto (R)X100.00535199597852753125302745285454050490204825,000$
MOYENNE D’ÉQUIPE100.0067588466715967513746456038515105056
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Calvin Pickard100.0058445578646056636261305858050600291915,000$
2Jake Kielly (R)100.0046506278434549504445294441050500253700,000$
Rayé
1Olivier Rodrigue (R)100.0046445563464650534848304444050490213795,000$
2John Lethemon (R)100.0044405079454445494545454444050480254825,000$
3Samuel Ersson (R)100.0044405068454445494545454444050470213859,167$
MOYENNE D’ÉQUIPE100.004844547349484953494936474605051
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Chris WagnerThunder (Tam)LW/RW82433679139520719842111429710.21%25185722.65136198921810152574447.86%14000020.8516010837
2Jayson MegnaThunder (Tam)C/RW82245377-7340163319310982737.74%40185422.61322254620402252253253.40%252800100.8336000282
3Jack DruryThunder (Tam)C823245770260722493189326010.06%11165120.15711185319700031327057.65%190100000.9301000615
4Urho VaakanainenThunder (Tam)D79165672-14640194172193691248.29%145185223.4551419851991122186210.00%000000.7800000266
5Curtis McKenzieThunder (Tam)LW82343771-23951941874121062798.25%28164020.0167138319801121215548.19%24900000.8715001692
6Adam BeckmanThunder (Tam)LW82343064-4180691532627018312.98%14139617.0351613440002512242.11%11400000.9201000432
7Gabriel FortierThunder (Tam)C/LW82233255-7715202159257671728.95%11133716.310114200001427127.08%153600000.8200000406
8Jacob LarssonThunder (Tam)D821536511346011172122367512.30%88168620.57681456202000219730100.00%100000.6000000123
9Anthony BitettoThunder (Tam)D8211354613103351936113438668.21%108163519.946111757190000118610100.00%100000.5600025126
10Nikita NesterovThunder (Tam)D8253237-6280989711438884.39%107146317.842810441820005199100.00%000000.5100000020
11Ilya NikolaevThunder (Tam)C8241822-90037510330733.88%5176521.54077112130001840054.07%30700000.2500000001
12Ethan KeppenThunder (Tam)LW8241620-65715100407315655.48%14145417.74101121560000171047.58%12400000.2700201100
13Tobias BjornfotThunder (Tam)D8161117-3100343154133111.11%515436.70156205110129401100.00%100000.6300000011
14Jett WooThunder (Tam)D8211213-35515148343215223.13%60119914.6300000000084000.00%000000.2200210000
15Ole Bjorgvik HolmThunder (Tam)D694812-13692562365415387.41%25109715.9000000000000133.33%5100000.2200203010
16Jackson LacombeThunder (Tam)D823710-21401611123925.00%46123015.0000022300000000.00%100000.1600000001
17Artur KayumovThunder (Tam)LW/RW82022080615110.00%04285.220110350000100021.88%3200000.0900000000
18Ryan O'RourkeThunder (Tam)D42011-3802353000.00%8962.290000000000000.00%000000.2100000000
19Filip JohanssonThunder (Tam)D4000000000000.00%110.290000000000000.00%000000.00%00000000
20Maxwell CrozierThunder (Tam)D19000000010000.00%180.450000300000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne1442259467726-7167910518951901287982120569.00%7882420016.78551021575752142347311892361747.94%698600120.605196410353842
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
1Calvin PickardThunder (Tam)58272740.9123.03346412217519920120.78919580823
2Jake KiellyThunder (Tam)26121100.9033.31143100798150320.00%02479010
3Olivier RodrigueThunder (Tam)20100.9502.0060002400000.00%003000
Statistiques d’équipe totales ou en moyenne86393940.9103.1049551222562847044198282833


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam BeckmanThunder (Tam)LW202001-05-10Yes187 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Anthony Bitetto (contrat à 1 volet)Thunder (Tam)D311990-07-15No222 Lbs6 ft1NoNoYes1Pro & Farm770,000$0$0$NoLien
Antti TuomistoThunder (Tam)D202001-01-20Yes205 Lbs6 ft5NoNoNo4Pro & Farm825,000$0$0$No825,000$825,000$825,000$Lien
Artur KayumovThunder (Tam)LW/RW231998-02-14Yes176 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien
Calvin Pickard (contrat à 1 volet)Thunder (Tam)G291992-04-14No210 Lbs6 ft1NoNoYes1Pro & Farm915,000$15,000$0$NoLien
Chris Wagner (contrat à 1 volet)Thunder (Tam)LW/RW301991-05-26No198 Lbs6 ft0NoNoYes4Pro & Farm1,000,000$100,000$0$No1,000,000$1,000,000$1,000,000$Lien
Curtis McKenzie (contrat à 1 volet)Thunder (Tam)LW301991-02-22No205 Lbs6 ft2NoNoYes4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Lien
Ethan KeppenThunder (Tam)LW202001-03-20Yes212 Lbs6 ft2NoNoNo3Pro & Farm560,000$0$0$No560,000$560,000$Lien
Filip JohanssonThunder (Tam)D212000-03-23Yes181 Lbs6 ft1NoNoNo3Pro & Farm895,000$0$0$No895,000$895,000$Lien
Gabriel FortierThunder (Tam)C/LW212000-02-06Yes174 Lbs5 ft10NoNoNo3Pro & Farm791,667$0$0$No791,667$791,667$Lien
Ilya NikolaevThunder (Tam)C202001-06-26Yes190 Lbs6 ft0NoNoNo4Pro & Farm700,000$0$0$No700,000$700,000$700,000$Lien
Jack DruryThunder (Tam)C212000-02-03Yes174 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Jackson LacombeThunder (Tam)D202001-01-09Yes201 Lbs6 ft2NoNoNo4Pro & Farm825,000$0$0$No825,000$825,000$825,000$Lien
Jacob LarssonThunder (Tam)D241997-04-29No190 Lbs6 ft2NoNoYes1Pro & Farm1,000,000$0$0$NoLien
Jake KiellyThunder (Tam)G251996-09-10Yes201 Lbs6 ft2NoNoYes3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Jayson Megna (contrat à 1 volet)Thunder (Tam)C/RW311990-02-01No195 Lbs6 ft1NoNoYes4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Lien
Jett WooThunder (Tam)D212000-07-27Yes205 Lbs6 ft0NoNoNo3Pro & Farm860,833$0$0$No860,833$860,833$Lien
John LethemonThunder (Tam)G251996-08-15Yes196 Lbs6 ft3NoNoYes4Pro & Farm825,000$0$0$No825,000$825,000$825,000$
Maxwell CrozierThunder (Tam)D212000-04-19Yes194 Lbs6 ft2NoNoNo4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Lien
Nikita Nesterov (contrat à 1 volet)Thunder (Tam)D281993-03-28No191 Lbs5 ft11NoNoYes1Pro & Farm700,000$0$0$NoLien
Ole Bjorgvik HolmThunder (Tam)D192002-05-23Yes190 Lbs6 ft2NoNoNo4Pro & Farm845,333$0$0$No845,333$845,333$845,333$Lien
Olivier RodrigueThunder (Tam)G212000-07-06Yes170 Lbs6 ft1NoNoNo3Pro & Farm795,000$0$0$No795,000$795,000$Lien
Ryan O'RourkeThunder (Tam)D192002-05-16Yes181 Lbs6 ft2NoNoNo2Pro & Farm886,667$0$0$No886,667$Lien
Samuel ErssonThunder (Tam)G211999-10-20Yes176 Lbs6 ft2NoNoNo3Pro & Farm859,167$0$0$No859,167$859,167$Lien
Tobias BjornfotThunder (Tam)D202001-04-06No203 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Urho VaakanainenThunder (Tam)D221999-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2623.19193 Lbs6 ft12.77803,218$



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


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals2020000015-41010000002-21010000013-200.000112009687747589209659704767152531800.00%8275.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
2Baby Hawks22000000523110000003211100000020241.00059140196877477792096597047522019378225.00%70100.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
3Bears312000001012-2211000008801010000024-220.33310182810968774797920965970471072516718112.50%8275.00%11365279648.82%1350284247.50%634134847.03%1981135418956191085543
4Bruins42200000161422110000010822110000066040.50016294500968774714392096597047144373610117211.76%14192.86%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
5Cabaret Lady Mary Ann440000002191222000000105522000000114781.0002140610096877472449209659704713532371055240.00%16287.50%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
6Caroline3210000011101110000003212110000088040.6671121320096877471039209659704710120165315426.67%8187.50%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
7Chiefs200000116601000000123-11000001043130.75069150096877477392096597047581111352150.00%30100.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
8Chill2010100067-1100010005411010000013-220.500610160096877476992096597047813415495120.00%5180.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
9Comets220000001046110000004221100000062441.0001017270096877478592096597047672614407228.57%70100.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
10Cougars41300000151502110000085320200000710-320.25015284300968774714592096597047142402010115533.33%10190.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
11Crunch430000101587210000108622200000072581.0001524390196877471609209659704713132429519736.84%14192.86%11365279648.82%1350284247.50%634134847.03%1981135418956191085543
12Heat2010100078-11010000035-21000100043120.500712191096877477692096597047751616457114.29%80100.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
13Jayhawks22000000963110000004311100000053241.0009172600968774757920965970478120233811100.00%9188.89%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
14Las Vegas20200000110-91010000004-41010000016-500.000123009687747689209659704794283542800.00%10460.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
15Manchots30300000410-61010000024-22020000026-400.000471100968774710392096597047772634571317.69%12375.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
16Marlies3120000028-62020000007-71100000021120.3332460096877478192096597047113172483700.00%10190.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
17Minnesota22000000826110000005141100000031241.00081523009687747819209659704745118436116.67%40100.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
18Monarchs20100100710-31010000046-21000010034-110.25071421009687747769209659704772201651400.00%7357.14%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
19Monsters30200001712-52010000147-31010000035-210.167711180096877478392096597047113282474700.00%12375.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
20Monsters211000008711010000024-21100000063320.500813211096877477092096597047571412436233.33%50100.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
21Oceanics21100000880110000005321010000035-220.50081624009687747669209659704790301049400.00%5180.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
22Oil Kings211000007611010000035-21100000041320.50071421009687747699209659704755301837200.00%9277.78%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
23Phantoms3200001017892200000013581000001043161.000173148009687747120920965970478927197312650.00%7185.71%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
24Rocket42100001161422100000110912110000065150.6251627430096877471299209659704713839449312650.00%16287.50%11365279648.82%1350284247.50%634134847.03%1981135418956191085543
25Seattle2110000037-4110000003211010000005-520.500358009687747519209659704778171441400.00%70100.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
26Senators3210000011831010000034-12200000084440.66711213200968774783920965970471094043667342.86%14285.71%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
27Sharks21100000761110000005321010000023-120.50071219009687747879209659704774272547342.86%110.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
28Sound Tigers30300000712-52020000037-41010000045-100.00071219009687747101920965970471214131819222.22%11372.73%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
29Spiders312000001012-21100000042220200000610-420.33310182800968774787920965970471112718967228.57%9366.67%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
30Stars2020000015-41010000013-21010000002-200.000123109687747539209659704759201446900.00%70100.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
31Wolf Pack30300000612-61010000026-42020000046-200.0006121800968774788920965970471152137711000.00%10280.00%01365279648.82%1350284247.50%634134847.03%1981135418956191085543
Total82343902133262263-141181801013137137041162101120125126-1820.500262471733429687747288392096597047285179169319012515521.91%2734384.25%31365279648.82%1350284247.50%634134847.03%1981135418956191085543
_Since Last GM Reset82343902133262263-141181801013137137041162101120125126-1820.500262471733429687747288392096597047285179169319012515521.91%2734384.25%31365279648.82%1350284247.50%634134847.03%1981135418956191085543
_Vs Conference41112601111119144-2521712010016876-820414001105168-17280.341119216335109687747134292096597047148341535010071252116.80%1332978.20%11365279648.82%1350284247.50%634134847.03%1981135418956191085543

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8282L226247173328832851791693190142
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8234392133262263
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118181013137137
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4116211120125126
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2515521.91%2734384.25%3
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
920965970479687747
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
1365279648.82%1350284247.50%634134847.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1981135418956191085543


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 - 2022-10-113Thunder3Wolf Pack4ALSommaire du match
8 - 2022-10-1421Thunder3Monsters5ALSommaire du match
9 - 2022-10-1531Thunder1Manchots3ALSommaire du match
12 - 2022-10-1853Phantoms2Thunder5BWSommaire du match
15 - 2022-10-2171Thunder4Cabaret Lady Mary Ann1AWSommaire du match
16 - 2022-10-2281Sound Tigers3Thunder1BLSommaire du match
19 - 2022-10-25106Thunder3Monarchs4ALXSommaire du match
20 - 2022-10-26110Thunder1Admirals3ALSommaire du match
23 - 2022-10-29128Thunder2Sharks3ALSommaire du match
26 - 2022-11-01148Senators4Thunder3BLSommaire du match
28 - 2022-11-03162Caroline2Thunder3BWSommaire du match
30 - 2022-11-05181Crunch4Thunder5BWXXSommaire du match
33 - 2022-11-08202Oil Kings5Thunder3BLSommaire du match
36 - 2022-11-11222Thunder2Bears4ALSommaire du match
38 - 2022-11-13242Bears6Thunder4BLSommaire du match
40 - 2022-11-15248Stars3Thunder1BLSommaire du match
42 - 2022-11-17260Heat5Thunder3BLSommaire du match
44 - 2022-11-19285Thunder1Chill3ALSommaire du match
46 - 2022-11-21291Bruins4Thunder7BWSommaire du match
50 - 2022-11-25328Chiefs3Thunder2BLXXSommaire du match
53 - 2022-11-28347Thunder4Crunch2AWSommaire du match
54 - 2022-11-29355Thunder4Bruins2AWSommaire du match
56 - 2022-12-01367Thunder4Phantoms3AWXXSommaire du match
58 - 2022-12-03385Marlies2Thunder0BLSommaire du match
61 - 2022-12-06405Cougars1Thunder5BWSommaire du match
63 - 2022-12-08421Chill4Thunder5BWXSommaire du match
65 - 2022-12-10436Cabaret Lady Mary Ann1Thunder5BWSommaire du match
68 - 2022-12-13459Seattle2Thunder3BWSommaire du match
70 - 2022-12-15470Monsters5Thunder3BLSommaire du match
72 - 2022-12-17490Thunder1Rocket2ALSommaire du match
75 - 2022-12-20513Thunder2Marlies1AWSommaire du match
76 - 2022-12-21519Thunder4Cougars5ALSommaire du match
78 - 2022-12-23536Thunder3Crunch0AWSommaire du match
83 - 2022-12-28559Rocket2Thunder4BWSommaire du match
84 - 2022-12-29565Wolf Pack6Thunder2BLSommaire du match
86 - 2022-12-31583Jayhawks3Thunder4BWSommaire du match
89 - 2023-01-03605Thunder2Baby Hawks0AWSommaire du match
90 - 2023-01-04610Thunder3Minnesota1AWSommaire du match
92 - 2023-01-06624Thunder3Oceanics5ALSommaire du match
96 - 2023-01-10648Monsters2Thunder1BLXXSommaire du match
98 - 2023-01-12667Comets2Thunder4BWSommaire du match
100 - 2023-01-14688Thunder4Chiefs3AWXXSommaire du match
102 - 2023-01-16698Thunder0Seattle5ALSommaire du match
104 - 2023-01-18714Thunder6Comets2AWSommaire du match
105 - 2023-01-19725Thunder4Oil Kings1AWSommaire du match
107 - 2023-01-21733Thunder4Heat3AWXSommaire du match
110 - 2023-01-24758Minnesota1Thunder5BWSommaire du match
112 - 2023-01-26771Bruins4Thunder3BLSommaire du match
114 - 2023-01-28791Monarchs6Thunder4BLSommaire du match
123 - 2023-02-06808Thunder7Cabaret Lady Mary Ann3AWSommaire du match
124 - 2023-02-07814Sharks3Thunder5BWSommaire du match
126 - 2023-02-09821Monsters4Thunder2BLSommaire du match
128 - 2023-02-11837Thunder0Stars2ALSommaire du match
131 - 2023-02-14862Thunder6Monsters3AWSommaire du match
132 - 2023-02-15865Thunder5Jayhawks3AWSommaire du match
135 - 2023-02-18895Thunder1Las Vegas6ALSommaire du match
138 - 2023-02-21908Admirals2Thunder0BLSommaire du match
140 - 2023-02-23921Crunch2Thunder3BWSommaire du match
142 - 2023-02-25942Thunder3Cougars5ALSommaire du match
143 - 2023-02-26951Thunder1Manchots3ALSommaire du match
145 - 2023-02-28960Cabaret Lady Mary Ann4Thunder5BWSommaire du match
147 - 2023-03-02977Manchots4Thunder2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2023-03-051001Thunder5Caroline3AWSommaire du match
152 - 2023-03-071014Phantoms3Thunder8BWSommaire du match
154 - 2023-03-091031Las Vegas4Thunder0BLSommaire du match
156 - 2023-03-111042Baby Hawks2Thunder3BWSommaire du match
157 - 2023-03-121057Oceanics3Thunder5BWSommaire du match
159 - 2023-03-141065Thunder4Spiders6ALSommaire du match
161 - 2023-03-161083Thunder2Spiders4ALSommaire du match
163 - 2023-03-181101Rocket7Thunder6BLXXSommaire du match
164 - 2023-03-191113Spiders2Thunder4BWSommaire du match
166 - 2023-03-211126Thunder5Rocket3AWSommaire du match
168 - 2023-03-231139Thunder4Senators2AWSommaire du match
170 - 2023-03-251151Thunder2Bruins4ALSommaire du match
173 - 2023-03-281179Thunder3Caroline5ALSommaire du match
175 - 2023-03-301194Bears2Thunder4BWSommaire du match
177 - 2023-04-011209Sound Tigers4Thunder2BLSommaire du match
181 - 2023-04-051241Thunder1Wolf Pack2ALSommaire du match
182 - 2023-04-061249Thunder4Sound Tigers5ALSommaire du match
184 - 2023-04-081267Thunder4Senators2AWSommaire du match
187 - 2023-04-111289Marlies5Thunder0BLSommaire du match
189 - 2023-04-131300Cougars4Thunder3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance77,75639,442
Assistance PCT94.82%96.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2858 - 95.28% 80,807$3,313,090$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,684,413$ 1,637,867$ 1,637,867$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,620$ 1,684,413$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 8,620$ 0$




Thunder Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Thunder Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Thunder Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Thunder Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Thunder Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA