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Thunder
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Steve St-Amand | Morale : 50 | Moyenne d’équipe : 59
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralSteve St-Amand
EntraîneurUlf Dahlen
DivisionNorth
ConférenceEastern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 250
Espoirs36


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
1Ryan McLeodX100.004952877769769257825460704070737520630231925,000$
2Mark KastelicX100.009979737572705455935060714070707520620231750,000$
3Trey Fix-WolanskyX100.004555687941625251404853524070667520540231925,000$
4Jan Mysak (R)X100.005760907547605029702037534064629020470202925,000$
5Christian FolinX100.009666747571555051404050564086713520610311850,000$
6Victor MeteX100.0048428879487468534056506540727370206102422,000,000$
7Jake GardinerX100.0054598278675550584065506340887230206103211,000,000$
Rayé
1Brian BoyleX100.007475827596728858805264827699860206903800$
2Matthew PhillipsX100.0045388588407464684067697073727370206502400$
3Jonathan DahlenX100.0046428683497785604053666640747665206302500$
4Kole LindX100.0058448081527459594061577140727370206202400$
5Jake LeschyshynX100.006645867755747151814854664070727520590231925,000$
6Nick MerkleyX100.0064527780556858574062525040747165205802500$
7Kristian VesalainenX100.0072538875716979474042535940707075205802300$
8Joona KoppanenX100.0059538475767161454045457040727270205702400$
9Ben McCartney (R)X100.005658698953665650404456504066668520560213925,000$
10Jayce HawrylukX100.0074538478576050524045505240766860205502600$
11Collin Adams (R)X100.005045868855605035403139574072667020510241575,000$
12Manuel WiedererX100.0061588175536050394041375040766860205002600$
13Jan DrozgX100.005355847553605037403539524070657520490231925,000$
14Luka BurzanX100.006669907554605025402030604068648020470221750,000$
15Jacob MiddletonX100.0082876575778188554052579040767960207202600$
16Cam York (R)X100.005641868447826461405962674066748520640213925,000$
17Johnathan KovacevicX100.0086767575816661484045527040747065206402500$
18Andreas BorgmanX100.0099517675535550444032565540786755205602700$
19Mitchell VandeSompelX100.0060578375526055394043345073746765205402500$
20Ryan O'Rourke (R)X100.006084727550555034403534524064609020520202925,000$
MOYENNE D’ÉQUIPE100.00645781785967614948465162447370662058
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
1Zachary Sawchenko (R)100.00775060755050505050504074626520560251575,000$
Rayé
1Karel Vejmelka (R)100.00769394996563666070605376706020710261575,000$
2Dustin Wolf (R)100.00947785766468706766678466678520690213925,000$
3Nico Daws (R)100.00776060946362606061608768658020650222750,000$
MOYENNE D’ÉQUIPE100.0081707586616162596259667166732065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ulf Dahlen62585060818788SWE563200,000$


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 Plafond 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
Andreas BorgmanThunder (Lak)D276/18/1995No183 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Ben McCartneyThunder (Lak)LW217/13/2001Yes183 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Brian BoyleThunder (Lak)C3812/18/1984No245 Lbs6 ft6NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Cam YorkThunder (Lak)D211/5/2001Yes175 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Christian FolinThunder (Lak)D312/9/1991No204 Lbs6 ft4NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Collin AdamsThunder (Lak)LW244/24/1998Yes200 Lbs5 ft9NoNoNo1Pro & Farm575,000$0$0$NoLien NHL
Dustin WolfThunder (Lak)G214/16/2001Yes156 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Jacob MiddletonThunder (Lak)D261/2/1996No219 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Jake GardinerThunder (Lak)D327/4/1990No203 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Jake LeschyshynThunder (Lak)C233/10/1999No192 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Jan DrozgThunder (Lak)RW234/1/1999No175 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Jan MysakThunder (Lak)C206/24/2002Yes176 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Jayce HawrylukThunder (Lak)C261/1/1996No196 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Johnathan KovacevicThunder (Lak)D257/12/1997No219 Lbs6 ft5NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Jonathan DahlenThunder (Lak)C2512/20/1997No180 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Joona KoppanenThunder (Lak)LW242/25/1998No210 Lbs6 ft5NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Karel VejmelkaThunder (Lak)G265/25/1996Yes224 Lbs6 ft4NoNoNo1Pro & Farm575,000$0$0$NoLien NHL
Kole LindThunder (Lak)RW2410/16/1998No178 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Kristian VesalainenThunder (Lak)LW236/1/1999No207 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Luka BurzanThunder (Lak)LW221/7/2000No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Manuel WiedererThunder (Lak)RW2611/21/1996No180 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Mark KastelicThunder (Lak)C233/11/1999No210 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Matthew PhillipsThunder (Lak)RW244/6/1998No165 Lbs5 ft8NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Mitchell VandeSompelThunder (Lak)D252/11/1997No190 Lbs5 ft10NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nick MerkleyThunder (Lak)RW255/23/1997No192 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nico DawsThunder (Lak)G2212/22/2000Yes205 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien NHL
Ryan McLeodThunder (Lak)C239/21/1999No207 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Ryan O'RourkeThunder (Lak)D205/16/2002Yes178 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Trey Fix-WolanskyThunder (Lak)RW235/26/1999No179 Lbs5 ft7NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Victor MeteThunder (Lak)D246/7/1998No185 Lbs5 ft9NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$Lien / Lien NHL
Zachary SawchenkoThunder (Lak)G2512/30/1997Yes175 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3124.58193 Lbs6 ft10.90520,968$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%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



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
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,615,000$ 300,000$ 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 (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