Connexion

Thunderbirds
GP: 1 | W: 1 | L: 0
GF: 3 | GA: 1 | PP%: 0.00% | PK%: 100.00%
DG: Anthony Roy | Morale : 99 | Moyenne d’équipe : N/A
Prochains matchs #9 vs SKA
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Centre de jeu
SKA
0-1-0, 0pts
1
FINAL
3 Thunderbirds
1-0-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-1-0Derniers 10 matchs1-0-0
1.00Buts par match 3.00
3.00Buts contre par match 1.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
SKA
0-1-0, 0pts
2024-04-20
Thunderbirds
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-0
0-1-010 derniers matchs1-0-0
1.00Buts par match 3.00
3.00Buts contre par match 3.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Thunderbirds
1-0-0, 2pts
2024-04-22
SKA
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
3.00Buts par match 1.00
1.00Buts contre par match 1.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Thunderbirds
1-0-0, 2pts
2024-04-24
SKA
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
3.00Buts par match 1.00
1.00Buts contre par match 1.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Barrett Hayton
2
Jakub VranaPasses
Jakub Vrana
2
Jakub VranaPoints
Jakub Vrana
2
Plus/Moins
Barrett Hayton
2
Justus AnnunenVictoires
Justus Annunen
1
Justus AnnunenPourcentage d’arrêts
Justus Annunen
0.976

Statistiques d’équipe
Buts pour
3
3.00 GFG
Tirs pour
44
44.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
37.0%
Buts contre
1
1.00 GAA
Tirs contre
41
41.00 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
43.8%
Informations de l'équipe

Directeur généralAnthony Roy
EntraîneurScott Gomez
DivisionAtlantic
ConférenceEastern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,118
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure19
Limite contact 40 / 50
Espoirs62


Historique d'équipe

Saison actuelle1-0
Historique182-166-38 (0.472%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)8-7
Coupe Stanley0


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
1Chris WagnerXX100.009571696674798962746263776184784278003221,400,000$
2David KampfXX100.005737936678727962796462746377743322002811,500,000$
3Jakub VranaXX100.005643897774769575527374727373757684002711,300,000$
4Jack DuganXX100.006949836978787268586968696372695426002521,250,000$
5Jordan NolanXX100.008866626787796969526969775993853253003421,400,000$
6Peter HollandXX100.008371656779949372737171736285786082003221,500,000$
7Stefan NoesenX100.008758706778726469596868776483786667003021,200,000$
8Barrett HaytonXX100.00695384777986897785737470717073838100231950,000$
9Drake Rymsha (R)X100.007471667778687580737475686867686145002522,000,000$
10Igor LarionovX100.006147887874808079757469706966663082002531,850,000$
11Sergei GoncharukXX100.005850848168757579606976717565665081002431,700,000$
12Erik GudbransonX100.009074636493798962306461775182776772003122,300,000$
13Jason DemersX100.006840856676795064307064775193872454003512,000,000$
14Korbinian HolzerX100.008043866487796669307069744892844134003511,300,000$
15Mark BorowieckiX100.009279646579746671307570765190823347003422,500,000$
16Mark BarberioX100.005436916577735067306967754892842525003331,000,000$
17Scott HarringtonX100.007349846682708666307265755282775661003021,500,000$
Rayé
1Dale WeiseX100.008559727082767675577374736294873674003522,500,000$
2Andrej SekeraX92.955637946674765972307470725395863335003721,450,000$
MOYENNE D’ÉQUIPE99.5873547969797775705370697460827847580
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
1Petr Mrazek100.00878684758289909089878684883683003112,900,000$
2Justus Annunen (R)100.0085758186908991898790856570787500231900,000$
Rayé
MOYENNE D’ÉQUIPE100.008681838186899190888986757957790
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gomez65715062656180USA4322,500,000$


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
1Jakub VranaThunderbirds (STL)LW/RW1022200429220%12121.830000100000000%122001.8300000001
2Barrett HaytonThunderbirds (STL)C/LW120220043100520.00%02525.5200001000011057.14%3500001.5700000010
3Korbinian HolzerThunderbirds (STL)D11012001120050.00%42424.550000100001010%010000.8100000000
4Mark BarberioThunderbirds (STL)D1011000130010%21313.650000000000000%000001.4700000000
5Peter HollandThunderbirds (STL)C/RW1011220365220%02020.9500001000000025.00%400000.9500000000
6Andrej SekeraThunderbirds (STL)D1000000022010%21515.430000000000000%00000000000000
7Chris WagnerThunderbirds (STL)C/RW1000000211100%077.5500000000000066.67%30000000000000
8David KampfThunderbirds (STL)C/RW1000000101000%077.020000000000000%00000000000000
9Erik GudbransonThunderbirds (STL)D1000000010000%077.220000000000000%00000000000000
10Jason DemersThunderbirds (STL)D1000000120100%01212.570000000000000%00000000000000
11Jack DuganThunderbirds (STL)LW/RW1000100202000%01414.370000000000000%11100000000000
12Jordan NolanThunderbirds (STL)C/RW1000-100121000%01717.17000000000000100.00%10000000000000
13Mark BorowieckiThunderbirds (STL)D1000200330200%22828.050000100001000%00200000000000
14Scott HarringtonThunderbirds (STL)D1000000130010%11818.620000000000000%00300000000000
15Stefan NoesenThunderbirds (STL)RW1000100300020%01313.850000000000000%10000000000000
16Drake RymshaThunderbirds (STL)C1000-100333030%11717.9000000000000060.00%202000000000000
17Igor LarionovThunderbirds (STL)C1000100023030%01414.2000000000000042.86%71100000000000
18Sergei GoncharukThunderbirds (STL)LW/RW1000-100025020%11717.570000000000000%02000000000000
Statistiques d’équipe totales ou en moyenne1834710203036448226.82%1429816.5600009000071153.42%7399000.4700000011
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
1Justus AnnunenThunderbirds (STL)11000.9761.00600014121000010100
Statistiques d’équipe totales ou en moyenne11000.9761.0060001412100010100


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 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 10Lien
Andrej Sekera (sur la masse salariale)Thunderbirds (STL)D371986-06-08No200 Lbs6 ft0NoNoYesNo2Pro & Farm1,450,000$0$0$Yes1,450,000$Lien
Barrett HaytonThunderbirds (STL)C/LW232000-06-09 13:31:35No190 Lbs6 ft1NoNoNoNo1Pro & Farm950,000$0$0$NoLien
Chris WagnerThunderbirds (STL)C/RW321991-05-27No198 Lbs6 ft0NoNoYesNo2Pro & Farm1,400,000$0$0$No1,400,000$Lien / Lien NHL
Dale WeiseThunderbirds (STL)RW351988-08-05No206 Lbs6 ft2NoNoYesNo2Pro & Farm2,500,000$0$0$No2,500,000$Lien / Lien NHL
David KampfThunderbirds (STL)C/RW281995-01-12No188 Lbs6 ft2NoNoNoNo1Pro & Farm1,500,000$0$0$NoLien / Lien NHL
Drake RymshaThunderbirds (STL)C251998-08-06 03:32:30Yes187 Lbs6 ft0NoNoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$Lien / Lien NHL
Erik GudbransonThunderbirds (STL)D311992-01-07No217 Lbs6 ft5NoNoYesNo2Pro & Farm2,300,000$0$0$No2,300,000$Lien / Lien NHL
Igor LarionovThunderbirds (STL)C251998-08-24 14:49:50No170 Lbs6 ft0NoNoYesNo3Pro & Farm1,850,000$0$0$No1,850,000$1,850,000$
Jack DuganThunderbirds (STL)LW/RW251998-03-24 04:12:50No185 Lbs6 ft2NoNoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$
Jakub VranaThunderbirds (STL)LW/RW271996-02-28No197 Lbs6 ft0NoNoNoNo1Pro & Farm1,300,000$0$0$NoLien / Lien NHL
Jason DemersThunderbirds (STL)D351988-06-09No195 Lbs6 ft1NoNoYesNo1Pro & Farm2,000,000$0$0$NoLien / Lien NHL
Jordan NolanThunderbirds (STL)C/RW341989-06-23No219 Lbs6 ft3NoNoYesNo2Pro & Farm1,400,000$0$0$No1,400,000$Lien
Justus AnnunenThunderbirds (STL)G232000-03-11 09:50:13Yes210 Lbs6 ft4NoNoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Korbinian HolzerThunderbirds (STL)D351988-02-16No218 Lbs6 ft3NoNoYesNo1Pro & Farm1,300,000$0$0$NoLien
Mark BarberioThunderbirds (STL)D331990-03-23No207 Lbs6 ft1NoNoYesNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Mark BorowieckiThunderbirds (STL)D341989-07-12No207 Lbs6 ft1NoNoYesNo2Pro & Farm2,500,000$0$0$No2,500,000$Lien / Lien NHL
Peter HollandThunderbirds (STL)C/RW321991-01-14No193 Lbs6 ft2NoNoYesNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Petr MrazekThunderbirds (STL)G311992-02-14No190 Lbs6 ft1NoNoYesNo1Pro & Farm2,900,000$0$0$NoLien / Lien NHL
Scott HarringtonThunderbirds (STL)D301993-03-10No207 Lbs6 ft2NoNoYesNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien / Lien NHL
Sergei GoncharukThunderbirds (STL)LW/RW241999-07-13 17:54:23No157 Lbs5 ft10NoNoNoNo3Pro & Farm1,700,000$0$0$No1,700,000$1,700,000$
Stefan NoesenThunderbirds (STL)RW301993-02-12No205 Lbs6 ft1NoNoYesNo2Pro & Farm1,200,000$0$0$No1,200,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.95197 Lbs6 ft11.811,638,095$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub VranaBarrett HaytonPeter Holland40122
2Sergei GoncharukDrake RymshaJordan Nolan30122
3Jack DuganIgor LarionovStefan Noesen20122
4Barrett HaytonChris WagnerDavid Kampf10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark BorowieckiKorbinian Holzer40122
2Scott Harrington30122
3Mark BarberioJason Demers20122
4Erik GudbransonMark Borowiecki10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakub VranaBarrett HaytonPeter Holland60122
2Sergei GoncharukDrake RymshaJordan Nolan40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark BorowieckiKorbinian Holzer60122
2Scott Harrington40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Barrett HaytonDrake Rymsha60122
2Jakub VranaPeter Holland40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark BorowieckiKorbinian Holzer60122
2Scott Harrington40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Barrett Hayton60122Mark BorowieckiKorbinian Holzer60122
2Drake Rymsha40122Scott Harrington40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Barrett HaytonDrake Rymsha60122
2Jakub VranaPeter Holland40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark BorowieckiKorbinian Holzer60122
2Scott Harrington40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub VranaBarrett HaytonPeter HollandMark BorowieckiKorbinian Holzer
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub VranaBarrett HaytonPeter HollandMark BorowieckiKorbinian Holzer
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Igor Larionov, Stefan Noesen, Jack DuganIgor Larionov, Stefan NoesenJack Dugan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Barberio, Jason Demers, Erik GudbransonMark BarberioJason Demers, Erik Gudbranson
Tirs de pénalité
Barrett Hayton, Drake Rymsha, Jakub Vrana, Peter Holland, Sergei Goncharuk
Gardien
#1 : Justus Annunen, #2 : Petr Mrazek
Lignes d’attaque personnalisées en prolongation
Barrett Hayton, Drake Rymsha, Jakub Vrana, Peter Holland, Sergei Goncharuk, Jordan Nolan, Jordan Nolan, Igor Larionov, Stefan Noesen, Jack Dugan, Chris Wagner
Lignes de défense personnalisées en prolongation
Mark Borowiecki, Korbinian Holzer, , Scott Harrington, Mark Barberio


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
1SKA11000000312110000003120000000000021.000347000120441582104114230100.00%10100.00%0142751.85%173253.13%81457.14%2012228168
Total11000000312110000003120000000000021.000347000120441582104114230100.00%10100.00%0142751.85%173253.13%81457.14%2012228168
_Since Last GM Reset11000000312110000003120000000000021.000347000120441582104114230100.00%10100.00%0142751.85%173253.13%81457.14%2012228168
_Vs Conference11000000312110000003120000000000021.000347000120441582104114230100.00%10100.00%0142751.85%173253.13%81457.14%2012228168
_Vs Division11000000312110000003120000000000021.000347000120441582104114230100.00%10100.00%0142751.85%173253.13%81457.14%2012228168

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W134744411423000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
110000031
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000031
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
100.00%10100.00%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
1582100120
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
142751.85%173253.13%81457.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2012228168


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 - 2024-04-181SKA1Thunderbirds3BWSommaire du match
3 - 2024-04-209SKA-Thunderbirds-
5 - 2024-04-2217Thunderbirds-SKA-
7 - 2024-04-2425Thunderbirds-SKA-
9 - 2024-04-2633SKA-Thunderbirds-
11 - 2024-04-2841Thunderbirds-SKA-
13 - 2024-04-3049SKA-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7535
Assistance1,419699
Assistance PCT70.95%69.90%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 2118 - 70.60% 163,612$163,612$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,295,000$ 3,295,000$ 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$ 12 0$ 0$




Thunderbirds 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
1Barrett Hayton455127235362-12172720124013969.10%130863818.992862902032241414751.05%10.84519
2Tyler Benson326123173296-4090266516100512.24%58683220.96613697223044033851.57%00.8744
3Brett Pollock456138158296-52130688562117011.79%64859118.84206787212101329548.06%80.6935
4Mathieu Joseph31211214826044272904584101211.07%80522016.7316244012000008446.91%01.0004
5Shane Bowers44589171260-1819064099611108.02%56741616.67143751179044135254.15%00.70413

Thunderbirds 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
1Jon Gillies344144153290.8953.431949738711161065701300.63054
2Justus Annunen95494140.9113.125302822763109316110.87516
3Petr Mrazek59351490.9302.603532401532180975230.70824
4Al Montoya48161240.9252.492120008811680040.75016
5Adam Wilcox3741700.8804.4316250012099801000

Thunderbirds 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
Saison régulière
202076253607512249267-1838141504311132135-338112103201117132-15732494517001188866710241981979278932253371759917272495522.09%2395278.24%21306261150.02%1401272551.41%627126349.64%182112571789559976487
202076253607512249267-1838141504311132135-338112103201117132-15732494517001188866710241981979278932253371759917272495522.09%2395278.24%21306261150.02%1401272551.41%627126349.64%182112571789559976487
202176273902332235252-1738131901212120134-1438142001120115118-3692354246590380876311242175583480941251870170019042544316.93%3027674.83%21387267251.91%1394281649.50%646127850.55%180412451822564970480
2022763332062212542441038181601120114106838151605101140138285254461715028090768244779979382246255273375317973126119.55%3006279.33%21389270851.29%1520293151.86%600119250.34%172311671900580966472
2023763423067332792126738201202310144935138141104423135119169627947175040841008614335412831090942672937100299219231885227.66%2114578.67%51250235952.99%1104216750.95%606115852.33%1717106415966841308632
Total Saison régulière3801441660282210101266124224190797701212646426033919065890161046624639-1539612662258352467420449359531306044754301415121813073387036439078125226621.25%129128777.77%1366381296151.22%68201336451.03%3106615450.47%888859938899294851982561
Séries éliminatoires
202214770000040382624000001718-185300000232031440731131219127248818216412517454139141353641218.75%651675.38%128555751.17%25051049.02%9820348.28%32922434710818488
20231100000031211000000312000000000002347000120441582104114230100.00%10100.00%0142751.85%173253.13%81457.14%2012228168
Total Séries éliminatoires15870000043394734000002019185300000232031643771201219139253219717214617495153143383651218.46%661675.76%129958451.20%26754249.26%10621748.85%35023636911720197

Thunderbirds 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
1Travis Sanheim144913308313013.33%2536926.42437200000110%10.7000
2Dominik Simon143912762335397.69%432122.970551000001056.86%00.7500
3Shane Bowers14651142031213915.38%127819.90044800001048.39%10.7900
4Brett Pollock144610449173112.90%323917.132351300000013.33%00.8300
5Drake Rymsha152792112546474.26%425517.04000500001050.70%00.7000

Thunderbirds 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
1Adam Wilcox106400.9252.42620222533301000
2Justus Annunen52300.9192.612990013161210100