Connexion

Thunderbirds
GP: 47 | W: 29 | L: 16 | OTL: 2 | P: 60
GF: 169 | GA: 144 | PP%: 25.32% | PK%: 79.27%
DG: Richard Chaput | Morale : 64 | Moyenne d’équipe : 64
Prochains matchs #801 vs Reign
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Centre de jeu
Thunderbirds
29-16-2, 60pts
2
FINAL
3 Canucks
33-12-4, 70pts
Team Stats
W1SéquenceW8
15-9-1Fiche domicile18-5-1
14-7-1Fiche domicile15-7-3
8-2-0Derniers 10 matchs8-2-0
3.60Buts par match 3.82
3.06Buts contre par match 3.10
25.32%Pourcentage en avantage numérique23.53%
79.27%Pourcentage en désavantage numérique82.07%
PenguinsF
28-18-3, 59pts
2
FINAL
3 Thunderbirds
29-16-2, 60pts
Team Stats
L1SéquenceW1
14-7-3Fiche domicile15-9-1
14-11-0Fiche domicile14-7-1
4-5-1Derniers 10 matchs8-2-0
3.67Buts par match 3.60
3.22Buts contre par match 3.06
29.25%Pourcentage en avantage numérique25.32%
75.17%Pourcentage en désavantage numérique79.27%
Reign
18-25-5, 41pts
2023-12-11
Thunderbirds
29-16-2, 60pts
Statistiques d’équipe
OTL1SéquenceW1
10-12-3Fiche domicile15-9-1
8-13-2Fiche visiteur14-7-1
7-2-110 derniers matchs8-2-0
3.23Buts par match 3.60
4.10Buts contre par match 3.60
19.62%Pourcentage en avantage numérique25.32%
70.59%Pourcentage en désavantage numérique79.27%
Silver Knights
26-17-4, 56pts
2023-12-15
Thunderbirds
29-16-2, 60pts
Statistiques d’équipe
W1SéquenceW1
12-12-1Fiche domicile15-9-1
14-5-3Fiche visiteur14-7-1
6-3-110 derniers matchs8-2-0
3.45Buts par match 3.60
3.21Buts contre par match 3.60
23.38%Pourcentage en avantage numérique25.32%
72.61%Pourcentage en désavantage numérique79.27%
Thunderbirds
29-16-2, 60pts
2023-12-16
Gulls
23-22-4, 50pts
Statistiques d’équipe
W1SéquenceW1
15-9-1Fiche domicile16-6-3
14-7-1Fiche visiteur7-16-1
8-2-010 derniers matchs7-3-0
3.60Buts par match 3.04
3.06Buts contre par match 3.04
25.32%Pourcentage en avantage numérique29.10%
79.27%Pourcentage en désavantage numérique76.19%
Meneurs d'équipe
Buts
Brendan Lemieux
22
Passes
Teddy Blueger
33
Points
Brendan Lemieux
46
Plus/Moins
J.T. Brown
19
Victoires
Maxime Lagace
17
Pourcentage d’arrêts
Jeff Glass
0.905

Statistiques d’équipe
Buts pour
169
3.60 GFG
Tirs pour
1490
31.70 Avg
Pourcentage en avantage numérique
25.3%
39 GF
Début de zone offensive
42.5%
Buts contre
144
3.06 GAA
Tirs contre
1322
28.13 Avg
Pourcentage en désavantage numérique
79.3%%
34 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralRichard Chaput
EntraîneurDenis Savard
DivisionDivision Centrale
ConférenceConference 2
CapitaineJayson Megna
Assistant #1J.T. Brown
Assistant #2Brandon Duhaime


Informations de l’aréna

Capacité3,000
Assistance1,865
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 55
Espoirs27


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
1Brendan LemieuxX99.00797563747373827367716975676355628866X02732,350,000$
2Jesse JoensuuX100.0076627869737582686367696965716835806503612,100,000$
3Brandon Duhaime (A)X100.0078886476707388736271707066584966696502631,500,000$
4Leo KomarovX100.0081455970697467677467656662747130636503621,550,000$
5J.T. Brown (A)X100.0070588369667088696367697568756145766503311,900,000$
6Teddy BluegerX100.0065498870687791717272717571615056836502911,700,000$
7Miikka SalomakiX100.0064439568717176706369687266584853886403031,375,000$
8Ludvig RensfeldtX100.0072487968717381696471696572635846766403111,500,000$
9Jayson Megna (C)X100.0068459072717673696871647062604942596403321,850,000$
10Daniel AudetteX100.0070457772667777707170696760585260766402721,100,000$
11Carter RowneyX100.0065459971737369706567687066615438886403431,325,000$
12Kole Lind (R)X100.006445907270707068667070646445456076630253750,000$
13Alexei MarchenkoX100.0060399070747583634567577360746245766503111,700,000$
14Raphael DiazX100.0052419366707173664568637160876428576403711,725,000$
15Jack Rathbone (R)X100.006645917066727271456969726345456073640243900,000$
16Patrick SieloffX100.0070628169727070714567707368454556856402931,375,000$
17Mark BorowieckiX100.0068556070737075694565657263705342846303431,100,000$
18Taylor FedunX100.0061459271726972704568706966605034536303521,400,000$
Rayé
1Jordan CaronX100.0078587667746775696365656865716148206403311,750,000$
2Oscar MollerX100.0051369468696775666766646463797339206303411,750,000$
3Cody McLeodX100.0065547467706770646862626960826526206203911,150,000$
4Luke AdamX100.0057439568737072686966656962584947266203321,300,000$
5Anthony PelusoX100.007770766377647561655958716266593820610341975,000$
6Henrik SamuelssonX100.006855696675686464716260716353524920600291750,000$
7Simon DespresX94.0067468868757075704566657563595050736503231,675,000$
8Tyler WotherspoonX100.0061449269736769704568677165494553326303031,100,000$
9Jakub JerabekX100.0061459571707173704569667064494646306303231,150,000$
10Cameron GaunceX100.0062459468726969674565647063494642206203321,450,000$
11Yann SauveX100.006448826973717164456361676055454920610331900,000$
MOYENNE D’ÉQUIPE99.72675183697171756858676670646254465764
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
1Maxime Lagace100.007678757879778081828083505453756403031,450,000$
2Jeff Glass100.006675777974687373727479807724836303811,750,000$
Rayé
1Chet Pickard100.00697573797674737374727362654626620341950,000$
MOYENNE D’ÉQUIPE100.0070767579767375767675786465416163
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Denis Savard64926476999946CAN605100,000$


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
1Brendan LemieuxThunderbirds (Stl)LW47222446150076651725311112.79%1491019.379817381200222924145.45%19800101.0100000226
2Teddy BluegerThunderbirds (Stl)C47123345174019104144521358.33%894520.11213151711812331213251.94%123600000.9501000251
3Patrick SieloffThunderbirds (Stl)D4793342136115783174215812.16%6099421.167916421190110119110%000000.8400003441
4Brandon DuhaimeThunderbirds (Stl)RW44171835432107148123269813.82%479418.076511271121012614143.24%7400000.8812002522
5Jack RathboneThunderbirds (Stl)D471223355395703271273616.90%4599921.266121840121011089210%000000.7000010102
6Daniel AudetteThunderbirds (Stl)C47121931-21203858101367111.88%481717.4004426123000032150.14%103500000.7600000231
7J.T. BrownThunderbirds (Stl)RW47121729191603432105287911.43%1082817.620000101121271053.23%6200000.7024000211
8Jesse JoensuuThunderbirds (Stl)LW47111526173915592896235411.46%669014.68101140000101137.04%5400000.7500102231
9Jayson MegnaThunderbirds (Stl)C371311243140213155173523.64%544812.1123513670001122050.68%44000001.0700000130
10Kole LindThunderbirds (Stl)RW479122122032279815679.18%457112.1642636125000002148.84%4300000.7300000201
11Ludvig RensfeldtThunderbirds (Stl)LW4781119-5100282877295610.39%159012.5626825124000010041.46%4100000.6414000102
12Simon DespresThunderbirds (Stl)D3721517434046274016165.00%6069718.8500013000185000%000000.4900000001
13Miikka SalomakiThunderbirds (Stl)RW4711516-22074794206211.70%1061813.1500021420241310046.72%13700000.5211000121
14Carter RowneyThunderbirds (Stl)LW467916560113667244510.45%84469.7100000000033047.22%3600000.7200000011
15Raphael DiazThunderbirds (Stl)D38213153607203210256.25%3777220.340551798000067000%000000.3900000101
16Alexei MarchenkoThunderbirds (Stl)D470141461203033196140%5492219.63000010001125000%000000.3000000000
17Mark BorowieckiThunderbirds (Stl)D3639121126070282591212.00%3564517.9400028011062100%000000.3700000002
18Leo KomarovThunderbirds (Stl)C413811-120044324310286.98%13979.7000000000000048.18%46700000.5500000001
19Taylor FedunThunderbirds (Stl)D29189-410021213310243.03%3355319.100331975112115000%000000.3200000000
20Luke AdamThunderbirds (Stl)C17011-600416156140%21679.8800000000000055.84%19700000.1200000000
21Jordan CaronThunderbirds (Stl)RW3011-200224200%04515.22000000000000100.00%200000.4400000000
22Tyler WotherspoonThunderbirds (Stl)D1000000302010%11919.900000100002000%00000000000000
Statistiques d’équipe totales ou en moyenne84616629946588395457717461490440104111.14%4021387816.4139701093061240591417113326950.10%402200100.67512117262625
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
1Maxime LagaceThunderbirds (Stl)29171010.8823.46154421897560000.700102918101
2Jeff GlassThunderbirds (Stl)2512610.9052.50129421545660001.00031829011
Statistiques d’équipe totales ou en moyenne54291620.8923.022838421431322000134747112


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alexei MarchenkoThunderbirds (Stl)D311992-01-02No210 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Anthony PelusoThunderbirds (Stl)RW341989-04-18No225 Lbs6 ft2NoNoN/ANoNo1Pro & Farm975,000$0$0$No------------------Lien
Brandon DuhaimeThunderbirds (Stl)RW261997-05-22No200 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Brendan LemieuxThunderbirds (Stl)LW271996-03-15No215 Lbs6 ft1NoYesN/ANoNo3Pro & Farm2,350,000$0$0$No2,350,000$2,350,000$-------NoNo-------Lien
Cameron GaunceThunderbirds (Stl)D331990-03-19No196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,450,000$0$0$No1,450,000$--------No--------Lien
Carter RowneyThunderbirds (Stl)LW341989-05-10No207 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,325,000$0$0$No1,325,000$1,325,000$-------NoNo-------Lien
Chet PickardThunderbirds (Stl)G341989-11-29No216 Lbs6 ft2NoNoN/ANoNo1Pro & Farm950,000$0$0$No------------------Lien
Cody McLeodThunderbirds (Stl)LW391984-06-26No210 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,150,000$0$0$No------------------Lien
Daniel AudetteThunderbirds (Stl)C271996-05-06No165 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Henrik SamuelssonThunderbirds (Stl)C291994-02-07No219 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
J.T. BrownThunderbirds (Stl)RW331990-07-02No166 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,900,000$0$0$No------------------Lien
Jack RathboneThunderbirds (Stl)D241999-05-20Yes177 Lbs5 ft10NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Jakub JerabekThunderbirds (Stl)D321991-05-12No194 Lbs5 ft10NoNoN/ANoNo3Pro & Farm1,150,000$0$0$No1,150,000$1,150,000$-------NoNo-------Lien
Jayson MegnaThunderbirds (Stl)C331990-02-01No195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,850,000$0$0$No1,850,000$--------No--------Lien
Jeff GlassThunderbirds (Stl)G381985-11-19No206 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,750,000$0$0$No------------------Lien
Jesse JoensuuThunderbirds (Stl)LW361987-10-05No211 Lbs6 ft3NoNoN/ANoNo1Pro & Farm2,100,000$0$0$No------------------Lien
Jordan CaronThunderbirds (Stl)RW331990-11-02No204 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,750,000$0$0$No------------------Lien
Kole LindThunderbirds (Stl)RW251998-10-16Yes193 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Leo KomarovThunderbirds (Stl)C361987-01-23No205 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,550,000$0$0$No1,550,000$--------No--------Lien
Ludvig RensfeldtThunderbirds (Stl)LW311992-01-29No199 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Luke AdamThunderbirds (Stl)C331990-06-18No206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Mark BorowieckiThunderbirds (Stl)D341989-07-12No204 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------NoNo-------Lien
Maxime LagaceThunderbirds (Stl)G301993-01-12No190 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,450,000$0$0$No1,450,000$1,450,000$-------NoNo-------Lien
Miikka SalomakiThunderbirds (Stl)RW301993-03-09No205 Lbs5 ft11NoNoN/ANoNo3Pro & Farm1,375,000$0$0$No1,375,000$1,375,000$-------NoNo-------Lien
Oscar MollerThunderbirds (Stl)C341989-01-22No181 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,750,000$0$0$No------------------Lien
Patrick SieloffThunderbirds (Stl)D291994-05-15No205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,375,000$0$0$No1,375,000$1,375,000$-------NoNo-------Lien
Raphael DiazThunderbirds (Stl)D371986-01-09No197 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,725,000$0$0$No------------------Lien
Simon Despres (sur la masse salariale)Thunderbirds (Stl)D321991-07-27No218 Lbs6 ft4NoNoN/ANoNo3Pro & Farm1,675,000$0$0$Yes1,675,000$1,675,000$-------NoNo-------Lien
Taylor FedunThunderbirds (Stl)D351988-06-04No200 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,400,000$0$0$No1,400,000$--------No--------Lien
Teddy BluegerThunderbirds (Stl)C291994-08-15No185 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Tyler WotherspoonThunderbirds (Stl)D301993-03-12No207 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------NoNo-------Lien
Yann SauveThunderbirds (Stl)D331990-02-18No215 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3231.91201 Lbs6 ft11.941,415,625$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesse JoensuuTeddy BluegerJ.T. Brown30014
2Brendan LemieuxDaniel AudetteBrandon Duhaime30023
3Ludvig RensfeldtLeo KomarovMiikka Salomaki20131
4Carter RowneyJayson MegnaKole Lind20032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexei MarchenkoJack Rathbone34032
2Mark BorowieckiRaphael Diaz33032
3Patrick SieloffTaylor Fedun33032
4Patrick SieloffTaylor Fedun0041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxTeddy BluegerBrandon Duhaime50005
2Ludvig RensfeldtDaniel AudetteKole Lind50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack RathbonePatrick Sieloff50005
2Jayson MegnaRaphael Diaz50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brendan LemieuxMiikka Salomaki50041
2Teddy BluegerJ.T. Brown50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taylor FedunJack Rathbone50140
2Alexei MarchenkoPatrick Sieloff50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brendan Lemieux50050Taylor FedunJack Rathbone50140
2J.T. Brown50050Alexei MarchenkoPatrick Sieloff50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Teddy BluegerBrendan Lemieux50122
2Daniel AudetteJ.T. Brown50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack RathboneTaylor Fedun50122
2Patrick SieloffAlexei Marchenko50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxTeddy BluegerKole LindJack RathbonePatrick Sieloff
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxTeddy BluegerJ.T. BrownPatrick SieloffTaylor Fedun
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jayson Megna, Carter Rowney, Kole LindMiikka Salomaki, Jesse JoensuuBrandon Duhaime
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Taylor Fedun, Raphael Diaz, Patrick SieloffMark BorowieckiMark Borowiecki, Raphael Diaz
Tirs de pénalité
Ludvig Rensfeldt, Teddy Blueger, J.T. Brown, Miikka Salomaki, Brandon Duhaime
Gardien
#1 : Jeff Glass, #2 : Maxime Lagace


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
1Admirals220000001349110000008441100000050541.000132639017548435754825164842044128439333.33%4175.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
2Barracuda31100100810-2110000004312010010047-330.5008142200754843598482516484206919355312216.67%10370.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
3BruinsF11000000321000000000001100000032121.000347007548435384825164842023562111100.00%30100.00%1853170849.94%769154049.94%39377450.78%11287671094351617309
4Canucks4020002014140201000108802010001066040.500141933007548435994825164842011449347613323.08%17382.35%1853170849.94%769154049.94%39377450.78%11287671094351617309
5Checkers1010000024-21010000024-20000000000000.000246007548435274825164842040151217300.00%50100.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
6Comets11000000532110000005320000000000021.0005101500754843527482516484202310141422100.00%7271.43%0853170849.94%769154049.94%39377450.78%11287671094351617309
7Condors31100001121112010000179-21100000052330.500122032007548435110482516484209123275318633.33%11463.64%0853170849.94%769154049.94%39377450.78%11287671094351617309
8Crunch1010000025-31010000025-30000000000000.00024600754843526482516484202651016200.00%5180.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
9Eagles430000101248210000105232200000072581.00012213300754843512548251648420973939621119.09%160100.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
10Firebirds11000000303110000003030000000000021.0003690175484354448251648420141128600.00%10100.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
11Griffins312000001013-31010000012-121100000911-220.333101828007548435844825164842010522285510220.00%13561.54%1853170849.94%769154049.94%39377450.78%11287671094351617309
12Icehogs11000000541110000005410000000000021.0005914007548435424825164842026411135240.00%3166.67%0853170849.94%769154049.94%39377450.78%11287671094351617309
13Iowa Wild11000000312110000003120000000000021.00036900754843533482516484202696135120.00%30100.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
14Islanders11000000422000000000001100000042221.0004711007548435324825164842020413134250.00%30100.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
15Monsters32100000141221010000025-322000000127540.667142539007548435109482516484209631264511327.27%12375.00%1853170849.94%769154049.94%39377450.78%11287671094351617309
16Moose11000000532110000005320000000000021.000510150075484352848251648420306217100.00%110.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
17PenguinsF22000000853220000008530000000000041.000813210075484356548251648420543119354125.00%7185.71%0853170849.94%769154049.94%39377450.78%11287671094351617309
18Reign32100000161331010000056-122000000117440.6671627430075484359848251648420961633519555.56%14378.57%1853170849.94%769154049.94%39377450.78%11287671094351617309
19Roadrunners3120000079-2211000006601010000013-220.333713200075484358948251648420982819519222.22%7357.14%0853170849.94%769154049.94%39377450.78%11287671094351617309
20Rocket11000000431000000000001100000043121.000481200754843528482516484202488173266.67%30100.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
21StarsF30300000512-71010000024-22020000038-500.00059140075484358948251648420972020389111.11%9277.78%0853170849.94%769154049.94%39377450.78%11287671094351617309
22Wolves1010000023-1000000000001010000023-100.0002460075484353948251648420234418300.00%20100.00%0853170849.94%769154049.94%39377450.78%11287671094351617309
23Wranglers3300000012752200000010641100000021161.000122234007548435854825164842086312342400.00%8187.50%0853170849.94%769154049.94%39377450.78%11287671094351617309
Total472616001311691442525139000219180112213700110786414600.63816929946802754843514904825164842013224023997711543925.32%1643479.27%5853170849.94%769154049.94%39377450.78%11287671094351617309
_Since Last GM Reset472616001311691442525139000219180112213700110786414600.63816929946802754843514904825164842013224023997711543925.32%1643479.27%5853170849.94%769154049.94%39377450.78%11287671094351617309
_Vs Conference3618130013113111417188700021666061810600110655411440.61113122936001754843511364825164842010453033095951253124.80%1272977.17%4853170849.94%769154049.94%39377450.78%11287671094351617309
_Vs Division156300000503713922000003424106410000016133120.400509414401754843548148251648420418118105237491020.41%43881.40%0853170849.94%769154049.94%39377450.78%11287671094351617309

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4760W11692994681490132240239977102
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4726160131169144
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2513900219180
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2213701107864
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1543925.32%1643479.27%5
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
482516484207548435
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
853170849.94%769154049.94%39377450.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11287671094351617309


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
2 - 2023-08-2611Monsters5Thunderbirds2BLSommaire du match
3 - 2023-08-2720Thunderbirds1Roadrunners3ALSommaire du match
6 - 2023-08-3043Thunderbirds4Canucks3AWXXSommaire du match
7 - 2023-08-3154Thunderbirds2StarsF3ALSommaire du match
9 - 2023-09-0263Admirals4Thunderbirds8BWSommaire du match
11 - 2023-09-0488Thunderbirds5Reign3AWSommaire du match
13 - 2023-09-0695Condors5Thunderbirds4BLSommaire du match
16 - 2023-09-09120StarsF4Thunderbirds2BLSommaire du match
18 - 2023-09-11138Eagles1Thunderbirds2BWXXSommaire du match
19 - 2023-09-12146Thunderbirds3Eagles1AWSommaire du match
22 - 2023-09-15167Griffins2Thunderbirds1BLSommaire du match
24 - 2023-09-17178Thunderbirds2Wranglers1AWSommaire du match
27 - 2023-09-20205Wranglers3Thunderbirds5BWSommaire du match
31 - 2023-09-24231Barracuda3Thunderbirds4BWSommaire du match
35 - 2023-09-28257Canucks4Thunderbirds5BWXXSommaire du match
38 - 2023-10-01279Thunderbirds2Wolves3ALSommaire du match
39 - 2023-10-02289Comets3Thunderbirds5BWSommaire du match
42 - 2023-10-05312Thunderbirds5Griffins4AWSommaire du match
43 - 2023-10-06321Eagles1Thunderbirds3BWSommaire du match
46 - 2023-10-09341Thunderbirds4Islanders2AWSommaire du match
47 - 2023-10-10353Roadrunners3Thunderbirds1BLSommaire du match
51 - 2023-10-14380Thunderbirds4Rocket3AWSommaire du match
52 - 2023-10-15386Moose3Thunderbirds5BWSommaire du match
55 - 2023-10-18412Thunderbirds0Barracuda2ALSommaire du match
57 - 2023-10-20418Condors4Thunderbirds3BLXXSommaire du match
60 - 2023-10-23448Roadrunners3Thunderbirds5BWSommaire du match
62 - 2023-10-25463Thunderbirds3BruinsF2AWSommaire du match
64 - 2023-10-27475Thunderbirds7Monsters3AWSommaire du match
65 - 2023-10-28480Icehogs4Thunderbirds5BWSommaire du match
68 - 2023-10-31499Thunderbirds1StarsF5ALSommaire du match
70 - 2023-11-02512Canucks4Thunderbirds3BLSommaire du match
74 - 2023-11-06538Thunderbirds4Griffins7ALSommaire du match
75 - 2023-11-07548Firebirds0Thunderbirds3BWSommaire du match
79 - 2023-11-11573Thunderbirds4Barracuda5ALXSommaire du match
80 - 2023-11-12580Checkers4Thunderbirds2BLSommaire du match
83 - 2023-11-15607Thunderbirds5Admirals0AWSommaire du match
84 - 2023-11-16613Crunch5Thunderbirds2BLSommaire du match
87 - 2023-11-19640Wranglers3Thunderbirds5BWSommaire du match
89 - 2023-11-21649Thunderbirds5Condors2AWSommaire du match
91 - 2023-11-23662Thunderbirds5Monsters4AWSommaire du match
92 - 2023-11-24675Iowa Wild1Thunderbirds3BWSommaire du match
94 - 2023-11-26690Thunderbirds4Eagles1AWSommaire du match
96 - 2023-11-28707PenguinsF3Thunderbirds5BWSommaire du match
100 - 2023-12-02736Reign6Thunderbirds5BLSommaire du match
102 - 2023-12-04746Thunderbirds6Reign4AWSommaire du match
104 - 2023-12-06763Thunderbirds2Canucks3ALSommaire du match
105 - 2023-12-07771PenguinsF2Thunderbirds3BWSommaire du match
109 - 2023-12-11801Reign-Thunderbirds-
113 - 2023-12-15833Silver Knights-Thunderbirds-
114 - 2023-12-16844Thunderbirds-Gulls-
116 - 2023-12-18858Thunderbirds-Bears-
118 - 2023-12-20867StarsF-Thunderbirds-
122 - 2023-12-24896Thunderbirds-Icehogs-
123 - 2023-12-25903Admirals-Thunderbirds-
126 - 2023-12-28927Thunderbirds-Icehogs-
127 - 2023-12-29931Iowa Wild-Thunderbirds-
130 - 2024-01-01960Silver Knights-Thunderbirds-
133 - 2024-01-04980Thunderbirds-Admirals-
135 - 2024-01-06993Griffins-Thunderbirds-
136 - 2024-01-071000Thunderbirds-StarsF-
139 - 2024-01-101021Thunderbirds-Condors-
140 - 2024-01-111028Wolf Pack-Thunderbirds-
144 - 2024-01-151057Thunderbirds-Silver Knights-
145 - 2024-01-161065Admirals-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2024-01-201089Phantoms-Thunderbirds-
150 - 2024-01-211101Thunderbirds-SenatorsF-
153 - 2024-01-241121Icehogs-Thunderbirds-
156 - 2024-01-271137Thunderbirds-Gulls-
158 - 2024-01-291153Thunderbirds-Silver Knights-
159 - 2024-01-301156Monsters-Thunderbirds-
160 - 2024-01-311172Thunderbirds-Marlies-
162 - 2024-02-021186Gulls-Thunderbirds-
165 - 2024-02-051205Thunderbirds-Americans-
167 - 2024-02-071218Monsters-Thunderbirds-
170 - 2024-02-101241Thunderbirds-Wranglers-
171 - 2024-02-111249Thunderbirds-SenatorsF-
172 - 2024-02-121250Thunderbirds-Iowa Wild-
174 - 2024-02-141260Barracuda-Thunderbirds-
175 - 2024-02-151264Thunderbirds-Roadrunners-
177 - 2024-02-171281Thunderbirds-Iowa Wild-
179 - 2024-02-191295Gulls-Thunderbirds-
180 - 2024-02-201298Thunderbirds-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4025
Assistance33,65012,972
Assistance PCT67.30%51.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 1865 - 62.16% 96,877$2,421,937$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,614,169$ 4,362,500$ 4,362,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,555,925$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,550,040$ 76 24,519$ 1,863,444$




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

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

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

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

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