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Thunderbirds
GP: 19 | W: 13 | L: 6
GF: 74 | GA: 63 | PP%: 25.00% | PK%: 86.15%
DG: Jean-Francois Chouinard | Morale : 85 | Moyenne d’équipe : 65
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Centre de jeu
Thunderbirds
13-6-0, 26pts
2
FINAL
4 Griffins
16-7-0, 32pts
Team Stats
L3StreakW3
8-3-0Home Record8-2-0
5-3-0Away Record8-5-0
5-4-1Last 10 Games8-2-0
3.89Buts par match 4.13
3.32Buts contre par match 3.17
25.00%Pourcentage en avantage numérique28.41%
86.15%Pourcentage en désavantage numérique84.29%
Griffins
16-7-0, 32pts
4
FINAL
1 Thunderbirds
13-6-0, 26pts
Team Stats
W3StreakL3
8-2-0Home Record8-3-0
8-5-0Away Record5-3-0
8-2-0Last 10 Games5-4-1
4.13Buts par match 3.89
3.17Buts contre par match 3.32
28.41%Pourcentage en avantage numérique25.00%
84.29%Pourcentage en désavantage numérique86.15%
Meneurs d'équipe
Buts
Drake Batherson
14
Passes
Elias Lindholm
14
Points
Drake Batherson
27
Plus/Moins
Anthony Beauvillier
8
Victoires
Carter Hutton
7
Pourcentage d’arrêts
Phoenix Copley
0.9

Statistiques d’équipe
Buts pour
74
3.89 GFG
Tirs pour
622
32.74 Avg
Pourcentage en avantage numérique
25.0%
20 GF
Début de zone offensive
38.9%
Buts contre
63
3.32 GAA
Tirs contre
606
31.89 Avg
Pourcentage en désavantage numérique
86.2%%
9 GA
Début de la zone défensive
35.4%
Informations de l'équipe

Directeur généralJean-Francois Chouinard
EntraîneurPavel Bure
DivisionPaul-Loicq
ConférenceLouis-Magnus
CapitaineKirill Kaprizov
Assistant #1Drake Batherson
Assistant #2Anthony Beauvillier


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro36
Équipe Mineure20
Limite contact 56 / 250
Espoirs0


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
1Elias Lindholm (R)X100.007126877185797372736979637158484984710231800,000$
2Blake GeoffrionX100.006937737479707276637476577272612372700292800,000$
3Kirill Kaprizov (R) (C)X100.007247777474677577707073626953455983700204900,000$
4Petr StrakaX100.007323827470797577656877627461523972700251925,000$
5Patrick Brown (R)X100.006954746470607174737179597351505479690253750,000$
6Anthony Beauvillier (R) (A)X100.006848767070667170757468657245436381680204700,000$
7Dominik Kahun (R)X100.006030816964787674857969566154465584680222975,000$
8Drake Batherson (R) (A)X100.005441778957765380646569578542437077670192500,000$
9Tanner Laczynski (R)X100.005535797658695372687367597944446086660201500,000$
10Tyson Jost (R)X100.005128906973766861676558726343427484650191500,000$
11Morgan Geekie (R)X100.005829797260676767747664415243416986630192500,000$
12Morgan Frost (R)X100.005232746053635964797665435640407964600182500,000$
13Griffin Reinhart (R)X100.0070268279746778825480707058694739837202311,100,000$
14John Draeger (R)X100.006822747475717261467264836063503712700241900,000$
15Viktor Baldayev (R)X100.007049726977657169466452765248464420680223700,000$
16Filip Hronek (R)X100.006941847572677266496663726345446672680201500,000$
17Radim Simek (R)X100.007137866269636756307444794745446967670214900,000$
18Timothy Liljegren (R)X100.004626797452546570337860654540408385610182500,000$
Rayé
1Shane PrinceX100.006535816676717367746476586958583433670251750,000$
2Mitchell HeardX100.007532697376616765607170666152523120660251500,000$
3Nicklas Jensen (R)X100.006353796864697173676966586548484120660242600,000$
4Matt Puempel (R)X100.006938807168647067666571527249504620650242600,000$
5Roberts Lipsbergs (R)X100.007130736575716363756666566747504221640233550,000$
6Dylan Gambrell (R)X100.006033746065676364748270516046446120640211500,000$
7Austin Poganski (R)X100.006642747268577563606168625947444421630212500,000$
8Charles Hudon (R)X100.006639776171706664736170556445453721630231500,000$
9Calvin Thurkauf (R)X100.007751676466517866556562545242445721610201500,000$
10Adam Ruzicka (R)X100.006838646577517459476265505540408221590182500,000$
11Artur Kayumov (R)X100.006346755355595557526056506641416921560193800,000$
12Jake Walman (R)X100.006333847173716363406449754545445219660212600,000$
13Jacob Larsson (R)X98.556323767462566272447555675043446479650203700,000$
14Kale Clague (R)X84.005133797160526276347450704141427274630191500,000$
15Grant Hutton (R)X100.007648516359655045346751543351524820590221300,000$
MOYENNE D’ÉQUIPE99.47653777696866686860706561614946555265
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
1Carter Hutton100.00806261947763508980767070675279720322800,000$
2Phoenix Copley100.00716268727164556972606758562979660251600,000$
Rayé
1Artyom Zagidulin (R)100.00625557726053505051536041416820540221500,000$
MOYENNE D’ÉQUIPE100.0071606279696052696863665655505964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pavel Bure54607666334563RUS474800,000$


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
1Drake BathersonThunderbirds (Flo)RW191413271240302089295615.73%738320.1856111467000002250.00%40244021.4100000320
2Elias LindholmThunderbirds (Flo)C1981422-240425945152817.78%1244823.59471114660001591054.90%6631011000.9800000211
3Anthony BeauvillierThunderbirds (Flo)RW198816840362730132726.67%734117.950222540003293140.00%1544000.9400000021
4Blake GeoffrionThunderbirds (Flo)LW1661016860213551133511.76%426416.512136400001120150.00%12132001.2100000100
5Kirill KaprizovThunderbirds (Flo)LW1941216-218033217215355.56%338020.05145766000000075.00%20186100.8400000011
6Dominik KahunThunderbirds (Flo)LW196814-120231244161713.64%725313.34033216000022162.50%829001.1000000010
7Griffin ReinhartThunderbirds (Flo)D1941014-1012039405428237.41%4552427.612241071000140100.00%01724000.5300000100
8Patrick BrownThunderbirds (Flo)C1767137100352734121617.65%927916.440221480001251052.15%18661000.9300000023
9Filip HronekThunderbirds (Flo)D192810-48042333715175.41%3453328.09134268000159000.00%0419000.3700000110
10Petr StrakaThunderbirds (Flo)RW19639-260362048193312.50%625913.67202230001210018.18%11145000.6900000002
11Timothy LiljegrenThunderbirds (Flo)D192575801424188611.11%2336619.2811225300002100.00%059000.3800000000
12Morgan GeekieThunderbirds (Flo)C19235-360202117101411.76%523012.1500000000001047.47%9971000.4300000000
13Jacob LarssonThunderbirds (Flo)D1223558091472528.57%918015.0221333600009000.00%005000.5500000001
14Tanner LaczynskiThunderbirds (Flo)RW19404-5008102761214.81%21447.6100000000001150.00%242000.5500000000
15Radim SimekThunderbirds (Flo)D1704450016225260.00%2829217.2300000000051000.00%007000.2700000000
16Viktor BaldayevThunderbirds (Flo)D8033-12013107220.00%1013116.3900001000008000.00%017000.4600000000
17Tyson JostThunderbirds (Flo)LW19033-5201319144110.00%1121711.43000000000610071.43%738000.2800000000
18Morgan FrostThunderbirds (Flo)C19022-520121311250.00%11678.8300005000050050.00%4821000.2400000000
19John DraegerThunderbirds (Flo)D6022040781230.00%1312020.1400001000016000.00%022000.3300000001
20Mitchell HeardThunderbirds (Flo)C2011100853310.00%03919.9400003000010033.33%2401000.5000000000
21Shane PrinceThunderbirds (Flo)LW3000-100434120.00%13511.880000100000000.00%001000.00%00000000
22Kale ClagueThunderbirds (Flo)D140001204234030.00%1220714.8200006000033000.00%029000.00%00000000
Statistiques d’équipe totales ou en moyenne342741191930128046546662221735711.90%249580316.9720325265625000944113652.86%1135138138120.670000081010
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
1Carter HuttonThunderbirds (Flo)127310.8963.267172039375204110.00%0123200
2Phoenix CopleyThunderbirds (Flo)86200.9002.974650023230133100.00%0712000
Statistiques d’équipe totales ou en moyenne2013510.8983.15118320626053372101915200


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 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 RuzickaThunderbirds (Flo)C181999-01-01Yes220 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Anthony BeauvillierThunderbirds (Flo)RW201997-01-01Yes182 Lbs5 ft11NoNoNo4Pro & Farm700,000$0$0$No800,000$1,000,000$1,500,000$Lien
Artur KayumovThunderbirds (Flo)LW191998-01-01Yes176 Lbs5 ft11NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Artyom ZagidulinThunderbirds (Flo)G221995-01-01Yes181 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Austin PoganskiThunderbirds (Flo)RW211996-01-01Yes198 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Blake GeoffrionThunderbirds (Flo)LW291988-01-01No192 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No700,000$
Calvin ThurkaufThunderbirds (Flo)C201997-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Carter HuttonThunderbirds (Flo)G321985-01-01No207 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Charles HudonThunderbirds (Flo)LW231994-01-01Yes170 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$NoLien
Dominik KahunThunderbirds (Flo)LW221995-01-01Yes175 Lbs5 ft11NoNoNo2Pro & Farm975,000$0$0$No975,000$Lien
Drake BathersonThunderbirds (Flo)RW191998-01-01Yes204 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Dylan GambrellThunderbirds (Flo)C211996-01-01Yes194 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Elias LindholmThunderbirds (Flo)C231994-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$NoLien
Filip HronekThunderbirds (Flo)D201997-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Grant HuttonThunderbirds (Flo)D221995-01-01Yes207 Lbs6 ft4NoNoNo1Pro & Farm300,000$0$0$NoLien
Griffin ReinhartThunderbirds (Flo)D231994-01-01Yes206 Lbs6 ft3NoNoNo1Pro & Farm1,100,000$0$0$NoLien
Jacob LarssonThunderbirds (Flo)D201997-01-01Yes190 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No900,000$900,000$Lien
Jake WalmanThunderbirds (Flo)D211996-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$
John DraegerThunderbirds (Flo)D241993-01-01Yes186 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Kale Clague (sur la masse salariale)Thunderbirds (Flo)D191998-01-01Yes176 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$YesLien
Kirill KaprizovThunderbirds (Flo)LW201997-01-01Yes185 Lbs5 ft9NoNoNo4Pro & Farm900,000$0$0$No1,250,000$1,800,000$2,100,000$Lien
Matt PuempelThunderbirds (Flo)LW241993-01-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$
Mitchell HeardThunderbirds (Flo)C251992-01-01No188 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Morgan FrostThunderbirds (Flo)C181999-01-01Yes170 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Morgan GeekieThunderbirds (Flo)C191998-01-01Yes192 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nicklas JensenThunderbirds (Flo)RW241993-01-01Yes186 Lbs6 ft3NoNoNo2Pro & Farm600,000$0$0$No600,000$
Patrick BrownThunderbirds (Flo)C251992-01-01Yes210 Lbs6 ft1NoNoNo3Pro & Farm750,000$0$0$No950,000$950,000$Lien
Petr StrakaThunderbirds (Flo)RW251992-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
Phoenix CopleyThunderbirds (Flo)G251992-01-01No196 Lbs6 ft4NoNoNo1Pro & Farm600,000$0$0$No
Radim SimekThunderbirds (Flo)D211996-01-01Yes204 Lbs6 ft0NoNoNo4Pro & Farm900,000$0$0$No1,200,000$1,600,000$2,100,000$Lien
Roberts LipsbergsThunderbirds (Flo)LW231994-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$
Shane PrinceThunderbirds (Flo)LW251992-01-01No185 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$No
Tanner LaczynskiThunderbirds (Flo)RW201997-01-01Yes205 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Timothy LiljegrenThunderbirds (Flo)D181999-01-01Yes192 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Tyson JostThunderbirds (Flo)LW191998-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Viktor BaldayevThunderbirds (Flo)D221995-01-01Yes185 Lbs6 ft3NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3621.97191 Lbs6 ft11.86645,833$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill KaprizovElias LindholmDrake Batherson40023
2Blake GeoffrionPatrick BrownAnthony Beauvillier30023
3Dominik KahunMorgan GeekiePetr Straka20023
4Tyson JostMorgan FrostTanner Laczynski10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin ReinhartFilip Hronek40023
2John DraegerTimothy Liljegren30023
3Radim SimekViktor Baldayev20023
4Griffin ReinhartFilip Hronek10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill KaprizovElias LindholmDrake Batherson60014
2Blake GeoffrionPatrick BrownAnthony Beauvillier40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin ReinhartFilip Hronek60023
2Viktor BaldayevTimothy Liljegren40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Elias LindholmTyson Jost60131
2Patrick BrownAnthony Beauvillier40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim SimekFilip Hronek60131
2Griffin ReinhartJohn Draeger40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyson Jost60131Radim SimekFilip Hronek60140
2Anthony Beauvillier40131Griffin ReinhartJohn Draeger40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Elias LindholmKirill Kaprizov60023
2Patrick BrownDrake Batherson40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin ReinhartFilip Hronek60023
2John DraegerTimothy Liljegren40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill KaprizovElias LindholmDrake BathersonGriffin ReinhartFilip Hronek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostElias LindholmAnthony BeauvillierJohn DraegerRadim Simek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Drake Batherson, Kirill Kaprizov, Anthony BeauvillierAnthony Beauvillier, Kirill KaprizovPetr Straka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Timothy Liljegren, Griffin Reinhart, Filip HronekViktor BaldayevViktor Baldayev, John Draeger
Tirs de pénalité
Drake Batherson, Tanner Laczynski, Petr Straka, Patrick Brown, Anthony Beauvillier
Gardien
#1 : Carter Hutton, #2 : Phoenix Copley


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
1Crunch54100000191633300000012932110000077080.80019304900232326215819620819424170764612624625.00%23386.96%023144252.26%21340252.99%15629153.61%407223424188351177
2Griffins514000001117-631200000710-32020000047-320.20011172810232326216519620819424163613212514428.57%16381.25%023144252.26%21340252.99%15629153.61%407223424188351177
3Penguins44000000191092200000011652200000084481.00019325100232326214519620819424109443010623730.43%15286.67%023144252.26%21340252.99%15629153.61%407223424188351177
4Rampage5410000025205321000001211122000000139480.80025406500232326215419620819424164682210819315.79%11190.91%023144252.26%21340252.99%15629153.61%407223424188351177
Total1913600000746311118300000423668530000032275260.6847411919310232326262219620819424606249130465802025.00%65986.15%023144252.26%21340252.99%15629153.61%407223424188351177
_Since Last GM Reset1913600000746311118300000423668530000032275260.6847411919310232326262219620819424606249130465802025.00%65986.15%023144252.26%21340252.99%15629153.61%407223424188351177
_Vs Conference141220000063461787100000352696510000028208240.857631021650023232624571962081942444318898340661624.24%49687.76%023144252.26%21340252.99%15629153.61%407223424188351177
_Vs Division9810000038261255000000231584310000015114160.88938621000023232623031962081942427912076232471327.66%38586.84%023144252.26%21340252.99%15629153.61%407223424188351177

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1926L37411919362260624913046510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1913600007463
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
118300004236
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
85300003227
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
802025.00%65986.15%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
196208194242323262
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
23144252.26%21340252.99%15629153.61%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
407223424188351177


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 - 2022-10-275Crunch1Thunderbirds2BWSommaire du match
2 - 2022-10-2813Crunch5Thunderbirds6BWXSommaire du match
3 - 2022-10-2921Thunderbirds3Crunch5ALSommaire du match
4 - 2022-10-3029Thunderbirds4Crunch2AWSommaire du match
5 - 2022-10-3137Crunch3Thunderbirds4BWSommaire du match
8 - 2022-11-0359Penguins2Thunderbirds6BWSommaire du match
9 - 2022-11-0463Penguins4Thunderbirds5BWXSommaire du match
10 - 2022-11-0567Thunderbirds5Penguins3AWSommaire du match
11 - 2022-11-0671Thunderbirds3Penguins1AWSommaire du match
15 - 2022-11-1086Rampage4Thunderbirds6BWSommaire du match
16 - 2022-11-1188Rampage6Thunderbirds3BLSommaire du match
17 - 2022-11-1290Thunderbirds5Rampage3AWSommaire du match
18 - 2022-11-1392Thunderbirds8Rampage6AWSommaire du match
19 - 2022-11-1494Rampage1Thunderbirds3BWSommaire du match
22 - 2022-11-1799Griffins4Thunderbirds3BLXSommaire du match
23 - 2022-11-18100Griffins2Thunderbirds3BWSommaire du match
24 - 2022-11-19101Thunderbirds2Griffins3ALSommaire du match
25 - 2022-11-20102Thunderbirds2Griffins4ALSommaire du match
26 - 2022-11-21103Griffins4Thunderbirds1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance22,00011,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 3000 - 100.00% 89,250$981,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,325,000$ 2,180,000$ 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$




Thunderbirds 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

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 (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