Connexion

Thunderbirds
GP: 10 | W: 7 | L: 2 | OTL: 1 | P: 15
GF: 41 | GA: 32 | PP%: 20.00% | PK%: 96.67%
DG: Richard Houdier | Morale : 50 | Moyenne d’équipe : 68
Prochain matchs #160 vs Eagles
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Centre de jeu
Eagles
9-1-1, 19pts
2
FINAL
3 Thunderbirds
7-2-1, 15pts
Team Stats
W1StreakW2
3-1-0Home Record3-1-1
6-0-1Away Record4-1-0
8-1-1Last 10 Games7-2-1
4.55Buts par match 4.10
2.82Buts contre par match 3.20
26.23%Pourcentage en avantage numérique20.00%
82.86%Pourcentage en désavantage numérique96.67%
Thunderbirds
7-2-1, 15pts
5
FINAL
4 Moose
5-4-2, 12pts
Team Stats
W2StreakOTL1
3-1-1Home Record2-2-1
4-1-0Away Record3-2-1
7-2-1Last 10 Games5-3-2
4.10Buts par match 3.82
3.20Buts contre par match 4.18
20.00%Pourcentage en avantage numérique18.92%
96.67%Pourcentage en désavantage numérique68.85%
Thunderbirds
7-2-1, 15pts
2022-08-02
Eagles
9-1-1, 19pts
Statistiques d’équipe
W2SéquenceW1
3-1-1Fiche domicile3-1-0
4-1-0Fiche visiteur6-0-1
7-2-110 derniers matchs8-1-1
4.10Buts par match 4.55
3.20Buts contre par match 2.82
20.00%Pourcentage en avantage numérique26.23%
96.67%Pourcentage en désavantage numérique82.86%
Thunderbirds
7-2-1, 15pts
2022-08-03
Admirals
0-7-2, 2pts
Statistiques d’équipe
W2SéquenceL4
3-1-1Fiche domicile0-5-0
4-1-0Fiche visiteur0-2-2
7-2-110 derniers matchs0-7-2
4.10Buts par match 2.78
3.20Buts contre par match 5.22
20.00%Pourcentage en avantage numérique17.86%
96.67%Pourcentage en désavantage numérique75.56%
Iowa Wild
7-3-0, 14pts
2022-08-04
Thunderbirds
7-2-1, 15pts
Statistiques d’équipe
L1SéquenceW2
2-3-0Fiche domicile3-1-1
5-0-0Fiche visiteur4-1-0
7-3-010 derniers matchs7-2-1
3.50Buts par match 4.10
2.50Buts contre par match 3.20
23.40%Pourcentage en avantage numérique20.00%
97.06%Pourcentage en désavantage numérique96.67%
Meneurs d'équipe
Buts
Filip Chytil
0
Passes
Filip Chytil
0
Points
Filip Chytil
0
Plus/Moins
Filip Chytil
1
Victoires
Robert Beydoun
6
Pourcentage d’arrêts
Kaapo Kahkonen
1

Statistiques d’équipe
Buts pour
41
4.10 GFG
Tirs pour
345
34.50 Avg
Pourcentage en avantage numérique
20.0%
9 GF
Début de zone offensive
40.1%
Buts contre
32
3.20 GAA
Tirs contre
324
32.40 Avg
Pourcentage en désavantage numérique
96.7%
1 GA
Début de la zone défensive
40.3%
Information d’équipe

Directeur généralRichard Houdier
EntraîneurScott Stevens
DivisionCENTRALE
ConférenceOUEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 55
Espoirs21


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
1Jaret Anderson-Dolan0X100.00693988727087856876637066726365050720233898,000$
2Trent Frederic0X100.007782686687788664696265636164660507102441,145,000$
3Morgan Frost0X100.00593687716680866980686266716367050700231863,333$
4Kevin Stenlund0X100.007436856389817364726366626567690507002621,240,000$
5Alexander True0X100.007736826489808763706259656365670507002531,182,000$
6Martin Kaut0X100.00673983667885766457626361626465050690224761,000$
7Jack Studnicka0X100.006531896278888165766759656364670506902331,120,000$
8Matthew Strome0X100.00794087558873915453555459546365050660231879,167$
9Carsen Twarynski0X100.006338935980768859535557565865670506502421,170,000$
10Maxim Sushko (R)0X100.00726882686871755650495861554444050630231879,167$
11Alexander Khovanov0X100.00633974587273645762565354596264050620222894,167$
12Ryan Suzuki0X100.00613785567069685763585954576163050620212863,333$
13Mattias Samuelsson0X100.00844586639288875930735878506264050740222925,000$
14Urho Vaakanainen0X100.007340876580877663307058755163670507202342,147,000$
15Conor Timmins0X100.00583593757982807130686366526563050720243869,000$
16Victor Soderstrom0X100.006237896669867765306460625261630506802121,523,833$
17Lucas Johansen0X100.006137896276778364306558635065670506802431,200,000$
18Wyatt Newpower0X100.007334755682658155305654634565670506502431,300,000$
Rayé
1Aidan Dudas0X100.00613592596178895863565753596264050630222791,667$
2Jett Woo0X100.006634766075657353305554564562640506302211,044,167$
3Ty Emberson0X100.00673891577668865630555452466264050630222925,000$
4Seth Barton0X100.00683893567764615330585356456365050620232837,500$
MOYENNE D’ÉQUIPE100.0068418563777780615161596256636405067
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
1Robert Beydoun100.0076738571757476757476756973050760251800,000$
2Justus Annunen100.00747574887372747372747362670507502221,050,000$
Rayé
1Matiss Kivlenieks100.0074827877737274737274736973050760263875,000$
MOYENNE D’ÉQUIPE100.007577797974737574737574677105076
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Stevens75757575757575USA5850$


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
1Conor TimminsThunderbirds (STL)D104913-2209192492216.67%922022.051561439000029000.00%000001.1800000011
2Morgan FrostThunderbirds (STL)C10381110010323718258.11%321021.001346360001270048.12%29300001.0500000011
3Urho VaakanainenThunderbirds (STL)D1029112601418219169.52%1422622.621121438000025000.00%000000.9700000200
4Jaret Anderson-DolanThunderbirds (STL)C106511120113543143713.95%521321.371126380001281049.62%26400001.0300000200
5Alexander TrueThunderbirds (STL)C10279520814211169.52%0919.1500014000030056.31%10300001.9700000001
6Mattias SamuelssonThunderbirds (STL)D101783802722157116.67%1622622.681231137000023100.00%000000.7100000000
7Victor SoderstromThunderbirds (STL)D10268-1401615228189.09%1021821.882131338000126000.00%000000.7300000001
8Martin KautThunderbirds (STL)RW1034706011202751911.11%117517.50022329000030066.67%1500000.8000000100
9Jack StudnickaThunderbirds (STL)C10156200513249274.17%015315.3600048000000056.25%1600000.7800000010
10Kevin StenlundThunderbirds (STL)C9325-5208151892016.67%110411.5900011000002048.46%13000000.9600000010
11Matthew StromeThunderbirds (STL)LW10235120168172911.76%219919.911122330000241055.00%2000000.5000000000
12Alexander KhovanovThunderbirds (STL)C1032530012103430.00%0676.7500000000000050.00%600001.4800000000
13Maxim SushkoThunderbirds (STL)RW10224-6602091641012.50%113213.27101332000000033.33%600000.6000000000
14Carsen TwarynskiThunderbirds (STL)LW1012302010216466.25%118218.240226320001221014.29%700000.3300000001
15Wyatt NewpowerThunderbirds (STL)D10123-11201810102510.00%1515715.710001100003000.00%000000.3800000001
16Lucas JohansenThunderbirds (STL)D9033-2205134470.00%1414416.050000100005000.00%000000.4200000000
17Aidan DudasThunderbirds (STL)C92023002453840.00%1717.940000300000000.00%100000.5600000000
18Ryan SuzukiThunderbirds (STL)C9202-6401480225.00%09911.0500000000000014.29%700000.4000000000
19Trent FredericBluesC11011000031233.33%01919.32000040000010100.00%300001.0400000000
20Filip ChytilBluesC1000100032220.00%02323.0200015000030066.67%1800000.0000000000
21Nathan BastianBluesRW1000000001000.00%01515.9500015000000050.00%200000.0000000000
22Ty EmbersonThunderbirds (STL)D1000100001010.00%11414.680000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1804176117160019225834512425711.88%94296716.49918278739400042287050.06%89100000.7900000546
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
1Robert BeydounThunderbirds (STL)96110.8913.5750400302750010.000091000
2Kaapo KahkonenBlues11001.0000.0060010270000.000010100
3Justus AnnunenThunderbirds (STL)10100.9521.4342001210000.000009000
Statistiques d’équipe totales ou en moyenne117210.9043.0660701313230010.00001010100


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 restantSalaire moyenPlafond 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
Aidan DudasThunderbirds (STL)C222000-06-15No162 Lbs5 ft8NoNoNo2Pro & Farm791,667$791,667$791,667$0$0$No791,667$Lien
Alexander KhovanovThunderbirds (STL)C222000-04-12No198 Lbs5 ft11NoNoNo2Pro & Farm894,167$894,167$700,000$0$0$No894,167$Lien
Alexander TrueThunderbirds (STL)C251997-07-17No200 Lbs6 ft5NoNoNo3Pro & Farm1,182,000$1,182,000$650,000$0$0$No1,182,000$1,182,000$Lien
Carsen TwarynskiThunderbirds (STL)LW241997-11-24No198 Lbs6 ft2NoNoNo2Pro & Farm1,170,000$1,170,000$650,000$0$0$No1,170,000$Lien
Conor TimminsThunderbirds (STL)D241998-09-18No185 Lbs6 ft2NoNoNo3Pro & Farm869,000$869,000$925,000$0$0$No869,000$869,000$Lien
Jack StudnickaThunderbirds (STL)C231999-02-18No186 Lbs6 ft2NoNoNo3Pro & Farm1,120,000$1,120,000$769,168$0$0$No1,120,000$1,120,000$Lien
Jaret Anderson-DolanThunderbirds (STL)C231999-09-12No200 Lbs5 ft11NoNoNo3Pro & Farm898,000$898,000$747,500$0$0$No898,000$898,000$Lien
Jett WooThunderbirds (STL)D222000-07-27No205 Lbs6 ft0NoNoNo1Pro & Farm1,044,167$1,044,167$1,044,167$0$0$NoLien
Justus AnnunenThunderbirds (STL)G222000-03-11No210 Lbs6 ft4NoNoNo2Pro & Farm1,050,000$1,050,000$1,050,000$0$0$No1,050,000$Lien
Kevin StenlundThunderbirds (STL)C261996-09-20No211 Lbs6 ft4NoNoNo2Pro & Farm1,240,000$1,240,000$650,000$0$0$No1,240,000$Lien
Lucas JohansenThunderbirds (STL)D241997-11-16No176 Lbs6 ft2NoNoNo3Pro & Farm1,200,000$1,200,000$1,200,000$0$0$No1,200,000$1,200,000$Lien
Martin KautThunderbirds (STL)RW221999-10-02No190 Lbs6 ft2NoNoNo4Pro & Farm761,000$761,000$1,319,167$0$0$No761,000$761,000$761,000$Lien
Matiss KivlenieksThunderbirds (STL)G261996-08-26No183 Lbs6 ft2NoNoNo3Farm Only875,000$875,000$650,000$0$0$No875,000$875,000$Lien
Matthew StromeThunderbirds (STL)LW231999-01-06No206 Lbs6 ft4NoNoNo1Pro & Farm879,167$879,167$775,000$0$0$NoLien
Mattias SamuelssonThunderbirds (STL)D222000-03-14No227 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Maxim SushkoThunderbirds (STL)RW231999-02-10Yes185 Lbs6 ft0NoNoNo1Pro & Farm879,167$879,167$775,002$0$0$NoLien
Morgan FrostThunderbirds (STL)C231999-05-14No170 Lbs5 ft11NoNoNo1Pro & Farm863,333$863,333$863,334$0$0$NoLien
Robert BeydounThunderbirds (STL)G251996-10-01No185 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$800,000$0$0$NoLien
Ryan SuzukiThunderbirds (STL)C212001-05-28No176 Lbs6 ft0NoNoNo2Pro & Farm863,333$863,333$863,333$0$0$No863,333$Lien
Seth BartonThunderbirds (STL)D231999-08-18No185 Lbs6 ft2NoNoNo2Pro & Farm837,500$837,500$700,000$0$0$No837,500$Lien
Trent FredericBluesC241998-02-11No216 Lbs6 ft3NoNoNo4Pro & Farm1,145,000$1,145,000$650,000$1,145,000$1,145,000$No1,145,000$1,145,000$1,145,000$Lien
Ty EmbersonThunderbirds (STL)D222000-05-24No195 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$Lien
Urho VaakanainenThunderbirds (STL)D231999-01-01No200 Lbs6 ft2NoNoNo4Pro & Farm2,147,000$2,147,000$650,000$0$0$No2,147,000$2,147,000$2,147,000$Lien
Victor SoderstromThunderbirds (STL)D212001-02-26No184 Lbs5 ft11NoNoNo2Pro & Farm1,523,833$1,523,833$1,523,833$0$0$No1,523,833$Lien
Wyatt NewpowerThunderbirds (STL)D241997-12-09No194 Lbs6 ft3NoNoNo3Pro & Farm1,300,000$1,300,000$1,300,000$0$0$No1,300,000$1,300,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.16193 Lbs6 ft12.321,047,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew StromeJaret Anderson-DolanJack Studnicka30023
2Trent FredericMorgan FrostMartin Kaut30023
3Ryan SuzukiKevin StenlundMaxim Sushko24032
4Alexander KhovanovAlexander TrueCarsen Twarynski16032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonUrho Vaakanainen34032
2Conor TimminsVictor Soderstrom33032
3Lucas JohansenWyatt Newpower33032
4Mattias SamuelssonUrho Vaakanainen0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew StromeJaret Anderson-DolanMartin Kaut50005
2Carsen TwarynskiMorgan FrostMaxim Sushko50005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonUrho Vaakanainen50032
2Conor TimminsVictor Soderstrom50032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jaret Anderson-DolanMatthew Strome50032
2Morgan FrostCarsen Twarynski50032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonUrho Vaakanainen50032
2Conor TimminsVictor Soderstrom50032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jaret Anderson-Dolan50032Mattias SamuelssonUrho Vaakanainen50032
2Morgan Frost50032Conor TimminsVictor Soderstrom50032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jaret Anderson-DolanJack Studnicka50023
2Morgan FrostCarsen Twarynski50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonUrho Vaakanainen50032
2Conor TimminsVictor Soderstrom50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew StromeJaret Anderson-DolanJack StudnickaMattias SamuelssonUrho Vaakanainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander TrueMorgan FrostMartin KautVictor SoderstromLucas Johansen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Martin Kaut, Jack Studnicka, Matthew StromeMartin Kaut, Jack StudnickaMartin Kaut
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Soderstrom, Lucas Johansen, Wyatt NewpowerVictor SoderstromVictor Soderstrom, Lucas Johansen
Tirs de pénalité
Jaret Anderson-Dolan, Morgan Frost, Kevin Stenlund, Alexander True, Martin Kaut
Gardien
#1 : Robert Beydoun, #2 : Justus Annunen
Lignes d’attaque personnalisées en prolongation
Jaret Anderson-Dolan, Morgan Frost, Kevin Stenlund, Alexander True, Martin Kaut, Jack Studnicka, Jack Studnicka, Matthew Strome, Carsen Twarynski, Maxim Sushko, Trent Frederic
Lignes de défense personnalisées en prolongation
Mattias Samuelsson, Urho Vaakanainen, Conor Timmins, Victor Soderstrom, Lucas Johansen


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
1Admirals10001000431100010004310000000000021.00047110014111334110411312173410815200.00%40100.00%017635250.00%17735350.14%9317254.07%2521762297312765
2Eagles10001000321100010003210000000000021.0003580014111333210411312173111819300.00%40100.00%017635250.00%17735350.14%9317254.07%2521762297312765
3IceHogs21000100111011000010034-11100000086230.750112132001411133851041131217561723212433.33%10100.00%017635250.00%17735350.14%9317254.07%2521762297312765
4Iowa Wild11000000202000000000001100000020221.000246011411133261041131217277811500.00%40100.00%017635250.00%17735350.14%9317254.07%2521762297312765
5Moose201010009901010000045-11000100054120.500917260014111337110411312177323145213430.77%7185.71%017635250.00%17735350.14%9317254.07%2521762297312765
6Roadrunners11000000532000000000001100000053221.000510150014111333510411312173071019300.00%50100.00%017635250.00%17735350.14%9317254.07%2521762297312765
7Texas Stars21100000752110000006241010000013-220.50071219101411133551041131217731910447114.29%50100.00%017635250.00%17735350.14%9317254.07%2521762297312765
Total1042031004132951102100201645310100021165150.75041761171114111333451041131217324946019245920.00%30196.67%017635250.00%17735350.14%9317254.07%2521762297312765
_Since Last GM Reset1042031004132951102100201645310100021165150.75041761171114111333451041131217324946019245920.00%30196.67%017635250.00%17735350.14%9317254.07%2521762297312765
_Vs Conference1042031004132951102100201645310100021165150.75041761171114111333451041131217324946019245920.00%30196.67%017635250.00%17735350.14%9317254.07%2521762297312765
_Vs Division1042031004132951102100201645310100021165150.75041761171114111333451041131217324946019245920.00%30196.67%017635250.00%17735350.14%9317254.07%2521762297312765

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1015W24176117345324946019211
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104231004132
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51121002016
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53110002116
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
45920.00%30196.67%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
10411312171411133
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
17635250.00%17735350.14%9317254.07%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2521762297312765


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 - 2022-07-177Thunderbirds2Iowa Wild0AWSommaire du match
2 - 2022-07-1817Thunderbirds5Roadrunners3AWSommaire du match
4 - 2022-07-2033Admirals3Thunderbirds4BWXSommaire du match
6 - 2022-07-2259Moose5Thunderbirds4BLSommaire du match
7 - 2022-07-2370Thunderbirds8IceHogs6AWSommaire du match
9 - 2022-07-2581Texas Stars2Thunderbirds6BWSommaire du match
10 - 2022-07-26101Thunderbirds1Texas Stars3ALSommaire du match
11 - 2022-07-27112IceHogs4Thunderbirds3BLXSommaire du match
14 - 2022-07-30136Eagles2Thunderbirds3BWXSommaire du match
16 - 2022-08-01155Thunderbirds5Moose4AWXSommaire du match
17 - 2022-08-02160Thunderbirds-Eagles-
18 - 2022-08-03166Thunderbirds-Admirals-
19 - 2022-08-04191Iowa Wild-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
23 - 2022-08-08224Roadrunners-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2012
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,503,834$ 2,102,217$ 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$ 8 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


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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