Connexion

Thunderbirds
GP: 80 | W: 42 | L: 31 | OTL: 7 | P: 91
GF: 335 | GA: 331 | PP%: 20.80% | PK%: 79.02%
DG: Jean-Francois Chouinard | Morale : 45 | Moyenne d’équipe : 64
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Centre de jeu
Wolfpack
43-33-4, 90pts
3
FINAL
2 Thunderbirds
42-31-7, 91pts
Team Stats
OTL1StreakW1
24-15-1Home Record23-14-3
19-18-3Away Record19-17-4
6-2-2Last 10 Games4-6-0
4.39Buts par match 4.19
4.01Buts contre par match 4.14
23.26%Pourcentage en avantage numérique20.80%
75.85%Pourcentage en désavantage numérique79.02%
Thunderbirds
42-31-7, 91pts
5
FINAL
4 Little Stars
37-37-6, 80pts
Team Stats
W1StreakL1
23-14-3Home Record15-20-5
19-17-4Away Record22-17-1
4-6-0Last 10 Games4-6-0
4.19Buts par match 4.11
4.14Buts contre par match 4.00
20.80%Pourcentage en avantage numérique22.74%
79.02%Pourcentage en désavantage numérique78.75%
Meneurs d'équipe
Buts
Quinton Howden
53
Passes
Quinton Howden
73
Points
Quinton Howden
126
Plus/Moins
Tom Kuhnhackl
22
Victoires
Carter Hutton
29
Pourcentage d’arrêts
Igor Bobkov
0.882

Statistiques d’équipe
Buts pour
335
4.19 GFG
Tirs pour
2683
33.54 Avg
Pourcentage en avantage numérique
20.8%
68 GF
Début de zone offensive
37.1%
Buts contre
331
4.14 GAA
Tirs contre
2659
33.24 Avg
Pourcentage en désavantage numérique
79.0%
73 GA
Début de la zone défensive
36.2%
Informations de l'équipe

Directeur généralJean-Francois Chouinard
EntraîneurPavel Bure
DivisionPaul-Loicq
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,789
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure20
Limite contact 53 / 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
1Quinton Howden (R)X100.007436767671717476667668677052474362700241600,000$
2Elias Lindholm (R)X100.006826866883777070716777607049455455690222750,000$
3Jerry D'Amigo (R)X100.006734797169796866687270676753493559680252800,000$
4Valentin Zykov (R)X100.006826817769776871606878576849445365680211650,000$
5Kirill Kaprizov (R)X100.006947757071637373676668596444426535660191500,000$
6Tom Kuhnhackl (R)X100.006431757471697170636667667148463665660242700,000$
7Hudson Fasching (R)X100.006324727675727263636573606545435448650212550,000$
8Mitchell Heard (R)X100.007332677174586762567170675848503465650242500,000$
9Matt Puempel (R)X100.006738786968666864636469527047475144640233550,000$
10Nicklas Jensen (R)X100.006153786566677271676766556545454524640231550,000$
11Roberts Lipsbergs (R)X100.006930726273696564746466546746474634630221500,000$
12Tanner Laczynski (R)X100.005035777453654769626964567743436755620192500,000$
13Griffin Reinhart (R)X100.006726817771657580518267705560464363710222950,000$
14Michal Jordan (R)X100.006824807373757072597469686571603334700261600,000$
15Niklas Hansson (R)X100.007016797465767461447350855356444865700211500,000$
16John Draeger (R)X100.006722757272686959437061825754494152690231500,000$
17Jake Walman (R)X100.006033816870686055355841723742425849630203600,000$
18Keaton Thompson (R)X100.005739687159576962457158705544435021630211500,000$
Rayé
1Michael McCarron (R)X100.007544656678558063656764496444445120630211500,000$
2Austin Poganski (R)X100.006440727167557361586066595846434920620203500,000$
3Kyle Platzer (R)X100.004236696644665374576562598043434319610211500,000$
4Nick Merkley (R)X100.005633785756646269786759375841416319590191500,000$
5Calvin Thurkauf (R)X100.007550656365487764516360505141436520590192500,000$
6Lukas Vejdemo (R)X100.004430766453635551615555535143435120550201500,000$
7Artur Kayumov (R)X100.006144745052585356495854496440407819540184800,000$
8Connor Honey (R)X100.006759615470627744574549475743434520530211500,000$
9Dmytro Timashov (R)X100.004826674948475762566642445343435220510201500,000$
10Viktor Baldayev (R)X72.377049686375646965416047724744434842650211500,000$
11Nelson Nogier (R)X100.006538726164656156366455684442425319620202600,000$
MOYENNE D’ÉQUIPE99.05643574676665676557666260614745503963
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
1Igor Bobkov100.00766771747073787069648356563163710251600,000$
2Carter Hutton100.00786055957564498778747166635958710313800,000$
Rayé
1Niklas Treutle100.00636671727267696873716962553020690262750,000$
2Artyom Zagidulin (R)100.00615456705849484949525840407721520212500,000$
MOYENNE D’ÉQUIPE100.0070626378696361696765705654494166
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pavel Bure54607666334563RUS464800,000$


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
1Quinton HowdenThunderbirds (Flo)C765373126-9941015717834011320515.59%45173122.781323365625302282417148.17%27576634201.46280111255
2Valentin ZykovThunderbirds (Flo)LW774153944495129742648814715.53%34135117.55121628342160000217233.33%845812031.3923000664
3Kirill KaprizovThunderbirds (Flo)LW82294675-8780126652225911313.06%32151218.44101626322600111771448.55%1383716000.9901000314
4Griffin ReinhartThunderbirds (Flo)D74146074113209813021890846.42%124200427.0941317342661125216010.00%05056000.7400000126
5Elias LindholmThunderbirds (Flo)C82314273131201381321906011316.32%31147417.9858131921802241482051.21%12032818000.9925000572
6Jerry D'AmigoThunderbirds (Flo)RW77333770-17495127991905811917.37%50152019.75910192524800011075144.88%1272932010.9211000126
7Niklas HanssonThunderbirds (Flo)D80845531358014315212246536.56%149216627.083912142621124284100.00%02463000.4900000122
8Tom KuhnhacklThunderbirds (Flo)RW80233053223201071041955313111.79%25134016.754372016700071932244.90%493422000.79211000263
9Mitchell HeardThunderbirds (Flo)C80192342360010892138377213.77%26101912.751122350332973247.65%5332319000.8200000211
10Hudson FaschingThunderbirds (Flo)RW7018173542407047137448813.14%1886112.310000323035602125.93%272818000.8111000102
11Tanner LaczynskiThunderbirds (Flo)C8021103121802756128358316.41%116307.8900002000042250.79%252268000.98511000101
12John DraegerThunderbirds (Flo)D7551924-14480821288731275.75%90160421.3943791860113249120.00%02356000.3000000110
13Matt PuempelThunderbirds (Flo)LW7071522-810063538427368.33%1482311.770000230001430042.42%331512000.5312000110
14Michal JordanThunderbirds (Flo)D6591221-6360789885344110.59%73135220.80325121901121132000.00%03940100.3101000120
15Nicklas JensenThunderbirds (Flo)RW526915-221532167914347.59%34117.9100001000000142.86%7207000.7300010100
16Viktor BaldayevThunderbirds (Flo)D74111127440861024920242.04%64111315.05000249000198000.00%0146000.2200000000
17Jake WalmanThunderbirds (Flo)D7611011214022803712182.70%6297012.77000010000063000.00%0333000.2300000000
18Roberts LipsbergsThunderbirds (Flo)LW624711-1160673131132512.90%35038.12000010000102061.11%1832000.4400000000
19Keaton ThompsonThunderbirds (Flo)D291565100102514977.14%2134611.9500002000013000.00%0016000.3501000000
20Austin PoganskiThunderbirds (Flo)RW23325-31002373072810.00%31928.3610126000000042.86%774000.5200000100
21Nick MerkleyThunderbirds (Flo)RW11011-200637200.00%0837.5600001000000066.67%311000.2400000000
22Artur KayumovThunderbirds (Flo)LW260113401737380.00%12088.0400000000000020.00%500000.1011000000
23Kyle PlatzerThunderbirds (Flo)C10000-240237360.00%1535.37000000001150037.50%1610000.0000000000
24Lukas VejdemoThunderbirds (Flo)C6000000000000.00%020.440000000002000.00%100000.0000000000
25Michael McCarronThunderbirds (Flo)RW6000000000110.00%0162.7100002000000025.00%400000.0000000000
26Nelson NogierThunderbirds (Flo)D17000-2608105130.00%91619.500000000004000.00%014000.0000000000
Statistiques d’équipe totales ou en moyenne14603275288551572925172616882666860146612.27%8892345916.0769104173261244261218442088351948.40%5264517519340.731746021403636
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)53291750.8784.072994002031662889430.583245119122
2Igor BobkovThunderbirds (Flo)30111210.8823.8115296097820389000.684192452110
3Artyom ZagidulinThunderbirds (Flo)52210.8634.42299002216192100.000055000
Statistiques d’équipe totales ou en moyenne88423170.8784.0148236032226431370530.628438076232


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
Artur KayumovThunderbirds (Flo)LW181998-01-01Yes176 Lbs5 ft11NoNoNo4Pro & Farm800,000$0$0$No800,000$800,000$800,000$
Artyom ZagidulinThunderbirds (Flo)G211995-01-01Yes181 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Austin PoganskiThunderbirds (Flo)RW201996-01-01Yes198 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Calvin ThurkaufThunderbirds (Flo)C191997-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Carter HuttonThunderbirds (Flo)G311985-01-01No207 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Connor HoneyThunderbirds (Flo)RW211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Dmytro TimashovThunderbirds (Flo)LW201996-01-01Yes192 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Elias LindholmThunderbirds (Flo)C221994-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No800,000$
Griffin ReinhartThunderbirds (Flo)D221994-01-01Yes206 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No1,100,000$
Hudson FaschingThunderbirds (Flo)RW211995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm550,000$0$0$No600,000$
Igor BobkovThunderbirds (Flo)G251991-01-01No235 Lbs6 ft5NoNoNo1Pro & Farm600,000$0$0$No
Jake WalmanThunderbirds (Flo)D201996-01-01Yes180 Lbs6 ft0NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Jerry D'AmigoThunderbirds (Flo)RW251991-01-01Yes208 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No850,000$
John DraegerThunderbirds (Flo)D231993-01-01Yes186 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Keaton ThompsonThunderbirds (Flo)D211995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Kirill KaprizovThunderbirds (Flo)LW191997-01-01Yes185 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Kyle PlatzerThunderbirds (Flo)C211995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Lukas VejdemoThunderbirds (Flo)C201996-01-01Yes194 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Matt PuempelThunderbirds (Flo)LW231993-01-01Yes190 Lbs6 ft0NoNoNo3Pro & Farm550,000$0$0$No600,000$600,000$
Michael McCarronThunderbirds (Flo)RW211995-01-01Yes185 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Michal JordanThunderbirds (Flo)D261990-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Mitchell HeardThunderbirds (Flo)C241992-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Nelson NogierThunderbirds (Flo)D201996-01-01Yes191 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
Nick MerkleyThunderbirds (Flo)RW191997-01-01Yes194 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Nicklas JensenThunderbirds (Flo)RW231993-01-01Yes186 Lbs6 ft3NoNoNo1Pro & Farm550,000$0$0$No
Niklas HanssonThunderbirds (Flo)D211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Niklas TreutleThunderbirds (Flo)G261990-01-01No185 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
Quinton HowdenThunderbirds (Flo)C241992-01-01Yes189 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
Roberts LipsbergsThunderbirds (Flo)LW221994-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Tanner LaczynskiThunderbirds (Flo)C191997-01-01Yes205 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Tom KuhnhacklThunderbirds (Flo)RW241992-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$
Valentin ZykovThunderbirds (Flo)LW211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Viktor Baldayev (sur la masse salariale)Thunderbirds (Flo)D211995-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$Yes
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3321.91192 Lbs6 ft11.67586,364$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill KaprizovQuinton HowdenJerry D'Amigo40023
2Valentin ZykovElias LindholmTom Kuhnhackl30023
3Matt PuempelMitchell HeardHudson Fasching20122
4Roberts LipsbergsTanner LaczynskiNicklas Jensen10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin ReinhartNiklas Hansson40023
2Michal JordanJohn Draeger30023
3Keaton ThompsonJake Walman20122
4Griffin ReinhartNiklas Hansson10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kirill KaprizovQuinton HowdenJerry D'Amigo60014
2Valentin ZykovElias LindholmTom Kuhnhackl40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin ReinhartNiklas Hansson60023
2Michal JordanJohn Draeger40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Quinton HowdenTom Kuhnhackl60131
2Mitchell HeardHudson Fasching40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niklas HanssonJohn Draeger60140
2Griffin ReinhartKeaton Thompson40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Quinton Howden60131Niklas HanssonJohn Draeger60140
2Mitchell Heard40131Griffin ReinhartKeaton Thompson40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Quinton HowdenKirill Kaprizov60023
2Elias LindholmValentin Zykov40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin ReinhartNiklas Hansson60023
2Michal JordanJohn Draeger40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill KaprizovQuinton HowdenJerry D'AmigoGriffin ReinhartNiklas Hansson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill KaprizovQuinton HowdenTom KuhnhacklNiklas HanssonJohn Draeger
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Elias Lindholm, Kirill Kaprizov, Quinton HowdenElias Lindholm, Kirill KaprizovElias Lindholm
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michal Jordan, Niklas Hansson, Griffin ReinhartKeaton ThompsonGriffin Reinhart, Niklas Hansson
Tirs de pénalité
Tanner Laczynski, Tom Kuhnhackl, Quinton Howden, Elias Lindholm, Kirill Kaprizov
Gardien
#1 : Carter Hutton, #2 : Igor Bobkov


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
1Admirals21100000141311100000010551010000048-420.500142539001041319118618661021786528422334413538.46%10190.00%0900186348.31%892181849.06%618134346.02%171094716927611453713
2Barracuda21100000910-1110000006511010000035-220.5009172610104131911879866102178652562816364250.00%80100.00%0900186348.31%892181849.06%618134346.02%171094716927611453713
3Bears311000102019111000000761201000101313040.6672033530010413191181088661021786521133534735360.00%17664.71%2900186348.31%892181849.06%618134346.02%171094716927611453713
4Comets32100000871211000005501100000032140.667813210010413191181098661021786527920266710110.00%13192.31%0900186348.31%892181849.06%618134346.02%171094716927611453713
5Condors211000001192110000007431010000045-120.50011182900104131911869866102178652792316398225.00%8275.00%0900186348.31%892181849.06%618134346.02%171094716927611453713
6Crunch62300010272433120000015141311000101210260.50027416810104131911819386610217865220671531473139.68%24579.17%0900186348.31%892181849.06%618134346.02%171094716927611453713
7Devils30300000517-121010000017-620200000410-600.000591400104131911811786610217865298312050500.00%10370.00%0900186348.31%892181849.06%618134346.02%171094716927611453713
8Eagles72200120252324110002014113311001001112-190.643254065001041319118223866102178652213776615735411.43%33584.85%0900186348.31%892181849.06%618134346.02%171094716927611453713
9Griffins210010001192100010005411100000065141.0001120310010413191187086610217865274272042500.00%10460.00%0900186348.31%892181849.06%618134346.02%171094716927611453713
10Heat21000010963110000005321000001043141.00091322001041319118678661021786526321184410330.00%9188.89%0900186348.31%892181849.06%618134346.02%171094716927611453713
11Icehogs220000001064110000006331100000043141.000101525001041319118638661021786525418213411436.36%70100.00%0900186348.31%892181849.06%618134346.02%171094716927611453713
12Little Stars321000001113-2110000005412110000069-340.667111728001041319118948661021786529814166121314.29%9277.78%0900186348.31%892181849.06%618134346.02%171094716927611453713
13Marlies20001001101001000000134-11000100076130.75010162600104131911869866102178652662816376116.67%8187.50%0900186348.31%892181849.06%618134346.02%171094716927611453713
14Monsters30200010915-620200000512-71000001043120.33391423001041319118112866102178652101403063700.00%15566.67%0900186348.31%892181849.06%618134346.02%171094716927611453713
15Moose20100001814-61000000156-11010000038-510.2508152300104131911873866102178652772222476116.67%11190.91%1900186348.31%892181849.06%618134346.02%171094716927611453713
16Penguins770000003116154400000016106330000001569141.0003152830010413191182168661021786522088360164331236.36%30196.67%0900186348.31%892181849.06%618134346.02%171094716927611453713
17Phantoms33000000181261100000074322000000118361.00018284600104131911810986610217865210340496110330.00%17382.35%1900186348.31%892181849.06%618134346.02%171094716927611453713
18Punishers422000001915411000000945312000001011-140.50019315000104131911812786610217865212354359410220.00%15380.00%0900186348.31%892181849.06%618134346.02%171094716927611453713
19Rampage32000001171342100000111831100000065150.8331725420010413191181098661021786521183128709222.22%14564.29%0900186348.31%892181849.06%618134346.02%171094716927611453713
20Reign320010001394220000008531000100054161.0001318310010413191189886610217865210031225010440.00%11281.82%0900186348.31%892181849.06%618134346.02%171094716927611453713
21Rocket202000001113-21010000067-11010000056-100.00011193000104131911875866102178652742010444250.00%5340.00%0900186348.31%892181849.06%618134346.02%171094716927611453713
22Senators21000001550110000004311000000112-130.7505813001041319118658661021786525625274810330.00%7185.71%0900186348.31%892181849.06%618134346.02%171094716927611453713
23Sound Tigers3020010069-31010000023-12010010046-210.1676915001041319118908661021786521043122741616.25%11281.82%0900186348.31%892181849.06%618134346.02%171094716927611453713
24Wolfpack605000011928-930300000611-5302000011317-410.083193251001041319118201866102178652200566812235617.14%341167.65%2900186348.31%892181849.06%618134346.02%171094716927611453713
25Wolves30300000916-720200000510-51010000046-200.00091524101041319118868661021786521123724581317.69%12558.33%0900186348.31%892181849.06%618134346.02%171094716927611453713
Total803331032653353314402014010231731581540131702242162173-11910.5693355438783010413191182683866102178652265988575217263276820.80%3487379.02%6900186348.31%892181849.06%618134346.02%171094716927611453713
_Since Last GM Reset803331032653353314402014010231731581540131702242162173-11910.5693355438783010413191182683866102178652265988575217263276820.80%3487379.02%6900186348.31%892181849.06%618134346.02%171094716927611453713
_Vs Conference51202300242197200-325111100021969332691200221101107-6520.5101973175142010413191181673866102178652167254045211372233817.04%2224977.93%4900186348.31%892181849.06%618134346.02%171094716927611453713
_Vs Division2611100013110291111466000205146512540011151456300.5771021652671010413191188338661021786528272872475901342518.66%1212281.82%2900186348.31%892181849.06%618134346.02%171094716927611453713

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8091W133554387826832659885752172630
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8033313265335331
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4020141023173158
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4013172242162173
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3276820.80%3487379.02%6
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
8661021786521041319118
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
900186348.31%892181849.06%618134346.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171094716927611453713


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 - 2021-12-019Eagles1Thunderbirds3BWSommaire du match
7 - 2021-12-0625Thunderbirds1Punishers5ALSommaire du match
9 - 2021-12-0838Penguins1Thunderbirds2BWSommaire du match
11 - 2021-12-1051Thunderbirds3Wolfpack5ALSommaire du match
13 - 2021-12-1261Penguins4Thunderbirds6BWSommaire du match
17 - 2021-12-1681Eagles4Thunderbirds3BLSommaire du match
19 - 2021-12-1887Thunderbirds5Eagles6ALXSommaire du match
23 - 2021-12-22112Crunch2Thunderbirds8BWSommaire du match
25 - 2021-12-24119Thunderbirds3Crunch2AWXXSommaire du match
27 - 2021-12-26134Thunderbirds2Sound Tigers3ALSommaire du match
28 - 2021-12-27139Thunderbirds5Penguins1AWSommaire du match
30 - 2021-12-29151Penguins1Thunderbirds2BWSommaire du match
33 - 2022-01-01164Wolfpack4Thunderbirds2BLSommaire du match
36 - 2022-01-04182Thunderbirds6Wolfpack7ALXXSommaire du match
38 - 2022-01-06194Rampage3Thunderbirds7BWSommaire du match
40 - 2022-01-08207Thunderbirds5Punishers1AWSommaire du match
42 - 2022-01-10218Marlies4Thunderbirds3BLXXSommaire du match
45 - 2022-01-13238Thunderbirds5Rocket6ALSommaire du match
46 - 2022-01-14245Eagles3Thunderbirds4BWXXSommaire du match
49 - 2022-01-17260Thunderbirds3Moose8ALSommaire du match
51 - 2022-01-19269Thunderbirds9Bears8AWXXSommaire du match
53 - 2022-01-21279Moose6Thunderbirds5BLXXSommaire du match
55 - 2022-01-23289Thunderbirds3Comets2AWSommaire du match
57 - 2022-01-25299Thunderbirds2Sound Tigers3ALXSommaire du match
58 - 2022-01-26307Icehogs3Thunderbirds6BWSommaire du match
61 - 2022-01-29324Thunderbirds4Wolves6ALSommaire du match
63 - 2022-01-31332Admirals5Thunderbirds10BWSommaire du match
65 - 2022-02-02344Thunderbirds4Admirals8ALSommaire du match
68 - 2022-02-05356Comets4Thunderbirds2BLSommaire du match
70 - 2022-02-07374Thunderbirds6Griffins5AWSommaire du match
72 - 2022-02-09384Devils7Thunderbirds1BLSommaire du match
75 - 2022-02-12399Thunderbirds4Eagles2AWSommaire du match
77 - 2022-02-14410Penguins4Thunderbirds6BWSommaire du match
80 - 2022-02-17425Thunderbirds6Rampage5AWSommaire du match
82 - 2022-02-19431Thunderbirds4Icehogs3AWSommaire du match
84 - 2022-02-21438Griffins4Thunderbirds5BWXSommaire du match
86 - 2022-02-23454Thunderbirds4Monsters3AWXXSommaire du match
88 - 2022-02-25462Eagles3Thunderbirds4BWXXSommaire du match
92 - 2022-03-01485Thunderbirds4Heat3AWXXSommaire du match
93 - 2022-03-02491Rocket7Thunderbirds6BLSommaire du match
98 - 2022-03-07514Phantoms4Thunderbirds7BWSommaire du match
103 - 2022-03-12537Comets1Thunderbirds3BWSommaire du match
106 - 2022-03-15554Wolfpack4Thunderbirds2BLSommaire du match
109 - 2022-03-18566Thunderbirds5Reign4AWXSommaire du match
112 - 2022-03-21581Barracuda5Thunderbirds6BWSommaire du match
115 - 2022-03-24594Thunderbirds7Marlies6AWXSommaire du match
118 - 2022-03-27607Monsters6Thunderbirds3BLSommaire du match
122 - 2022-03-31630Little Stars4Thunderbirds5BWSommaire du match
125 - 2022-04-03645Thunderbirds1Senators2ALXXSommaire du match
127 - 2022-04-05657Sound Tigers3Thunderbirds2BLSommaire du match
129 - 2022-04-07669Thunderbirds4Wolfpack5ALSommaire du match
131 - 2022-04-09684Punishers4Thunderbirds9BWSommaire du match
134 - 2022-04-12700Thunderbirds2Devils4ALSommaire du match
136 - 2022-04-14711Senators3Thunderbirds4BWSommaire du match
138 - 2022-04-16722Thunderbirds2Devils6ALSommaire du match
140 - 2022-04-18736Reign2Thunderbirds4BWSommaire du match
142 - 2022-04-20746Thunderbirds5Phantoms4AWSommaire du match
145 - 2022-04-23762Wolves4Thunderbirds2BLSommaire du match
147 - 2022-04-25772Thunderbirds6Phantoms4AWSommaire du match
149 - 2022-04-27784Thunderbirds2Eagles4ALSommaire du match
150 - 2022-04-28792Heat3Thunderbirds5BWSommaire du match
153 - 2022-05-01807Thunderbirds4Condors5ALSommaire du match
155 - 2022-05-03817Condors4Thunderbirds7BWSommaire du match
157 - 2022-05-05827Thunderbirds6Penguins2AWSommaire du match
159 - 2022-05-07840Wolves6Thunderbirds3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-05-11864Rampage5Thunderbirds4BLXXSommaire du match
167 - 2022-05-15888Crunch6Thunderbirds3BLSommaire du match
171 - 2022-05-19902Thunderbirds4Penguins3AWSommaire du match
173 - 2022-05-21914Crunch6Thunderbirds4BLSommaire du match
175 - 2022-05-23924Thunderbirds4Punishers5ALSommaire du match
178 - 2022-05-26938Monsters6Thunderbirds2BLSommaire du match
180 - 2022-05-28946Thunderbirds3Crunch5ALSommaire du match
183 - 2022-05-31965Bears6Thunderbirds7BWSommaire du match
184 - 2022-06-01973Thunderbirds6Crunch3AWSommaire du match
188 - 2022-06-05989Thunderbirds3Barracuda5ALSommaire du match
190 - 2022-06-07994Reign3Thunderbirds4BWSommaire du match
192 - 2022-06-091005Thunderbirds4Bears5ALSommaire du match
193 - 2022-06-101013Thunderbirds1Little Stars5ALSommaire du match
197 - 2022-06-141026Wolfpack3Thunderbirds2BLSommaire du match
199 - 2022-06-161036Thunderbirds5Little Stars4AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,00737,569
Assistance PCT92.51%93.92%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2789 - 92.98% 82,787$3,311,468$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,704,025$ 1,885,000$ 1,655,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,425$ 1,883,150$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,425$ 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