Thunderbirds
GP: 80 | W: 44 | L: 27 | OTL: 9 | P: 97
GF: 347 | GA: 323 | PP%: 22.15% | PK%: 77.18%
DG: François Prevost | Morale : 49 | Moyenne d'Équipe : 66
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Devin Shore (R)X100.007141807373757472737375627549446060700211850,000$
2Jujhar Khaira (R)X100.007444757176677477637073696448445767690213950,000$
3Petr Straka (R)X100.006823837569787075656875567152464759680232850,000$
4Timo Meier (R)X98.047239765684676468627290496441427750670192500,000$
5T.J. Tynan (R) (A)X100.006435696769656868787669606755585067670232750,000$
6Martin Frk (R)X100.006426797066747175727570525645474944660222650,000$
7Valentin Zykov (R)X100.006526807567746569576476546642425867650202550,000$
8Jacob De La Rose (R)X100.006123826770786356616565766544426573650202700,000$
9Roope Hintz (R)X100.007346727166626761607068606741427750640192500,000$
10Jack Roslovic (R)X100.005627778150624678656270568140408155640182500,000$
11Christoffer Ehn (R)X100.00523781636774645170645770554141704462X0191500,000$
12Dylan Sikura (R)X100.006241726868645865636761606641416255620191500,000$
13Patrick Wey (R) (A)X100.00794182727179727262716674656446417072X0241950,000$
14Martin Marincin (R)X100.007023906977787166537461835755454473720231900,000$
15Brandon Montour (R)X100.006746847074747568486765766546446967700201500,000$
16Tony DeAngelo (R)X100.005337767859597271338450704544416677650191500,000$
17Roland McKeown (R)X100.007226876168606459336642755041417163650191500,000$
18Ethan Bear (R)X100.005431757149576376367755624640407950610182500,000$
Rayé
1Scott Wilson (R)X100.007124716964706871696274566554534219650231500,000$
2Alan Quine (R)X100.005428727157666872707166506144444419630221400,000$
3Hudson Fasching (R)X100.006123717373697162616370576244426126630201500,000$
4Collin Miller (R)X100.007328766359656774466573765755474320670232600,000$
5Adam Clendening (R)X100.006331717263656266487150705555544219650231650,000$
6Nikita Nesterov (R)X100.00632476736168656642666361604444522063X0221475,000$
MOYENNE D'ÉQUIPE99.92653277706769676858696664624745595166
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 SP
1Joonas Korpisalo100.00698471727177718080726849465667730
2Anders Nilsson100.00717178696181767168787860543570710
Rayé
1Eamon McAdam100.00596463505570725051786242426120600
MOYENNE D'ÉQUIPE100.0066737164627673676676695047515268
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Teemu Selanne77687290877445Fin384650,000$


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
1Devin ShoreThunderbirds (STL)C8057951523759513916136311719815.70%51172421.551728454725411241195252.94%25185341021.7641210010158
2Jujhar KhairaThunderbirds (STL)LW8071631343476015211138113522918.64%44167420.94131427512281013837543.48%1387829061.600000013107
3Petr StrakaThunderbirds (STL)RW784033736280103782287516217.54%19124916.02891731193000007143.40%535114011.17610000520
4Timo MeierThunderbirds (STL)RW701838562654012055105396817.14%29135219.33671322222000003047.50%1202420000.8300000233
5Brandon MontourThunderbirds (STL)D8013385119240119143130675210.00%121206825.866612232760226241010.00%04562000.4900000143
6T.J. TynanThunderbirds (STL)C801831490740118114163538811.04%20127915.994812222000004521053.05%8692320000.7712000100
7Valentin ZykovThunderbirds (STL)LW80162945-512089511584510210.13%1586910.878132128229000092055.56%27436001.0301000111
8Patrick WeyThunderbirds (STL)D80637431745515415512566544.80%99201525.2025711220000178200.00%04980000.4301100012
9Martin FrkThunderbirds (STL)RW58172441-11404733109408215.60%865211.25123136000002059.09%22197001.2600000023
10Tony DeAngeloThunderbirds (STL)D7562935-102606710110640375.66%72161721.5741216222750113127010.00%02845000.4300000000
11Jack RoslovicThunderbirds (STL)C79171532-1714073561624810010.49%1579710.10000070000262145.60%3643412000.80411000201
12Martin MarincinThunderbirds (STL)D7242226-340801428532374.71%88158021.96011050111251100.00%02663000.3300000011
13Jacob De La RoseThunderbirds (STL)LW82101020-640838282315712.20%32108413.2300001224112702138.46%521731000.3700000131
14Roope HintzThunderbirds (STL)LW5051318138090547322426.85%1077615.54000060003791038.24%341318000.4600000002
15Dylan SikuraThunderbirds (STL)RW6995147180533346215019.57%135507.9800000000000137.50%868000.5101000001
16Ethan BearThunderbirds (STL)D5531013-66013453915117.69%4183215.130001112000034100.00%0820000.3100000000
17Christoffer EhnThunderbirds (STL)C44671358023542982220.69%1747210.730000011221330245.38%346515100.5501000010
18Roland McKeownThunderbirds (STL)D8001313-312051864022200.00%76113114.14000040000160000.00%0027000.2300000000
19Collin MillerThunderbirds (STL)D39167-28028323615132.78%3355814.330000290003129000.00%0419000.2500000000
20Adam ClendeningThunderbirds (STL)D19066-2115142120960.00%1834918.38011239000029000.00%0312000.3400001000
21Alan QuineThunderbirds (STL)C9213-1203432466.67%0596.5800000000000033.33%2400001.0100000000
22Scott WilsonThunderbirds (STL)LW6011000312110.00%0101.7201100000050020.00%500001.9400000000
23Hudson FaschingThunderbirds (STL)RW23011-106088165160.00%11848.010000100000000.00%141000.1111000000
Stats d'équipe Total ou en Moyenne13883195278468654315163016202501908145112.75%8222289316.496910717626123445813411834361550.86%4581533550190.741640201364333
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
1Joonas KorpisaloThunderbirds (STL)66342080.8843.793687412332009929120.625326317411
2Anders NilssonThunderbirds (STL)2010500.8793.919972065536260000.85771555010
Stats d'équipe Total ou en Moyenne86442580.8833.8246856129825451189120.667397872421


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam ClendeningThunderbirds (STL)D231992-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Alan QuineThunderbirds (STL)C221993-01-01Yes200 Lbs6 ft0NoNoNo1Pro & Farm400,000$0$0$No
Anders NilssonThunderbirds (STL)G251990-01-01No227 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Brandon MontourThunderbirds (STL)D201995-01-01Yes193 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Christoffer EhnThunderbirds (STL)C191996-01-01Yes181 Lbs6 ft3NoYesNo1Pro & Farm500,000$0$0$No
Collin MillerThunderbirds (STL)D231992-01-01Yes175 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No750,000$
Devin ShoreThunderbirds (STL)C211994-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm850,000$0$0$No
Dylan SikuraThunderbirds (STL)RW191996-01-01Yes166 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Eamon McAdamThunderbirds (STL)G211994-01-01No185 Lbs6 ft2NoNoNo3Pro & Farm450,000$0$0$No500,000$550,000$
Ethan BearThunderbirds (STL)D181997-01-01Yes197 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Hudson FaschingThunderbirds (STL)RW201995-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Jack RoslovicThunderbirds (STL)C181997-01-01Yes187 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jacob De La RoseThunderbirds (STL)LW201995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No800,000$
Joonas KorpisaloThunderbirds (STL)G211994-01-01No172 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Jujhar KhairaThunderbirds (STL)LW211994-01-01Yes198 Lbs6 ft2NoNoNo3Pro & Farm950,000$0$0$No1,150,000$1,500,000$
Martin FrkThunderbirds (STL)RW221993-01-01Yes193 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No700,000$
Martin MarincinThunderbirds (STL)D231992-01-01Yes203 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$No
Nikita NesterovThunderbirds (STL)D221993-01-01Yes191 Lbs5 ft11NoYesNo1Pro & Farm475,000$0$0$No
Patrick WeyThunderbirds (STL)D241991-01-01Yes200 Lbs6 ft2NoYesNo1Pro & Farm950,000$0$0$No
Petr StrakaThunderbirds (STL)RW231992-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm850,000$0$0$No925,000$
Roland McKeownThunderbirds (STL)D191996-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Roope HintzThunderbirds (STL)LW191996-01-01Yes220 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Scott WilsonThunderbirds (STL)LW231992-01-01Yes183 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
T.J. TynanThunderbirds (STL)C231992-01-01Yes165 Lbs5 ft9NoNoNo2Pro & Farm750,000$0$0$No750,000$
Timo MeierThunderbirds (STL)RW191996-01-01Yes210 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Tony DeAngeloThunderbirds (STL)D191996-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Valentin ZykovThunderbirds (STL)LW201995-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm550,000$0$0$No650,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2721.00190 Lbs6 ft11.52615,741$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jujhar KhairaDevin ShoreTimo Meier40122
2Roope HintzT.J. TynanPetr Straka30122
3Jacob De La RoseJack RoslovicMartin Frk20122
4Valentin ZykovChristoffer EhnDylan Sikura10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Patrick WeyBrandon Montour40122
2Martin MarincinTony DeAngelo30122
3Roland McKeownEthan Bear20122
4Patrick WeyMartin Marincin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jujhar KhairaDevin ShoreTimo Meier60122
2Valentin ZykovT.J. TynanPetr Straka40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon MontourTony DeAngelo60122
2Patrick WeyEthan Bear40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Christoffer EhnJacob De La Rose60122
2T.J. TynanRoope Hintz40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinBrandon Montour60122
2Tony DeAngeloRoland McKeown40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Christoffer Ehn60122Roland McKeownMartin Marincin60122
2Jacob De La Rose40122Brandon MontourTony DeAngelo40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Devin ShoreJujhar Khaira60122
2T.J. TynanTimo Meier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Patrick WeyMartin Marincin60122
2Brandon MontourTony DeAngelo40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jujhar KhairaDevin ShoreTimo MeierPatrick WeyTony DeAngelo
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jacob De La RoseChristoffer EhnDylan SikuraBrandon MontourMartin Marincin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
T.J. Tynan, Valentin Zykov, Jack RoslovicT.J. Tynan, Valentin ZykovDevin Shore
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Roland McKeown, Ethan Bear, Brandon MontourRoland McKeownEthan Bear, Brandon Montour
Tirs de Pénalité
Jack Roslovic, Devin Shore, Petr Straka, T.J. Tynan, Roope Hintz
Gardien
#1 : Joonas Korpisalo, #2 : Anders Nilsson


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
LigueDomicileVisiteur
# 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
1Admirals20200000510-51010000014-31010000046-200.000581300961271112271902883848676991234600.00%6183.33%0937182551.34%971191950.60%712140450.71%172495816917531461738
2Barracuda522000012325-221000001990312000001416-250.5002338610096127111221659028838486718159308721419.05%15380.00%1937182551.34%971191950.60%712140450.71%172495816917531461738
3Bears2110000010911010000056-11100000053220.5001016260096127111226590288384867611112439333.33%6350.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
4Checkers31100010910-1110000006422010001036-340.66791322009612711122989028838486797281067800.00%50100.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
5Comets624000001924-5312000001011-131200000913-440.33319294810961271112218990288384867176647014723521.74%361072.22%0937182551.34%971191950.60%712140450.71%172495816917531461738
6Condors210001007611000010023-11100000053230.750711180096127111226190288384867742618526116.67%9188.89%0937182551.34%971191950.60%712140450.71%172495816917531461738
7Crunch3100200012752100100010641000100021161.00012193100961271112293902883848679628206010220.00%100100.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
8Devils3300000014410110000008172200000063361.00014233700961271112298902883848679437167412325.00%80100.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
9Eagles3110001014131211000007701000001076140.66714193300961271112297902883848671083920736116.67%10370.00%1937182551.34%971191950.60%712140450.71%172495816917531461738
10Griffins301000201313020100010910-11000001043140.667131730009612711122114902883848671063120617114.29%10370.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
11Heat301011001620-41000100076120100100914-530.500162541009612711122979028838486710640305316425.00%15566.67%1937182551.34%971191950.60%712140450.71%172495816917531461738
12IceHogs20000020972100000105411000001043141.00091423009612711122719028838486758218459111.11%40100.00%1937182551.34%971191950.60%712140450.71%172495816917531461738
13Influenza42200000151412020000047-322000000117440.5001524390096127111221249028838486714525249915426.67%12283.33%0937182551.34%971191950.60%712140450.71%172495816917531461738
14Little Stars622001012829-13110000114104311001001419-560.50028467400961271112219190288384867190716613334926.47%331263.64%1937182551.34%971191950.60%712140450.71%172495816917531461738
15Monsters32001000171161100000065121001000116561.000172744009612711122107902883848671124416787114.29%8187.50%0937182551.34%971191950.60%712140450.71%172495816917531461738
16Moose210001005321000010012-11100000041330.7505712009612711122629028838486750238376116.67%40100.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
17Penguins3210000013103211000006601100000074340.667132437009612711122101902883848678526186010330.00%90100.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
18Phantoms42001001271611210010001569210000011210270.8752749760096127111221449028838486712641128816637.50%6266.67%0937182551.34%971191950.60%712140450.71%172495816917531461738
19Punishers612001112430-63100011014122302000011018-860.50024406401961271112220790288384867217726315323730.43%29775.86%0937182551.34%971191950.60%712140450.71%172495816917531461738
20Rampage312000001113-2211000009901010000024-220.333111627009612711122112902883848679131516417211.76%23578.26%0937182551.34%971191950.60%712140450.71%172495816917531461738
21Reign21000010862100000104311100000043141.000813210096127111225790288384867721712346233.33%50100.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
22Rocket211000001082110000008261010000026-420.5001014240096127111225990288384867782714425120.00%7271.43%0937182551.34%971191950.60%712140450.71%172495816917531461738
23Senators312000001114-31010000027-52110000097220.33311152600961271112210090288384867882716601317.69%8275.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
24Sound Tigers2110000010100110000005411010000056-120.50010182800961271112275902883848676418203610330.00%10370.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
25Wolfpack3210000017116211000009901100000082640.667172845109612711122102902883848679927206812325.00%10370.00%0937182551.34%971191950.60%712140450.71%172495816917531461738
Total80312705584347323244015130334217615323401614022421711701970.606347553900219612711122266090288384867264384260617483076822.15%2986877.18%5937182551.34%971191950.60%712140450.71%172495816917531461738
_Since Last GM Reset80312705584347323244015130334217615323401614022421711701970.606347553900219612711122266090288384867264384260617483076822.15%2986877.18%5937182551.34%971191950.60%712140450.71%172495816917531461738
_Vs Conference451717033321881853231080211110288142279012218697-11510.567188297485219612711122148590288384867144749040010121844021.74%1964776.02%3937182551.34%971191950.60%712140450.71%172495816917531461738
_Vs Division1858002127183-129330011138335925001013350-17160.4447111518611961271112258790288384867583207199433802126.25%982970.41%1937182551.34%971191950.60%712140450.71%172495816917531461738

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8097W234755390026602643842606174821
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8031275584347323
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4015133342176153
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4016142242171170
Derniers 10 Matchs
WLOTWOTL SOWSOL
521011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3076822.15%2986877.18%5
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
902883848679612711122
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
937182551.34%971191950.60%712140450.71%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
172495816917531461738


Derniers Match 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 - 2020-10-1011Wolfpack5Thunderbirds3LR1Sommaire du Match
4 - 2020-10-1222Thunderbirds2Comets4LR1Sommaire du Match
6 - 2020-10-1431Thunderbirds6Little Stars7LXSommaire du Match
8 - 2020-10-1644Punishers7Thunderbirds6LXR1Sommaire du Match
12 - 2020-10-2064Comets7Thunderbirds6LR1Sommaire du Match
15 - 2020-10-2381Little Stars3Thunderbirds2LSommaire du Match
18 - 2020-10-2699Thunderbirds4Punishers8LR1Sommaire du Match
20 - 2020-10-28106Little Stars2Thunderbirds8WR1Sommaire du Match
21 - 2020-10-29117Thunderbirds5Barracuda10LSommaire du Match
24 - 2020-11-01132Griffins3Thunderbirds4WXXSommaire du Match
26 - 2020-11-03142Thunderbirds4Comets7LR1Sommaire du Match
29 - 2020-11-06157Rampage7Thunderbirds3LSommaire du Match
30 - 2020-11-07168Thunderbirds6Phantoms7LXXSommaire du Match
34 - 2020-11-11183Influenza4Thunderbirds3LSommaire du Match
37 - 2020-11-14201Thunderbirds7Barracuda2WSommaire du Match
39 - 2020-11-16210Reign3Thunderbirds4WXXSommaire du Match
43 - 2020-11-20234Thunderbirds7Eagles6WXXSommaire du Match
44 - 2020-11-21239Rocket2Thunderbirds8WSommaire du Match
48 - 2020-11-25261Condors3Thunderbirds2LXSommaire du Match
52 - 2020-11-29279Thunderbirds3Devils1WSommaire du Match
54 - 2020-12-01289Comets3Thunderbirds1LR1Sommaire du Match
56 - 2020-12-03302Thunderbirds3Comets2WSommaire du Match
58 - 2020-12-05309Thunderbirds6Phantoms3WSommaire du Match
60 - 2020-12-07318Barracuda5Thunderbirds4LXXSommaire du Match
63 - 2020-12-10338Penguins3Thunderbirds2LSommaire du Match
65 - 2020-12-12348Thunderbirds7Penguins4WSommaire du Match
67 - 2020-12-14359Thunderbirds5Condors3WSommaire du Match
69 - 2020-12-16368Moose2Thunderbirds1LXSommaire du Match
74 - 2020-12-21393Phantoms2Thunderbirds10WSommaire du Match
77 - 2020-12-24410Thunderbirds2Rampage4LR2Sommaire du Match
79 - 2020-12-26419Barracuda4Thunderbirds5WSommaire du Match
81 - 2020-12-28432Thunderbirds2Senators5LSommaire du Match
83 - 2020-12-30439Thunderbirds5Bears3WSommaire du Match
84 - 2020-12-31449Senators7Thunderbirds2LSommaire du Match
89 - 2021-01-05471Phantoms4Thunderbirds5WXSommaire du Match
92 - 2021-01-08488Thunderbirds7Senators2WSommaire du Match
94 - 2021-01-10497Comets1Thunderbirds3WR1Sommaire du Match
99 - 2021-01-15521Crunch4Thunderbirds5WXSommaire du Match
101 - 2021-01-17528Thunderbirds4Griffins3WXXSommaire du Match
103 - 2021-01-19536Thunderbirds4Admirals6LSommaire du Match
105 - 2021-01-21546Thunderbirds5Sound Tigers6LSommaire du Match
107 - 2021-01-23554Eagles3Thunderbirds5WSommaire du Match
111 - 2021-01-27576Thunderbirds4IceHogs3WXXSommaire du Match
112 - 2021-01-28583Griffins7Thunderbirds5LSommaire du Match
115 - 2021-01-31604Heat6Thunderbirds7WXSommaire du Match
120 - 2021-02-05628Eagles4Thunderbirds2LSommaire du Match
124 - 2021-02-09651IceHogs4Thunderbirds5WXXSommaire du Match
126 - 2021-02-11661Thunderbirds4Reign3WSommaire du Match
129 - 2021-02-14676Thunderbirds2Barracuda4LSommaire du Match
130 - 2021-02-15679Checkers4Thunderbirds6WSommaire du Match
135 - 2021-02-20704Wolfpack4Thunderbirds6WR1Sommaire du Match
137 - 2021-02-22714Thunderbirds3Little Stars8LSommaire du Match
139 - 2021-02-24730Little Stars5Thunderbirds4LXXR1Sommaire du Match
142 - 2021-02-27744Thunderbirds6Heat7LXSommaire du Match
145 - 2021-03-02756Devils1Thunderbirds8WSommaire du Match
147 - 2021-03-04762Thunderbirds5Little Stars4WR1Sommaire du Match
150 - 2021-03-07781Penguins3Thunderbirds4WSommaire du Match
154 - 2021-03-11798Thunderbirds3Heat7LSommaire du Match
156 - 2021-03-13806Thunderbirds2Crunch1WXSommaire du Match
157 - 2021-03-14808Monsters5Thunderbirds6WSommaire du Match
159 - 2021-03-16820Thunderbirds7Influenza4WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
162 - 2021-03-19835Punishers0Thunderbirds2WR1Sommaire du Match
167 - 2021-03-24860Influenza3Thunderbirds1LSommaire du Match
169 - 2021-03-26872Thunderbirds1Checkers5LSommaire du Match
171 - 2021-03-28885Thunderbirds3Devils2WSommaire du Match
172 - 2021-03-29888Bears6Thunderbirds5LSommaire du Match
177 - 2021-04-03912Punishers5Thunderbirds6WXXR1Sommaire du Match
183 - 2021-04-09938Crunch2Thunderbirds5WSommaire du Match
185 - 2021-04-11946Thunderbirds3Punishers6LR1Sommaire du Match
187 - 2021-04-13958Thunderbirds5Monsters1WSommaire du Match
188 - 2021-04-14965Sound Tigers4Thunderbirds5WSommaire du Match
192 - 2021-04-18985Thunderbirds6Monsters5WXSommaire du Match
193 - 2021-04-19989Admirals4Thunderbirds1LSommaire du Match
194 - 2021-04-20994Thunderbirds8Wolfpack2WR1Sommaire du Match
196 - 2021-04-221007Thunderbirds2Checkers1WXXSommaire du Match
197 - 2021-04-231010Thunderbirds3Punishers4LXXR1Sommaire du Match
198 - 2021-04-241016Rampage2Thunderbirds6WR2Sommaire du Match
199 - 2021-04-251020Thunderbirds2Rocket6LSommaire du Match
201 - 2021-04-271025Thunderbirds4Moose1WSommaire du Match
202 - 2021-04-281033Thunderbirds4Influenza3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance53,85727,187
Assistance PCT67.32%67.97%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2026 - 67.54% 70,823$2,832,921$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,332,483$ 1,662,500$ 1,592,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
8,110$ 1,677,659$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 11,280$ 0$




LigueDomicileVisiteur
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