Thunderbirds
GP: 14 | W: 8 | L: 6
GF: 62 | GA: 53 | PP%: 21.18% | PK%: 81.97%
DG: François Prevost | Morale : 65 | Moyenne d'Équipe : 66
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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)X100.007141807373757472737375627549446079700211850,000$
2Jujhar Khaira (R)X100.007444757176677477637073696448445783690213950,000$
3Petr Straka (R)X100.006823837569787075656875567152464779680232850,000$
4Timo Meier (R)X100.007239765684676468627290496441427758670192500,000$
5T.J. Tynan (R) (A)X100.006435696769656868787669606755585083670232750,000$
6Martin Frk (R)X100.006426797066747175727570525645474969660222650,000$
7Valentin Zykov (R)X100.006526807567746569576476546642425883650202550,000$
8Jacob De La Rose (R)X100.006123826770786356616565766544426579650202700,000$
9Roope Hintz (R)X100.007346727166626761607068606741427774640192500,000$
10Jack Roslovic (R)X100.005627778150624678656270568140408179640182500,000$
11Christoffer Ehn (R)X100.00523781636774645170645770554141706862X0191500,000$
12Dylan Sikura (R)X100.006241726868645865636761606641416279620191500,000$
13Patrick Wey (R) (A)X100.00794182727179727262716674656446418372X0241950,000$
14Martin Marincin (R)X100.007023906977787166537461835755454485720231900,000$
15Tony DeAngelo (R)X100.005337767859597271338450704544416686650191500,000$
16Roland McKeown (R)X100.007226876168606459336642755041417180650191500,000$
17Nikita Nesterov (R)X100.00632476736168656642666361604444522263X0221475,000$
18Ethan Bear (R)X100.005431757149576376367755624640407974610182500,000$
Rayé
1Scott Wilson (R)X100.007124716964706871696274566554534221650231500,000$
2Alan Quine (R)X100.005428727157666872707166506144444421630221400,000$
3Hudson Fasching (R)X100.006123717373697162616370576244426137630201500,000$
4Brandon Montour (R)X84.876746847074747568486765766546446973700201500,000$
5Collin Miller (R)X100.007328766359656774466573765755474322670232600,000$
6Adam Clendening (R)X100.006331717263656266487150705555544221650231650,000$
MOYENNE D'ÉQUIPE99.37653277706769676858696664624745596466
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 Korpisalo100.00698471727177718080726849465683730
2Anders Nilsson100.00717178696181767168787860543586710
Rayé
1Eamon McAdam100.00596463505570725051786242426122600
MOYENNE D'ÉQUIPE100.0066737164627673676676695047516468
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)C14121426860292867173117.91%730621.873698660001301052.03%41988011.7000000131
2Jujhar KhairaThunderbirds (STL)LW14108188235361956163117.86%528220.193581264000080142.86%21204011.2700100101
3T.J. TynanThunderbirds (STL)C1488160260292936102922.22%525117.983366541011171052.35%149104001.2700000031
4Valentin ZykovThunderbirds (STL)LW1441216300171030122413.33%015811.35156355000001060.00%562002.0100000100
5Petr StrakaThunderbirds (STL)RW145712-320191244142611.36%021815.62246955000000163.64%11162001.1000000100
6Brandon MontourThunderbirds (STL)D142911-4002333264137.69%2537426.77033674011161000.00%048000.5900000100
7Martin FrkThunderbirds (STL)RW146410-1801984091615.00%517212.35314415000001066.67%1283001.1600000201
8Patrick WeyThunderbirds (STL)D14099-1120173120790.00%1332623.3200054600001000.00%0212000.5500000002
9Timo MeierThunderbirds (STL)RW112573801391681112.50%520818.91101249000000050.00%2241000.6700000010
10Jack RoslovicThunderbirds (STL)C14257-5201153814195.26%716411.7500003000061048.39%9381000.8500000010
11Dylan SikuraThunderbirds (STL)RW1425724075114518.18%2946.78000000000010100.00%301001.4700000010
12Roope HintzThunderbirds (STL)LW14325-310016171751017.65%321015.02000040111391050.00%1049000.4800000000
13Martin MarincinThunderbirds (STL)D140554201016135100.00%2529020.7200000000261000.00%0215000.3400000000
14Tony DeAngeloThunderbirds (STL)D14145380725231084.35%1731122.23112675000039000.00%0811000.3200000000
15Ethan BearThunderbirds (STL)D1422428061463333.33%920714.8510124600006000.00%044000.3800000000
16Christoffer EhnThunderbirds (STL)C1413412091944725.00%615511.10000000001570043.70%11912000.5100000000
17Roland McKeownThunderbirds (STL)D1403300010200250.00%819614.0500002000041000.00%0014000.3100000000
18Hudson FaschingThunderbirds (STL)RW3101-1009033233.33%23311.130000000000100.00%100000.6000000000
19Jacob De La RoseThunderbirds (STL)LW14101-780151417375.88%919614.05000000006510136.36%1114000.1000000001
Stats d'équipe Total ou en Moyenne252621051679129530231446715026613.28%153416116.5118284663615123134228350.57%876106105020.8000100797
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)115320.8793.826120039323164100.0000113000
2Anders NilssonThunderbirds (STL)53010.8913.50240011412863100.0000311100
Stats d'équipe Total ou en Moyenne168330.8823.738530153451227200.00001414100


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 Montour (Sur la Masse Salariale)Thunderbirds (STL)D201995-01-01Yes193 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$Yes
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 ShorePetr Straka40122
2Valentin ZykovT.J. TynanTimo Meier30122
3Jacob De La RoseJack RoslovicMartin Frk20122
4Roope HintzChristoffer EhnDylan Sikura10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinPatrick Wey40122
2Roland McKeownTony DeAngelo30122
3Nikita NesterovEthan Bear20122
4Martin MarincinPatrick Wey10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jujhar KhairaDevin ShorePetr Straka60122
2Valentin ZykovT.J. TynanTimo Meier40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinPatrick Wey60122
2Roland McKeownTony DeAngelo40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Devin ShoreJujhar Khaira60122
2Petr StrakaT.J. Tynan40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinPatrick Wey60122
2Roland McKeownTony DeAngelo40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Devin Shore60122Martin MarincinPatrick Wey60122
2Jujhar Khaira40122Roland McKeownTony DeAngelo40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Devin ShoreJujhar Khaira60122
2Petr StrakaT.J. Tynan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinPatrick Wey60122
2Roland McKeownTony DeAngelo40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jujhar KhairaDevin ShorePetr StrakaMartin MarincinPatrick Wey
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jujhar KhairaDevin ShorePetr StrakaMartin MarincinPatrick Wey
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Martin Frk, Jacob De La Rose, Jack RoslovicMartin Frk, Jacob De La RoseJack Roslovic
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nikita Nesterov, Ethan Bear, Roland McKeownNikita NesterovEthan Bear, Roland McKeown
Tirs de Pénalité
Devin Shore, Jujhar Khaira, Petr Straka, T.J. Tynan, Timo Meier
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
1Heat404000001119-820200000710-32020000049-500.000112031001522241123168155137713058327817317.65%16381.25%115731350.16%16632950.46%12023451.28%302161293137259131
2Punishers6420000027207312000001213-133000000157880.6672745720115222412191681551377201515513442614.29%24483.33%015731350.16%16632950.46%12023451.28%302161293137259131
3Rampage4400000024141022000000125722000000129381.000244064001522241125168155137712044429026934.62%21480.95%015731350.16%16632950.46%12023451.28%302161293137259131
Total1486000006253973400000312837520000031256160.571621051670115222414671681551377451153129302851821.18%611181.97%115731350.16%16632950.46%12023451.28%302161293137259131
_Since Last GM Reset1486000006253973400000312837520000031256160.571621051670115222414671681551377451153129302851821.18%611181.97%115731350.16%16632950.46%12023451.28%302161293137259131
_Vs Conference1486000006253973400000312837520000031256160.571621051670115222414671681551377451153129302851821.18%611181.97%115731350.16%16632950.46%12023451.28%302161293137259131
_Vs Division6420000027207312000001213-133000000157880.6672745720115222412191681551377201515513442614.29%24483.33%015731350.16%16632950.46%12023451.28%302161293137259131

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1416OTL16210516746745115312930201
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
148600006253
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73400003128
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
75200003125
Derniers 10 Matchs
WLOTWOTL SOWSOL
431200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
851821.18%611181.97%1
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
16815513771522241
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
15731350.16%16632950.46%12023451.28%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
302161293137259131


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
1 - 2020-10-097Punishers3Thunderbirds4WR2Sommaire du Match
2 - 2020-10-1015Punishers6Thunderbirds5LXSommaire du Match
3 - 2020-10-1123Thunderbirds4Punishers0WR2Sommaire du Match
4 - 2020-10-1231Thunderbirds5Punishers4WSommaire du Match
5 - 2020-10-1339Punishers4Thunderbirds3LXR2Sommaire du Match
6 - 2020-10-1447Thunderbirds6Punishers3WSommaire du Match
8 - 2020-10-1660Thunderbirds7Rampage6WXR3Sommaire du Match
9 - 2020-10-1764Thunderbirds5Rampage3WSommaire du Match
10 - 2020-10-1868Rampage1Thunderbirds6WR3Sommaire du Match
11 - 2020-10-1972Rampage4Thunderbirds6WSommaire du Match
15 - 2020-10-2386Thunderbirds1Heat2LSommaire du Match
16 - 2020-10-2488Thunderbirds3Heat7LSommaire du Match
17 - 2020-10-2590Heat3Thunderbirds1LSommaire du Match
18 - 2020-10-2692Heat7Thunderbirds6LXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance12,3866,198
Assistance PCT88.47%88.54%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
33 2655 - 88.50% 92,910$650,370$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 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
0$ 0$ 0 0

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