Punishers
GP: 6 | W: 2 | L: 4
GF: 20 | GA: 27 | PP%: 16.67% | PK%: 85.71%
DG: Jean-Sébastien Larin | Morale : 13 | Moyenne d'Équipe : 62
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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
1Zack HamillX100.006928797673807274758271587166622826710271990,000$
2Corey TroppX100.006729727378726971706877676451483160690261700,000$
3Andreas Athanasiou (R) (A)X100.007035796579686969686977606647435553670211675,000$
4Radek Faksa (R)X100.006645777269677069736674566544435165660212650,000$
5Tyler Bertuzzi (R) (A)X100.007435726476578569626969666044426269660203750,000$
6Elias Lindholm (R)X100.006526846381746767686474566944446040660213650,000$
7Carter Ashton (R)X100.006743686767616868627269646548463547650241450,000$
8Nikita Gusev (R)X100.005224636860717371736967466547474669630231600,000$
9John Quenneville (R)X100.006128716662636261767871466041416859630191500,000$
10Joseph Cramarossa (R)X100.007043646365606064476456566352523334600231400,000$
11Austen Brassard (R)X100.006539646165596963656067535844444466600221300,000$
12Michael Joly (R)X100.005820746156686155646861486042425357580201350,000$
13Anton Blidh (R)X100.007233646764547061546059454342425462570201275,000$
14Daniel Audette (R)X100.006542765264545563556751566241416050570191500,000$
15Alex Schoenborn (R)X100.006243575567566755526063424441415762550191275,000$
16Nicolas Roy (R)X100.004438645658524958575652425240406743520182500,000$
17Gabriel Gagne (R)X100.004926655058464860535061395743426436520192500,000$
18Adam Pelech (R) (C)X100.007239797773707374517065736550435648700212750,000$
19Madison Bowey (R)X100.007436847268677268396751834947426263700202900,000$
20Brett Kulak (R)X100.007233717266716162566260765945434943660212650,000$
21Ben Betker (R)X100.005729746870716352385952764844445031630211300,000$
22Fredrik Claesson (R)X100.006033706157705962406250745152544266620232400,000$
23Noah Juulsen (R)X100.006339766162666760455455654340407669610182500,000$
24Connor Clifton (R)X100.005835745555686346655651654542425547570202300,000$
25Niko Mikkola (R)X100.006341745754615750376239555142436264560192500,000$
Rayé
1Austin Wagner (R)X100.006536534357475545485048314440407629460182500,000$
MOYENNE D'ÉQUIPE100.00643571636664656257646158574544545261
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
1Louis Domingue100.00747273746970688071717249454368700
2Daniel Altshuller100.00666472605875656362756443435069640
Rayé
MOYENNE D'ÉQUIPE100.0070687367647367726773684644476967
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Kovalev66646970404258CAN461500,000$


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
1Corey TroppPunishers (Bos)RW616701801410234114.35%313522.651235240000250037.50%852001.0300000001
2Zack HamillPunishers (Bos)C652714010232671619.23%414524.220113240003340052.23%24764000.9600000101
3Adam PelechPunishers (Bos)D624629568124116.67%615325.65112323000030000.00%079000.7811010101
4Radek FaksaPunishers (Bos)C613402075176145.88%010517.500110180003190049.06%5361000.7600000000
5Carter AshtonPunishers (Bos)RW6314120461321123.08%57111.84011115000000025.00%415001.1300000000
6Tyler BertuzziPunishers (Bos)LW6134010094104810.00%28414.01101118000000050.00%410000.9500000000
7Madison BoweyPunishers (Bos)D6123120518106210.00%916327.18112325000239100.00%019000.3700000010
8Nikita GusevPunishers (Bos)LW6033-4803412190.00%26510.8500000000000060.00%540000.9200000000
9John QuennevillePunishers (Bos)C6303-30043162618.75%1579.6600000000000046.67%3021001.0400000000
10Joseph CramarossaPunishers (Bos)LW6112-1405171814.29%1488.070000000006100.00%111000.8300000001
11Fredrik ClaessonPunishers (Bos)D6022-540566330.00%1011218.71000011000220000.00%005000.3600000000
12Andreas AthanasiouPunishers (Bos)LW610106086222104.55%512721.250000230002210060.00%1522000.1600000000
13Austen BrassardPunishers (Bos)RW6011-440956340.00%06310.5900000000000075.00%401000.3100000000
14Elias LindholmPunishers (Bos)C41010000131233.33%0112.79000000000000100.00%601001.7900000000
15Daniel AudettePunishers (Bos)C6011-220233020.00%0345.8200000000000016.67%1200000.5700000000
16Michael JolyPunishers (Bos)RW6000-120055150.00%0416.930000000000000.00%011000.0000000000
17Noah JuulsenPunishers (Bos)D6000020343110.00%47212.060000100002000.00%002000.0000000000
18Ben BetkerPunishers (Bos)D6000-740795320.00%512220.44000117000022000.00%000000.0000000000
19Niko MikkolaPunishers (Bos)D6000000110000.00%0203.410000000002000.00%001000.0000000000
20Connor CliftonPunishers (Bos)D6000-100271000.00%66911.5600000000011000.00%000000.0000000000
21Brett KulakPunishers (Bos)D4000-100031000.00%0184.730000500001000.00%000000.0000000000
22Nicolas RoyPunishers (Bos)C6000000010000.00%0152.62000000000130050.00%400000.0000000000
23Anton BlidhPunishers (Bos)LW6000-240110000.00%0132.3000002000000050.00%200000.0000000000
24Alex SchoenbornPunishers (Bos)RW6000000000000.00%040.76000010000200100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne140202949-26875105134201511159.95%63175812.56471117211000122552051.01%3963745000.5611010214
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
1Daniel AltshullerPunishers (Bos)62400.8774.513330025204117000.000060000
2Louis DominguePunishers (Bos)10000.8674.0030002158000.000006000
Stats d'équipe Total ou en Moyenne72400.8774.463630027219125000.000066000


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 PelechPunishers (Bos)D211994-01-01Yes194 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No850,000$
Alex SchoenbornPunishers (Bos)RW191996-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm275,000$0$0$No
Andreas AthanasiouPunishers (Bos)LW211994-01-01Yes177 Lbs6 ft0NoNoNo1Pro & Farm675,000$0$0$No
Anton BlidhPunishers (Bos)LW201995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm275,000$0$0$No
Austen BrassardPunishers (Bos)RW221993-01-01Yes188 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$No
Austin WagnerPunishers (Bos)LW181997-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Ben BetkerPunishers (Bos)D211994-01-01Yes185 Lbs6 ft6NoNoNo1Pro & Farm300,000$0$0$No
Brett KulakPunishers (Bos)D211994-01-01Yes181 Lbs6 ft1NoNoNo2Pro & Farm650,000$0$0$No700,000$
Carter AshtonPunishers (Bos)RW241991-01-01Yes215 Lbs6 ft3NoNoNo1Pro & Farm450,000$0$0$No
Connor CliftonPunishers (Bos)D201995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm300,000$0$0$No300,000$
Corey TroppPunishers (Bos)RW261989-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$No
Daniel AltshullerPunishers (Bos)G211994-01-01No191 Lbs6 ft2NoNoNo1Pro & Farm400,000$0$0$No
Daniel AudettePunishers (Bos)C191996-01-01Yes176 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Elias LindholmPunishers (Bos)C211994-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm650,000$0$0$No750,000$800,000$
Fredrik ClaessonPunishers (Bos)D231992-01-01Yes205 Lbs6 ft1NoNoNo2Pro & Farm400,000$0$0$No400,000$
Gabriel GagnePunishers (Bos)RW191996-01-01Yes187 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
John QuennevillePunishers (Bos)C191996-01-01Yes195 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Joseph CramarossaPunishers (Bos)LW231992-01-01Yes192 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$No
Louis DominguePunishers (Bos)G231992-01-01No210 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Madison BoweyPunishers (Bos)D201995-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No995,000$
Michael JolyPunishers (Bos)RW201995-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm350,000$0$0$No
Nicolas RoyPunishers (Bos)C181997-01-01Yes200 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Nikita GusevPunishers (Bos)LW231992-01-01Yes163 Lbs5 ft9NoNoNo1Pro & Farm600,000$0$0$No
Niko MikkolaPunishers (Bos)D191996-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Noah JuulsenPunishers (Bos)D181997-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Radek FaksaPunishers (Bos)C211994-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm650,000$0$0$No750,000$
Tyler BertuzziPunishers (Bos)LW201995-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No850,000$950,000$
Zack HamillPunishers (Bos)C271988-01-01No190 Lbs5 ft11NoNoNo1Pro & Farm990,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2820.96190 Lbs6 ft11.54532,679$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andreas AthanasiouZack HamillCorey Tropp40122
2Tyler BertuzziRadek FaksaCarter Ashton30122
3Nikita GusevElias LindholmAusten Brassard20122
4Joseph CramarossaJohn QuennevilleMichael Joly10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyAdam Pelech40122
2Brett KulakBen Betker30122
3Fredrik ClaessonNoah Juulsen20122
4Connor CliftonNiko Mikkola10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andreas AthanasiouZack HamillCorey Tropp60122
2Tyler BertuzziRadek FaksaCarter Ashton40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyAdam Pelech60122
2Brett KulakBen Betker40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Zack HamillCorey Tropp60122
2Andreas AthanasiouRadek Faksa40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyAdam Pelech60122
2Brett KulakBen Betker40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zack Hamill60122Madison BoweyAdam Pelech60122
2Corey Tropp40122Brett KulakBen Betker40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Zack HamillCorey Tropp60122
2Andreas AthanasiouRadek Faksa40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Madison BoweyAdam Pelech60122
2Brett KulakBen Betker40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andreas AthanasiouZack HamillCorey TroppMadison BoweyAdam Pelech
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andreas AthanasiouZack HamillCorey TroppMadison BoweyAdam Pelech
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Daniel Audette, Anton Blidh, Alex SchoenbornDaniel Audette, Anton BlidhAlex Schoenborn
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Fredrik Claesson, Noah Juulsen, Connor CliftonFredrik ClaessonNoah Juulsen, Connor Clifton
Tirs de Pénalité
Zack Hamill, Corey Tropp, Andreas Athanasiou, Radek Faksa, Elias Lindholm
Gardien
#1 : Daniel Altshuller, #2 : Louis Domingue


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
1Thunderbirds624000002027-730300000715-8321000001312140.3332029490047722015969694219638710524416.67%42685.71%07515149.67%7614552.41%5110051.00%122651366110751
Total624000002027-730300000715-8321000001312140.3332029490047722015969694219638710524416.67%42685.71%07515149.67%7614552.41%5110051.00%122651366110751
_Since Last GM Reset624000002027-730300000715-8321000001312140.3332029490047722015969694219638710524416.67%42685.71%07515149.67%7614552.41%5110051.00%122651366110751
_Vs Conference624000002027-730300000715-8321000001312140.3332029490047722015969694219638710524416.67%42685.71%07515149.67%7614552.41%5110051.00%122651366110751
_Vs Division624000002027-730300000715-8321000001312140.3332029490047722015969694219638710524416.67%42685.71%07515149.67%7614552.41%5110051.00%122651366110751

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
64L1202949201219638710500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62400002027
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000715
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
32100001312
Derniers 10 Matchs
WLOTWOTL SOWSOL
042000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
24416.67%42685.71%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
59696944772
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
7515149.67%7614552.41%5110051.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
122651366110751


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 - 2020-10-097Punishers3Thunderbirds4LSommaire du Match
2 - 2020-10-1015Punishers6Thunderbirds5WXSommaire du Match
3 - 2020-10-1123Thunderbirds4Punishers0LSommaire du Match
4 - 2020-10-1231Thunderbirds5Punishers4LSommaire du Match
5 - 2020-10-1339Punishers4Thunderbirds3WXSommaire du Match
6 - 2020-10-1447Thunderbirds6Punishers3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance4,6482,329
Assistance PCT77.47%77.63%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
37 2326 - 77.52% 81,375$244,125$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,491,500$ 1,486,500$ 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