Punishers
GP: 80 | W: 43 | L: 31 | OTL: 6 | P: 92
GF: 358 | GA: 354 | PP%: 25.80% | PK%: 75.68%
DG: Jean-Sébastien Larin | Morale : 47 | 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 HamillX100.006928797673807274758271587166622824710271990,000$
2Corey TroppX100.006729727378726971706877676451483158690261700,000$
3Andreas Athanasiou (R) (A)X100.007035796579686969686977606647435551670211675,000$
4Radek Faksa (R)X100.006645777269677069736674566544435163660212650,000$
5Tyler Bertuzzi (R) (A)X100.007435726476578569626969666044426267660203750,000$
6Carter Ashton (R)X100.006743686767616868627269646548463556650241450,000$
7Nikita Gusev (R)X100.005224636860717371736967466547474667630231600,000$
8John Quenneville (R)X100.006128716662636261767871466041416867630191500,000$
9Joseph Cramarossa (R)X100.007043646365606064476456566352523332600231400,000$
10Austen Brassard (R)X100.006539646165596963656067535844444464600221300,000$
11Michael Joly (R)X100.005820746156686155646861486042425356580201350,000$
12Anton Blidh (R)X100.007233646764547061546059454342425460570201275,000$
13Daniel Audette (R)X100.006542765264545563556751566241416049570191500,000$
14Alex Schoenborn (R)X100.006243575567566755526063424441415760550191275,000$
15Nicolas Roy (R)X100.004438645658524958575652425240406741520182500,000$
16Gabriel Gagne (R)X100.004926655058464860535061395743426434520192500,000$
17Austin Wagner (R)X100.006536534357475545485048314440407627460182500,000$
18Adam Pelech (R) (C)X100.007239797773707374517065736550435659700212750,000$
19Madison Bowey (R)X100.007436847268677268396751834947426261700202900,000$
20Ben Betker (R)X100.005729746870716352385952764844445029630211300,000$
21Fredrik Claesson (R)X100.006033706157705962406250745152544264620232400,000$
22Noah Juulsen (R)X100.006339766162666760455455654340407667610182500,000$
23Connor Clifton (R)X100.005835745555686346655651654542425545570202300,000$
24Niko Mikkola (R)X100.006341745754615750376239555142436262560192500,000$
Rayé
1Elias Lindholm (R)X100.006526846381746767686474566944446040660213650,000$
2Brett Kulak (R)X97.847233717266716162566260765945434942660212650,000$
MOYENNE D'ÉQUIPE99.92643571636664656257646158574544545261
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 Domingue100.00747273746970688071717249454366700
2Daniel Altshuller100.00666472605875656362756443435067640
Rayé
MOYENNE D'ÉQUIPE100.0070687367647367726773684644476767
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
1Radek FaksaPunishers (Bos)C80376097145751171682228013316.67%32149118.651214263622000091194052.86%15194428011.3023000554
2Corey TroppPunishers (Bos)RW79394180-5480116862617216514.94%36127316.12910193413410181545346.41%1534726111.2616000456
3Andreas AthanasiouPunishers (Bos)LW67324375-8380106802296314313.97%46133019.8669152317000011184342.28%1233217021.1316000514
4Miikka SalomakiBruinsRW3437347121204459159578123.27%1977322.741113242911330341085150.75%2664314051.8412000632
5Zack HamillPunishers (Bos)C43224264-5805978127449117.32%2176317.7771926211310112760254.12%1044437011.6804000441
6Tyler BertuzziPunishers (Bos)LW8031306116460132971735510017.92%32135116.908715252080001555140.00%603019000.9001000164
7Adam PelechPunishers (Bos)D7194554-22609412715366775.88%113174524.5931215242400224211310.00%04755000.6201000204
8Carter AshtonPunishers (Bos)RW79193150-23360106671797510710.61%30103013.050669710002260150.00%503527000.9712000132
9Elias LindholmPunishers (Bos)C64193049-51609196146487713.01%25109317.0861016181660000324050.18%10961719000.9012000201
10Madison BoweyPunishers (Bos)D76113748025585161107465710.28%137190925.124610132090112208100.00%01979000.5012100134
11Austen BrassardPunishers (Bos)RW80231740235158769118387319.49%2392111.52101349000001244.19%43157000.8700010031
12Nikita GusevPunishers (Bos)LW80191736-742071401554311412.26%1795911.99303538000052144.44%362713000.7500000011
13Brett KulakPunishers (Bos)D7652429540010911410446424.81%82151119.88459171900001162000.00%02456000.3800000011
14Fredrik ClaessonPunishers (Bos)D8002727740042905426270.00%79113814.23022172000172000.00%0348000.4700000003
15John QuennevillePunishers (Bos)C80121527-21180745713542798.89%1486010.7600031000002150.92%434239000.6300000010
16Samuel MorinBruinsD2722123-60029605325263.77%3967024.83246782000281000.00%01922000.6900000010
17Joseph CramarossaPunishers (Bos)LW6191019-18260424049294618.37%124847.94000030000261036.36%11139000.7800000101
18Daniel AudettePunishers (Bos)C62811197100323339143420.51%134186.7500000000002040.76%15774000.9100000100
19Anton BlidhPunishers (Bos)LW70791610100351855273412.73%13745.3510115000080250.00%8134000.8500000101
20Ben BetkerPunishers (Bos)D6021315-410036533211196.25%4687814.651674106000084000.00%0621000.3400000000
21Noah JuulsenPunishers (Bos)D8001414-414036663328170.00%6698312.30022247000036000.00%0119000.2800000000
22Michael JolyPunishers (Bos)RW73347-88018143718168.11%33254.46000012000001038.89%1865000.4300000000
23Connor CliftonPunishers (Bos)D65022-12120182894110.00%264757.3200000000019000.00%0212000.0800000000
24Alex SchoenbornPunishers (Bos)RW7011218014113417.69%31712.45000050000131042.86%714000.2300000000
25Niko MikkolaPunishers (Bos)D74011812014174110.00%113725.030000000006000.00%019000.0500000000
26Nicolas RoyPunishers (Bos)C59000000121000.00%0500.85000000001390033.33%1200000.0000000000
27Gabriel GagnePunishers (Bos)RW53000-200100000.00%0160.30000000000120050.00%400000.0000000000
28Austin WagnerPunishers (Bos)LW35000000110000.00%080.250000000007000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1858347579926-3761315161017222647962157113.11%9262338412.59781252032752283448381688411850.96%50415185331100.79829110343740
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
1Louis DominguePunishers (Bos)67342330.8784.1534600023919671005630.647176515531
2Daniel AltshullerPunishers (Bos)309830.8654.65136900106784405320.66791565011
Stats d'équipe Total ou en Moyenne97433160.8754.2948290034527511410950.654268080542


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 GusevJohn QuennevilleAusten Brassard20122
4Joseph CramarossaDaniel AudetteMichael Joly10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechMadison Bowey40122
2Ben BetkerFredrik Claesson30122
3Noah JuulsenConnor Clifton20122
4Niko MikkolaAdam Pelech10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andreas AthanasiouZack HamillCorey Tropp60122
2Tyler BertuzziRadek FaksaCarter Ashton40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechMadison Bowey60122
2Ben BetkerFredrik Claesson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Zack HamillCorey Tropp60122
2Andreas AthanasiouRadek Faksa40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechMadison Bowey60122
2Ben BetkerFredrik Claesson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zack Hamill60122Adam PelechMadison Bowey60122
2Corey Tropp40122Ben BetkerFredrik Claesson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Zack HamillCorey Tropp60122
2Andreas AthanasiouRadek Faksa40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechMadison Bowey60122
2Ben BetkerFredrik Claesson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andreas AthanasiouZack HamillCorey TroppAdam PelechMadison Bowey
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andreas AthanasiouZack HamillCorey TroppAdam PelechMadison Bowey
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anton Blidh, Alex Schoenborn, Nicolas RoyAnton Blidh, Alex SchoenbornNicolas Roy
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Noah Juulsen, Connor Clifton, Niko MikkolaNoah JuulsenConnor Clifton, Niko Mikkola
Tirs de Pénalité
Zack Hamill, Corey Tropp, Andreas Athanasiou, Radek Faksa, Tyler Bertuzzi
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
1Admirals220000001358110000008351100000052341.000132134001021321191089877956874335318194412433.33%7185.71%0938185150.68%913181450.33%725139751.90%166192517307561444711
2Barracuda21100000660110000003121010000035-220.5006121810102132119107987795687433753012413133.33%6183.33%0938185150.68%913181450.33%725139751.90%166192517307561444711
3Bears312000001216-41010000035-221100000911-220.33312203200102132119109787795687433751918709333.33%10370.00%0938185150.68%913181450.33%725139751.90%166192517307561444711
4Checkers311000011012-2210000017701010000035-230.50010142400102132119101038779568743310436225614321.43%11463.64%0938185150.68%913181450.33%725139751.90%166192517307561444711
5Comets606000002441-17303000001119-8303000001322-900.000244367101021321191020687795687433201746013025728.00%301163.33%2938185150.68%913181450.33%725139751.90%166192517307561444711
6Condors20200000812-41010000036-31010000056-100.0008111900102132119107087795687433772812408112.50%60100.00%0938185150.68%913181450.33%725139751.90%166192517307561444711
7Crunch3200100016971000100065122000000104661.0001625410010213211910101877956874339637146014750.00%7271.43%0938185150.68%913181450.33%725139751.90%166192517307561444711
8Devils321000001213-12200000011831010000015-440.66712193100102132119108287795687433863424591119.09%12283.33%0938185150.68%913181450.33%725139751.90%166192517307561444711
9Eagles430010001596210010008622200000073481.00015264100102132119101358779568743315243247820630.00%12283.33%0938185150.68%913181450.33%725139751.90%166192517307561444711
10Griffins312000001719-21010000046-2211000001313020.3331729460010213211910105877956874331052522637342.86%11281.82%0938185150.68%913181450.33%725139751.90%166192517307561444711
11Heat30300000515-1020200000411-71010000014-300.00057120010213211910998779568743311641184916212.50%9277.78%0938185150.68%913181450.33%725139751.90%166192517307561444711
12IceHogs21100000810-2110000007521010000015-420.5008132100102132119106187795687433662922415120.00%11281.82%0938185150.68%913181450.33%725139751.90%166192517307561444711
13Influenza220000001055110000004221100000063341.0001016260010213211910548779568743370246408112.50%3166.67%1938185150.68%913181450.33%725139751.90%166192517307561444711
14Little Stars953000105546954100000362313412000101923-4120.667559414910102132119102888779568743332598100182401537.50%501276.00%1938185150.68%913181450.33%725139751.90%166192517307561444711
15Monsters20100001714-71010000028-61000000156-110.250712190010213211910678779568743380171651300.00%8362.50%0938185150.68%913181450.33%725139751.90%166192517307561444711
16Moose3200010013851000010034-122000000104650.833132134001021321191099877956874331034118586116.67%9277.78%0938185150.68%913181450.33%725139751.90%166192517307561444711
17Penguins3300000017512110000008172200000094561.00017274400102132119101148779568743310546165814428.57%8187.50%0938185150.68%913181450.33%725139751.90%166192517307561444711
18Phantoms2020000037-41010000013-21010000024-200.00035810102132119105787795687433652712457228.57%6183.33%0938185150.68%913181450.33%725139751.90%166192517307561444711
19Rampage431000002218432100000171611100000052360.75022375900102132119101488779568743313639357413323.08%11372.73%0938185150.68%913181450.33%725139751.90%166192517307561444711
20Reign3210000014122110000006422110000088040.66714223610102132119101008779568743310244205114428.57%11281.82%0938185150.68%913181450.33%725139751.90%166192517307561444711
21Rocket22000000743110000004311100000031241.0007132000102132119107687795687433612212567114.29%6183.33%0938185150.68%913181450.33%725139751.90%166192517307561444711
22Senators312000001218-61100000063320200000615-920.3331218300010213211910978779568743310442244010110.00%12283.33%0938185150.68%913181450.33%725139751.90%166192517307561444711
23Sound Tigers210001008801000010056-11100000032130.750816240010213211910668779568743379148366116.67%40100.00%0938185150.68%913181450.33%725139751.90%166192517307561444711
24Thunderbirds62101011302463200001018108301010011214-290.750304777001021321191021787795687433207625112629724.14%23769.57%0938185150.68%913181450.33%725139751.90%166192517307561444711
25Wolfpack311000011418-420100001813-51100000065130.50014223600102132119101048779568743311338265913215.38%13561.54%0938185150.68%913181450.33%725139751.90%166192517307561444711
Total803831032243583544402013022121931781540181801012165176-11920.5753585909485010213211910271487795687433275692861116073148125.80%2967275.68%4938185150.68%913181450.33%725139751.90%166192517307561444711
_Since Last GM Reset803831032243583544402013022121931781540181801012165176-11920.5753585909485010213211910271487795687433275692861116073148125.80%2967275.68%4938185150.68%913181450.33%725139751.90%166192517307561444711
_Vs Conference502319030232322284271480201214012218239110101192106-14590.590232379611201021321191016948779568743317455904149712195826.48%1985373.23%3938185150.68%913181450.33%725139751.90%166192517307561444711
_Vs Division2171001021109111-21164000106552131016010114459-15210.500109184293201021321191071187795687433733234211438942930.85%1033070.87%3938185150.68%913181450.33%725139751.90%166192517307561444711

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8092W135859094827142756928611160750
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8038313224358354
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4020132212193178
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4018181012165176
Derniers 10 Matchs
WLOTWOTL SOWSOL
630010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3148125.80%2967275.68%4
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
8779568743310213211910
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
938185150.68%913181450.33%725139751.90%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
166192517307561444711


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 - 2020-10-109Punishers5Little Stars3WR1Sommaire du Match
4 - 2020-10-1220Little Stars5Punishers9WSommaire du Match
7 - 2020-10-1537Little Stars3Punishers9WR1Sommaire du Match
8 - 2020-10-1644Punishers7Thunderbirds6WXSommaire du Match
12 - 2020-10-2063Rampage8Punishers6LSommaire du Match
13 - 2020-10-2172Punishers5Little Stars7LR1Sommaire du Match
15 - 2020-10-2382Punishers7Comets9LR1Sommaire du Match
18 - 2020-10-2699Thunderbirds4Punishers8WSommaire du Match
21 - 2020-10-29114Comets5Punishers3LR1Sommaire du Match
25 - 2020-11-02134Little Stars8Punishers6LSommaire du Match
27 - 2020-11-04145Punishers3Eagles1WSommaire du Match
29 - 2020-11-06158Eagles4Punishers5WSommaire du Match
30 - 2020-11-07163Punishers4Penguins2WSommaire du Match
34 - 2020-11-11187Comets6Punishers3LR1Sommaire du Match
39 - 2020-11-16209Phantoms3Punishers1LSommaire du Match
41 - 2020-11-18218Punishers1IceHogs5LSommaire du Match
43 - 2020-11-20235Condors6Punishers3LSommaire du Match
45 - 2020-11-22244Punishers2Reign1WSommaire du Match
47 - 2020-11-24255Punishers6Little Stars5WXXR1Sommaire du Match
49 - 2020-11-26262Punishers4Eagles2WSommaire du Match
51 - 2020-11-28273Crunch5Punishers6WXSommaire du Match
54 - 2020-12-01290Punishers3Checkers5LSommaire du Match
56 - 2020-12-03300Rampage5Punishers6WSommaire du Match
58 - 2020-12-05314Sound Tigers6Punishers5LXSommaire du Match
62 - 2020-12-09332Punishers6Wolfpack5WSommaire du Match
64 - 2020-12-11343Monsters8Punishers2LSommaire du Match
66 - 2020-12-13356Punishers1Heat4LSommaire du Match
68 - 2020-12-15366Punishers5Crunch2WSommaire du Match
70 - 2020-12-17373Eagles2Punishers3WXSommaire du Match
72 - 2020-12-19385Punishers3Barracuda5LSommaire du Match
74 - 2020-12-21395Punishers6Influenza3WSommaire du Match
76 - 2020-12-23402Punishers5Penguins2WSommaire du Match
78 - 2020-12-25412Checkers5Punishers4LXXSommaire du Match
81 - 2020-12-28431Little Stars5Punishers8WR1Sommaire du Match
84 - 2020-12-31447Punishers1Devils5LSommaire du Match
86 - 2021-01-02456Griffins6Punishers4LSommaire du Match
89 - 2021-01-05473Punishers3Rocket1WSommaire du Match
91 - 2021-01-07482Rocket3Punishers4WSommaire du Match
95 - 2021-01-11505Rampage3Punishers5WSommaire du Match
98 - 2021-01-14519Punishers3Sound Tigers2WSommaire du Match
101 - 2021-01-17531Comets8Punishers5LR1Sommaire du Match
107 - 2021-01-23555Little Stars2Punishers4WSommaire du Match
109 - 2021-01-25567Punishers5Rampage2WSommaire du Match
111 - 2021-01-27579Punishers3Little Stars8LR1Sommaire du Match
112 - 2021-01-28585Reign4Punishers6WSommaire du Match
115 - 2021-01-31601Punishers5Crunch2WSommaire du Match
116 - 2021-02-01610Admirals3Punishers8WSommaire du Match
121 - 2021-02-06632Bears5Punishers3LSommaire du Match
124 - 2021-02-09652Punishers6Moose3WSommaire du Match
126 - 2021-02-11659Barracuda1Punishers3WSommaire du Match
130 - 2021-02-15681Wolfpack7Punishers3LSommaire du Match
134 - 2021-02-19697Punishers5Condors6LSommaire du Match
135 - 2021-02-20708Checkers2Punishers3WSommaire du Match
139 - 2021-02-24727Punishers1Bears6LSommaire du Match
140 - 2021-02-25735Penguins1Punishers8WSommaire du Match
143 - 2021-02-28747Punishers2Phantoms4LSommaire du Match
146 - 2021-03-03758Moose4Punishers3LXSommaire du Match
149 - 2021-03-06771Punishers5Monsters6LXXSommaire du Match
151 - 2021-03-08785IceHogs5Punishers7WSommaire du Match
155 - 2021-03-12801Punishers2Comets8LR1Sommaire du Match
157 - 2021-03-14811Wolfpack6Punishers5LXXSommaire du Match
160 - 2021-03-17826Punishers4Comets5LR1Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
162 - 2021-03-19835Punishers0Thunderbirds2LSommaire du Match
163 - 2021-03-20842Influenza2Punishers4WSommaire du Match
167 - 2021-03-24863Devils3Punishers5WSommaire du Match
169 - 2021-03-26874Punishers6Reign7LSommaire du Match
171 - 2021-03-28884Punishers8Bears5WSommaire du Match
173 - 2021-03-30892Heat5Punishers2LSommaire du Match
177 - 2021-04-03912Punishers5Thunderbirds6LXXSommaire du Match
178 - 2021-04-04918Heat6Punishers2LSommaire du Match
181 - 2021-04-07930Punishers3Senators7LSommaire du Match
183 - 2021-04-09939Punishers4Moose1WSommaire du Match
185 - 2021-04-11946Thunderbirds3Punishers6WSommaire du Match
187 - 2021-04-13956Punishers8Griffins7WSommaire du Match
189 - 2021-04-15970Senators3Punishers6WSommaire du Match
191 - 2021-04-17982Punishers3Senators8LSommaire du Match
193 - 2021-04-19987Punishers5Griffins6LSommaire du Match
195 - 2021-04-211003Punishers5Admirals2WSommaire du Match
197 - 2021-04-231010Thunderbirds3Punishers4WXXSommaire du Match
204 - 2021-04-301039Devils5Punishers6WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance54,17627,445
Assistance PCT67.72%68.61%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2041 - 68.02% 71,293$2,851,737$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,277,453$ 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
7,276$ 1,758,249$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 9,715$ 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