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Punishers
GP: 80 | W: 39 | L: 30 | OTL: 11 | P: 89
GF: 327 | GA: 323 | PP%: 18.02% | PK%: 79.23%
DG: Enrico Roussel | Morale : 39 | Moyenne d’équipe : 64

Centre de jeu
Americans
39-32-9, 87pts
3
FINAL
2 Punishers
39-30-11, 89pts
Team Stats
W3SéquenceL2
18-17-5Fiche domicile19-15-6
21-15-4Fiche domicile20-15-5
4-3-3Derniers 10 matchs4-5-1
4.00Buts par match 4.09
4.25Buts contre par match 4.04
25.09%Pourcentage en avantage numérique18.02%
79.01%Pourcentage en désavantage numérique79.23%
Punishers
39-30-11, 89pts
1
FINAL
3 Crunch
39-31-10, 88pts
Team Stats
L2SéquenceW1
19-15-6Fiche domicile24-11-5
20-15-5Fiche domicile15-20-5
4-5-1Derniers 10 matchs6-4-0
4.09Buts par match 3.75
4.04Buts contre par match 4.04
18.02%Pourcentage en avantage numérique19.24%
79.23%Pourcentage en désavantage numérique80.85%
Meneurs d'équipe
Buts
Oskar Lindblom
52
Passes
Oskar Lindblom
57
Points
Oskar Lindblom
109
Plus/Moins
Joel Kiviranta
25
Victoires
Antoine Bibeau
31
Pourcentage d’arrêts
Antoine Bibeau
0.889

Statistiques d’équipe
Buts pour
327
4.09 GFG
Tirs pour
2610
32.63 Avg
Pourcentage en avantage numérique
18.0%
51 GF
Début de zone offensive
35.5%
Buts contre
323
4.04 GAA
Tirs contre
2662
33.28 Avg
Pourcentage en désavantage numérique
79.2%%
70 GA
Début de la zone défensive
37.8%
Informations de l'équipe

Directeur généralEnrico Roussel
EntraîneurJohn Anderson
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
CapitaineJake Evans
Assistant #1Brett Seney
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,816
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 250
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Oskar Lindblom (R)X100.007544817770767576777077627457494549720233925,000$
2Karson KuhlmanX100.007549787276637970726878686153544040700242850,000$
3Daniel Audette (R)X100.007343857072656972657562707248494143690232750,000$
4Kurtis GabrielX100.007554817580657269607567626757583342690261750,000$
5Vinni LettieriX100.006639867477797559697963666152534131680242850,000$
6Kole Lind (R)X100.006333786863727274788668566647455355680214750,000$
7Warren Foegele (R)X100.005336957173817265647157656247474541660233500,000$
8Carson Meyer (R)X100.007344756774617866607171596249484433660222600,000$
9Adam Ruzicka (R)X100.007239727281597767606871536143436559650202575,000$
10Joel Kiviranta (R)X100.006342757067626571726067607050494142650231575,000$
11Ben Meyers (R)X100.006635726961676257605368595645434139600211500,000$
12Braden Tracey (R)X100.007136605474507262466263414140407054560182500,000$
13Noah Juulsen (R)X100.007439837774757774597071806365485132740221900,000$
14Ben Betker (R)X100.006829817577767467527267786470533555720251950,000$
15Nelson Nogier (R)X100.006441796970706666467062755152483932680231800,000$
16Niko Mikkola (R)X100.007041817464726764527154736554514359680233650,000$
17Nicolas Beaudin (R)X100.005728717860617067396861694444455638640201500,000$
18Urho Vaakanainen (R)X100.006224816562616254366443734643436245620202575,000$
Rayé
1Jesse Ylonen (R)X100.006643786969706968646670566742455956650201500,000$
2Marcus Karlberg (R)X100.005427646245506153636955445441416220550191500,000$
3Ryan Suzuki (R)X100.005030696353555958647155374640406556550182500,000$
4Walker Duehr (R)X100.005633685053525452535362555845463618540221300,000$
5Jack Ahcan (R)X100.005929756563636658306247744546494039620221350,000$
6Rasmus Sandin (R)X100.006033716051716364386463555442426742600191500,000$
7Lassi Thomson (R)X100.006827755658666760406258495541416839580192500,000$
MOYENNE D’ÉQUIPE100.00653777686766696557686362594947504264
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Antoine Bibeau100.00727466696968697881686756583474710251900,000$
2Cal Petersen100.00626769606379805755857250513679670251600,000$
Rayé
1Jack LaFontaine100.00626473514573645655676043434920580211300,000$
2Carter Gylander (R)100.00575758405153634640535840405720510182500,000$
MOYENNE D’ÉQUIPE100.0063666755576869595868644748444862
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Anderson67736666458551Can571300,000$


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
1Oskar LindblomPunishers (Bos)LW805257109858015213540010323813.00%50186623.348142249247303152675251.10%5018650241.1749000866
2Kurtis GabrielPunishers (Bos)RW76444791177201291002547614517.32%41148319.5271522302280003834340.48%1265431121.2336000535
3Karson KuhlmanPunishers (Bos)C702356797580127143171649413.45%38152921.85715221920803322331048.46%20724129001.0326000172
4Kole LindPunishers (Bos)RW72264874-15360107681926411413.54%27116516.1961117211620003404353.62%693510001.2700000335
5Daniel AudettePunishers (Bos)C7428447232201361041866611815.05%36128817.4287151818001171291344.62%10312823011.1215000525
6Adam RuzickaPunishers (Bos)C80273461658011986169449015.98%20107013.381012550001673145.94%5663610001.1400000250
7Vinni LettieriPunishers (Bos)RW67282048-192357779127316122.05%20113316.925510112110000153146.15%912722010.8500001421
8Carson MeyerPunishers (Bos)RW68173148202608248129419313.18%2378411.531123210000392252.27%441917001.2200000151
9Ben BetkerPunishers (Bos)D80133245-1373510915914750708.84%145214226.787512262780005290110%03271000.4211000023
10Joel KivirantaPunishers (Bos)LW66202343251406255139457214.39%1983412.650003220112873233.33%301214021.0300000301
11Warren FoegelePunishers (Bos)LW75103242-1600648011248648.93%30123016.402810131840001524041.18%511623000.6800000113
12Jesse YlonenPunishers (Bos)RW77171936510050581424310411.97%197049.15000050003453048.65%373811001.0200000320
13Niko MikkolaPunishers (Bos)D804273192601021297832405.13%101173821.7325752061122229020%01258000.3600000001
14Noah JuulsenPunishers (Bos)D574273102007711111950553.36%96144425.35167181940220198000%03444000.4300000023
15Nicolas BeaudinPunishers (Bos)D73326291166051858234263.66%73132218.1112381340001147010%01439000.4400000000
16Ben MeyersPunishers (Bos)C661261810100483954183422.22%165538.3900002000031142.11%247910010.6500000101
17Nelson NogierPunishers (Bos)D4111415422035544620152.17%5381219.81112192011191000%01023000.3701000011
18Braden TraceyPunishers (Bos)LW7877140360781741131517.07%126738.6400000101102035.29%1768000.4200000010
19Urho VaakanainenPunishers (Bos)D7011112218036663914182.56%5486912.42011226000041000%0224000.2800000000
20Jack AhcanPunishers (Bos)D63268324023513616195.56%4074211.79000240000065000%0324000.2200000000
21Rasmus SandinPunishers (Bos)D6706613180202621830%226309.4100003000032000%0612000.1900000000
22Ryan SuzukiPunishers (Bos)C77404-28017122191319.05%13094.02000014000001041.18%10241000.2600000000
23Lassi ThomsonPunishers (Bos)D64011-58016157330%64156.4900000000023000%003000.0500000000
24Marcus KarlbergPunishers (Bos)LW45000-260986210%11453.24000013000000047.37%192100000000000
Statistiques d’équipe totales ou en moyenne16663435749179070210172617282718894150512.62%9432489214.94579615323125355914472186382246.83%50035265583110.741128001374238
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
1Antoine BibeauPunishers (Bos)58311760.8893.613355602021825971130.632195327111
2Cal PetersenPunishers (Bos)2781350.8664.44150120111831363130.66762753000
Statistiques d’équipe totales ou en moyenne853930110.8823.874856803132656133426258080111


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam RuzickaPunishers (Bos)C201999-01-01SVKYes220 Lbs6 ft4NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm575,000$0$0$No725,000$--------575,000$--------No--------
Antoine BibeauPunishers (Bos)G251994-01-01CANNo185 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Ben BetkerPunishers (Bos)D251994-01-01CANYes185 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------
Ben MeyersPunishers (Bos)C211998-01-01USAYes194 Lbs5 ft11NoNoFree AgentNoNo12024-09-18FalseFalsePro & Farm500,000$0$0$No---------------------------
Braden TraceyPunishers (Bos)LW182001-01-01CANYes176 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Cal PetersenPunishers (Bos)G251994-01-01USANo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------
Carson MeyerPunishers (Bos)RW221997-01-01USAYes184 Lbs5 ft11NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Carter GylanderPunishers (Bos)G182001-01-01CANYes165 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Daniel AudettePunishers (Bos)C231996-01-01CANYes176 Lbs5 ft9NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm750,000$0$0$No800,000$--------750,000$--------No--------
Jack AhcanPunishers (Bos)D221997-01-01USAYes180 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm350,000$0$0$No---------------------------
Jack LaFontainePunishers (Bos)G211998-01-01CANNo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm300,000$0$0$No---------------------------
Jesse YlonenPunishers (Bos)RW201999-01-01USAYes188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Joel KivirantaPunishers (Bos)LW231996-01-01FINYes180 Lbs5 ft11NoNoFree AgentNoNo12024-09-18FalseFalsePro & Farm575,000$0$0$No---------------------------
Karson KuhlmanPunishers (Bos)C241995-01-01USANo185 Lbs5 ft11NoNoTrade2024-08-06NoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------
Kole LindPunishers (Bos)RW211998-01-01CANYes178 Lbs6 ft1NoNoFree AgentNoNo42024-09-18FalseFalsePro & Farm750,000$0$0$No850,000$900,000$995,000$------750,000$750,000$750,000$------NoNoNo------
Kurtis GabrielPunishers (Bos)RW261993-01-01CANNo185 Lbs6 ft4NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm750,000$0$0$No---------------------------
Lassi ThomsonPunishers (Bos)D192000-01-01FINYes190 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Marcus KarlbergPunishers (Bos)LW192000-01-01SWEYes165 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Nelson NogierPunishers (Bos)D231996-01-01CANYes191 Lbs6 ft2NoNoTrade2025-04-08NoNo12024-08-21FalseFalsePro & Farm800,000$0$0$No---------------------------
Nicolas BeaudinPunishers (Bos)D201999-01-01CANYes168 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Niko MikkolaPunishers (Bos)D231996-01-01FINYes185 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm650,000$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Noah JuulsenPunishers (Bos)D221997-01-01CANYes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Oskar LindblomPunishers (Bos)LW231996-01-01SWEYes191 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Rasmus SandinPunishers (Bos)D192000-01-01SWEYes182 Lbs5 ft11NoNoTrade2024-08-06NoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Ryan SuzukiPunishers (Bos)C182001-01-01CANYes176 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Urho VaakanainenPunishers (Bos)D201999-01-01FINYes200 Lbs6 ft2NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Vinni LettieriPunishers (Bos)RW241995-01-01USANo185 Lbs5 ft11NoNoTrade2025-04-08NoNo22024-08-21FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------
Walker DuehrPunishers (Bos)RW221997-01-01USAYes210 Lbs6 ft2NoNoFree AgentNoNo12024-10-24FalseFalsePro & Farm300,000$0$0$No---------------------------
Warren FoegelePunishers (Bos)LW231996-01-01CANYes198 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2921.69187 Lbs6 ft11.66618,966$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oskar LindblomKarson KuhlmanKurtis Gabriel40023
2Warren FoegeleDaniel AudetteVinni Lettieri30023
3Joel KivirantaAdam RuzickaKole Lind20122
4Braden TraceyBen MeyersCarson Meyer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenBen Betker40122
2Nelson NogierNiko Mikkola30122
3Nicolas BeaudinUrho Vaakanainen20122
4Noah JuulsenBen Betker10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oskar LindblomKarson KuhlmanKurtis Gabriel60122
2Warren FoegeleDaniel AudetteVinni Lettieri40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenBen Betker60122
2Nelson NogierNiko Mikkola40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Karson KuhlmanOskar Lindblom60122
2Daniel AudetteWarren Foegele40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenBen Betker60122
2Nelson NogierNiko Mikkola40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Karson Kuhlman60122Noah JuulsenBen Betker60122
2Daniel Audette40122Nelson NogierNiko Mikkola40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Karson KuhlmanOskar Lindblom60122
2Daniel AudetteWarren Foegele40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenBen Betker60122
2Nelson NogierNiko Mikkola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oskar LindblomKarson KuhlmanKurtis GabrielNoah JuulsenBen Betker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oskar LindblomKarson KuhlmanKurtis GabrielNoah JuulsenBen Betker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vinni Lettieri, Kole Lind, Carson MeyerVinni Lettieri, Kole LindVinni Lettieri
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Niko Mikkola, Nicolas Beaudin, Urho VaakanainenNiko MikkolaNiko Mikkola, Nicolas Beaudin
Tirs de pénalité
Oskar Lindblom, Karson Kuhlman, Kurtis Gabriel, Daniel Audette, Vinni Lettieri
Gardien
#1 : Antoine Bibeau, #2 : Cal Petersen
Lignes d’attaque personnalisées en prolongation
Oskar Lindblom, Karson Kuhlman, Kurtis Gabriel, Daniel Audette, Vinni Lettieri, Kole Lind, Carson Meyer, Warren Foegele, Joel Kiviranta, Adam Ruzicka
Lignes de défense personnalisées en prolongation
Noah Juulsen, Ben Betker, Nelson Nogier, Niko Mikkola, Nicolas Beaudin


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals20100100710-31010000024-21000010056-110.250713200086113117176684986387350692414376233.33%7357.14%0798172946.15%865184146.99%651130649.85%168493517427561439712
2Americans6320001029209302000101012-2330000001981180.66729507900861131171719684986387350198874614317423.53%24770.83%1798172946.15%865184146.99%651130649.85%168493517427561439712
3Barracuda20200000611-51010000036-31010000035-200.000611170086113117176984986387350522118428112.50%9188.89%0798172946.15%865184146.99%651130649.85%168493517427561439712
4Bears30300000813-52020000036-31010000057-200.0008132120861131171782849863873501113428535120.00%14285.71%0798172946.15%865184146.99%651130649.85%168493517427561439712
5Canucks6220100129281312000001316-3310010011612470.58329477600861131171720784986387350189607013433721.21%351168.57%0798172946.15%865184146.99%651130649.85%168493517427561439712
6Checkers320000011513221000001121111100000032150.8331528430086113117171008498638735010629225811327.27%11281.82%0798172946.15%865184146.99%651130649.85%168493517427561439712
7Comets30200100612-62010010038-51010000034-110.1676101600861131171710584986387350992620569111.11%10280.00%0798172946.15%865184146.99%651130649.85%168493517427561439712
8Condors31101000911-2110000003212010100069-340.667916250086113117179884986387350903428521200.00%14471.43%1798172946.15%865184146.99%651130649.85%168493517427561439712
9Crunch402011001318-51000010045-130201000913-430.3751321341086113117171378498638735015054307420315.00%15473.33%0798172946.15%865184146.99%651130649.85%168493517427561439712
10Eagles310001011415-1210001009901000000156-140.667142438008611311717104849863873501104018589111.11%9455.56%0798172946.15%865184146.99%651130649.85%168493517427561439712
11Firebirds321000001091110000003212110000077040.667101828008611311717108849863873501083028578225.00%14285.71%0798172946.15%865184146.99%651130649.85%168493517427561439712
12Griffins2020000048-41010000035-21010000013-200.0004610108611311717558498638735064221640600.00%8275.00%0798172946.15%865184146.99%651130649.85%168493517427561439712
13Gulls21000010853100000104311100000042241.000812200086113117176184986387350752714418112.50%70100.00%0798172946.15%865184146.99%651130649.85%168493517427561439712
14Icehogs22000000954110000004311100000052341.000916250086113117176684986387350672116448112.50%8187.50%0798172946.15%865184146.99%651130649.85%168493517427561439712
15Islander311000011112-11000000134-12110000088030.500111627008611311717104849863873509237326814321.43%16381.25%0798172946.15%865184146.99%651130649.85%168493517427561439712
16Little Stars641010003126532001000201553210000011110100.83331538410861131171719984986387350166786113531619.35%25292.00%0798172946.15%865184146.99%651130649.85%168493517427561439712
17Marlies2020000079-21010000045-11010000034-100.000714210086113117175084986387350782216278112.50%8275.00%0798172946.15%865184146.99%651130649.85%168493517427561439712
18Moose2110000014861010000035-211000000113820.5001424381086113117177184986387350762910316116.67%5340.00%0798172946.15%865184146.99%651130649.85%168493517427561439712
19Penguins32100000151051100000032121100000128440.66715264100861131171711584986387350108372864800.00%15380.00%2798172946.15%865184146.99%651130649.85%168493517427561439712
20Phantoms20200000711-41010000067-11010000014-300.00071219008611311717608498638735074161246300.00%6350.00%0798172946.15%865184146.99%651130649.85%168493517427561439712
21Rockets431000001910922000000143112110000057-260.7501931500086113117171338498638735011335288611327.27%14192.86%0798172946.15%865184146.99%651130649.85%168493517427561439712
22Senators20001100990100010005411000010045-130.75091625008611311717598498638735070302035100.00%10190.00%0798172946.15%865184146.99%651130649.85%168493517427561439712
23Thunderbirds712012102430-6402001101219-7310011001211180.57124406400861131171719884986387350238717016131722.58%35682.86%0798172946.15%865184146.99%651130649.85%168493517427561439712
24Wolfpack31101000141312100100011831010000035-240.6671421350086113117179284986387350892128685120.00%14192.86%0798172946.15%865184146.99%651130649.85%168493517427561439712
25Wranglers21000010972110000006511000001032141.00091322008611311717758498638735070178485240.00%40100.00%1798172946.15%865184146.99%651130649.85%168493517427561439712
Total80283007744327323440131503432163169-64015150431216415410890.556327551878608611311717261084986387350266290268116582835118.02%3377079.23%5798172946.15%865184146.99%651130649.85%168493517427561439712
_Since Last GM Reset80283007744327323440131503432163169-64015150431216415410890.556327551878608611311717261084986387350266290268116582835118.02%3377079.23%5798172946.15%865184146.99%651130649.85%168493517427561439712
_Vs Conference47161605514190199-924870241296105-923890310294940530.56419031750740861131171715518498638735015665174359861843519.02%2134280.28%2798172946.15%865184146.99%651130649.85%168493517427561439712
_Vs Division197503211848401034011104550-59410210139345250.6588414022410861131171760484986387350593209201430952021.05%951980.00%0798172946.15%865184146.99%651130649.85%168493517427561439712

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8089L232755187826102662902681165860
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8028307744327323
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4013153432163169
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4015154312164154
Derniers 10 matchs
WLOTWOTL SOWSOL
251110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2835118.02%3377079.23%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
849863873508611311717
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
798172946.15%865184146.99%651130649.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
168493517427561439712


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
28Thunderbirds6Punishers2LSommaire du match
626Punishers4Crunch3WXSommaire du match
940Americans5Punishers3LSommaire du match
1156Canucks5Punishers6WSommaire du match
1467Punishers4Thunderbirds3WSommaire du match
1673Punishers4Canucks3WXSommaire du match
1888Little Stars5Punishers7WSommaire du match
1992Punishers7Americans3WSommaire du match
22114Thunderbirds5Punishers2LSommaire du match
23116Punishers5Little Stars4WSommaire du match
27139Rockets2Punishers9WSommaire du match
30156Punishers5Islander2WSommaire du match
32167Checkers7Punishers6LXXSommaire du match
36187Punishers4Little Stars3WSommaire du match
38194Canucks6Punishers4LSommaire du match
42215Condors2Punishers3WSommaire du match
44223Punishers3Barracuda5LSommaire du match
46230Punishers3Thunderbirds4LXSommaire du match
49244Barracuda6Punishers3LSommaire du match
51258Punishers9Canucks5WSommaire du match
54272Bears2Punishers1LSommaire du match
57288Marlies5Punishers4LSommaire du match
61311Punishers3Wolfpack5LSommaire du match
63318Punishers1Phantoms4LSommaire du match
64325Gulls3Punishers4WXXSommaire du match
67343Checkers4Punishers6WSommaire du match
70355Punishers5Admirals6LXSommaire du match
72371Admirals4Punishers2LSommaire du match
77395Senators4Punishers5WXSommaire du match
79405Punishers4Senators5LXSommaire du match
81417Punishers5Eagles6LXXSommaire du match
82424Firebirds2Punishers3WSommaire du match
86442Punishers3Islander6LSommaire du match
87449Canucks5Punishers3LSommaire du match
92472Little Stars5Punishers6WXSommaire du match
94487Punishers5Thunderbirds4WXSommaire du match
96497Little Stars5Punishers7WSommaire du match
99505Punishers4Gulls2WSommaire du match
101516Punishers3Canucks4LXXSommaire du match
103524Punishers1Griffins3LSommaire du match
105532Comets5Punishers1LSommaire du match
108551Phantoms7Punishers6LSommaire du match
110563Punishers3Comets4LSommaire du match
112574Punishers5Bears7LSommaire du match
114583Eagles4Punishers3LXSommaire du match
118606Crunch5Punishers4LXSommaire du match
123629Comets3Punishers2LXSommaire du match
126645Punishers2Little Stars4LSommaire du match
127653Wranglers5Punishers6WSommaire du match
131677Icehogs3Punishers4WSommaire du match
134691Punishers5Icehogs2WSommaire du match
135702Griffins5Punishers3LSommaire du match
137714Punishers5Firebirds3WSommaire du match
140730Islander4Punishers3LXXSommaire du match
143747Punishers11Moose3WSommaire du match
144755Rockets1Punishers5WSommaire du match
147769Punishers3Penguins4LSommaire du match
149778Punishers2Firebirds4LSommaire du match
150785Wolfpack5Punishers7WSommaire du match
154808Eagles5Punishers6WSommaire du match
157822Punishers3Checkers2WSommaire du match
160834Bears4Punishers2LSommaire du match
162847Punishers3Marlies4LSommaire du match
164860Penguins2Punishers3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166867Punishers3Wranglers2WXXSommaire du match
170885Punishers7Americans3WSommaire du match
171889Wolfpack3Punishers4WXSommaire du match
174910Punishers5Americans2WSommaire du match
175915Moose5Punishers3LSommaire du match
179938Thunderbirds2Punishers3WXXSommaire du match
181949Punishers2Rockets5LSommaire du match
183961Punishers4Condors3WXSommaire du match
185967Thunderbirds6Punishers5LXSommaire du match
188981Punishers3Rockets2WSommaire du match
190991Americans4Punishers5WXXSommaire du match
191997Punishers4Crunch7LSommaire du match
1921002Punishers2Condors6LSommaire du match
1941016Punishers9Penguins4WSommaire du match
1981028Americans3Punishers2LSommaire du match
1991032Punishers1Crunch3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance75,11537,513
Assistance PCT93.89%93.78%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2816 - 93.86% 177,412$7,096,499$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,932,745$ 1,795,000$ 1,795,000$ 300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,886$ 1,632,775$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 10,371$ 0$




Punishers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Punishers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Punishers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Punishers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Punishers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA