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Connexion

Manchots
GP: 31 | W: 18 | L: 11 | OTL: 2 | P: 38
GF: 131 | GA: 118 | PP%: 26.00% | PK%: 65.28%
DG: Raphael Belanger | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #524 vs Oil Kings

Centre de jeu
Sags
20-9-4, 44pts
9
FINAL
4 Manchots
18-11-2, 38pts
Team Stats
W1SéquenceL2
12-3-2Fiche domicile9-7-0
8-6-2Fiche domicile9-4-2
5-4-1Derniers 10 matchs3-6-1
4.42Buts par match 4.23
3.64Buts contre par match 3.81
28.21%Pourcentage en avantage numérique26.00%
63.89%Pourcentage en désavantage numérique65.28%
Roadrunners
15-16-3, 33pts
9
FINAL
3 Manchots
18-11-2, 38pts
Team Stats
W1SéquenceL2
8-6-0Fiche domicile9-7-0
7-10-3Fiche domicile9-4-2
5-3-2Derniers 10 matchs3-6-1
4.82Buts par match 4.23
5.44Buts contre par match 3.81
51.95%Pourcentage en avantage numérique26.00%
59.29%Pourcentage en désavantage numérique65.28%
Oil Kings
17-12-4, 38pts
2025-12-16
Manchots
18-11-2, 38pts
Statistiques d’équipe
W1SéquenceL2
7-5-2Fiche domicile9-7-0
10-7-2Fiche visiteur9-4-2
6-2-210 derniers matchs3-6-1
4.58Buts par match 4.23
3.55Buts contre par match 4.23
47.73%Pourcentage en avantage numérique26.00%
70.67%Pourcentage en désavantage numérique65.28%
Manchots
18-11-2, 38pts
2025-12-18
Senators
10-19-2, 22pts
Statistiques d’équipe
L2SéquenceSOL1
9-7-0Fiche domicile3-11-0
9-4-2Fiche visiteur7-8-2
3-6-110 derniers matchs3-6-1
4.23Buts par match 3.58
3.81Buts contre par match 3.58
26.00%Pourcentage en avantage numérique36.00%
65.28%Pourcentage en désavantage numérique57.14%
Manchots
18-11-2, 38pts
2025-12-20
Rocket
12-18-2, 26pts
Statistiques d’équipe
L2SéquenceL1
9-7-0Fiche domicile7-10-0
9-4-2Fiche visiteur5-8-2
3-6-110 derniers matchs3-6-1
4.23Buts par match 4.25
3.81Buts contre par match 4.25
26.00%Pourcentage en avantage numérique24.73%
65.28%Pourcentage en désavantage numérique52.54%
Meneurs d'équipe
Buts
Alex Turcotte
22
Passes
Alex Turcotte
30
Points
Alex Turcotte
52
Plus/Moins
Pierrick Dubé
10
Victoires
Nico Daws
16
Pourcentage d’arrêts
Nico Daws
0.853

Statistiques d’équipe
Buts pour
131
4.23 GFG
Tirs pour
909
29.32 Avg
Pourcentage en avantage numérique
26.0%
26 GF
Début de zone offensive
36.2%
Buts contre
118
3.81 GAA
Tirs contre
770
24.84 Avg
Pourcentage en désavantage numérique
65.3%%
25 GA
Début de la zone défensive
31.6%
Informations de l'équipe

Directeur généralRaphael Belanger
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,918
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 50
Espoirs12


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
1Alex Turcotte (R)XXX100.006540827575797471607066677162530506802321,250,000$
2Hendrix Lapierre (R)XX100.00634082767678726860696266696253050670221863,333$
3James Hamblin (R)XX100.00614175736269666566636066665750050630251875,000$
4Denis GurianovXX100.006241776773676664416056636364570506202711,200,000$
5Liam Ohgren (R)X100.00644074697273646440616162655550050620203886,667$
6Oliver Kapanen (R)X100.00564069687573596346615961635150050610213925,000$
7Pierrick Dubé (R)X100.00564466695665636544626156655250050600232625,000$
8Jake Wise (R)XXX100.0059417165626664624360575962525005059N0241650,000$
9Amadeus Lombardi (R)X100.00564173665963626260625855625050050590212838,333$
10Judd Caulfield (R)X100.00644368626865636243595660605250050590231620,000$
11Riley Bezeau (R)XXX100.00604664656362595640515156575150050560221635,000$
12Jarred TinordiX100.00705666637975756240585670608769050660322850,000$
13Ian Mitchell (R)X100.00584172726068656340635668646050050630252950,000$
14Artem Duda (R)X100.00634169676262616240615765625050050610203950,000$
15Corson Ceulemans (R)X100.00624270656660585940525363595050050590211925,000$
16Vincent Sevigny (R)X100.00594067666461595340515161575250050580231625,000$
17Seth Barton (R)X100.00544564636652495038434459545150050540251625,000$
Rayé
1Pavel Gogolev (R)X100.00454551555346444638424348485050050470241834,167$
2Patrick Moynihan (R)X100.00394293626845613550292939355454050440231560,000$
3Robert Orr (R)X100.00373737373737373737373737373737050380213620,000$
MOYENNE D’ÉQUIPE100.0058427065656361584556545959555105058
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
1Nico Daws (R)100.0074687173727173707273606051050650231800,000$
2Trent Miner (R)100.0073626463687072717168575150050620232650,000$
Rayé
1Michael Simpson (R)100.006358576361606158626055505005056N0212800,000$
2William Rousseau (R)100.0063575762616060586160545050050550213620,000$
MOYENNE D’ÉQUIPE100.006861626566656764676557535005060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Alex TurcotteManchots (Pit)C/LW/RW272230525954748126307517.46%2467425.00471113751013472057.51%7394025021.5402010621
2Hendrix LapierreManchots (Pit)C/RW292021410603634110367118.18%1061121.10681416820000512244.19%432916111.3402000250
3James HamblinManchots (Pit)C/LW2912172902610363578274115.38%1559220.4232512821011314064.58%481414000.9812011123
4Amadeus LombardiManchots (Pit)C29131629960433448112527.08%1044615.40000011121252054.59%196616001.3000000511
5Pierrick DubéManchots (Pit)RW29141428101410353272194719.44%746115.9300004000000056.07%1071718001.2100110230
6Oliver KapanenManchots (Pit)C2971421-5315654064174310.94%1661621.26336863000132145.97%2481422000.6800100032
7Jamie DrysdalePittsburghD143172010012295817225.17%1838327.423361346000025000%02116001.0400000000
8Liam OhgrenManchots (Pit)LW2971219-740533769233510.14%1550017.242575630110251058.82%172110000.7600000120
9Denis GurianovManchots (Pit)LW/RW2971017-400382262163311.29%946015.88257863000041052.63%19119000.7400000121
10Judd CaulfieldManchots (Pit)RW29761314034122991424.14%22899.9800002000001054.55%2269000.9000000003
11Jake WiseManchots (Pit)C/LW/RW2929119403121376285.41%139413.5900001000010066.67%1237000.5600000001
12Ian MitchellManchots (Pit)D29110112155162526853.85%1656819.59134254022034000%0726000.3900100001
13Artem DudaManchots (Pit)D2901111115526241612120%2456019.32033155011031000%0624000.3900001000
14Jarred TinordiManchots (Pit)D29279-227547543516165.71%3578226.97112891011149000%0839000.2300001001
15Vincent SevignyManchots (Pit)D291347155151394411.11%1539113.5000000000017010%0114000.2000001000
16Corson CeulemansManchots (Pit)D2902278013227710%1439213.530000400003000%0414000.1000000000
17Riley BezeauManchots (Pit)C/LW/RW29112440241211359.09%12307.9600000000010045.95%74111000.1700000000
Statistiques d’équipe totales ou en moyenne476119200319381885057149485726147713.89%232835717.5625406586694369735315454.43%1525209290130.7616334182014
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
1Nico DawsManchots (Pit)29161020.8533.68171301105712352200.8005290111
2Trent MinerManchots (Pit)20100.6676.15390041240100029001
Statistiques d’équipe totales ou en moyenne31161120.8493.731753011097243562152929112


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 Plafond 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
Alex TurcotteManchots (Pit)C/LW/RW232001-02-26USAYes185 Lbs5 ft11NoNoTrade2024-12-09NoNo22024-09-06FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien
Amadeus LombardiManchots (Pit)C212003-06-05CANYes172 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm838,333$0$0$No838,333$--------838,333$--------No--------Lien
Artem DudaManchots (Pit)D202004-04-08RUSYes187 Lbs6 ft1NoNoProspectNoNo32025-07-10FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Corson CeulemansManchots (Pit)D212003-05-05CANYes198 Lbs6 ft2NoNoTrade2024-12-09NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Denis GurianovManchots (Pit)LW/RW271997-06-07RUSNo200 Lbs6 ft3NoNoTrade2024-06-23YesYes1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Hendrix LapierreManchots (Pit)C/RW222002-02-09CANYes180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Lien
Ian MitchellManchots (Pit)D251999-01-18CANYes172 Lbs5 ft11NoNoFree AgentYesYes22024-09-06FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Jake WiseManchots (Pit)C/LW/RW242000-02-28USAYes190 Lbs5 ft11YesNoFree AgentNoYes12025-09-21FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
James HamblinManchots (Pit)C/LW251999-04-27CANYes174 Lbs5 ft9NoNoFree Agent2024-09-11YesYes12024-09-11FalseFalsePro & Farm875,000$0$0$No---------------------------Lien
Jarred Tinordi (contrat à 1 volet)Manchots (Pit)D321992-02-20USANo231 Lbs6 ft6NoNoFree AgentYesYes22024-09-28FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Judd CaulfieldManchots (Pit)RW232001-03-19USAYes207 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Liam OhgrenManchots (Pit)LW202004-01-28SWEYes187 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------Lien
Michael SimpsonManchots (Pit)G212003-02-09CANYes190 Lbs6 ft1YesNoFree AgentNoNo22025-09-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$620,000$-------No--------Lien
Nico DawsManchots (Pit)G232000-12-22CANYes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Oliver KapanenManchots (Pit)C212003-07-29SWEYes194 Lbs6 ft2NoNoTrade2025-08-24NoNo32025-07-10FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Patrick MoynihanManchots (Pit)C232001-01-23USAYes190 Lbs5 ft11NoNoTrade2024-06-23NoNo1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Pavel GogolevManchots (Pit)RW242000-02-19RUSYes197 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm834,167$0$0$No---------------------------Lien
Pierrick DubéManchots (Pit)RW232001-01-07FRAYes172 Lbs5 ft9NoNoFree AgentNoNo22024-09-06FalseFalsePro & Farm625,000$0$0$No625,000$--------625,000$--------No--------Lien
Riley Bezeau (contrat à 1 volet)Manchots (Pit)C/LW/RW222002-05-04CANYes187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm635,000$0$0$No---------------------------Lien
Robert OrrManchots (Pit)LW212003-09-01CANYes178 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Seth BartonManchots (Pit)D251999-08-18CANYes196 Lbs6 ft3NoNoFree AgentYesYes12024-09-06FalseFalsePro & Farm625,000$0$0$No---------------------------Lien
Trent MinerManchots (Pit)G232001-02-05CANYes185 Lbs6 ft1NoNoFree AgentNoNo22025-08-28FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Vincent SevignyManchots (Pit)D232001-04-14CANYes174 Lbs6 ft3NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm625,000$0$0$No---------------------------Lien
William RousseauManchots (Pit)G212003-01-09CANYes183 Lbs6 ft1NoNoDraftNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2423.04189 Lbs6 ft11.71799,063$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James HamblinAlex TurcotteHendrix Lapierre40122
2Liam OhgrenOliver KapanenDenis Gurianov30122
3Jake WiseAmadeus LombardiPierrick Dubé20122
4Alex TurcotteRiley BezeauJudd Caulfield10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred Tinordi40122
2Ian MitchellArtem Duda30122
3Corson CeulemansVincent Sevigny20122
4Jarred Tinordi10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James HamblinAlex TurcotteHendrix Lapierre60122
2Liam OhgrenOliver KapanenDenis Gurianov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred Tinordi60122
2Ian MitchellArtem Duda40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex TurcotteHendrix Lapierre60122
2James HamblinLiam Ohgren40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred Tinordi60122
2Ian MitchellArtem Duda40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Turcotte60122Jarred Tinordi60122
2Hendrix Lapierre40122Ian MitchellArtem Duda40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex TurcotteHendrix Lapierre60122
2James HamblinLiam Ohgren40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred Tinordi60122
2Ian MitchellArtem Duda40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James HamblinAlex TurcotteHendrix LapierreJarred Tinordi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James HamblinAlex TurcotteHendrix LapierreJarred Tinordi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pierrick Dubé, Judd Caulfield, Amadeus LombardiPierrick Dubé, Judd CaulfieldAmadeus Lombardi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Corson Ceulemans, Vincent Sevigny, Ian MitchellCorson CeulemansVincent Sevigny, Ian Mitchell
Tirs de pénalité
Alex Turcotte, Hendrix Lapierre, James Hamblin, Liam Ohgren, Denis Gurianov
Gardien
#1 : Nico Daws, #2 : Trent Miner


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
1Admirals20100100810-21010000056-11000010034-110.250813210018605037622335232713622212408225.00%6433.33%031658753.83%26951352.44%27952153.55%642340634280597309
2Bears11000000642110000006420000000000021.000691500186050338223352327132394243133.33%2150.00%031658753.83%26951352.44%27952153.55%642340634280597309
3Cabaret Lady Mary Ann11000000826000000000001100000082621.00081321001860503322233523271333913177114.29%4175.00%031658753.83%26951352.44%27952153.55%642340634280597309
4Chiefs11000000734110000007340000000000021.0007132000186050331223352327132192214125.00%10100.00%031658753.83%26951352.44%27952153.55%642340634280597309
5Comets11000000413110000004130000000000021.00048120018605032822335232713181682411100.00%4175.00%031658753.83%26951352.44%27952153.55%642340634280597309
6Crunch1010000034-11010000034-10000000000000.00034700186050325223352327132072194125.00%10100.00%031658753.83%26951352.44%27952153.55%642340634280597309
7Firebirds1010000016-51010000016-50000000000000.00012300186050326223352327133281613300.00%8537.50%031658753.83%26951352.44%27952153.55%642340634280597309
8Jayhawks2010100058-31010000015-41000100043120.5005813001860503542233523271341121135500.00%3166.67%031658753.83%26951352.44%27952153.55%642340634280597309
9Marlies22000000945110000006241100000032141.00091726001860503652233523271354129426350.00%20100.00%131658753.83%26951352.44%27952153.55%642340634280597309
10Minnesota21000010817100000102111100000060641.0008816011860503602233523271354236399333.33%30100.00%031658753.83%26951352.44%27952153.55%642340634280597309
11Monarchs220000001468110000006151100000085341.0001423370018605035122335232713571018379444.44%9188.89%031658753.83%26951352.44%27952153.55%642340634280597309
12Monsters22000000725110000003121100000041341.0007121900186050352223352327132581638800.00%3166.67%031658753.83%26951352.44%27952153.55%642340634280597309
13Oceanics11000000651000000000001100000065121.0006915001860503392233523271330101823200.00%40100.00%131658753.83%26951352.44%27952153.55%642340634280597309
14Phantoms20001001990000000000002000100199030.75091625001860503692233523271336196398112.50%2150.00%031658753.83%26951352.44%27952153.55%642340634280597309
15Roadrunners1010000039-61010000039-60000000000000.00035800186050322223352327134361813200.00%4325.00%031658753.83%26951352.44%27952153.55%642340634280597309
16Rocket11000000642110000006420000000000021.0006915001860503262233523271328102145360.00%10100.00%031658753.83%26951352.44%27952153.55%642340634280597309
17Sags20200000714-71010000049-51010000035-200.00071320101860503642233523271334149455240.00%220.00%131658753.83%26951352.44%27952153.55%642340634280597309
18Sound Tigers11000000642110000006420000000000021.000612180018605032722335232713322141711100.00%2150.00%131658753.83%26951352.44%27952153.55%642340634280597309
19Spiders1010000014-3000000000001010000014-300.00012300186050328223352327133294373133.33%20100.00%031658753.83%26951352.44%27952153.55%642340634280597309
20Stars1010000046-2000000000001010000046-200.000471100186050329223352327133012219200.00%110.00%031658753.83%26951352.44%27952153.55%642340634280597309
21Thunder1010000035-2000000000001010000035-200.000358001860503222233523271328116152150.00%30100.00%031658753.83%26951352.44%27952153.55%642340634280597309
22Wolf Pack2110000067-11010000024-21100000043120.5006111700186050345223352327133771032300.00%5260.00%031658753.83%26951352.44%27952153.55%642340634280597309
Total311511021111311181316870001065641157402101665412380.613131219350111860503909223352327137702641966031002626.00%722565.28%431658753.83%26951352.44%27952153.55%642340634280597309
_Since Last GM Reset311511021111311181316870001065641157402101665412380.613131219350111860503909223352327137702641966031002626.00%722565.28%431658753.83%26951352.44%27952153.55%642340634280597309
_Vs Conference201070110185832954000004140111530110144431240.6008514723210186050359822335232713493158134402601626.67%461665.22%431658753.83%26951352.44%27952153.55%642340634280597309

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3138L213121935090977026419660311
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3115112111131118
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
168700106564
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
157421016654
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1002626.00%722565.28%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
223352327131860503
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
31658753.83%26951352.44%27952153.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
642340634280597309


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
1 - 2025-10-072Manchots4Wolf Pack3WSommaire du match
3 - 2025-10-0913Sound Tigers4Manchots6WSommaire du match
5 - 2025-10-1129Wolf Pack4Manchots2LSommaire du match
8 - 2025-10-1456Manchots3Admirals4LXSommaire du match
10 - 2025-10-1671Manchots8Monarchs5WSommaire du match
12 - 2025-10-1888Manchots3Sags5LSommaire du match
15 - 2025-10-21101Comets1Manchots4WSommaire du match
17 - 2025-10-23114Manchots8Cabaret Lady Mary Ann2WSommaire du match
19 - 2025-10-25134Monsters1Manchots3WSommaire du match
21 - 2025-10-27148Chiefs3Manchots7WSommaire du match
22 - 2025-10-28150Manchots6Phantoms5WXSommaire du match
24 - 2025-10-30173Manchots6Minnesota0WSommaire du match
26 - 2025-11-01182Manchots6Oceanics5WSommaire du match
28 - 2025-11-03199Manchots3Marlies2WSommaire du match
31 - 2025-11-06221Bears4Manchots6WSommaire du match
33 - 2025-11-08231Manchots1Spiders4LSommaire du match
34 - 2025-11-09245Monarchs1Manchots6WSommaire du match
39 - 2025-11-14279Manchots4Jayhawks3WXSommaire du match
41 - 2025-11-16296Jayhawks5Manchots1LSommaire du match
46 - 2025-11-21332Minnesota1Manchots2WXXSommaire du match
47 - 2025-11-22340Firebirds6Manchots1LSommaire du match
51 - 2025-11-26366Crunch4Manchots3LSommaire du match
53 - 2025-11-28388Manchots4Monsters1WSommaire du match
54 - 2025-11-29396Marlies2Manchots6WSommaire du match
56 - 2025-12-01407Manchots3Phantoms4LXXSommaire du match
59 - 2025-12-04428Manchots3Thunder5LSommaire du match
62 - 2025-12-07456Manchots4Stars6LSommaire du match
64 - 2025-12-09470Admirals6Manchots5LSommaire du match
66 - 2025-12-11484Rocket4Manchots6WSommaire du match
68 - 2025-12-13497Sags9Manchots4LSommaire du match
69 - 2025-12-14509Roadrunners9Manchots3LSommaire du match
71 - 2025-12-16524Oil Kings-Manchots-
73 - 2025-12-18537Manchots-Senators-
75 - 2025-12-20556Manchots-Rocket-
76 - 2025-12-21566Rocket-Manchots-
78 - 2025-12-23575Manchots-Marlies-
83 - 2025-12-28604Manchots-Baby Hawks-
85 - 2025-12-30619Caroline-Manchots-
87 - 2026-01-01635Cougars-Manchots-
89 - 2026-01-03644Manchots-Cougars-
90 - 2026-01-04658Manchots-Monsters-
94 - 2026-01-08687Spiders-Manchots-
96 - 2026-01-10698Heat-Manchots-
97 - 2026-01-11712Manchots-Bruins-
99 - 2026-01-13726Thunder-Manchots-
101 - 2026-01-15741Phantoms-Manchots-
103 - 2026-01-17760Monsters-Manchots-
105 - 2026-01-19772Manchots-Firebirds-
107 - 2026-01-21791Manchots-Heat-
108 - 2026-01-22800Manchots-Oil Kings-
111 - 2026-01-25822Manchots-Comets-
115 - 2026-01-29850Baby Hawks-Manchots-
117 - 2026-01-31861Wolf Pack-Manchots-
119 - 2026-02-02877Senators-Manchots-
120 - 2026-02-03888Manchots-Sound Tigers-
122 - 2026-02-05903Manchots-Crunch-
143 - 2026-02-26922Spiders-Manchots-
145 - 2026-02-28934Manchots-Wolf Pack-
146 - 2026-03-01947Las Vegas-Manchots-
148 - 2026-03-03959Manchots-Bruins-
150 - 2026-03-05977Crunch-Manchots-
152 - 2026-03-07993Phantoms-Manchots-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-03-081002Bruins-Manchots-
155 - 2026-03-101018Manchots-Caroline-
157 - 2026-03-121039Manchots-Las Vegas-
159 - 2026-03-141054Manchots-Roadrunners-
161 - 2026-03-161067Manchots-Monsters-
163 - 2026-03-181078Manchots-Caroline-
166 - 2026-03-211099Oceanics-Manchots-
167 - 2026-03-221112Caroline-Manchots-
169 - 2026-03-241126Monsters-Manchots-
171 - 2026-03-261138Manchots-Senators-
173 - 2026-03-281156Stars-Manchots-
175 - 2026-03-301173Manchots-Sound Tigers-
176 - 2026-03-311183Cougars-Manchots-
178 - 2026-04-021192Manchots-Thunder-
180 - 2026-04-041211Cabaret Lady Mary Ann-Manchots-
181 - 2026-04-051223Cabaret Lady Mary Ann-Manchots-
185 - 2026-04-091251Manchots-Spiders-
187 - 2026-04-111263Bears-Manchots-
188 - 2026-04-121276Manchots-Bears-
190 - 2026-04-141299Manchots-Chiefs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité17501250
Prix des billets5020
Assistance17,37413,310
Assistance PCT62.05%66.55%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-12 1918 - 63.93% 85,118$1,361,880$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
651,525$ 1,769,250$ 1,769,250$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,167$ 651,525$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,127,938$ 124 9,167$ 1,136,708$




Manchots 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

Manchots 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

Manchots 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

Manchots 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

Manchots 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