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Wild Wings
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Keith Evans | Morale : 50 | Moyenne d’équipe : 70
Prochains matchs #11 vs Northmen

Northmen
0-0-0, 0pts
2026-06-14
Wild Wings
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Wild Wings
0-0-0, 0pts
2026-06-15
Swamp Puppies
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Wild Wings
0-0-0, 0pts
2026-06-18
Comets
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralKeith Evans
EntraîneurAlvi Makinen
DivisionNortheast
ConférenceEastern Conference
Capitaine
Assistant #1Jean-Rene Deeg
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite Contrat51 / 55
Espoirs3


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique196-158-45 (0.491%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)16 - 22 (0.421%)
Coupe Stanley0


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
1Yannick Berard96X100.0034419858999964997699425674359033507703011,310,000$
2Joel Quintal22X100.0098588089637289648565915975954957507602321,600,000$
3Lennox Henry40X100.0073596190769952808393515345827526507503051,750,000$
4Jonah Lakovic47X100.0099648665477476997876459976877131507502831,600,000$
5Nicolas Adcock49X100.0097585866697452858753739979793946507202651,899,999$
6Nicke Hautajoki43X100.0088438785718361946768545297408519507203241,400,000$
7Klemen Napotnik (R)25X100.0065587988849257867653932793463262507202451,500,000$
8Jean-Rene Deeg (A)21X100.003647645889606396987859723538622150710325890,000$
9Shayne Reinhart (R)22X100.008345547640739381886894404932276550710222800,000$
10Algot Liikkanen (R)91X100.0040555854827982836564945385433760507002411,500,000$
11Arttu-Petteri Malmikankare (R)74X100.003336917449995789497453305846877450650222845,000$
12Aldrich Ingram (R)6X100.006044688967786466753041966732656750650214717,000$
13Luca Almond89X100.0093367777977254852585667436498433507702921,700,000$
14Roland Deichmann44X100.0091416889778563682591527757655924507603011,200,000$
15Philip Salenius18X100.00616571789257797425804782787086750740345999,999$
16Brandt McAlister (R)0X100.0087686780777674597144738781856178507401831,000,000$
17Visa-Veikko Gripenberg (R)54X100.0064567682505974722581747157912948507102511,150,000$
18Forester Oglesby (R)72X100.0081565693595160562580408385493865506802331,999,999$
Rayé
1Felix Westberg79X100.003735805545536879758154646877816850640231720,000$
2Grayson Waldrep (R)90X100.005654876961567079774862656768405650640234750,000$
3Jaedon Crummy (R)15X100.0080515457458462665649638634884260506302351,100,000$
4Angus Nilsson95X100.002839735256475882513482534158525450560255800,000$
5Ben Moes88X100.0075517168908650992558667442634428507303011,399,500$
6Trace Micklem3X100.0081379571829455882545355595585443506802611,089,000$
7Yury Malitsky (R)86X100.006457565461718588254954854138676850670213800,000$
8Genadz Bubnow55X100.006642735746815094255161837235755550630243999,000$
9Sixten Lesch (R)7X100.007342815456605894254338758667657350610224720,000$
MOYENNE D’ÉQUIPE100.00685073716875668256646169666059495070
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
1Magnus Pimm34100.006594838396578154917387504726507803121,400,000$
2Ivan Peshekhonov (R)33100.008251508282739299746650783057507502531,999,999$
Rayé
1Keevin Fostvelt (R)35100.008465946858929450607386788361507402411,055,000$
2Shaun Dorais36100.00609755818580835481635174806750740221900,000$
MOYENNE D’ÉQUIPE100.0073777179807688647769697060535075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alvi Makinen90559473357970FIN392800,000$


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
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


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Aldrich IngramWild Wings (MIL)RW212007-03-04USAYes181 Lbs5 ft10NoNoFree AgentNoNo42026-05-31FalseFalsePro & Farm717,000$71,700$71,700$No717,000$717,000$717,000$------717,000$717,000$717,000$------NoNoNo------
Algot LiikkanenWild Wings (MIL)C242004-10-18FINYes197 Lbs6 ft1NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm1,500,000$150,000$150,000$No---------------------------
Angus NilssonWild Wings (MIL)RW252003-09-11CANNo197 Lbs6 ft2NoNoN/ANoNo52026-05-03FalseFalsePro & Farm800,000$80,000$80,000$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----
Arttu-Petteri MalmikankareWild Wings (MIL)LW222006-08-18FINYes216 Lbs6 ft8NoNoAssign ManuallyNoNo22025-10-26FalseFalsePro & Farm845,000$84,500$84,500$No845,000$--------845,000$--------No--------
Ben MoesWild Wings (MIL)D301998-01-23NEDNo170 Lbs5 ft10NoNoTrade2025-11-18NoNo1FalseFalsePro & Farm1,399,500$139,950$139,950$No---------------------------
Brandt McAlisterWild Wings (MIL)D182010-06-25USAYes187 Lbs6 ft1NoNoDraftNoNo32026-05-19FalseFalsePro & Farm1,000,000$100,000$100,000$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Felix WestbergWild Wings (MIL)LW232005-04-05SWENo211 Lbs5 ft11NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm720,000$72,000$72,000$No---------------------------
Forester OglesbyWild Wings (MIL)D232005-03-19USAYes182 Lbs5 ft11NoNoTrade2025-12-20NoNo32025-02-24FalseFalsePro & Farm1,999,999$200,000$200,000$No1,999,999$1,999,999$-------1,999,999$1,999,999$-------NoNo-------
Genadz BubnowWild Wings (MIL)D242004-08-16BLRNo220 Lbs6 ft2NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm999,000$99,900$99,900$No999,000$999,000$-------999,000$999,000$-------NoNo-------
Grayson WaldrepWild Wings (MIL)LW232005-09-07USAYes239 Lbs6 ft8NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm750,000$75,000$75,000$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------
Ivan PeshekhonovWild Wings (MIL)G252003-01-01RUSYes175 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-28FalseFalsePro & Farm1,999,999$200,000$200,000$No1,999,999$1,999,999$-------1,999,999$1,999,999$-------NoNo-------
Jaedon CrummyWild Wings (MIL)RW232005-04-11CANYes180 Lbs5 ft9NoNoFree AgentNoNo52026-05-03FalseFalsePro & Farm1,100,000$110,000$110,000$No1,100,000$1,100,000$1,100,000$1,100,000$-----1,100,000$1,100,000$1,100,000$1,100,000$-----NoNoNoNo-----
Jean-Rene DeegWild Wings (MIL)C321996-01-27CANNo186 Lbs5 ft11NoNoAssign ManuallyNoNo52026-05-02FalseFalsePro & Farm890,000$89,000$89,000$No890,000$890,000$890,000$890,000$-----890,000$890,000$890,000$890,000$-----NoNoNoNo-----
Joel QuintalWild Wings (MIL)RW232005-01-22CANNo190 Lbs5 ft7NoNoTrade2025-12-20NoNo22025-02-01FalseFalsePro & Farm1,600,000$160,000$160,000$No1,600,000$--------1,600,000$--------No--------
Jonah LakovicWild Wings (MIL)LW282000-02-20CANNo247 Lbs6 ft6NoNoN/ANoNo32026-05-03FalseFalsePro & Farm1,600,000$160,000$160,000$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------
Keevin FostveltWild Wings (MIL)G242004-02-14CANYes170 Lbs5 ft9NoNoFree AgentNoNo12025-12-16FalseFalsePro & Farm1,055,000$105,500$105,500$No---------------------------
Klemen NapotnikWild Wings (MIL)C242004-02-12SLOYes175 Lbs5 ft10NoNoTrade2025-09-26NoNo52026-05-03FalseFalsePro & Farm1,500,000$150,000$150,000$No1,500,000$1,500,000$1,500,000$1,500,000$-----1,500,000$1,500,000$1,500,000$1,500,000$-----NoNoNoNo-----
Lennox HenryWild Wings (MIL)RW301998-06-09CANNo206 Lbs6 ft7NoNoAssign Manually2025-05-15NoNo52026-05-02FalseFalsePro & Farm1,750,000$175,000$175,000$No1,750,000$1,750,000$1,750,000$1,750,000$-----1,750,000$1,750,000$1,750,000$1,750,000$-----NoNoNoNo-----
Luca AlmondWild Wings (MIL)D291999-05-12CANNo225 Lbs6 ft4NoNoTrade2026-05-16NoNo22025-09-28FalseFalsePro & Farm1,700,000$170,000$170,000$No1,700,000$--------1,700,000$--------No--------
Magnus PimmWild Wings (MIL)G311997-02-07CANNo217 Lbs6 ft2NoNoAssign Manually2025-10-22NoNo22026-05-02FalseFalsePro & Farm1,400,000$140,000$140,000$No1,400,000$--------1,400,000$--------No--------
Nicke HautajokiWild Wings (MIL)LW321996-01-20FINNo189 Lbs5 ft10NoNoTrade2025-06-25NoNo42026-05-03FalseFalsePro & Farm1,400,000$140,000$140,000$No1,400,000$1,400,000$1,400,000$------1,400,000$1,400,000$1,400,000$------NoNoNo------
Nicolas AdcockWild Wings (MIL)LW262002-01-23USANo248 Lbs6 ft7NoNoFree AgentNoNo52026-05-03FalseFalsePro & Farm1,899,999$190,000$190,000$No1,899,999$1,899,999$1,899,999$1,899,999$-----1,899,999$1,899,999$1,899,999$1,899,999$-----NoNoNoNo-----
Philip SaleniusWild Wings (MIL)D341994-06-28FINNo208 Lbs6 ft0NoNoAssign Manually2024-03-31NoNo52026-05-02FalseFalsePro & Farm999,999$100,000$100,000$No999,999$999,999$999,999$999,999$-----999,999$999,999$999,999$999,999$-----NoNoNoNo-----
Roland DeichmannWild Wings (MIL)D301998-08-21GERNo223 Lbs6 ft8NoNoAssign ManuallyNoNo12025-09-28FalseFalsePro & Farm1,200,000$120,000$120,000$No---------------------------
Shaun DoraisWild Wings (MIL)G222006-08-06CANNo181 Lbs6 ft3NoNoTrade2026-01-17NoNo12025-02-19FalseFalsePro & Farm900,000$90,000$90,000$No---------------------------
Shayne ReinhartWild Wings (MIL)C222006-12-03USAYes249 Lbs6 ft6NoNoProspectNoNo22025-10-05FalseFalsePro & Farm800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Sixten LeschWild Wings (MIL)D222006-01-06FINYes209 Lbs6 ft6NoNoAssign ManuallyNoNo42026-05-03FalseFalsePro & Farm720,000$72,000$72,000$No720,000$720,000$720,000$------720,000$720,000$720,000$------NoNoNo------
Trace MicklemWild Wings (MIL)D262002-12-15USANo202 Lbs6 ft0NoNoTrade2025-05-21NoNo1FalseFalsePro & Farm1,089,000$108,900$108,900$No---------------------------
Visa-Veikko GripenbergWild Wings (MIL)D252003-09-24FINYes186 Lbs5 ft11NoNoTrade2025-11-18NoNo1FalseFalsePro & Farm1,150,000$115,000$115,000$No---------------------------
Yannick BerardWild Wings (MIL)RW301998-10-28CANNo181 Lbs5 ft7NoNoAssign Manually2025-05-11NoNo12025-10-26FalseFalsePro & Farm1,310,000$131,000$131,000$No---------------------------
Yury MalitskyWild Wings (MIL)D212007-02-24RUSYes249 Lbs6 ft5NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$80,000$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.55203 Lbs6 ft12.841,212,726$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonah LakovicKlemen NapotnikYannick Berard25005
2Nicolas AdcockJean-Rene DeegJoel Quintal25005
3Nicke HautajokiShayne ReinhartLennox Henry25005
4Arttu-Petteri MalmikankareAlgot LiikkanenAldrich Ingram25005
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca AlmondRoland Deichmann33005
2Philip SaleniusBrandt McAlister33005
3Visa-Veikko GripenbergForester Oglesby33005
4Luca AlmondRoland Deichmann1005
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonah LakovicKlemen NapotnikYannick Berard50005
2Nicolas AdcockJean-Rene DeegJoel Quintal50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca AlmondRoland Deichmann50005
2Philip SaleniusBrandt McAlister50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Klemen NapotnikJonah Lakovic50050
2Jean-Rene DeegNicolas Adcock50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca AlmondRoland Deichmann50122
2Philip SaleniusBrandt McAlister50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Klemen Napotnik50122Luca AlmondRoland Deichmann50122
2Jean-Rene Deeg50122Philip SaleniusBrandt McAlister50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Klemen NapotnikJonah Lakovic50005
2Jean-Rene DeegNicolas Adcock50005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luca AlmondRoland Deichmann50005
2Philip SaleniusBrandt McAlister50005
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonah LakovicKlemen NapotnikYannick BerardLuca AlmondRoland Deichmann
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas AdcockJean-Rene DeegJoel QuintalPhilip SaleniusBrandt McAlister
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Adcock, Nicke Hautajoki, Klemen NapotnikNicolas Adcock, Nicke HautajokiNicolas Adcock
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandt McAlister, Visa-Veikko Gripenberg, Forester OglesbyBrandt McAlisterBrandt McAlister, Visa-Veikko Gripenberg
Tirs de pénalité
Yannick Berard, Joel Quintal, Lennox Henry, Jonah Lakovic, Nicolas Adcock
Gardien
#1 : Ivan Peshekhonov, #2 : Magnus Pimm
Lignes d’attaque personnalisées en prolongation
Yannick Berard, Joel Quintal, Lennox Henry, Jonah Lakovic, Nicolas Adcock, Nicke Hautajoki, Klemen Napotnik, Jean-Rene Deeg, Shayne Reinhart, Algot Liikkanen
Lignes de défense personnalisées en prolongation
Luca Almond, Roland Deichmann, Philip Salenius, Brandt McAlister, Visa-Veikko Gripenberg


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
TotalDomicile Visiteur
# 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 RI
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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 - 2026-06-1411Northmen-Wild Wings-
2 - 2026-06-1518Wild Wings-Swamp Puppies-
5 - 2026-06-1833Wild Wings-Comets-
6 - 2026-06-1942Wild Wings-Crusaders-
8 - 2026-06-2163Wild Wings-Schooners-
9 - 2026-06-2270Kings-Wild Wings-
12 - 2026-06-2590Drillers-Wild Wings-
13 - 2026-06-26102Jazz-Wild Wings-
15 - 2026-06-28116Wild Wings-Stingers-
17 - 2026-06-30127Wild Wings-Devils-
18 - 2026-07-01131Wild Wings-Auroras-
20 - 2026-07-03154Crusaders-Wild Wings-
22 - 2026-07-05164Wild Wings-Phantoms-
24 - 2026-07-07181Hydra-Wild Wings-
25 - 2026-07-08187Stingers-Wild Wings-
27 - 2026-07-10206Wild Wings-Stingers-
29 - 2026-07-12220Bulldogs-Wild Wings-
31 - 2026-07-14234Auroras-Wild Wings-
33 - 2026-07-16243Wild Wings-Hydra-
34 - 2026-07-17258Rampage-Wild Wings-
36 - 2026-07-19271Wolfpack-Wild Wings-
38 - 2026-07-21285Jazz-Wild Wings-
40 - 2026-07-23295Wild Wings-Jacks-
41 - 2026-07-24311Bulldogs-Wild Wings-
43 - 2026-07-26323Phantoms-Wild Wings-
44 - 2026-07-27331Rock-Wild Wings-
46 - 2026-07-29342Wild Wings-Northmen-
48 - 2026-07-31363Bulldogs-Wild Wings-
50 - 2026-08-02368Wild Wings-Drillers-
52 - 2026-08-04388Wild Wings-Jazz-
53 - 2026-08-05391Wild Wings-Comets-
55 - 2026-08-07411Wild Wings-Northmen-
57 - 2026-08-09428Wild Wings-Swamp Puppies-
59 - 2026-08-11442Wild Wings-Yeti-
61 - 2026-08-13455Hornets-Wild Wings-
62 - 2026-08-14467Rampage-Wild Wings-
64 - 2026-08-16473Wild Wings-Kings-
65 - 2026-08-17482Wild Wings-Bulldogs-
67 - 2026-08-19500Swamp Puppies-Wild Wings-
69 - 2026-08-21518Wild Wings-Stingers-
71 - 2026-08-23531Northmen-Wild Wings-
73 - 2026-08-25545Wild Wings-Outlaws-
75 - 2026-08-27555Wild Wings-Hornets-
76 - 2026-08-28568Wild Wings-Schooners-
78 - 2026-08-30582Wild Wings-Spartans-
80 - 2026-09-01597Wild Wings-Wolfpack-
81 - 2026-09-02599Wild Wings-Bulldogs-
83 - 2026-09-04623Jacks-Wild Wings-
85 - 2026-09-06634Wolverines-Wild Wings-
86 - 2026-09-07643Schooners-Wild Wings-
89 - 2026-09-10661Outlaws-Wild Wings-
90 - 2026-09-11673Swamp Puppies-Wild Wings-
92 - 2026-09-13687Yeti-Wild Wings-
94 - 2026-09-15698Wild Wings-Vipers-
95 - 2026-09-16707Spartans-Wild Wings-
97 - 2026-09-18723Stingers-Wild Wings-
99 - 2026-09-20732Wild Wings-Northmen-
100 - 2026-09-21744Stingers-Wild Wings-
102 - 2026-09-23754Wild Wings-Guppies-
104 - 2026-09-25774Spartans-Wild Wings-
107 - 2026-09-28793Bulldogs-Wild Wings-
109 - 2026-09-30807Devils-Wild Wings-
111 - 2026-10-02824Crusaders-Wild Wings-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
113 - 2026-10-04829Wild Wings-Crusaders-
114 - 2026-10-05844Guppies-Wild Wings-
116 - 2026-10-07857Northmen-Wild Wings-
118 - 2026-10-09872Wild Wings-Stingers-
120 - 2026-10-11877Wild Wings-Bulldogs-
121 - 2026-10-12894Vipers-Wild Wings-
124 - 2026-10-15909Wild Wings-Northmen-
125 - 2026-10-16912Wild Wings-Bulldogs-
127 - 2026-10-18926Wild Wings-Northmen-
130 - 2026-10-21948Wild Wings-Rock-
132 - 2026-10-23967Bulldogs-Wild Wings-
134 - 2026-10-25977Comets-Wild Wings-
136 - 2026-10-27990Stingers-Wild Wings-
141 - 2026-11-011017Wild Wings-Wolverines-
144 - 2026-11-041031Wild Wings-Rampage-
145 - 2026-11-051036Northmen-Wild Wings-
147 - 2026-11-071039Wild Wings-Stingers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
40 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,759,450$ 3,759,450$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,759,450$ 0$ 31 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 147 31,017$ 4,559,499$




Wild Wings 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
1Jonah Lakovic3667894172-1812981876673210.66%272547214.9518244241033516453.42%10.6303
2Lorenzo Porritt2577296168-532201483207229.97%66447017.3914253949000015554.29%00.75520
3River Mcquinston2769672168-26854822788310.87%66403914.631282031101317545.06%10.8304
4Terry Vasey1817276148-142631931153513.46%99299716.5614253946000713538.38%00.99411
5Nicke Hautajoki1365361114184221612546811.32%49222116.3356111510149445.00%21.0302

Wild Wings 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
1Jim Gloeckner1426046110.9202.69703741315392322657100.64025
2Ivan Peshekhonov894322110.9212.5146814119624691277830.51533
3Helgert Finke40191350.9172.71215120971175681220.77818
4Magnus Pimm2611930.9212.7414442066840461420.7504
5Valeryy Lyasyuk2610840.9192.5913672059732353120.71414

Wild Wings 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
Saison régulière
180174706523152229-77409230221377115-38408240431075114-39581522353876439465911168649057458950254481744316941323526.52%741678.38%1662120454.98%889162954.57%49696351.51%135361218717761609816
2803828054232111941740231202120111832840151603303100111-11972113415523457856211216765173975838238180946120071654929.70%1333375.19%4770148751.78%827161851.11%545100654.17%158884517327511523769
38038240375326422737401890245213111021402015013011331171610226442669060809779152868104492088151275091857517861614527.95%792173.42%0954180752.79%912171453.21%632116954.06%1678101018306931354659
480332605646242237540151503421120126-64018110222512211111962424046466077827411261589588578685273293956016941644326.22%991881.82%2864168051.43%825159251.82%584114251.14%159291218657221409691
580323306405257260-340161504203136127940161802202121133-1285257443700507783916261690888379840282295685816581594327.04%1483675.68%0849170649.77%896185248.38%640118953.83%158893919107151353642
Total Saison régulière40015815802526132011261147-2120081740131310957556114200778401213311551586-3543811261849297526833039336554119523988400138122641322944392897883978121527.53%53312476.74%74099788451.99%4349840551.74%2897546952.97%780143219209365972513578
Séries éliminatoires
294500000333215320000018171413000001515083354870010158033410212410173021043419010440.00%7528.57%08818048.89%9920249.01%8114954.36%1831102158516376
31257000003638-2624000001922-363300000171611036559120139131431159113141184831574723315213.33%7271.43%013125850.78%16629955.52%11119656.63%253150301106216107
4404000001023-1320200000312-920200000711-401017270044201285440340168597079200.00%10640.00%0327045.71%509453.19%406957.97%804693336634
513760000051429642000002819973400000232301451921430016201504441431501411047116416827418316.67%23386.96%014229947.49%14531546.03%10022444.64%254150321114217100
Total Séries éliminatoires38162200000130135-519910000006870-219712000006265-332130218348204348381133745842741735142448431977645920.00%471665.96%039380748.70%46091050.55%33263852.04%771458931339663318

Wild Wings 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
1Jonah Lakovic3811223381589969811.22%3766417.49202800010048.84%00.9900
2Gabryel Blacklock2113518206247018.57%633816.10000400003042.11%11.0600
3Jean-Rene Deeg20411150910403710.81%1337018.54033100030153.30%00.8100
4Philip Salenius22014142171647310%3542319.2500010000000%00.6600
5Abram Zhmudsky1331013312231329.38%119314.85112300000136.36%01.3500

Wild Wings 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
1Ivan Peshekhonov147430.9063.4376920444682360000
2Jim Gloeckner124220.9173.3158100323862040000
3Jari-Henri Hakkinen32100.8972.8416900878281000
4Aleksey Popleteyev21100.9093.0012000666290000
5Magnus Pimm51300.9093.242780015164910000