Connexion

Wolf Pack
GP: 82 | W: 44 | L: 31 | OTL: 7 | P: 95
GF: 217 | GA: 180 | PP%: 15.36% | PK%: 86.27%
DG: Jonathan Laroche | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Sound Tigers
46-29-7, 99pts
1
FINAL
4 Wolf Pack
44-31-7, 95pts
Team Stats
L1SéquenceW2
25-12-4Fiche domicile23-15-3
21-17-3Fiche domicile21-16-4
6-4-0Derniers 10 matchs6-3-1
2.33Buts par match 2.65
2.04Buts contre par match 2.20
16.87%Pourcentage en avantage numérique15.36%
85.26%Pourcentage en désavantage numérique86.27%
Senators
46-32-4, 96pts
1
FINAL
4 Wolf Pack
44-31-7, 95pts
Team Stats
W1SéquenceW2
21-16-4Fiche domicile23-15-3
25-16-0Fiche domicile21-16-4
7-3-0Derniers 10 matchs6-3-1
2.30Buts par match 2.65
2.12Buts contre par match 2.20
18.67%Pourcentage en avantage numérique15.36%
87.46%Pourcentage en désavantage numérique86.27%
Meneurs d'équipe
Buts
Dylan Holloway
35
Passes
Cedric Paquette
34
Points
Dylan Holloway
61
Plus/Moins
Jacob Perreault
16
Victoires
Braden Holtby
44
Pourcentage d’arrêts
Braden Holtby
0.89

Statistiques d’équipe
Buts pour
217
2.65 GFG
Tirs pour
1914
23.34 Avg
Pourcentage en avantage numérique
15.4%
41 GF
Début de zone offensive
41.5%
Buts contre
180
2.20 GAA
Tirs contre
1592
19.41 Avg
Pourcentage en désavantage numérique
86.3%%
32 GA
Début de la zone défensive
37.3%
Informations de l'équipe

Directeur généralJonathan Laroche
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,233
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 50
Espoirs23


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 moyen
1Nils HoglanderXX100.00684380777783727240676565715952050680211891,667$
2Cedric PaquetteXX100.008470708074496357515351795171760506502911,200,000$
3Vinni LettieriXX100.006143717165716967596463636762540506402711,420,370$
4Dylan Holloway (R)XX100.00735568717972656747646062665250050640213925,000$
5Frederik GauthierXX100.008047976988546050744651762464640506202721,200,000$
6Marco Rossi (R)X100.00614663726161596561655963655050050620213863,333$
7Valtteri PuustinenX100.00544473706066666644646253665250050610233842,500$
8Vasili Ponomarev (R)X100.00574564706259586259595954645050050590203813,333$
9Tyce Thompson (R)X100.00565164676162616141595353605150050580232915,000$
10Jacob Perreault (R)X100.00584764646460596141585551605050050570201925,000$
11Cale FleuryX100.00674771717978676640625967656154050660231780,000$
12Ty Emberson (R)X100.00624770686563636340595564625150050610222853,333$
13Kai Wissmann (R)X100.00634069636662625940565466595350050610253825,000$
14William Villeneuve (R)X100.00624066696160606140625666625050050610203817,778$
15Bode WildeX100.00768096587350464927354567434444050570221778,333$
Rayé
1Artem AnisimovX100.005640716262696962536160576270610506103441,750,000$
2Georgii Merkulov (R)X100.00604466706261606243615959645050050600213925,000$
3Pavel Dorofeyev (R)X100.00584466705961596256575756635050050590211925,000$
4Bokondji ImamaX100.00636852597066655941545257565450050570262800,000$
5Ville Koivunen (R)X100.00564068665754535647535454595050050550193828,333$
MOYENNE D’ÉQUIPE100.0064497068676362614758566259555305061
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 moyen
1Braden Holtby100.00717271747171697171716987770506603324,875,000$
2Jet Greaves (R)100.0071616361666972697067615050050620211600,000$
3Evan Cormier (R)100.0066575467626263616361525350050570241600,000$
Rayé
1Joel Blomqvist (R)100.0059575764585554535458535050050530203825,000$
2David Hrenak (R)100.0042394875434244464242424440050440242820,000$
MOYENNE D’ÉQUIPE100.006257596860606060606055575305056
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
1Dylan HollowayWolf Pack (Ran)C/LW81352661139151682252456818214.29%17154419.07224141110001608553.23%123800020.79021001155
2Vinnie HinostrozaRangersLW/RW72253459840221302065713712.14%14151120.9977142914800072124057.78%9000000.7829000449
3Cedric PaquetteWolf Pack (Ran)C/LW812434581089152352541794815113.41%36162720.0968142015200031566053.15%179100000.7105012544
4Jacob PerreaultWolf Pack (Ran)RW811629451624068124166461219.64%6134916.6600001000003054.29%7000000.6700000245
5Vasili PonomarevWolf Pack (Ran)C81182240102407817818948989.52%16117914.56000280000103155.20%106700000.6801000425
6Vinni LettieriWolf Pack (Ran)C/RW81142236-2953878121299511.57%167629.421018288234201112053055.61%62400000.9414010253
7Ty EmbersonWolf Pack (Ran)D8153136-7300987743122811.63%54136816.90210121589000174100%000000.5301000221
8Nils HoglanderWolf Pack (Ran)LW/RW6117143128033761413610412.06%795015.591123140000224144.44%6300000.6536000251
9Tyce ThompsonWolf Pack (Ran)RW8115163110220801141344110411.19%11127015.6800002000003043.24%7400000.4900000341
10William VilleneuveWolf Pack (Ran)D816212795601416733113118.18%55105613.04202520000053110%000000.5101000125
11Kai WissmannWolf Pack (Ran)D8121618-756011959429314.76%39137316.962461389000078100%000000.2600000102
12Cale FleuryWolf Pack (Ran)D38510154280974448103610.42%3589323.5113423105000187110%000000.3400000031
13MacKenzie EntwistleRangersC/LW1555102100263235152714.29%631721.161233390001290246.15%1300010.6312000200
14Samuel BolducRangersD14224110024591422.22%731322.40000233000036010%000000.2600000001
15Georgii MerkulovWolf Pack (Ran)LW33314-16022132732611.11%236210.99000000000250047.37%1900000.2200000010
16Artem AnisimovWolf Pack (Ran)C32123-260147135147.69%02688.40000090000110050.00%2000000.2200000000
17Marco RossiWolf Pack (Ran)C81213020720228179.09%21521.8800000000001052.50%12000000.3901000010
18Pavel DorofeyevWolf Pack (Ran)C180110401298190%01528.46000000001170054.40%12500000.1300000000
Statistiques d’équipe totales ou en moyenne10931952874826647925128215121661448121511.74%3231645415.053455892111169011161082391253.69%531400030.59732122394243
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
1Braden HoltbyWolf Pack (Ran)81443070.8902.0947272716514960400.69239810434
Statistiques d’équipe totales ou en moyenne81443070.8902.09472727165149604039810434


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Artem Anisimov (contrat à 1 volet)Wolf Pack (Ran)C341988-05-24No198 Lbs6 ft4NoNoYesYes4Pro & Farm1,750,000$9,115$850,000$4,427$No1,750,000$1,750,000$1,750,000$Lien
Bode WildeWolf Pack (Ran)D222000-01-24No192 Lbs6 ft3NoNoNoNo1Pro & Farm778,333$4,054$0$0$NoLien
Bokondji ImamaWolf Pack (Ran)LW261996-08-03No220 Lbs6 ft1NoNoYesYes2Pro & Farm800,000$4,167$0$0$No800,000$Lien
Braden Holtby (contrat à 1 volet)Wolf Pack (Ran)G331989-09-16No214 Lbs6 ft2NoNoYesYes2Pro & Farm4,875,000$25,391$3,975,000$20,703$No4,875,000$Lien
Cale FleuryWolf Pack (Ran)D231998-11-19No204 Lbs6 ft1NoNoNoNo1Pro & Farm780,000$4,062$0$0$NoLien
Cedric Paquette (contrat à 1 volet)Wolf Pack (Ran)C/LW291993-08-12No204 Lbs6 ft0NoNoYesYes1Pro & Farm1,200,000$6,250$300,000$1,562$NoLien
David HrenakWolf Pack (Ran)G241998-05-05Yes190 Lbs6 ft2NoNoYesYes2Pro & Farm820,000$4,271$0$0$No820,000$Lien
Dylan HollowayWolf Pack (Ran)C/LW212001-09-23Yes203 Lbs6 ft1NoNoNoNo3Pro & Farm925,000$4,818$0$0$No925,000$925,000$Lien
Evan CormierWolf Pack (Ran)G241997-11-06Yes201 Lbs6 ft3NoNoYesYes1Pro & Farm600,000$3,125$0$0$NoLien
Frederik Gauthier (contrat à 1 volet)Wolf Pack (Ran)C/RW271995-04-26No239 Lbs6 ft5NoNoYesYes2Pro & Farm1,200,000$6,250$300,000$1,562$No1,200,000$Lien
Georgii MerkulovWolf Pack (Ran)LW212000-10-10Yes181 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$4,818$0$0$No925,000$925,000$
Jacob PerreaultWolf Pack (Ran)RW202002-04-15Yes192 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$4,818$0$0$NoLien
Jet GreavesWolf Pack (Ran)G212001-03-30Yes179 Lbs6 ft0NoNoNoNo1Pro & Farm600,000$3,125$0$0$NoLien
Joel BlomqvistWolf Pack (Ran)G202002-01-10Yes183 Lbs6 ft2NoNoNoNo3Pro & Farm825,000$4,297$0$0$No825,000$825,000$Lien
Kai WissmannWolf Pack (Ran)D251996-10-22Yes207 Lbs6 ft4NoNoYesYes3Pro & Farm825,000$4,297$0$0$No825,000$825,000$
Marco RossiWolf Pack (Ran)C212001-09-23Yes183 Lbs5 ft9NoNoNoNo3Pro & Farm863,333$4,497$0$0$No863,333$863,333$Lien
Nils HoglanderWolf Pack (Ran)LW/RW212000-12-20No185 Lbs5 ft9NoNoNoNo1Pro & Farm891,667$4,644$0$0$NoLien
Pavel DorofeyevWolf Pack (Ran)C212000-10-26Yes168 Lbs6 ft1NoNoNoNo1Pro & Farm925,000$4,818$0$0$NoLien
Ty EmbersonWolf Pack (Ran)D222000-05-24Yes194 Lbs6 ft1NoNoNoNo2Pro & Farm853,333$4,444$0$0$No853,333$Lien
Tyce ThompsonWolf Pack (Ran)RW231999-07-12Yes174 Lbs6 ft1NoNoNoNo2Pro & Farm915,000$4,766$0$0$No915,000$Lien
Valtteri PuustinenWolf Pack (Ran)LW231999-06-04No183 Lbs5 ft9NoNoNoNo3Pro & Farm842,500$4,388$0$0$No842,500$842,500$Lien
Vasili PonomarevWolf Pack (Ran)C202002-03-13Yes181 Lbs5 ft10NoNoNoNo3Pro & Farm813,333$4,236$0$0$No813,333$813,333$Lien
Ville KoivunenWolf Pack (Ran)RW192003-06-13Yes161 Lbs5 ft11NoNoNoNo3Pro & Farm828,333$4,314$0$0$No828,333$828,333$
Vinni Lettieri (contrat à 1 volet)Wolf Pack (Ran)C/RW271995-02-06No185 Lbs5 ft11NoNoYesYes1Pro & Farm1,255,555$7,398$520,370$2,710$NoLien
William VilleneuveWolf Pack (Ran)D202002-03-20Yes174 Lbs6 ft1NoNoNoNo3Pro & Farm817,778$4,259$0$0$No817,778$817,778$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.48192 Lbs6 ft12.081,073,367$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cedric Paquette40122
2Dylan HollowayJacob Perreault30122
3Tyce ThompsonVasili Ponomarev20122
4Cedric PaquetteMarco RossiTyce Thompson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Ty EmbersonKai Wissmann30122
3William Villeneuve20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cedric PaquetteVinni Lettieri60122
2Vinni Lettieri40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ty EmbersonKai Wissmann40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cedric Paquette60122
2Vinni Lettieri40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ty EmbersonKai Wissmann40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cedric Paquette6012260122
2Vinni Lettieri40122Ty EmbersonKai Wissmann40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cedric Paquette60122
2Vinni Lettieri40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Ty EmbersonKai Wissmann40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cedric PaquetteVinni Lettieri
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cedric PaquetteVinni Lettieri
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vinni Lettieri, Dylan Holloway, Vinni Lettieri, Dylan HollowayVinni Lettieri
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kai Wissmann, William Villeneuve, Kai WissmannKai Wissmann, William Villeneuve
Tirs de pénalité
, , , Cedric Paquette, Vinni Lettieri
Gardien
#1 : Braden Holtby, #2 :


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
1Admirals211000005411010000023-11100000031220.50058130091675311526516206236136128189333.33%40100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
2Baby Hawks22000000624110000004131100000021141.0006101600916753113665162062361411710327114.29%50100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
3Bears4220000056-1211000002202110000034-140.5005813009167531176651620623615610245713215.38%12191.67%01213224054.15%1062201652.68%581114250.88%207215181936567967472
4Bruins312000004401010000001-12110000043120.333471100916753116065162062361531322581119.09%10190.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
5Cabaret Lady Mary Ann31100010871211000005501000001032140.6678132100916753118065162062361551427518337.50%10370.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
6Caroline30200001610-42020000036-31000000134-110.16761016009167531163651620623614410164918316.67%8275.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
7Chiefs20001100550100010003211000010023-130.7505712009167531142651620623613013848900.00%4175.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
8Chill211000004221010000002-21100000040420.5004711019167531145651620623613471225500.00%6266.67%01213224054.15%1062201652.68%581114250.88%207215181936567967472
9Comets21100000330110000001011010000023-120.5003690191675311436516206236134514494125.00%70100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
10Cougars311000101165201000105501100000061540.6671117280091675311636516206236164146401516.67%2150.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
11Crunch30200010710-32010001056-11010000024-220.3337111800916753118765162062361672314708337.50%60100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
12Heat22000000862110000004311100000043141.0008142200916753116465162062361441316379222.22%7185.71%01213224054.15%1062201652.68%581114250.88%207215181936567967472
13Jayhawks211000006511010000023-11100000042220.500612180091675311726516206236144191055000%50100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
14Las Vegas21100000642110000003031010000034-120.5006111701916753114965162062361361924383133.33%11281.82%01213224054.15%1062201652.68%581114250.88%207215181936567967472
15Manchots33000000725110000002112200000051461.0007111801916753117865162062361521918461200.00%9188.89%01213224054.15%1062201652.68%581114250.88%207215181936567967472
16Marlies3120000067-11010000002-22110000065120.3336111700916753115665162062361651714645240.00%70100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
17Minnesota21100000835110000008171010000002-220.500814220091675311436516206236134610358112.50%50100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
18Monarchs21001000945110000004041000100054141.000914230191675311626516206236140610417114.29%40100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
19Monsters430000011248210000013122200000093670.875122234019167531174651620623617622346616318.75%14192.86%01213224054.15%1062201652.68%581114250.88%207215181936567967472
20Monsters2020000037-41010000013-21010000024-200.0003580091675311496516206236145712321218.33%6183.33%01213224054.15%1062201652.68%581114250.88%207215181936567967472
21Oceanics20200000211-91010000007-71010000024-200.0002460091675311376516206236163182640500.00%12375.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
22Oil Kings22000000826110000005141100000031241.0008142200916753114865162062361351518374125.00%7185.71%01213224054.15%1062201652.68%581114250.88%207215181936567967472
23Phantoms41100011810-22110000046-22000001144050.6258111900916753118365162062361922830629222.22%15380.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
24Rocket330000001147220000007341100000041361.00011162700916753118265162062361447126313323.08%50100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
25Sags21100000431110000003121010000012-120.50047110091675311356516206236130510287228.57%50100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
26Seattle21100000651110000004221010000023-120.50061016009167531147651620623613610824600.00%40100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
27Senators31200000651110000004132020000024-220.333681400916753115865162062361601617586116.67%6266.67%01213224054.15%1062201652.68%581114250.88%207215181936567967472
28Sound Tigers4220000012111220000009272020000039-640.50012193100916753119765162062361823320781900.00%10370.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
29Spiders401000031115-42000000268-22010000157-230.375111526009167531110265162062361952251827114.29%16381.25%11213224054.15%1062201652.68%581114250.88%207215181936567967472
30Stars211000004401010000012-11100000032120.5004711009167531137651620623614261535600.00%50100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
31Thunder3300000016971100000054122000000115661.00016284400916753119465162062361631727556233.33%60100.00%01213224054.15%1062201652.68%581114250.88%207215181936567967472
Total8238310214621718037412015010231058421411816011231129616950.5792173575740691675311191465162062361159244354314732674115.36%2333286.27%11213224054.15%1062201652.68%581114250.88%207215181936567967472
_Since Last GM Reset8238310214621718037412015010231058421411816011231129616950.5792173575740691675311191465162062361159244354314732674115.36%2333286.27%11213224054.15%1062201652.68%581114250.88%207215181936567967472
_Vs Conference45211701015111971420107000034441325111001012675611510.56711118029104916753111009651620623618972453237781372014.60%1362085.29%11213224054.15%1062201652.68%581114250.88%207215181936567967472
_Vs Division266400015615831341000032926313230001232320190.3656196157029167531157365162062361497144193440941111.70%841483.33%11213224054.15%1062201652.68%581114250.88%207215181936567967472

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8295W221735757419141592443543147306
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8238312146217180
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412015102310584
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
411816112311296
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2674115.36%2333286.27%1
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
6516206236191675311
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
1213224054.15%1062201652.68%581114250.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
207215181936567967472


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
3 - 2023-10-1210Wolf Pack2Crunch4ALSommaire du match
5 - 2023-10-1422Wolf Pack3Monsters2AWSommaire du match
7 - 2023-10-1637Jayhawks3Wolf Pack2BLSommaire du match
10 - 2023-10-1953Chill2Wolf Pack0BLSommaire du match
12 - 2023-10-2177Wolf Pack2Seattle3ALSommaire du match
15 - 2023-10-2496Wolf Pack4Heat3AWSommaire du match
17 - 2023-10-26110Wolf Pack3Oil Kings1AWSommaire du match
19 - 2023-10-28124Wolf Pack2Comets3ALSommaire du match
21 - 2023-10-30134Wolf Pack2Oceanics4ALSommaire du match
24 - 2023-11-02148Caroline3Wolf Pack2BLSommaire du match
26 - 2023-11-04169Wolf Pack0Minnesota2ALSommaire du match
29 - 2023-11-07183Cougars3Wolf Pack2BLSommaire du match
31 - 2023-11-09196Minnesota1Wolf Pack8BWSommaire du match
34 - 2023-11-12225Monsters1Wolf Pack0BLXXSommaire du match
40 - 2023-11-18262Wolf Pack2Spiders3ALXXSommaire du match
42 - 2023-11-20274Wolf Pack3Stars2AWSommaire du match
44 - 2023-11-22283Wolf Pack2Manchots0AWSommaire du match
46 - 2023-11-24294Wolf Pack2Phantoms1AWXXSommaire du match
47 - 2023-11-25308Bruins1Wolf Pack0BLSommaire du match
49 - 2023-11-27322Crunch4Wolf Pack2BLSommaire du match
51 - 2023-11-29338Cougars2Wolf Pack3BWXXSommaire du match
54 - 2023-12-02358Wolf Pack4Chill0AWSommaire du match
55 - 2023-12-03370Sags1Wolf Pack3BWSommaire du match
57 - 2023-12-05382Wolf Pack1Senators2ALSommaire du match
61 - 2023-12-09414Wolf Pack0Bears2ALSommaire du match
62 - 2023-12-10424Monarchs0Wolf Pack4BWSommaire du match
64 - 2023-12-12432Marlies2Wolf Pack0BLSommaire du match
67 - 2023-12-15456Admirals3Wolf Pack2BLSommaire du match
68 - 2023-12-16463Wolf Pack1Bruins2ALSommaire du match
71 - 2023-12-19489Wolf Pack3Marlies4ALSommaire du match
74 - 2023-12-22511Oil Kings1Wolf Pack5BWSommaire du match
75 - 2023-12-23522Crunch2Wolf Pack3BWXXSommaire du match
79 - 2023-12-27529Bears1Wolf Pack0BLSommaire du match
81 - 2023-12-29548Wolf Pack3Cabaret Lady Mary Ann2AWXXSommaire du match
82 - 2023-12-30560Wolf Pack6Thunder3AWSommaire du match
85 - 2024-01-02575Caroline3Wolf Pack1BLSommaire du match
87 - 2024-01-04591Baby Hawks1Wolf Pack4BWSommaire du match
89 - 2024-01-06611Wolf Pack4Rocket1AWSommaire du match
91 - 2024-01-08621Comets0Wolf Pack1BWSommaire du match
94 - 2024-01-11647Wolf Pack2Chiefs3ALXSommaire du match
96 - 2024-01-13653Wolf Pack3Bears2AWSommaire du match
97 - 2024-01-14669Bears1Wolf Pack2BWSommaire du match
99 - 2024-01-16681Seattle2Wolf Pack4BWSommaire du match
101 - 2024-01-18701Wolf Pack3Las Vegas4ALSommaire du match
103 - 2024-01-20717Wolf Pack5Monarchs4AWXSommaire du match
104 - 2024-01-21722Wolf Pack3Admirals1AWSommaire du match
106 - 2024-01-23738Wolf Pack1Sags2ALSommaire du match
109 - 2024-01-26755Las Vegas0Wolf Pack3BWSommaire du match
110 - 2024-01-27766Wolf Pack1Senators2ALSommaire du match
119 - 2024-02-05781Monsters3Wolf Pack1BLSommaire du match
121 - 2024-02-07791Thunder4Wolf Pack5BWSommaire du match
123 - 2024-02-09802Wolf Pack2Baby Hawks1AWSommaire du match
126 - 2024-02-12820Heat3Wolf Pack4BWSommaire du match
129 - 2024-02-15840Rocket1Wolf Pack2BWSommaire du match
132 - 2024-02-18863Wolf Pack2Sound Tigers5ALSommaire du match
134 - 2024-02-20877Stars2Wolf Pack1BLSommaire du match
136 - 2024-02-22891Wolf Pack3Spiders4ALSommaire du match
138 - 2024-02-24905Wolf Pack2Phantoms3ALXXSommaire du match
139 - 2024-02-25921Wolf Pack6Monsters1AWSommaire du match
142 - 2024-02-28939Monsters0Wolf Pack3BWSommaire du match
145 - 2024-03-02964Wolf Pack3Marlies1AWSommaire du match
147 - 2024-03-04976Cabaret Lady Mary Ann1Wolf Pack2BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091018Chiefs2Wolf Pack3BWXSommaire du match
154 - 2024-03-111028Spiders4Wolf Pack3BLXXSommaire du match
155 - 2024-03-121032Wolf Pack3Caroline4ALXXSommaire du match
157 - 2024-03-141052Wolf Pack5Thunder2AWSommaire du match
159 - 2024-03-161061Wolf Pack3Manchots1AWSommaire du match
160 - 2024-03-171073Sound Tigers1Wolf Pack5BWSommaire du match
162 - 2024-03-191085Oceanics7Wolf Pack0BLSommaire du match
164 - 2024-03-211098Wolf Pack3Bruins1AWSommaire du match
166 - 2024-03-231119Cabaret Lady Mary Ann4Wolf Pack3BLSommaire du match
169 - 2024-03-261137Phantoms1Wolf Pack2BWSommaire du match
171 - 2024-03-281159Wolf Pack2Monsters4ALSommaire du match
173 - 2024-03-301168Wolf Pack4Jayhawks2AWSommaire du match
175 - 2024-04-011182Manchots1Wolf Pack2BWSommaire du match
177 - 2024-04-031198Spiders4Wolf Pack3BLXXSommaire du match
179 - 2024-04-051213Wolf Pack6Cougars1AWSommaire du match
181 - 2024-04-071234Rocket2Wolf Pack5BWSommaire du match
183 - 2024-04-091244Wolf Pack1Sound Tigers4ALSommaire du match
185 - 2024-04-111257Phantoms5Wolf Pack2BLSommaire du match
187 - 2024-04-131270Sound Tigers1Wolf Pack4BWSommaire du match
189 - 2024-04-151292Senators1Wolf Pack4BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance63,78527,778
Assistance PCT77.79%67.75%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2233 - 74.44% 90,935$3,728,352$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,496,442$ 1,655,360$ 1,655,360$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,622$ 1,496,442$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 8,622$ 8,622$




Wolf Pack 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

Wolf Pack 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

Wolf Pack 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

Wolf Pack 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

Wolf Pack 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