Connexion

Wolves
GP: 18 | W: 10 | L: 8 | OTL: 0 | P: 20
GF: 42 | GA: 43 | PP%: 12.37% | PK%: 86.84%
DG: Louis-Philippe Fraser | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #195 vs Moose
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Centre de jeu
Wolves
10-8-0, 20pts
0
FINAL
4 Eagles
11-6-0, 22pts
Team Stats
W1SéquenceW5
5-3-0Fiche domicile6-2-0
5-5-0Fiche domicile5-4-0
7-3-0Derniers 10 matchs7-3-0
2.33Buts par match 2.18
2.39Buts contre par match 1.76
12.37%Pourcentage en avantage numérique11.88%
86.84%Pourcentage en désavantage numérique92.22%
IceHogs
8-4-5, 21pts
1
FINAL
2 Wolves
10-8-0, 20pts
Team Stats
W1SéquenceW1
6-1-2Fiche domicile5-3-0
2-3-3Fiche domicile5-5-0
5-1-4Derniers 10 matchs7-3-0
2.71Buts par match 2.33
2.47Buts contre par match 2.39
11.21%Pourcentage en avantage numérique12.37%
87.76%Pourcentage en désavantage numérique86.84%
Moose
8-6-3, 19pts
Jour 34
Wolves
10-8-0, 20pts
Statistiques d’équipe
L1SéquenceW1
4-4-1Fiche domicile5-3-0
4-2-2Fiche visiteur5-5-0
3-4-310 derniers matchs7-3-0
2.59Buts par match 2.33
2.29Buts contre par match 2.33
15.15%Pourcentage en avantage numérique12.37%
88.18%Pourcentage en désavantage numérique86.84%
Wolves
10-8-0, 20pts
Jour 36
Wolf Pack
9-7-1, 19pts
Statistiques d’équipe
W1SéquenceW2
5-3-0Fiche domicile5-4-0
5-5-0Fiche visiteur4-3-1
7-3-010 derniers matchs5-4-1
2.33Buts par match 2.29
2.39Buts contre par match 2.29
12.37%Pourcentage en avantage numérique9.73%
86.84%Pourcentage en désavantage numérique80.68%
Wolves
10-8-0, 20pts
Jour 38
Heat
9-6-3, 21pts
Statistiques d’équipe
W1SéquenceL4
5-3-0Fiche domicile4-3-2
5-5-0Fiche visiteur5-3-1
7-3-010 derniers matchs5-4-1
2.33Buts par match 2.11
2.39Buts contre par match 2.11
12.37%Pourcentage en avantage numérique11.88%
86.84%Pourcentage en désavantage numérique85.45%
Meneurs d'équipe
Buts
Seth Jarvis
6
Passes
Joseph Veleno
8
Points
Seth Jarvis
12
Plus/Moins
Klim Kostin
4
Victoires
Joey Daccord
8
Pourcentage d’arrêts
Brandon Bussi
0.917

Statistiques d’équipe
Buts pour
42
2.33 GFG
Tirs pour
280
15.56 Avg
Pourcentage en avantage numérique
12.4%
12 GF
Début de zone offensive
38.6%
Buts contre
43
2.39 GAA
Tirs contre
366
20.33 Avg
Pourcentage en désavantage numérique
86.8%%
15 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généralLouis-Philippe Fraser
EntraîneurDon Granato
DivisionDivision 4
ConférenceConference 2
CapitaineJoseph Veleno
Assistant #1
Assistant #2Anthony Richard


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 60
Espoirs15


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
1Joseph Veleno (C)0X100.008445888071639661726260672560606650002321,212,917$
2Seth Jarvis0XX100.007342948463739273357570632560617350002111,425,000$
3Klim Kostin0XX100.009391687481567959366471632557576950002431,075,833$
4Graeme Clarke (R)0XX100.00726491646474766580626563624444665000221925,000$
5Cole Schwindt (R)0XX100.00746987616982895873535863554444625000221925,000$
6Justin Kirkland0XX100.00777387637367696150566165584646645000271750,000$
7Kieffer Bellows0XX100.00824492747154616032506062255656625000251750,000$
8Henrik Rybinski (R)0XX100.0072658865656366526553476045444456500N0221859,167$
9Carter Savoie (R)0X100.00736787656759615250435761544444585000214925,000$
10Ty Ronning0X100.00706191636150495750476260594444605000251750,000$
11Anthony Richard (A)0XX100.00844486636656896533627461255656705000261750,000$
12Eeli Tolvanen0XX100.008044927868688579326681652561627650002411,450,000$
13Alexandre Carrier0X100.00785682726375776625524887256465645000264750,000$
14Arber Xhekaj (R)0X100.0096994870916768652552506625494961500N02231,328,333$
15Jaycob Megna0X100.00815788688577776225544778256161625000301768,750$
16Maxime Lajoie0X100.00727273637276815925525164485253605000261780,000$
17Jake Bean0X100.007343878069696065256749777558596550002532,333,333$
18Luke Martin (R)0X100.00807981667961645125474064384444545000241750,000$
Rayé
1Cameron Hillis (R)0X100.00716291666247474860464459424444525000231910,000$
2Arshdeep Bains (R)0X100.0074688765687984605059576354444463500N0211816,667$
3Jacob Moverare (R)0X100.00767384687368735225494162394444565000251750,000$
4Oskari Laaksonen (R)0X100.00716584636566714825404059384444525000241925,000$
5Vladislav Kolyachonok0X100.00726979776977854925434060384747545000221910,833$
MOYENNE D’ÉQUIPE100.0077638469706674594155556540515162500
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
1Joey Daccord (R)0100.006153667764646167666595454563500N0273768,750$
2Brandon Bussi (R)0100.006141518667626166666530444461500N0251775,000$
Rayé
1Calvin Pickard0100.005754687859615361605930585858500N0311762,500$
MOYENNE D’ÉQUIPE100.006049628063625865646352494961500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Don Granato81858784827882USA5631,000,000$


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
1Seth JarvisWolves (VGK)C/RW1866121808394692413.04%538221.2703312770002602032.08%15900000.6302000211
2Joseph VelenoWolves (VGK)C18281002202740222149.09%032818.261568650002340054.98%29100000.6100000111
3Justin KirklandWolves (VGK)LW/RW18459016015122251418.18%224013.360003241011251041.18%1700000.7512000101
4Jake BeanWolves (VGK)D16178-240142113587.69%1231519.74123961011029000%000000.5122000100
5Alexandre CarrierWolves (VGK)D16347-4215291720101115.00%1835422.183031766000070100%100000.3900010210
6Arber XhekajWolves (VGK)D18077-1540621594140%536720.4003366901104300100.00%100000.3800000100
7Klim KostinWolves (VGK)LW/RW18437437533121961421.05%127615.361123250000751129.27%4100000.5102010100
8Graeme ClarkeWolves (VGK)C/RW183471809281541420.00%027615.352355630001431058.33%15600000.5111000001
9Cole SchwindtWolves (VGK)C/RW1825726011301731511.76%023312.9800009000030053.10%22600000.6000000030
10Jaycob MegnaWolves (VGK)D18246-512015201332115.38%1438421.381121169000084000%000000.3100000001
11Maxime LajoieWolves (VGK)D18246360161791322.22%634018.91101732011068100%000000.3500000000
12Arshdeep BainsWolves (VGK)LW1414504071212248.33%214410.30000061014460044.44%1800000.6900000000
13Luke MartinWolves (VGK)D16055419520103020%927717.3601118000053000%000000.3600100000
14Kieffer BellowsWolves (VGK)LW/RW18303-316011141771317.65%025314.08000464000031128.57%1400000.2412000011
15Ty RonningWolves (VGK)RW18213-3408885525.00%01578.7400000000020023.08%1300000.3802000000
16Anthony RichardWolves (VGK)LW/RW1521321001571671112.50%223315.581124400000150041.67%1200000.2600000000
17Carter SavoieWolves (VGK)LW18112-1209871514.29%121812.14112369000000046.15%1300000.1800000000
18Cameron HillisWolves (VGK)C11101-34001141125.00%119517.810000340000350043.93%21400000.1000000001
19Henrik RybinskiWolves (VGK)C/RW10011-1204111040%0767.61000000000240056.10%8200000.2600000000
20Eeli TolvanenWolves (VGK)LW/RW4101-2202440425.00%04611.7500000000000033.33%300000.4300000001
21Jacob MoverareWolves (VGK)D4000040723000%66516.3800026000013000%00000000000000
22Oskari LaaksonenWolves (VGK)D2000220100000%43417.460000000006000%00000000000000
Statistiques d’équipe totales ou en moyenne3244070110-6263153233382807520114.29%88520516.0712213395797235107398248.30%126100000.42513120978
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
1Joey DaccordWolves (VGK)168800.8812.4187100352950001.0006144100
2Calvin PickardWolves (VGK)42000.8812.23188007590000.571739000
3Brandon BussiWolves (VGK)10000.9172.0729001120000015000
Statistiques d’équipe totales ou en moyenne2110800.8832.3710900043366000131818100


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 restantSalaire moyenSalaire 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
Alexandre CarrierWolves (VGK)D261996-10-08No174 Lbs5 ft11NoNoNoNo4Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$750,000$750,000$Lien
Anthony RichardWolves (VGK)LW/RW261996-12-20No186 Lbs5 ft10NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Arber XhekajWolves (VGK)D222001-01-30Yes238 Lbs6 ft4YesNoNoNo3Pro & Farm1,328,333$1,045,527$1,328,333$1,045,527$0$0$No1,328,333$1,328,333$Lien
Arshdeep BainsWolves (VGK)LW212001-09-01Yes185 Lbs6 ft0YesNoNoNo1Pro & Farm816,667$642,796$816,667$642,796$0$0$NoLien
Brandon BussiWolves (VGK)G251998-06-25Yes205 Lbs6 ft5YesNoNoNo1Pro & Farm775,000$610,000$775,000$610,000$0$0$NoLien
Calvin PickardWolves (VGK)G311992-04-14No210 Lbs6 ft1YesNoNoNo1Pro & Farm762,500$600,161$762,500$600,161$0$0$NoLien
Cameron HillisWolves (VGK)C232000-06-24Yes170 Lbs5 ft10NoNoNoNo1Pro & Farm910,000$716,258$910,000$716,258$0$0$NoLien
Carter SavoieWolves (VGK)LW212002-01-23Yes192 Lbs5 ft9NoNoNoNo4Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$925,000$
Cole SchwindtWolves (VGK)C/RW222001-04-25Yes182 Lbs6 ft2NoNoNoNo1Pro & Farm925,000$728,065$870,000$684,774$0$0$NoLien
Eeli TolvanenWolves (VGK)LW/RW241999-04-22No191 Lbs5 ft10NoNoNoNo1Pro & Farm1,450,000$1,141,290$1,450,000$1,141,290$0$0$NoLien
Graeme ClarkeWolves (VGK)C/RW222001-04-24Yes175 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$728,065$850,833$669,688$0$0$NoLien
Henrik RybinskiWolves (VGK)C/RW222001-06-26Yes172 Lbs6 ft1YesNoNoNo1Pro & Farm859,167$676,248$859,167$676,248$0$0$NoLien
Jacob MoverareWolves (VGK)D251998-08-31Yes198 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Jake BeanWolves (VGK)D251998-06-09No186 Lbs6 ft1NoNoNoNo3Pro & Farm2,333,333$1,836,559$2,333,333$1,836,559$0$0$No2,333,333$2,333,333$Lien
Jaycob MegnaWolves (VGK)D301992-12-10No221 Lbs6 ft6NoNoNoNo1Pro & Farm768,750$605,081$768,750$605,081$0$0$NoLien
Joey DaccordWolves (VGK)G271996-08-19Yes197 Lbs6 ft2YesNoNoNo3Pro & Farm768,750$605,081$768,750$605,081$0$0$No768,750$768,750$Lien
Joseph VelenoWolves (VGK)C232000-01-13No191 Lbs6 ft1NoNoNoNo2Pro & Farm1,212,917$954,683$1,212,917$954,683$0$0$No1,212,917$Lien
Justin KirklandWolves (VGK)LW/RW271996-08-02No193 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Kieffer BellowsWolves (VGK)LW/RW251998-06-10No194 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Klim KostinWolves (VGK)LW/RW241999-05-05No212 Lbs6 ft3NoNoNoNo3Pro & Farm1,075,833$846,785$1,075,833$846,785$0$0$No1,075,833$1,075,833$Lien
Luke MartinWolves (VGK)D241998-09-20Yes218 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$No
Maxime LajoieWolves (VGK)D261997-05-11No196 Lbs6 ft1NoNoNoNo1Pro & Farm780,000$613,935$710,000$558,839$0$0$NoLien
Oskari LaaksonenWolves (VGK)D241999-07-02Yes172 Lbs6 ft1NoNoNoNo1Pro & Farm925,000$728,065$853,333$671,656$0$0$NoLien
Seth JarvisWolves (VGK)C/RW212002-02-01No175 Lbs5 ft10NoNoNoNo1Pro & Farm1,425,000$1,121,613$1,425,000$1,121,613$0$0$NoLien
Ty RonningWolves (VGK)RW251997-10-20No172 Lbs5 ft9NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Vladislav KolyachonokWolves (VGK)D222001-05-26No189 Lbs6 ft1NoNoNoNo1Pro & Farm910,833$716,914$910,833$716,914$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.35192 Lbs6 ft11.58966,426$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eeli TolvanenJoseph VelenoSeth Jarvis35122
2Carter SavoieGraeme ClarkeAnthony Richard31122
3Kieffer BellowsCole SchwindtKlim Kostin24122
4Justin KirklandHenrik RybinskiTy Ronning10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexandre CarrierJake Bean35122
2Arber XhekajJaycob Megna30122
3Maxime LajoieLuke Martin25122
4Alexandre CarrierLuke Martin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Carter SavoieJoseph VelenoSeth Jarvis60122
2Anthony RichardGraeme ClarkeKieffer Bellows40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanAlexandre Carrier60122
2Arber XhekajJaycob Megna40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Henrik RybinskiKlim Kostin60122
2Graeme ClarkeJustin Kirkland40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexandre CarrierMaxime Lajoie60122
2Luke MartinJaycob Megna40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Klim Kostin60122Maxime LajoieLuke Martin60122
2Ty Ronning40122Arber XhekajJake Bean40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SchwindtAnthony Richard60122
2Joseph VelenoKlim Kostin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanArber Xhekaj60122
2Alexandre CarrierJaycob Megna40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Carter SavoieJoseph VelenoSeth JarvisJake BeanJaycob Megna
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Klim KostinCole SchwindtAnthony RichardAlexandre CarrierArber Xhekaj
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Seth Jarvis, Graeme Clarke, Cole SchwindtSeth Jarvis, Graeme ClarkeSeth Jarvis
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxime Lajoie, Jake Bean, Luke MartinMaxime LajoieMaxime Lajoie, Jaycob Megna
Tirs de pénalité
Klim Kostin, Justin Kirkland, Kieffer Bellows, Ty Ronning, Seth Jarvis
Gardien
#1 : Joey Daccord, #2 : Brandon Bussi
Lignes d’attaque personnalisées en prolongation
Eeli Tolvanen, Seth Jarvis, Joseph Veleno, Carter Savoie, Anthony Richard, Henrik Rybinski, Henrik Rybinski, Cole Schwindt, Ty Ronning, Klim Kostin, Graeme Clarke
Lignes de défense personnalisées en prolongation
Jake Bean, Arber Xhekaj, Alexandre Carrier, Jaycob Megna, Maxime Lajoie


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
1Condors11000000413000000000001100000041321.000471100181377241078978191441014800.00%40100.00%025248252.28%23351545.24%12425349.01%415274445139231115
2Eagles30300000210-82020000026-41010000004-400.000235001813772810789781963185469900.00%21290.48%025248252.28%23351545.24%12425349.01%415274445139231115
3IceHogs31100010752210000106331010000012-140.6677101700181377611078978196813344618211.11%17288.24%025248252.28%23351545.24%12425349.01%415274445139231115
4Monarchs2110000045-12110000045-10000000000020.50048120018137731107897819418203013215.38%9188.89%025248252.28%23351545.24%12425349.01%415274445139231115
5Monsters10000010431000000000001000001043121.00045900181377201078978191941022400.00%4175.00%125248252.28%23351545.24%12425349.01%415274445139231115
6Phantoms3210000011830000000000032100000118340.66711193000181377511078978196015585815426.67%27581.48%125248252.28%23351545.24%12425349.01%415274445139231115
7Stars30102000660100010003212010100034-140.6676101600181377401078978196315415415213.33%160100.00%025248252.28%23351545.24%12425349.01%415274445139231115
8Thunderbird2110000045-1110000003211010000013-220.500481200181377251078978193811363015213.33%16475.00%025248252.28%23351545.24%12425349.01%415274445139231115
Total1868020204243-183301010181801035010102425-1200.55642701120018137728010789781936688263323971212.37%1141586.84%225248252.28%23351545.24%12425349.01%415274445139231115
_Since Last GM Reset1868020204243-183301010181801035010102425-1200.55642701120018137728010789781936688263323971212.37%1141586.84%225248252.28%23351545.24%12425349.01%415274445139231115
_Vs Conference1447020102732-5833010101818061401000914-5140.500274673001813772091078978192876919524378810.26%83989.16%025248252.28%23351545.24%12425349.01%415274445139231115
_Vs Division1126020101926-7622010101413150401000513-8100.455193150001813771541078978192325716519957610.53%70888.57%025248252.28%23351545.24%12425349.01%415274445139231115

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1820W142701122803668826332300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
186820204243
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83310101818
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
103510102425
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
971212.37%1141586.84%2
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
107897819181377
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
25248252.28%23351545.24%12425349.01%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
415274445139231115


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
26Monarchs4Wolves2BLSommaire du match
415Wolves4Phantoms3AWSommaire du match
724Wolves2Phantoms3ALSommaire du match
836IceHogs2Wolves4BWSommaire du match
943Wolves0Stars2ALSommaire du match
1053Wolves1Thunderbird3ALSommaire du match
1364Eagles3Wolves2BLSommaire du match
1681Thunderbird2Wolves3BWSommaire du match
1894Eagles3Wolves0BLSommaire du match
19107Wolves4Condors1AWSommaire du match
21117Stars2Wolves3BWXSommaire du match
22128Wolves4Monsters3AWXXSommaire du match
23131Wolves3Stars2AWXSommaire du match
24139Wolves1IceHogs2ALSommaire du match
27150Monarchs1Wolves2BWSommaire du match
29160Wolves5Phantoms2AWSommaire du match
30168Wolves0Eagles4ALSommaire du match
31175IceHogs1Wolves2BWXXSommaire du match
34195Moose-Wolves-
36208Wolves-Wolf Pack-
38219Wolves-Heat-
39223Crunch-Wolves-
42239Heat-Wolves-
44254Stars-Wolves-
45265Wolves-Rocket-
47277Wolves-Stars-
48283Bruins-Wolves-
50294Wolves-Penguins-
52304Barracuda-Wolves-
53317Wolves-Gulls-
55327Barracuda-Wolves-
57340Wolves-IceHogs-
6035167s-Wolves-
62362Wolves-Thunderbird-
64370Sound Tigers-Wolves-
65381Wolves-Phantoms-
68393Wolves-Crunch-
69401Moose-Wolves-
71414Condors-Wolves-
72425Wolves-Barracuda-
75435Stars-Wolves-
76448Wolves-Phantoms-
77455Griffins-Wolves-
80471Wolves-Monsters-
81481Gulls-Wolves-
84493Wolves-Griffins-
85501Phantoms-Wolves-
87512Wolves-Gulls-
90525Eagles-Wolves-
92538Penguins-Wolves-
93548Wolves-Stars-
95557Wolves-Thunderbird-
96567Condors-Wolves-
98578Wolves-IceHogs-
99587Wolves-Condors-
101592IceHogs-Wolves-
103609Gulls-Wolves-
106627Monarchs-Wolves-
107634Wolves-Heat-
109641Wolves-67s-
111653Phantoms-Wolves-
114670Marlies-Wolves-
115679Wolves-Monarchs-
117693Monarchs-Wolves-
118697Wolves-Eagles-
120715Wolves-Bruins-
121722Rocket-Wolves-
124736Wolves-Marlies-
125745Monsters-Wolves-
126755Wolves-Barracuda-
127762Wolves-Sound Tigers-
129770Eagles-Wolves-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
132788Thunderbird-Wolves-
134803Thunderbird-Wolves-
136813Wolves-Moose-
139825Wolves-Eagles-
140832Wolves-Moose-
142835Monsters-Wolves-
144850Wolves-Monarchs-
146857Rocket-Wolves-
148876Wolf Pack-Wolves-
153897Heat-Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
716,015$ 2,512,708$ 2,485,624$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 503,123$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 122 22,663$ 2,764,886$




Wolves 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

Wolves 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

Wolves 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

Wolves 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

Wolves 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