Connexion

Chicago Wolves
GP: 57 | W: 29 | L: 23 | OTL: 5 | P: 63
GF: 188 | GA: 194 | PP%: 22.22% | PK%: 71.97%
DG: Frederic Bergeron | Morale : 43 | Moyenne d’équipe : 63
Prochains matchs #939 vs San Antonio Rampage
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Centre de jeu
Hartford Wolf Pack
33-22-5, 71pts
4
FINAL
5 Chicago Wolves
29-23-5, 63pts
Team Stats
L4SéquenceW2
15-10-4Fiche domicile16-10-3
18-12-1Fiche domicile13-13-2
4-5-1Derniers 10 matchs5-4-1
3.42Buts par match 3.30
3.37Buts contre par match 3.40
30.63%Pourcentage en avantage numérique22.22%
69.61%Pourcentage en désavantage numérique71.97%
Texas Stars
25-27-7, 57pts
3
FINAL
5 Chicago Wolves
29-23-5, 63pts
Team Stats
W1SéquenceW2
14-9-6Fiche domicile16-10-3
11-18-1Fiche domicile13-13-2
4-5-1Derniers 10 matchs5-4-1
3.08Buts par match 3.30
3.51Buts contre par match 3.40
27.40%Pourcentage en avantage numérique22.22%
74.05%Pourcentage en désavantage numérique71.97%
San Antonio Rampage
33-18-8, 74pts
Jour 178
Chicago Wolves
29-23-5, 63pts
Statistiques d’équipe
W1SéquenceW2
18-6-5Fiche domicile16-10-3
15-12-3Fiche visiteur13-13-2
3-3-410 derniers matchs5-4-1
3.00Buts par match 3.30
2.49Buts contre par match 3.30
27.20%Pourcentage en avantage numérique22.22%
76.92%Pourcentage en désavantage numérique71.97%
Chicago Wolves
29-23-5, 63pts
Jour 181
San Diego Gulls
39-13-8, 86pts
Statistiques d’équipe
W2SéquenceW2
16-10-3Fiche domicile17-7-5
13-13-2Fiche visiteur22-6-3
5-4-110 derniers matchs7-3-0
3.30Buts par match 3.42
3.40Buts contre par match 3.42
22.22%Pourcentage en avantage numérique29.80%
71.97%Pourcentage en désavantage numérique77.88%
Charlotte Checkers
27-25-5, 59pts
Jour 185
Chicago Wolves
29-23-5, 63pts
Statistiques d’équipe
W2SéquenceW2
12-14-3Fiche domicile16-10-3
15-11-2Fiche visiteur13-13-2
4-6-010 derniers matchs5-4-1
3.21Buts par match 3.30
3.49Buts contre par match 3.30
17.76%Pourcentage en avantage numérique22.22%
72.54%Pourcentage en désavantage numérique71.97%
Meneurs d'équipe
Buts
Dmitry Voronkov
20
Passes
Sam Carrick
29
Points
Sam Carrick
49
Plus/Moins
Dmitry Voronkov
10
Garret SparksVictoires
Garret Sparks
23
Pourcentage d’arrêts
Hugo Alnefelt
1

Statistiques d’équipe
Buts pour
188
3.30 GFG
Tirs pour
1804
31.65 Avg
Pourcentage en avantage numérique
22.2%
32 GF
Début de zone offensive
37.0%
Buts contre
194
3.40 GAA
Tirs contre
1906
33.44 Avg
Pourcentage en désavantage numérique
72.0%%
44 GA
Début de la zone défensive
38.0%
Informations de l'équipe

Directeur généralFrederic Bergeron
EntraîneurAdam Foote
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 100
Espoirs44


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
1Dmitry Voronkov (R)0X100.006650717368808875507568626156517569670233925,000$
2Walker Duehr (R)0XX100.0074418167828184656068686960566158386602631,450,000$
3Stefan Noesen0XXX100.0070486964798087697970665964807464636603111,200,000$
4Jesse Ylonen0X100.0063357969768687666669656266656473566502411,000,000$
5Sam Carrick0XXX100.0078746161757883617963646359807846806403221,999,000$
6Steven Fogarty0X100.0069469366858483637257616558797150666423011,200,000$
7Aatu Raty (R)0X100.006838926780807163776060636166658361632211859,167$
8James Hamblin0X100.005535786567818360646462626258606761620242800,000$
9Brayden Tracey (R)0X100.0066607163818886595559556360646477646202211,000,000$
10Sean Malone 0X100.006450796474807762696162586055547849610282950,000$
11Gemel Smith0XXX100.0077719064737879656055534363767154686002910$
12Daniel Torgersson0XX100.007455705969807256585459565561418421570222867,500$
13Casey Fitzgerald0X100.0075447964778577653065527148726954616722731,450,000$
14Travis Dermott0X100.0066437568758373653061596352737168456522741,900,000$
15Trevor Carrick0X100.0058498663818277583055576452767153616302911,444,000$
16Mitchell Vande Sompel0X100.006336896275867158305760635552527034612272800,000$
17Layton Ahac (R)0X100.007658726481777251305754546064648457600233900,000$
18Eemil Viro (R)0X100.00592561556177725530595954606262123570222828,333$
Rayé
1Cole Koepke0X100.007140616267787964586256625961417745600253900,000$
2Stephen Halliday (R)0X100.007545806877757560625555605550507740591213833,000$
3Lukas Svejkovsky (R)19X100.007760606067707260705555605850516837581222859,167$
4Vasiliy Ponomarev0XX100.006645606177727055585857606060407038582221815,000$
5Aleksandr Kisakov (R)0XX100.006545776067727255505055564050558020552212859,167$
6Ryder Korczak (R)0X100.005545605568707255555252575050547720540212859,167$
7Ilya Nikolaev (R)0X100.005560705560707050505250504050606620520222836,667$
8Emil Martinsen Lilleberg (R)0X100.006655686077727561306255686045458838611233833,000$
MOYENNE D’ÉQUIPE100.00674874637479776154605860576259674861
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
1Garret Sparks0100.007377758474737373727074767955827303011,330,000$
2Dustin Tokarski0100.008175777472727070717175748653717203411,200,000$
Rayé
1Hunter Shepard0100.007982807877787576767770535373417302811,333,000$
2Hugo Alnefelt0100.00757474807278767372707265407820702222850,833$
3Jesper Vikman (R)0100.00757070806867696664636255507720650223775,000$
MOYENNE D’ÉQUIPE100.0077767579737473727170716562674771
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Foote68607365777173CAN5241,500,000$


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
1Sam CarrickChicago Wolves (GKN)C/LW/RW572029496131659870150377713.33%28111419.56841222940000161254.39%4212121000.8800634255
2Jesse YlonenChicago Wolves (GKN)RW49202040-51205348136459014.71%1672714.84861426920000133151.50%3342414011.1001000500
3Steven FogartyChicago Wolves (GKN)C561424384606281109289512.84%26109619.5716769111231063152.09%8622023000.6901000023
4Walker DuehrChicago Wolves (GKN)LW/RW44102434-2115514810148789.90%1868015.461677700001381044.17%1202512001.0000001213
5Dmitry Voronkov Chicago Wolves (GKN)LW36201232101554031129275515.50%1051814.41112319000003254.17%24146001.2300010224
6Gemel SmithChicago Wolves (GKN)C/LW/RW571414281755233111275912.61%2090415.8602274611281002054.17%482014000.6201100241
7Casey FitzgeraldChicago Wolves (GKN)D5142327925575706523366.15%70123124.143710798011288000%01745000.4400001002
8Aatu RatyChicago Wolves (GKN)C5791524-1115585386234110.47%2485715.051236641016872056.07%2391214000.5600010311
9Brayden TraceyChicago Wolves (GKN)LW57711186235535161254711.48%1668211.9700005000011042.65%681015000.5300001011
10Stefan NoesenChicago Wolves (GKN)C/LW/RW20107178215261269223914.49%632216.11000112000130151.61%31159001.0600001121
11Travis DermottChicago Wolves (GKN)D5621517-730056495929243.39%80128422.95022384000090100%02442000.2600000010
12Sean Malone Chicago Wolves (GKN)C474812-7181034275416327.41%1349810.60112930000002045.32%203810000.4800110010
13Trevor CarrickChicago Wolves (GKN)D571910-19520453214193.13%36104418.33112182000196000%0830000.1900001010
14James HamblinChicago Wolves (GKN)C5754914091341142112.20%23135.50011090000191163.41%8234000.5700000002
15Mitchell Vande SompelChicago Wolves (GKN)D48268120252930866.67%2363813.31101239000038100%0916000.2500000001
16Layton AhacChicago Wolves (GKN)D48167-741153225301383.33%2776415.93022214000170100%0914000.1800201000
17Alexandre TexierLas Vegas Golden KnightsC/LW/RW4224-220281141218.18%46215.6700000000001025.00%411001.2800000010
18Cole KoepkeChicago Wolves (GKN)LW401231409082312.50%0922.3200000000000066.67%321000.6500000010
19Daniel TorgerssonChicago Wolves (GKN)LW/RW25112-30016651720.00%21114.4700000000000050.00%210000.3600000000
20Eemil ViroChicago Wolves (GKN)D22011-910012115330%1227812.670000100000000%037000.0700000000
21Martin FehervaryLas Vegas Golden KnightsD501114041010320%1813326.7400007000014000%024000.1500000000
22Lukas SvejkovskyChicago Wolves (GKN)C34000000100000%060.200000000000000%10000000000000
23Emil Martinsen LillebergChicago Wolves (GKN)D1000000011100%11717.230000100000000%00000000000000
24Vasiliy PonomarevChicago Wolves (GKN)C/RW14000000000000%010.130000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne9421472343814386130788721130341375411.28%4521338414.212641671028663362378923851.97%2442248302010.570310610172324
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
1Garret SparksChicago Wolves (GKN)45232020.9013.192705011441459733130.7504459222
2Dustin TokarskiChicago Wolves (GKN)105230.8963.76590003735717400001045100
3Hunter ShepardChicago Wolves (GKN)21100.8934.501200098437000020000
4Hugo AlnefeltChicago Wolves (GKN)10001.00001800031000003000
Statistiques d’équipe totales ou en moyenne58292350.9003.3234350119019039451345757322


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé 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 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
Aatu RatyChicago Wolves (GKN)C212002-04-14 07:24:03Yes185 Lbs6 ft2NoNoN/ANoNo1Pro & Farm859,167$213,870$859,167$213,870$0$0$No------------------Lien
Aleksandr KisakovChicago Wolves (GKN)LW/RW212002-11-01 14:37:25Yes150 Lbs5 ft10NoNoN/ANoNo2Pro & Farm859,167$213,870$859,167$213,870$0$0$No859,167$--------No--------
Brayden TraceyChicago Wolves (GKN)LW222001-05-28 06:58:37Yes177 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$248,927$1,000,000$248,927$0$0$No------------------
Casey FitzgeraldChicago Wolves (GKN)D271997-02-25No188 Lbs5 ft11NoNoN/ANoNo3Pro & Farm1,450,000$360,944$1,450,000$360,944$0$0$No1,450,000$1,450,000$-------NoNo-------
Cole KoepkeChicago Wolves (GKN)LW251998-05-17 07:26:51No196 Lbs6 ft1NoNoN/ANoNo3Pro & Farm900,000$224,034$900,000$224,034$0$0$No900,000$900,000$-------NoNo-------Lien
Daniel TorgerssonChicago Wolves (GKN)LW/RW222002-01-26 07:27:44No199 Lbs6 ft3NoNoN/ANoNo2Pro & Farm867,500$215,944$867,500$215,944$0$0$No867,500$--------No--------Lien
Dmitry Voronkov Chicago Wolves (GKN)LW232000-09-10 03:00:53Yes190 Lbs6 ft4NoNoN/ANoNo3Pro & Farm925,000$230,258$925,000$230,258$0$0$No925,000$925,000$-------NoNo-------Lien
Dustin TokarskiChicago Wolves (GKN)G341989-09-16No198 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,200,000$298,712$1,200,000$298,712$0$0$No------------------Lien
Eemil ViroChicago Wolves (GKN)D222002-04-03 14:41:46Yes165 Lbs6 ft0NoNoN/ANoNo2Pro & Farm828,333$206,194$828,333$206,194$0$0$No828,333$--------No--------
Emil Martinsen LillebergChicago Wolves (GKN)D232001-02-02 04:58:19Yes205 Lbs6 ft1NoNoDraftNoNo32024-03-26Pro & Farm833,000$207,356$833,000$207,356$0$0$No833,000$833,000$-------NoNo-------Lien
Garret SparksChicago Wolves (GKN)G301993-06-28No220 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,330,000$331,073$1,330,000$331,073$0$0$No------------------Lien / Lien NHL
Gemel SmithChicago Wolves (GKN)C/LW/RW291994-04-16No203 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,455,000$362,189$0$0$No------------------Lien / Lien NHL
Hugo AlnefeltChicago Wolves (GKN)G222001-06-04 07:29:47No183 Lbs6 ft3NoNoN/ANoNo2Pro & Farm850,833$211,795$850,833$211,795$0$0$No850,833$--------No--------Lien
Hunter ShepardChicago Wolves (GKN)G281995-11-07 09:59:04No201 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,333,000$331,820$1,333,000$331,820$0$0$No------------------Lien
Ilya NikolaevChicago Wolves (GKN)C222001-06-26 14:43:29Yes190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm836,667$208,269$836,667$208,269$0$0$No836,667$--------No--------
James HamblinChicago Wolves (GKN)C241999-04-27 09:36:54No181 Lbs5 ft10NoNoN/ANoNo2Pro & Farm800,000$199,142$800,000$199,142$0$0$No800,000$--------No--------Lien
Jesper VikmanChicago Wolves (GKN)G222002-03-11 04:26:20Yes176 Lbs6 ft3NoNoN/ANoNo3Pro & Farm775,000$192,918$775,000$192,918$0$0$No775,000$775,000$-------NoNo-------
Jesse YlonenChicago Wolves (GKN)RW241999-10-03 07:05:27No181 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,000,000$248,927$1,000,000$248,927$0$0$No------------------
Layton AhacChicago Wolves (GKN)D232001-02-22 09:58:35Yes188 Lbs6 ft2NoNoN/ANoNo3Pro & Farm900,000$224,034$900,000$224,034$0$0$No900,000$900,000$-------NoNo-------
Lukas SvejkovskyChicago Wolves (GKN)C222001-11-28 14:44:40Yes165 Lbs5 ft10NoNoN/ANoNo2Pro & Farm859,167$213,870$859,167$213,870$0$0$No859,167$--------No--------
Mitchell Vande SompelChicago Wolves (GKN)D271997-02-11 08:36:26No198 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$199,142$800,000$199,142$0$0$No800,000$--------No--------
Ryder KorczakChicago Wolves (GKN)C212002-09-23 14:45:50Yes171 Lbs5 ft11NoNoN/ANoNo2Pro & Farm859,167$213,870$859,167$213,870$0$0$No859,167$--------No--------
Sam CarrickChicago Wolves (GKN)C/LW/RW321992-02-04No205 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,999,000$497,605$1,999,000$497,605$0$0$No1,999,000$--------No--------Lien
Sean Malone Chicago Wolves (GKN)C281995-04-30 08:15:40No197 Lbs6 ft0NoNoN/ANoNo2Pro & Farm950,000$236,481$950,000$236,481$0$0$No950,000$--------No--------Lien
Stefan NoesenChicago Wolves (GKN)C/LW/RW311993-02-12No205 Lbs6 ft1NoNoN/ANoYes1Farm Only1,200,000$298,712$1,200,000$298,712$0$0$No------------------Lien / Lien NHL
Stephen HallidayChicago Wolves (GKN)C212002-07-02 00:38:03Yes213 Lbs6 ft3NoNoDraftNoNo32024-04-01Pro & Farm833,000$207,356$833,000$207,356$0$0$No833,000$833,000$-------NoNo-------Lien
Steven FogartyChicago Wolves (GKN)C301993-04-19No208 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,200,000$298,712$1,200,000$298,712$0$0$No------------------Lien
Travis DermottChicago Wolves (GKN)D271996-12-22No202 Lbs6 ft0NoNoN/ANoNo4Pro & Farm1,900,000$472,961$1,900,000$472,961$0$0$No1,900,000$1,900,000$1,900,000$------NoNoNo------Lien
Trevor CarrickChicago Wolves (GKN)D291994-07-04No196 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,444,000$359,451$1,444,000$359,451$0$0$No------------------Lien / Lien NHL
Vasiliy PonomarevChicago Wolves (GKN)C/RW222002-03-13 07:34:22No180 Lbs5 ft10NoNoDraftNoNo1Pro & Farm815,000$202,876$815,000$202,876$0$0$No------------------Lien
Walker DuehrChicago Wolves (GKN)LW/RW261997-11-23 06:37:13Yes210 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,450,000$360,944$1,450,000$360,944$0$0$No1,450,000$1,450,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.16191 Lbs6 ft11.971,074,581$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam CarrickSteven FogartyStefan Noesen40113
2Walker DuehrAatu RatyJesse Ylonen32122
3Dmitry Voronkov Sean Malone Gemel Smith19023
4Brayden TraceyJames HamblinDaniel Torgersson9122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Layton AhacEemil Viro38113
2Casey FitzgeraldTravis Dermott34122
3Mitchell Vande SompelTrevor Carrick19122
4Travis DermottCasey Fitzgerald9122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Walker DuehrSam CarrickJesse Ylonen57104
2Dmitry Voronkov Steven FogartyAatu Raty43005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitchell Vande SompelCasey Fitzgerald60113
2Travis DermottTrevor Carrick40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Steven FogartyGemel Smith55140
2Sam CarrickAatu Raty45140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Layton AhacTravis Dermott60140
2Trevor CarrickCasey Fitzgerald40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Steven Fogarty52050Travis DermottMitchell Vande Sompel60140
2Jesse Ylonen48050Casey FitzgeraldTrevor Carrick40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Steven FogartyStefan Noesen60113
2Sam CarrickJesse Ylonen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor CarrickEemil Viro60122
2Travis DermottCasey Fitzgerald40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steven FogartyDmitry Voronkov Sam CarrickCasey FitzgeraldTravis Dermott
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Steven FogartyDmitry Voronkov Sam CarrickCasey FitzgeraldTravis Dermott
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gemel Smith, Dmitry Voronkov , Steven FogartySteven Fogarty, Walker DuehrSteven Fogarty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Casey Fitzgerald, Trevor Carrick, Travis DermottTravis DermottCasey Fitzgerald, Travis Dermott
Tirs de pénalité
Dmitry Voronkov , Jesse Ylonen, Walker Duehr, Sam Carrick, Steven Fogarty
Gardien
#1 : Garret Sparks, #2 : Dustin Tokarski
Lignes d’attaque personnalisées en prolongation
Dmitry Voronkov , Sam Carrick, Jesse Ylonen, Brayden Tracey, Sean Malone , Stefan Noesen, Stefan Noesen, Aatu Raty, Walker Duehr, Gemel Smith, Steven Fogarty
Lignes de défense personnalisées en prolongation
Mitchell Vande Sompel, Layton Ahac, Travis Dermott, Trevor Carrick, Casey Fitzgerald


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
1Bakersfield Condors21100000770110000004311010000034-120.50071320004287536665926725281662233228300.00%11281.82%0622124250.08%647127550.75%42984151.01%116761711485391123563
2Belleville Senators2110000056-11010000035-21100000021120.500510151042875366759267252816913511298112.50%30100.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
3Binghamton Devils1010000023-1000000000001010000023-100.00024600428753625592672528163261521300.00%5180.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
4Bridgeport Sound Tigers11000000202110000002020000000000021.000246014287536265926725281693419100.00%20100.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
5Charlotte Checkers11000000422110000004220000000000021.000471100428753630592672528163511212200.00%10100.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
6Cleveland Monsters22000000954110000003211100000063341.000916250042875367359267252816701421355240.00%3166.67%1622124250.08%647127550.75%42984151.01%116761711485391123563
7Grand Rapids Griffins20002000752100010004311000100032141.000711180042875366559267252816622217434250.00%6183.33%0622124250.08%647127550.75%42984151.01%116761711485391123563
8Hartford Wolf Pack2110000067-1110000005411010000013-220.50069150042875365559267252816832526343133.33%8187.50%0622124250.08%647127550.75%42984151.01%116761711485391123563
9Hershey Bears10001000431000000000001000100043121.000461000428753620592672528163614101422100.00%50100.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
10Iowa Wild1010000016-5000000000001010000016-500.0001120042875363159267252816311417255120.00%6350.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
11Laval Rocket11000000413000000000001100000041321.00046100042875363859267252816215425100.00%20100.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
12Lehigh Valley Phantoms1010000035-21010000035-20000000000000.00036910428753632592672528163712718200.00%10100.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
13Manitoba Moose2110000089-1110000005321010000036-320.500814220042875367259267252816702720444125.00%5260.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
14Milwaukee Admirals20000200810-21000010056-11000010034-120.500816240042875367759267252816832333324250.00%3233.33%0622124250.08%647127550.75%42984151.01%116761711485391123563
15Ontario Reign421000011311242100001131120000000000050.625132235004287536107592672528161184029779111.11%12466.67%0622124250.08%647127550.75%42984151.01%116761711485391123563
16Palm Springs 51400000914-5211000005503030000049-520.20091625004287536134592672528161334153981616.25%17758.82%1622124250.08%647127550.75%42984151.01%116761711485391123563
17Rochester Americans 11000000312110000003120000000000021.0003580042875363659267252816189421300.00%20100.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
18Rockford IceHogs2110000079-2110000006421010000015-420.500713200042875366259267252816853422325240.00%6183.33%0622124250.08%647127550.75%42984151.01%116761711485391123563
19San Antonio Rampage21000100770000000000002100010077030.750714210042875366559267252816551119376233.33%7185.71%1622124250.08%647127550.75%42984151.01%116761711485391123563
20San Diego Gulls30300000615-92020000038-51010000037-400.00061117004287536100592672528161263222515120.00%6516.67%0622124250.08%647127550.75%42984151.01%116761711485391123563
21San Jose Barracuda31200000811-31010000026-42110000065120.333812200042875361035926725281612938305011218.18%10280.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
22Springfield Thunderbirds1000010045-11000010045-10000000000010.500471100428753637592672528164013910200.00%2150.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
23Stockton Heat430010002314922000000138521001000106481.0002342650042875361215926725281611136248014535.71%7357.14%0622124250.08%647127550.75%42984151.01%116761711485391123563
24Syracuse Crunch11000000431000000000001100000043121.00045900428753626592672528163710139200.00%4175.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
25Texas Stars521020002116511000000532411020001613380.8002135561042875361625926725281614443579613323.08%11281.82%0622124250.08%647127550.75%42984151.01%116761711485391123563
26Tucson Roadrunners1010000013-2000000000001010000013-200.00011200428753636592672528163815782150.00%10100.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
27Tulsa Oilers 11000000514110000005140000000000021.0005712004287536255926725281634106214125.00%30100.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
28Utica Comets 1010000015-41010000015-40000000000000.000123004287536355926725281643111816300.00%4250.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
29Wilkes-Barre/Scranton Penguins 20200000610-420200000610-40000000000000.00061117004287536785926725281673298242150.00%4250.00%0622124250.08%647127550.75%42984151.01%116761711485391123563
Total57232306401188194-629151001201104100428813052008494-10630.553188326514314287536180459267252816190660654010091443222.22%1574471.97%3622124250.08%647127550.75%42984151.01%116761711485391123563
_Since Last GM Reset57232306401188194-629151001201104100428813052008494-10630.553188326514314287536180459267252816190660654010091443222.22%1574471.97%3622124250.08%647127550.75%42984151.01%116761711485391123563
_Vs Conference42171605301144145-1201250110177651222511042006780-13480.57114425139510428753613295926725281613864344117691122724.11%1153668.70%3622124250.08%647127550.75%42984151.01%116761711485391123563
_Vs Division221113031016777-101375000014146-5948031002631-5300.6826711818500428753666659267252816722221208400611016.39%672562.69%1622124250.08%647127550.75%42984151.01%116761711485391123563

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5763W218832651418041906606540100931
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5723236401188194
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2915101201104100
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2881352008494
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1443222.22%1574471.97%3
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
592672528164287536
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
622124250.08%647127550.75%42984151.01%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
116761711485391123563


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
27Ontario Reign4Chicago Wolves2BLSommaire du match
418Chicago Wolves4Texas Stars3AWXSommaire du match
736Chicago Wolves3San Diego Gulls7ALSommaire du match
950San Jose Barracuda6Chicago Wolves2BLSommaire du match
1475Chicago Wolves1Palm Springs 3ALSommaire du match
1582Chicago Wolves1Texas Stars3ALSommaire du match
1791Ontario Reign2Chicago Wolves4BWSommaire du match
21105Chicago Wolves4Stockton Heat3AWXSommaire du match
23117San Diego Gulls5Chicago Wolves1BLSommaire du match
26135Chicago Wolves5Texas Stars4AWXSommaire du match
29152Ontario Reign4Chicago Wolves3BLXXSommaire du match
32176Chicago Wolves2San Jose Barracuda3ALSommaire du match
34186Chicago Wolves1Tucson Roadrunners3ALSommaire du match
35189Charlotte Checkers2Chicago Wolves4BWSommaire du match
38203Chicago Wolves3Bakersfield Condors4ALSommaire du match
41217Bakersfield Condors3Chicago Wolves4BWSommaire du match
44230Chicago Wolves2Palm Springs 4ALSommaire du match
48252Palm Springs 3Chicago Wolves2BLSommaire du match
55282Bridgeport Sound Tigers0Chicago Wolves2BWSommaire du match
60307Ontario Reign1Chicago Wolves4BWSommaire du match
63321Chicago Wolves4San Antonio Rampage3AWSommaire du match
66338Palm Springs 2Chicago Wolves3BWSommaire du match
70361Chicago Wolves3Grand Rapids Griffins2AWXSommaire du match
72372Belleville Senators5Chicago Wolves3BLSommaire du match
75394Chicago Wolves4Syracuse Crunch3AWSommaire du match
77404Lehigh Valley Phantoms5Chicago Wolves3BLSommaire du match
81429Cleveland Monsters2Chicago Wolves3BWSommaire du match
84447Chicago Wolves4Hershey Bears3AWXSommaire du match
86460Chicago Wolves1Hartford Wolf Pack3ALSommaire du match
87466Wilkes-Barre/Scranton Penguins 5Chicago Wolves3BLSommaire du match
91486Chicago Wolves3Milwaukee Admirals4ALXSommaire du match
95500Springfield Thunderbirds5Chicago Wolves4BLXSommaire du match
97509Chicago Wolves2Belleville Senators1AWSommaire du match
101526Chicago Wolves6Texas Stars3AWSommaire du match
103535Milwaukee Admirals6Chicago Wolves5BLXSommaire du match
107558Chicago Wolves6Cleveland Monsters3AWSommaire du match
108567Utica Comets 5Chicago Wolves1BLSommaire du match
113589Chicago Wolves4San Jose Barracuda2AWSommaire du match
114600Rochester Americans 1Chicago Wolves3BWSommaire du match
119626Tulsa Oilers 1Chicago Wolves5BWSommaire du match
121641Chicago Wolves1Palm Springs 2ALSommaire du match
124656Stockton Heat4Chicago Wolves7BWSommaire du match
126670Chicago Wolves2Binghamton Devils3ALSommaire du match
131691Rockford IceHogs4Chicago Wolves6BWSommaire du match
133709Chicago Wolves6Stockton Heat3AWSommaire du match
136722Stockton Heat4Chicago Wolves6BWSommaire du match
140743Chicago Wolves1Iowa Wild6ALSommaire du match
142755Grand Rapids Griffins3Chicago Wolves4BWXSommaire du match
147780Chicago Wolves3San Antonio Rampage4ALXSommaire du match
148788San Diego Gulls3Chicago Wolves2BLSommaire du match
151802Chicago Wolves4Laval Rocket1AWSommaire du match
153819Wilkes-Barre/Scranton Penguins 5Chicago Wolves3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157833Chicago Wolves3Manitoba Moose6ALSommaire du match
160852Manitoba Moose3Chicago Wolves5BWSommaire du match
167881Chicago Wolves1Rockford IceHogs5ALSommaire du match
168886Hartford Wolf Pack4Chicago Wolves5BWSommaire du match
173914Texas Stars3Chicago Wolves5BWSommaire du match
178939San Antonio Rampage-Chicago Wolves-
181956Chicago Wolves-San Diego Gulls-
185970Charlotte Checkers-Chicago Wolves-
187980Chicago Wolves-Charlotte Checkers-
189990Chicago Wolves-Tulsa Oilers -
1921005Bakersfield Condors-Chicago Wolves-
1951025Chicago Wolves-Lehigh Valley Phantoms-
1991037San Antonio Rampage-Chicago Wolves-
2001047Chicago Wolves-Ontario Reign-
2041067Texas Stars-Chicago Wolves-
2091093Chicago Wolves-Tucson Roadrunners-
2101100Chicago Wolves-Ontario Reign-
2111108Iowa Wild-Chicago Wolves-
2161136Chicago Wolves-Toronto Marlies-
2181140Tucson Roadrunners-Chicago Wolves-
2221162Chicago Wolves-Providence Bruins -
2251177Tucson Roadrunners-Chicago Wolves-
2281197San Jose Barracuda-Chicago Wolves-
2311210Chicago Wolves-Bakersfield Condors-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,768,826$ 3,331,201$ 3,185,701$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,673$ 2,532,942$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 58 20,735$ 1,202,630$




Chicago 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

Chicago 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

Chicago 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

Chicago 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

Chicago 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