Connexion

Chicago Wolves
GP: 5 | W: 1 | L: 4
GF: 14 | GA: 16 | PP%: 26.67% | PK%: 68.75%
DG: Frederic Bergeron | Morale : 1 | Moyenne d’équipe : 63
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Centre de jeu
Charlotte Checkers
6-5-0, 12pts
4
FINAL
1 Chicago Wolves
1-4-0, 2pts
Team Stats
L1StreakL2
4-2-0Home Record1-1-0
2-3-0Away Record0-3-0
5-5-0Last 10 Games1-3-1
3.09Buts par match 2.80
3.18Buts contre par match 3.20
35.48%Pourcentage en avantage numérique26.67%
68.97%Pourcentage en désavantage numérique68.75%
Chicago Wolves
1-4-0, 2pts
3
FINAL
5 Charlotte Checkers
6-5-0, 12pts
Team Stats
L2StreakL1
1-1-0Home Record4-2-0
0-3-0Away Record2-3-0
1-3-1Last 10 Games5-5-0
2.80Buts par match 3.09
3.20Buts contre par match 3.18
26.67%Pourcentage en avantage numérique35.48%
68.75%Pourcentage en désavantage numérique68.97%
Meneurs d'équipe
Buts
Steven Fogarty
3
Passes
Anton Lundell
5
Points
Anton Lundell
6
Plus/Moins
Chris Wideman
4
Victoires
Hunter Shepard
1
Pourcentage d’arrêts
Hunter Shepard
0.899

Statistiques d’équipe
Buts pour
14
2.80 GFG
Tirs pour
194
38.80 Avg
Pourcentage en avantage numérique
26.7%
4 GF
Début de zone offensive
41.3%
Buts contre
16
3.20 GAA
Tirs contre
158
31.60 Avg
Pourcentage en désavantage numérique
68.8%
5 GA
Début de la zone défensive
34.7%
Informations de l'équipe

Directeur généralFrederic Bergeron
EntraîneurDean Evason
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro38
Équipe Mineure19
Limite contact 57 / 100
Espoirs27


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
1Anton Lundell (R)0XX100.007255657670778977707874796246519474702203925,000$
2Seth Jarvis (R)0XX100.007760757968787875617173706062629562692202925,000$
3Sam Carrick0XXX100.0088458868758077697771696961777549416803041,999,000$
4Kyle Clifford0XXX100.0085606562837988625364666860807159756603121,800,000$
5Steven Fogarty0X100.0064469166857474677167666958766853616622931,200,000$
6Brayden Tracey (R)0X100.008160706279888665556761656062627975650212800,000$
7Jonas Rondbjerg (R)0X100.007755617179898868606563656056556651650232800,000$
8Stefan Noesen0X100.0075486864798176655763695964777267666402931,200,000$
9Gage Quinney0XX100.006237876373747358706664656272685166630261900,000$
10Sean Malone 0X100.006550706477807862736959596053538053620274950,000$
11Gemel Smith0XX100.0058458863727877616960605863736857586102830$
12Fabian Zetterlund (R)0XX100.005139916762828163725960595963656631612221809,167$
13Travis Dermott0X100.0074437573788387663067627752716870737022511,500,000$
14Pierre Olivier Joseph0X100.007648877380858467306961745565667665700221833,000$
15Chris Wideman0X100.0080457868678078693065647555796918506813241,999,000$
16Brady Keeper0X100.006759726683878861306060734570675867680261950,000$
17Fredrik Claesson4X100.0059389166778272593060617351787050356602931,200,000$
18Jani Hakanpaa0X100.0072479062938371593058556346776949526503041,999,000$
Rayé
1Jesse Ylonen (R)0X100.007760786969746762586162616062627556610222800,000$
2Patrick Harper (R)0X100.005860626674787659666356596155557419600231925,000$
3Ryan Reaves0XX100.009851736857890605665626659857626205903531,750,000$
4Aatu Raty0X100.00606060606060606060606060606040120560203859,167$
5Brendan Brisson0XXX100.00606060606060606060606060606040120560201750,000$
6Cole Koepke0X100.00606060606060606060606060606040120560242842,500$
7Daniel Torgersson0XX100.00606060606060606060606060606040120560204867,500$
8Denis Smirnov0X100.00606060606060606060606060606040120560241750,000$
9Vasiliy Ponomarev0X100.00606060606060606060606060606040120560203815,000$
10Jan Mysak (R)0XX100.005645605566776955575552555760607420550192850,833$
11Aaron Ness0X100.005439896367726560306259714681715447630321750,000$
12Trevor Carrick0X100.0060498462808277593056575952736856246202731,444,000$
13Layton Ahac (R)0X100.007658726279777252305860616062628721620212897,500$
14Ryan Stanton0X100.006247845577797652305052534580705319590321650,000$
15Justin Barron0X100.00606060606060606060606070606040119580203925,000$
MOYENNE D’ÉQUIPE100.00685274637376746253636165576760504362
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
1Hunter Shepard100.007977787877807978787277525274577302631,333,000$
2Garret Sparks100.007577758474707271717074747857207202831,330,000$
Rayé
1Dustin Tokarski100.007275737471707271707271798554207103231,200,000$
2Hugo Alnefelt100.0065656565656565656565656540120620213850,833$
3Rasmus Korhonen100.0065656565656565656565656540120620191750,000$
MOYENNE D’ÉQUIPE100.0071727173707071707069706759372768
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason82868883847863CAN5621,200,000$


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
1Anton LundellChicago Wolves (GKN)C/LW5156360842110104.76%110220.47022612000010060.00%1034001.1700000000
2Steven FogartyChicago Wolves (GKN)C5336-200471961315.79%08717.42123112000000048.21%11222001.3800000100
3Chris WidemanChicago Wolves (GKN)D52354406682425.00%511923.8011221300007000.00%024000.8400000000
4Kyle CliffordChicago Wolves (GKN)C/LW/RW5224-25512111531113.33%210020.131012120001131083.33%612000.7900001001
5Sam CarrickChicago Wolves (GKN)C/LW/RW522430048156313.33%39719.4310129000010051.88%13321000.8200000010
6Stefan NoesenChicago Wolves (GKN)RW5022-2206613650.00%16212.4801119000000075.00%401000.6400000000
7Travis DermottChicago Wolves (GKN)D5022-480269240.00%1111222.560000800005000.00%006000.3500000000
8Brayden TraceyChicago Wolves (GKN)LW5022-2005916370.00%59218.520110900008000.00%311000.4300000000
9Seth JarvisChicago Wolves (GKN)C/RW5022360242710140.00%29919.83000000000110036.36%3341000.4000000000
10Pierre Olivier JosephChicago Wolves (GKN)D5112-1009511749.09%1013927.82000013000014000.00%027000.2900000001
11Brady KeeperChicago Wolves (GKN)D501111010657130.00%09719.5300000000014000.00%031000.2000011000
12Gemel SmithChicago Wolves (GKN)C/RW5011000313360.00%05110.2200000000030057.14%710000.3900000000
13Jonas RondbjergChicago Wolves (GKN)C5101-2207412278.33%05911.9100000000070044.44%1830000.3400000000
14Fabian ZetterlundChicago Wolves (GKN)C/RW51010000341125.00%1438.790000000000000.00%211000.4500000000
15Jani HakanpaaChicago Wolves (GKN)D5101-1005343125.00%26412.820000000000000.00%012000.3100000000
16Fredrik ClaessonChicago Wolves (GKN)D5000-100254140.00%77815.690000800004000.00%000000.0000000000
17Sean Malone Chicago Wolves (GKN)C5000020633340.00%1438.6600000000000050.00%1600000.0000000000
18Gage QuinneyChicago Wolves (GKN)C/LW5000-220113240.00%25310.790000000000000.00%211000.0000000000
Statistiques d’équipe totales ou en moyenne90142640-547158891194711057.22%53150416.714711141110001941048.84%3462734000.5300012112
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
1Hunter ShepardChicago Wolves (GKN)51310.8993.16304001615864100.000050000
Statistiques d’équipe totales ou en moyenne51310.8993.16304001615864100.000050000


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé 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 10Link
Aaron NessChicago Wolves (GKN)D321990-05-18No184 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Aatu RatyChicago Wolves (GKN)C202002-04-14 07:24:03No185 Lbs6 ft2NoNoNo3Pro & Farm859,167$859,167$0$0$No859,167$859,167$
Anton LundellChicago Wolves (GKN)C/LW202001-10-03 05:19:57Yes185 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Brady KeeperChicago Wolves (GKN)D261996-06-05No209 Lbs7 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien
Brayden TraceyChicago Wolves (GKN)LW212001-05-28 06:58:37Yes177 Lbs6 ft10NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$
Brendan BrissonChicago Wolves (GKN)C/LW/RW202001-10-22 07:25:20No179 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$No
Chris WidemanChicago Wolves (GKN)D321990-01-07 02:57:02No183 Lbs6 ft8NoNoNo4Pro & Farm1,999,000$1,999,000$0$0$No1,999,000$1,999,000$1,999,000$
Cole KoepkeChicago Wolves (GKN)LW241998-05-17 07:26:51No195 Lbs6 ft1NoNoNo2Pro & Farm842,500$842,500$0$0$No842,500$
Daniel TorgerssonChicago Wolves (GKN)LW/RW202002-01-26 07:27:44No199 Lbs6 ft1NoNoNo4Pro & Farm867,500$867,500$0$0$No867,500$867,500$867,500$
Denis SmirnovChicago Wolves (GKN)LW241997-08-12 07:28:40No185 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$No
Dustin TokarskiChicago Wolves (GKN)G321989-09-16No198 Lbs6 ft0NoNoNo3Pro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$Lien
Fabian ZetterlundChicago Wolves (GKN)C/RW221999-08-25Yes195 Lbs5 ft1NoNoNo1Pro & Farm809,167$809,167$0$0$NoLien
Fredrik ClaessonChicago Wolves (GKN)D291992-11-24No196 Lbs6 ft1NoNoNo3Pro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$Lien / Lien NHL
Gage QuinneyChicago Wolves (GKN)C/LW261995-07-29No200 Lbs5 ft11NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien
Garret SparksChicago Wolves (GKN)G281993-06-28No201 Lbs6 ft3NoNoNo3Pro & Farm1,330,000$1,330,000$0$0$No1,330,000$1,330,000$Lien / Lien NHL
Gemel SmithChicago Wolves (GKN)C/RW281994-04-16No196 Lbs5 ft11NoNoNo3Pro & Farm1,455,000$0$0$No1,455,000$1,455,000$Lien / Lien NHL
Hugo AlnefeltChicago Wolves (GKN)G212001-06-04 07:29:47No183 Lbs6 ft3NoNoNo3Pro & Farm850,833$850,833$0$0$No850,833$850,833$
Hunter ShepardChicago Wolves (GKN)G261995-11-07 09:59:04No201 Lbs6 ft1NoNoNo3Pro & Farm1,333,000$1,333,000$0$0$No1,333,000$1,333,000$
Jan MysakChicago Wolves (GKN)C/LW192002-06-24 09:22:30Yes175 Lbs5 ft11NoNoNo2Pro & Farm850,833$850,833$0$0$No850,833$
Jani HakanpaaChicago Wolves (GKN)D301992-03-31No218 Lbs6 ft5NoNoNo4Pro & Farm1,999,000$1,999,000$0$0$No1,999,000$1,999,000$1,999,000$Lien
Jesse YlonenChicago Wolves (GKN)RW221999-10-03 07:05:27Yes167 Lbs6 ft0NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$
Jonas RondbjergChicago Wolves (GKN)C231999-03-31 03:41:32Yes176 Lbs6 ft0NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$
Justin BarronChicago Wolves (GKN)D202001-11-15 07:31:33No195 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Kyle CliffordChicago Wolves (GKN)C/LW/RW311991-01-13No211 Lbs6 ft2NoNoNo2Farm Only1,800,000$1,800,000$0$0$No1,800,000$Lien / Lien NHL
Layton AhacChicago Wolves (GKN)D212001-02-22 09:58:35Yes188 Lbs6 ft2NoNoNo2Pro & Farm897,500$897,500$0$0$No897,500$
Patrick HarperChicago Wolves (GKN)C231998-07-29 10:02:10Yes150 Lbs5 ft7NoNoNo1Pro & Farm925,000$925,000$0$0$No
Pierre Olivier JosephChicago Wolves (GKN)D221999-07-01No185 Lbs6 ft2NoNoNo1Pro & Farm833,000$833,000$0$0$NoLien
Rasmus KorhonenChicago Wolves (GKN)G192002-10-22 07:32:32No194 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$0$0$No
Ryan ReavesChicago Wolves (GKN)LW/RW351987-01-20No225 Lbs6 ft2NoNoNo3Pro & Farm1,750,000$1,750,000$0$0$No1,750,000$1,750,000$Lien / Lien NHL
Ryan StantonChicago Wolves (GKN)D321989-07-20No200 Lbs6 ft1NoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Sam CarrickChicago Wolves (GKN)C/LW/RW301992-02-04No205 Lbs6 ft0NoNoNo4Pro & Farm1,999,000$1,999,000$0$0$No1,999,000$1,999,000$1,999,000$Lien
Sean Malone Chicago Wolves (GKN)C271995-04-30 08:15:40No190 Lbs6 ft0NoNoNo4Pro & Farm950,000$950,000$0$0$No950,000$950,000$950,000$Lien
Seth JarvisChicago Wolves (GKN)C/RW202002-02-01 09:54:39Yes187 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$
Stefan NoesenChicago Wolves (GKN)RW291993-02-12No205 Lbs6 ft1NoNoNo3Pro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$Lien / Lien NHL
Steven FogartyChicago Wolves (GKN)C291993-04-19No208 Lbs6 ft3NoNoNo3Pro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$Lien
Travis DermottChicago Wolves (GKN)D251996-12-22No205 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$1,500,000$0$0$NoLien
Trevor CarrickChicago Wolves (GKN)D271994-07-04No196 Lbs6 ft2NoNoNo3Pro & Farm1,444,000$1,444,000$0$0$No1,444,000$1,444,000$Lien / Lien NHL
Vasiliy PonomarevChicago Wolves (GKN)C202002-03-13 07:34:22No180 Lbs5 ft10NoNoNo3Pro & Farm815,000$815,000$0$0$No815,000$815,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3825.13192 Lbs6 ft12.341,094,329$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anton LundellSam CarrickSeth Jarvis38113
2Brayden TraceySteven FogartyKyle Clifford32122
3Gage QuinneyJonas RondbjergStefan Noesen19023
4Fabian ZetterlundSean Malone Gemel Smith11122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre Olivier JosephTravis Dermott38113
2Brady KeeperChris Wideman34122
3Fredrik ClaessonJani Hakanpaa19122
4Pierre Olivier JosephChris Wideman9122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anton LundellSteven FogartyKyle Clifford57104
2Brayden TraceySam CarrickStefan Noesen43005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanPierre Olivier Joseph60113
2Fredrik ClaessonTravis Dermott40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Seth JarvisKyle Clifford55140
2Jonas RondbjergBrayden Tracey45140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady KeeperPierre Olivier Joseph60140
2Chris WidemanTravis Dermott40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Seth Jarvis52050Brady KeeperPierre Olivier Joseph60140
2Kyle Clifford48050Chris WidemanTravis Dermott40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Steven FogartyGage Quinney60113
2Kyle CliffordBrayden Tracey40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre Olivier JosephChris Wideman60122
2Fredrik ClaessonTravis Dermott40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anton LundellSeth JarvisKyle CliffordPierre Olivier JosephChris Wideman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brayden TraceySeth JarvisKyle CliffordTravis DermottPierre Olivier Joseph
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Seth Jarvis, Gage Quinney, Gemel SmithSeth Jarvis, Gage QuinneyGemel Smith
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Pierre Olivier Joseph, Travis Dermott, Brady KeeperChris WidemanChris Wideman, Travis Dermott
Tirs de pénalité
Seth Jarvis, Gemel Smith, Kyle Clifford, Brayden Tracey, Stefan Noesen
Gardien
#1 : Hunter Shepard, #2 : Garret Sparks
Lignes d’attaque personnalisées en prolongation
Seth Jarvis, Anton Lundell, Kyle Clifford, Brayden Tracey, Stefan Noesen, Sean Malone , Sean Malone , Steven Fogarty, Gage Quinney, Sam Carrick, Gemel Smith
Lignes de défense personnalisées en prolongation
Pierre Olivier Joseph, Chris Wideman, Fredrik Claesson, Brady Keeper, Travis Dermott


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
1Charlotte Checkers514000001416-22110000075230300000711-420.200142640005540194687252215853478815426.67%16568.75%07914355.24%5912049.17%318337.35%1156899439046
Total514000001416-22110000075230300000711-420.200142640005540194687252215853478815426.67%16568.75%07914355.24%5912049.17%318337.35%1156899439046
_Since Last GM Reset514000001416-22110000075230300000711-420.200142640005540194687252215853478815426.67%16568.75%07914355.24%5912049.17%318337.35%1156899439046
_Vs Conference514000001416-22110000075230300000711-420.200142640005540194687252215853478815426.67%16568.75%07914355.24%5912049.17%318337.35%1156899439046

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L214264019415853478800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001416
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000075
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000711
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15426.67%16568.75%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
68725225540
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
7914355.24%5912049.17%318337.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1156899439046


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
2 - 2021-10-135Chicago Wolves1Charlotte Checkers2ALXSommaire du match
4 - 2021-10-1513Chicago Wolves3Charlotte Checkers4ALSommaire du match
6 - 2021-10-1721Charlotte Checkers1Chicago Wolves6BWSommaire du match
8 - 2021-10-1929Charlotte Checkers4Chicago Wolves1BLSommaire du match
10 - 2021-10-2137Chicago Wolves3Charlotte Checkers5ALSommaire du match



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 4,158,450$ 4,012,950$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Chicago Wolves Leaders statistiques (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 (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