Connexion

Chicago Wolves
GP: 30 | W: 17 | L: 13 | OTL: 0 | P: 34
GF: 117 | GA: 105 | PP%: 37.18% | PK%: 62.64%
DG: Jörgen Knutsson | Morale : 44 | Moyenne d’équipe : 48
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Centre de jeu
Chicago Wolves
17-13-0, 34pts
6
FINAL
5 Ontario Reign
17-8-5, 39pts
Team Stats
L1SéquenceW1
8-7-0Fiche domicile8-5-2
9-6-0Fiche domicile9-3-3
4-6-0Derniers 10 matchs4-2-4
3.90Buts par match 3.60
3.50Buts contre par match 3.40
37.18%Pourcentage en avantage numérique43.42%
62.64%Pourcentage en désavantage numérique56.92%
Chicago Wolves
17-13-0, 34pts
3
FINAL
4 Bakersfield Condors
13-11-6, 32pts
Team Stats
L1SéquenceW2
8-7-0Fiche domicile6-7-2
9-6-0Fiche domicile7-4-4
4-6-0Derniers 10 matchs5-4-1
3.90Buts par match 3.47
3.50Buts contre par match 3.63
37.18%Pourcentage en avantage numérique41.76%
62.64%Pourcentage en désavantage numérique59.55%
Meneurs d'équipe
Vasily PonomarevButs
Vasily Ponomarev
23
Brendan LemieuxPasses
Brendan Lemieux
32
Brendan LemieuxPoints
Brendan Lemieux
47
Plus/Moins
Tuukka Tieksola
16
Dylan WellsVictoires
Dylan Wells
11
Dylan WellsPourcentage d’arrêts
Dylan Wells
0.902

Statistiques d’équipe
Buts pour
117
3.90 GFG
Tirs pour
820
27.33 Avg
Pourcentage en avantage numérique
37.2%
29 GF
Début de zone offensive
35.6%
Buts contre
105
3.50 GAA
Tirs contre
883
29.43 Avg
Pourcentage en désavantage numérique
62.6%%
34 GA
Début de la zone défensive
33.7%
Informations de l'équipe

Directeur généralJörgen Knutsson
EntraîneurRod Brind'Amour
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,782
Billets de saison0


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 60
Espoirs29


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
1Brendan Lemieux0X96.0096994650867967604063566630534835656102811,350,000$
2Anton Levtchi0X97.005030995456726153305253523037422965520281842,500$
3Adam Gaudette0X99.004434684664708459354653503055463319510271775,000$
4Jamieson Rees (R)0X97.003148455846618456405043383031336463470232839,167$
5Austin Poganski0X97.005630873472618948304336543037413343460281775,000$
6Tuukka Tieksola (R)0X98.003030945347617346354840493031336266460222823,333$
7Ryan Suzuki (R)0X100.004530934962527249404541373031336558450222863,333$
8Noel Gunler (R)0X97.003030965354526041303839373031336560420223862,500$
9Alexander Pashin (R)0X100.002930975627596942303432373030326643400213826,667$
10Blake Murray (R)0X100.003730994361434634403631383031336031390222791,667$
11Scott Harrington0X100.006433955475827263355958723055522942620311780,000$
12Gabriel Carlsson0X96.005233765974778453306150593040414238570271775,000$
13Griffin Mendel0X100.007130913093609044303737403033364955490251775,000$
14Anttoni Honka (R)0X100.003030925152658951304834433032355957470233836,667$
15Ronan Seeley (R)0X97.004130994664658947304432383030326557470213810,000$
16Cole Clayton (R)0X100.005936743378566938303533423032355451450241775,000$
17Simon Kubicek (R)0X100.004430973667413230303030393031335935390221775,000$
Rayé
1Callahan Burke0X95.005130945651709055355351773035393960550271775,000$
2Vasily Ponomarev (R)0X94.003230845750608460404855403030327171490223795,000$
3Ville Koivunen (R)0X100.003030994948493930402930403029307730370201775,000$
4Liam Kirk (R)0X100.003330843956403030303030413032345431360242775,000$
5Dylan Coghlan0X81.535935995277754856305950603041404448560261775,000$
MOYENNE D’ÉQUIPE97.48463587486261694834454248303637524948
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
1Dylan Wells0100.00646850705853646663595034464480570261775,000$
2Kevin Poulin097.00367354783647444342304347682957470341775,000$
Rayé
1Jussi Olkinuora0100.00336342763240373946303041653025430331775,000$
MOYENNE D’ÉQUIPE99.0044684975424748495040414160345449
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rod Brind'Amour2525252512550CAN521500,000$


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
1Brendan LemieuxChicago Wolves (CAR)LW30153247063159268112347813.39%2066122.067111815580442374042.00%502315001.4200120423
2Vasily PonomarevChicago Wolves (CAR)C292318417120466794396324.47%1658020.02781515483033484246.66%6281412011.4100000422
3Anton LevtchiChicago Wolves (CAR)LW301614301040444992306317.39%1857419.162465441014361145.45%11179001.0400000027
4Callahan BurkeChicago Wolves (CAR)RW2972027-340536263254911.11%1458720.25212144540000202045.83%961415000.9200000102
5Tuukka TieksolaChicago Wolves (CAR)RW301312251620185170133818.57%1446615.56000017000001152.38%21138001.0711000230
6Jamieson ReesChicago Wolves (CAR)C301111228320614277205514.29%1351417.144154331013192047.00%217215010.8600000220
7Dylan CoghlanChicago Wolves (CAR)D261161770028494820242.08%3259422.88145641011250000%0922000.5700000000
8Ryan SuzukiChicago Wolves (CAR)C30491362033294423369.09%939413.1400001000071050.36%139124000.6600000000
9Noel GunlerChicago Wolves (CAR)RW309312820132722101140.91%532910.980000200000119.09%1148000.7300000211
10Seth JarvisCarolina HurricanesLW87411-61010172243131816.28%919824.792242140001130043.75%25672101.1100101001
11Adam GaudetteChicago Wolves (CAR)LW954918020181871527.78%114716.3610114011250062.50%853001.2200000010
12Scott HarringtonChicago Wolves (CAR)D18099-22020353018120%3038621.50000018000015000%0188000.4700000000
13Gabriel CarlssonChicago Wolves (CAR)D21178-1028028273214203.13%1943320.651232360000260033.33%3910000.3700000000
14Griffin MendelChicago Wolves (CAR)D30178780583216796.25%2061420.49112137000044000%008000.2600000000
15Ronan SeeleyChicago Wolves (CAR)D30077150013168260%2456218.75011030000048000%0413000.2500000000
16Anttoni HonkaChicago Wolves (CAR)D30066160072914580%2254118.03011131000239000%0513000.2200000000
17Austin PoganskiChicago Wolves (CAR)RW23336040444618111216.67%540817.751231320001321030.30%3328000.2900000110
18Cole ClaytonChicago Wolves (CAR)D23044018022145630%635215.33011015000020000%013000.2300000000
19Liam KirkChicago Wolves (CAR)LW11112240211061716.67%413912.6800000000012000%201000.2900000000
20Simon KubicekChicago Wolves (CAR)D13022-100621010%613310.300000000000000%010000.3000000000
21Blake MurrayChicago Wolves (CAR)LW18011100376260%0985.4800000000030050.00%210000.2000000000
22Ville KoivunenChicago Wolves (CAR)C16000-200480010%11006.26000020000100047.50%400400000000000
23Alexander PashinChicago Wolves (CAR)RW26000-400021120%0682.620000000000000%20000000000000
Statistiques d’équipe totales ou en moyenne540117190307762032565171282030153714.27%288888916.462950795752756112049117545.75%1519180171120.6911221161416
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
1Dylan WellsChicago Wolves (CAR)1811500.9023.101007205253033840001614131
2Kevin PoulinChicago Wolves (CAR)156800.8504.00795005335322200001416001
Statistiques d’équipe totales ou en moyenne33171300.8813.491803201058835604003030132


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 Forcer UFA Rappel d'urgence Type Salaire actuel Plafond 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
Adam Gaudette (contrat à 1 volet)Chicago Wolves (CAR)LW271996-10-03No194 Lbs6 ft1NoNoWaiver2024-03-28NoYes12024-02-04FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Alexander PashinChicago Wolves (CAR)RW212002-07-28Yes154 Lbs5 ft8NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm826,667$0$0$No826,667$826,667$-------NoNo-------Lien / Lien NHL
Anton LevtchiChicago Wolves (CAR)LW281995-11-28No185 Lbs6 ft0NoNoFree AgentNoNo12024-02-26FalseFalsePro & Farm842,500$0$0$No------------------Lien NHL
Anttoni HonkaChicago Wolves (CAR)D232000-10-05Yes181 Lbs5 ft11NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm836,667$0$0$No836,667$836,667$-------NoNo-------Lien / Lien NHL
Austin PoganskiChicago Wolves (CAR)RW281996-02-16No205 Lbs6 ft1NoNoFree AgentNoNo12024-03-20FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Blake MurrayChicago Wolves (CAR)LW222001-07-05Yes187 Lbs6 ft2NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm791,667$0$0$No791,667$--------No--------Lien
Brendan Lemieux (contrat à 1 volet)Chicago Wolves (CAR)LW281996-03-15No215 Lbs6 ft1NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm1,350,000$200,000$5,333$No------------------Lien / Lien NHL
Callahan BurkeChicago Wolves (CAR)RW271997-03-19No183 Lbs5 ft10NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Cole ClaytonChicago Wolves (CAR)D242000-02-28Yes209 Lbs6 ft2NoNoFree AgentNoNo12024-03-20FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Dylan Coghlan (contrat à 1 volet)Chicago Wolves (CAR)D261998-02-19No208 Lbs6 ft2NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Dylan WellsChicago Wolves (CAR)G261998-01-03No190 Lbs6 ft2NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Gabriel CarlssonChicago Wolves (CAR)D271997-01-02No195 Lbs6 ft5NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Griffin MendelChicago Wolves (CAR)D251999-02-18No220 Lbs6 ft6NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Jamieson ReesChicago Wolves (CAR)C232001-02-26Yes172 Lbs5 ft11NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm839,167$0$0$No839,167$--------No--------Lien / Lien NHL
Jussi OlkinuoraChicago Wolves (CAR)G331990-11-04No201 Lbs6 ft2NoNoFree AgentNoNo12024-02-26FalseFalsePro & Farm775,000$0$0$No------------------
Kevin PoulinChicago Wolves (CAR)G341990-04-12No206 Lbs6 ft2NoNoFree AgentNoNo12024-02-26FalseFalsePro & Farm775,000$0$0$No------------------Lien NHL
Liam KirkChicago Wolves (CAR)LW242000-01-03Yes183 Lbs6 ft1NoNoFree AgentNoNo22024-03-17FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------
Noel GunlerChicago Wolves (CAR)RW222001-10-07Yes176 Lbs6 ft2NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm862,500$0$0$No862,500$862,500$-------NoNo-------Lien / Lien NHL
Ronan SeeleyChicago Wolves (CAR)D212002-08-02Yes192 Lbs6 ft1NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm810,000$0$0$No810,000$810,000$-------NoNo-------Lien
Ryan SuzukiChicago Wolves (CAR)C222001-05-28Yes190 Lbs6 ft1NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm863,333$0$0$No863,333$--------No--------Lien / Lien NHL
Scott HarringtonChicago Wolves (CAR)D311993-03-10No204 Lbs6 ft2NoNoFree AgentNoNo12024-02-23FalseFalsePro & Farm780,000$0$0$No------------------Lien NHL
Simon KubicekChicago Wolves (CAR)D222001-12-19Yes194 Lbs6 ft2NoNoFree AgentNoNo12024-03-20FalseFalsePro & Farm775,000$0$0$No------------------
Tuukka TieksolaChicago Wolves (CAR)RW222001-06-22Yes174 Lbs5 ft11NoNoFree AgentNoNo22024-02-03FalseFalsePro & Farm823,333$0$0$No823,333$--------No--------Lien
Vasily PonomarevChicago Wolves (CAR)C222002-03-13Yes181 Lbs5 ft10NoNoFree AgentNoNo32024-02-03FalseFalsePro & Farm795,000$0$0$No795,000$795,000$-------NoNo-------Lien / Lien NHL
Ville KoivunenChicago Wolves (CAR)C202003-06-13Yes172 Lbs6 ft0NoNoFree AgentNoNo12024-02-03FalseFalsePro & Farm775,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.12191 Lbs6 ft11.60819,833$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxNoel Gunler40122
2Anton LevtchiJamieson ReesAustin Poganski30122
3Adam GaudetteRyan SuzukiTuukka Tieksola20122
4Anton LevtchiBrendan LemieuxNoel Gunler10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott HarringtonGabriel Carlsson40122
2Anttoni HonkaRonan Seeley30122
3Cole ClaytonGriffin Mendel20122
4Gabriel CarlssonRonan Seeley10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxAdam GaudetteTuukka Tieksola60122
2Anton LevtchiJamieson ReesAustin Poganski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole ClaytonGabriel Carlsson60122
2Anttoni HonkaRonan Seeley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Austin PoganskiBrendan Lemieux60122
2Jamieson ReesAnton Levtchi40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gabriel CarlssonCole Clayton60122
2Anttoni HonkaRonan Seeley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anton Levtchi60122Gabriel CarlssonCole Clayton60122
2Jamieson Rees40122Anttoni HonkaRonan Seeley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brendan LemieuxAustin Poganski60122
2Jamieson ReesAnton Levtchi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cole ClaytonGabriel Carlsson60122
2Anttoni HonkaRonan Seeley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxAdam GaudetteAnton LevtchiScott HarringtonGabriel Carlsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxAdam GaudetteAnton LevtchiScott HarringtonGabriel Carlsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Austin Poganski, Jamieson Rees, Tuukka TieksolaAustin Poganski, Jamieson ReesAustin Poganski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ronan Seeley, Cole Clayton, Anttoni HonkaRonan SeeleyRonan Seeley, Cole Clayton
Tirs de pénalité
Jamieson Rees, Brendan Lemieux, Anton Levtchi, Tuukka Tieksola, Austin Poganski
Gardien
#1 : Kevin Poulin, #2 : Dylan Wells
Lignes d’attaque personnalisées en prolongation
Brendan Lemieux, , Anton Levtchi, Alexander Pashin, Austin Poganski, Jamieson Rees, Jamieson Rees, Tuukka Tieksola, Ryan Suzuki, Noel Gunler, Adam Gaudette
Lignes de défense personnalisées en prolongation
Scott Harrington, Gabriel Carlsson, Anttoni Honka, Ronan Seeley, Cole Clayton


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
1Abbotsford Canucks20200000714-71010000045-11010000039-600.00071320002054412541793003365732328407228.57%14657.14%025053846.47%23750946.56%20846544.73%570269602305634315
2Bakersfield Condors2020000059-41010000025-31010000034-100.0005813002054412411793003365641514448112.50%7614.29%025053846.47%23750946.56%20846544.73%570269602305634315
3Calgary Wranglers20101000990100010007611010000023-120.5009152400205441276179300336567192434250.00%110.00%025053846.47%23750946.56%20846544.73%570269602305634315
4Coachella Valley Firebirds2110000037-4110000002111010000016-520.500347002054412401793003365411112463133.33%6350.00%025053846.47%23750946.56%20846544.73%570269602305634315
5Colorado Eagles2110000013851010000045-11100000093620.500132235002054412621793003365662516565120.00%3166.67%025053846.47%23750946.56%20846544.73%570269602305634315
6Henderson Silver Knights211000005501010000023-11100000032120.5005914002054412631793003365722318305240.00%9277.78%025053846.47%23750946.56%20846544.73%570269602305634315
7Iowa Wild2020000059-41010000025-31010000034-100.0005712002054412421793003365582016406233.33%8450.00%025053846.47%23750946.56%20846544.73%570269602305634315
8Manitoba Moose22000000835110000004131100000042241.0008132100205441253179300336542128437457.14%40100.00%025053846.47%23750946.56%20846544.73%570269602305634315
9Milwaukee Admirals21100000862110000005231010000034-120.5008142200205441267179300336566208577457.14%4175.00%025053846.47%23750946.56%20846544.73%570269602305634315
10Ontario Reign2200000014113110000008621100000065141.000142438002054412681793003365583213403266.67%4250.00%025053846.47%23750946.56%20846544.73%570269602305634315
11Rockford IceHogs211000007611010000015-41100000061520.50071017002054412561793003365742118414125.00%9277.78%125053846.47%23750946.56%20846544.73%570269602305634315
12San Diego Gulls22000000853110000006421100000021141.0008111900205441251179300336563196495240.00%4250.00%025053846.47%23750946.56%20846544.73%570269602305634315
13San Jose Barracuda21001000523100010002111100000031241.0005813002054412601793003365592015364125.00%50100.00%125053846.47%23750946.56%20846544.73%570269602305634315
14Texas Stars211000009721010000024-21100000073420.50091524002054412461793003365351614543133.33%7357.14%125053846.47%23750946.56%20846544.73%570269602305634315
15Tucson Roadrunners220000001147110000007251100000042241.000111728002054412411793003365451217327342.86%6183.33%225053846.47%23750946.56%20846544.73%570269602305634315
Total30151302000117105121567020005855315960000059509340.5671171903070020544128201793003365883288205651782937.18%913462.64%525053846.47%23750946.56%20846544.73%570269602305634315
_Since Last GM Reset30151302000117105121567020005855315960000059509340.5671171903070020544128201793003365883288205651782937.18%913462.64%525053846.47%23750946.56%20846544.73%570269602305634315
_Vs Conference30151302000117105121567020005855315960000059509340.5671171903070020544128201793003365883288205651782937.18%913462.64%525053846.47%23750946.56%20846544.73%570269602305634315
_Vs Division148600000614318734000002524175200000361917160.5716198159002054412367179300336538612697323391641.03%411270.73%425053846.47%23750946.56%20846544.73%570269602305634315

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3034L111719030782088328820565100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3015132000117105
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
156720005855
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
159600005950
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
782937.18%913462.64%5
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
17930033652054412
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
25053846.47%23750946.56%20846544.73%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
570269602305634315


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
314Calgary Wranglers6Chicago Wolves7WXSommaire du match
527Chicago Wolves9Colorado Eagles3WSommaire du match
844Ontario Reign6Chicago Wolves8WSommaire du match
1065Chicago Wolves3Abbotsford Canucks9LSommaire du match
1278Chicago Wolves2Calgary Wranglers3LSommaire du match
1486Colorado Eagles5Chicago Wolves4LSommaire du match
16105Abbotsford Canucks5Chicago Wolves4LSommaire du match
20131San Diego Gulls4Chicago Wolves6WSommaire du match
25161Rockford IceHogs5Chicago Wolves1LSommaire du match
27171Chicago Wolves1Coachella Valley Firebirds6LSommaire du match
31197Milwaukee Admirals2Chicago Wolves5WSommaire du match
33209Chicago Wolves3Iowa Wild4LSommaire du match
34223Manitoba Moose1Chicago Wolves4WSommaire du match
39256Tucson Roadrunners2Chicago Wolves7WSommaire du match
42277Chicago Wolves6Rockford IceHogs1WSommaire du match
44287Coachella Valley Firebirds1Chicago Wolves2WSommaire du match
47307Chicago Wolves4Tucson Roadrunners2WSommaire du match
49320San Jose Barracuda1Chicago Wolves2WXSommaire du match
51331Chicago Wolves3Henderson Silver Knights2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
53342Chicago Wolves2San Diego Gulls1WSommaire du match
54354Texas Stars4Chicago Wolves2LSommaire du match
56368Chicago Wolves7Texas Stars3WSommaire du match
59386Chicago Wolves3San Jose Barracuda1WSommaire du match
60392Bakersfield Condors5Chicago Wolves2LSommaire du match
64418Iowa Wild5Chicago Wolves2LSommaire du match
67434Chicago Wolves3Milwaukee Admirals4LSommaire du match
69444Henderson Silver Knights3Chicago Wolves2LSommaire du match
70453Chicago Wolves4Manitoba Moose2WSommaire du match
72464Chicago Wolves6Ontario Reign5WSommaire du match
73473Chicago Wolves3Bakersfield Condors4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance27,75113,984
Assistance PCT92.50%93.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2782 - 92.74% 117,317$1,759,758$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,195,372$ 1,759,584$ 1,759,584$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,702,114$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 30,535$ 30,535$




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