Connexion

Chicago Wolves
GP: 72 | W: 32 | L: 31 | OTL: 9 | P: 73
GF: 133 | GA: 160 | PP%: 31.43% | PK%: 69.53%
DG: Erik Beheim | Morale : 45 | Moyenne d’équipe : 57
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Centre de jeu
Chicago Wolves
32-31-9, 73pts
0
FINAL
2 San Jose Barracuda
44-23-5, 93pts
Team Stats
L4SéquenceW2
15-17-4Fiche domicile21-12-3
17-14-5Fiche domicile23-11-2
4-6-0Derniers 10 matchs7-3-0
1.85Buts par match 3.10
2.22Buts contre par match 2.38
31.43%Pourcentage en avantage numérique37.70%
69.53%Pourcentage en désavantage numérique70.22%
Coachella Valley Firebirds
36-24-12, 84pts
2
FINAL
0 Chicago Wolves
32-31-9, 73pts
Team Stats
W1SéquenceL4
21-9-6Fiche domicile15-17-4
15-15-6Fiche domicile17-14-5
6-4-0Derniers 10 matchs4-6-0
2.29Buts par match 1.85
2.43Buts contre par match 2.22
34.42%Pourcentage en avantage numérique31.43%
70.62%Pourcentage en désavantage numérique69.53%
Meneurs d'équipe
Buts
Lukas Sedlak
25
Jack DruryPasses
Jack Drury
36
Jack DruryPoints
Jack Drury
59
Plus/Moins
Ville Koivunen
0
Felix SandstromVictoires
Felix Sandstrom
32
Pourcentage d’arrêts
Jack LaFontaine
0.957

Statistiques d’équipe
Buts pour
133
1.85 GFG
Tirs pour
1438
19.97 Avg
Pourcentage en avantage numérique
31.4%
44 GF
Début de zone offensive
34.6%
Buts contre
160
2.22 GAA
Tirs contre
1971
27.38 Avg
Pourcentage en désavantage numérique
69.5%%
39 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur généralErik Beheim
EntraîneurRod Brind'Amour
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,488
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 60
Espoirs26


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
1Lukas Sedlak0XXX100.008445886674625970687563742565666277660301750,000$
2Vasili Ponomaryov (R)0X100.007165837668717365816166606247476272620212815,000$
3Ryan Suzuki (R)0X100.007567888070606063785965616047476181610222863,333$
4Jack Drury (R)0X100.006140907466579071646760612550505977600232925,000$
5Noel Gunler (R)0X100.007367887170504760505661615947475963580223862,500$
6Jamieson Rees (R)0X100.006565606768757961786158555647475877580222839,167$
7Jordy Bellerive0X100.007169736672606251664752575047475366550241800,000$
8Tuukka Tieksola (R)0X100.006859896962585956505455575347475666550222823,333$
9Stelio Mattheos0XX100.007171716774575947634744564547475066540241775,000$
10Anthony Vincent (R)0XXX100.007170836570474744604441564247474861520261750,000$
11Alexander Pashin (R)0XXX100.006354926957586146614344534547474962510213826,667$
12Ville Koivunen (R)0X100.006760916762525542503644544447464863510204828,333$
13Jalen Chatfield0X100.007553876870648656255052742563635778620272762,500$
14Maxime Lajoie0X100.007272706372768160255350644855565673600261750,000$
15Anttoni Honka (R)0X100.007063896966737951254641584047475264570233836,667$
16Cavan Fitzgerald0X100.007472826572586150254143613957574959570271750,000$
17Adam Clendening0X100.007070706370575852254740613958595050560311750,000$
18Andrew Nielsen0X100.008183806283373740252538623758584552540271750,000$
Rayé
1Peter Abbandonato0X100.007769946569636462786356655344446320590251775,000$
2Zach Senyshyn0X100.007875866375758153504754645145455920580261775,000$
3Pontus Andreasson (R)0XX100.007165856665707456705058615544446120560251850,000$
4Josh Maniscalco (R)0X100.008076886376596345253441623944445220550241860,000$
5Mitchell Vande Sompel (R)0X100.007270776270545552254643604144445420540261775,000$
MOYENNE D’ÉQUIPE100.00726583677061655451505161455050555757
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
1Felix Sandstrom (R)0100.00606461766557726468607549495881630262775,000$
2Jack LaFontaine (R)0100.00666062925660626155585444445579610251750,000$
Rayé
1Eetu Makiniemi (R)0100.00494455685053505454533044445120510241867,500$
MOYENNE D’ÉQUIPE100.0058565979575761605957534646556058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rod Brind'Amour60606060996050CAN541500,000$


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
1Jack DruryChicago Wolves (CAR)C72233659-960661161938113111.92%49156721.7672027191030003855150.76%9816043000.75010000387
2Lukas SedlakChicago Wolves (CAR)C/LW/RW72252954-152525781112006710612.50%34155821.6491221171040002846251.68%1495843100.6900131575
3Vasili PonomaryovChicago Wolves (CAR)C72172643-2118012089155204801258.33%34157621.90381111880004773356.77%13375637010.555156810502
4Ryan SuzukiChicago Wolves (CAR)C72192039-811185951181806710810.56%25140319.499101917990004743257.83%4344721000.56715557421
5Jamieson ReesChicago Wolves (CAR)C7291625-231611251069983194210.84%23136018.895611988000021147.83%691014000.37126613011
6Jalen ChatfieldChicago Wolves (CAR)D7251722-26050661349027415.56%93180325.053478104000290020%01667100.2400415212
7Noel GunlerChicago Wolves (CAR)RW7281018-79250766611637756.90%24125417.42246790000011048.65%372324000.2912343024
8Maxime LajoieChicago Wolves (CAR)D7211617-320211069956920291.45%86164322.8212349700005100%01249000.2101787011
9Jordy BelleriveChicago Wolves (CAR)C726511-513870949537103616.22%20125317.400000150001130060.92%87720000.1825455011
10Tuukka TieksolaChicago Wolves (CAR)RW726511-7252572817728437.79%18114715.94101115000001045.83%241919000.1936014030
11Cavan FitzgeraldChicago Wolves (CAR)D72426-25686057993725910.81%51131118.224158106000195100%0736000.0900354001
12Stelio MattheosChicago Wolves (CAR)C/RW72066-8684073925814240%20109615.2300002000000040.00%201717000.1101224002
13Anttoni HonkaChicago Wolves (CAR)D72033-7936539872718160%54139419.37000295000014000%01134000.0400346000
14Adam ClendeningChicago Wolves (CAR)D72022-1319112559843616140%63140119.46000011000277000%0944000.03007117000
15Alexander PashinChicago Wolves (CAR)C/LW/RW72011-30019258510%54816.690000170001190054.17%2426000.0411000000
16Andrew NielsenChicago Wolves (CAR)D72000-2679554485191090%54115015.9800004000183000%073700000146000
17Anthony VincentChicago Wolves (CAR)C/LW/RW72000-4001384130%02112.9300002000030020.00%50100000000000
18Ville KoivunenChicago Wolves (CAR)RW72000000000000%0290.400000000000000%00000001000000
Statistiques d’équipe totales ou en moyenne1296123194317-186149910051115155014385258128.55%6532164516.704467111103104800021728221154.37%3167361512210.292059526782192627
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
1Felix SandstromChicago Wolves (CAR)72323190.9222.0843550615119451178130.750607201393
2Jack LaFontaineChicago Wolves (CAR)10000.9571.713500123140000072000
Statistiques d’équipe totales ou en moyenne73323190.9232.0843900615219681192136072721393


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 ClendeningChicago Wolves (CAR)D311992-12-31No194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Alexander PashinChicago Wolves (CAR)C/LW/RW212002-12-31Yes154 Lbs5 ft8NoNoN/ANoNo3FalseFalsePro & Farm826,667$0$0$No826,667$826,667$-------NoNo-------
Andrew NielsenChicago Wolves (CAR)D271996-12-31No224 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Anthony VincentChicago Wolves (CAR)C/LW/RW261997-12-31Yes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Anttoni HonkaChicago Wolves (CAR)D232000-12-31Yes178 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm836,667$0$0$No836,667$836,667$-------NoNo-------
Cavan FitzgeraldChicago Wolves (CAR)D271996-12-31No196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Eetu MakiniemiChicago Wolves (CAR)G241999-12-31Yes176 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm867,500$0$0$No------------------Lien / Lien NHL
Felix SandstromChicago Wolves (CAR)G261997-12-31 13:44:19Yes192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------Lien / Lien NHL
Jack DruryChicago Wolves (CAR)C232000-12-31Yes174 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------Lien / Lien NHL
Jack LaFontaineChicago Wolves (CAR)G251998-12-31 18:09:10Yes209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------
Jalen ChatfieldChicago Wolves (CAR)D271996-12-31No188 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Jamieson ReesChicago Wolves (CAR)C222001-12-31Yes182 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm839,167$0$0$No839,167$--------No--------Lien / Lien NHL
Jordy BelleriveChicago Wolves (CAR)C241999-12-31No195 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------Lien / Lien NHL
Josh ManiscalcoChicago Wolves (CAR)D241999-12-31Yes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm860,000$0$0$No------------------Lien
Lukas SedlakChicago Wolves (CAR)C/LW/RW301993-12-31No205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Maxime LajoieChicago Wolves (CAR)D261997-12-31No196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Mitchell Vande SompelChicago Wolves (CAR)D261997-12-31Yes198 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------
Noel GunlerChicago Wolves (CAR)RW222001-12-31Yes176 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm862,500$0$0$No862,500$862,500$-------NoNo-------Lien / Lien NHL
Peter AbbandonatoChicago Wolves (CAR)C251998-12-31No194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Pontus AndreassonChicago Wolves (CAR)C/LW251998-12-31Yes182 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------Lien
Ryan SuzukiChicago Wolves (CAR)C222001-12-31Yes180 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm863,333$0$0$No863,333$--------No--------Lien / Lien NHL
Stelio MattheosChicago Wolves (CAR)C/RW241999-12-31No194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Tuukka TieksolaChicago Wolves (CAR)RW222001-12-31Yes160 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm823,333$0$0$No823,333$--------No--------
Vasili PonomaryovChicago Wolves (CAR)C212002-12-31Yes181 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm815,000$0$0$No815,000$--------No--------Lien
Ville KoivunenChicago Wolves (CAR)RW202003-12-31Yes161 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm828,333$0$0$No828,333$828,333$828,333$------NoNoNo------
Zach SenyshynChicago Wolves (CAR)RW261997-12-31No205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.58188 Lbs6 ft01.62803,269$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas SedlakVasili PonomaryovJamieson Rees37113
2Noel GunlerJack DruryJordy Bellerive30113
3Tuukka TieksolaRyan SuzukiStelio Mattheos23122
4Ryan SuzukiVasili PonomaryovJack Drury10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldMaxime Lajoie45122
2Adam ClendeningAnttoni Honka33122
3Cavan FitzgeraldAndrew Nielsen22122
4Cavan FitzgeraldJalen Chatfield0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan SuzukiJack DruryLukas Sedlak60122
2Noel GunlerVasili PonomaryovJamieson Rees40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldCavan Fitzgerald50122
2Maxime LajoieAnttoni Honka50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack DruryRyan Suzuki50122
2Vasili PonomaryovLukas Sedlak50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cavan FitzgeraldJalen Chatfield50122
2Adam ClendeningAndrew Nielsen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Drury50122Maxime LajoieCavan Fitzgerald50122
2Vasili Ponomaryov50122Jalen ChatfieldAnttoni Honka50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack DruryLukas Sedlak50122
2Vasili PonomaryovRyan Suzuki50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldMaxime Lajoie50122
2Cavan FitzgeraldAdam Clendening50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas SedlakJack DruryRyan SuzukiJalen ChatfieldMaxime Lajoie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas SedlakJack DruryRyan SuzukiJalen ChatfieldMaxime Lajoie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Drury, Vasili Ponomaryov, Ryan SuzukiJack Drury, Vasili PonomaryovJack Drury
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jalen Chatfield, Cavan Fitzgerald, Maxime LajoieCavan FitzgeraldAndrew Nielsen, Cavan Fitzgerald
Tirs de pénalité
Vasili Ponomaryov, Ryan Suzuki, Jack Drury, Tuukka Tieksola, Jordy Bellerive
Gardien
#1 : Felix Sandstrom, #2 : Jack LaFontaine


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 Canucks21000001541110000002021000000134-130.750581301254153244533352056578481580294250.00%5340.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
2Bakersfield Condors2110000045-11010000014-31100000031220.500481200254153244733352056578551933313133.33%40100.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
3Belleville Senators2010001034-1100000103211010000002-220.50032500254153243533352056578521148395240.00%40100.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
4Bridgeport Islanders201000103301010000012-11000001021120.5003250025415324423335205657849818262150.00%4175.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
5Calgary Wranglers2010001034-1100000102111010000013-220.50033610254153243933352056578673152353133.33%10100.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
6Charlotte Checkers2020000015-41010000013-21010000002-200.000112102541532430333520565784991421200.00%2150.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
7Cleveland Monsters20100001510-51000000145-11010000015-410.250591400254153245733352056578812610376233.33%5260.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
8Coachella Valley Firebirds3020000138-51010000002-22010000136-310.167369002541532441333520565787325884310220.00%4325.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
9Colorado Eagles200001105501000010023-11000001032130.75058130025415324293335205657834748283266.67%4175.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
10Grand Rapids Griffins3110010035-22110000023-11000010012-130.50033610254153244933352056578401330445120.00%5340.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
11Hartford Wolf Pack2000010113-21000010001-11000000112-120.500112002541532416333520565783591930100.00%2150.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
12Henderson Silver Knights31200000770211000006511010000012-120.3337111800254153247433352056578111359366116.67%220.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
13Hershey Bears20101000660100010002111010000045-120.500610160025415324613335205657886222931400.00%2150.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
14Iowa Wild30200001311-82010000137-41010000004-410.16735800254153245933352056578100376348800.00%9455.56%0612107756.82%659123453.40%45180556.02%130255014507491646852
15Laval Rocket21000010422110000002111000001021141.0004590025415324363335205657857223642300.00%3166.67%0612107756.82%659123453.40%45180556.02%130255014507491646852
16Lehigh Valley Phantoms21001000523110000002021000100032141.000551001254153243333352056578492254342150.00%20100.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
17Manitoba Moose31200000711-42110000035-21010000046-220.3337132000254153247033352056578934094469333.33%7185.71%0612107756.82%659123453.40%45180556.02%130255014507491646852
18Milwaukee Admirals321000009541010000023-12200000072540.667914230025415324813335205657898401144710660.00%7185.71%0612107756.82%659123453.40%45180556.02%130255014507491646852
19Ontario Reign20200000310-71010000014-31010000026-400.00035800254153243133352056578712773245120.00%4250.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
20Providence Bruins21000010743100000102111100000053241.0007916002541532439333520565785919413544100.00%3166.67%0612107756.82%659123453.40%45180556.02%130255014507491646852
21Rochester Americans31000110862100000102112100010065150.833891700254153246933352056578691933408225.00%4175.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
22Rockford IceHogs3120000045-11010000001-12110000044020.33345901254153244633352056578722069505240.00%7357.14%0612107756.82%659123453.40%45180556.02%130255014507491646852
23San Diego Gulls2020000016-51010000012-11010000004-400.0001230025415324433335205657872296443400.00%2150.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
24San Jose Barracuda2020000036-31010000034-11010000002-200.00035800254153244433352056578622526306116.67%3166.67%0612107756.82%659123453.40%45180556.02%130255014507491646852
25Springfield Thunderbirds321000005411010000002-22200000052340.667581300254153245533352056578732960495240.00%5180.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
26Syracuse Crunch20100010330100000103211010000001-120.5003360025415324343335205657819660284250.00%5260.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
27Texas Stars301010106602010100045-11000001021140.667691500254153248133352056578742693464125.00%10190.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
28Toronto Marlies211000004401010000023-11100000021120.500471100254153244833352056578762118292150.00%40100.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
29Tucson Roadrunners2010001025-31010000004-41000001021120.5002130025415324313335205657879197035100.00%5180.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
30Utica Comets21001000615110000005141000100010141.000691501254153243133352056578261027303266.67%10100.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
31Wilkes-Barre Scranton Penguins22000000404110000002021100000020241.000481202254153244233352056578421226293133.33%30100.00%0612107756.82%659123453.40%45180556.02%130255014507491646852
Total721831044105133160-2736817022526378-15361014022537082-12730.50713319432736254153241438333520565781971653149911151404431.43%1283969.53%0612107756.82%659123453.40%45180556.02%130255014507491646852
_Since Last GM Reset721831044105133160-2736817022526378-15361014022537082-12730.50713319432736254153241438333520565781971653149911151404431.43%1283969.53%0612107756.82%659123453.40%45180556.02%130255014507491646852
_Vs Conference38722012426399-3620313011113053-231849001313346-13280.36863981612125415324765333520565781101393926586822226.83%742467.57%0612107756.82%659123453.40%45180556.02%130255014507491646852
_Vs Division18511011122950-21927010011622-6934001111328-15170.47229487711254153243643335205657855920642527141921.95%251252.00%0612107756.82%659123453.40%45180556.02%130255014507491646852

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7273L4133194327143819716531499111536
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
72183144105133160
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3681722526378
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36101422537082
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
1404431.43%1283969.53%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
3335205657825415324
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
612107756.82%659123453.40%45180556.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
130255014507491646852


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
211Manitoba Moose4Chicago Wolves1LSommaire du match
535Grand Rapids Griffins2Chicago Wolves0LSommaire du match
859Chicago Wolves2Rockford IceHogs4LSommaire du match
971Henderson Silver Knights4Chicago Wolves2LSommaire du match
1297Iowa Wild4Chicago Wolves1LSommaire du match
15116Chicago Wolves3Rochester Americans4LXSommaire du match
17129Texas Stars2Chicago Wolves3WXSommaire du match
18134Chicago Wolves2Coachella Valley Firebirds4LSommaire du match
19148Chicago Wolves2Milwaukee Admirals1WSommaire du match
21160Chicago Wolves2Springfield Thunderbirds1WSommaire du match
23178Syracuse Crunch2Chicago Wolves3WXXSommaire du match
26198Rockford IceHogs1Chicago Wolves0LSommaire du match
29224Chicago Wolves0Charlotte Checkers2LSommaire du match
30230Iowa Wild3Chicago Wolves2LXXSommaire du match
33255Chicago Wolves0Belleville Senators2LSommaire du match
34262Springfield Thunderbirds2Chicago Wolves0LSommaire du match
37289San Jose Barracuda4Chicago Wolves3LSommaire du match
39304Chicago Wolves2Bridgeport Islanders1WXXSommaire du match
41321Bridgeport Islanders2Chicago Wolves1LSommaire du match
43337Chicago Wolves1Cleveland Monsters5LSommaire du match
45352Calgary Wranglers1Chicago Wolves2WXXSommaire du match
47368Chicago Wolves3Rochester Americans1WSommaire du match
49385Utica Comets1Chicago Wolves5WSommaire du match
51406Chicago Wolves1Calgary Wranglers3LSommaire du match
52417Manitoba Moose1Chicago Wolves2WSommaire du match
55438Chicago Wolves3Colorado Eagles2WXXSommaire du match
56448Henderson Silver Knights1Chicago Wolves4WSommaire du match
59468Chicago Wolves0San Diego Gulls4LSommaire du match
60481Providence Bruins1Chicago Wolves2WXXSommaire du match
63500Chicago Wolves1Henderson Silver Knights2LSommaire du match
65509Chicago Wolves5Providence Bruins3WSommaire du match
66520Hartford Wolf Pack1Chicago Wolves0LXSommaire du match
69544Rochester Americans1Chicago Wolves2WXXSommaire du match
71562Chicago Wolves3Lehigh Valley Phantoms2WXSommaire du match
73577Cleveland Monsters5Chicago Wolves4LXXSommaire du match
75589Chicago Wolves2Toronto Marlies1WSommaire du match
77603Chicago Wolves5Milwaukee Admirals1WSommaire du match
78616Laval Rocket1Chicago Wolves2WSommaire du match
80636Chicago Wolves1Grand Rapids Griffins2LXSommaire du match
82646Charlotte Checkers3Chicago Wolves1LSommaire du match
84667Chicago Wolves2Tucson Roadrunners1WXXSommaire du match
85679Grand Rapids Griffins1Chicago Wolves2WSommaire du match
87697Chicago Wolves3Springfield Thunderbirds1WSommaire du match
88710Toronto Marlies3Chicago Wolves2LSommaire du match
92737Chicago Wolves1Utica Comets0WXSommaire du match
93744Ontario Reign4Chicago Wolves1LSommaire du match
95770Belleville Senators2Chicago Wolves3WXXSommaire du match
99801Wilkes-Barre Scranton Penguins0Chicago Wolves2WSommaire du match
101814Chicago Wolves2Rockford IceHogs0WSommaire du match
103830Chicago Wolves0Syracuse Crunch1LSommaire du match
104839Bakersfield Condors4Chicago Wolves1LSommaire du match
107864Chicago Wolves1Hartford Wolf Pack2LXXSommaire du match
108869Colorado Eagles3Chicago Wolves2LXSommaire du match
110892Chicago Wolves0Iowa Wild4LSommaire du match
111898Abbotsford Canucks0Chicago Wolves2WSommaire du match
114924Chicago Wolves3Abbotsford Canucks4LXXSommaire du match
115931San Diego Gulls2Chicago Wolves1LSommaire du match
117948Chicago Wolves2Laval Rocket1WXXSommaire du match
119963Chicago Wolves2Ontario Reign6LSommaire du match
120969Lehigh Valley Phantoms0Chicago Wolves2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122992Chicago Wolves1Coachella Valley Firebirds2LXXSommaire du match
1231000Milwaukee Admirals3Chicago Wolves2LSommaire du match
1261026Hershey Bears1Chicago Wolves2WXSommaire du match
1281036Chicago Wolves3Bakersfield Condors1WSommaire du match
1301059Texas Stars3Chicago Wolves1LSommaire du match
1331079Chicago Wolves2Wilkes-Barre Scranton Penguins0WSommaire du match
1341090Tucson Roadrunners4Chicago Wolves0LSommaire du match
1351099Chicago Wolves2Texas Stars1WXXSommaire du match
1381116Chicago Wolves4Manitoba Moose6LSommaire du match
1391125Chicago Wolves4Hershey Bears5LSommaire du match
1401132Chicago Wolves0San Jose Barracuda2LSommaire du match
1441152Coachella Valley Firebirds2Chicago Wolves0LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance55,51034,065
Assistance PCT77.10%94.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2488 - 82.94% 96,022$3,456,800$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,588,540$ 2,088,500$ 2,088,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,088,435$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 17,852$ 0$




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