Connexion

Chicago Wolves
GP: 76 | W: 26 | L: 41 | OTL: 9 | P: 61
GF: 235 | GA: 307 | PP%: 23.00% | PK%: 80.29%
DG: Francis Lachance | Morale : 99 | Moyenne d’équipe : 64
Prochains matchs #1083 vs Iowa Wild
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Centre de jeu
Chicago Wolves
26-41-9, 61pts
5
FINAL
6 Colorado Eagles
42-24-10, 94pts
Team Stats
SOL1SéquenceW3
14-23-2Fiche domicile23-11-5
12-18-7Fiche domicile19-13-5
3-6-1Derniers 10 matchs4-3-3
3.09Buts par match 3.72
4.04Buts contre par match 3.47
23.00%Pourcentage en avantage numérique21.65%
80.29%Pourcentage en désavantage numérique78.87%
Chicago Wolves
26-41-9, 61pts
2
FINAL
3 Laval Rocket
33-39-3, 69pts
Team Stats
SOL1SéquenceW1
14-23-2Fiche domicile19-16-2
12-18-7Fiche domicile14-23-1
3-6-1Derniers 10 matchs3-6-1
3.09Buts par match 3.47
4.04Buts contre par match 3.91
23.00%Pourcentage en avantage numérique16.58%
80.29%Pourcentage en désavantage numérique76.69%
Iowa Wild
38-31-8, 84pts
Jour 181
Chicago Wolves
26-41-9, 61pts
Statistiques d’équipe
W1SéquenceSOL1
18-18-3Fiche domicile14-23-2
20-13-5Fiche visiteur12-18-7
5-4-110 derniers matchs3-6-1
3.64Buts par match 3.09
3.68Buts contre par match 3.09
26.05%Pourcentage en avantage numérique23.00%
81.44%Pourcentage en désavantage numérique80.29%
Manitoba Moose
41-33-2, 84pts
Jour 182
Chicago Wolves
26-41-9, 61pts
Statistiques d’équipe
L3SéquenceSOL1
19-19-1Fiche domicile14-23-2
22-14-1Fiche visiteur12-18-7
4-6-010 derniers matchs3-6-1
3.21Buts par match 3.09
3.17Buts contre par match 3.09
17.28%Pourcentage en avantage numérique23.00%
79.41%Pourcentage en désavantage numérique80.29%
Chicago Wolves
26-41-9, 61pts
Jour 185
Grand Rapids Griffins
28-37-10, 66pts
Statistiques d’équipe
SOL1SéquenceL3
14-23-2Fiche domicile13-17-7
12-18-7Fiche visiteur15-20-3
3-6-110 derniers matchs0-8-2
3.09Buts par match 3.88
4.04Buts contre par match 3.88
23.00%Pourcentage en avantage numérique24.75%
80.29%Pourcentage en désavantage numérique74.74%
Meneurs d'équipe
Buts
Martin Frk
29
Passes
Filip Sveningsson
41
Points
Filip Sveningsson
65
Plus/Moins
Anthony Salinitri
5
Victoires
Frans Tuohimaa
14
Pourcentage d’arrêts
Topias Leinonen
0.918

Statistiques d’équipe
Buts pour
235
3.09 GFG
Tirs pour
2807
36.93 Avg
Pourcentage en avantage numérique
23.0%
46 GF
Début de zone offensive
38.7%
Buts contre
307
4.04 GAA
Tirs contre
3150
41.45 Avg
Pourcentage en désavantage numérique
80.3%%
27 GA
Début de la zone défensive
38.0%
Informations de l'équipe

Directeur généralFrancis Lachance
EntraîneurPaul Maurice
DivisionEastern
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité10,000
Assistance9,531
Billets de saison4,000


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 75
Espoirs2


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
1Todd Bugess (R)XX100.0069347487757579788673736565646155996902711,150,000$
2Adam Lowry X100.008048718576838371516771656579864399690301850,000$
3Martin Frk X100.007640758577838367526468686583725199680292750,000$
4Filip Sveningsson (R)X97.008047668776707476526674616867674999670241700,000$
5Nicholas Henry (R)X100.0073367674757576725771716968606161996602421,000,000$
6Artyom Manyukan (R)X98.006124808764737570516565626562784899650251505,000$
7Cutter Gauthier (R)XX99.007534767277707070816774727336378699650192925,000$
8Tyler Soy (R)X99.005418858372727960865664626862674499630262510,000$
9Alex Dostie (R)X100.005418858373767962865861666356535799630262600,000$
10Christopher Lalancette X100.004411968474808159875659616364684299630292510,000$
11Anthony SalinitriX100.006431757472656966775866616868724999620251505,000$
12Marek Tvrdon X100.005624888281828253524953666374664099620301510,000$
13Reid Duke (R)X100.005928807476717560845462636874754499620271510,000$
14Connor Carrick X100.005627878476868364566764646472863799670292750,000$
15Henry Thrun (R)X99.006532827977818165526454645547576499650222725,000$
16Mitchell WheatonX100.005823947583828356545453715560644199650283880,000$
17Jakub VotjaX97.007136677371626257516464686379792099640362500,000$
18Yann SauveX97.00511499877978773748363874486868259963N0333500,001$
19Will Borgen (R)X99.00592479767571755054474267506182519962N0262500,001$
20Luke Mittlestadt (R)X100.006432766970707068506968636841505999620203500,000$
21Matthew CairnsX100.007135756676666948494848715049526099610253625,000$
Rayé
1Juraj Slafkovsky (R)X95.007941747081686880637475727352519299670192925,000$
MOYENNE D’ÉQUIPE99.09653080797575766363606266636366519965
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
1Frans Tuohimaa 100.008285817992717176766965767334996403221,000,000$
2Michael Hrabal (R)100.00777581857878787877777839378299610183650,000$
3Topias Leinonen (R)100.00747585857180807070726839387999590192650,000$
Rayé
MOYENNE D’ÉQUIPE100.0078788283807676757473705149659961
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice71938571909182CAN545250,000$


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
1Filip SveningssonChicago Wolves (CAR)LW71244165-4330015387346791536.94%42133618.829918291170003421039.32%2345928010.9713000330
2Martin Frk Chicago Wolves (CAR)RW71292958-292201081002868316710.14%39138319.485712351430002181143.15%1466845100.8403000225
3Todd BugessChicago Wolves (CAR)C/RW51223052-312756476240661449.17%47105720.746713211030112401249.89%8905224000.9801000132
4Juraj SlafkovskyChicago Wolves (CAR)LW64272552-1026093682645816010.23%39112017.5123510660000175242.50%1204825010.9301000343
5Cutter GauthierChicago Wolves (CAR)C/LW70172845-252009698155497810.97%35117616.814812181240001161048.60%13191828000.7613000031
6Artyom ManyukanChicago Wolves (CAR)RW69192342-211209761196501239.69%37110916.082577650000312037.35%834423010.7601000430
7Adam Lowry Chicago Wolves (CAR)LW50181735-3227511355225661208.00%33109721.9627918880001504134.54%1945325000.6401100053
8Nicholas HenryChicago Wolves (CAR)RW61141832-182358762167541158.38%3095815.71369171010001420047.17%1063216000.6701001112
9Alex DostieChicago Wolves (CAR)C76141731-12206167195631107.18%2895412.553035170002182153.95%5693531000.6511000213
10Christopher Lalancette Chicago Wolves (CAR)C6382028-250025728328529.64%2690614.380778750000110151.65%7901218000.6200000010
11Tyler SoyChicago Wolves (CAR)C7691524-150035469937629.09%96818.9713410440002270152.93%4102713000.7012000101
12Luke MittlestadtChicago Wolves (CAR)D6631821-820053537231374.17%71109116.53224689011225000%01843000.3800000001
13Connor Carrick Chicago Wolves (CAR)D4151116-290029506629177.58%81101424.742131069000346200%01741000.3200000012
14Jakub VotjaChicago Wolves (CAR)D515914-3030068606313287.94%8499819.574041092000245100%0838000.2800000012
15Henry ThrunChicago Wolves (CAR)D5121113-2818049474125294.88%87111621.890221075000149000%01437000.2300000001
16Mitchell WheatonChicago Wolves (CAR)D5501313-380040535424190%103107919.62022685000061000%01135000.2400000010
17Matthew CairnsChicago Wolves (CAR)D7611011-16041444218222.38%4992512.17022354000052000%0236000.2400000000
18Will BorgenChicago Wolves (CAR)D64099-78034484115150%5791714.34044444000149000%0428000.2000000000
19Yann SauveChicago Wolves (CAR)D51178-280014644018172.50%6397119.04011345000050000%0834100.1600000000
20Anthony SalinitriChicago Wolves (CAR)C69437500221138123710.53%102764.011011121012341050.00%3062000.5102000001
21Reid DukeChicago Wolves (CAR)C76156-80020132612213.85%103915.15022027000070044.00%2574000.3102000000
22Marek Tvrdon Chicago Wolves (CAR)LW66112-124032423415132.94%225959.03000010002210043.75%16616000.0700000000
Statistiques d’équipe totales ou en moyenne1388224360584-4452751513341277277384515398.08%10022115915.24467812423115471232775921948.74%4932549590230.55421101172927
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
1Frans Tuohimaa Chicago Wolves (CAR)42142340.9024.072371401611651829230.600104115742
2Michael HrabalChicago Wolves (CAR)35121640.9073.712020001251337656100.667153238143
3Topias LeinonenChicago Wolves (CAR)40210.9183.822040013159740000323000
Statistiques d’équipe totales ou en moyenne81264190.9053.904597402993147155933257676885


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam Lowry Chicago Wolves (CAR)LW301984-10-14 11:57:08No200 Lbs6 ft4NoNoN/ANoNo1Pro & Farm850,000$49,211$0$0$No------------------
Alex DostieChicago Wolves (CAR)C261988-10-09 03:09:13Yes186 Lbs6 ft1NoNoN/ANoNo2Pro & Farm600,000$34,737$0$0$No600,000$--------No--------
Anthony SalinitriChicago Wolves (CAR)C251989-08-31 20:37:59No186 Lbs5 ft11NoNoN/ANoNo1Pro & Farm505,000$29,237$0$0$No------------------
Artyom ManyukanChicago Wolves (CAR)RW251989-09-04 18:12:38Yes156 Lbs5 ft7NoNoN/ANoNo1Pro & Farm505,000$29,237$0$0$No------------------
Christopher Lalancette Chicago Wolves (CAR)C291985-10-14 12:10:00No197 Lbs6 ft1NoNoN/ANoNo2Pro & Farm510,000$29,526$0$0$No510,000$--------No--------
Connor Carrick Chicago Wolves (CAR)D291985-10-14 13:08:35No204 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$43,421$0$0$No750,000$--------No--------
Cutter GauthierChicago Wolves (CAR)C/LW191995-09-01 05:29:56Yes202 Lbs6 ft4NoNoN/ANoNo2Pro & Farm925,000$53,553$0$0$No925,000$--------No--------
Filip SveningssonChicago Wolves (CAR)LW241990-09-07 20:28:47Yes193 Lbs6 ft3NoNoN/ANoNo1Pro & Farm700,000$40,526$0$0$No------------------
Frans Tuohimaa Chicago Wolves (CAR)G321982-10-14 10:43:38No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$57,895$0$0$No1,000,000$--------No--------
Henry ThrunChicago Wolves (CAR)D221992-08-31 21:23:33Yes203 Lbs6 ft3NoNoN/ANoNo2Pro & Farm725,000$41,974$0$0$No725,000$--------No--------
Jakub VotjaChicago Wolves (CAR)D361978-08-31 09:15:06No35 Lbs1 ft7NoNoN/ANoNo2Pro & Farm500,000$28,947$0$0$No500,000$--------No--------
Juraj Slafkovsky (sur la masse salariale)Chicago Wolves (CAR)LW191995-09-01 05:32:03Yes231 Lbs6 ft4NoNoN/ANoNo2Pro & Farm925,000$53,553$0$0$No925,000$--------No--------
Luke MittlestadtChicago Wolves (CAR)D201994-09-09 09:34:46Yes174 Lbs5 ft11NoNoN/ANoNo3Pro & Farm500,000$28,947$0$0$No500,000$500,000$-------NoNo-------
Marek Tvrdon Chicago Wolves (CAR)LW301984-10-14 12:51:58No229 Lbs6 ft2NoNoN/ANoNo1Pro & Farm510,000$29,526$0$0$No------------------
Martin Frk Chicago Wolves (CAR)RW291985-10-14 11:36:33No217 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$43,421$0$0$No750,000$--------No--------
Matthew CairnsChicago Wolves (CAR)D251989-08-31 20:26:08No209 Lbs6 ft2NoNoN/ANoNo3Pro & Farm625,000$36,184$0$0$No625,000$625,000$-------NoNo-------
Michael HrabalChicago Wolves (CAR)G181996-09-09 09:36:33Yes216 Lbs6 ft7NoNoN/ANoNo3Pro & Farm650,000$37,632$0$0$No650,000$650,000$-------NoNo-------
Mitchell WheatonChicago Wolves (CAR)D281986-10-05 16:05:45No237 Lbs6 ft5NoNoN/ANoNo3Pro & Farm880,000$50,947$0$0$No880,000$880,000$-------NoNo-------
Nicholas HenryChicago Wolves (CAR)RW241990-10-04 05:54:13Yes202 Lbs5 ft11NoNoTrade2024-01-05NoNo2Pro & Farm1,000,000$57,895$0$0$No1,000,000$--------No--------
Reid DukeChicago Wolves (CAR)C271987-09-07 20:29:46Yes204 Lbs6 ft0NoNoN/ANoNo1Pro & Farm510,000$29,526$0$0$No------------------
Todd BugessChicago Wolves (CAR)C/RW271987-10-09 01:44:39Yes189 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,150,000$66,579$0$0$No------------------
Topias LeinonenChicago Wolves (CAR)G191995-09-01 05:34:07Yes235 Lbs6 ft5NoNoN/ANoNo2Pro & Farm650,000$37,632$0$0$No650,000$--------No--------
Tyler SoyChicago Wolves (CAR)C261988-10-09 02:32:47Yes183 Lbs6 ft0NoNoN/ANoNo2Pro & Farm510,000$29,526$0$0$No510,000$--------No--------
Will BorgenChicago Wolves (CAR)D261988-09-04 18:41:54Yes200 Lbs6 ft2YesNoN/ANoNo2Pro & Farm500,001$28,947$0$0$No500,001$--------Yes--------
Yann SauveChicago Wolves (CAR)D331981-08-06 20:38:02No227 Lbs6 ft2YesNoN/ANoNo3Pro & Farm500,001$28,947$0$0$No500,001$500,001$-------YesYes-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.92196 Lbs6 ft01.92689,200$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Artyom ManyukanNicholas HenryTodd Bugess40122
2Filip SveningssonCutter GauthierTyler Soy30122
3Adam Lowry Christopher Lalancette Artyom Manyukan20122
4Marek Tvrdon Alex DostieArtyom Manyukan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor Carrick Henry Thrun40122
2Mitchell WheatonYann Sauve30122
3Yann SauveWill Borgen20122
4Matthew CairnsLuke Mittlestadt10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Reid DukeTyler SoyFilip Sveningsson60122
2Artyom ManyukanCutter GauthierAnthony Salinitri40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will BorgenConnor Carrick 60122
2Matthew CairnsYann Sauve40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Filip SveningssonArtyom Manyukan60122
2Cutter GauthierAnthony Salinitri40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew CairnsWill Borgen60122
2Connor Carrick Henry Thrun40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anthony Salinitri60122Matthew CairnsHenry Thrun60122
2Cutter Gauthier40122Will BorgenMitchell Wheaton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Artyom ManyukanCutter Gauthier60122
2Tyler SoyReid Duke40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will BorgenMatthew Cairns60122
2Henry ThrunConnor Carrick 40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas HenryTodd BugessFilip SveningssonConnor Carrick Henry Thrun
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicholas HenryTodd BugessFilip SveningssonConnor Carrick Henry Thrun
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Soy, Reid Duke, Anthony SalinitriTyler Soy, Reid DukeAnthony Salinitri
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Yann Sauve, Will Borgen, Matthew CairnsWill BorgenWill Borgen, Matthew Cairns
Tirs de pénalité
Tyler Soy, Anthony Salinitri, Reid Duke, Artyom Manyukan, Cutter Gauthier
Gardien
#1 : Frans Tuohimaa , #2 : Michael Hrabal, #3 : Topias Leinonen
Lignes d’attaque personnalisées en prolongation
Anthony Salinitri, Todd Bugess, Filip Sveningsson, Tyler Soy, Reid Duke, Nicholas Henry, Nicholas Henry, Artyom Manyukan, Cutter Gauthier, Christopher Lalancette , Alex Dostie
Lignes de défense personnalisées en prolongation
Will Borgen, Matthew Cairns, Luke Mittlestadt, Yann Sauve, Connor Carrick


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's Canucks312000001011-1110000003212020000079-220.3331014240068877391038779629365612135195210110.00%30100.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
2Bakersfield Condors31100001101002010000168-21100000042230.50010152500688773911287796293656128404598112.50%20100.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
3Belleville Senators31200000813-51100000042220200000411-720.33381321006887739105877962936561193714526233.33%7271.43%0959199648.05%939196347.83%559120546.39%153786417036791370688
4Bridgeport's Islanders3210000011110220000008441010000037-440.667111728006887739118877962936561384312657457.14%6266.67%0959199648.05%939196347.83%559120546.39%153786417036791370688
5Calgary Wranglers30201000613-720200000210-81000100043120.33369150068877399787796293656152516576116.67%30100.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
6Charlotte Checkers30300000714-72020000037-41010000047-300.0007121900688773910787796293656113368538112.50%4175.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
7Colorado Eagles30300000912-31010000023-12020000079-200.000916250068877391118779629365612849106314321.43%50100.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
8Grand Rapids Griffins2010100059-4100010004311010000016-520.5005914006887739758779629365684271136100.00%3166.67%0959199648.05%939196347.83%559120546.39%153786417036791370688
9Hartford Wolfpack311001001012-21010000036-32100010076130.50010152500688773910387796293656147586587342.86%3166.67%0959199648.05%939196347.83%559120546.39%153786417036791370688
10Henderson Silver Knights30300000812-42020000036-31010000056-100.0008152300688773912587796293656127421452700.00%7271.43%0959199648.05%939196347.83%559120546.39%153786417036791370688
11Hershey Bears21000100761110000003121000010045-130.75071320006887739528779629365684240354125.00%000%0959199648.05%939196347.83%559120546.39%153786417036791370688
12Iowa Wild2010001089-11010000024-21000001065120.500813210068877397187796293656782712263133.33%60100.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
13Laval Rocket31100001121201010000034-12100000198130.50012193100688773912487796293656122454536233.33%20100.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
14Lehigh Valley Phantoms3110100010100110000005142010100059-440.667101525006887739115877962936569523106711218.18%5340.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
15Manitoba Moose2110000045-11010000014-31100000031220.5004711006887739728779629365660318363266.67%40100.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
16Ontario Reign30200100611-52020000048-41000010023-110.167612182068877399687796293656116416448225.00%30100.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
17Providence Bruins30100011910-1100000104312010000157-230.5009122100688773995877962936561285114531119.09%7271.43%0959199648.05%939196347.83%559120546.39%153786417036791370688
18Rochester Americans31200000713-621100000610-41010000013-220.33371219006887739121877962936561454322498112.50%11281.82%0959199648.05%939196347.83%559120546.39%153786417036791370688
19Rockford IceHogs3010010169-32010000135-21000010034-120.33361218006887739120877962936561164712509222.22%60100.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
20San Diego Gulls 312000001216-41010000026-4211000001010020.3331219310068877391258779629365613759124610440.00%6183.33%0959199648.05%939196347.83%559120546.39%153786417036791370688
21San Jose Barracuda32001000161241100000053221001000119261.000162642006887739118877962936561405818565240.00%9366.67%2959199648.05%939196347.83%559120546.39%153786417036791370688
22Springfield Thunderbirds31101000910-12010100046-21100000054140.667913220068877391048779629365610233206512216.67%10280.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
23Syracuse Crunch311000011417-32110000079-21000000178-130.500142438006887739123877962936561214414497228.57%7271.43%0959199648.05%939196347.83%559120546.39%153786417036791370688
24Texas Stars312000001117-620200000615-91100000052320.3331117281068877399487796293656113251457600.00%70100.00%1959199648.05%939196347.83%559120546.39%153786417036791370688
25Toronto Marlies30300000418-141010000024-220200000214-1200.00047110068877391048779629365612337125510110.00%6183.33%0959199648.05%939196347.83%559120546.39%153786417036791370688
26Utica Comets21100000862110000006241010000024-220.50081624006887739938779629365681332234250.00%10100.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
27Wilkes-Barre/Scranton Penguins3120000089-1211000005501010000034-120.3338122000688773912487796293656132338489333.33%4250.00%0959199648.05%939196347.83%559120546.39%153786417036791370688
Total76194105425235307-7239112302012106141-353781803413129166-37610.4012353846193068877392807877962936563150107229213592004623.00%1372780.29%3959199648.05%939196347.83%559120546.39%153786417036791370688
_Since Last GM Reset76194105425235307-7239112302012106141-353781803413129166-37610.4012353846193068877392807877962936563150107229213592004623.00%1372780.29%3959199648.05%939196347.83%559120546.39%153786417036791370688
_Vs Conference76194105425235307-7239112302012106141-353781803413129166-37610.4012353846193068877392807877962936563150107229213592004623.00%1372780.29%3959199648.05%939196347.83%559120546.39%153786417036791370688
_Vs Division39111801213120160-401988000106361220310012035799-42310.3971201963160068877391459877962936561632534137696992525.25%661971.21%0959199648.05%939196347.83%559120546.39%153786417036791370688

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7661SOL1235384619280731501072292135930
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7619415425235307
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3911232012106141
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
378183413129166
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2004623.00%1372780.29%3
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
877962936566887739
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
959199648.05%939196347.83%559120546.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
153786417036791370688


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
13Rochester Americans7Chicago Wolves2BLSommaire du match
425Syracuse Crunch3Chicago Wolves5BWSommaire du match
639Lehigh Valley Phantoms1Chicago Wolves5BWSommaire du match
744Chicago Wolves7Laval Rocket5AWSommaire du match
958Chicago Wolves5Henderson Silver Knights6ALSommaire du match
1169Chicago Wolves4Charlotte Checkers7ALSommaire du match
1384Chicago Wolves3Wilkes-Barre/Scranton Penguins4ALSommaire du match
1592Chicago Wolves4Calgary Wranglers3AWXSommaire du match
18109Chicago Wolves3Rockford IceHogs4ALXSommaire du match
20120Toronto Marlies4Chicago Wolves2BLSommaire du match
21125Bakersfield Condors5Chicago Wolves4BLXXSommaire du match
25148Chicago Wolves5San Diego Gulls 3AWSommaire du match
28164Chicago Wolves3Hartford Wolfpack4ALXSommaire du match
30177Iowa Wild4Chicago Wolves2BLSommaire du match
32187Chicago Wolves4Hershey Bears5ALXSommaire du match
34199Springfield Thunderbirds4Chicago Wolves1BLSommaire du match
37220Chicago Wolves2Ontario Reign3ALXSommaire du match
39229Hershey Bears1Chicago Wolves3BWSommaire du match
42247Colorado Eagles3Chicago Wolves2BLSommaire du match
43253Chicago Wolves2Utica Comets4ALSommaire du match
45263Abbotsford's Canucks2Chicago Wolves3BWSommaire du match
47280Providence Bruins3Chicago Wolves4BWXXSommaire du match
50297Texas Stars9Chicago Wolves2BLSommaire du match
51301Manitoba Moose4Chicago Wolves1BLSommaire du match
57336Chicago Wolves1Belleville Senators5ALSommaire du match
58340Bridgeport's Islanders1Chicago Wolves3BWSommaire du match
60353Chicago Wolves3Manitoba Moose1AWSommaire du match
63373Calgary Wranglers6Chicago Wolves2BLSommaire du match
65385Laval Rocket4Chicago Wolves3BLSommaire du match
69403Chicago Wolves6San Jose Barracuda5AWXSommaire du match
72422Hartford Wolfpack6Chicago Wolves3BLSommaire du match
74435Ontario Reign4Chicago Wolves2BLSommaire du match
76447Chicago Wolves4Lehigh Valley Phantoms3AWXSommaire du match
78457Chicago Wolves5Springfield Thunderbirds4AWSommaire du match
80468San Jose Barracuda3Chicago Wolves5BWSommaire du match
82481Chicago Wolves5Texas Stars2AWSommaire du match
85500Chicago Wolves7Syracuse Crunch8ALXXSommaire du match
87509Wilkes-Barre/Scranton Penguins4Chicago Wolves3BLSommaire du match
89521Henderson Silver Knights4Chicago Wolves3BLSommaire du match
92541Chicago Wolves6Iowa Wild5AWXXSommaire du match
93547Utica Comets2Chicago Wolves6BWSommaire du match
97570Grand Rapids Griffins3Chicago Wolves4BWXSommaire du match
98576Chicago Wolves1Toronto Marlies8ALSommaire du match
101593Chicago Wolves4Bakersfield Condors2AWSommaire du match
103605Charlotte Checkers4Chicago Wolves1BLSommaire du match
106620Belleville Senators2Chicago Wolves4BWSommaire du match
108634Chicago Wolves3Bridgeport's Islanders7ALSommaire du match
109641San Diego Gulls 6Chicago Wolves2BLSommaire du match
112657Chicago Wolves1Rochester Americans3ALSommaire du match
116677Chicago Wolves3Abbotsford's Canucks4ALSommaire du match
118692Rockford IceHogs2Chicago Wolves1BLSommaire du match
120704Chicago Wolves4Providence Bruins5ALXXSommaire du match
125727Chicago Wolves1Grand Rapids Griffins6ALSommaire du match
127740Chicago Wolves2Colorado Eagles3ALSommaire du match
131758Chicago Wolves1Providence Bruins2ALSommaire du match
132767Chicago Wolves3Belleville Senators6ALSommaire du match
135790Bakersfield Condors3Chicago Wolves2BLSommaire du match
137801Chicago Wolves4Hartford Wolfpack2AWSommaire du match
140819Syracuse Crunch6Chicago Wolves2BLSommaire du match
141822Ontario Reign4Chicago Wolves2BLSommaire du match
143838Bridgeport's Islanders3Chicago Wolves5BWSommaire du match
146854Chicago Wolves1Lehigh Valley Phantoms6ALSommaire du match
147860Texas Stars6Chicago Wolves4BLSommaire du match
150881Springfield Thunderbirds2Chicago Wolves3BWXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153899Chicago Wolves4Abbotsford's Canucks5ALSommaire du match
154905Rockford IceHogs3Chicago Wolves2BLXXSommaire du match
156920Wilkes-Barre/Scranton Penguins1Chicago Wolves2BWSommaire du match
158933Chicago Wolves1Toronto Marlies6ALSommaire du match
161949Chicago Wolves5San Jose Barracuda4AWSommaire du match
162956Chicago Wolves5San Diego Gulls 7ALSommaire du match
168994Rochester Americans3Chicago Wolves4BWSommaire du match
1711015Calgary Wranglers4Chicago Wolves0BLSommaire du match
1721022Charlotte Checkers3Chicago Wolves2BLSommaire du match
1741037Henderson Silver Knights2Chicago Wolves0BLSommaire du match
1761049Chicago Wolves5Colorado Eagles6ALSommaire du match
1781064Chicago Wolves2Laval Rocket3ALXXSommaire du match
1811083Iowa Wild-Chicago Wolves-
1821088Manitoba Moose-Chicago Wolves-
1851107Chicago Wolves-Grand Rapids Griffins-
1861114Chicago Wolves-Utica Comets-
1881130Chicago Wolves-Hershey Bears-
1901144Chicago Wolves-Texas Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets3515
Assistance177,166194,524
Assistance PCT90.85%99.76%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 9531 - 95.31% 348,380$13,586,820$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,294,875$ 3,446,000$ 3,446,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,059,368$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
696,760$ 11 19,453$ 213,983$




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