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Chicago Wolves
GP: 14 | W: 8 | L: 6
GF: 37 | GA: 36 | PP%: 53.33% | PK%: 74.07%
DG: Hugues Pelletier | Morale : 15 | Moyenne d’équipe : 59

Centre de jeu
Chicago Wolves
8-6-0, 16pts
3
4 Hershey Bears
13-6-0, 26pts
Team Stats
L3SéquenceL3
4-3-0Fiche domicile7-2-0
4-3-0Fiche domicile6-4-0
4-5-1Derniers 10 matchs6-3-1
2.64Buts par match 3.68
2.57Buts contre par match 2.63
53.33%Pourcentage en avantage numérique31.03%
74.07%Pourcentage en désavantage numérique67.12%
Chicago Wolves
8-6-0, 16pts
2
5 Hershey Bears
13-6-0, 26pts
Team Stats
L3SéquenceL3
4-3-0Fiche domicile7-2-0
4-3-0Fiche domicile6-4-0
4-5-1Derniers 10 matchs6-3-1
2.64Buts par match 3.68
2.57Buts contre par match 2.63
53.33%Pourcentage en avantage numérique31.03%
74.07%Pourcentage en désavantage numérique67.12%
Meneurs d'équipe
Buts
Maxim Tsyplakov
9
Passes
Mason Appleton
14
Points
Mason Appleton
19
Plus/Moins
Adam Boqvist
6
Victoires
Leevi Merilainen
8
Pourcentage d’arrêts
Leevi Merilainen
0.89

Statistiques d’équipe
Buts pour
37
2.64 GFG
Tirs pour
353
25.21 Avg
Pourcentage en avantage numérique
53.3%
16 GF
Début de zone offensive
36.0%
Buts contre
36
2.57 GAA
Tirs contre
327
23.36 Avg
Pourcentage en désavantage numérique
74.1%%
14 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralHugues Pelletier
DivisionSUD-EST
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,411
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 59
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
1Calle Jarnkrok0X100.0070359073728574697170657567817638506403211,000,000$
2Mason Appleton0X100.0071369072798689676970657463717239506402822,166,667$
3Sam Steel0X100.006640887072839066816862806570686650630261825,000$
4Nico Sturm0X100.0074439266858183659062637761727135506202811,999,999$
5Philip Tomasino0X100.0066378971748483726568696271656779506202211,005,001$
6Maxim Tsyplakov0X100.0072408470858374675869626163666837506102511,550,000$
7Arthur Kaliyev0X100.006536896682797267506265616865647550600221900,000$
8Alex Barre-Boulet0X100.006236856568878364706662616368703650590261775,000$
9Dalibor Dvorsky (R)0X100.006438896678857163726059646261658850580181775,000$
10Sampo Ranta0X100.006938846279838159575859625863656450580231775,000$
11Adam Boqvist0X100.0060359573718772703075626453666884506202312,600,000$
12Trevor van Riemsdyk0X100.0057379064838589613074528145807423506103211,999,999$
13Logan Mailloux0X100.007442696786858765306866635462647850610212894,167$
14Logan Stanley0X100.0074846663998676623071547047686771506002521,250,000$
15Tristan Luneau0X100.006838886678857465306760645261637150600202918,333$
16Scott Morrow (R)0X100.007041786782867266306860645263657550600211775,000$
17William Villeneuve0X100.006340756672708065306854574863655850580221817,778$
Rayé
1Justin Robidas (R)0X100.006335956466857363716261606562645650580211775,000$
2Justin Sourdif0X100.006540696369897961586259566163646250570221900,000$
3Martin Chromiak0X100.006337906172848658626059576163655750570211820,000$
4Judd Caulfield0X100.007640855985728456605857555964665450570232837,500$
5Jachym Kondelik (R)0X100.008942835698716653615554625264665950560241925,000$
6Marcel Marcel0X100.008652745895677257555654595762645850560202775,000$
7Xavier Bourgault0X100.0060379059698382565958575556636581505502111,167,500$
8Dominik Bokk0XX100.006638926279816756535554526165667850550241775,000$
9Helge Grans0X100.007440836187828462306356604963657650580212894,167$
10Libor Hajek0X100.007344725682666955305453574766687350540261800,000$
11Xavier Bouchard (R)0X100.007642745385656352305449584564664850530241775,000$
MOYENNE D’ÉQUIPE100.00694184648081786252645963576667615059
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
1Leevi Merilainen0100.00798581817877797877797863696550580211820,000$
2Pheonix Copley0100.007781768776757776757776738746505603221,500,000$
3Drew Commesso0100.007786827776757776757776636973505602112,000,000$
Rayé
1Calle Clang0100.00738379797271737271737263696550540211925,000$
MOYENNE D’ÉQUIPE100.0077848081767577767577766674625056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Mason AppletonChicago Wolves (WIN)C1451419-400223147192310.64%935325.262799220002462049.07%322114201.0700000032
2Maxim TsyplakovChicago Wolves (WIN)RW1491019-180201840111222.50%525418.184711622000000242.86%7134101.4900000301
3Calle JarnkrokChicago Wolves (WIN)C14661200031233991815.38%1831522.552243130000451050.00%14698000.7600000210
4Adam BoqvistChicago Wolves (WIN)D142911640921218109.52%1837827.07224422022146000%0116000.5801000010
5Arthur KaliyevChicago Wolves (WIN)RW1455102402492671219.23%621815.64123513000001150.00%611000.9100000111
6Sampo RantaChicago Wolves (WIN)LW142572100201424398.33%430421.73011112000070050.00%1648000.4600000000
7Logan MaillouxChicago Wolves (WIN)D1423552803219172611.76%2036626.17224422000033200%0410000.2700000001
8Sam SteelChicago Wolves (WIN)C14134-22033184510192.22%327819.89000001121221050.39%127122000.2900000001
9Trevor van RiemsdykChicago Wolves (WIN)D14134-24051414627.14%728320.26112314000332000%046000.2800000000
10Beck MalenstynJetsLW4022300567360%39022.7001127000180057.14%714000.4400000001
11Scott MorrowChicago Wolves (WIN)D14202-3160251793622.22%1527619.72202314000125000%055000.1400000000
12Philip TomasinoChicago Wolves (WIN)C14101-2001912396212.56%320614.7500000000000053.73%6780000.1000000010
13Alex Barre-BouletChicago Wolves (WIN)C14000-120513320%0553.9700001000000033.33%31000000000000
14Dalibor DvorskyChicago Wolves (WIN)C14000000230120%0342.44000000000150066.67%30000000000000
15Logan StanleyChicago Wolves (WIN)D14000-42201252020%720614.7300000000023000%01400000000000
16Nico SturmChicago Wolves (WIN)C1400000014914460%01379.8000012000000066.67%123000000000000
17Tristan LuneauChicago Wolves (WIN)D14000-400283120%518713.380000000003000%01400000000000
Statistiques d’équipe totales ou en moyenne228366096-510002802283509615810.29%123394817.321625414117013493127350.28%7168966300.4901000677
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
1Leevi MerilainenChicago Wolves (WIN)148510.8902.5684503363271483000140200
Statistiques d’équipe totales ou en moyenne148510.8902.568450336327148300140200


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 Pays 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 Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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 BoqvistChicago Wolves (WIN)D232000-08-15SWENo191 Lbs6 ft0NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm2,600,000$0$0$No---------------------------Lien
Alex Barre-BouletChicago Wolves (WIN)C261997-05-21CANNo178 Lbs5 ft10NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Arthur KaliyevChicago Wolves (WIN)RW222001-06-26USANo210 Lbs6 ft2NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Calle ClangChicago Wolves (WIN)G212002-05-20SWENo194 Lbs6 ft2NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Calle JarnkrokChicago Wolves (WIN)C321991-09-25SWENo191 Lbs6 ft0NoNoFree AgentNoNo12025-11-22FalseFalsePro & Farm1,000,000$0$0$No---------3,500,001$-----------------Lien / Lien NHL
Dalibor DvorskyChicago Wolves (WIN)C182005-06-15SVKYes201 Lbs6 ft1NoNoTrade2025-09-19NoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Dominik BokkChicago Wolves (WIN)LW/RW242000-02-03DEUNo181 Lbs6 ft2NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Drew CommessoChicago Wolves (WIN)G212002-07-19USANo180 Lbs6 ft2NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Helge GransChicago Wolves (WIN)D212002-05-10SWENo205 Lbs6 ft4NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------Lien
Jachym KondelikChicago Wolves (WIN)C241999-12-21DEUYes226 Lbs6 ft6NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm925,000$0$0$No---------------------------
Judd CaulfieldChicago Wolves (WIN)RW232001-03-19USANo207 Lbs6 ft3NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm837,500$0$0$No837,500$--------837,500$--------No--------Lien
Justin RobidasChicago Wolves (WIN)C212003-03-13CANYes176 Lbs5 ft8NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Justin SourdifChicago Wolves (WIN)RW222002-03-24CANNo181 Lbs5 ft11NoNoFree AgentNoNo12025-11-23FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Leevi MerilainenChicago Wolves (WIN)G212002-08-13FINNo186 Lbs6 ft3NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm820,000$0$0$No---------------------------Lien
Libor HajekChicago Wolves (WIN)D261998-02-04CZENo209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Logan MaillouxChicago Wolves (WIN)D212003-04-15CANNo213 Lbs6 ft3NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------Lien
Logan StanleyChicago Wolves (WIN)D251998-05-26CANNo231 Lbs6 ft7NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien
Marcel MarcelChicago Wolves (WIN)LW202003-10-31CZENo242 Lbs6 ft4NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Martin ChromiakChicago Wolves (WIN)RW212002-08-20SVKNo187 Lbs6 ft0NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm820,000$0$0$No---------------------------Lien
Mason AppletonChicago Wolves (WIN)C281996-01-15USANo194 Lbs6 ft2NoNoFree AgentNoNo22024-08-30FalseFalsePro & Farm2,166,667$0$0$No2,166,667$--------2,166,667$--------No--------Lien
Maxim TsyplakovChicago Wolves (WIN)RW251998-09-19RUSNo210 Lbs6 ft3NoNoFree AgentNoNo12025-11-20FalseFalsePro & Farm1,550,000$0$0$No---------------------------Lien
Nico SturmChicago Wolves (WIN)C281995-05-03DEUNo209 Lbs6 ft3NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm1,999,999$0$0$No---------------------------Lien
Pheonix CopleyChicago Wolves (WIN)G321992-01-18USANo205 Lbs6 ft4NoNoFree AgentNoNo22024-09-07FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Philip TomasinoChicago Wolves (WIN)C222001-07-28CANNo190 Lbs6 ft0NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm1,005,001$0$0$No---------------------------Lien
Sam SteelChicago Wolves (WIN)C261998-02-03CANNo189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Sampo RantaChicago Wolves (WIN)LW232000-05-31FINNo195 Lbs6 ft2NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Scott MorrowChicago Wolves (WIN)D212002-11-01USAYes210 Lbs6 ft2NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Trevor van RiemsdykChicago Wolves (WIN)D321991-07-24USANo197 Lbs6 ft3NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm1,999,999$0$0$No---------------------------Lien / Lien NHL
Tristan LuneauChicago Wolves (WIN)D202004-01-12CANNo202 Lbs6 ft1NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm918,333$0$0$No918,333$--------918,333$--------No--------Lien
William VilleneuveChicago Wolves (WIN)D222002-03-20CANNo175 Lbs6 ft1NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm817,778$0$0$No---------------------------Lien
Xavier BouchardChicago Wolves (WIN)D242000-02-28CANYes190 Lbs6 ft4NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm775,000$0$0$No---------------------------
Xavier BourgaultChicago Wolves (WIN)RW212002-10-22CANNo172 Lbs6 ft0NoNoFree AgentNoNo12024-08-30FalseFalsePro & Farm1,167,500$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3223.63198 Lbs6 ft21.251,116,128$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason AppletonMaxim Tsyplakov40122
2Sampo RantaCalle JarnkrokArthur Kaliyev30122
3Mason AppletonSam SteelCalle Jarnkrok20122
4Sam SteelPhilip Tomasino10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistLogan Mailloux40122
2Trevor van RiemsdykScott Morrow30122
3Tristan LuneauLogan Stanley20122
4Adam BoqvistLogan Mailloux10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason AppletonMaxim Tsyplakov60122
2Sampo RantaCalle JarnkrokArthur Kaliyev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistLogan Mailloux60122
2Trevor van RiemsdykScott Morrow40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mason AppletonCalle Jarnkrok60122
2Sam Steel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistLogan Mailloux60122
2Trevor van RiemsdykScott Morrow40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mason Appleton60122Adam BoqvistLogan Mailloux60122
2Calle Jarnkrok40122Trevor van RiemsdykScott Morrow40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mason AppletonCalle Jarnkrok60122
2Sam Steel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistLogan Mailloux60122
2Trevor van RiemsdykScott Morrow40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason AppletonMaxim TsyplakovAdam BoqvistLogan Mailloux
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason AppletonMaxim TsyplakovAdam BoqvistLogan Mailloux
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nico Sturm, Alex Barre-Boulet, Dalibor DvorskyNico Sturm, Alex Barre-BouletDalibor Dvorsky
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tristan Luneau, Logan Stanley, Trevor van RiemsdykTristan LuneauLogan Stanley, Trevor van Riemsdyk
Tirs de pénalité
Mason Appleton, Calle Jarnkrok, Sam Steel, , Philip Tomasino
Gardien
#1 : Leevi Merilainen, #2 : Drew Commesso, #3 : Pheonix Copley
Lignes d’attaque personnalisées en prolongation
Mason Appleton, Calle Jarnkrok, Sam Steel, , Philip Tomasino, Nico Sturm, Maxim Tsyplakov, Arthur Kaliyev, Alex Barre-Boulet, Dalibor Dvorsky
Lignes de défense personnalisées en prolongation
Adam Boqvist, Logan Mailloux, Trevor van Riemsdyk, Scott Morrow, Tristan Luneau


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
1Hamilton Bulldogs642000001183321000006423210000054180.66711182902712171134861161474125484814133100.00%25484.00%212926049.62%14428450.70%9017950.28%263123274146309147
2Hershey Bears404000001121-1020200000612-62020000059-400.0001119300071217112686116147413553268815853.33%13561.54%012926049.62%14428450.70%9017950.28%263123274146309147
3Toronto Marlies440000001578220000009542200000062481.00015243901712171938611614746723306012541.67%16568.75%012926049.62%14428450.70%9017950.28%263123274146309147
Total1486000003736174300000212107430000016151160.57137619803712171353861161474327124104289301653.33%541474.07%212926049.62%14428450.70%9017950.28%263123274146309147
_Since Last GM Reset1486000003736174300000212107430000016151160.57137619803712171353861161474327124104289301653.33%541474.07%212926049.62%14428450.70%9017950.28%263123274146309147
_Vs Conference1486000003736174300000212107430000016151160.57137619803712171353861161474327124104289301653.33%541474.07%212926049.62%14428450.70%9017950.28%263123274146309147

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1416L337619835332712410428903
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
148600003736
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74300002121
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74300001615
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
301653.33%541474.07%2
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
861161474712171
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
12926049.62%14428450.70%9017950.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
263123274146309147


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
12Toronto Marlies4Chicago Wolves6WSommaire du match
310Toronto Marlies1Chicago Wolves3WSommaire du match
518Chicago Wolves2Toronto Marlies0WSommaire du match
726Chicago Wolves4Toronto Marlies2WSommaire du match
1558Hamilton Bulldogs0Chicago Wolves2WSommaire du match
1762Hamilton Bulldogs1Chicago Wolves3WSommaire du match
1966Chicago Wolves4Hamilton Bulldogs3WXSommaire du match
2170Chicago Wolves0Hamilton Bulldogs1LSommaire du match
2374Hamilton Bulldogs3Chicago Wolves1LSommaire du match
2578Chicago Wolves1Hamilton Bulldogs0WSommaire du match
2985Hershey Bears6Chicago Wolves5LXSommaire du match
3187Hershey Bears6Chicago Wolves1LSommaire du match
3389Chicago Wolves3Hershey Bears4LSommaire du match
3591Chicago Wolves2Hershey Bears5LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets10099
Assistance7,2512,627
Assistance PCT51.79%37.53%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 1411 - 47.04% 143,554$1,004,876$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,571,612$ 3,571,612$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Chicago Wolves Leaders statistiques 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