CHICAGO Wolves

GP: 7 | W: 1 | L: 6 | OTL: 0 | P: 2
GF: 12 | GA: 69 | PP%: 0.00% | PK%: 100.00%
DG: Lukas Tremblay | Morale : 98 | Moyenne d'Équipe : 58
Prochain matchs #103 vs BRIDGEPORT Sound Tigers
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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 SP
Rayé
1Kyle Baun0X100.006943716080588855505753605350504292620
2Shane Prince0XX100.005941826967773558305959596455536492600
3Alexander Volkov0X100.005189597076505070506363586350504492600
4Rourke Chartier0X100.005435726870585668705960556151505492600
5Blaine Byron0X100.005089717069505070506363516350504392590
6Justin Auger0X100.007089725599505055505555505550505992580
7Alexander Khokhlachev0XX100.004535807561494162425958596558497992570
8Dominic Turgeon0X100.005535636380515263695353515350506792570
9Jake Dotchin0X100.007150636385616063305552636354514792610
10Xavier Ouellet0X100.005650726874595968305449586056526992600
11Joe Hicketts0X100.005335626664555566304844575551504492550
12Mark Friedman0X100.005035576469505064304843505350506292530
MOYENNE D'ÉQUIPE100.00575269667556546444565456595250569259
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 SP
Rayé
1Stephon Williams (R)100.00455265776047484949505560497192490
MOYENNE D'ÉQUIPE100.0045526577604748494950556049719249
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ralph Krueger66666666777752CAN61281,800$


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
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


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander KhokhlachevCHICAGO Wolves (STL)C/LW251993-09-09No82 Kg178 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$No
Alexander VolkovCHICAGO Wolves (STL)LW221997-08-02No87 Kg185 CMNoNoNo4Pro & Farm850,000$773,423$850,000$773,423$0$0$No850,000$850,000$850,000$Lien
Blaine ByronCHICAGO Wolves (STL)C241995-02-21No78 Kg183 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Dominic TurgeonCHICAGO Wolves (STL)C231996-02-25No91 Kg188 CMNoNoNo4Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$Lien
Jake DotchinCHICAGO Wolves (STL)D251994-03-24No95 Kg191 CMNoNoNo4Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$Lien
Joe HickettsCHICAGO Wolves (STL)D231996-05-04No82 Kg173 CMNoNoNo3Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$Lien
Justin AugerCHICAGO Wolves (STL)RW251994-05-14No105 Kg198 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Kyle BaunCHICAGO Wolves (STL)RW271992-05-04No95 Kg188 CMNoNoNo0Pro & Farm0$0$NoLien
Mark FriedmanCHICAGO Wolves (STL)D231995-12-25No84 Kg180 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Rourke ChartierCHICAGO Wolves (STL)C231996-04-03No86 Kg180 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Shane PrinceCHICAGO Wolves (STL)C/LW261992-11-16No88 Kg180 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Stephon WilliamsCHICAGO Wolves (STL)G261993-04-28Yes89 Kg191 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$
Xavier OuelletCHICAGO Wolves (STL)D261993-07-29No89 Kg183 CMNoNoNo6Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1324.4689 Kg185 CM2.31700,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
131122
226122
323122
420122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
131122
226122
323122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
245122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,
Lignes de Défense Perso. en Prol.
, , , ,


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
LigueDomicileVisiteur
# 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
1COLORADO Eagles1010000009-91010000009-90000000000000.00000000714045241450702101400.00%000.00%0398545.88%6419932.16%5313539.26%6237289426823
2CORNWALL Aces11000000642110000006420000000000021.000612180071406552414504412027100.00%000.00%0398545.88%6419932.16%5313539.26%6237289426823
3MONT-LAURIER Sommet10100000013-1310100000013-130000000000000.00000000714075241450882602000.00%000.00%0398545.88%6419932.16%5313539.26%6237289426823
4Marlies de Toronto10100000510-50000000000010100000510-500.000510150071404652414506316025000.00%000.00%0398545.88%6419932.16%5313539.26%6237289426823
5PROVIDENCE Bruins10100000010-1010100000010-100000000000000.00000000714095241450812626100.00%10100.00%0398545.88%6419932.16%5313539.26%6237289426823
6TUSCON Roadrunners20200000123-220000000000020200000123-2200.000123007140752414501966208200.00%000.00%0398545.88%6419932.16%5313539.26%6237289426823
Total716000001269-5741300000636-3030300000633-2720.1431224360071401385241450542163269800.00%10100.00%0398545.88%6419932.16%5313539.26%6237289426823
_Since Last GM Reset716000001269-5741300000636-3030300000633-2720.1431224360071401385241450542163269800.00%10100.00%0398545.88%6419932.16%5313539.26%6237289426823
_Vs Conference50500000652-4620200000019-1930300000633-2700.00061218007140665241450410125240700.00%10100.00%0398545.88%6419932.16%5313539.26%6237289426823
_Vs Division1010000009-91010000009-90000000000000.00000000714045241450702101400.00%000.00%0398545.88%6419932.16%5313539.26%6237289426823

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
72L412243613854216326900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
71600001269
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4130000636
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3030000633
Derniers 10 Matchs
WLOTWOTL SOWSOL
160000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
800.00%10100.00%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
52414507140
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
398545.88%6419932.16%5313539.26%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
6237289426823


Derniers Match 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
1 - 2020-01-156CHICAGO Wolves1TUSCON Roadrunners11LSommaire du Match
2 - 2020-01-1623MONT-LAURIER Sommet13CHICAGO Wolves0LSommaire du Match
3 - 2020-01-1732CORNWALL Aces4CHICAGO Wolves6WSommaire du Match
4 - 2020-01-1844CHICAGO Wolves5Marlies de Toronto10LSommaire du Match
5 - 2020-01-1957PROVIDENCE Bruins10CHICAGO Wolves0LR3Sommaire du Match
7 - 2020-01-2176CHICAGO Wolves0TUSCON Roadrunners12LSommaire du Match
9 - 2020-01-2388COLORADO Eagles9CHICAGO Wolves0LSommaire du Match
12 - 2020-01-26103CHICAGO Wolves-BRIDGEPORT Sound Tigers-
13 - 2020-01-27114CHICAGO Wolves-COLORADO Eagles-
15 - 2020-01-29127LAVAL Rockets-CHICAGO Wolves-
17 - 2020-01-31135PROVIDENCE Bruins-CHICAGO Wolves-
20 - 2020-02-03156CHICAGO Wolves-UTICA Comets-
21 - 2020-02-04166SAN DIEGO Gulls-CHICAGO Wolves-
23 - 2020-02-06183TUSCON Roadrunners-CHICAGO Wolves-
24 - 2020-02-07199CHICAGO Wolves-ROCKFORD IceHogs-
25 - 2020-02-08207CHICAGO Wolves-Marlies de Toronto-
27 - 2020-02-10219PROVIDENCE Bruins-CHICAGO Wolves-
28 - 2020-02-11237SAN DIEGO Gulls-CHICAGO Wolves-
29 - 2020-02-12254CHICAGO Wolves-BROOKLYN Wolfpack-
31 - 2020-02-14263CHICAGO Wolves-MONT-LAURIER Sommet-
32 - 2020-02-15270Syracruse Crunch-CHICAGO Wolves-
33 - 2020-02-16290LAVAL Rockets-CHICAGO Wolves-
34 - 2020-02-17303CHICAGO Wolves-STOCKTON Flames-
35 - 2020-02-18309CHICAGO Wolves-TUSCON Roadrunners-
37 - 2020-02-20323TUSCON Roadrunners-CHICAGO Wolves-
38 - 2020-02-21340HERSEY Bears-CHICAGO Wolves-
39 - 2020-02-22348CHICAGO Wolves-IOWA Wild-
41 - 2020-02-24369Binghampton Devils-CHICAGO Wolves-
43 - 2020-02-26390LEHIGH VALLEY Phantoms-CHICAGO Wolves-
44 - 2020-02-27399CHICAGO Wolves-VICTORIAVILLE Tigres-
45 - 2020-02-28416VICTORIAVILLE Tigres-CHICAGO Wolves-
46 - 2020-02-29427CHICAGO Wolves-Manitoba Moose-
47 - 2020-03-01441UTICA Comets-CHICAGO Wolves-
49 - 2020-03-03457CHICAGO Wolves-TUSCON Roadrunners-
50 - 2020-03-04469WILKIES-BARRIE Penguins-CHICAGO Wolves-
52 - 2020-03-06478CHICAGO Wolves-VICTORIAVILLE Tigres-
53 - 2020-03-07491CHICAGO Wolves-ROCKFORD IceHogs-
54 - 2020-03-08501HOLLYWOOD Oscar-CHICAGO Wolves-
56 - 2020-03-10520BRIDGEPORT Sound Tigers-CHICAGO Wolves-
58 - 2020-03-12536CHICAGO Wolves-HOLLYWOOD Oscar-
59 - 2020-03-13542CHICAGO Wolves-UTICA Comets-
60 - 2020-03-14553UTICA Comets-CHICAGO Wolves-
61 - 2020-03-15565CHICAGO Wolves-BELLEVILLE Senators-
62 - 2020-03-16577COLORADO Eagles-CHICAGO Wolves-
63 - 2020-03-17598Manitoba Moose-CHICAGO Wolves-
64 - 2020-03-18601CHICAGO Wolves-Binghampton Devils-
65 - 2020-03-19621CORNWALL Aces-CHICAGO Wolves-
67 - 2020-03-21632CHICAGO Wolves-Marlies de Toronto-
68 - 2020-03-22645CHICAGO Wolves-LAVAL Rockets-
69 - 2020-03-23656Marlies de Toronto-CHICAGO Wolves-
70 - 2020-03-24669CHICAGO Wolves-COLORADO Eagles-
71 - 2020-03-25680CHICAGO Wolves-HERSEY Bears-
72 - 2020-03-26688IOWA Wild-CHICAGO Wolves-
74 - 2020-03-28707CHICAGO Wolves-BROOKLYN Wolfpack-
75 - 2020-03-29717MONT-LAURIER Sommet-CHICAGO Wolves-
76 - 2020-03-30732BELLEVILLE Senators-CHICAGO Wolves-
77 - 2020-03-31749CHICAGO Wolves-PV Sharapovas-
78 - 2020-04-01758CHICAGO Wolves-BRIDGEPORT Sound Tigers-
79 - 2020-04-02766Marlies de Toronto-CHICAGO Wolves-
80 - 2020-04-03784CHICAGO Wolves-PROVIDENCE Bruins-
81 - 2020-04-04792STOCKTON Flames-CHICAGO Wolves-
82 - 2020-04-05804CHICAGO Wolves-Syracruse Crunch-
84 - 2020-04-07818MILWAUKEE Admirals-CHICAGO Wolves-
85 - 2020-04-08836ROCKFORD IceHogs-CHICAGO Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11859BRIDGEPORT Sound Tigers-CHICAGO Wolves-
89 - 2020-04-12873CHICAGO Wolves-LEHIGH VALLEY Phantoms-
90 - 2020-04-13882CHICAGO Wolves-LAVAL Rockets-
91 - 2020-04-14890MILWAUKEE Admirals-CHICAGO Wolves-
92 - 2020-04-15911PV Sharapovas-CHICAGO Wolves-
93 - 2020-04-16921CHICAGO Wolves-PROVIDENCE Bruins-
94 - 2020-04-17935BROOKLYN Wolfpack-CHICAGO Wolves-
96 - 2020-04-19954CHICAGO Wolves-CORNWALL Aces-
97 - 2020-04-20961CHICAGO Wolves-MILWAUKEE Admirals-
98 - 2020-04-21970MONT-LAURIER Sommet-CHICAGO Wolves-
99 - 2020-04-22988BROOKLYN Wolfpack-CHICAGO Wolves-
102 - 2020-04-251012CHICAGO Wolves-MILWAUKEE Admirals-
103 - 2020-04-261016ROCKFORD IceHogs-CHICAGO Wolves-
104 - 2020-04-271017CHICAGO Wolves-SAN DIEGO Gulls-
105 - 2020-04-281032CHICAGO Wolves-WILKIES-BARRIE Penguins-
107 - 2020-04-301045HERSEY Bears-CHICAGO Wolves-
108 - 2020-05-011046CHICAGO Wolves-SAN DIEGO Gulls-
109 - 2020-05-021062CHICAGO Wolves-HERSEY Bears-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
89,350$ 910,000$ 910,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 81,980$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 101 8,935$ 902,435$




LigueDomicileVisiteur
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
33716000001269-5741300000636-3030300000633-2721224360071401385241450542163269800.00%10100.00%0398545.88%6419932.16%5313539.26%6237289426823
Total Saison Régulière716000001269-5741300000636-3030300000633-2721224360071401385241450542163269800.00%10100.00%0398545.88%6419932.16%5313539.26%6237289426823