IceHogs

GP: 76 | W: 27 | L: 42 | OTL: 7 | P: 61
GF: 175 | GA: 232 | PP%: 16.22% | PK%: 79.84%
DG: Joanick Boilard | Morale : 26 | Moyenne d'Équipe : 56
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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
1Darren KramerX100.00585558627974665550555557557366143580
2Brody SutterX100.00565555555758585550555555557474127550
3Jayce Hawryluk (R)X100.00605570636762695550555555555050145550
4Sergey TolchinskyX100.00575566635959695550555557555050135550
5Thomas Di Pauli (R)X100.00605569636863545550555557555050146550
6Viktor SvedbergX100.00595559615959745925595959555353147570
7Keith Aulie (R)X100.00555555605555585525555555556363146550
8Josh Jacobs (R)X100.00555555605555665525555555555353145540
9Ryan Collins (R)X100.00555555605555555525555555555555137540
Rayé
1Stu BickelX100.00555555605555585525555555555657121540
MOYENNE D'ÉQUIPE100.0057556061616063553855555655585713955
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
1Justin Peters100.0057818378606063636761557671118650
2Jean-Francois Berube100.0058665667666660576169556062135610
MOYENNE D'ÉQUIPE100.005874707363636260646555686712763
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brent Thompson67897281735876CAN475100,000$


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'ÉquipePOS GP 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
1Darren KramerIceHogs (Chi)LW76272754-2411610246157290842019.31%17178223.45714217331001111704044.54%22900020.6102011445
2Viktor SvedbergIceHogs (Chi)D76124153-101141016694166411097.23%104168722.218162411433811222261028.57%700000.6300002253
3Thomas Di PauliIceHogs (Chi)RW76302050-910751921432546716911.81%21166021.8410919673190001785150.00%31000020.6001001612
4Ryan CollinsIceHogs (Chi)D76152944-20962011692132478811.36%73147919.47914238528500001861039.29%2800000.5900031123
5Josh JacobsIceHogs (Chi)D76132740-259801209886375815.12%68126316.627310351100000752129.17%4800000.6300000143
6Noah JuulsenChicago BlackhawksD44122840-46409311414941808.05%60107324.4011102110720400031592128.57%700000.7500000435
7Keith AulieIceHogs (Chi)D7672734-169351059014947814.70%69152620.094151910028500012111018.18%2200000.4500001111
8David KampfChicago BlackhawksC22917269240304458204615.52%1334215.591787431124701067.90%24300001.5200000320
9Sergey TolchinskyIceHogs (Chi)RW347916-6355523349195514.29%773821.73134111350000611036.21%11600000.4301000111
10Stu BickelIceHogs (Chi)D5331316-7601063526510474.62%3895518.031234010800001251018.18%3300000.3300000000
11Brody SutterIceHogs (Chi)C2147110160394633113212.12%345221.5725716770001490047.67%45100000.4900000001
12Nick JensenChicago BlackhawksD9437140159207620.00%1121624.072351540000043200.00%000000.6500000111
Stats d'équipe Total ou en Moyenne639143248391-11182765123797214514319729.86%4841318020.6363101164670226023513145821348.06%149400040.5904046242425
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
1Justin PetersIceHogs (Chi)64243370.8932.8436374217216150400.7147640344
2Jean-Francois BerubeIceHogs (Chi)141500.8973.2353901292810200.0000670110
Stats d'équipe Total ou en Moyenne78253870.8942.8941764320118960600.71477070454


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Brody SutterIceHogs (Chi)C251991-09-25No203 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Darren KramerIceHogs (Chi)LW251991-11-19No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Jayce HawrylukIceHogs (Chi)LW211996-01-01Yes188 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Jean-Francois BerubeIceHogs (Chi)G251991-07-13No177 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Josh JacobsIceHogs (Chi)D201996-02-14Yes200 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Justin PetersIceHogs (Chi)G301986-08-30No210 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Keith AulieIceHogs (Chi)D271989-06-11Yes222 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Ryan CollinsIceHogs (Chi)D201996-05-06Yes216 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Sergey TolchinskyIceHogs (Chi)RW211995-02-03No165 Lbs5 ft8NoNoNo1Contrat d'EntréePro & Farm608,000$0$0$No
Stu BickelIceHogs (Chi)D301986-10-01No210 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Thomas Di PauliIceHogs (Chi)RW221994-04-28Yes188 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Viktor SvedbergIceHogs (Chi)D251991-05-23No238 Lbs6 ft8NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1224.25202 Lbs6 ft22.25342,333$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Thomas Di Pauli40122
2Darren Kramer30122
3Darren Kramer20122
4Thomas Di Pauli10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor Svedberg40122
2Keith AulieRyan Collins30122
3Josh Jacobs20122
4Viktor Svedberg10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Thomas Di Pauli60122
2Darren Kramer40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor Svedberg60122
2Keith AulieRyan Collins40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Darren KramerThomas Di Pauli40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor Svedberg60122
2Keith AulieRyan Collins40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Viktor Svedberg60122
240122Keith AulieRyan Collins40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Darren KramerThomas Di Pauli40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor Svedberg60122
2Keith AulieRyan Collins40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Thomas Di PauliViktor Svedberg
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Thomas Di PauliViktor Svedberg
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Darren Kramer, Darren Kramer
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josh Jacobs, , Keith AulieJosh Jacobs, Keith Aulie
Tirs de Pénalité
, , Darren Kramer, Thomas Di Pauli,
Gardien
#1 : , #2 :


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
1Admirals1229001002850-22615000001324-11614001001526-1150.2082847750064515912575595836261731081142235981515.31%611673.77%0841212339.61%869240036.21%414110337.53%169811741980559898430
2Bears2110000023-11010000002-21100000021120.5002240064515914855958362617582330331119.09%15286.67%0841212339.61%869240036.21%414110337.53%169811741980559898430
3Griffins106400000261795320000012755320000014104120.600264571016451591230559583626172617215917553815.09%61690.16%0841212339.61%869240036.21%414110337.53%169811741980559898430
4Monsters40300001412-82010000146-22020000006-610.1254711006451591765595836261710729446221314.29%20575.00%0841212339.61%869240036.21%414110337.53%169811741980559898430
5Moose412001001113-22100010010552020000018-730.3751119300064515911135595836261711824367723313.04%17382.35%0841212339.61%869240036.21%414110337.53%169811741980559898430
6Penguins2020000048-41010000023-11010000025-300.000461000645159125559583626176517284313215.38%13469.23%0841212339.61%869240036.21%414110337.53%169811741980559898430
7Rampage825001001325-1241300000314-11412001001011-150.313132134006451591169559583626171865510415546613.04%38781.58%0841212339.61%869240036.21%414110337.53%169811741980559898430
8Roadrunners4210000178-1220000005322010000125-350.6257121900645159184559583626179621416624416.67%15380.00%1841212339.61%869240036.21%414110337.53%169811741980559898430
9Stars85200100242044210010010914310000014113110.688244266126451591250559583626172275592193431227.91%38489.47%0841212339.61%869240036.21%414110337.53%169811741980559898430
Total76264201502175232-573815200020189107-183811220130186125-39610.401175297472136451591177755958362617209954592114534447216.22%3827779.84%2841212339.61%869240036.21%414110337.53%169811741980559898430
11Wild1053011003329453200000161335210110017161130.650335891006451591278559583626172777086199471123.40%401172.50%0841212339.61%869240036.21%414110337.53%169811741980559898430
12Wolves12210000002347-24624000001421-760600000926-1740.167233861006451591247559583626173949815921565710.77%641675.00%1841212339.61%869240036.21%414110337.53%169811741980559898430
_Since Last GM Reset76264201502175232-573815200020189107-183811220130186125-39610.401175297472136451591177755958362617209954592114534447216.22%3827779.84%2841212339.61%869240036.21%414110337.53%169811741980559898430
_Vs Conference60223301400147188-41301217001006888-203010160130079100-21500.417147251398136451591143155958362617165543174211723525916.76%3026080.13%1841212339.61%869240036.21%414110337.53%169811741980559898430
_Vs Division161228002003055-258714000001924-58514002001131-20260.81330508000645159133155958362617490119200281891112.36%791975.95%2841212339.61%869240036.21%414110337.53%169811741980559898430

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7661L117529747217772099545921145313
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7626421502175232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
381520020189107
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
381122130186125
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4447216.22%3827779.84%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
559583626176451591
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
841212339.61%869240036.21%414110337.53%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
169811741980559898430


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
3 - 2018-09-072IceHogs0Monsters5LSommaire du Match
4 - 2018-09-0810IceHogs0Monsters1LSommaire du Match
11 - 2018-09-1550Stars3IceHogs2LXSommaire du Match
12 - 2018-09-1662Bears2IceHogs0LSommaire du Match
17 - 2018-09-2181IceHogs0Roadrunners2LSommaire du Match
18 - 2018-09-2295IceHogs2Roadrunners3LXXSommaire du Match
22 - 2018-09-26106Rampage4IceHogs0LSommaire du Match
25 - 2018-09-29120Monsters2IceHogs1LSommaire du Match
26 - 2018-09-30135Moose4IceHogs3LXSommaire du Match
31 - 2018-10-05149IceHogs3Admirals5LSommaire du Match
32 - 2018-10-06160Wild4IceHogs2LSommaire du Match
33 - 2018-10-07170IceHogs4Wild6LSommaire du Match
36 - 2018-10-10175Wild5IceHogs3LSommaire du Match
38 - 2018-10-12188IceHogs5Admirals2WSommaire du Match
39 - 2018-10-13200IceHogs2Wolves5LSommaire du Match
43 - 2018-10-17216IceHogs3Griffins1WSommaire du Match
45 - 2018-10-19231IceHogs4Stars2WSommaire du Match
46 - 2018-10-20247IceHogs1Rampage2LXSommaire du Match
49 - 2018-10-23254IceHogs4Rampage5LSommaire du Match
52 - 2018-10-26272Wolves4IceHogs1LSommaire du Match
53 - 2018-10-27280IceHogs3Admirals6LSommaire du Match
54 - 2018-10-28294IceHogs0Wolves2LSommaire du Match
60 - 2018-11-03326Admirals4IceHogs3LSommaire du Match
61 - 2018-11-04337Rampage1IceHogs2WSommaire du Match
66 - 2018-11-09356Griffins2IceHogs3WSommaire du Match
67 - 2018-11-10367Wolves5IceHogs0LSommaire du Match
73 - 2018-11-16392IceHogs3Griffins2WSommaire du Match
74 - 2018-11-17407Stars0IceHogs2WSommaire du Match
75 - 2018-11-18420Griffins1IceHogs3WSommaire du Match
78 - 2018-11-21431Admirals3IceHogs1LSommaire du Match
80 - 2018-11-23443IceHogs1Wolves5LSommaire du Match
85 - 2018-11-28466IceHogs4Wild3WXSommaire du Match
87 - 2018-11-30483Wolves1IceHogs3WSommaire du Match
88 - 2018-12-01495IceHogs3Wolves5LSommaire du Match
90 - 2018-12-03507IceHogs1Griffins2LSommaire du Match
92 - 2018-12-05516Admirals1IceHogs2WSommaire du Match
94 - 2018-12-07527IceHogs2Wild3LXSommaire du Match
96 - 2018-12-09550Wild2IceHogs4WSommaire du Match
101 - 2018-12-14569IceHogs2Stars0WSommaire du Match
103 - 2018-12-16589IceHogs5Rampage3WSommaire du Match
106 - 2018-12-19602IceHogs0Rampage1LSommaire du Match
108 - 2018-12-21611Griffins1IceHogs0LSommaire du Match
109 - 2018-12-22627IceHogs3Wolves5LSommaire du Match
111 - 2018-12-24637IceHogs2Wild1WSommaire du Match
115 - 2018-12-28663Moose1IceHogs7WSommaire du Match
116 - 2018-12-29676Wild1IceHogs2WSommaire du Match
122 - 2019-01-04691Wolves3IceHogs7WSommaire du Match
123 - 2019-01-05706IceHogs2Admirals3LXSommaire du Match
127 - 2019-01-09720Penguins3IceHogs2LSommaire du Match
129 - 2019-01-11730Roadrunners1IceHogs2WSommaire du Match
130 - 2019-01-12744Roadrunners2IceHogs3WSommaire du Match
133 - 2019-01-15759Stars4IceHogs3LSommaire du Match
137 - 2019-01-19785Wild1IceHogs5WSommaire du Match
138 - 2019-01-20800Rampage3IceHogs0LSommaire du Match
141 - 2019-01-23810IceHogs5Griffins2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2019-01-26833IceHogs2Bears1WSommaire du Match
145 - 2019-01-27843IceHogs2Penguins5LSommaire du Match
147 - 2019-01-29847IceHogs0Wolves4LSommaire du Match
151 - 2019-02-02873Griffins3IceHogs2LSommaire du Match
158 - 2019-02-09911IceHogs0Moose4LSommaire du Match
159 - 2019-02-10924IceHogs1Moose4LSommaire du Match
164 - 2019-02-15948IceHogs2Griffins3LSommaire du Match
165 - 2019-02-16960Monsters4IceHogs3LXXSommaire du Match
166 - 2019-02-17970Stars2IceHogs3WSommaire du Match
169 - 2019-02-20981Wolves5IceHogs1LSommaire du Match
171 - 2019-02-22989IceHogs1Admirals7LSommaire du Match
172 - 2019-02-23998Admirals5IceHogs4LSommaire du Match
176 - 2019-02-271023Admirals6IceHogs2LSommaire du Match
179 - 2019-03-021045Griffins0IceHogs4WSommaire du Match
180 - 2019-03-031056Wolves3IceHogs2LSommaire du Match
182 - 2019-03-051060Rampage6IceHogs1LSommaire du Match
185 - 2019-03-081080IceHogs5Stars4WSommaire du Match
186 - 2019-03-091094IceHogs3Stars5LSommaire du Match
189 - 2019-03-121106IceHogs1Admirals3LSommaire du Match
193 - 2019-03-161132IceHogs5Wild3WSommaire du Match
194 - 2019-03-171149Admirals5IceHogs1LSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
149,549$ 41,080$ 15,080$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 49,558$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 727$ 0$




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
1376264201502175232-573815200020189107-183811220130186125-3961175297472136451591177755958362617209954592114534447216.22%3827779.84%2841212339.61%869240036.21%414110337.53%169811741980559898430
Total Saison Régulière76264201502175232-573815200020189107-183811220130186125-3961175297472136451591177755958362617209954592114534447216.22%3827779.84%2841212339.61%869240036.21%414110337.53%169811741980559898430
Séries
1240400000624-1820200000610-420200000014-1406111700222088303226014331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421
1240400000624-1820200000610-420200000014-1406111700222088303226014331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421
Total Séries808000001248-36404000001220-840400000028-2801222340044401766064520286628015634411.76%401270.00%010424642.28%6823828.57%5413440.30%165112229548842