IceHogs

GP: 26 | W: 5 | L: 17 | OTL: 4 | P: 14
GF: 51 | GA: 87 | PP%: 15.33% | PK%: 76.23%
DG: Joanick Boilard | Morale : 32 | Moyenne d'Équipe : 59
Prochain matchs #392 vs Griffins
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Matt MartinX98.00995559779885746964686570558274152700
2Matthew Highmore (R)X98.00665581706671826450606361555050138610
3Darren KramerX98.00585558627974665550555557557366138580
4Brody SutterX98.00565555555758585550555555557474124550
5Sergey TolchinskyX98.00575566635959695550555557555050138550
6Thomas Di Pauli (R)X98.00605569636863545550555557555050138550
7Noah Juulsen (R)X100.00815592815678556825616180557067138680
8Viktor SvedbergX100.00595559615959745925595959555353139570
9Keith Aulie (R)X100.00555555605555585525555555556363139550
10Josh Jacobs (R)X100.00555555605555665525555555555353138540
11Ryan Collins (R)X100.00555555605555555525555555555555135540
12Stu BickelX100.00555555605555585525555555555657138540
Rayé
MOYENNE D'ÉQUIPE99.0063556364646464583957576055615913858
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
1Justin Peters97.0057818378606063636761557671119650
2Jean-Francois Berube100.0058665667666660576169556062138610
Rayé
MOYENNE D'ÉQUIPE98.505874707363636260646555686712963
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
1Matthew HighmoreIceHogs (Chi)C2611920-9140298478227114.10%963924.60347131070002951045.39%82400010.6301000400
2Noah JuulsenIceHogs (Chi)D2671320-644065729925477.07%3464424.816410661160002771033.33%600000.6200000211
3Josh JacobsIceHogs (Chi)D265914-16140283627131218.52%1447918.4241511560000421028.26%4600000.5800000021
4Sergey TolchinskyIceHogs (Chi)RW265712-7140362634124214.71%757822.251236970000510038.30%9400000.4101000011
5Viktor SvedbergIceHogs (Chi)D2621012-42752826246278.33%2358722.59156101030000820028.57%700000.4100001011
6Brody SutterIceHogs (Chi)C194711-2140384031113012.90%341521.8725715710001460046.79%42100000.5300000001
7Thomas Di PauliIceHogs (Chi)RW264711-1118058355315457.55%457322.05224151110001241040.91%6600000.3800000100
8Ryan CollinsIceHogs (Chi)D265611-13295462839132412.82%2055221.24145171050000550040.74%2700000.4000010000
9Darren KramerIceHogs (Chi)LW26369-1228052345612285.36%365125.07123161110001900061.29%6200000.2801000001
10Stu BickelIceHogs (Chi)D26268-632102922406295.00%2153720.6511228900000651018.75%3200000.3000000000
11Keith AulieIceHogs (Chi)D26257-935534204110204.88%2355121.2313427980000670022.22%1800000.2500001010
12Nick JensenChicago BlackhawksD9437140159207620.00%1121624.072351540000043200.00%000000.6500000111
13Matt MartinIceHogs (Chi)LW4123-1100301075714.29%010726.860221220000110045.90%6100000.5600000001
Stats d'équipe Total ou en Moyenne2925590145-952832548844254915738810.02%172653522.38253863240113200077547044.35%166400010.4403012878
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)2651740.8703.43143400826290100.5002260012
2Jean-Francois BerubeIceHogs (Chi)50000.9201.85130004500000.0000026000
Stats d'équipe Total ou en Moyenne3151740.8733.30156400866790100.50022626012


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Brody SutterIceHogs (Chi)C251991-09-25No203 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Darren KramerIceHogs (Chi)LW251991-11-19No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$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$0$No300,000$300,000$
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$0$No300,000$300,000$
Matt MartinIceHogs (Chi)LW271989-05-07No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Matthew HighmoreIceHogs (Chi)C201996-02-27Yes181 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Noah JuulsenIceHogs (Chi)D191997-04-02Yes185 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Ryan CollinsIceHogs (Chi)D201996-05-06Yes216 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
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$0$No300,000$300,000$
Viktor SvedbergIceHogs (Chi)D251991-05-23No238 Lbs6 ft8NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1424.00201 Lbs6 ft22.36386,286$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt MartinMatthew HighmoreThomas Di Pauli40122
2Darren KramerBrody SutterSergey Tolchinsky30122
3Matthew HighmoreMatt MartinDarren Kramer20122
4Sergey TolchinskyThomas Di PauliBrody Sutter10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah JuulsenViktor Svedberg40122
2Keith AulieRyan Collins30122
3Josh JacobsStu Bickel20122
4Noah JuulsenViktor Svedberg10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt MartinMatthew HighmoreThomas Di Pauli60122
2Darren KramerBrody SutterSergey Tolchinsky40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah JuulsenViktor Svedberg60122
2Keith AulieRyan Collins40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt MartinMatthew Highmore60122
2Darren KramerThomas Di Pauli40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah JuulsenViktor Svedberg60122
2Keith AulieRyan Collins40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matt Martin60122Noah JuulsenViktor Svedberg60122
2Matthew Highmore40122Keith AulieRyan Collins40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt MartinMatthew Highmore60122
2Darren KramerThomas Di Pauli40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah JuulsenViktor Svedberg60122
2Keith AulieRyan Collins40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt MartinMatthew HighmoreThomas Di PauliNoah JuulsenViktor Svedberg
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt MartinMatthew HighmoreThomas Di PauliNoah JuulsenViktor Svedberg
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sergey Tolchinsky, Brody Sutter, Darren KramerSergey Tolchinsky, Brody SutterDarren Kramer
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josh Jacobs, Stu Bickel, Keith AulieJosh JacobsStu Bickel, Keith Aulie
Tirs de Pénalité
Matt Martin, Matthew Highmore, Darren Kramer, Thomas Di Pauli, Sergey Tolchinsky
Gardien
#1 : Justin Peters, #2 : Jean-Francois Berube


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
1Admirals413000001417-31010000034-1312000001113-220.25014253900211911078186171200510025497630723.33%20480.00%033674345.22%32779341.24%14438237.70%585398665197315154
2Bears1010000002-21010000002-20000000000000.00000000211911022186171200525121217500.00%6266.67%033674345.22%32779341.24%14438237.70%585398665197315154
3Griffins22000000633110000003211100000031241.00061117002119110391861712005439263310330.00%12283.33%033674345.22%32779341.24%14438237.70%585398665197315154
4Monsters3030000018-71010000012-12020000006-600.000123002119110641861712005732026461815.56%11463.64%033674345.22%32779341.24%14438237.70%585398665197315154
5Moose1000010034-11000010034-10000000000010.5003470021191104118617120052648184125.00%4175.00%033674345.22%32779341.24%14438237.70%585398665197315154
6Rampage41200100712-52110000025-32010010057-230.375712190021191108718617120058129488320210.00%14378.57%033674345.22%32779341.24%14438237.70%585398665197315154
7Roadrunners2010000125-3000000000002010000125-310.250246002119110351861712005591420331119.09%7271.43%033674345.22%32779341.24%14438237.70%585398665197315154
8Stars210001006511000010023-11100000042230.75061218002119110551861712005429284311218.18%14378.57%033674345.22%32779341.24%14438237.70%585398665197315154
Total26517003015187-361228002002040-201439001013147-16140.269519214300211911055918617120056791692934991502315.33%1222976.23%033674345.22%32779341.24%14438237.70%585398665197315154
10Wild30300000915-62020000059-41010000046-200.000917260021191107118617120059717306617423.53%14564.29%033674345.22%32779341.24%14438237.70%585398665197315154
11Wolves40400000316-132020000019-82020000027-500.0003580021191106718617120051333046842428.33%20385.00%033674345.22%32779341.24%14438237.70%585398665197315154
_Since Last GM Reset26517003015187-361228002002040-201439001013147-16140.269519214300211911055918617120056791692934991502315.33%1222976.23%033674345.22%32779341.24%14438237.70%585398665197315154
_Vs Conference19512002004568-23926001001632-161036001002936-7120.316458212700211911039718617120054961192273851122017.86%942078.72%033674345.22%32779341.24%14438237.70%585398665197315154
_Vs Division64900100521-162240000019-842500100412-890.7505914002119110102186171200519244661173538.57%27581.48%033674345.22%32779341.24%14438237.70%585398665197315154

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2614L1519214355967916929349900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2651703015187
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
122802002040
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
143901013147
Derniers 10 Matchs
WLOTWOTL SOWSOL
360100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1502315.33%1222976.23%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
18617120052119110
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
33674345.22%32779341.24%14438237.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
585398665197315154


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 - 2018-11-16392IceHogs-Griffins-
74 - 2018-11-17407Stars-IceHogs-
75 - 2018-11-18420Griffins-IceHogs-
78 - 2018-11-21431Admirals-IceHogs-
80 - 2018-11-23443IceHogs-Wolves-
85 - 2018-11-28466IceHogs-Wild-
87 - 2018-11-30483Wolves-IceHogs-
88 - 2018-12-01495IceHogs-Wolves-
90 - 2018-12-03507IceHogs-Griffins-
92 - 2018-12-05516Admirals-IceHogs-
94 - 2018-12-07527IceHogs-Wild-
96 - 2018-12-09550Wild-IceHogs-
101 - 2018-12-14569IceHogs-Stars-
103 - 2018-12-16589IceHogs-Rampage-
106 - 2018-12-19602IceHogs-Rampage-
108 - 2018-12-21611Griffins-IceHogs-
109 - 2018-12-22627IceHogs-Wolves-
111 - 2018-12-24637IceHogs-Wild-
115 - 2018-12-28663Moose-IceHogs-
116 - 2018-12-29676Wild-IceHogs-
122 - 2019-01-04691Wolves-IceHogs-
123 - 2019-01-05706IceHogs-Admirals-
127 - 2019-01-09720Penguins-IceHogs-
129 - 2019-01-11730Roadrunners-IceHogs-
130 - 2019-01-12744Roadrunners-IceHogs-
133 - 2019-01-15759Stars-IceHogs-
137 - 2019-01-19785Wild-IceHogs-
138 - 2019-01-20800Rampage-IceHogs-
141 - 2019-01-23810IceHogs-Griffins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2019-01-26833IceHogs-Bears-
145 - 2019-01-27843IceHogs-Penguins-
147 - 2019-01-29847IceHogs-Wolves-
151 - 2019-02-02873Griffins-IceHogs-
158 - 2019-02-09911IceHogs-Moose-
159 - 2019-02-10924IceHogs-Moose-
164 - 2019-02-15948IceHogs-Griffins-
165 - 2019-02-16960Monsters-IceHogs-
166 - 2019-02-17970Stars-IceHogs-
169 - 2019-02-20981Wolves-IceHogs-
171 - 2019-02-22989IceHogs-Admirals-
172 - 2019-02-23998Admirals-IceHogs-
176 - 2019-02-271023Admirals-IceHogs-
179 - 2019-03-021045Griffins-IceHogs-
180 - 2019-03-031056Wolves-IceHogs-
182 - 2019-03-051060Rampage-IceHogs-
185 - 2019-03-081080IceHogs-Stars-
186 - 2019-03-091094IceHogs-Stars-
189 - 2019-03-121106IceHogs-Admirals-
193 - 2019-03-161132IceHogs-Wild-
194 - 2019-03-171149Admirals-IceHogs-



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
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
53,168$ 54,080$ 15,080$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 18,661$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 127 794$ 100,838$




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
1326517003015187-361228002002040-201439001013147-1614519214300211911055918617120056791692934991502315.33%1222976.23%033674345.22%32779341.24%14438237.70%585398665197315154
Total Saison Régulière26517003015187-361228002002040-201439001013147-1614519214300211911055918617120056791692934991502315.33%1222976.23%033674345.22%32779341.24%14438237.70%585398665197315154
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