IceHogs

GP: 44 | W: 34 | L: 8 | OTL: 2 | P: 70
GF: 139 | GA: 94 | PP%: 15.69% | PK%: 87.92%
DG: Jonathan Samuel | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #492 vs 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 SPÂgeContratSalaire
1Alex BroadhurstX100.00726394616366686075565765545555615000272725,000$
2Brendan GaunceXX100.00807981717972756580596471616060675000264700,000$
3Carsen TwarynskiX100.00924691667357755626505864254545625000222925,000$
4Dylan SikuraXXX100.006658866158808464806162615947476450002521,187,500$
5Julien GauthierX100.007344866984518556346455532547476150002221,163,333$
6Kole LindX100.006866716766717363506359615644446250002121,125,000$
7John HaydenXX100.00859953738554665732525873255959625000252750,000$
8Luke JohnsonX100.00717072677070726480566763644545665000252925,000$
9Riley NashXX100.007644947971618857766258738570716550003122,750,000$
10Ryan HartmanXX100.006772728368629362616364742564656841002511,900,000$
11Frederik GauthierX100.00764594708854835780586080256364665000253675,000$
12Justin BaileyX100.00797979757975776850597170675252713800242700,000$
13Adam Ruzicka (R)XXX100.00827792637760615974565767544444625000213850,000$
14Lucas Elvenes (R)XX100.00736590656567686550685864554444645000203776,667$
15Tommy Novak (R)X100.00736690686667686379655763544444635000233823,750$
16Connor CarrickX100.007364837770645658255248772565656150002611,000,000$
17Kyle CapobiancoX100.006766696466646464255955615245456250002211,000,000$
18Gustav ForslingX100.00736884686867705625474865465959595000242925,000$
19Robert BortuzzoX100.008158857082616854254948752566686040003111,150,000$
Rayé
1Vinnie HinostrozaXX100.007142928161648760407058746362626749002611,500,000$
2Andreas MartinsenXX100.00848287608259624950444570436464555000301675,600$
3Alexandre CarrierX100.006763776863788458255742624055555750002311,000,000$
4Michael PaliottaX100.00777874637849514525353961374444505000272600,000$
5Joseph Duszak (R)X100.006866716766555460255946604444445750002211,000,000$
MOYENNE D'ÉQUIPE100.0075658269726472595057566746545462490
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
1Alex Nedeljkovic100.0060729070566658656362304444625000
2Matt Tomkins (R)100.0052637979495350574949304444535000
Rayé
1Stuart Skinner100.0050546881485150555050304444514600
MOYENNE D'ÉQUIPE100.005463797751575359545430444455490
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo75858080686380CAN4832,750,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Riley NashIceHogs (CHI)C/RW4416274378028116100256716.00%1294921.58515202620610121644159.24%84400010.9125000383
2Justin BaileyIceHogs (CHI)RW3917223931957071113297015.04%1286222.1178154118802231625147.59%35300000.9012001632
3Brendan GaunceIceHogs (CHI)C/LW44142236-13357976115269012.17%1186719.7341216302190000831166.67%15300000.8314100254
4Tommy NovakIceHogs (CHI)C44331341436050435419325.56%1978317.80291141170000001067.12%7300000.8700000301
5Frederik GauthierIceHogs (CHI)C4412213371001810198329012.24%1079918.173811281800007853066.33%68300000.8311000343
6Robert HaggBlackhawksD41721289760935064123610.94%3690822.1641115432010000102400.00%000000.6200000103
7Dylan SikuraIceHogs (CHI)C/LW/RW4410142460033373156113.70%370816.10561128193000021166.67%3000000.6800000311
8John HaydenIceHogs (CHI)LW/RW44121123956101107085225314.12%371516.2733618195000042250.00%3600000.6400101324
9Luke JohnsonIceHogs (CHI)C44815231341554798220509.76%1158213.2400037000001158.81%43700000.7900100222
10Lucas ElvenesIceHogs (CHI)LW/RW449132210120304762134514.52%758013.20112219000001060.00%2500000.7600000051
11Kole LindIceHogs (CHI)RW447815424010213242621.87%12696.132247540000172057.50%12000101.1100000111
12Julien GauthierIceHogs (CHI)RW4366121010025323552317.14%253612.4700000000002035.71%2800000.4500000102
13Alex BroadhurstIceHogs (CHI)C371892801718103910.00%1047212.7800002000021050.00%200000.3800000200
14Gustav ForslingIceHogs (CHI)D2945981001215164525.00%1566823.04314101310001107100.00%000000.2700000000
15Carsen TwarynskiIceHogs (CHI)LW4317846551012217595.88%2360314.0400000000000140.00%500000.2700000002
16Ryan HartmanIceHogs (CHI)C/RW4134-30011283412.50%08320.851123180000120054.12%8500000.9600000010
17Adam RuzickaIceHogs (CHI)C/LW/RW4231422015162232513.64%01663.9500014000041065.22%2300000.4800000000
18Robert BortuzzoIceHogs (CHI)D4213-310042202100.00%38220.5110111600008100.00%000000.7300000001
19Anthony LouisBlackhawksC/LW241122001241625.00%0773.241013200000280064.29%1400000.5100000000
20Andreas MartinsenIceHogs (CHI)LW/RW23022280654030.00%91396.060223340001520053.33%1500000.2900000000
21Connor CarrickIceHogs (CHI)D4011-460253230.00%38621.50011215000010000.00%000000.2300000000
22Kyle CapobiancoIceHogs (CHI)D4000020823000.00%08521.42000317000013000.00%000000.0000000000
23Joakim NordstromBlackhawksC/LW1000100111010.00%01717.820001200000000.00%000000.0000000000
24Michael PaliottaIceHogs (CHI)D2300044353444250.00%1443719.01000289000070000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne75713424037410647935772843100724571513.31%2041148515.17428012229619921231493331859.54%292600110.65512302303230
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
1Alex NedeljkovicIceHogs (CHI)4434820.8852.08257362897750210.69213440202
2Matt TomkinsIceHogs (CHI)10000.8752.142800180100.000004000
Stats d'équipe Total ou en Moyenne4534820.8852.08260262907830310.69213444202


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
Adam RuzickaIceHogs (CHI)C/LW/RW211999-05-11Yes203 Lbs6 ft4NoNoNo3Pro & Farm850,000$377,016$850,000$377,016$0$0$No850,000$850,000$
Alex BroadhurstIceHogs (CHI)C271993-03-06No178 Lbs5 ft10NoNoNo2Pro & Farm725,000$321,573$450,000$199,597$0$0$No725,000$Lien
Alex NedeljkovicIceHogs (CHI)G241996-01-07No189 Lbs6 ft0NoNoNo1Pro & Farm894,167$396,606$894,167$396,606$0$0$NoLien
Alexandre CarrierIceHogs (CHI)D231996-10-08No174 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Andreas MartinsenIceHogs (CHI)LW/RW301990-06-12No220 Lbs6 ft3NoNoNo1Pro & Farm675,600$299,661$675,600$299,661$0$0$NoLien
Brendan GaunceIceHogs (CHI)C/LW261994-03-25No217 Lbs6 ft2NoNoNo4Pro & Farm700,000$310,484$700,000$310,484$0$0$No700,000$700,000$700,000$Lien
Carsen TwarynskiIceHogs (CHI)LW221997-11-24No198 Lbs6 ft2NoNoNo2Pro & Farm925,000$410,282$450,000$199,597$0$0$No925,000$Lien
Connor CarrickIceHogs (CHI)D261994-04-13No192 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Dylan SikuraIceHogs (CHI)C/LW/RW251995-06-01No158 Lbs5 ft11NoNoNo2Pro & Farm1,187,500$526,714$450,000$199,597$0$0$No1,187,500$Lien
Frederik GauthierIceHogs (CHI)C251995-04-26No238 Lbs6 ft5NoNoNo3Pro & Farm675,000$299,395$675,000$299,395$0$0$No675,000$675,000$Lien
Gustav ForslingIceHogs (CHI)D241996-06-12No186 Lbs6 ft0NoNoNo2Pro & Farm925,000$410,282$925,000$410,282$0$0$No925,000$Lien
John HaydenIceHogs (CHI)LW/RW251995-02-14No223 Lbs6 ft3NoNoNo2Pro & Farm750,000$332,661$750,000$332,661$0$0$No750,000$Lien
Joseph DuszakIceHogs (CHI)D221997-07-22Yes185 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Julien GauthierIceHogs (CHI)RW221997-10-15No225 Lbs6 ft4NoNoNo2Pro & Farm1,163,333$515,994$450,000$199,597$0$0$No1,163,333$Lien
Justin BaileyIceHogs (CHI)RW241995-07-01No214 Lbs6 ft3NoNoNo2Pro & Farm700,000$310,484$700,000$310,484$0$0$No700,000$Lien
Kole LindIceHogs (CHI)RW211998-10-16No178 Lbs6 ft1NoNoNo2Pro & Farm1,125,000$498,992$450,000$199,597$0$0$No1,125,000$Lien
Kyle CapobiancoIceHogs (CHI)D221997-08-13No178 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$443,548$1,000,000$443,548$0$0$NoLien
Lucas ElvenesIceHogs (CHI)LW/RW201999-08-18Yes172 Lbs6 ft1NoNoNo3Pro & Farm776,667$344,489$776,667$344,489$0$0$No776,667$776,667$Lien
Luke JohnsonIceHogs (CHI)C251994-09-18No198 Lbs5 ft11NoNoNo2Pro & Farm925,000$410,282$450,000$199,597$0$0$No925,000$Lien
Matt TomkinsIceHogs (CHI)G261994-06-19Yes194 Lbs6 ft3NoNoNo3Pro & Farm700,000$310,484$700,000$310,484$0$0$No700,000$700,000$
Michael PaliottaIceHogs (CHI)D271993-04-05No207 Lbs6 ft4NoNoNo2Pro & Farm600,000$266,129$450,000$199,597$0$0$No600,000$Lien
Riley NashIceHogs (CHI)C/RW311989-05-09No190 Lbs6 ft1NoNoNo2Pro & Farm2,750,000$1,219,758$2,750,000$1,219,758$0$0$No2,750,000$Lien
Robert BortuzzoIceHogs (CHI)D311989-03-18No216 Lbs6 ft4NoNoNo1Pro & Farm1,150,000$510,081$1,150,000$510,081$0$0$NoLien
Ryan HartmanIceHogs (CHI)C/RW251994-09-20No181 Lbs6 ft0NoNoNo1Pro & Farm1,900,000$842,742$1,900,000$842,742$0$0$NoLien
Stuart SkinnerIceHogs (CHI)G211998-11-01No203 Lbs6 ft3NoNoNo2Pro & Farm925,000$410,282$450,000$199,597$0$0$No925,000$Lien
Tommy NovakIceHogs (CHI)C231997-04-28Yes179 Lbs6 ft1NoNoNo3Pro & Farm823,750$365,373$817,500$362,601$0$0$No817,500$817,500$Lien
Vinnie HinostrozaIceHogs (CHI)C/RW261994-04-03No173 Lbs5 ft9NoNoNo1Pro & Farm1,500,000$665,323$1,500,000$665,323$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2724.59195 Lbs6 ft11.931,012,815$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan GaunceRyan HartmanJustin Bailey35122
2John HaydenRiley NashLucas Elvenes30122
3Dylan SikuraFrederik GauthierKole Lind25122
4Carsen TwarynskiTommy NovakJulien Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CarrickRobert Bortuzzo35122
2Kyle CapobiancoGustav Forsling30122
3Tommy NovakLuke Johnson25122
4Connor CarrickRobert Bortuzzo10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan GaunceRyan HartmanJustin Bailey60122
2John HaydenRiley NashLucas Elvenes40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CarrickRobert Bortuzzo60122
2Kyle CapobiancoGustav Forsling40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Justin BaileyRyan Hartman60122
2Riley NashBrendan Gaunce40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CarrickRobert Bortuzzo60122
2Kyle CapobiancoGustav Forsling40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Justin Bailey60122Connor CarrickRobert Bortuzzo60122
2Ryan Hartman40122Kyle CapobiancoGustav Forsling40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Justin BaileyRyan Hartman60122
2Riley NashBrendan Gaunce40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CarrickRobert Bortuzzo60122
2Kyle CapobiancoGustav Forsling40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan GaunceRyan HartmanJustin BaileyConnor CarrickRobert Bortuzzo
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan GaunceRyan HartmanJustin BaileyConnor CarrickRobert Bortuzzo
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Ruzicka, Alex Broadhurst, Frederik GauthierAdam Ruzicka, Alex BroadhurstFrederik Gauthier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kyle Capobianco, Gustav Forsling, Connor CarrickKyle CapobiancoGustav Forsling, Connor Carrick
Tirs de Pénalité
Justin Bailey, Ryan Hartman, Riley Nash, Brendan Gaunce, Frederik Gauthier
Gardien
#1 : Alex Nedeljkovic, #2 : Matt Tomkins


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
1Admirals1010000023-11010000023-10000000000000.00024600414942101332932435140156418400.00%20100.00%0756127259.43%652113157.65%37663359.40%1164829970320542280
2Bruins1010000035-2000000000001010000035-200.0003690041494210223293243514027710172150.00%5260.00%0756127259.43%652113157.65%37663359.40%1164829970320542280
3Condors22000000734110000004221100000031241.0007142100414942103632932435140338332914428.57%80100.00%0756127259.43%652113157.65%37663359.40%1164829970320542280
4Crunch11000000431110000004310000000000021.00047110041494210333293243514026614331119.09%60100.00%0756127259.43%652113157.65%37663359.40%1164829970320542280
5Flames1010000024-21010000024-20000000000000.000246104149421016329324351402258178112.50%4175.00%0756127259.43%652113157.65%37663359.40%1164829970320542280
6Monarchs32001000734000000000003200100073461.0007121901414942106332932435140411531521516.67%12283.33%0756127259.43%652113157.65%37663359.40%1164829970320542280
7Moose10000010431100000104310000000000021.0004590041494210193293243514014610158112.50%5340.00%0756127259.43%652113157.65%37663359.40%1164829970320542280
8Penguins21001000752110000004311000100032141.000712190041494210573293243514043718351417.14%8187.50%0756127259.43%652113157.65%37663359.40%1164829970320542280
9Rampage1210001001472225650010002713146500000120911230.95847861330041494210346329324351402457011922168811.76%53786.79%1756127259.43%652113157.65%37663359.40%1164829970320542280
10Rocket10001000651000000000001000100065121.000610160041494210293293243514018719127228.57%70100.00%1756127259.43%652113157.65%37663359.40%1164829970320542280
11Senators22000000642110000003211100000032141.0006121800414942104432932435140347103115426.67%50100.00%0756127259.43%652113157.65%37663359.40%1164829970320542280
12Sharks10000010321100000103210000000000021.0003470041494210193293243514017523237228.57%80100.00%0756127259.43%652113157.65%37663359.40%1164829970320542280
13Soldiers422000009811010000012-13210000086240.50091625004149421070329324351405915577331516.13%22290.91%0756127259.43%652113157.65%37663359.40%1164829970320542280
14Stars4120001012111311000109631010000035-240.5001219310041494210102329324351407817407422313.64%17288.24%0756127259.43%652113157.65%37663359.40%1164829970320542280
Total4427804032139944522144010307447272213403002654718700.79513924538412414942101029329324351408102254957882744315.69%2072587.92%2756127259.43%652113157.65%37663359.40%1164829970320542280
15Wolf Pack11000000312000000000001100000031221.0003690041494210173293243514019312226116.67%6183.33%0756127259.43%652113157.65%37663359.40%1164829970320542280
16Wolves75100001171254400000011473110000168-2110.786172845014149421014332932435140119418711642819.05%39489.74%0756127259.43%652113157.65%37663359.40%1164829970320542280
_Since Last GM Reset4427804032139944522144010307447272213403002654718700.79513924538412414942101029329324351408102254957882744315.69%2072587.92%2756127259.43%652113157.65%37663359.40%1164829970320542280
_Vs Conference3522602032108674118113010306135261711301002473215560.8001081882960241494210811329324351406211834046212113215.17%1662087.95%1756127259.43%652113157.65%37663359.40%1164829970320542280
_Vs Division2718501012855332141020101048252313830000237289420.778851492340141494210661329324351405011433034841632414.72%1311588.55%1756127259.43%652113157.65%37663359.40%1164829970320542280

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4470W2139245384102981022549578812
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
44278403213994
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2214410307447
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2213430026547
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2744315.69%2072587.92%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
3293243514041494210
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
756127259.43%652113157.65%37663359.40%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1164829970320542280


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 - 2020-09-277Condors2IceHogs4WSommaire du Match
2 - 2020-09-2817IceHogs3Rampage1WSommaire du Match
4 - 2020-09-3025Rampage2IceHogs6WSommaire du Match
5 - 2020-10-0136IceHogs4Rampage1WSommaire du Match
6 - 2020-10-0248IceHogs3Wolves1WSommaire du Match
8 - 2020-10-0457IceHogs1Rampage2LXXSommaire du Match
10 - 2020-10-0669Wolves1IceHogs3WSommaire du Match
12 - 2020-10-0883Rampage1IceHogs2WXSommaire du Match
15 - 2020-10-1199Crunch3IceHogs4WSommaire du Match
17 - 2020-10-13110IceHogs3Wolf Pack1WSommaire du Match
20 - 2020-10-16121Rampage1IceHogs2WSommaire du Match
21 - 2020-10-17135Wolves2IceHogs3WSommaire du Match
22 - 2020-10-18139IceHogs3Rampage2WSommaire du Match
24 - 2020-10-20155Soldiers2IceHogs1LSommaire du Match
25 - 2020-10-21170IceHogs5Soldiers2WSommaire du Match
27 - 2020-10-23180Stars3IceHogs2LSommaire du Match
28 - 2020-10-24191IceHogs3Penguins2WXSommaire du Match
30 - 2020-10-26199Moose3IceHogs4WXXSommaire du Match
32 - 2020-10-28215IceHogs3Senators2WSommaire du Match
34 - 2020-10-30223Rampage2IceHogs4WSommaire du Match
37 - 2020-11-02240IceHogs3Bruins5LSommaire du Match
38 - 2020-11-03242IceHogs3Rampage1WSommaire du Match
40 - 2020-11-05253Admirals3IceHogs2LSommaire du Match
42 - 2020-11-07266Stars1IceHogs4WSommaire du Match
44 - 2020-11-09277IceHogs3Condors1WSommaire du Match
45 - 2020-11-10286IceHogs2Monarchs1WSommaire du Match
46 - 2020-11-11294Sharks2IceHogs3WXXSommaire du Match
47 - 2020-11-12302IceHogs2Monarchs0WSommaire du Match
49 - 2020-11-14320Flames4IceHogs2LSommaire du Match
50 - 2020-11-15327IceHogs6Rampage2WSommaire du Match
51 - 2020-11-16338IceHogs2Wolves3LXXSommaire du Match
52 - 2020-11-17348Rampage2IceHogs5WSommaire du Match
54 - 2020-11-19364Stars2IceHogs3WXXSommaire du Match
55 - 2020-11-20375Penguins3IceHogs4WSommaire du Match
56 - 2020-11-21385IceHogs1Wolves4LSommaire du Match
57 - 2020-11-22389IceHogs6Rocket5WXSommaire du Match
58 - 2020-11-23405Rampage5IceHogs8WSommaire du Match
60 - 2020-11-25419IceHogs3Monarchs2WXSommaire du Match
61 - 2020-11-26428Senators2IceHogs3WSommaire du Match
63 - 2020-11-28440IceHogs0Soldiers3LSommaire du Match
64 - 2020-11-29447Wolves0IceHogs3WSommaire du Match
65 - 2020-11-30454IceHogs3Stars5LSommaire du Match
67 - 2020-12-02469IceHogs3Soldiers1WSommaire du Match
68 - 2020-12-03478Wolves1IceHogs2WSommaire du Match
70 - 2020-12-05492Sound Tigers-IceHogs-
71 - 2020-12-06503IceHogs-Stars-
73 - 2020-12-08516IceHogs-Wolves-
74 - 2020-12-09522Soldiers-IceHogs-
75 - 2020-12-10536Wolves-IceHogs-
77 - 2020-12-12552Monarchs-IceHogs-
79 - 2020-12-14562IceHogs-Rampage-
80 - 2020-12-15574Condors-IceHogs-
81 - 2020-12-16586IceHogs-Sharks-
83 - 2020-12-18596Sharks-IceHogs-
85 - 2020-12-20609IceHogs-Condors-
86 - 2020-12-21620Rocket-IceHogs-
88 - 2020-12-23630IceHogs-Rocket-
89 - 2020-12-24638Wolf Pack-IceHogs-
91 - 2020-12-26649IceHogs-Phantoms-
92 - 2020-12-27662Admirals-IceHogs-
94 - 2020-12-29673IceHogs-Sound Tigers-
95 - 2020-12-30683IceHogs-Soldiers-
96 - 2020-12-31693Stars-IceHogs-
97 - 2021-01-01708Bruins-IceHogs-
99 - 2021-01-03719IceHogs-Admirals-
100 - 2021-01-04727IceHogs-Marlies-
101 - 2021-01-05736Moose-IceHogs-
103 - 2021-01-07750IceHogs-Flames-
104 - 2021-01-08758Monsters-IceHogs-
105 - 2021-01-09768IceHogs-Moose-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10781Soldiers-IceHogs-
107 - 2021-01-11786IceHogs-Griffins-
109 - 2021-01-13801Flames-IceHogs-
110 - 2021-01-14812IceHogs-Crunch-
111 - 2021-01-15822Griffins-IceHogs-
113 - 2021-01-17837IceHogs-Monsters-
114 - 2021-01-18841Marlies-IceHogs-
115 - 2021-01-19845IceHogs-Griffins-
117 - 2021-01-21859IceHogs-Stars-
118 - 2021-01-22869Phantoms-IceHogs-
121 - 2021-01-25889Soldiers-IceHogs-
122 - 2021-01-26895IceHogs-Stars-



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
19 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,120,628$ 2,734,602$ 2,336,394$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,590,385$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 55 44,231$ 2,432,705$




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