IceHogs
GP: 82 | W: 54 | L: 21 | OTL: 7 | P: 115
GF: 226 | GA: 173 | PP%: 14.14% | PK%: 88.66%
DG: Jonathan Samuel | Morale : 50 | Moyenne d'Équipe : N/A
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 SPÂgeContratSalaire
1Alex BroadhurstX100.00726394616366686075565765545555615000272725,000$
2Anthony LouisXX100.00645391655373775873525860555555614400252925,000$
3Brendan GaunceXX100.00807981717972756580596471616060675000264700,000$
4Carsen TwarynskiX100.00924691667357755626505864254545625000222925,000$
5Dylan SikuraXXX100.006658866158808464806162615947476450002521,187,500$
6Julien GauthierX100.007344866984518556346455532547476150002221,163,333$
7Kole LindX100.006866716766717363506359615644446250002121,125,000$
8John HaydenXX100.00859953738554665732525873255959625000252750,000$
9Luke JohnsonX100.00717072677070726480566763644545665000252925,000$
10Riley NashXX100.007644947971618857766258738570716550003122,750,000$
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$
18Robert BortuzzoX100.008158857082616854254948752566686040003111,150,000$
19Robert HaggX100.00937182727667835525544879255960634500251894,167$
Rayé
1Andreas MartinsenXX100.00848287608259624950444570436464555000301675,600$
2Alexandre CarrierX100.006763776863788458255742624055555750002311,000,000$
3Gustav ForslingX100.00736884686867705625474865465959595000242925,000$
4Michael PaliottaX100.00777874637849514525353961374444505000272600,000$
5Joseph Duszak (R)X100.006866716766555460255946604444445750002211,000,000$
MOYENNE D'ÉQUIPE100.0076658268726471595056556746535362490
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 Nedeljkovic100.0060729070566658656362304444624900
2Matt Tomkins (R)100.0052637979495350574949304444535000
Rayé
1Stuart Skinner100.0050546881485150555050304444514600
MOYENNE D'ÉQUIPE100.005463797751575359545430444455480
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
1Brendan GaunceIceHogs (CHI)C/LW82253964672101461291684314114.88%18161219.66920294740400001914265.69%20400000.7927101496
2Justin BaileyIceHogs (CHI)RW773032621360101391602265011813.27%21170522.15913228037302253517147.11%77900000.7337011855
3Riley NashIceHogs (CHI)C/RW822237598120422131624311713.58%18166920.36720274837210152765359.36%153800010.714100004103
4Frederik GauthierIceHogs (CHI)C801827455280491561514112811.92%17134016.7648123221600081894164.82%108300000.6713000364
5Tommy NovakIceHogs (CHI)C82537421360088696822357.35%36137516.77291141171000001157.86%14000000.6100000304
6John HaydenIceHogs (CHI)LW/RW821919381111315211105139379113.67%7130715.945712373630000116251.32%7600000.5800201345
7Lucas ElvenesIceHogs (CHI)LW/RW82112637121603981108328310.19%7115314.0726821177000032051.11%4500000.6400000252
8Dylan SikuraIceHogs (CHI)C/LW/RW8212203241601560110218710.91%5115914.156612292180000141156.10%8200000.5502000411
9Robert HaggIceHogs (CHI)D488233189601165472134011.11%39106322.1541216492261011136400.00%000000.5800000103
10Luke JohnsonIceHogs (CHI)C829213012115151219190225910.00%30113713.8800037000002158.81%43700000.5312111222
11Kole LindIceHogs (CHI)RW821413273615425067155620.90%36778.272247590000173255.15%13600100.8000001132
12Ryan HartmanBlackhawksC/RW3491625560248450143418.00%472521.3546101416700011501255.39%62100000.6904000231
13Kyle CapobiancoIceHogs (CHI)D4261622542053282291227.27%1788421.07538181820000169100.00%000000.5000000211
14Connor CarrickIceHogs (CHI)D4211718338038433315253.03%2194122.41099251890000178000.00%000000.3800000001
15Robert BortuzzoIceHogs (CHI)D428917744067243982120.51%3791021.67437231830001161410.00%000000.3700000411
16Julien GauthierIceHogs (CHI)RW817714814030504882614.58%27789.6100000000002038.24%3400000.3600000102
17Gustav ForslingIceHogs (CHI)D555813138056282981417.24%35122022.20325192580001219100.00%000000.2100000100
18Alex BroadhurstIceHogs (CHI)C742101221202122223159.09%175857.911014200110351044.44%3600000.4100000201
19Carsen TwarynskiIceHogs (CHI)LW81279493513548349205.88%2485810.6000001000000125.00%1600000.2100000102
20Adam RuzickaIceHogs (CHI)C/LW/RW80549-4135373640113612.50%14475.600221400001731156.00%15000000.4000100011
21Anthony LouisIceHogs (CHI)C/LW261233002251720.00%0863.311014220110320064.29%1400000.7000000000
22Vinnie HinostrozaBlackhawksC/RW2022100242110.00%04422.0400019000080045.24%4200000.9100000000
23Andreas MartinsenIceHogs (CHI)LW/RW23022280654030.00%91396.060223340001520053.33%1500000.2900000000
24Joakim NordstromBlackhawksC/LW1000100111010.00%01717.820001200000000.00%000000.0000000000
25Michael PaliottaIceHogs (CHI)D2300044353444250.00%1443719.01000289000070000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1467219394613137100070151415471694428117512.93%3822227915.19681301985093792246242346501957.53%544800110.551135525485147
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)81532170.8891.99479410615914320210.63936810405
2Matt TomkinsIceHogs (CHI)41000.7863.08117006280100.0000142000
Stats d'équipe Total ou en Moyenne85542170.8872.02491210616514600310.639368242405


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$6,855$850,000$6,855$0$0$No850,000$850,000$
Alex BroadhurstIceHogs (CHI)C271993-03-06No178 Lbs5 ft10NoNoNo2Pro & Farm725,000$5,847$450,000$3,629$0$0$No725,000$Lien
Alex NedeljkovicIceHogs (CHI)G241996-01-07No189 Lbs6 ft0NoNoNo1Pro & Farm894,167$7,211$894,167$7,211$0$0$NoLien
Alexandre CarrierIceHogs (CHI)D231996-10-08No174 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Andreas MartinsenIceHogs (CHI)LW/RW301990-06-12No220 Lbs6 ft3NoNoNo1Pro & Farm675,600$5,448$675,600$5,448$0$0$NoLien
Anthony LouisIceHogs (CHI)C/LW251995-02-10No151 Lbs5 ft7NoNoNo2Pro & Farm925,000$7,460$450,000$3,629$0$0$No925,000$Lien
Brendan GaunceIceHogs (CHI)C/LW261994-03-25No217 Lbs6 ft2NoNoNo4Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$700,000$Lien
Carsen TwarynskiIceHogs (CHI)LW221997-11-24No198 Lbs6 ft2NoNoNo2Pro & Farm925,000$7,460$450,000$3,629$0$0$No925,000$Lien
Connor CarrickIceHogs (CHI)D261994-04-13No192 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Dylan SikuraIceHogs (CHI)C/LW/RW251995-06-01No158 Lbs5 ft11NoNoNo2Pro & Farm1,187,500$9,577$450,000$3,629$0$0$No1,187,500$Lien
Frederik GauthierIceHogs (CHI)C251995-04-26No238 Lbs6 ft5NoNoNo3Pro & Farm675,000$5,444$675,000$5,444$0$0$No675,000$675,000$Lien
Gustav ForslingIceHogs (CHI)D241996-06-12No186 Lbs6 ft0NoNoNo2Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$Lien
John HaydenIceHogs (CHI)LW/RW251995-02-14No223 Lbs6 ft3NoNoNo2Pro & Farm750,000$6,048$750,000$6,048$0$0$No750,000$Lien
Joseph DuszakIceHogs (CHI)D221997-07-22Yes185 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Julien GauthierIceHogs (CHI)RW221997-10-15No225 Lbs6 ft4NoNoNo2Pro & Farm1,163,333$9,382$450,000$3,629$0$0$No1,163,333$Lien
Justin BaileyIceHogs (CHI)RW241995-07-01No214 Lbs6 ft3NoNoNo2Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$Lien
Kole LindIceHogs (CHI)RW211998-10-16No178 Lbs6 ft1NoNoNo2Pro & Farm1,125,000$9,073$450,000$3,629$0$0$No1,125,000$Lien
Kyle CapobiancoIceHogs (CHI)D221997-08-13No178 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Lucas ElvenesIceHogs (CHI)LW/RW201999-08-18Yes172 Lbs6 ft1NoNoNo3Pro & Farm776,667$6,263$776,667$6,263$0$0$No776,667$776,667$Lien
Luke JohnsonIceHogs (CHI)C251994-09-18No198 Lbs5 ft11NoNoNo2Pro & Farm925,000$7,460$450,000$3,629$0$0$No925,000$Lien
Matt TomkinsIceHogs (CHI)G261994-06-19Yes194 Lbs6 ft3NoNoNo3Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$
Michael PaliottaIceHogs (CHI)D271993-04-05No207 Lbs6 ft4NoNoNo2Pro & Farm600,000$4,839$450,000$3,629$0$0$No600,000$Lien
Riley NashIceHogs (CHI)C/RW311989-05-09No190 Lbs6 ft1NoNoNo2Pro & Farm2,750,000$22,177$2,750,000$22,177$0$0$No2,750,000$Lien
Robert BortuzzoIceHogs (CHI)D311989-03-18No216 Lbs6 ft4NoNoNo1Pro & Farm1,150,000$9,274$1,150,000$9,274$0$0$NoLien
Robert HaggIceHogs (CHI)D251995-02-07No204 Lbs6 ft2NoNoNo1Pro & Farm894,167$7,211$894,167$7,211$0$0$NoLien
Stuart SkinnerIceHogs (CHI)G211998-11-01No203 Lbs6 ft3NoNoNo2Pro & Farm925,000$7,460$450,000$3,629$0$0$No925,000$Lien
Tommy NovakIceHogs (CHI)C231997-04-28Yes179 Lbs6 ft1NoNoNo3Pro & Farm823,750$6,643$817,500$6,593$0$0$No817,500$817,500$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2724.56195 Lbs6 ft11.96954,266$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan GaunceRiley NashJustin Bailey35122
2John HaydenFrederik GauthierLucas Elvenes30122
3Carsen TwarynskiDylan SikuraKole Lind25122
4Adam RuzickaTommy NovakJulien Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert HaggConnor Carrick35122
2Robert BortuzzoKyle Capobianco30122
3Tommy NovakLuke Johnson25122
4Robert HaggConnor Carrick10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan GaunceRiley NashJustin Bailey60122
2John HaydenFrederik GauthierLucas Elvenes40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert HaggConnor Carrick60122
2Robert BortuzzoKyle Capobianco40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Justin BaileyRiley Nash60122
2Brendan GaunceFrederik Gauthier40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert HaggConnor Carrick60122
2Robert BortuzzoKyle Capobianco40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Justin Bailey60122Robert HaggConnor Carrick60122
2Riley Nash40122Robert BortuzzoKyle Capobianco40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Justin BaileyRiley Nash60122
2Brendan GaunceFrederik Gauthier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert HaggConnor Carrick60122
2Robert BortuzzoKyle Capobianco40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan GaunceRiley NashJustin BaileyRobert HaggConnor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan GaunceRiley NashJustin BaileyRobert HaggConnor Carrick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Broadhurst, Anthony Louis, Dylan SikuraAlex Broadhurst, Anthony LouisDylan Sikura
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Robert Bortuzzo, Kyle Capobianco, Robert HaggRobert BortuzzoKyle Capobianco, Robert Hagg
Tirs de Pénalité
Justin Bailey, Riley Nash, Brendan Gaunce, Frederik Gauthier, John Hayden
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
1Admirals3020000159-42010000146-21010000013-210.167591400748162174354356658169481746591616.25%20290.00%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
2Bruins2110000067-1110000003211010000035-220.5006121800748162173954356658169428224010220.00%10460.00%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
3Condors430000011165220000006242100000154170.875112132017481621773543566581696015437827518.52%110100.00%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
4Crunch22000000835110000004311100000040441.0008152301748162175654356658169411124581616.25%80100.00%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
5Flames30300000510-52020000037-41010000023-100.0005101510748162175154356658169561351432328.70%17382.35%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
6Griffins31200000811-31100000021120200000610-420.33381321007481621772543566581696921367011436.36%18288.89%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
7Marlies22000000422110000002111100000021141.000481200748162173354356658169399344313215.38%120100.00%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
8Monarchs420011009631000010023-13200100073470.8759152401748162179254356658169522037692428.33%15380.00%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
9Monsters21100000422110000004131010000001-120.50046100074816217315435665816933624281100.00%12283.33%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
10Moose3020001049-52010001046-21010000003-320.33345900748162173954356658169491541521715.88%17758.82%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
11Penguins21001000752110000004311000100032141.000712190074816217575435665816943718351417.14%8187.50%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
12Phantoms22000000734110000003121100000042241.0007132000748162173654356658169368272713323.08%11281.82%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
13Rampage13110010015423316500100027131476000001271017250.962549915300748162173775435665816926175127250781114.10%57885.96%11367233958.44%1193215155.46%659115856.91%2122148018456121021522
14Rocket3110100011110110000004222010100079-240.667111930007481621762543566581695715484617423.53%19384.21%11367233958.44%1193215155.46%659115856.91%2122148018456121021522
15Senators22000000642110000003211100000032141.0006121800748162174454356658169347103115426.67%50100.00%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
16Sharks3010002057-22010001036-31000001021140.6675510007481621755543566581695713536515213.33%22195.45%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
17Soldiers8620000021129431000001046431000001183120.75021396001748162171355435665816911644113139571119.30%49491.84%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
18Sound Tigers2010000126-41000000123-11010000003-310.25023500748162173654356658169411132461516.67%150100.00%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
19Stars8330001122193421000101275412000011012-290.563223658007481621718254356658169162321021623937.69%45295.56%11367233958.44%1193215155.46%659115856.91%2122148018456121021522
20Wolf Pack21001000743100010004311100000031241.00071421007481621740543566581693311164113215.38%8187.50%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
21Wolves962000012014654100000126642100001880130.7222033530274816217167543566581691584812015251815.69%53492.45%01367233958.44%1193215155.46%659115856.91%2122148018456121021522
Total8245210514622617353412580213211882364120130301410891171150.70122639962516748162171720543566581691487406102415344957014.14%4324988.66%31367233958.44%1193215155.46%659115856.91%2122148018456121021522
_Since Last GM Reset8245210514622617353412580213211882364120130301410891171150.70122639962516748162171720543566581691487406102415344957014.14%4324988.66%31367233958.44%1193215155.46%659115856.91%2122148018456121021522
_Vs Conference603215021461611223930176011328457273015901014776512830.6921612784390574816217127154356658169107331175011423504914.00%3223389.75%21367233958.44%1193215155.46%659115856.91%2122148018456121021522
_Vs Division3827901013117684919153010106130311912600003563818610.8031172073240374816217861543566581696971994627032253314.67%2041891.18%21367233958.44%1193215155.46%659115856.91%2122148018456121021522

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82115L1226399625172014874061024153416
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8245215146226173
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41258213211882
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412013301410891
Derniers 10 Matchs
WLOTWOTL SOWSOL
540001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4957014.14%4324988.66%3
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
5435665816974816217
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
1367233958.44%1193215155.46%659115856.91%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2122148018456121021522


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 Tigers3IceHogs2LXXSommaire du Match
71 - 2020-12-06503IceHogs3Stars1WSommaire du Match
73 - 2020-12-08516IceHogs2Wolves0WSommaire du Match
74 - 2020-12-09522Soldiers0IceHogs2WSommaire du Match
75 - 2020-12-10536Wolves2IceHogs1LSommaire du Match
77 - 2020-12-12552Monarchs3IceHogs2LXSommaire du Match
79 - 2020-12-14562IceHogs7Rampage1WSommaire du Match
80 - 2020-12-15574Condors0IceHogs2WSommaire du Match
81 - 2020-12-16586IceHogs2Sharks1WXXSommaire du Match
83 - 2020-12-18596Sharks4IceHogs0LSommaire du Match
85 - 2020-12-20609IceHogs2Condors3LXXSommaire du Match
86 - 2020-12-21620Rocket2IceHogs4WSommaire du Match
88 - 2020-12-23630IceHogs1Rocket4LSommaire du Match
89 - 2020-12-24638Wolf Pack3IceHogs4WXSommaire du Match
91 - 2020-12-26649IceHogs4Phantoms2WSommaire du Match
92 - 2020-12-27662Admirals3IceHogs2LXXSommaire du Match
94 - 2020-12-29673IceHogs0Sound Tigers3LSommaire du Match
95 - 2020-12-30683IceHogs3Soldiers2WSommaire du Match
96 - 2020-12-31693Stars1IceHogs3WSommaire du Match
97 - 2021-01-01708Bruins2IceHogs3WSommaire du Match
99 - 2021-01-03719IceHogs1Admirals3LSommaire du Match
100 - 2021-01-04727IceHogs2Marlies1WSommaire du Match
101 - 2021-01-05736Moose3IceHogs0LSommaire du Match
103 - 2021-01-07750IceHogs2Flames3LSommaire du Match
104 - 2021-01-08758Monsters1IceHogs4WSommaire du Match
105 - 2021-01-09768IceHogs0Moose3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10781Soldiers1IceHogs3WSommaire du Match
107 - 2021-01-11786IceHogs3Griffins4LSommaire du Match
109 - 2021-01-13801Flames3IceHogs1LSommaire du Match
110 - 2021-01-14812IceHogs4Crunch0WSommaire du Match
111 - 2021-01-15822Griffins1IceHogs2WSommaire du Match
113 - 2021-01-17837IceHogs0Monsters1LSommaire du Match
114 - 2021-01-18841Marlies1IceHogs2WSommaire du Match
115 - 2021-01-19845IceHogs3Griffins6LSommaire du Match
117 - 2021-01-21859IceHogs1Stars2LXXSommaire du Match
118 - 2021-01-22869Phantoms1IceHogs3WSommaire du Match
121 - 2021-01-25889Soldiers1IceHogs4WSommaire du Match
122 - 2021-01-26895IceHogs3Stars4LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité 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
5,564,605$ 2,576,519$ 2,130,811$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 2,836,762$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 42,956$ 42,956$




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