IceHogs

GP: 8 | W: 5 | L: 2 | OTL: 1 | P: 11
GF: 23 | GA: 17 | PP%: 11.29% | PK%: 93.33%
DG: Jonathan Samuel | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #102 vs Rampage
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
1Alex BroadhurstX100.00726394616366686075565765545555615000
2Anthony LouisXX100.00645391655373775873525860555555615000
3Brendan GaunceXX100.00807981717972756580596471616060675000
4Carsen TwarynskiX100.00924691667357755626505864254545625000
5Dylan SikuraXXX100.00665886615880846480616261594747645000
6Julien GauthierX100.00734486698451855634645553254747615000
7Kole LindX100.00686671676671736350635961564444625000
8John HaydenXX100.00859953738554665732525873255959625000
9Luke JohnsonX100.00717072677070726480566763644545665000
10Riley NashXX100.00764494797161885776625873857071655000
11Andreas MartinsenXX100.00848287608259624950444570436464555000
12Frederik GauthierX100.00764594708854835780586080256364665000
13Justin BaileyX100.00797979757975776850597170675252715000
14Adam Ruzicka (R)XXX100.00827792637760615974565767544444625000
15Lucas Elvenes (R)XX100.00736590656567686550685864554444645000
16Tommy Novak (R)X100.00736690686667686379655763544444635000
17Gustav ForslingX100.00736884686867705625474865465959595000
18Michael PaliottaX100.00777874637849514525353961374444505000
19Robert HaggX100.00937182727667835525544879255960635000
Rayé
1Ryan HartmanXX100.00677272836862936261636474256465685000
2Vinnie HinostrozaXX100.00714292816164876040705874636262675000
3Alexandre CarrierX100.00676377686378845825574262405555574700
4Connor CarrickX100.00736483777064565825524877256565614700
5Kyle CapobiancoX100.00676669646664646425595561524545624700
6Robert BortuzzoX100.00815885708261685425494875256668605000
7Joseph Duszak (R)X100.00686671676655546025594660444444574700
MOYENNE D'ÉQUIPE100.0075658269716473595057556746545462500
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
2Stuart Skinner100.0050546881485150555050304444515000
3Matt Tomkins (R)100.0052637979495350574949304444535000
Rayé
MOYENNE D'ÉQUIPE100.005463797751575359545430444455500
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/LW8718312010111871438.89%015719.701013490001170269.57%2300001.0201000211
2Frederik GauthierIceHogs (CHI)C82683400141061020.00%415219.012243460000190060.99%14100001.0500000100
3John HaydenIceHogs (CHI)LW/RW83252802615182916.67%013216.61224847000020027.27%1100000.7500000101
4Luke JohnsonIceHogs (CHI)C8325-140822201915.00%010212.7900002000000155.00%8000000.9800000010
5Justin BaileyIceHogs (CHI)RW805511951421216110.00%117622.120229500001370044.74%7600000.5701010001
6Lucas ElvenesIceHogs (CHI)LW/RW8145-1602766516.67%010012.6100001000001033.33%600000.9900000100
7Tommy NovakIceHogs (CHI)C80553406913490.00%213917.40000946000010063.64%1100000.7200000010
8Dylan SikuraIceHogs (CHI)C/LW/RW8224200215121916.67%013617.06022452000011080.00%500000.5900000010
9Julien GauthierIceHogs (CHI)RW8134-1408573314.29%09912.4200000000000040.00%500000.8100000001
10Riley NashIceHogs (CHI)C/RW80441205189440.00%117321.730223460001360053.90%15400000.4611000000
11Michael PaliottaIceHogs (CHI)D8123340172101100.00%515919.97123144000032100.00%000000.3800000100
12Robert HaggIceHogs (CHI)D8123027517487512.50%817822.31112848000030000.00%000000.3400010000
13Carsen TwarynskiIceHogs (CHI)LW82020100183202100.00%311514.500000000000200.00%000000.3400000011
14Gustav ForslingIceHogs (CHI)D8022075234110.00%418423.09000247000033000.00%000000.2200100000
15Alex BroadhurstIceHogs (CHI)C8011040041110.00%411113.890000000000000.00%000000.1800000000
16Adam RuzickaIceHogs (CHI)C/LW/RW8011040224020.00%0222.830000000000000.00%100000.8800000000
17Anthony LouisIceHogs (CHI)C/LW8000000123000.00%0344.350001110001160053.33%1500000.0000000000
18Kole LindIceHogs (CHI)RW8000-140424160.00%0506.33000116000080064.71%1700000.0000000000
19Andreas MartinsenIceHogs (CHI)LW/RW8000075231100.00%1516.390000150000240066.67%1200000.0000100000
Stats d'équipe Total ou en Moyenne15223426514130201441621625110114.20%33228015.01713205252700042625355.30%55700000.5713220655
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)22000.9331.50120013450000.000020100
Stats d'équipe Total ou en Moyenne22000.9331.50120013450000.000020100


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$850,000$850,000$850,000$0$0$No850,000$850,000$
Alex BroadhurstIceHogs (CHI)C271993-03-06No178 Lbs5 ft10NoNoNo2Pro & Farm725,000$725,000$450,000$450,000$0$0$No725,000$Lien
Alex NedeljkovicIceHogs (CHI)G241996-01-07No189 Lbs6 ft0NoNoNo1Pro & Farm894,167$894,167$894,167$894,167$0$0$NoLien
Alexandre CarrierIceHogs (CHI)D231996-10-08No174 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Andreas MartinsenIceHogs (CHI)LW/RW301990-06-12No220 Lbs6 ft3NoNoNo1Pro & Farm675,600$675,600$675,600$675,600$0$0$NoLien
Anthony LouisIceHogs (CHI)C/LW251995-02-10No151 Lbs5 ft7NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Brendan GaunceIceHogs (CHI)C/LW261994-03-25No217 Lbs6 ft2NoNoNo4Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$700,000$Lien
Carsen TwarynskiIceHogs (CHI)LW221997-11-24No198 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Connor CarrickIceHogs (CHI)D261994-04-13No192 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Dylan SikuraIceHogs (CHI)C/LW/RW251995-06-01No158 Lbs5 ft11NoNoNo2Pro & Farm1,187,500$1,187,500$450,000$450,000$0$0$No1,187,500$Lien
Frederik GauthierIceHogs (CHI)C251995-04-26No238 Lbs6 ft5NoNoNo3Pro & Farm675,000$675,000$675,000$675,000$0$0$No675,000$675,000$Lien
Gustav ForslingIceHogs (CHI)D241996-06-12No186 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
John HaydenIceHogs (CHI)LW/RW251995-02-14No223 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Joseph DuszakIceHogs (CHI)D221997-07-22Yes185 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Julien GauthierIceHogs (CHI)RW221997-10-15No225 Lbs6 ft4NoNoNo2Pro & Farm1,163,333$1,163,333$450,000$450,000$0$0$No1,163,333$Lien
Justin BaileyIceHogs (CHI)RW241995-07-01No214 Lbs6 ft3NoNoNo2Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$Lien
Kole LindIceHogs (CHI)RW211998-10-16No178 Lbs6 ft1NoNoNo2Pro & Farm1,125,000$1,125,000$450,000$450,000$0$0$No1,125,000$Lien
Kyle CapobiancoIceHogs (CHI)D221997-08-13No178 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Lucas ElvenesIceHogs (CHI)LW/RW201999-08-18Yes172 Lbs6 ft1NoNoNo3Pro & Farm776,667$776,667$776,667$776,667$0$0$No776,667$776,667$Lien
Luke JohnsonIceHogs (CHI)C251994-09-18No198 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Matt TomkinsIceHogs (CHI)G261994-06-19Yes194 Lbs6 ft3NoNoNo3Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$
Michael PaliottaIceHogs (CHI)D271993-04-05No207 Lbs6 ft4NoNoNo2Pro & Farm600,000$600,000$450,000$450,000$0$0$No600,000$Lien
Riley NashIceHogs (CHI)C/RW311989-05-09No190 Lbs6 ft1NoNoNo2Pro & Farm2,750,000$2,750,000$2,750,000$2,750,000$0$0$No2,750,000$Lien
Robert BortuzzoIceHogs (CHI)D311989-03-18No216 Lbs6 ft4NoNoNo1Pro & Farm1,150,000$1,150,000$1,150,000$1,150,000$0$0$NoLien
Robert HaggIceHogs (CHI)D251995-02-07No204 Lbs6 ft2NoNoNo1Pro & Farm894,167$894,167$894,167$894,167$0$0$NoLien
Ryan HartmanIceHogs (CHI)C/RW251994-09-20No181 Lbs6 ft0NoNoNo1Pro & Farm1,900,000$1,900,000$1,900,000$1,900,000$0$0$NoLien
Stuart SkinnerIceHogs (CHI)G211998-11-01No203 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Tommy NovakIceHogs (CHI)C231997-04-28Yes179 Lbs6 ft1NoNoNo3Pro & Farm823,750$823,750$817,500$817,500$0$0$No817,500$817,500$Lien
Vinnie HinostrozaIceHogs (CHI)C/RW261994-04-03No173 Lbs5 ft9NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2924.62194 Lbs6 ft11.901,005,696$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan GaunceRiley NashJustin Bailey35122
2John HaydenFrederik GauthierDylan Sikura30122
3Lucas ElvenesLuke JohnsonJulien Gauthier25122
4Carsen TwarynskiTommy NovakAdam Ruzicka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert HaggGustav Forsling35122
2Michael PaliottaTommy Novak30122
3Carsen TwarynskiAlex Broadhurst25122
4Robert HaggGustav Forsling10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan GaunceRiley NashJustin Bailey60122
2John HaydenFrederik GauthierDylan Sikura40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert HaggGustav Forsling60122
2Michael PaliottaTommy Novak40122
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 HaggGustav Forsling60122
2Michael Paliotta40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Justin Bailey60122Robert HaggGustav Forsling60122
2Riley Nash40122Michael Paliotta40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Justin BaileyRiley Nash60122
2Brendan GaunceFrederik Gauthier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Robert HaggGustav Forsling60122
2Michael Paliotta40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan GaunceRiley NashJustin BaileyRobert HaggGustav Forsling
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan GaunceRiley NashJustin BaileyRobert HaggGustav Forsling
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kole Lind, Anthony Louis, Andreas MartinsenKole Lind, Anthony LouisAndreas Martinsen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Paliotta, Robert Hagg, Gustav ForslingMichael PaliottaRobert Hagg, Gustav Forsling
Tirs de Pénalité
Justin Bailey, Riley Nash, Brendan Gaunce, Frederik Gauthier, John Hayden
Gardien
#1 : Alex Nedeljkovic, #2 : Stuart Skinner


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
1Admirals22000000404110000002021100000020241.0004711021166132635147433955361516.67%140100.00%013924057.92%11020055.00%5911750.43%2001361806310453
2Rampage11000000303110000003030000000000021.00035801116613663514741051215900.00%50100.00%013924057.92%11020055.00%5911750.43%2001361806310453
3Stars11000000532110000005320000000000021.00059140011661176351474255161311436.36%7185.71%013924057.92%11020055.00%5911750.43%2001361806310453
Total85200001231765410000015873110000189-1110.688234265031166116263514741263413014562711.29%45393.33%013924057.92%11020055.00%5911750.43%2001361806310453
5Wolf Pack21000001761110000004221000000134-130.75071320001166139635147438822391400.00%10190.00%013924057.92%11020055.00%5911750.43%2001361806310453
6Wolves2020000048-41010000013-21010000035-200.00048120011661386351474207254213215.38%9188.89%013924057.92%11020055.00%5911750.43%2001361806310453
_Since Last GM Reset85200001231765410000015873110000189-1110.688234265031166116263514741263413014562711.29%45393.33%013924057.92%11020055.00%5911750.43%2001361806310453
_Vs Conference64200000161154310000011652110000055080.66716294503116611236351474882610810648714.58%35294.29%013924057.92%11020055.00%5911750.43%2001361806310453
_Vs Division64200000161154310000011652110000055080.66716294503116611236351474882610810648714.58%35294.29%013924057.92%11020055.00%5911750.43%2001361806310453

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
811W52342651621263413014503
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
85200012317
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5410000158
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
311000189
Derniers 10 Matchs
WLOTWOTL SOWSOL
520001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
62711.29%45393.33%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
635147411661
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
13924057.92%11020055.00%5911750.43%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2001361806310453


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
2 - 2020-09-0410Wolves3IceHogs1LSommaire du Match
3 - 2020-09-0521IceHogs3Wolves5LSommaire du Match
4 - 2020-09-0630IceHogs3Wolf Pack4LXXSommaire du Match
5 - 2020-09-0742Wolf Pack2IceHogs4WSommaire du Match
8 - 2020-09-1055Admirals0IceHogs2WSommaire du Match
9 - 2020-09-1169Rampage0IceHogs3WSommaire du Match
10 - 2020-09-1276IceHogs2Admirals0WSommaire du Match
12 - 2020-09-1491Stars3IceHogs5WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2020-09-15102IceHogs-Rampage-
14 - 2020-09-16105IceHogs-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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,916,519$ 2,470,811$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 3 0$ 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