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IceHogs

GP: 49 | W: 26 | L: 19 | OTL: 4 | P: 56
GF: 227 | GA: 177 | PP%: 21.62% | PK%: 80.00%
DG: Laurent Laporte | Morale : 50 | Moyenne d'Équipe : 63
Prochain matchs #779 vs Wolves
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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
1Jesperi KotkaniemiX100.006943826780767968806963667159620506501923,425,000$
2Michael AmadioXX100.00543986667871806478656362666764050640232700,000$
3Nicolas RoyXX100.00694588668675736471636265636564047640221815,000$
4Chris TerryXX100.00544887636987906164626258637971050630301675,000$
5Curtis McKenzieX100.00675980628188896063615864627769050630281750,000$
6Kristian VesalainenXX100.006545906285757663566159646261630486302031,460,833$
7Michael SgarbossaX100.00594687627178756374626164627568050630272700,000$
8Nic PetanXXX100.00543987686474736778666261676965050630242775,000$
9Gabriel VilardiX100.006442906584746763756159626561630506202031,627,500$
10Jansen HarkinsX100.00594688637475736268615960636562050620221925,000$
11C.J. SmithX100.00574283626977736157606058627166050610242700,000$
12Jaret Anderson-DolanX100.00584389657076746370615859596162050610203913,333$
13Dante FabbroX100.007139756872858365306663675263620506502121,491,666$
14Chris BigrasX100.00614886607682815830595356466965050600242700,000$
15Dysin MayoX100.00625186567687895430525357456764050590231715,000$
Rayé
MOYENNE D'ÉQUIPE100.0062458664767978626262606261676505063
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
1Mike Condon100.0076535180757476757476757884050660
Rayé
MOYENNE D'ÉQUIPE100.007653518075747675747675788405066
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Dante FabbroIceHogs (CHI)D491642582224013381139529711.51%80120124.5345954101202574300.00%000000.9700000604
2Jesperi KotkaniemiIceHogs (CHI)C37193958112151051191885714710.11%1788724.0009916750114693060.26%107200011.3114010731
3Michael SgarbossaIceHogs (CHI)C4927305724120511422066015113.11%2488518.0851618480000223260.87%112700011.2901000023
4Kristian VesalainenIceHogs (CHI)LW/RW47163551301808964212561727.55%1691119.3815616810001253156.79%8100011.1200000214
5Chris TerryIceHogs (CHI)LW/RW492228502913546751885914011.70%1092018.781562586000004244.93%6900011.0900001242
6Curtis McKenzieIceHogs (CHI)LW492821497200103722113511013.27%1980516.45101380001182054.24%5900021.2200000212
7Nic PetanIceHogs (CHI)C/LW/RW49242448124046942286217210.53%1491818.7454934960110372163.64%9900001.0512000031
8Michael AmadioIceHogs (CHI)C/RW4917284502057107230721777.39%17100120.4426819911124812062.05%58500010.9013000130
9Jansen HarkinsIceHogs (CHI)C491524398603487172511268.72%2181616.6601129000041156.54%64200000.9600000133
10Gabriel VilardiIceHogs (CHI)C4911243502007469155471277.10%3894019.191231029000001052.63%26600010.7401000120
11C.J. SmithIceHogs (CHI)LW497243117320102408428538.33%8491918.7701100000000062.50%1600000.6700000020
12Nicolas RoyIceHogs (CHI)C/RW2182230198029509933558.08%542420.221347400113340065.52%2900001.4114000002
13Dysin MayoIceHogs (CHI)D45620267200902140122615.00%7189920.000331165011167000.00%100000.5800000300
14Jaret Anderson-DolanIceHogs (CHI)C4942024816065395620407.14%4385317.4311219490000140044.44%1800000.5600000001
15Chris BigrasIceHogs (CHI)D4931013154055374914306.12%58117423.962021697000182000.00%000000.2200000002
Stats d'équipe Total ou en Moyenne6892233916142092201010791097225765816239.88%5171356219.682446702508803582053424759.23%406400080.91415011252425
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
1Mike CondonIceHogs (CHI)49261740.8943.3028012115414500130.72218490210
Stats d'équipe Total ou en Moyenne49261740.8943.3028012115414500130.72218490210


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 Cap 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
C.J. SmithIceHogs (CHI)LW241994-12-01No184 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Chris BigrasIceHogs (CHI)D241995-02-22No191 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Chris TerryIceHogs (CHI)LW/RW301989-04-07No191 Lbs5 ft10NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Curtis McKenzieIceHogs (CHI)LW281991-02-22No205 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Dante FabbroIceHogs (CHI)D211998-06-20No189 Lbs6 ft0NoNoNo2Pro & Farm1,491,666$0$0$No1,491,666$Lien
Dysin MayoIceHogs (CHI)D231996-08-17No194 Lbs6 ft1NoNoNo1Pro & Farm715,000$0$0$NoLien / Lien NHL
Gabriel VilardiIceHogs (CHI)C201999-08-16No201 Lbs6 ft3NoNoNo3Pro & Farm1,627,500$0$0$No1,627,500$1,627,500$Lien
Jansen HarkinsIceHogs (CHI)C221997-05-23No182 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Jaret Anderson-DolanIceHogs (CHI)C201999-09-12No188 Lbs5 ft11NoNoNo3Pro & Farm913,333$0$0$No913,333$913,333$Lien
Jesperi KotkaniemiIceHogs (CHI)C192000-07-06No198 Lbs6 ft2NoNoNo2Pro & Farm3,425,000$0$0$No3,425,000$Lien / Lien NHL
Kristian VesalainenIceHogs (CHI)LW/RW201999-06-01No207 Lbs6 ft3NoNoNo3Pro & Farm1,460,833$0$0$No1,460,833$1,460,833$Lien / Lien NHL
Michael AmadioIceHogs (CHI)C/RW231996-05-13No204 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Michael SgarbossaIceHogs (CHI)C271992-07-25No185 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Mike CondonIceHogs (CHI)G291990-04-27No196 Lbs6 ft2NoNoNo1Pro & Farm2,400,000$0$0$NoLien / Lien NHL
Nic PetanIceHogs (CHI)C/LW/RW241995-03-22No175 Lbs5 ft9NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien / Lien NHL
Nicolas RoyIceHogs (CHI)C/RW221997-02-05No200 Lbs6 ft4NoNoNo1Pro & Farm815,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1623.50193 Lbs6 ft11.811,173,333$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nic PetanMichael Amadio30122
2Kristian VesalainenMichael SgarbossaChris Terry30122
3Curtis McKenzieJansen HarkinsGabriel Vilardi25122
4C.J. SmithGabriel Vilardi15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dante FabbroChris Bigras30122
2Dysin MayoJaret Anderson-Dolan30122
3C.J. Smith25122
4Dante FabbroChris Bigras15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nic PetanMichael Amadio60122
2Kristian VesalainenMichael SgarbossaChris Terry40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dante FabbroChris Bigras60122
2Dysin MayoJaret Anderson-Dolan40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael Amadio60122
2Nic PetanMichael Sgarbossa40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dante FabbroChris Bigras60122
2Dysin Mayo40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Dante FabbroChris Bigras60122
2Michael Amadio40122Dysin Mayo40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael Amadio60122
2Nic PetanMichael Sgarbossa40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dante FabbroChris Bigras60122
2Dysin Mayo40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nic PetanMichael AmadioDante FabbroChris Bigras
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nic PetanMichael AmadioDante FabbroChris Bigras
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Curtis McKenzie, Jansen Harkins, Kristian VesalainenCurtis McKenzie, Jansen HarkinsKristian Vesalainen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dysin Mayo, Dante Fabbro, Chris BigrasDysin MayoDante Fabbro, Chris Bigras
Tirs de Pénalité
, Michael Amadio, Nic Petan, Michael Sgarbossa, Kristian Vesalainen
Gardien
#1 : Mike Condon, #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals30200001612-61000000134-12020000038-510.16761117001106946411174272378335992514635120.00%6266.67%21155196058.93%858158754.06%49087056.32%13409911023316604318
2Americans2020000036-31010000012-11010000024-200.000347101106946499742723783355114445500.00%20100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
3Barracuda32000010171162200000010551000001076161.000172845001106946411374272378335843012528225.00%6183.33%01155196058.93%858158754.06%49087056.32%13409911023316604318
4Bears1010000024-21010000024-20000000000000.00023510110694645274272378335261022611100.00%10100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
5Bruins22000000954110000004131100000054141.0009142300110694647874272378335592810527114.29%5260.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
6Checkers11000000422110000004220000000000021.000471100110694644574272378335236614200.00%30100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
7Comets4400000044836110000001138330000003352881.0004480124001106946433774272378335812312915240.00%60100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
8Condors220000002031722000000203170000000000041.00020355500110694641787427237833528171043200.00%4175.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
9Crunch1010000027-5000000000001010000027-500.000246001106946441742723783354996303133.33%3166.67%01155196058.93%858158754.06%49087056.32%13409911023316604318
10Devils11000000853110000008530000000000021.000814220011069464387427237833540124142150.00%20100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
11Eagles11000000422000000000001100000042221.0004812001106946450742723783352413025200.00%000.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
12Griffins11000000422110000004220000000000021.000471100110694644374272378335361210134125.00%40100.00%11155196058.93%858158754.06%49087056.32%13409911023316604318
13Gulls20200000413-91010000019-81010000034-100.000461000110694648174272378335872510455120.00%5260.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
14Heat1010000068-2000000000001010000068-200.0006915001106946448742723783355215626100.00%3166.67%01155196058.93%858158754.06%49087056.32%13409911023316604318
15Monsters1000000134-11000000134-10000000000010.50035800110694643074272378335369725100.00%10100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
16Moose110000001001000000000000110000001001021.00010203001110694648174272378335175227000.00%10100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
17Penguins11000000743110000007430000000000021.00071320001106946450742723783354196233133.33%3166.67%01155196058.93%858158754.06%49087056.32%13409911023316604318
18Phantoms302000101314-120100010111101010000023-120.3331322350011069464119742723783351284512747571.43%6183.33%01155196058.93%858158754.06%49087056.32%13409911023316604318
19Rampage3110000178-1210000015411010000024-230.5007111800110694641227427237833512539863600.00%40100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
20Roadrunners321000001214-21100000064221100000610-440.6671222340011069464121742723783351063812841218.33%6266.67%01155196058.93%858158754.06%49087056.32%13409911023316604318
21Rocket1000010034-11000010034-10000000000010.50034700110694643074272378335317922300.00%20100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
22Senators11000000532000000000001100000053221.0005914001106946453742723783352142235240.00%10100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
23Sound Tigers2020000079-21010000056-11010000023-100.0007121900110694647174272378335722110457114.29%4175.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
24Stars31200000911-2110000005322020000048-420.333917261011069464104742723783351113924509222.22%11281.82%01155196058.93%858158754.06%49087056.32%13409911023316604318
25Thunderbirds11000000624000000000001100000062421.0006814001106946446742723783352715222000.00%10100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
Total492419001232271775025137001131189127241112000101098623560.5712273946213111069464226774272378335158552122010971112421.62%1002080.00%31155196058.93%858158754.06%49087056.32%13409911023316604318
26Wild2110000089-11010000035-21100000054120.5008152300110694647174272378335752610593133.33%5180.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
27Wolf Pack11000000211000000000001100000021121.000235001106946431742723783352110218000.00%10100.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
28Wolves1010000026-41010000026-40000000000000.000235001106946424742723783353515823300.00%4250.00%01155196058.93%858158754.06%49087056.32%13409911023316604318
_Since Last GM Reset492419001232271775025137001131189127241112000101098623560.5712273946213111069464226774272378335158552122010971112421.62%1002080.00%31155196058.93%858158754.06%49087056.32%13409911023316604318
_Vs Conference2712110001311210391483000036249131348000105054-4290.537112197309111106946411777427237833591530813359861914.75%601476.67%31155196058.93%858158754.06%49087056.32%13409911023316604318
_Vs Division16450000310563428220000350302082300000553322110.3441051832880011069464902742723783354731637036436616.67%34973.53%01155196058.93%858158754.06%49087056.32%13409911023316604318

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4956L122739462122671585521220109731
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4924190123227177
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25137011311891
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
241112001010986
Derniers 10 Matchs
WLOTWOTL SOWSOL
450010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1112421.62%1002080.00%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
7427237833511069464
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
1155196058.93%858158754.06%49087056.32%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13409911023316604318


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 - 2020-10-068Rampage1IceHogs3WSommaire du Match
4 - 2020-10-0823IceHogs1Stars3LSommaire du Match
6 - 2020-10-1040Wolves6IceHogs2LSommaire du Match
8 - 2020-10-1254IceHogs11Comets2WSommaire du Match
10 - 2020-10-1471IceHogs5Senators3WSommaire du Match
12 - 2020-10-1683Rampage3IceHogs2LXXSommaire du Match
14 - 2020-10-1898Barracuda3IceHogs4WSommaire du Match
15 - 2020-10-19111IceHogs10Moose0WSommaire du Match
19 - 2020-10-23136IceHogs3Gulls4LSommaire du Match
21 - 2020-10-25147Phantoms6IceHogs5LSommaire du Match
23 - 2020-10-27164Roadrunners4IceHogs6WSommaire du Match
24 - 2020-10-28175IceHogs4Roadrunners2WSommaire du Match
27 - 2020-10-31193IceHogs1Admirals4LSommaire du Match
29 - 2020-11-02203Sound Tigers6IceHogs5LSommaire du Match
32 - 2020-11-05229Condors1IceHogs9WSommaire du Match
35 - 2020-11-08247IceHogs3Stars5LSommaire du Match
37 - 2020-11-10262Monsters4IceHogs3LXXSommaire du Match
39 - 2020-11-12277IceHogs7Barracuda6WXXSommaire du Match
41 - 2020-11-14292Comets3IceHogs11WSommaire du Match
43 - 2020-11-16311IceHogs2Admirals4LSommaire du Match
44 - 2020-11-17321Admirals4IceHogs3LXXSommaire du Match
47 - 2020-11-20339IceHogs2Crunch7LSommaire du Match
48 - 2020-11-21351Griffins2IceHogs4WSommaire du Match
51 - 2020-11-24370IceHogs2Wolf Pack1WSommaire du Match
53 - 2020-11-26385Barracuda2IceHogs6WSommaire du Match
55 - 2020-11-28403IceHogs5Bruins4WSommaire du Match
57 - 2020-11-30415Condors2IceHogs11WSommaire du Match
59 - 2020-12-02434IceHogs6Heat8LSommaire du Match
60 - 2020-12-03445Checkers2IceHogs4WSommaire du Match
63 - 2020-12-06462IceHogs2Americans4LSommaire du Match
66 - 2020-12-09477Penguins4IceHogs7WSommaire du Match
69 - 2020-12-12502Rocket4IceHogs3LXSommaire du Match
71 - 2020-12-14517IceHogs2Rampage4LSommaire du Match
73 - 2020-12-16533Stars3IceHogs5WSommaire du Match
75 - 2020-12-18547IceHogs2Roadrunners8LSommaire du Match
77 - 2020-12-20561IceHogs4Eagles2WSommaire du Match
79 - 2020-12-22572Bears4IceHogs2LSommaire du Match
82 - 2020-12-25596Bruins1IceHogs4WSommaire du Match
84 - 2020-12-27612IceHogs12Comets1WSommaire du Match
86 - 2020-12-29625IceHogs2Phantoms3LSommaire du Match
87 - 2020-12-30636Americans2IceHogs1LSommaire du Match
90 - 2021-01-02654IceHogs6Thunderbirds2WSommaire du Match
92 - 2021-01-04668Phantoms5IceHogs6WXXSommaire du Match
93 - 2021-01-05681IceHogs10Comets2WSommaire du Match
96 - 2021-01-08699Wild5IceHogs3LSommaire du Match
99 - 2021-01-11719Gulls9IceHogs1LSommaire du Match
101 - 2021-01-13737IceHogs5Wild4WSommaire du Match
103 - 2021-01-15750Devils5IceHogs8WSommaire du Match
105 - 2021-01-17763IceHogs2Sound Tigers3LSommaire du Match
107 - 2021-01-19779IceHogs-Wolves-
109 - 2021-01-21787IceHogs-Marlies-
110 - 2021-01-22796Heat-IceHogs-
113 - 2021-01-25817Wolves-IceHogs-
115 - 2021-01-27833IceHogs-Griffins-
118 - 2021-01-30851Wolf Pack-IceHogs-
120 - 2021-02-01862IceHogs-Moose-
122 - 2021-02-03877IceHogs-Devils-
124 - 2021-02-05890Heat-IceHogs-
127 - 2021-02-08909IceHogs-Bears-
128 - 2021-02-09920Thunderbirds-IceHogs-
131 - 2021-02-12937IceHogs-Condors-
132 - 2021-02-13948Senators-IceHogs-
135 - 2021-02-16967IceHogs-Reign-
137 - 2021-02-18979Rampage-IceHogs-
139 - 2021-02-20994IceHogs-Gulls-
140 - 2021-02-211009Sound Tigers-IceHogs-
143 - 2021-02-241032Moose-IceHogs-
146 - 2021-02-271047IceHogs-Penguins-
148 - 2021-03-011061IceHogs-Reign-
150 - 2021-03-031075Reign-IceHogs-
152 - 2021-03-051094Rampage-IceHogs-
154 - 2021-03-071109IceHogs-Rocket-
156 - 2021-03-091123IceHogs-Stars-
157 - 2021-03-101132IceHogs-Wild-
159 - 2021-03-121143Crunch-IceHogs-
162 - 2021-03-151165Marlies-IceHogs-
166 - 2021-03-191192Roadrunners-IceHogs-
167 - 2021-03-201197IceHogs-Senators-
171 - 2021-03-241220Eagles-IceHogs-
173 - 2021-03-261229IceHogs-Monsters-
174 - 2021-03-271231IceHogs-Checkers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
181 - 2021-04-031270Eagles-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
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,070,849$ 1,877,333$ 1,122,583$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,070,849$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 76 10,315$ 783,940$




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
Saison Régulière
282254501218290366-7641181401116172162104173100102118204-86502905108003012576875295099794399441253774281513843325917.77%3327278.31%21564288554.21%1072216849.45%738148849.60%2009140119075981050523
382204901525247348-10141122200313125167-424182701212122181-5940247410657029381706314810051016108068286676172013653625715.75%2968072.97%21726306456.33%1283231255.49%788137457.35%2021143319185871029510
4825218002372661808641279000231398752412590021412793341042664817472111147277629461010952964682432678122018835779716.81%5157286.02%51674316452.91%1475295149.98%637124051.37%2051139318906391035530
58259120334132014717341305021211666610041297012201548173118320587907010133102789332410241156111443215661455520322234921.97%2403187.08%81933304363.52%1501251959.59%767125860.97%2258165616895411009533
6825714030443841901944130601022196901064127802022188100881143846871071011163122929398913631270133351252372758720842193515.98%2454282.86%72164349561.92%1646276759.49%798132660.18%233717341628534999530
782541701253366202164412880004120697109412690121216010555108366659102505152124849394412841257137653235472748118822105325.24%2184479.82%32246351963.82%1614263661.23%884136764.67%233917391629527999534
882512103034474255219412860201426211914341231501020212136761024748611335021871581238432313931441146644254174056918751814725.97%2416075.10%52166332965.06%1613258662.37%968152663.43%241918371565490972531
882512103034474255219412860201426211914341231501020212136761024748611335021871581238432313931441146644254174056918751814725.97%2416075.10%52166332965.06%1613258662.37%968152663.43%241918371565490972531
9492419001232271775025137001131189127241112000101098623562273946213111069464226774272378335158552122010971112421.62%1002080.00%31155196058.93%858158754.06%49087056.32%13409911023316604318
Total Saison Régulière70539321601515273930482120928353214830861527164699864835217913307912121402112228079430485450849884412649627806431214102111019910576447215356250573615477239646819.53%242848180.19%40167942778860.44%126752211257.32%70381197558.77%191971402614816472686734544
Séries
4136700000363427430000021165624000001518-3123668104029179143513915813623671231863081031413.59%841285.71%123149746.48%21245446.70%8620242.57%30519930510817085
51610600000453312853000002417785300000211652045791240124910261120217618845513155149395551018.18%62985.48%039865560.76%34559757.79%12424650.41%451319384123214109
62316700000805921131030000046291710640000034304328014322301262527292931327930136744216176566711115.49%76692.11%049593852.77%44286850.92%18737549.87%593415530171305152
762400000161603120000078-131200000981416294500483123062777714179523216123313.04%16475.00%016126061.92%12120758.45%429046.67%165116135468443
8136700000363247430000024159624000001217-5123662981112168047113716916503891137930950510.00%36683.33%125248851.64%23344852.01%11118958.73%3132153029816581
Total Séries7140310000021317439382414000001228537331617000009189280213381594157575576267685385986797219265962217393024314.24%2743786.50%21537283854.16%1353257452.56%550110249.91%182912651657548939472