Stars
GP: 82 | W: 44 | L: 34 | OTL: 4 | P: 92
GF: 215 | GA: 203 | PP%: 12.01% | PK%: 88.78%
DG: Éric Pilon | Morale : 50 | Moyenne d'Équipe : N/A
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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 Dostie (R)X100.00716096636059605771456364605555625000233925,000$
2Justin DowlingXXX100.00734390706657706852605969255152645000291650,000$
3Warren FoegeleXX100.00734385677265905941707171255960714400241746,667$
4Adam ErneXX100.00904685727761786557555666756061645000251894,167$
5Tom KuhnhacklXX100.00764497777359565825606074256063655000282700,000$
6Tomas NosekXX100.00794590697959855974606272256062675000272962,500$
7Victor RaskXXX100.006743957275566462666562583667676446002711,000,000$
8Dominik Simon (A)XX100.00734393776967856237686056256364655000254750,000$
9Matthew Strome (R)X100.00827892557861644950454864464444565000213879,167$
10Remi ElieX100.00817790607757585650476066574747615000253450,000$
11Alex Petrovic (R)X100.008381866281606351254740653844445449002811,050,000$
12Connor HobbsX100.00726980596955584525324161395353505000231720,000$
13Christian FolinX100.008988777578645858254548692564655920002921,700,000$
14John MooreX100.00806986867970625825434976697174618002922,750,000$
15Alex Alexeyev (R)X100.00817790637767715125464164394444555000203894,167$
16Joseph Cecconi (R)X100.008176916176525444253439633744445150002331,293,750$
Rayé
MOYENNE D'ÉQUIPE100.0078618968746167564251546640555661450
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
1Michael Hutchinson100.0053616181574850555853785959555000
2Joey Daccord (R)100.0060607577626455646160304444605000
Rayé
MOYENNE D'ÉQUIPE100.005761687960565360605754525258500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek Lalonde83807985735884USA4631,250,000$


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
1Tomas NosekStars (DAL)C/LW82293362124551182372084614513.94%22172020.98412164432601173016159.96%196300000.7201001538
2Dominik SimonStars (DAL)LW/RW82115162-934068164167371036.59%9149818.2851823403410001580042.57%10100000.8301000054
3Adam ErneStars (DAL)LW/RW82273461710001791552065312713.11%11151218.456915473211013806458.21%6700000.8159000873
4Tom KuhnhacklStars (DAL)LW/RW82233861-5280801561845612012.50%20171820.96712194632901132713139.09%11000000.7100000529
5Victor RaskStars (DAL)C/LW/RW781741585100241791594710210.69%10161420.70412163229401141662358.96%147900000.7212000634
6Warren FoegeleStars (DAL)LW/RW74252348-5300941241624512315.43%25146619.81115164130820261976345.24%16800110.6501000454
7Alex DostieStars (DAL)C82202545-63010521651714711511.70%16136816.69246322370000513456.42%95000010.6639011511
8Matthew StromeStars (DAL)LW82103343176915725589255811.24%19146617.88257283060003902140.00%5500000.5913102415
9Justin DowlingStars (DAL)C/LW/RW82142337-22807312714630839.59%23123715.090442416001123011247.09%67100010.6000000251
10Remi ElieStars (DAL)LW82131225-1860109579104257112.50%1693911.4631412900000363243.90%4100000.5317110322
11Alex PetrovicStars (DAL)D7971017-910951244928103425.00%39154519.565491831800002811042.86%700000.2200001002
12Joseph CecconiStars (DAL)D822101231301011943242238.33%56137916.8201129600002621040.00%500000.1700101010
13Alex AlexeyevStars (DAL)D443811-346048212221213.64%2579218.01101129100011150028.57%700000.2800000100
14Connor HobbsStars (DAL)D82088188109034175200.00%50142417.3802271410001277000.00%100000.1100101010
15Christian FolinStars (DAL)D20145-63556313187105.56%1742121.051231181000166000.00%100000.2400001100
16John MooreStars (DAL)D4022100665160.00%47719.3600012000015000.00%000000.5211000000
Stats d'équipe Total ou en Moyenne1119202355557-1784270130516071710438115211.81%3622018418.0451911423973449347322577342155.97%562600130.551234428443643
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
1Joey DaccordStars (DAL)73402830.8752.4742100217313800120.710317210121
2Michael HutchinsonStars (DAL)154610.9101.9076001242660000.83361062111
Stats d'équipe Total ou en Moyenne88443440.8802.3849710319716460120.730378272232


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 ErneStars (DAL)LW/RW251995-04-20No214 Lbs6 ft1NoNoNo1Pro & Farm894,167$7,211$894,167$7,211$0$0$NoLien
Alex AlexeyevStars (DAL)D201999-11-15Yes201 Lbs6 ft4NoNoNo3Pro & Farm894,167$7,211$450,000$3,629$0$0$No894,167$894,167$
Alex DostieStars (DAL)C231997-04-13Yes165 Lbs5 ft10NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Alex PetrovicStars (DAL)D281992-03-03Yes216 Lbs6 ft4NoNoNo1Pro & Farm1,050,000$8,468$1,050,000$8,468$0$0$NoLien
Christian FolinStars (DAL)D291991-02-09No204 Lbs6 ft3NoNoNo2Pro & Farm1,700,000$13,710$1,700,000$13,710$0$0$No1,700,000$Lien
Connor HobbsStars (DAL)D231997-01-04No187 Lbs6 ft1NoNoNo1Pro & Farm720,000$5,806$720,000$5,806$0$0$NoLien
Dominik SimonStars (DAL)LW/RW251994-08-08No190 Lbs5 ft11NoNoNo4Pro & Farm750,000$6,048$750,000$6,048$0$0$No750,000$750,000$750,000$Lien
Joey DaccordStars (DAL)G231996-08-19Yes196 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
John MooreStars (DAL)D291990-11-19No210 Lbs6 ft2NoNoNo2Pro & Farm2,750,000$22,177$2,750,000$22,177$0$0$No2,750,000$Lien
Joseph CecconiStars (DAL)D231997-05-23Yes209 Lbs6 ft2NoNoNo3Pro & Farm1,293,750$10,433$1,293,750$10,433$0$0$No1,293,750$1,293,750$
Justin DowlingStars (DAL)C/LW/RW291990-10-01No185 Lbs5 ft10NoNoNo1Pro & Farm650,000$5,242$650,000$5,242$0$0$NoLien
Matthew StromeStars (DAL)LW211999-01-05Yes206 Lbs6 ft4NoNoNo3Pro & Farm879,167$7,090$879,167$7,090$0$0$No879,167$879,167$
Michael HutchinsonStars (DAL)G301990-03-01No202 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Remi ElieStars (DAL)LW251995-04-15No210 Lbs6 ft1NoNoNo3Pro & Farm450,000$3,629$450,000$3,629$0$0$No450,000$450,000$Lien
Tom KuhnhacklStars (DAL)LW/RW281992-01-21No196 Lbs6 ft2NoNoNo2Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$Lien
Tomas NosekStars (DAL)C/LW271992-08-31No210 Lbs6 ft3NoNoNo2Pro & Farm962,500$7,762$962,500$7,762$0$0$No962,500$Lien
Victor RaskStars (DAL)C/LW/RW271993-03-01No200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Warren FoegeleStars (DAL)LW/RW241996-04-01No190 Lbs6 ft2NoNoNo1Pro & Farm746,667$6,022$746,667$6,022$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1825.50200 Lbs6 ft21.941,020,301$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tom KuhnhacklTomas NosekDominik Simon35014
2Warren FoegeleVictor RaskAdam Erne35014
3Matthew StromeAlex DostieJustin Dowling20122
4Remi ElieVictor RaskTom Kuhnhackl10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex PetrovicAlex Alexeyev30032
2Christian FolinJohn Moore30032
3Joseph CecconiConnor Hobbs20032
4Alex PetrovicAlex Alexeyev20032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tom KuhnhacklVictor RaskAdam Erne60005
2Dominik SimonTomas NosekWarren Foegele40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex PetrovicChristian Folin50023
2Connor HobbsMatthew Strome50023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tomas NosekMatthew Strome50041
2Justin DowlingTom Kuhnhackl50041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex PetrovicAlex Alexeyev50050
2John MooreChristian Folin50050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tomas Nosek50050Alex PetrovicAlex Alexeyev50050
2Justin Dowling50050John MooreChristian Folin50050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Victor RaskMatthew Strome50023
2Tomas NosekTom Kuhnhackl50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alex PetrovicAlex Alexeyev50032
2Christian FolinJoseph Cecconi50032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tomas NosekVictor RaskDominik SimonAlex PetrovicAlex Alexeyev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Victor RaskTomas NosekJustin DowlingAlex PetrovicAlex Alexeyev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Victor Rask, Dominik Simon, Tomas NosekVictor Rask, Dominik SimonTomas Nosek
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alex Petrovic, Alex Alexeyev, Christian FolinAlex PetrovicAlex Petrovic, Alex Alexeyev
Tirs de Pénalité
Adam Erne, Alex Dostie, Remi Elie, Matthew Strome, Victor Rask
Gardien
#1 : Joey Daccord, #2 : Michael Hutchinson


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
1Admirals3120000047-3211000004401010000003-320.3334812006481591850545612619616321387015213.33%19289.47%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
2Bruins2020000037-41010000002-21010000035-200.00036900648159185354561261961381528349111.11%14285.71%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
3Condors330000001138220000007251100000041361.00011172800648159188654561261961471455481317.69%17194.12%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
4Crunch20100010550100000103211010000023-120.500571200648159184754561261961521524441119.09%120100.00%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
5Flames3020001036-31010000013-22010001023-120.33333600648159185654561261961441836621915.26%17288.24%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
6Griffins22000000835110000002111100000062441.00081624006481591845545612619612451050600.00%50100.00%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
7IceHogs833000111922-3421000101210241200001712-590.56319294800648159181625456126196118236901454524.44%39392.31%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
8Marlies21000010752110000003211000001043141.0007111800648159185154561261961341030388112.50%13192.31%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
9Monarchs3110100011921010000034-12100100085340.667111627006481591867545612619616212304821419.05%14285.71%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
10Monsters42200000910-1211000004402110000056-140.5009162500648159188254561261961522353662328.70%20385.00%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
11Moose51400000815-72110000035-230300000510-520.2008162400648159188954561261961753056783525.71%24579.17%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
12Penguins2020000024-21010000001-11010000023-100.000246006481591845545612619614921313210110.00%13284.62%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
13Phantoms2010100067-1100010003211010000035-220.50061016006481591837545612619614714343410110.00%17194.12%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
14Rampage8500200138191943000001187114200200020128150.9383871109016481591824454561261961220578815337821.62%35780.00%11319232356.78%1192218954.45%682123055.45%1924131420216241032509
15Rocket2020000038-51010000003-31010000035-200.00036910648159183654561261961371421376116.67%8275.00%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
16Senators320000101376210000109541100000042261.000132033006481591877545612619615113314823626.09%120100.00%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
17Sharks31100010871210000107431010000013-240.66781220106481591878545612619615917445015213.33%20385.00%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
18Soldiers1347000022735-861300002812-4734000001923-4100.38527487501648159182495456126196128364181253811012.35%66690.91%11319232356.78%1192218954.45%682123055.45%1924131420216241032509
19Sound Tigers211000004401010000024-21100000020220.50048120164815918395456126196149143233600.00%15286.67%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
20Wolf Pack2110000045-1110000002111010000024-220.500481200648159184354561261961371114371417.14%70100.00%11319232356.78%1192218954.45%682123055.45%1924131420216241032509
21Wolves8520100022157440000001441041201000811-3120.750223860006481591816554561261961143476813351815.69%32390.63%01319232356.78%1192218954.45%682123055.45%1924131420216241032509
Total823334050642152031241201301043105822341132104021110121-11920.5612153705852364815918180154561261961164847199414934585512.01%4194788.78%31319232356.78%1192218954.45%682123055.45%1924131420216241032509
_Since Last GM Reset823334050642152031241201301043105822341132104021110121-11920.5612153705852364815918180154561261961164847199414934585512.01%4194788.78%31319232356.78%1192218954.45%682123055.45%1924131420216241032509
_Vs Conference58272104024160139212916800023805723291113040018082-2700.6031602794391364815918127454561261961120731769210613253912.00%2863488.11%21319232356.78%1192218954.45%682123055.45%1924131420216241032509
_Vs Division37191203014106911518114000135233191988030015458-4500.6761061862920264815918820545612619618282044276842142813.08%1721988.95%21319232356.78%1192218954.45%682123055.45%1924131420216241032509

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8292W321537058518011648471994149323
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8233345064215203
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412013104310582
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4113214021110121
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4585512.01%4194788.78%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
5456126196164815918
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
1319232356.78%1192218954.45%682123055.45%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1924131420216241032509


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 - 2020-09-273Soldiers1Stars0LSommaire du Match
2 - 2020-09-2815Stars2Soldiers5LSommaire du Match
4 - 2020-09-3026Stars2Soldiers3LSommaire du Match
5 - 2020-10-0139Soldiers3Stars1LSommaire du Match
6 - 2020-10-0249Rampage0Stars2WSommaire du Match
9 - 2020-10-0566Soldiers2Stars1LXXSommaire du Match
10 - 2020-10-0670Stars4Soldiers3WSommaire du Match
12 - 2020-10-0886Penguins1Stars0LSommaire du Match
14 - 2020-10-1093Stars2Wolves1WXSommaire du Match
16 - 2020-10-12102Stars1Soldiers4LSommaire du Match
18 - 2020-10-14111Stars6Rampage5WXSommaire du Match
20 - 2020-10-16128Admirals3Stars2LSommaire du Match
22 - 2020-10-18143Wolves1Stars3WSommaire du Match
23 - 2020-10-19154Stars2Wolves5LSommaire du Match
24 - 2020-10-20159Stars4Monsters3WSommaire du Match
25 - 2020-10-21171Moose2Stars3WSommaire du Match
27 - 2020-10-23180Stars3IceHogs2WSommaire du Match
28 - 2020-10-24189Sharks1Stars3WSommaire du Match
30 - 2020-10-26204Condors1Stars2WSommaire du Match
32 - 2020-10-28211Stars4Rampage3WXSommaire du Match
34 - 2020-10-30226Stars4Soldiers2WSommaire du Match
36 - 2020-11-01231Senators4Stars5WXXSommaire du Match
38 - 2020-11-03243Stars1Moose2LSommaire du Match
40 - 2020-11-05256Wolves1Stars5WSommaire du Match
42 - 2020-11-07266Stars1IceHogs4LSommaire du Match
44 - 2020-11-09276Stars2Moose3LSommaire du Match
45 - 2020-11-10284Wolves1Stars2WSommaire du Match
46 - 2020-11-11298Rampage1Stars7WSommaire du Match
48 - 2020-11-13314Rampage1Stars5WSommaire du Match
49 - 2020-11-14319Stars1Wolves4LSommaire du Match
50 - 2020-11-15326Stars0Flames2LSommaire du Match
51 - 2020-11-16340Soldiers0Stars2WSommaire du Match
52 - 2020-11-17346Stars4Monarchs2WSommaire du Match
54 - 2020-11-19364Stars2IceHogs3LXXSommaire du Match
55 - 2020-11-20369Soldiers4Stars3LXXSommaire du Match
56 - 2020-11-21380Stars2Soldiers3LSommaire du Match
57 - 2020-11-22392Rampage5Stars4LXXSommaire du Match
59 - 2020-11-24409Monsters1Stars2WSommaire du Match
60 - 2020-11-25421Stars2Wolf Pack4LSommaire du Match
61 - 2020-11-26430Monarchs4Stars3LSommaire du Match
64 - 2020-11-29443Stars4Rampage3WSommaire du Match
65 - 2020-11-30454IceHogs3Stars5WSommaire du Match
66 - 2020-12-01463Stars3Wolves1WSommaire du Match
67 - 2020-12-02473Monsters3Stars2LSommaire du Match
68 - 2020-12-03485Stars1Monsters3LSommaire du Match
70 - 2020-12-05493Stars6Griffins2WSommaire du Match
71 - 2020-12-06503IceHogs3Stars1LSommaire du Match
72 - 2020-12-07514Stars4Marlies3WXXSommaire du Match
74 - 2020-12-09525Admirals1Stars2WSommaire du Match
75 - 2020-12-10539Stars2Penguins3LSommaire du Match
77 - 2020-12-12545Griffins1Stars2WSommaire du Match
79 - 2020-12-14561Wolves1Stars4WSommaire du Match
80 - 2020-12-15573Stars2Sound Tigers0WSommaire du Match
81 - 2020-12-16581Stars3Rocket5LSommaire du Match
83 - 2020-12-18595Sound Tigers4Stars2LSommaire du Match
85 - 2020-12-20605Stars4Monarchs3WXSommaire du Match
86 - 2020-12-21614Phantoms2Stars3WXSommaire du Match
87 - 2020-12-22628Sharks3Stars4WXXSommaire du Match
89 - 2020-12-24640Stars3Bruins5LSommaire du Match
91 - 2020-12-26650Stars6Rampage1WSommaire du Match
92 - 2020-12-27660Bruins2Stars0LSommaire du Match
94 - 2020-12-29672Wolf Pack1Stars2WSommaire du Match
95 - 2020-12-30686Crunch2Stars3WXXSommaire du Match
96 - 2020-12-31693Stars1IceHogs3LSommaire du Match
97 - 2021-01-01706Stars4Soldiers3WSommaire du Match
98 - 2021-01-02716Moose3Stars0LSommaire du Match
99 - 2021-01-03722Stars4Senators2WSommaire du Match
101 - 2021-01-05738Condors1Stars5WSommaire du Match
103 - 2021-01-07752Marlies2Stars3WSommaire du Match
104 - 2021-01-08766Stars2Flames1WXXSommaire du Match
105 - 2021-01-09774Flames3Stars1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10783Stars1Sharks3LSommaire du Match
108 - 2021-01-12796Stars3Phantoms5LSommaire du Match
109 - 2021-01-13806Stars4Condors1WSommaire du Match
110 - 2021-01-14811Soldiers2Stars1LSommaire du Match
112 - 2021-01-16828Stars2Crunch3LSommaire du Match
113 - 2021-01-17834Rocket3Stars0LSommaire du Match
115 - 2021-01-19846Stars2Moose5LSommaire du Match
116 - 2021-01-20853Stars0Admirals3LSommaire du Match
117 - 2021-01-21859IceHogs1Stars2WXXSommaire du Match
119 - 2021-01-23878Senators1Stars4WSommaire du Match
122 - 2021-01-26895IceHogs3Stars4WSommaire 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
2,700,020$ 1,836,543$ 1,792,126$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,460,105$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 24,891$ 24,891$




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