Wolves

GP: 29 | W: 7 | L: 20 | OTL: 2 | P: 16
GF: 107 | GA: 180 | PP%: 16.67% | PK%: 48.36%
DG: Martin Raby | Morale : 40 | Moyenne d'Équipe : 67
Prochain matchs #359 vs Rampages
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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 SP
1Austin WatsonX100.008448607281799577714765747458567957690
2Jordan MartinookX100.007343767972829665675956686859556647670
3Pierre-Edouard BellemareX100.006041827171798865845257766762582648670
4Miikka SalomakiX100.008043767770757770655053646555556944640
5Matt GrzelcykX100.006143828157739075305454716452516247670
6Slater KoekkoekX100.006641806973716273305059767353548457670
Rayé
MOYENNE D'ÉQUIPE100.00714376757177857158525772695755645067
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner77828384756076CAN4721,200,000$


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'ÉquipePOS GP 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
1Pierre-Edouard BellemareWolves (STL)LW29161531-71351619146469210.96%1550517.4201114000032263.64%443018011.2311001323
2Miikka SalomakiWolves (STL)RW2931518-1229521712043732.50%839413.6100003000000066.67%242715000.9100010141
3Matt GrzelcykWolves (STL)D2911314-2606277044371.43%1742914.810001300022000.00%0920000.6500000123
4Jordan MartinookWolves (STL)LW2911112-81401768732621.15%82889.9500000000030066.67%152512000.8301000225
Stats d'équipe Total ou en Moyenne116215475-29621060594231652644.96%48161813.95011211000282265.06%839165010.931201171012
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Austin WatsonWolves (STL)LW251992-01-13No204 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm1,100,000$0$0$No1,100,000$Lien
Jordan MartinookWolves (STL)LW251992-07-25No204 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm1,800,000$0$0$NoLien
Matt GrzelcykWolves (STL)D231994-01-05No174 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm1,400,000$0$0$No1,400,000$Lien
Miikka SalomakiWolves (STL)RW241993-03-09No203 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$No750,000$Lien
Pierre-Edouard BellemareWolves (STL)LW321985-03-06No198 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm1,450,000$0$0$NoLien
Slater KoekkoekWolves (STL)D231994-02-18No193 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm865,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
625.33196 Lbs6 ft01.501,227,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Pierre-Edouard BellemareMiikka Salomaki30122
3Jordan Martinook20122
4Pierre-Edouard Bellemare10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Matt Grzelcyk30122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Pierre-Edouard BellemareMiikka Salomaki40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Matt Grzelcyk40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Pierre-Edouard BellemareJordan Martinook40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Matt Grzelcyk40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
240122Matt Grzelcyk40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Pierre-Edouard BellemareJordan Martinook40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Matt Grzelcyk40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Miikka Salomaki, Jordan Martinook, Pierre-Edouard BellemareMiikka Salomaki, Jordan MartinookPierre-Edouard Bellemare
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Grzelcyk, , Matt Grzelcyk,
Tirs de Pénalité
, , Pierre-Edouard Bellemare, Jordan Martinook, Miikka Salomaki
Gardien
#1 : , #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
1Admirals30300000921-121010000038-520200000613-700.0009152410193850193277295323812532373820420.00%11827.27%026054148.06%21146345.57%25860942.36%645407637257463218
2Barracuda11000000642110000006420000000000021.000610160019385013327729532382011494125.00%2150.00%026054148.06%21146345.57%25860942.36%645407637257463218
3Blacknight210001001010000000000000210001001010030.750101828001938501622772953238481482210330.00%4250.00%026054148.06%21146345.57%25860942.36%645407637257463218
4Crunch1010000034-11010000034-10000000000000.0003690019385012927729532381838102150.00%40100.00%026054148.06%21146345.57%25860942.36%645407637257463218
5Devils1010000028-61010000028-60000000000000.0002460019385013027729532384721146500.00%7528.57%026054148.06%21146345.57%25860942.36%645407637257463218
6Heat1010000014-31010000014-30000000000000.000123001938501422772953238236420300.00%2150.00%026054148.06%21146345.57%25860942.36%645407637257463218
7Icedogs302000011317-41000000167-120200000710-310.1671325380019385019327729532389026224010110.00%11463.64%126054148.06%21146345.57%25860942.36%645407637257463218
8Moose431000002124-3220000001073211000001117-660.750213960001938501146277295323814353384512216.67%19763.16%026054148.06%21146345.57%25860942.36%645407637257463218
9Phantoms10100000710-310100000710-30000000000000.0007132000193850132277295323856201610200.00%880.00%026054148.06%21146345.57%25860942.36%645407637257463218
10Rampages30300000623-171010000016-520200000517-1200.000611170019385017727729532381204348381119.09%241345.83%026054148.06%21146345.57%25860942.36%645407637257463218
11Reigh31200000912-3211000006511010000037-420.33391625001938501962772953238932722441119.09%11372.73%026054148.06%21146345.57%25860942.36%645407637257463218
12Rocket1010000035-21010000035-20000000000000.000369001938501222772953238247694125.00%3166.67%026054148.06%21146345.57%25860942.36%645407637257463218
13Senateurs1010000049-51010000049-50000000000000.0004711001938501222772953238311414135360.00%7442.86%026054148.06%21146345.57%25860942.36%645407637257463218
14Sound Tigers11000000761000000000001100000076121.000711180019385012927729532382894134125.00%220.00%126054148.06%21146345.57%25860942.36%645407637257463218
15Stars30300000623-171010000028-620200000415-1100.000611170019385019327729532381415319391100.00%7442.86%026054148.06%21146345.57%25860942.36%645407637257463218
Total2972000101107180-7315410000015485-3114310001005395-42160.276107194301101938501899277295323810073392643561141916.67%1226348.36%226054148.06%21146345.57%25860942.36%645407637257463218
_Since Last GM Reset2972000101107180-7315410000015485-3114310001005395-42160.276107194301101938501899277295323810073392643561141916.67%1226348.36%226054148.06%21146345.57%25860942.36%645407637257463218
_Vs Conference236150010181138-571045000013549-1413210001004689-43140.304811472281019385017352772953238803265202295921314.13%914352.75%126054148.06%21146345.57%25860942.36%645407637257463218
_Vs Division163120000155108-53623000012236-141019000003372-3970.21955101156101938501502277295323861920716420064812.50%723650.00%126054148.06%21146345.57%25860942.36%645407637257463218

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2916W1107194301899100733926435610
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
297200101107180
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1541000015485
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1431001005395
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1141916.67%1226348.36%2
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
27729532381938501
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
26054148.06%21146345.57%25860942.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
645407637257463218


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 - 2018-10-107Wolves2Stars8LSommaire du Match
4 - 2018-10-1215Wolves8Moose7WSommaire du Match
6 - 2018-10-1423Moose4Wolves5WSommaire du Match
13 - 2018-10-2143Stars8Wolves2LSommaire du Match
17 - 2018-10-2554Rampages6Wolves1LSommaire du Match
20 - 2018-10-2871Wolves3Moose10LSommaire du Match
22 - 2018-10-3082Admirals8Wolves3LSommaire du Match
24 - 2018-11-0192Wolves3Blacknight4LXSommaire du Match
26 - 2018-11-03101Barracuda4Wolves6WSommaire du Match
28 - 2018-11-05108Wolves2Admirals7LSommaire du Match
30 - 2018-11-07119Wolves2Rampages10LSommaire du Match
31 - 2018-11-08125Wolves2Icedogs4LSommaire du Match
33 - 2018-11-10140Moose3Wolves5WSommaire du Match
36 - 2018-11-13149Wolves5Icedogs6LSommaire du Match
39 - 2018-11-16164Icedogs7Wolves6LXXSommaire du Match
43 - 2018-11-20182Phantoms10Wolves7LSommaire du Match
45 - 2018-11-22189Wolves3Rampages7LSommaire du Match
47 - 2018-11-24196Wolves3Reigh7LSommaire du Match
50 - 2018-11-27208Wolves4Admirals6LSommaire du Match
52 - 2018-11-29215Devils8Wolves2LSommaire du Match
57 - 2018-12-04234Rocket5Wolves3LSommaire du Match
62 - 2018-12-09253Senateurs9Wolves4LSommaire du Match
66 - 2018-12-13263Wolves7Blacknight6WSommaire du Match
69 - 2018-12-16277Crunch4Wolves3LSommaire du Match
73 - 2018-12-20298Wolves2Stars7LSommaire du Match
74 - 2018-12-21304Reigh4Wolves2LSommaire du Match
78 - 2018-12-25321Wolves7Sound Tigers6WSommaire du Match
80 - 2018-12-27328Heat4Wolves1LSommaire du Match
84 - 2018-12-31349Reigh1Wolves4WSommaire du Match
86 - 2019-01-02359Wolves-Rampages-
88 - 2019-01-04370Wolves-Stars-
89 - 2019-01-05374Moose-Wolves-
94 - 2019-01-10397Blacknight-Wolves-
98 - 2019-01-14411Wolves-Marlies-
100 - 2019-01-16421Marlies-Wolves-
103 - 2019-01-19431Wolves-Phantoms-
106 - 2019-01-22442Gulls-Wolves-
108 - 2019-01-24455Wolves-Rocket-
110 - 2019-01-26463Wolves-Admirals-
112 - 2019-01-28472Icedogs-Wolves-
116 - 2019-02-01490Wolves-Reigh-
118 - 2019-02-03496Phantoms-Wolves-
120 - 2019-02-05506Wolves-Thunderbird-
124 - 2019-02-09517Wolves-Condors-
126 - 2019-02-11523Bears-Wolves-
129 - 2019-02-14535Wolves-Monsters-
131 - 2019-02-16545Gulls-Wolves-
134 - 2019-02-19565Wolves-Condors-
135 - 2019-02-20570Icedogs-Wolves-
138 - 2019-02-23584Wolves-Bruins-
141 - 2019-02-26592Wolves-Bears-
142 - 2019-02-27598Rampages-Wolves-
145 - 2019-03-02611Wolves-Barracuda-
147 - 2019-03-04619Thunderbird-Wolves-
149 - 2019-03-06633Wolves-Barracuda-
151 - 2019-03-08645Admirals-Wolves-
152 - 2019-03-09649Wolves-Crunch-
155 - 2019-03-12661Wolves-Gulls-
156 - 2019-03-13671Sound Tigers-Wolves-
162 - 2019-03-19692Wolves-Penguins-
163 - 2019-03-20695Stars-Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25717Wolves-Icedogs-
169 - 2019-03-26723Barracuda-Wolves-
174 - 2019-03-31741Blacknight-Wolves-
178 - 2019-04-04754Wolves-Moose-
180 - 2019-04-06760Wolves-Senateurs-
182 - 2019-04-08767Monsters-Wolves-
184 - 2019-04-10776Wolves-Moose-
186 - 2019-04-12785Wolves-Phantoms-
187 - 2019-04-13792Penguins-Wolves-
192 - 2019-04-18809Wolves-Gulls-
193 - 2019-04-19816Bruins-Wolves-
200 - 2019-04-26840Stars-Wolves-
206 - 2019-05-02864Condors-Wolves-
210 - 2019-05-06883Condors-Wolves-
213 - 2019-05-09894Wolves-Heat-
216 - 2019-05-12909Admirals-Wolves-
219 - 2019-05-15924Rampages-Wolves-
221 - 2019-05-17933Wolves-Devils-
224 - 2019-05-20942Wolves-Heat-
229 - 2019-05-25959Moose-Wolves-
234 - 2019-05-30975Heat-Wolves-



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
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
686,364$ 736,500$ 736,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 261,072$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 8,171$ 1,250,163$




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
22972000101107180-7315410000015485-3114310001005395-4216107194301101938501899277295323810073392643561141916.67%1226348.36%226054148.06%21146345.57%25860942.36%645407637257463218
Total Saison Régulière2972000101107180-7315410000015485-3114310001005395-4216107194301101938501899277295323810073392643561141916.67%1226348.36%226054148.06%21146345.57%25860942.36%645407637257463218