Bears

GP: 63 | W: 15 | L: 41 | OTL: 7 | P: 37
GF: 227 | GA: 357 | PP%: 33.74% | PK%: 43.36%
DG: Louis Simard | Morale : 32 | Moyenne d'Équipe : 63
Prochain matchs #765 vs Devils
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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
1Julius HonkaX100.005842807965697276304652606452518323630
Rayé
MOYENNE D'ÉQUIPE100.00584280796569727630465260645251832363
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
Dallas Eakin83626681767073usa501400,000$


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
1Julius HonkaBears (WSH)D13122032-811531313557618.89%1735327.171011213132000431100.00%01323011.8100100300
Stats d'équipe Total ou en Moyenne13122032-811531313557618.89%1735327.171011213132000431100.00%01323011.8100100300
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 Link
Julius HonkaBears (WSH)D211995-12-03No186 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm863,333$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
121.00186 Lbs5 ft111.00863,333$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
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
1Admirals20200000310-71010000023-11010000017-600.0003690037821044424185225777592918246233.33%9722.22%041994544.34%432103641.70%590132544.53%134981714115761030487
2Barracuda301002001015-52000020079-21010000036-320.33310192900378210445541852257777826374113430.77%12558.33%041994544.34%432103641.70%590132544.53%134981714115761030487
3Blacknight1010000045-1000000000001010000045-100.0004610003782104424418522577721710122150.00%5340.00%041994544.34%432103641.70%590132544.53%134981714115761030487
4Condors2020000017-61010000016-51010000001-100.000123003782104447418522577755151223700.00%6183.33%041994544.34%432103641.70%590132544.53%134981714115761030487
5Crunch523000002228-6312000001217-5211000001011-140.4002241630037821044117418522577712334635624625.00%251252.00%141994544.34%432103641.70%590132544.53%134981714115761030487
6Devils404000001130-1930300000822-141010000038-500.000112132003782104410041852257772057046468225.00%231247.83%141994544.34%432103641.70%590132544.53%134981714115761030487
7Gulls2000200012102100010007611000100054141.00012233500378210445041852257775016122111327.27%6433.33%041994544.34%432103641.70%590132544.53%134981714115761030487
8Heat2020000068-21010000023-11010000045-100.000612180037821044584185225777309102510330.00%5420.00%041994544.34%432103641.70%590132544.53%134981714115761030487
9Icedogs20100100815-71010000028-61000010067-110.250815230037821044434185225777591726254250.00%13930.77%141994544.34%432103641.70%590132544.53%134981714115761030487
10Marlies30100200414-101010000008-82000020046-220.333481200378210448541852257778536214314214.29%8362.50%041994544.34%432103641.70%590132544.53%134981714115761030487
11Monsters641010003321122200000018994210100015123100.83333609300378210441474185225777126484474221359.09%22768.18%141994544.34%432103641.70%590132544.53%134981714115761030487
12Moose202000001017-71010000068-21010000049-500.0001020300037821044694185225777603018268225.00%990.00%041994544.34%432103641.70%590132544.53%134981714115761030487
13Penguins30300000717-102020000049-51010000038-500.0007132000378210447341852257779536402810330.00%15566.67%041994544.34%432103641.70%590132544.53%134981714115761030487
14Phantoms404000001225-1330300000917-81010000038-500.000122133003782104411141852257771376731458337.50%191615.79%141994544.34%432103641.70%590132544.53%134981714115761030487
15Rampages2020000037-41010000012-11010000025-300.0003690037821044534185225777661712189111.11%6350.00%041994544.34%432103641.70%590132544.53%134981714115761030487
16Reigh312000001415-11010000024-2211000001211120.33314274110378210445541852257777619364616425.00%18761.11%041994544.34%432103641.70%590132544.53%134981714115761030487
17Rocket11000000541110000005410000000000021.00051015003782104419418522577726612103266.67%6266.67%041994544.34%432103641.70%590132544.53%134981714115761030487
18Senateurs40400000934-2520200000316-1320200000618-1200.00091827003782104486418522577715262515318633.33%232013.04%141994544.34%432103641.70%590132544.53%134981714115761030487
19Sound Tigers523000002833-5220000001587303000001325-1240.40028568400378210441354185225777165865351291034.48%241729.17%041994544.34%432103641.70%590132544.53%134981714115761030487
20Stars20200000216-1410100000110-91010000016-500.0002460037821044294185225777881629293133.33%12925.00%041994544.34%432103641.70%590132544.53%134981714115761030487
21Thunderbird301002001419-51000010045-1201001001014-420.333142640003782104468418522577798332828141071.43%14657.14%041994544.34%432103641.70%590132544.53%134981714115761030487
Total63114104700227357-1303272101300113177-643142003400114180-66370.29422743165810378210441524418522577718986986217472468333.74%28616243.36%641994544.34%432103641.70%590132544.53%134981714115761030487
23Wolves21001000972110000004311000100054141.000917260037821044584185225777441912237342.86%6183.33%041994544.34%432103641.70%590132544.53%134981714115761030487
_Since Last GM Reset63114104700227357-1303272101300113177-643142003400114180-66370.29422743165810378210441524418522577718986986217472468333.74%28616243.36%641994544.34%432103641.70%590132544.53%134981714115761030487
_Vs Conference3892401400145225-80206130010078115-37183110130067110-43240.3161452744190037821044941418522577712124783894341505738.00%17910044.13%541994544.34%432103641.70%590132544.53%134981714115761030487
_Vs Division226150100091126-351248000005465-111027010003761-24140.3189117126200378210445664185225777728307214244773140.26%1035744.66%341994544.34%432103641.70%590132544.53%134981714115761030487

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6337OTW12274316581524189869862174710
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6311414700227357
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
327211300113177
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
314203400114180
Derniers 10 Matchs
WLOTWOTL SOWSOL
242200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2468333.74%28616243.36%6
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
418522577737821044
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
41994544.34%432103641.70%590132544.53%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
134981714115761030487


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
3 - 2018-10-1112Sound Tigers3Bears8WSommaire du Match
4 - 2018-10-1214Bears2Monsters4LSommaire du Match
11 - 2018-10-1936Phantoms6Bears4LSommaire du Match
14 - 2018-10-2247Bears4Monsters3WSommaire du Match
18 - 2018-10-2659Crunch7Bears5LSommaire du Match
20 - 2018-10-2873Bears4Sound Tigers8LSommaire du Match
21 - 2018-10-2977Bears3Devils8LSommaire du Match
24 - 2018-11-0187Penguins4Bears2LSommaire du Match
27 - 2018-11-04106Marlies8Bears0LSommaire du Match
29 - 2018-11-06118Bears3Phantoms8LSommaire du Match
31 - 2018-11-08129Monsters5Bears11WSommaire du Match
33 - 2018-11-10137Bears3Penguins8LSommaire du Match
35 - 2018-11-12147Bears6Thunderbird7LXSommaire du Match
37 - 2018-11-14159Devils8Bears2LSommaire du Match
42 - 2018-11-19180Barracuda3Bears2LXSommaire du Match
47 - 2018-11-24193Bears3Sound Tigers9LSommaire du Match
49 - 2018-11-26203Stars10Bears1LSommaire du Match
51 - 2018-11-28213Bears2Rampages5LSommaire du Match
54 - 2018-12-01223Condors6Bears1LSommaire du Match
59 - 2018-12-06239Bears0Condors1LSommaire du Match
61 - 2018-12-08249Bears1Stars6LSommaire du Match
63 - 2018-12-10256Crunch6Bears1LSommaire du Match
65 - 2018-12-12260Bears3Marlies4LXSommaire du Match
68 - 2018-12-15275Phantoms4Bears1LSommaire du Match
73 - 2018-12-20299Heat3Bears2LSommaire du Match
75 - 2018-12-22308Bears3Barracuda6LSommaire du Match
77 - 2018-12-24315Bears3Senateurs7LSommaire du Match
79 - 2018-12-26326Rocket4Bears5WSommaire du Match
81 - 2018-12-28335Bears4Crunch3WSommaire du Match
84 - 2018-12-31350Penguins5Bears2LSommaire du Match
87 - 2019-01-03362Bears4Thunderbird7LSommaire du Match
89 - 2019-01-05372Bears4Reigh5LSommaire du Match
90 - 2019-01-06378Rampages2Bears1LSommaire du Match
93 - 2019-01-09391Bears5Monsters2WSommaire du Match
95 - 2019-01-11399Reigh4Bears2LSommaire du Match
97 - 2019-01-13409Bears6Crunch8LSommaire du Match
99 - 2019-01-15416Bears1Admirals7LSommaire du Match
101 - 2019-01-17426Phantoms7Bears4LSommaire du Match
106 - 2019-01-22444Bears4Moose9LSommaire du Match
108 - 2019-01-24453Admirals3Bears2LSommaire du Match
110 - 2019-01-26462Bears1Marlies2LXSommaire du Match
112 - 2019-01-28474Devils6Bears1LSommaire du Match
119 - 2019-02-04499Crunch4Bears6WSommaire du Match
121 - 2019-02-06508Bears6Sound Tigers8LSommaire du Match
124 - 2019-02-09519Sound Tigers5Bears7WSommaire du Match
126 - 2019-02-11523Bears5Wolves4WXSommaire du Match
129 - 2019-02-14536Bears5Gulls4WXSommaire du Match
131 - 2019-02-16547Bears6Icedogs7LXSommaire du Match
132 - 2019-02-17551Senateurs7Bears2LSommaire du Match
136 - 2019-02-21571Devils8Bears5LSommaire du Match
141 - 2019-02-26592Wolves3Bears4WSommaire du Match
145 - 2019-03-02609Bears3Senateurs11LSommaire du Match
147 - 2019-03-04617Senateurs9Bears1LSommaire du Match
149 - 2019-03-06628Bears4Heat5LSommaire du Match
151 - 2019-03-08642Icedogs8Bears2LSommaire du Match
153 - 2019-03-10652Bears4Monsters3WXSommaire du Match
155 - 2019-03-12664Monsters4Bears7WSommaire du Match
156 - 2019-03-13668Bears4Blacknight5LSommaire du Match
162 - 2019-03-19689Barracuda6Bears5LXSommaire du Match
164 - 2019-03-21704Bears8Reigh6WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24715Moose8Bears6LSommaire du Match
171 - 2019-03-28734Thunderbird5Bears4LXSommaire du Match
178 - 2019-04-04753Gulls6Bears7WXSommaire du Match
181 - 2019-04-07765Bears-Devils-
184 - 2019-04-10777Bruins-Bears-
187 - 2019-04-13791Bears-Devils-
189 - 2019-04-15800Rocket-Bears-
195 - 2019-04-21822Penguins-Bears-
201 - 2019-04-27844Monsters-Bears-
206 - 2019-05-02867Bruins-Bears-
209 - 2019-05-05881Bears-Penguins-
212 - 2019-05-08890Marlies-Bears-
214 - 2019-05-10900Bears-Penguins-
217 - 2019-05-13913Sound Tigers-Bears-
219 - 2019-05-15923Bears-Bruins-
222 - 2019-05-18938Blacknight-Bears-
224 - 2019-05-20944Bears-Rocket-
229 - 2019-05-25958Bears-Phantoms-
231 - 2019-05-27962Thunderbird-Bears-
232 - 2019-05-28964Bears-Rocket-
234 - 2019-05-30977Bears-Bruins-
236 - 2019-06-01984Bears-Phantoms-



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
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
368,996$ 86,333$ 86,333$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 65,156$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 2,052$ 116,964$




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
263114104700227357-1303272101300113177-643142003400114180-663722743165810378210441524418522577718986986217472468333.74%28616243.36%641994544.34%432103641.70%590132544.53%134981714115761030487
Total Saison Régulière63114104700227357-1303272101300113177-643142003400114180-663722743165810378210441524418522577718986986217472468333.74%28616243.36%641994544.34%432103641.70%590132544.53%134981714115761030487