Wild

GP: 4 | W: 2 | L: 0 | OTL: 2 | P: 6
GF: 14 | GA: 9 | PP%: 13.04% | PK%: 85.71%
DG: Kevin Bourassa | Morale : 49 | Moyenne d'Équipe : 64
Prochain matchs #91 vs Stars
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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
1Steve BernierX100.007442746188928860545761625984745150640
2Phil VaroneX100.005736916472706663766665626177695250630
3Nicholas BaptisteX100.006536915778949356585554565567646550600
4Mackenzie MacEachernX100.007238866178726360545863605869666450600
5Nikita ScherbakX100.005937896179746259555758565567647850590
6Adam BrooksX100.005037896057928859625759525965636250590
7Vitaly Abramov (R)X100.005636926264857161555860546361638050590
8Zach RedmondX100.006937876283918761306260635179715450660
9Juuso Valimaki (R)X100.006539836383797162306458725661638450650
10Rinat ValievX100.007239825686918654305752584567646550630
11Victor MeteX100.005335946865798266307054655361637250630
12Ludwig BystromX100.005435935771949256305951544669657150610
Rayé
MOYENNE D'ÉQUIPE100.00623788617584796047605860556966675062
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
1Anders Nilsson100.00848482988382848382848377835550810
2Parker Milner100.00776462777675777675777677834450730
Rayé
MOYENNE D'ÉQUIPE100.0081747288807981807981807783505077
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard70696475706580CAN4551,000,000$


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
1Adam BrooksWild (Min)C4426400311181822.22%19924.85101117000060051.65%9100001.2100000021
2Mackenzie MacEachernWild (Min)LW4235300106153713.33%110025.24000016000040077.78%900000.9901000002
3Victor MeteWild (Min)D4055300184330.00%19924.7701131500004000.00%000001.0100000001
4Phil VaroneWild (Min)C423530014143514.29%39724.38011315000051064.15%10600001.0302000100
5Nicholas BaptisteWild (Min)RW412320012172414.29%08922.32000017000020050.00%800000.6700000000
6Steve BernierWild (Min)RW4033040215145120.00%110626.59011217000040056.25%1600000.5602000010
7Nikita ScherbakWild (Min)RW4022020338140.00%09523.98022114000000060.00%500000.4200000000
8Rinat ValievWild (Min)D41123204241525.00%09824.5510121600005000.00%000000.4100000000
9Juuso ValimakiWild (Min)D41120008340325.00%39924.9410141600006010.00%000000.4000000000
10Vitaly AbramovWild (Min)RW411230012105610.00%06115.2900027000000083.33%600000.6500000000
11Zach RedmondWild (Min)D4011060735210.00%111629.0300031600004000.00%000000.1700000000
12Gemel SmithMinnesota WildC1011100121110.00%11616.2200000000000054.55%1100001.2300000000
13Ludwig BystromWild (Min)D41010000340225.00%17117.900001500003000.00%000000.2800000000
Stats d'équipe Total ou en Moyenne49132538221407253108276112.04%13115123.50358221740000471159.13%25200000.6605000134
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
1Anders NilssonWild (Min)42020.9171.68250027840100.500640100
Stats d'équipe Total ou en Moyenne42020.9171.68250027840100.500640100


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
Adam BrooksWild (Min)C231996-05-06No180 Lbs5 ft1NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Anders NilssonWild (Min)G291990-03-19No232 Lbs6 ft6NoNoNo3Sans RestrictionPro & Farm3,000,000$0$0$NoLien
Juuso ValimakiWild (Min)D201998-10-06Yes212 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Ludwig BystromWild (Min)D241994-07-20No169 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Mackenzie MacEachernWild (Min)LW251994-03-09No190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Nicholas BaptisteWild (Min)RW231995-08-04No205 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Nikita ScherbakWild (Min)RW231995-12-30No192 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Parker MilnerWild (Min)G281990-09-06No196 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Phil VaroneWild (Min)C281990-12-04No193 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm1,000,000$0$0$NoLien
Rinat ValievWild (Min)D241995-05-11No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Steve BernierWild (Min)RW341985-03-31No222 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Victor MeteWild (Min)D211998-06-07No183 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Vitaly AbramovWild (Min)RW211998-05-08Yes171 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Zach RedmondWild (Min)D301988-07-26No212 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1425.21198 Lbs6 ft02.43757,143$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mackenzie MacEachernPhil VaroneSteve Bernier40122
2Nikita ScherbakAdam BrooksNicholas Baptiste30122
3Steve BernierNikita Scherbak20122
4Mackenzie MacEachernPhil VaroneVitaly Abramov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondJuuso Valimaki40122
2Victor MeteRinat Valiev30122
3Ludwig BystromZach Redmond20122
4Juuso ValimakiVictor Mete10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mackenzie MacEachernPhil VaroneSteve Bernier60122
2Nikita ScherbakAdam BrooksNicholas Baptiste40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondJuuso Valimaki60122
2Victor MeteRinat Valiev40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Steve BernierPhil Varone60122
2Mackenzie MacEachernNicholas Baptiste40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondJuuso Valimaki60122
2Victor MeteRinat Valiev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Steve Bernier60122Zach RedmondJuuso Valimaki60122
2Phil Varone40122Victor MeteRinat Valiev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Steve BernierPhil Varone60122
2Mackenzie MacEachernNicholas Baptiste40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Zach RedmondJuuso Valimaki60122
2Victor MeteRinat Valiev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mackenzie MacEachernPhil VaroneSteve BernierZach RedmondJuuso Valimaki
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mackenzie MacEachernPhil VaroneSteve BernierZach RedmondJuuso Valimaki
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vitaly Abramov, , Adam BrooksVitaly Abramov, Adam Brooks
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ludwig Bystrom, Rinat Valiev, Zach RedmondLudwig BystromRinat Valiev, Zach Redmond
Tirs de Pénalité
Steve Bernier, Phil Varone, Mackenzie MacEachern, Nicholas Baptiste, Nikita Scherbak
Gardien
#1 : Anders Nilsson, #2 : Parker Milner


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
1Moose2100000110552100000110550000000000030.750101828013830593232401035710367228.57%5180.00%07412559.20%459646.88%365862.07%1198780255028
2Stars210000014401000000134-11100000010130.750481201383050323240104964361616.25%20100.00%07412559.20%459646.88%365862.07%1198780255028
Total4200000214953100000213941100000010160.750142640023830109323240108413147223313.04%7185.71%07412559.20%459646.88%365862.07%1198780255028
_Since Last GM Reset4200000214953100000213941100000010160.750142640023830109323240108413147223313.04%7185.71%07412559.20%459646.88%365862.07%1198780255028
_Vs Conference210000014401000000134-11100000010130.750481201383050323240104964361616.25%20100.00%07412559.20%459646.88%365862.07%1198780255028

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
46W11426401098413147202
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4200002149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3100002139
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
110000010
Derniers 10 Matchs
WLOTWOTL SOWSOL
200002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
23313.04%7185.71%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
323240103830
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
7412559.20%459646.88%365862.07%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1198780255028


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 - 2019-09-046Moose5Wild4LXXSommaire du Match
5 - 2019-09-0625Moose0Wild6WSommaire du Match
10 - 2019-09-1139Stars4Wild3LXXSommaire du Match
17 - 2019-09-1878Wild1Stars0WSommaire du Match
18 - 2019-09-1991Wild-Stars-
24 - 2019-09-25114Eagles-Wild-
25 - 2019-09-26128Eagles-Wild-
31 - 2019-10-02142Wild-Griffins-
32 - 2019-10-03160Wild-IceHogs-
33 - 2019-10-04170IceHogs-Wild-
36 - 2019-10-07175Wild-IceHogs-
37 - 2019-10-08179Condors-Wild-
39 - 2019-10-10202Condors-Wild-
43 - 2019-10-14221Admirals-Wild-
45 - 2019-10-16232Admirals-Wild-
46 - 2019-10-17246Wild-Wolves-
50 - 2019-10-21261Wild-Admirals-
52 - 2019-10-23271Wild-Moose-
53 - 2019-10-24277Wild-Moose-
55 - 2019-10-26298Griffins-Wild-
59 - 2019-10-30315Wild-Eagles-
60 - 2019-10-31330Wild-Eagles-
64 - 2019-11-04346Wolves-Wild-
66 - 2019-11-06358Wolves-Wild-
67 - 2019-11-07372Griffins-Wild-
71 - 2019-11-11388Wild-Stars-
73 - 2019-11-13399Wild-Rampage-
75 - 2019-11-15418Wild-Rampage-
80 - 2019-11-20445Heat-Wild-
81 - 2019-11-21461Heat-Wild-
85 - 2019-11-25466IceHogs-Wild-
88 - 2019-11-28493Admirals-Wild-
90 - 2019-11-30505Wolves-Wild-
92 - 2019-12-02514Wild-Wolves-
94 - 2019-12-04527IceHogs-Wild-
96 - 2019-12-06550Wild-IceHogs-
99 - 2019-12-09556Wild-Rampage-
101 - 2019-12-11570Wild-Rampage-
102 - 2019-12-12583Wild-Stars-
104 - 2019-12-14593Gulls-Wild-
108 - 2019-12-18612Reign-Wild-
109 - 2019-12-19623Reign-Wild-
111 - 2019-12-21637IceHogs-Wild-
115 - 2019-12-25662Wild-Admirals-
116 - 2019-12-26676Wild-IceHogs-
122 - 2020-01-01694Wild-Condors-
123 - 2020-01-02710Wild-Gulls-
126 - 2020-01-05715Wild-Barracuda-
129 - 2020-01-08729Rampage-Wild-
130 - 2020-01-09743Rampage-Wild-
137 - 2020-01-16785Wild-IceHogs-
138 - 2020-01-17798Wild-Wolves-
140 - 2020-01-19807Stars-Wild-
142 - 2020-01-21815Barracuda-Wild-
143 - 2020-01-22826Barracuda-Wild-
147 - 2020-01-26849Wild-Barracuda-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29865Wild-Condors-
151 - 2020-01-30878Wild-Reign-
152 - 2020-01-31887Wild-Reign-
157 - 2020-02-05900Wild-Griffins-
158 - 2020-02-06918Wild-Wolves-
161 - 2020-02-09932Rampage-Wild-
164 - 2020-02-12952Rampage-Wild-
168 - 2020-02-16976Wild-Roadrunners-
169 - 2020-02-17983Wild-Roadrunners-
171 - 2020-02-19992Wild-Heat-
173 - 2020-02-211015Wild-Heat-
175 - 2020-02-231017Griffins-Wild-
178 - 2020-02-261034Stars-Wild-
179 - 2020-02-271046Stars-Wild-
182 - 2020-03-011062Roadrunners-Wild-
183 - 2020-03-021069Roadrunners-Wild-
186 - 2020-03-051091Wild-Admirals-
190 - 2020-03-091109Wild-Griffins-
192 - 2020-03-111123Wolves-Wild-
193 - 2020-03-121132IceHogs-Wild-



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
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
96,977$ 106,000$ 30,380$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 9,346$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 177 5,701$ 1,009,077$




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
14420000021495310000021394110000001016142640023830109323240108413147223313.04%7185.71%07412559.20%459646.88%365862.07%1198780255028
Total Saison Régulière420000021495310000021394110000001016142640023830109323240108413147223313.04%7185.71%07412559.20%459646.88%365862.07%1198780255028