Walleye

GP: 4 | W: 4 | L: 0
GF: 15 | GA: 8 | PP%: 29.41% | PK%: 75.00%
DG: Jeff Picard | Morale : 50 | Moyenne d'Équipe : 65
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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
1Eric Fehr (A)X100.00633689847370775373485884568484050730
2Ryan Reaves (A)X100.00995170807271965452505862557884050730
3Ivan BarbashevX100.00723692865871875658516276595470050720
4Warren Foegele (R)X100.00873589856575935349456065575168050710
5Pontus AbergX100.00603491845971695849546259626069050690
6Derek DorsettX100.00726079855957335445466271588182050670
7Joel Ward (C)X100.00543393797262525252475665549987050670
8Jonny BrodzinskiX100.00803593826760345349455967576072050660
9Tommy WingelsX100.00713692836262585051455565547577052660
10Troy Terry (R)X100.00463495875769395247505469584861050640
11Nikita ScherbakX100.00543494856360284948425564535463050620
12Mikhail Vorobyev (R)X100.00463595846458254648415161504857050590
13Rasmus Andersson (R)X100.00623688826675955848625476535168046740
14Ben HarpurX100.00855880827868595148505277515471050720
15Anton LindholmX100.00673194845458424948485071505768050650
16Henri Jokiharju (R)X100.00623292855764465447585061504260050640
17Connor Clifton (R)X100.00583494864957254848465062505463050600
18Trevor Carrick (R)X100.00453595846260254848455055505761050590
Rayé
1Sam GagnerX100.00573591846071655858566060647275050690
2Taro Hirose (R)X100.00453295894572254948465163505160050600
3Nic PetanX100.00473395854960334850445156505460056590
4Max Veronneau (R)X100.00453495845958254748425259515460050590
5Riley Barber (R)X100.00453095836050254540405055505760050570
6Martin Necas (R)X100.00463495856256254647415155504253050570
7Alexandre Texier (R)X100.00463495855856254646405155504253050570
MOYENNE D'ÉQUIPE100.0061379184616448515047556554596705065
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
1Anthony Stolarz (R)100.0079298380747780797765585358050720
2Tristan Jarry100.0077327073797578777869574956046710
Rayé
1J-F Berube100.0068256269746768686965576558050640
2Mackenzie Skapski (R)100.0060257173626060606065555349050580
MOYENNE D'ÉQUIPE100.007128727472707271716657555504966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher78768285797777CAN4721,000,000$


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'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
1Ivan BarbashevWalleye (VGK)C40661007511360.00%48320.81044011000140042.55%9464001.4400000010
2Eric FehrWalleye (VGK)RW4415320682631015.38%28220.54000000000112158.82%1794001.2200000110
3Pontus AbergWalleye (VGK)RW40551402698140.00%27518.75033011000000062.50%8103001.3300000001
4Warren FoegeleWalleye (VGK)RW41343204316446.25%15413.68011260000000100.00%510001.4600000000
5Troy TerryWalleye (VGK)LW41344004414277.14%26315.790000000021200100.00%384001.2700000002
6Joel WardWalleye (VGK)LW41232203217375.88%27518.7710116000000080.00%522000.8000000000
7Rasmus AnderssonWalleye (VGK)D42133205571328.57%1010025.1920231300000100.00%019000.6000000010
8Ryan ReavesWalleye (VGK)LW4303140154183716.67%38220.68101211000031066.67%641010.7300000100
9Tommy WingelsWalleye (VGK)C41232204884712.50%27518.7901106000000049.38%8125000.8000000000
10Jonny BrodzinskiWalleye (VGK)C41124004684412.50%25714.2800000000060045.24%4211000.7000000000
11Ben HarpurWalleye (VGK)D4011140714110.00%47117.770000500000000.00%004000.2800000000
12Derek DorsettWalleye (VGK)RW4000-100766450.00%1389.700000000005000.00%032000.0000000000
13Connor CliftonWalleye (VGK)D4000200224210.00%27117.770000000009000.00%013000.0000000000
14Henri JokiharjuWalleye (VGK)D4000120235100.00%48220.5300005000013000.00%018000.0000000000
15Trevor CarrickWalleye (VGK)D4000200154110.00%27418.5500000000012000.00%003000.0000000000
16Nikita ScherbakWalleye (VGK)LW4000-100320040.00%1328.00000000000000100.00%111000.0000000000
17Mikhail VorobyevWalleye (VGK)C4000-100131010.00%0328.0000000000000063.64%1101000.0000000000
Stats d'équipe Total ou en Moyenne6814253927240777315844828.86%44115016.9249138790003814150.55%2735055010.6800000233
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
1Anthony StolarzWalleye (VGK)44000.9401.8525900813362000.000040100
Stats d'équipe Total ou en Moyenne44000.9401.8525900813362000.000040100


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
Alexandre TexierWalleye (VGK)C201999-01-01Yes187 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm750,000$0$0$No
Anthony StolarzWalleye (VGK)G251994-01-01Yes210 Lbs6 ft6NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Anton LindholmWalleye (VGK)D251994-01-01No191 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Ben HarpurWalleye (VGK)D241995-01-01No222 Lbs6 ft6NoNoNo4Avec RestrictionPro & Farm875,000$0$0$NoLien / Lien NHL
Connor CliftonWalleye (VGK)D241995-01-01Yes175 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Derek DorsettWalleye (VGK)RW331986-01-01No192 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien NHL
Eric FehrWalleye (VGK)RW341985-01-01No209 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm1,200,000$0$0$NoLien NHL
Henri JokiharjuWalleye (VGK)D201999-01-01Yes193 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm800,000$0$0$NoLien
Ivan BarbashevWalleye (VGK)C241995-01-01No187 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien NHL
J-F BerubeWalleye (VGK)G281991-01-01No177 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Joel WardWalleye (VGK)LW391980-01-01No225 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,300,000$0$0$NoLien NHL
Jonny BrodzinskiWalleye (VGK)C261993-01-01No208 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm600,000$0$0$NoLien NHL
Mackenzie SkapskiWalleye (VGK)G251994-01-01Yes191 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm550,000$0$0$No
Martin NecasWalleye (VGK)C201999-01-01Yes189 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm825,000$0$0$NoLien NHL
Max VeronneauWalleye (VGK)RW241995-01-01Yes190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm700,000$0$0$No
Mikhail VorobyevWalleye (VGK)C221997-01-01Yes194 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
Nic PetanWalleye (VGK)C241995-01-01No179 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien NHL
Nikita ScherbakWalleye (VGK)LW241995-01-01No192 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm850,000$0$0$NoLien NHL
Pontus AbergWalleye (VGK)RW261993-01-01No196 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien NHL
Rasmus AnderssonWalleye (VGK)D231996-01-01Yes214 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Riley BarberWalleye (VGK)RW251994-01-01Yes193 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Ryan ReavesWalleye (VGK)LW321987-01-01No225 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien NHL
Sam GagnerWalleye (VGK)C301989-01-01No200 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm600,000$0$0$NoLien NHL
Taro HiroseWalleye (VGK)LW231996-01-01Yes160 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm700,000$0$0$No
Tommy WingelsWalleye (VGK)C311988-01-01No200 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm1,500,000$0$0$NoLien NHL
Trevor CarrickWalleye (VGK)D251994-01-01Yes196 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien / Lien NHL
Tristan JarryWalleye (VGK)G241995-01-01No194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,250,000$0$0$NoLien NHL
Troy TerryWalleye (VGK)LW221997-01-01Yes178 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm1,000,000$0$0$NoLien NHL
Warren FoegeleWalleye (VGK)RW231996-01-01Yes198 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$NoLien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2925.69195 Lbs6 ft12.00813,793$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan ReavesIvan BarbashevPontus Aberg35122
2Joel WardTommy WingelsEric Fehr35122
3Troy TerryJonny BrodzinskiWarren Foegele25122
4Nikita ScherbakMikhail VorobyevDerek Dorsett5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anton LindholmRasmus Andersson40122
2Ben HarpurHenri Jokiharju30122
3Trevor CarrickConnor Clifton20122
4Trevor CarrickConnor Clifton10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan ReavesIvan BarbashevPontus Aberg60122
2Joel WardTommy WingelsWarren Foegele40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anton LindholmRasmus Andersson60122
2Ben HarpurHenri Jokiharju40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Eric FehrTroy Terry60122
2Jonny BrodzinskiDerek Dorsett40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Trevor CarrickHenri Jokiharju60122
2Anton LindholmConnor Clifton40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Eric Fehr60122Trevor CarrickHenri Jokiharju60122
2Jonny Brodzinski40122Anton LindholmConnor Clifton40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ivan BarbashevRyan Reaves60122
2Tommy WingelsJoel Ward40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anton LindholmRasmus Andersson60122
2Ben HarpurHenri Jokiharju40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ryan ReavesIvan BarbashevPontus AbergBen HarpurRasmus Andersson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joel WardJonny BrodzinskiEric FehrAnton LindholmRasmus Andersson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ivan Barbashev, Ryan Reaves, Warren FoegelePontus Aberg, Joel WardEric Fehr
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rasmus Andersson, Ben Harpur, Henri JokiharjuAnton LindholmConnor Clifton, Trevor Carrick
Tirs de Pénalité
Pontus Aberg, Ivan Barbashev, Derek Dorsett, Troy Terry, Warren Foegele
Gardien
#1 : Anthony Stolarz, #2 : Tristan Jarry


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
1Rivermen440000001587220000009632200000062481.000152641003561159415161613348327717529.41%16475.00%04810545.71%5910059.00%316845.59%945486387840
Total440000001587220000009632200000062481.000152641003561159415161613348327717529.41%16475.00%04810545.71%5910059.00%316845.59%945486387840
_Since Last GM Reset440000001587220000009632200000062481.000152641003561159415161613348327717529.41%16475.00%04810545.71%5910059.00%316845.59%945486387840
_Vs Conference440000001587220000009632200000062481.000152641003561159415161613348327717529.41%16475.00%04810545.71%5910059.00%316845.59%945486387840

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
48W415264115913348327700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4400000158
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
220000096
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000062
Derniers 10 Matchs
WLOTWOTL SOWSOL
400000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
17529.41%16475.00%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
41516163561
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
4810545.71%5910059.00%316845.59%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
945486387840


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 - 2020-01-097Rivermen3Walleye5WSommaire du Match
2 - 2020-01-1015Rivermen3Walleye4WXSommaire du Match
3 - 2020-01-1123Walleye3Rivermen1WSommaire du Match
4 - 2020-01-1231Walleye3Rivermen1WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets5530
Assistance2,5271,155
Assistance PCT63.18%57.75%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 1841 - 61.37% 99,840$199,680$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,360,000$ 2,310,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 2 0$ 0$




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
1944000000158722000000963220000006248152641003561159415161613348327717529.41%16475.00%04810545.71%5910059.00%316845.59%945486387840
Total Séries44000000158722000000963220000006248152641003561159415161613348327717529.41%16475.00%04810545.71%5910059.00%316845.59%945486387840