Senators

GP: 6 | W: 3 | L: 2 | OTL: 1 | P: 7
GF: 12 | GA: 11 | PP%: 10.26% | PK%: 90.48%
DG: Marc-André Bilodeau Lamontagne | Morale : 49 | Moyenne d'Équipe : 61
Prochain matchs #113 vs Bears
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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
1Adam CracknellX100.007036915985786658625958605484743951610
2A.J. GreerX100.006540806185766860615960615565637551610
3Matt ReadXX100.005636905968827058545759625682733951600
4Justin BaileyX100.006536905989766858555756605467646951600
5Boris Katchouk (R)X100.006538845880949556525354575561637751600
6Glenn Gawdin (R)X100.006139825976928958666054575663626351600
7Gabriel FontaineX100.006436925678949354585553565263626351590
8Joakim RyanX100.006443886369735762307056675271664752630
9Taylor FedunX100.005437896278756961306657665579714451630
10Cody GoloubefX100.006439836077796659305754594678706151610
11Dakota MermisX100.005536905973817058305753574669755151600
12Jordan SchmaltzX100.005836915978766458306153594771667751600
13Andreas EnglundX100.005940795881847157305453594565637552600
14Tim ErixonX100.006538865480797353305452554875686751600
15Kyle CumiskeyX100.005336915868827657306051544682735251600
Rayé
1Carsen Twarynski (R)X100.006538855680939155585453565463626344590
2Vladislav KamenevX100.006138855779645057735758625865637444580
3Brad Morrison (R)X100.005336925669898355615453575263626344580
4Max McCormickX100.006539825970746658545257565473675044580
5Kole Lind (R)X100.005736905673908455595552545361636444580
6Logan O'ConnorX100.005336925869777156545857595465635344580
7Grayson DowningX100.006242735473756953565451525073675844560
8Matt TaorminaX100.005437895568807454305552534682735244580
MOYENNE D'ÉQUIPE100.00603887587681735748575558527067604960
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
1Pheonix Copley100.00797876867877797877797873774246760
2Chris Driedger100.00777573877675777675777669735151740
Rayé
1Evan Fitzpatrick (R)100.00706664856968706968706961657044680
MOYENNE D'ÉQUIPE100.0075737186747375747375746872544773
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx71727574797473CAN5151,000,000$


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
1Glenn GawdinSenators (Ott)C632516034135723.08%29415.7920259000021046.94%4900001.0600000001
2Cody GoloubefSenators (Ott)D613401006983912.50%411719.52123630000012000.00%000000.6800000001
3Matt ReadSenators (Ott)C/RW6303-1203171651418.75%314424.14101328000061050.00%10400010.4100000100
4Jordan SchmaltzSenators (Ott)D6033000327460.00%412120.17011530000017000.00%000000.5000000100
5Justin BaileySenators (Ott)RW612310012711299.09%014524.210112280000110038.30%4700000.4100000002
6Adam CracknellSenators (Ott)RW6112-2208414287.14%215225.440117290000160050.00%5400000.2600000010
7A.J. GreerSenators (Ott)LW611210072145127.14%615225.490000250000171020.00%1000000.2600000010
8Gabriel FontaineSenators (Ott)C6202040914111818.18%114924.980003320000100044.88%12700000.2700000010
9Joakim RyanSenators (Ott)D6022275555240.00%212821.43000429000017000.00%000000.3100001000
10Taylor FedunSenators (Ott)D6022220466050.00%1013322.21000430000017000.00%000000.3000000000
11Boris KatchoukSenators (Ott)LW6022020165103110.00%014424.03011430000060036.36%1100000.2800000010
12Tim ErixonSenators (Ott)D6022-580114020.00%46911.66011130000200100.00%100000.5700000000
13Dakota MermisSenators (Ott)D6011020132020.00%58113.5100001000060050.00%200000.2500000000
14Andreas EnglundSenators (Ott)D6000095561220.00%68013.350000400000000.00%100000.0000001000
15Kyle CumiskeySenators (Ott)D6000-200011000.00%3416.91000000000000100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne90122133-35410838612334999.76%52175619.5247114431300001463045.70%40700010.3800002244
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
1Pheonix CopleySenators (Ott)63210.9081.8934901111190000.000060100
2Chris DriedgerSenators (Ott)10001.0000.001000030000.000006000
Stats d'équipe Total ou en Moyenne73210.9101.8336001111220000.000066100


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
A.J. GreerSenators (Ott)LW221996-12-14No210 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Adam CracknellSenators (Ott)RW331985-07-15No209 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Andreas EnglundSenators (Ott)D231996-01-21No189 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Boris KatchoukSenators (Ott)LW211998-06-18Yes199 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Brad MorrisonSenators (Ott)C221997-01-04Yes171 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Carsen TwarynskiSenators (Ott)LW211997-11-24Yes198 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Chris DriedgerSenators (Ott)G251994-05-18No205 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Cody GoloubefSenators (Ott)D291989-11-30No200 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Dakota MermisSenators (Ott)D251994-01-05No195 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Evan FitzpatrickSenators (Ott)G211998-01-28Yes206 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm0$0$NoLien
Gabriel FontaineSenators (Ott)C221997-04-30No201 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Glenn GawdinSenators (Ott)C221997-03-25Yes191 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Grayson DowningSenators (Ott)C271992-04-18No195 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Joakim RyanSenators (Ott)D261993-06-17No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Jordan SchmaltzSenators (Ott)D251993-10-08No190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Justin BaileySenators (Ott)RW241995-07-01No214 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Kole LindSenators (Ott)RW201998-10-16Yes178 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Kyle CumiskeySenators (Ott)D321986-12-02No180 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Logan O'ConnorSenators (Ott)RW221996-08-14No175 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Matt ReadSenators (Ott)C/RW331986-06-14No188 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm2,150,000$0$0$NoLien
Matt TaorminaSenators (Ott)D321986-10-20No189 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Max McCormickSenators (Ott)LW271992-05-01No188 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Pheonix CopleySenators (Ott)G271992-01-18No200 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Taylor FedunSenators (Ott)D311988-06-04No201 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Tim ErixonSenators (Ott)D281991-02-24No200 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Vladislav KamenevSenators (Ott)C221996-08-12No194 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2625.46194 Lbs6 ft12.15486,538$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1A.J. GreerGabriel FontaineAdam Cracknell40122
2Boris KatchoukMatt ReadJustin Bailey30122
3Adam CracknellGlenn GawdinA.J. Greer20122
4Gabriel FontaineJustin BaileyMatt Read10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor FedunJoakim Ryan40122
2Cody GoloubefJordan Schmaltz30122
3Andreas EnglundDakota Mermis20122
4Tim ErixonKyle Cumiskey10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1A.J. GreerGabriel FontaineAdam Cracknell60122
2Boris KatchoukMatt ReadJustin Bailey40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor FedunJoakim Ryan60122
2Cody GoloubefJordan Schmaltz40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Adam CracknellA.J. Greer60122
2Justin BaileyGabriel Fontaine40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor FedunJoakim Ryan60122
2Cody GoloubefJordan Schmaltz40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Adam Cracknell60122Taylor FedunJoakim Ryan60122
2A.J. Greer40122Cody GoloubefJordan Schmaltz40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Adam CracknellA.J. Greer60122
2Justin BaileyGabriel Fontaine40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor FedunJoakim Ryan60122
2Cody GoloubefJordan Schmaltz40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
A.J. GreerGabriel FontaineAdam CracknellTaylor FedunJoakim Ryan
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
A.J. GreerGabriel FontaineAdam CracknellTaylor FedunJoakim Ryan
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Glenn Gawdin, Boris Katchouk, Matt ReadGlenn Gawdin, Boris KatchoukMatt Read
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andreas Englund, Dakota Mermis, Tim ErixonAndreas EnglundDakota Mermis, Tim Erixon
Tirs de Pénalité
Adam Cracknell, A.J. Greer, Justin Bailey, Gabriel Fontaine, Matt Read
Gardien
#1 : Pheonix Copley, #2 : Chris Driedger


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
1Barracuda1000010012-11000010012-10000000000010.500123005520953422801411013500.00%000.00%07615848.10%8017047.06%307937.97%14296141457739
2Bears11000000312110000003120000000000021.00036900552028534228019812166116.67%60100.00%07615848.10%8017047.06%307937.97%14296141457739
3Crunch2110000056-1110000004221010000014-320.50058130055203953422804716252411218.18%9277.78%07615848.10%8017047.06%307937.97%14296141457739
4Penguins21100000321110000002021010000012-120.500358015520475342280421717301715.88%60100.00%07615848.10%8017047.06%307937.97%14296141457739
Total63200100121114300010010552020000026-470.583122133015520123534228012252548339410.26%21290.48%07615848.10%8017047.06%307937.97%14296141457739
_Since Last GM Reset63200100121114300010010552020000026-470.583122133015520123534228012252548339410.26%21290.48%07615848.10%8017047.06%307937.97%14296141457739
_Vs Conference63200100121114300010010552020000026-470.583122133015520123534228012252548339410.26%21290.48%07615848.10%8017047.06%307937.97%14296141457739
_Vs Division33200000633230000005141020000012-161.00061117015520755342280612529462328.70%120100.00%07615848.10%8017047.06%307937.97%14296141457739

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
67W112213312312252548301
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
63201001211
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4300100105
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000026
Derniers 10 Matchs
WLOTWOTL SOWSOL
320100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
39410.26%21290.48%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
53422805520
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
7615848.10%8017047.06%307937.97%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
14296141457739


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 - 2019-09-024Barracuda2Senators1LXSommaire du Match
2 - 2019-09-0316Senators1Crunch4LSommaire du Match
5 - 2019-09-0638Crunch2Senators4WSommaire du Match
8 - 2019-09-0964Bears1Senators3WSommaire du Match
10 - 2019-09-1181Senators1Penguins2LSommaire du Match
12 - 2019-09-1395Penguins0Senators2WSommaire du Match
14 - 2019-09-15113Senators-Bears-
16 - 2019-09-17128Gulls-Senators-
17 - 2019-09-18138Senators-Crunch-
18 - 2019-09-19145Senators-Gulls-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 126,500$ 64,020$ 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$ 9 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