Sabres

GP: 82 | W: 41 | L: 32 | OTL: 9 | P: 91
GF: 226 | GA: 222 | PP%: 15.69% | PK%: 78.13%
DG: Robert Ostiguy | Morale : 47 | Moyenne d'Équipe : 66
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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
1Quinton Howden (R)X100.009957556875637495618893847775776460770
2Josh Leivo (R)X100.006244706879818967678275726267555858690
3Taylor Beck (R)X100.005943686677596486587275626781764654680
4Tim Schaller (R)X100.008049696878759667716566765672583472680
5Jujhar Khaira (R)X100.007950686789807371786969726456526541670
6Evan Rodrigues (R)X100.006041767169848770826966726756524268670
7Alexander Khokhlachev (R)X100.004750856671557971687167656271696970650
8Eric Tangradi (R)X100.006635636892545372526261615180715951630
9Mario Kempe (R)X100.007435736872737565696363665367534567630
10Peter Cehlarik (R)X100.005535726981586069506265616364526267620
11Dominic Toninato (R)X100.005535646980615157697062635452525633600
12Jordan Kyrou (R)X100.005035726969565868716464655351507657600
13Fredrik Claesson (R)X100.009150746575828389307068725466605462710
14Mikhail Sergachev (R)X100.007035757086818869307777696356528670690
15Mirco Mueller (R)X100.007241786585816665306861786375528138680
16Matt Benning (R)X100.007441756678768371306769706470584566670
17Brett Kulak (R)X100.007141756778748967316770656068565934660
18Travis Dermott (R)X100.007435776675807766306863656454517752650
Rayé
1C.J. Smith (R)X100.005035696969535569506667675851504220610
2Nic Petan (R)X100.005135736970636467646458635466547219600
3Tyrell Goulbourne (R)X100.005135436371505163505656565050506320550
4Brendan Guhle (R)X100.005635676880596368306058635151507220600
5Lawrence Pilut (R)X100.005635746768666667306158615951504320590
6Jakub Zboril (R)X100.005135656474505164305353535150508520540
MOYENNE D'ÉQUIPE100.00654070677767717051676667596356614764
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
1Anton Forsberg (R)100.00798182777889898989775380694467800
2Cal Petersen (R)100.00757797747479807979745169635567750
Rayé
1Tom McCollum (R)100.00655971817176768482707482795420730
MOYENNE D'ÉQUIPE100.0073728377748182848374597770515176
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Hartsburg72756974997571CAN601500,000$


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
1Taylor BeckSabres (BUF)RW82304575977251451313331002009.01%27144517.6341822372450001550427.78%905425001.0424104824
2Quinton HowdenSabres (BUF)LW79284573-719450227191350882208.00%59164320.80917266331110161883341.83%4596624000.89516235315
3Josh LeivoSabres (BUF)RW81243357-692201861422136213311.27%41160919.871112233532110151274244.44%1443227000.71614003146
4Evan RodriguesSabres (BUF)C82233053182351061812075311011.11%23123115.02751218146000096351.54%10732617000.8601001055
5Radek FaksaSabresC64172946-1315145154192631098.85%32143522.435131836258112132044052.20%14982322000.64411100450
6Tim SchallerSabres (BUF)LW822125461577252061341644311212.80%35148318.0971017202510004653253.75%802224010.6217212141
7Jujhar KhairaSabres (BUF)C721425393912516617514845839.46%39124117.2531114191850000561048.78%13102218000.6333032243
8Fredrik ClaessonSabres (BUF)D8111273811872520318015660727.05%108197624.4061117393610114261200.00%04260000.3800104213
9Alexander KhokhlachevSabres (BUF)RW82211031811556841905414011.05%1798311.99101223000004059.65%57409000.6300100415
10Dimitri KalininSabresD74418221300518010541373.81%101187925.39459163290002267110.00%01450000.2300000010
11Mario KempeSabres (BUF)LW8221416024018510311133661.80%24106112.9400001200011000051.26%1192120000.3000000000
12Mikhail SergachevSabres (BUF)D8221416931512715710343311.94%84177821.69123142380112182000.00%04546000.1800100001
13Eric TangradiSabres (BUF)LW82871513001117011027707.27%237739.430000200011021131.58%571911000.3900000104
14Matt Benning Sabres (BUF)D8231013-1243151271327529344.00%72138616.911125106000168200.00%02444000.1911012200
15Mirco MuellerSabres (BUF)D79111121330101111495926341.69%70150619.0800041350110119000.00%01045000.1601011011
16Travis DermottSabres (BUF)D53189-1010067522812123.57%4781615.4100002000017000.00%0419000.2200000000
17Peter CehlarikSabres (BUF)RW82639-28048377530468.00%155626.8600003000001050.00%10148000.3200000021
18Brett KulakSabres (BUF)D410660402049503111190.00%4958714.3401102000125000.00%0817000.2000013000
19Jordan KyrouSabres (BUF)C82156-322047756621441.52%186718.1900000000000045.61%342118000.1800000000
20Dominic ToninatoSabres (BUF)C250220601922145100.00%42148.57000000000160039.36%9441000.1900000000
21C.J. SmithSabres (BUF)LW4011100413030.00%1266.550000000000000.00%001000.7600000000
22Nic PetanSabres (BUF)C3000-220310000.00%0196.5300000000030050.00%600000.0000000000
Stats d'équipe Total ou en Moyenne14762173685855892923523432401273384615857.94%8892433416.49591061653082939347411873321648.92%5339501496010.48225891027283139
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
1Cal PetersenSabres (BUF)58332130.9212.503504401461842904510.633305725970
2Anton Forsberg Sabres (BUF)2581160.9132.7314952168782366000.667272557402
Stats d'équipe Total ou en Moyenne83413290.9182.5750006121426241270510.6495782821372


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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander KhokhlachevSabres (BUF)RW261993-09-09 11:11:13Yes191 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$No
Anton Forsberg Sabres (BUF)G271992-11-26 19:51:45Yes192 Lbs6 ft3NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
Brendan GuhleSabres (BUF)D221997-07-29 12:15:01Yes196 Lbs6 ft2NoNoNo1Pro & Farm697,500$0$0$No
Brett KulakSabres (BUF)D261994-01-06 17:11:13Yes187 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
C.J. SmithSabres (BUF)LW251994-12-01 08:27:09Yes181 Lbs5 ft11NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Cal PetersenSabres (BUF)G251994-10-19 07:47:30Yes185 Lbs6 ft1NoNoNo3Pro & Farm858,333$0$0$No858,333$858,333$
Dominic ToninatoSabres (BUF)C261994-03-09 05:03:20Yes200 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
Eric TangradiSabres (BUF)LW311989-02-10 11:11:13Yes226 Lbs6 ft4NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Evan RodriguesSabres (BUF)C261993-07-28 12:18:39Yes176 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$No
Fredrik ClaessonSabres (BUF)D271992-11-24 05:11:13Yes200 Lbs6 ft1NoNoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$
Jakub ZborilSabres (BUF)D231997-02-21 03:46:52Yes200 Lbs6 ft0NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$
Jordan KyrouSabres (BUF)C211998-05-05 03:48:23Yes175 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Josh LeivoSabres (BUF)RW261993-05-26 11:11:13Yes192 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No800,000$
Jujhar KhairaSabres (BUF)C251994-08-13 17:11:13Yes212 Lbs6 ft4NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Lawrence PilutSabres (BUF)D241995-12-30 08:55:24Yes180 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Mario KempeSabres (BUF)LW311988-09-19 05:08:42Yes185 Lbs6 ft0NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Matt Benning Sabres (BUF)D251994-05-25 04:33:07Yes203 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
Mikhail SergachevSabres (BUF)D211998-06-25 12:20:23Yes215 Lbs6 ft3NoNoNo1Pro & Farm894,166$0$0$No
Mirco MuellerSabres (BUF)D251995-03-21 23:11:13Yes210 Lbs6 ft3NoNoNo2Pro & Farm600,000$0$0$No600,000$
Nic PetanSabres (BUF)C251995-03-22 23:11:13Yes179 Lbs5 ft9NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Peter CehlarikSabres (BUF)RW241995-08-02 12:22:04Yes202 Lbs6 ft2NoNoNo1Pro & Farm742,500$0$0$No
Quinton HowdenSabres (BUF)LW281992-01-21 05:11:13Yes194 Lbs6 ft2NoNoNo1Pro & Farm1,200,000$0$0$No
Taylor BeckSabres (BUF)RW281991-05-13 23:11:13Yes210 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
Tim SchallerSabres (BUF)LW291990-11-16 17:11:13Yes210 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$
Tom McCollumSabres (BUF)G301989-12-07 11:11:14Yes217 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Travis DermottSabres (BUF)D231996-12-22 05:00:42Yes204 Lbs6 ft0NoNoNo2Pro & Farm863,333$0$0$No863,333$
Tyrell GoulbourneSabres (BUF)LW261994-01-26 05:06:28Yes195 Lbs5 ft11NoNoNo2Pro & Farm775,000$0$0$No775,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2725.74197 Lbs6 ft12.07796,080$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Quinton HowdenJujhar KhairaJosh Leivo35122
2Tim SchallerEvan RodriguesTaylor Beck35122
3Eric TangradiJordan KyrouAlexander Khokhlachev25122
4Mario KempeDominic ToninatoPeter Cehlarik5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonMikhail Sergachev35122
2Mirco MuellerMatt Benning 35122
3Brett KulakTravis Dermott30122
4Fredrik ClaessonMikhail Sergachev0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Quinton HowdenJujhar KhairaJosh Leivo60122
2Tim SchallerEvan RodriguesTaylor Beck40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonMikhail Sergachev60122
2Mirco MuellerMatt Benning 40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Quinton HowdenJosh Leivo60122
2Tim SchallerTaylor Beck40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonMikhail Sergachev60122
2Mirco MuellerMatt Benning 40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Quinton Howden60122Fredrik ClaessonMikhail Sergachev60122
2Josh Leivo40122Mirco MuellerMatt Benning 40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Quinton HowdenJosh Leivo60122
2Tim SchallerTaylor Beck40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonMikhail Sergachev60122
2Mirco MuellerMatt Benning 40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Quinton HowdenJujhar KhairaJosh LeivoFredrik ClaessonMikhail Sergachev
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Quinton HowdenJujhar KhairaJosh LeivoFredrik ClaessonMikhail Sergachev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alexander Khokhlachev, Eric Tangradi, Mario KempeAlexander Khokhlachev, Eric TangradiMario Kempe
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brett Kulak, Travis Dermott, Mirco MuellerBrett KulakTravis Dermott, Mirco Mueller
Tirs de Pénalité
Quinton Howden, Josh Leivo, Tim Schaller, Taylor Beck, Jujhar Khaira
Gardien
#1 : Anton Forsberg , #2 : Cal Petersen


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
1Avalanche22000000734110000005231100000021141.0007101700558474267390987692086641516526116.67%30100.00%01092219549.75%963197748.71%557111050.18%1799102317747671434729
2Blackhawks321000001073211000007611100000031240.667101727005584742610390987692086103351280700.00%6183.33%11092219549.75%963197748.71%557111050.18%1799102317747671434729
3Blues312000007701010000012-12110000065120.33371320005584742610690987692086863326741119.09%3166.67%01092219549.75%963197748.71%557111050.18%1799102317747671434729
4Bruins63200100171523110010079-232100000106470.5831732490055847426180909876920862046512616238615.79%37683.78%01092219549.75%963197748.71%557111050.18%1799102317747671434729
5Canadiens613000111824-630200001814-6311000101010050.417183048005584742618590987692086200638920245817.78%371072.97%01092219549.75%963197748.71%557111050.18%1799102317747671434729
6Canucks21001000633100010003211100000031241.0006915005584742659909876920866419651500.00%3166.67%01092219549.75%963197748.71%557111050.18%1799102317747671434729
7Capitals4220000079-2220000005322020000026-440.50071219005584742613790987692086125376212616212.50%16475.00%11092219549.75%963197748.71%557111050.18%1799102317747671434729
8Devils4110101015105201000107702100100083560.750152742015584742613390987692086120363210617741.18%16381.25%11092219549.75%963197748.71%557111050.18%1799102317747671434729
9Ducks32001000963110000002112100100075261.000915240055847426999098769208699351094700.00%50100.00%01092219549.75%963197748.71%557111050.18%1799102317747671434729
10Flames2020000059-41010000024-21010000035-200.0005914005584742663909876920867717268300.00%10100.00%01092219549.75%963197748.71%557111050.18%1799102317747671434729
11Flyers40300010711-42020000026-42010001055020.25071118005584742613190987692086118443111814321.43%13376.92%01092219549.75%963197748.71%557111050.18%1799102317747671434729
12Islanders421000101073211000005502100001052360.750101525005584742612490987692086130472611817211.76%13653.85%01092219549.75%963197748.71%557111050.18%1799102317747671434729
13Kings2020000059-41010000034-11010000025-300.00057120055847426719098769208672298586116.67%4175.00%01092219549.75%963197748.71%557111050.18%1799102317747671434729
14Maple Leafs60100131171703010002087130000111910-180.667172239005584742621790987692086186739416445613.33%28678.57%01092219549.75%963197748.71%557111050.18%1799102317747671434729
15Oilers2010000179-21010000034-11000000145-110.250712190055847426639098769208672166515240.00%330.00%01092219549.75%963197748.71%557111050.18%1799102317747671434729
16Penguins411000119812010000135-22100001063350.62591625005584742613990987692086125593411312216.67%12191.67%01092219549.75%963197748.71%557111050.18%1799102317747671434729
17Predators21001000927110000007161000100021141.0009142300558474267190987692086592435494250.00%5180.00%01092219549.75%963197748.71%557111050.18%1799102317747671434729
18Rangers4310000014113220000009542110000056-160.750142236005584742613590987692086131343611112216.67%13284.62%01092219549.75%963197748.71%557111050.18%1799102317747671434729
19Red Wings731000121717041100002711-4320000101064100.714172845005584742622790987692086200711362015159.80%38684.21%01092219549.75%963197748.71%557111050.18%1799102317747671434729
20Senateurs606000001123-1230300000712-530300000411-700.0001117280055847426198909876920861947612216540410.00%511374.51%01092219549.75%963197748.71%557111050.18%1799102317747671434729
21Sharks210000014401000000123-11100000021130.750471100558474266990987692086842510584125.00%5180.00%01092219549.75%963197748.71%557111050.18%1799102317747671434729
22Stars220000001147110000006241100000052341.0001118290055847426859098769208657224626466.67%20100.00%01092219549.75%963197748.71%557111050.18%1799102317747671434729
Total82283204297226222441121901135110117-74116130316211610511910.5552263685941155847426273390987692086262588993523433765915.69%3207078.13%31092219549.75%963197748.71%557111050.18%1799102317747671434729
24Wild2020000047-31010000012-11010000035-200.0004591055847426659098769208655141260500.00%6183.33%01092219549.75%963197748.71%557111050.18%1799102317747671434729
_Since Last GM Reset82283204297226222441121901135110117-74116130316211610511910.5552263685941155847426273390987692086262588993523433765915.69%3207078.13%31092219549.75%963197748.71%557111050.18%1799102317747671434729
_Vs Conference55162201295142152-1028713001346884-1627990116174686590.5361422323740155847426180690987692086173360578815863074715.31%2746078.10%21092219549.75%963197748.71%557111050.18%1799102317747671434729
_Vs Division31713002548096-161628001233753-1615550013143430300.4848012920900558474261007909876920869843485678942192913.24%1914178.53%01092219549.75%963197748.71%557111050.18%1799102317747671434729

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8291L222636859427332625889935234311
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8228324297226222
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4112191135110117
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4116133162116105
Derniers 10 Matchs
WLOTWOTL SOWSOL
720001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3765915.69%3207078.13%3
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
9098769208655847426
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
1092219549.75%963197748.71%557111050.18%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1799102317747671434729


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 - 2019-10-064Canadiens5Sabres4LXXR5Sommaire du Match
5 - 2019-10-1026Maple Leafs2Sabres1LSommaire du Match
7 - 2019-10-1240Sabres2Bruins3LSommaire du Match
8 - 2019-10-1346Sabres3Red Wings2WXXR5Sommaire du Match
11 - 2019-10-1659Red Wings2Sabres1LXXSommaire du Match
14 - 2019-10-1973Sabres2Maple Leafs3LXR5Sommaire du Match
16 - 2019-10-2184Red Wings5Sabres2LR5Sommaire du Match
18 - 2019-10-2396Sabres3Canadiens6LR5Sommaire du Match
20 - 2019-10-25106Senateurs4Sabres2LSommaire du Match
22 - 2019-10-27116Sabres1Senateurs2LSommaire du Match
24 - 2019-10-29129Bruins3Sabres2LXSommaire du Match
27 - 2019-11-01145Canadiens5Sabres3LR5Sommaire du Match
30 - 2019-11-04162Sabres1Capitals3LSommaire du Match
32 - 2019-11-06170Red Wings3Sabres2LXXR5Sommaire du Match
35 - 2019-11-09185Sabres3Canadiens2WXXR5Sommaire du Match
37 - 2019-11-11195Senateurs5Sabres3LSommaire du Match
39 - 2019-11-13212Sabres4Devils0WSommaire du Match
41 - 2019-11-15220Rangers2Sabres4WSommaire du Match
44 - 2019-11-18238Sabres4Canadiens2WR5Sommaire du Match
46 - 2019-11-20245Islanders4Sabres3LSommaire du Match
49 - 2019-11-23262Sabres2Islanders1WXXSommaire du Match
51 - 2019-11-25270Red Wings1Sabres2WR5Sommaire du Match
53 - 2019-11-27285Sabres3Canucks1WSommaire du Match
55 - 2019-11-29292Capitals1Sabres2WR2Sommaire du Match
57 - 2019-12-01300Sabres3Ducks2WSommaire du Match
60 - 2019-12-04318Islanders1Sabres2WSommaire du Match
63 - 2019-12-07329Sabres3Wild5LSommaire du Match
65 - 2019-12-09340Wild2Sabres1LSommaire du Match
67 - 2019-12-11353Sabres1Rangers3LSommaire du Match
69 - 2019-12-13364Sabres3Flames5LSommaire du Match
70 - 2019-12-14372Devils5Sabres4LSommaire du Match
74 - 2019-12-18391Canucks2Sabres3WXSommaire du Match
78 - 2019-12-22411Penguins2Sabres1LR2Sommaire du Match
81 - 2019-12-25428Sabres4Rangers3WSommaire du Match
82 - 2019-12-26435Avalanche2Sabres5WSommaire du Match
85 - 2019-12-29452Sabres4Red Wings3WR5Sommaire du Match
87 - 2019-12-31459Sabres2Penguins1WXXSommaire du Match
88 - 2020-01-01465Senateurs3Sabres2LSommaire du Match
91 - 2020-01-04482Stars2Sabres6WSommaire du Match
93 - 2020-01-06489Sabres2Kings5LSommaire du Match
95 - 2020-01-08502Sabres4Devils3WXSommaire du Match
97 - 2020-01-10509Blackhawks2Sabres4WSommaire du Match
99 - 2020-01-12526Sabres3Red Wings1WR5Sommaire du Match
101 - 2020-01-14534Blackhawks4Sabres3LSommaire du Match
104 - 2020-01-17547Sabres3Blackhawks1WSommaire du Match
105 - 2020-01-18558Devils2Sabres3WXXSommaire du Match
108 - 2020-01-21570Sabres1Senateurs5LSommaire du Match
110 - 2020-01-23581Sabres1Blues4LSommaire du Match
111 - 2020-01-24588Canadiens4Sabres1LR5Sommaire du Match
114 - 2020-01-27605Flames4Sabres2LSommaire du Match
119 - 2020-02-01628Sabres4Oilers5LXXSommaire du Match
120 - 2020-02-02632Flyers4Sabres1LSommaire du Match
123 - 2020-02-05649Sabres3Maple Leafs4LXXR5Sommaire du Match
124 - 2020-02-06656Capitals2Sabres3WR2Sommaire du Match
127 - 2020-02-09672Sabres4Maple Leafs3WXXSommaire du Match
129 - 2020-02-11679Rangers3Sabres5WSommaire du Match
131 - 2020-02-13693Sabres3Islanders1WSommaire du Match
132 - 2020-02-14702Ducks1Sabres2WSommaire du Match
135 - 2020-02-17719Sabres2Sharks1WSommaire du Match
137 - 2020-02-19726Kings4Sabres3LSommaire du Match
141 - 2020-02-23747Oilers4Sabres3LSommaire du Match
143 - 2020-02-25758Sabres1Capitals3LR2Sommaire du Match
145 - 2020-02-27769Sabres2Predators1WXSommaire du Match
147 - 2020-02-29777Predators1Sabres7WSommaire du Match
149 - 2020-03-02793Sabres5Blues1WSommaire du Match
150 - 2020-03-03799Sharks3Sabres2LXXSommaire du Match
153 - 2020-03-06813Sabres2Senateurs4LSommaire du Match
155 - 2020-03-08824Maple Leafs3Sabres4WXXR5Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
159 - 2020-03-12844Flyers2Sabres1LSommaire du Match
161 - 2020-03-14855Sabres2Avalanche1WSommaire du Match
162 - 2020-03-15860Sabres4Ducks3WXSommaire du Match
164 - 2020-03-17871Blues2Sabres1LSommaire du Match
166 - 2020-03-19879Sabres3Flyers2WXXSommaire du Match
168 - 2020-03-21892Sabres4Penguins2WR2Sommaire du Match
170 - 2020-03-23898Sabres5Stars2WSommaire du Match
171 - 2020-03-24904Maple Leafs2Sabres3WXXR5Sommaire du Match
175 - 2020-03-28921Penguins3Sabres2LXXR2Sommaire du Match
176 - 2020-03-29924Sabres4Bruins1WSommaire du Match
179 - 2020-04-01940Sabres4Bruins2WSommaire du Match
182 - 2020-04-04954Bruins2Sabres4WSommaire du Match
186 - 2020-04-08969Bruins4Sabres1LSommaire du Match
187 - 2020-04-09978Sabres2Flyers3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance77,27437,544
Assistance PCT94.24%91.57%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2800 - 93.35% 94,459$3,872,827$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,884,606$ 2,149,416$ 1,499,416$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
11,313$ 2,384,662$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 13,944$ 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
Saison Régulière
137834280713521819820391715021131121048391713050221069412682183355533067786313261789087582849257986967021813747620.32%3145582.48%41085211051.42%1069206051.89%555109550.68%1737101116747201329666
1482283204297226222441121901135110117-74116130316211610511912263685941155847426273390987692086262588993523433765915.69%3207078.13%31092219549.75%963197748.71%557111050.18%1799102317747671434729
Total Saison Régulière160626001131212444420248029340324822222118033260818422219923159444703114741122162137395350179917511748135520417581605452475013518.00%63412580.28%72177430550.57%2032403750.33%1112220550.43%353720343448148827631395
Séries
12844000002729-2422000001115-442200000161428274370006127228686104732332310515325146817.39%501374.00%013025151.79%13125750.97%5612544.80%177941898115174
Total Séries844000002729-2422000001115-442200000161428274370006127228686104732332310515325146817.39%501374.00%013025151.79%13125750.97%5612544.80%177941898115174