Connexion


Centre de jeu
Spiders
8-5-1, 17pts
3
FINAL
4 Senators
4-7-2, 10pts
Team Stats
SOL1StreakL1
6-0-0Home Record2-5-0
2-5-1Away Record2-2-2
5-4-1Last 10 Games4-5-1
3.57Buts par match 2.31
3.43Buts contre par match 3.54
17.02%Pourcentage en avantage numérique16.33%
76.19%Pourcentage en désavantage numérique72.00%
National
8-5-1, 17pts
5
FINAL
0 Senators
4-7-2, 10pts
Team Stats
W2StreakL1
4-2-0Home Record2-5-0
4-3-1Away Record2-2-2
6-3-1Last 10 Games4-5-1
3.64Buts par match 2.31
2.86Buts contre par match 3.54
22.86%Pourcentage en avantage numérique16.33%
87.30%Pourcentage en désavantage numérique72.00%
Senators
4-7-2, 10pts
Jour 32
National
8-5-1, 17pts
Stats Équipe
L1SéquenceW2
2-5-0Fiche domicile4-2-0
2-2-2Fiche visiteur4-3-1
4-5-110 derniers matchs6-3-1
2.31Buts par match 3.64
3.54Buts contre par match 2.86
16.33%Pourcentage en avantage numérique22.86%
72.00%Pourcentage en désavantage numérique87.30%
Thunder
8-5-0, 16pts
Jour 34
Senators
4-7-2, 10pts
Stats Équipe
L1SéquenceL1
5-2-0Fiche domicile2-5-0
3-3-0Fiche visiteur2-2-2
6-4-010 derniers matchs4-5-1
3.23Buts par match 2.31
2.85Buts contre par match 3.54
12.24%Pourcentage en avantage numérique16.33%
86.00%Pourcentage en désavantage numérique72.00%
Senators
4-7-2, 10pts
Jour 35
Griffins
7-6-1, 15pts
Stats Équipe
L1SéquenceW1
2-5-0Fiche domicile4-2-1
2-2-2Fiche visiteur3-4-0
4-5-110 derniers matchs4-5-1
2.31Buts par match 2.93
3.54Buts contre par match 2.71
16.33%Pourcentage en avantage numérique16.36%
72.00%Pourcentage en désavantage numérique87.14%
Meneurs d'équipe
Tanner LaczynskiButs
Tanner Laczynski
5
Vincent HinostrozaPasses
Vincent Hinostroza
7
Vincent HinostrozaPoints
Vincent Hinostroza
9
Matt KierstedPlus/Moins
Matt Kiersted
6
Matthew MurrayVictoires
Matthew Murray
2
Matthew MurrayPourcentage d’arrêts
Matthew Murray
0.898

Stats Équipe
Buts pour
30
2.31 GFG
Tirs pour
299
23.00 Avg
Pourcentage en avantage numérique
16.3%
8 GF
Début de zone offensive
38.3%
Buts contre
46
3.54 GAA
Tirs contre
423
32.54 Avg
Pourcentage en désavantage numérique
72.0%
14 GA
Début de la zone défensive
42.0%
Information d’équipe
Directeur généralGuy Morin
EntraîneurBrock Sheahan
DivisionAtlantic
ConférenceEastern
Capitaine
Assistant #1David Spacek
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro28
Équipe Mineure18
Limite contact 46 / 50
Espoirs26
Historique d'équipe
Saison actuelle4-7-2 (10PTS)
Historique132-98-25 (0.518%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)18-9
Stanley Cup1


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 SPÂgeContratSalaire
1Oskar SundqvistX100.0067568076777789578157577240848140226503112,000,000$
2Gage GoncalvesX100.0068458580557684594056616590707375196302431,000,000$
3Vincent HinostrozaX100.006542858149776956405161666984814019620312950,000$
4Tanner LaczynskiX100.006247798166605062406460654078695519620282975,000$
5Tomas NosekX100.0073518775677183518751517040888030196203312,000,000$
6Fedor SvechkovX100.005445858055767958725463644066718519620222925,000$
7Carl GrundstromX100.0099488177617181524049546365787555196102811,975,000$
8Cole GuttmanX100.005045808248796958706057509074776519610261825,000$
9Nikita NesterenkoX100.009449887863725757404866624070717519610241750,000$
10Joona KoppanenX100.009957907579775149744057634076776019600272850,000$
11Sam Morton (R)X100.006146858856796951704953514074776513590263575,000$
12Braeden Bowman (R)X100.0075528683707767474047475540667285195802231,500,000$
13Drew HellesonX100.0081587376747781564053597640707475236802411,250,000$
14Nikita NovikovX100.006250757572726739403741704066698519610222925,000$
15Joe HickettsX100.007639757541666144405236684080735019600291950,000$
16Noel HoefenmayerX100.007153787565555047405144674074656519600262900,000$
17Matt KierstedX100.005544787552686344405632704076726019600272850,000$
Rayé
1Brian HalonenX100.006055757664716151403766704074736518590261632,500$
2Zack OstapchukX100.008666747575708148844451634066688518590222925,000$
3Noah Philp (R)X100.006351877566705350745150654076736032580273575,000$
4Alexander NylanderX100.0050478676667363534047595040767560105702712,443,760$
5Francesco PinelliX100.005757777556796942403648624066738520550222925,000$
6Cole ClaytonX100.006560787564676235403832654072707019590253900,000$
7Declan CarlileX100.005349717563595439403543704072667020580252950,000$
8David Spacek (A)X100.005146817556767144405137504066718520570222925,000$
MOYENNE D’ÉQUIPE 100.00685081776272675052495164467473661960
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 SPÂgeContratSalaire
1Colten Ellis100.00897176846868616766668772707018690251750,000$
2Magnus Chrona100.00825760925050505050505072617020580251632,500$
Rayé
1Matthew Murray100.00757279867268677071729976726022710271900,000$
MOYENNE D’ÉQUIPE100.0082677287636259626263797368672066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brock Sheahan76667659767588CAN414250,000$


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
1Vincent HinostrozaSenators (Ott)C13279000825273227.41%222417.241239400000301043.52%19300000.8000000210
2Tanner LaczynskiSenators (Ott)LW13549-12052632102215.63%221416.481232330000211033.33%1200000.8411000003
3Fedor SvechkovSenators (Ott)C13549-24033334172614.71%626220.211235400001400061.87%29900000.6901000020
4Nikita NesterenkoSenators (Ott)C13257-6202324325326.25%121316.440339380001211039.04%25100000.6600000100
5Gage GoncalvesSenators (Ott)RW13336-22021302872310.71%222217.12123740000040038.46%1300000.5400000001
6Drew HellesonSenators (Ott)D13235-816052141551413.33%1927721.31000312000043000.00%000000.3600000020
7Matt KierstedSenators (Ott)D1005562015111200.00%1221221.2800002000025000.00%000000.4700000001
8Cole ClaytonSenators (Ott)D10134-36018651220.00%1321921.92022229000027000.00%000000.3700000011
9Cole GuttmanSenators (Ott)C13134-500325194125.26%121716.740112270000190058.86%15800000.3700000000
10Braeden BowmanSenators (Ott)LW132241951012265137.69%322617.442021040000070090.00%1000000.3500001000
11Carl GrundstromSenators (Ott)RW13123-31403915137107.69%115912.2900000000000045.45%1100000.3800000001
12Oskar SundqvistSenators (Ott)RW52131205481425.00%19619.320003100000140057.14%700000.6200000020
13Brian HalonenSenators (Ott)LW8123000410172195.88%09712.19000516000000042.86%700000.6200000001
14Sam MortonSenators (Ott)C11123-4405712038.33%112010.99000310011030048.57%3500000.5000000000
15Joe HickettsSenators (Ott)D13022-430035182050.00%1524318.7300012000029000.00%000000.1600000000
16Noel HoefenmayerSenators (Ott)D13112-580431262616.67%1428421.89112531000018000.00%000000.1400000110
17Nikita NovikovSenators (Ott)D13202-600201462333.33%2532024.63101111000038000.00%000000.1200000100
18Tomas NosekSenators (Ott)LW13011-620411144130.00%216212.480003130000120080.00%500000.1200000000
19Zack OstapchukSenators (Ott)RW8011-51401557140.00%410513.2500001000060056.00%2500000.1900000000
20Alexander NylanderSenators (Ott)RW2000-100011000.00%02412.470000000000000.00%000000.0000000000
21Joona KoppanenSenators (Ott)LW100000207118340.00%010610.6700001000000075.00%400000.0000000000
Statistiques d’équipe totales ou en moyenne233315182-531195335314313812379.90%124401317.23815237040401123643051.26%103000000.4112001598
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
1Matthew MurraySenators (Ott)82420.8983.3348700272650101.000384120
2Colten EllisSenators (Ott)52200.8863.44244150141230000.000058010
3Magnus ChronaSenators (Ott)10100.8575.4655005350000.000001000
Statistiques d’équipe totales ou en moyenne144720.8913.51787150464230101.00031313130


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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Alexander NylanderSenators (Ott)RW271998-03-02No205 Lbs6 ft1NoNoYes1Pro & Farm2,443,760$0$0$No
UFA
Lien / Lien NHL
Braeden BowmanSenators (Ott)LW222003-06-26Yes210 Lbs6 ft2NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
RFA
Lien / Lien NHL
Brian HalonenSenators (Ott)LW261999-01-11No205 Lbs6 ft0NoNoNo1Pro & Farm632,500$0$0$No
RFA
Lien / Lien NHL
Carl GrundstromSenators (Ott)RW281997-12-01No200 Lbs6 ft0NoNoNo1Pro & Farm1,975,000$0$0$No
UFA
Lien / Lien NHL
Cole ClaytonSenators (Ott)D252000-02-29No198 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
UFA
Lien / Lien NHL
Cole GuttmanSenators (Ott)C261999-04-06No181 Lbs5 ft10NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Colten EllisSenators (Ott)G252000-10-05No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
David SpacekSenators (Ott)D222003-02-18No190 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Declan CarlileSenators (Ott)D252000-05-18No192 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No950,000$
RFA
Lien / Lien NHL
Drew HellesonSenators (Ott)D242001-03-26No213 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$0$0$No
RFA
Lien / Lien NHL
Fedor SvechkovSenators (Ott)C222003-04-05No187 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Francesco PinelliSenators (Ott)LW222003-04-11No190 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Gage GoncalvesSenators (Ott)RW242001-01-16No184 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
RFA
Lien / Lien NHL
Joe HickettsSenators (Ott)D291996-05-04No176 Lbs5 ft8NoNoNo1Pro & Farm950,000$0$0$No
UFA
Lien / Lien NHL
Joona KoppanenSenators (Ott)LW271998-02-25No215 Lbs6 ft5NoNoNo2Pro & Farm850,000$0$0$No850,000$
UFA
Lien / Lien NHL
Magnus ChronaSenators (Ott)G252000-08-28No194 Lbs6 ft4NoNoNo1Pro & Farm632,500$0$0$No
RFA
Lien / Lien NHL
Matt KierstedSenators (Ott)D271998-04-14No181 Lbs6 ft0NoNoNo2Pro & Farm850,000$0$0$No850,000$
UFA
Lien / Lien NHL
Matthew MurraySenators (Ott)G271998-02-02No195 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
UFA
Lien / Lien NHL
Nikita NesterenkoSenators (Ott)C242001-09-10No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Nikita NovikovSenators (Ott)D222003-07-25No205 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Noah PhilpSenators (Ott)C271998-08-31Yes198 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Lien / Lien NHL
Noel HoefenmayerSenators (Ott)D261999-01-06No204 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$
UFA
Lien / Lien NHL
Oskar SundqvistSenators (Ott)RW311994-03-23No220 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Lien / Lien NHL
Sam MortonSenators (Ott)C261999-07-28Yes190 Lbs6 ft0NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Lien / Lien NHL
Tanner LaczynskiSenators (Ott)LW281997-06-01No205 Lbs6 ft1NoNoNo2Pro & Farm975,000$0$0$No975,000$
UFA
Lien / Lien NHL
Tomas NosekSenators (Ott)LW331992-09-01No199 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Lien / Lien NHL
Vincent HinostrozaSenators (Ott)C311994-04-03No183 Lbs5 ft10NoNoNo2Pro & Farm950,000$0$0$No950,000$
UFA
Lien / Lien NHL
Zack OstapchukSenators (Ott)RW222003-05-29No212 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.82197 Lbs6 ft11.751,062,813$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Braeden BowmanFedor SvechkovGage Goncalves25104
2Tanner LaczynskiVincent HinostrozaOskar Sundqvist25104
3Sam MortonNikita NesterenkoCarl Grundstrom25113
4Joona KoppanenCole GuttmanTomas Nosek25113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonNikita Novikov30113
2Matt KierstedNoel Hoefenmayer30113
3Joe HickettsNikita Novikov25122
4Drew HellesonNoel Hoefenmayer15122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vincent HinostrozaNikita NesterenkoOskar Sundqvist50104
2Tanner LaczynskiFedor SvechkovGage Goncalves50104
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonBraeden Bowman50014
2Noel HoefenmayerSam Morton50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Fedor SvechkovOskar Sundqvist50131
2Cole GuttmanTomas Nosek50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonNikita Novikov50131
2Matt KierstedJoe Hicketts50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oskar Sundqvist50140Matt KierstedNoel Hoefenmayer50140
2Tomas Nosek50140Nikita NovikovJoe Hicketts50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Fedor SvechkovGage Goncalves50113
2Nikita NesterenkoOskar Sundqvist50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew HellesonNikita Novikov50113
2Joe HickettsMatt Kiersted50113
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tanner LaczynskiFedor SvechkovBraeden BowmanNoel HoefenmayerJoe Hicketts
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gage GoncalvesCole GuttmanCarl GrundstromMatt KierstedNikita Novikov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Guttman, Braeden Bowman, Fedor SvechkovTanner Laczynski, Vincent HinostrozaOskar Sundqvist
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noel Hoefenmayer, Joe Hicketts, Nikita NovikovMatt KierstedJoe Hicketts, Nikita Novikov
Tirs de pénalité
Gage Goncalves, Cole Guttman, Vincent Hinostroza, Carl Grundstrom, Oskar Sundqvist
Gardien
#1 : Colten Ellis, #2 : Magnus Chrona


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
TotalDomicileVisiteur
# 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
1BigBadStars2020000025-32020000025-30000000000000.000246001510414996109924801522626116.67%10370.00%020437554.40%21541152.31%9319348.19%3242313078815679
2Darkness211000005501010000034-11100000021120.500581300151041289610992440916378112.50%7185.71%020437554.40%21541152.31%9319348.19%3242313078815679
3Griffins1000010034-1000000000001000010034-110.500369001510412296109924311011207228.57%30100.00%020437554.40%21541152.31%9319348.19%3242313078815679
4National20200000310-720200000310-70000000000000.0003580015104144961099245722373210110.00%12558.33%020437554.40%21541152.31%9319348.19%3242313078815679
5Oceanic2010001058-3100000105411010000004-420.5005712001510415396109924931918454125.00%9366.67%020437554.40%21541152.31%9319348.19%3242313078815679
6Pantheres11000000532000000000001100000053221.00056110015104124961099242611232300.00%110.00%020437554.40%21541152.31%9319348.19%3242313078815679
7Spiders31100100711-4110000004312010010038-530.500710170015104179961099249626187611218.18%8187.50%020437554.40%21541152.31%9319348.19%3242313078815679
Total1337002103046-16715000101726-9622002001320-7100.385304676001510412999610992442311212430449816.33%501472.00%020437554.40%21541152.31%9319348.19%3242313078815679
_Since Last GM Reset1337002103046-16715000101726-9622002001320-7100.385304676001510412999610992442311212430449816.33%501472.00%020437554.40%21541152.31%9319348.19%3242313078815679
_Vs Conference1337002103046-16715000101726-9622002001320-7100.385304676001510412999610992442311212430449816.33%501472.00%020437554.40%21541152.31%9319348.19%3242313078815679
_Vs Division537002101021-1131500010713-62220020038-5101.0001015250015104112396109924153485510821314.29%20670.00%020437554.40%21541152.31%9319348.19%3242313078815679

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
1310L130467629942311212430400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
133702103046
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
71500101726
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
62202001320
Derniers 10 matchs
WLOTWOTL SOWSOL
350110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
49816.33%501472.00%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
96109924151041
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
20437554.40%21541152.31%9319348.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3242313078815679


Derniers matchs 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
212Senators1Spiders5ALSommaire du match
425BigBadStars3Senators2BLSommaire du match
527Senators3Griffins4ALXSommaire du match
849National5Senators3BLSommaire du match
1169Senators2Darkness1AWSommaire du match
1380Oceanic4Senators5BWXXSommaire du match
16103BigBadStars2Senators0BLSommaire du match
17111Senators2Spiders3ALXSommaire du match
20133Senators0Oceanic4ALSommaire du match
21138Senators5Pantheres3AWSommaire du match
23154Darkness4Senators3BLSommaire du match
27176Spiders3Senators4BWSommaire du match
30196National5Senators0BLSommaire du match
32211Senators-National-
34228Thunder-Senators-
35237Senators-Griffins-
37253Senators-Pantheres-
39268National-Senators-
42288Senators-Remparts-
43298Iceberg-Senators-
47323Spiders-Senators-
50346Thunder-Senators-
52360Senators-BigBadStars-
55379Oceanic-Senators-
56393Senators-IceHogs-
58404Senators-BaronsOKC-
60417Wolves-Senators-
62437Senators-Darkness-
63446IceHawks-Senators-
66466Senators-Oceanic-
68479BigBadStars-Senators-
70498Senators-SilverKnights-
71507Senators-Sagueneens-
73516Darkness-Senators-
76540Pantheres-Senators-
78557Senators-Wolves-
80572Griffins-Senators-
82587Senators-Draveurs-
84598Senators-Oceanic-
85608Nordiques-Senators-
88632Senators-Bandits-
89641Thunder-Senators-
92661Senators-Pantheres-
93672Spiders-Senators-
97693Senators-Mighty Ducks-
98704BigBadStars-Senators-
101722Senators-Checkers-
103733National-Senators-
105747Senators-Griffins-
107763Magics-Senators-
110787Roadrunners-Senators-
111798Senators-IceHawks-
114813Senators-Nordiques-
116828Sagueneens-Senators-
119849Wolves-Senators-
123872Senators-Griffins-
124884WolfPack-Senators-
127904Senators-BaronsOKC-
128914Griffins-Senators-
131937EvilSharks-Senators-
133955Senators-Magics-
134966Eagles-Senators-
136979Senators-Darkness-
1391001Griffins-Senators-
1421026IceHogs-Senators-
1441035Senators-Vikings-
1461057Oceanic-Senators-
1471063Senators-Thunder-
1501081Senators-National-
1521094Darkness-Senators-
1541110Senators-National-
1561122IceBears-Senators-
1571130Senators-BigBadStars-
1601154HC-Senators-
1621167Senators-BigBadStars-
1651186Pantheres-Senators-
1661198Senators-Spiders-
1691214Pantheres-Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1711222Senators-EvilSharks-
1751246Iceberg-Senators-
1761252Senators-Spiders-
1781263Senators-Cyclones-



Senators Leaders statistiques (saison régulière)
# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Ben Ondrus1586292484776-46200723382289280010.43%9332675316.8768106174382781574321451.13%70.58725
2Jaroslav Bednar3091091352441710039955487112.51%98648420.981840581296283417459.86%30.75847
3Riley Stillman3554114919058533106732036511.23%366728720.532236582050334530.00%00.5200
4Riley Barber2577511418940449243661612.18%22430416.75173451118112813345.76%00.88513
5Teddy Blueger249841051892416433371361013.77%76461318.532334571081341718560.61%20.82523

Senators Leaders des statistiques des gardiens (saison régulière)
# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Brent Krahn271123109380.8962.5816199215697673421341550.743148
2Joonas Korpisalo17110751130.9012.1910307102237638040520.80968
3Magnus Hellberg16110443140.9022.409732101638939850700.78789
4Mattias Modig22984120180.8793.151310122136875692120830.74775
5Thomas McCollum1736981170.8902.691009521945240940720.76869

Senators Statistiques de l'Équipe de Carrière
TotalDomicileVisiteur
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
203680343506122230265-3540191404111124126-240152102011106139-3387230414644140917160181605996105802075587102220393136119.49%4197781.62%21131218551.76%1183226152.32%663123453.73%200714171853554974496
2037824622042442831978641286012311427567411816030131411221911428350278511092948912229571175581142194954182619403467421.39%3725186.29%41369261552.35%1258234253.71%656125552.27%2164154218065601006525
203878253403646194221-273912170231493104-1139131701332101117-16761943475411573654913161654152852356180848159815583596016.71%2595479.15%11251211559.15%1180202958.16%680111361.10%210215061674536976518
20391337002103046-16715000101726-9622002001320-710304676001510412999610992442311212430449816.33%501472.00%020437554.40%21541152.31%9319348.19%3242313078815679
Total Saison régulière25310898013111112737729812760420766637633145126485606556361398-37287737130920463191802602138660261348199120366826255172125705841106720319.03%110019682.18%73955729054.25%3836704354.47%2092379555.13%659946975641173931131620
Séries éliminatoires
2036624000001921-232100000128430300000713-6419355400031151380444153113286213820210.00%31970.97%28817051.76%5815138.41%489848.98%13292156437133
20372116500000775027109100000351817117400000423210327713421111252624253117315517330389129236453832125.30%1031486.41%132564250.62%29057150.79%17733053.64%527363494156274138
Total Séries éliminatoires27189000009671251311200000472621147700000494543696169265112529357669173199214835021572985911032322.33%1342382.84%341381250.86%34872248.20%22542852.57%659456651200346172

Senators Leaders statistiques (séries éliminatoires)
# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Ryan Donato52211940884111412816.41%480615.502682611245152.04%10.9900
2Tyler Motte39191938114211814114313.29%1677319.823471610113143.70%10.9800
3Nate Thompson32112435536431198712.64%766820.8947111600011067.76%01.0500
4Riley Barber5215193496218512911.63%386516.6455103100024333.33%00.7900
5Nolan Patrick32161733610148611214.29%771922.475492800041170.86%00.9200

Senators Leaders des statistiques des gardiens (séries éliminatoires)
# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Magnus Hellberg39241410.9012.7124182110911020210.0000
2Scott Wedgewood1815300.8822.08109401383220110.0000
3Joonas Korpisalo147610.8892.7286020393520000.0000
4Dylan Wells62400.8003.9132200211050000.0000
5Pyotr Kochetkov41200.8333.282012011660000.0000