Connexion


Centre de jeu
Senators
3-3-0, 6pts
3
FINAL
5 Oceanic
4-1-1, 9pts
Team Stats
W1StreakL1
2-1-0Home Record2-1-1
1-2-0Away Record2-0-0
3-3-0Last 10 Games4-1-1
1.83Buts par match 3.17
3.00Buts contre par match 2.17
3.70%Pourcentage en avantage numérique20.69%
80.77%Pourcentage en désavantage numérique84.62%
Senators
3-3-0, 6pts
2
FINAL
1 IceBears
1-5-0, 2pts
Team Stats
W1StreakL3
2-1-0Home Record0-4-0
1-2-0Away Record1-1-0
3-3-0Last 10 Games1-5-0
1.83Buts par match 2.00
3.00Buts contre par match 3.50
3.70%Pourcentage en avantage numérique16.00%
80.77%Pourcentage en désavantage numérique75.76%
Meneurs d'équipe
Colin BlackwellButs
Colin Blackwell
2
Colin BlackwellPasses
Colin Blackwell
4
Colin BlackwellPoints
Colin Blackwell
6
Colin BlackwellPlus/Moins
Colin Blackwell
5
Colten EllisVictoires
Colten Ellis
3
Colten EllisPourcentage d’arrêts
Colten Ellis
0.893

Stats Équipe
Buts pour
11
1.83 GFG
Tirs pour
133
22.17 Avg
Pourcentage en avantage numérique
3.7%
1 GF
Début de zone offensive
38.2%
Buts contre
18
3.00 GAA
Tirs contre
156
26.00 Avg
Pourcentage en désavantage numérique
80.8%
5 GA
Début de la zone défensive
41.1%
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 Pro26
Équipe Mineure19
Limite contact 45 / 55
Espoirs21
Historique d'équipe
Saison actuelle3-3-0 (6PTS)
Historique173-125-30 (0.527%)
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
1Tanner LaczynskiX100.004552828269725066848150714082774522650291975,000$
2Braeden BowmanX100.0048518682667880654067626440707475226502321,500,000$
3Colin BlackwellX100.0077407980447491547853557640908225166403322,900,000$
4Paul CotterX100.0097568575727297538746595980787555166302732,500,000$
5Nikita NesterenkoX100.008351847867756358406353654074756523630251825,000$
6Alexander NylanderX100.0050478679627464584057606573807750226202812,800,000$
7Trent FredericX100.0099687475787394499243546140807750166202813,000,000$
8Zack OstapchukX100.009665757575728350874456714070717522620231925,000$
9Liam FoudyX100.005449857957695957404966704076736022610262775,000$
10Cole GuttmanX100.005045748247766657405559629078775521610271907,500$
11Ville KoivunenX100.0043448578537670524051546740707375225902331,000,000$
12Kasper Halttunen (R)X100.005947778270786846404349549964719022570203925,000$
13Declan CarlileX100.006858717562747248404453704076756023630261950,000$
14Nikita NovikovX100.006250747572686340403842704070697522610231925,000$
15Zayne Parekh (R)X100.004943868051786857405163614064719022610203925,000$
16Viliam Kmec (R)X100.005643828268696436403538704068698022600223750,000$
17David Spacek (A)X100.005146857756635852406045594070677522590231925,000$
Rayé
1Jacob Gaucher (R)X100.006552777582786846403954614074766520580252700,000$
2Lucas Mercuri (R)X100.007164518078766641703547704072747020580242750,000$
3Francesco PinelliX100.005757757556746447404648704070727520570231925,000$
4David Gucciardi (R)X100.006151698271565136403637634072647019580242750,000$
5Tyrel BauerX100.005570487577565129402632704072647019570242750,000$
6Bryce Montgomery (R)X100.007871437684555032403430594072647019570243750,000$
MOYENNE D’ÉQUIPE 100.00645375786671684951485166487472662161
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 Ellis100.008950608684847783828258768060207702631,700,000$
2Ivan Prosvetov100.00795060935050505050504078645523580273750,000$
Rayé
1Magnus Chrona100.00825060925050505050505076636020580261695,750$
MOYENNE D’ÉQUIPE100.0083506090616159616161497769582164
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brock Sheahan49635265778286CAN423250,000$


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
1Colin BlackwellSenators (Ott)C6246520724161512.50%210717.99000000002190057.80%10900001.1100000020
2Declan CarlileSenators (Ott)D5123114013162516.67%711623.3200021800008000.00%000000.5100000000
3Zayne ParekhSenators (Ott)D61231609481312.50%814624.37101520000013100.00%000000.4100000100
4Liam FoudySenators (Ott)LW6202100211116418.18%06210.3300000000002033.33%300000.6500000011
5Tanner LaczynskiSenators (Ott)C6202-100412101520.00%111218.720003230000160080.00%1000000.3600000100
6Nikita NesterenkoSenators (Ott)C60222559128280.00%09015.04011322000000038.67%7500000.4400001001
7Nikita NovikovSenators (Ott)D6022-3401331220.00%813923.2200001000015000.00%000000.2900000000
8Braeden BowmanSenators (Ott)LW611230017102910.00%19315.57000625000020035.00%2000000.4300000100
9Alexander NylanderSenators (Ott)RW601130031272100.00%09215.36000323000000041.67%2400000.2200000000
10Trent FredericSenators (Ott)C6011-31001616270.00%18814.81000015000000040.00%500000.2300000000
11Ville KoivunenSenators (Ott)RW6011-70011011350.00%19115.3000000000060040.00%500000.2200000000
12David SpacekSenators (Ott)D6011-2201841240.00%712621.11000118000015000.00%000000.1600000001
13Zack OstapchukSenators (Ott)C6101-420101515186.67%010717.930002140000160160.36%11100000.1900000010
14Kasper HalttunenSenators (Ott)LW6011-4001123310.00%09515.97000224000000050.00%5400000.2100000000
15Viliam KmecSenators (Ott)D6101-46011650120.00%1011419.1300039000017010.00%000000.1700000000
16Paul CotterSenators (Ott)LW6000-380459340.00%111018.4600022300021700100.00%800000.0000000000
17Cole GuttmanSenators (Ott)C2000-220253100.00%02110.8900000000000047.62%2100000.0000000000
18Jacob GaucherSenators (Ott)LW1000000103010.00%01111.650000000000000.00%000000.0000000000
19David GucciardiSenators (Ott)D1000200100000.00%11717.070000000001000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne99111829-1561512614413334828.27%48174617.651123224300041533252.58%44500000.3300001343
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
1Colten EllisSenators (Ott)63300.8932.7734701161490010.000060100
2Ivan ProsvetovSenators (Ott)10000.8335.001200160000.000006000
Statistiques d’équipe totales ou en moyenne73300.8902.8435901171550010.000066100


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 Type 2040 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2041 204220432044204520462047Salaire annuel 9Salaire annuel 10Link
Alexander NylanderSenators (Ott)RW281998-03-02No197 Lbs6 ft1NoNoYes1Pro & Farm2,800,000$0$0$No
UFA
Lien / Lien NHL
Braeden BowmanSenators (Ott)LW232003-06-26No205 Lbs6 ft1NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
RFA
Lien / Lien NHL
Bryce MontgomerySenators (Ott)D242002-11-12Yes225 Lbs6 ft5NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
RFA
Lien / Lien NHL
Cole GuttmanSenators (Ott)C271999-04-06No180 Lbs5 ft10NoNoNo1Pro & Farm907,500$0$0$No
UFA
Lien / Lien NHL
Colin BlackwellSenators (Ott)C331993-03-28No181 Lbs5 ft8NoNoYes2Pro & Farm2,900,000$0$0$No2,900,000$
UFA
Lien / Lien NHL
Colten EllisSenators (Ott)G262000-10-05No185 Lbs6 ft1NoNoNo3Pro & Farm1,700,000$0$0$No1,700,000$1,700,000$
UFA
Lien / Lien NHL
David GucciardiSenators (Ott)D242002-10-09Yes211 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
David SpacekSenators (Ott)D232003-02-18No190 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Declan CarlileSenators (Ott)D262000-05-18No190 Lbs6 ft3NoNoNo1Pro & Farm950,000$0$0$No
RFA
Lien / Lien NHL
Francesco PinelliSenators (Ott)LW232003-04-11No190 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Ivan ProsvetovSenators (Ott)G271999-03-04No180 Lbs6 ft5NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
UFA
Lien / Lien NHL
Jacob GaucherSenators (Ott)LW252001-03-09Yes225 Lbs6 ft4NoNoNo2Pro & Farm700,000$0$0$No700,000$
RFA
Lien / Lien NHL
Kasper HalttunenSenators (Ott)LW202006-07-05Yes205 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Liam FoudySenators (Ott)LW262000-02-04No183 Lbs6 ft2NoNoNo2Pro & Farm775,000$0$0$No775,000$
UFA
Lien / Lien NHL
Lucas MercuriSenators (Ott)C242002-03-07Yes222 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Magnus ChronaSenators (Ott)G262000-08-28No194 Lbs6 ft4NoNoNo1Pro & Farm695,750$0$0$No
RFA
Lien / Lien NHL
Nikita NesterenkoSenators (Ott)C252001-09-10No203 Lbs6 ft2NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Nikita NovikovSenators (Ott)D232003-07-25No205 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Paul CotterSenators (Ott)LW271999-11-16No213 Lbs6 ft2NoNoYes3Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$
UFA
Lien / Lien NHL
Tanner LaczynskiSenators (Ott)C291997-06-01No211 Lbs6 ft1NoNoNo1Pro & Farm975,000$0$0$No
UFA
Lien / Lien NHL
Trent FredericSenators (Ott)C281998-02-11No221 Lbs6 ft3NoNoYes1Pro & Farm3,000,000$0$0$No
UFA
Lien / Lien NHL
Tyrel BauerSenators (Ott)D242002-03-23No216 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Viliam KmecSenators (Ott)D222004-01-02Yes206 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
RFA
Lien / Lien NHL
Ville KoivunenSenators (Ott)RW232003-06-13No184 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
RFA
Lien / Lien NHL
Zack OstapchukSenators (Ott)C232003-05-29No212 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Zayne ParekhSenators (Ott)D202006-02-15Yes179 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.96201 Lbs6 ft21.881,203,010$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trent FredericColin BlackwellKasper Halttunen25113
2Nikita NesterenkoZack OstapchukPaul Cotter25113
3Tanner LaczynskiAlexander NylanderBraeden Bowman25113
4Liam FoudyCole GuttmanVille Koivunen25113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1David SpacekNikita Novikov30113
2Declan CarlileZayne Parekh30113
3Viliam KmecNikita Novikov25122
4David SpacekDeclan Carlile15122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner LaczynskiBraeden BowmanAlexander Nylander50104
2Kasper HalttunenNikita NesterenkoTrent Frederic50104
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan CarlilePaul Cotter50014
2Zayne ParekhBraeden Bowman50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Colin BlackwellPaul Cotter50131
2Zack OstapchukTanner Laczynski50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Viliam KmecNikita Novikov50131
2Nikita NovikovViliam Kmec50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Colin Blackwell50140Viliam KmecZayne Parekh50140
2Paul Cotter50140Nikita NovikovDavid Spacek50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tanner LaczynskiAlexander Nylander50113
2Nikita NesterenkoBraeden Bowman50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Viliam KmecZayne Parekh50113
2Nikita NovikovDavid Spacek50113
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Braeden BowmanTanner LaczynskiVille KoivunenZayne ParekhDavid Spacek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul CotterColin BlackwellNikita NesterenkoViliam KmecNikita Novikov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zack Ostapchuk, Paul Cotter, Tanner LaczynskiTanner Laczynski, Braeden BowmanVille Koivunen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zayne Parekh, Viliam Kmec, Nikita NovikovViliam KmecDavid Spacek, Nikita Novikov
Tirs de pénalité
Alexander Nylander, Zayne Parekh, Braeden Bowman, Ville Koivunen, Nikita Nesterenko
Gardien
#1 : Colten Ellis, #2 : Ivan Prosvetov


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
1Draveurs11000000422110000004220000000000021.00047110016402847434303413615500.00%30100.00%07917046.47%9818353.55%579261.96%151106134407339
2IceBears11000000211000000000001100000021121.00023500164030474343014316144125.00%6183.33%07917046.47%9818353.55%579261.96%151106134407339
3Magics11000000101110000001010000000000021.000123011640234743430207220500.00%10100.00%07917046.47%9818353.55%579261.96%151106134407339
4Oceanic2020000039-61010000004-41010000035-200.00035810164040474343065212057900.00%10280.00%07917046.47%9818353.55%579261.96%151106134407339
5Wolves1010000016-5000000000001010000016-500.0001120016401247434302341720400.00%6266.67%07917046.47%9818353.55%579261.96%151106134407339
Total633000001118-73210000056-131200000612-660.500111829111640133474343015648611262713.70%26580.77%07917046.47%9818353.55%579261.96%151106134407339
_Since Last GM Reset633000001118-73210000056-131200000612-660.500111829111640133474343015648611262713.70%26580.77%07917046.47%9818353.55%579261.96%151106134407339
_Vs Conference41300000515-102110000014-320200000411-720.25058131116407547434301083239971800.00%17476.47%07917046.47%9818353.55%579261.96%151106134407339

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
66W1111829133156486112611
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
63300001118
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000056
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000612
Derniers 10 matchs
WLOTWOTL SOWSOL
330000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2713.70%26580.77%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
47434301640
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
7917046.47%9818353.55%579261.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
151106134407339


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
316Draveurs2Senators4BWSommaire du match
640Magics0Senators1BWSommaire du match
745Senators1Wolves6ALSommaire du match
956Oceanic4Senators0BLSommaire du match
1175Senators3Oceanic5ALSommaire du match
1390Senators2IceBears1AWSommaire du match



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
2039823431026632452405411615022421311211041181600421114119-5932454166611590846313197265267162065226458572418963836817.75%2965282.43%11209234151.64%1247252049.48%631125150.44%2054144219065881028529
2040633000001118-73210000056-131200000612-66111829111640133474343015648611262713.70%26580.77%07917046.47%9818353.55%579261.96%151106134407339
Total Saison régulière3281421250151516159639412216477530989849543263164657206777468509-41376963169726605252563402769878321951259626077438252224232317559142826418.49%137223982.58%85039942653.46%4966933553.20%2687494554.34%848060157374228040592109
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