Senators
GP: 82 | W: 42 | L: 36 | OTL: 4 | P: 88
GF: 305 | GA: 306 | PP%: 23.74% | PK%: 78.51%
DG: Alexandre Roberge | Morale : 75 | Moyenne d’équipe : 63
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Centre de jeu
Senators
42-36-4, 88pts
4
FINAL
1 Wolf Pack
51-22-9, 111pts
Team Stats
L1StreakL1
19-19-3Home Record29-8-4
23-17-1Away Record22-14-5
5-5-0Last 10 Games6-3-1
3.72Buts par match 4.32
3.73Buts contre par match 3.33
23.74%Pourcentage en avantage numérique23.27%
78.51%Pourcentage en désavantage numérique79.30%
Senators
42-36-4, 88pts
0
FINAL
1 Bruins
43-37-2, 88pts
Team Stats
L1StreakW2
19-19-3Home Record26-14-1
23-17-1Away Record17-23-1
5-5-0Last 10 Games4-6-0
3.72Buts par match 3.50
3.73Buts contre par match 3.26
23.74%Pourcentage en avantage numérique20.88%
78.51%Pourcentage en désavantage numérique82.65%
Meneurs d'équipe
Steven LorentzButs
Steven Lorentz
5
Steven LorentzPasses
Steven Lorentz
13
Steven LorentzPoints
Steven Lorentz
18
Steven LorentzPlus/Moins
Steven Lorentz
13
Jon GilliesVictoires
Jon Gillies
32
Jet GreavesPourcentage d’arrêts
Jet Greaves
0.933

Statistiques d’équipe
Buts pour
305
3.72 GFG
Tirs pour
2973
36.26 Avg
Pourcentage en avantage numérique
23.7%
61 GF
Début de zone offensive
39.6%
Buts contre
306
3.73 GAA
Tirs contre
3059
37.30 Avg
Pourcentage en désavantage numérique
78.5%
52 GA
Début de la zone défensive
41.2%
Information d’équipe

Directeur généralAlexandre Roberge
EntraîneurNolan Pratt
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,997
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 80
Espoirs23


Historique d'équipe

Saison actuelle42-36-4 (88PTS)
Historique202-180-34 (0.486%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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
1Jonatan Berggren (R)0XX100.00613691707282876863646962716365075660232950,000$
2Ryan Reaves0X100.00908981658575876257615856598476075650361999,999$
3Dryden Hunt0XX100.008045776273798763646260616369710756402811,143,000$
4Samuel Walker (R)0XX100.00573689686881716669616759656466075630243950,000$
5Tye Kartye (R)0X100.00644171657385736466636562656264075630223950,000$
6Josh Dunne (R)0X100.00794369588986795971585963576567075620251925,000$
7Tyler Angle (R)0X100.00573686656480866361586259666365075620231925,000$
8Adam Brooks (R)0X100.006037886370767564696158596267690756202711,200,000$
9Jack Drury (R)0X100.00573778636784876186626065636465075620232950,000$
10Marc McLaughlin (R)0X100.00663979627577745963586457626566075620242950,000$
11Nate Sucese (R)0X100.00553788596475805758565652556769075590271925,000$
12Ben Hutton0X100.006149876684867665307162685473700756603011,000,000$
13Nick Blankenburg (R)0X100.00733385696589676530706470546466075650253950,000$
14Simon Edvinsson (R)0X100.00804370679484716530626668536062075650203950,000$
15Arber Xhekaj (R)0X100.00848655659486696430666357526162075640223950,000$
16Filip Roos (R)0X100.00713987618483696330625961506466075630243950,000$
17Victor Soderstrom (R)0X100.00603879666985836530675861506264075630221925,000$
18Ryan Merkley (R)0X100.00613974667283846430635456496365075610231925,000$
19Wyatt Kalynuk (R)0X100.00704168657376826330605355476668075610261925,000$
Rayé
1Ben Meyers (R)0X100.00613791637180736280646061636567075630253950,000$
2Hunter McKown (R)0X100.00623679627880615973605058556061075590213950,000$
3Carter Savoie (R)0X100.00593886546876685354515552546163075570213950,000$
4Calle Rosen0X100.00553593687586806530706866586870075660291850,000$
5Jerad Rosburg (R)0X100.00684267557767745430575156456769075580271925,000$
MOYENNE D’ÉQUIPE100.0066438064758177625162606057656707563
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
1Clay Stevenson (R)100.0076555685757476757476756471075650243950,000$
2Jon Gillies100.0073616297727173727173726983075650294950,000$
Rayé
1Jaxson Stauber (R)100.0073646578727173727173726471075630243950,000$
2Jet Greaves100.0074676871737274737274736267075630222725,000$
MOYENNE D’ÉQUIPE100.007462638373727473727473657307564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Nolan Pratt65747767726778CAN482750,000$


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
1Jonatan BerggrenSenators (OTT)LW/RW673442761320211933238326010.53%24163924.47713204917802262148248.75%64200010.9302000460
2Samuel WalkerSenators (OTT)C/RW663428629120681362837519112.01%16117717.838816411201011269251.89%95000021.0501000621
3Simon EdvinssonSenators (OTT)D57749562174014979118441165.93%87121021.2331417641410111113100.00%000000.9300000430
4Calle RosenSenators (OTT)D621442561824063108167491038.38%98149224.086814751810223140310.00%000000.7500000411
5Dryden HuntSenators (OTT)C/LW6625305573201351541855311413.51%17138020.9131114321721122884151.09%169300020.8002000343
6Ben MeyersSenators (OTT)C592030502140441311794212411.17%897016.4532513600002462257.56%102500021.0300000341
7Ryan ReavesSenators (OTT)RW6520305015460250891564614012.82%11147922.765383215510111411046.15%32500000.6802000045
8Filip RoosSenators (OTT)D671132434160735888325512.50%64121618.154711271030002101400.00%000000.7100000202
9Nick BlankenburgSenators (OTT)D5410304016340956294298110.64%7398018.1539124594101275100.00%000000.8200000122
10Tyler AngleSenators (OTT)C6717223913408901494610711.41%796914.4722418701012542244.44%14400000.8000000231
11Josh DunneSenators (OTT)C6716203616561019688162441189.88%1498414.7000000000041153.15%65100000.7300002254
12Arber XhekajSenators (OTT)D827283578152145960204411.67%56110313.46101113700015720100.00%100000.6300001011
13Adam BrooksSenators (OTT)C67102131-22556886145411056.90%898114.652911271230002571051.69%17800000.6300010221
14Victor SoderstromSenators (OTT)D617202712260606761214611.48%5596015.741342157000167000.00%000000.5600000113
15Marc McLaughlinSenators (OTT)C37159249100303782295218.29%455815.10314952000003143.02%8600000.8600000221
16Ben HuttonSenators (OTT)D2731720226061655022366.00%4067925.181452882000073000.00%000000.5900000200
17Jack DrurySenators (OTT)C627132044013617124419.86%54697.571121127000053058.00%50000000.8500000110
18Steven LorentzSenatorsC/LW/RW17513181312028305714368.77%431418.5311212270001160161.19%6700001.1400000002
19Ryan MerkleySenators (OTT)D301141581553121115119.09%4145515.18022420000046000.00%000000.6600100010
20Wyatt KalynukSenators (OTT)D6101010-91808224185150.00%215799.4900000000028000.00%000000.3500000000
21Nate SuceseSenators (OTT)LW234489006102021020.00%125010.89011330000090057.14%2100000.6400000002
22Carter SavoieSenators (OTT)LW1501146085201090.00%024916.64011115000010037.50%800000.0800000000
23Tye KartyeSenators (OTT)LW910120010814427.14%3768.5400005000030050.00%200000.2600000000
24Hunter McKownSenators (OTT)C35000-200124030.00%0421.21000130001170056.52%2300000.0000000000
25Jake NeighboursSenatorsLW7000000011000.00%040.580000000013000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne123026850577321052725171416642518740181910.64%6572022716.445410015452417645611291393451352.42%631600070.7607113394230
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
1Jon GilliesSenators (OTT)54321720.9073.02301812115216320000.7147540104
2Clay StevensonSenators (OTT)167410.9053.1869800373910000.00001050001
3Jet GreavesSenators (OTT)30100.9331.48122003450000.0000013000
Statistiques d’équipe totales ou en moyenne73392230.9073.00384012119220680000.71476463105


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 restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam Brooks (contrat à 1 volet)Senators (OTT)C275/6/1996Yes179 Lbs6 ft0NoNoNo1Pro & Farm1,200,000$1,200,000$1,200,000$0$NoLien / Lien NHL
Arber XhekajSenators (OTT)D221/30/2001Yes238 Lbs6 ft4NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Ben Hutton (contrat à 1 volet)Senators (OTT)D304/20/1993No201 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$0$NoLien / Lien NHL
Ben MeyersSenators (OTT)C2511/15/1998Yes194 Lbs5 ft11NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Calle RosenSenators (OTT)D292/2/1994No188 Lbs6 ft1NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Carter SavoieSenators (OTT)LW211/23/2002Yes192 Lbs5 ft9NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Clay StevensonSenators (OTT)G243/3/1999Yes195 Lbs6 ft4NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Dryden Hunt (contrat à 1 volet)Senators (OTT)C/LW2811/24/1995No193 Lbs6 ft0NoNoNo1Pro & Farm1,143,000$1,143,000$1,143,000$0$NoLien / Lien NHL
Filip RoosSenators (OTT)D241/5/1999Yes190 Lbs6 ft4NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Hunter McKownSenators (OTT)C218/18/2002Yes205 Lbs6 ft1NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Jack DrurySenators (OTT)C232/3/2000Yes174 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jaxson StauberSenators (OTT)G244/27/1999Yes174 Lbs6 ft3NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Jerad RosburgSenators (OTT)D276/18/1996Yes200 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Jet GreavesSenators (OTT)G223/30/2001No184 Lbs6 ft0NoNoNo2Pro & Farm725,000$725,000$0$0$No725,000$Lien / Lien NHL
Jon GilliesSenators (OTT)G291/22/1994No223 Lbs6 ft6NoNoNo4Pro & Farm950,000$950,000$0$0$No1,091,000$1,091,000$1,091,000$Lien / Lien NHL
Jonatan BerggrenSenators (OTT)LW/RW237/16/2000Yes197 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Josh DunneSenators (OTT)C2512/8/1998Yes211 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Marc McLaughlinSenators (OTT)C247/26/1999Yes203 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Nate SuceseSenators (OTT)LW277/12/1996Yes174 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Nick BlankenburgSenators (OTT)D255/12/1998Yes177 Lbs5 ft9NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Ryan MerkleySenators (OTT)D238/14/2000Yes186 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Ryan ReavesSenators (OTT)RW361/20/1987No225 Lbs6 ft2NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Samuel WalkerSenators (OTT)C/RW246/7/1999Yes180 Lbs5 ft10NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Simon EdvinssonSenators (OTT)D202/5/2003Yes209 Lbs6 ft6NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Tye KartyeSenators (OTT)LW224/30/2001Yes202 Lbs5 ft11NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Tyler AngleSenators (OTT)C239/30/2000Yes166 Lbs5 ft10NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Victor SoderstromSenators (OTT)D222/26/2001Yes184 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Wyatt KalynukSenators (OTT)D264/14/1997Yes180 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.86194 Lbs6 ft12.04951,536$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonatan BerggrenDryden HuntRyan Reaves40122
2Tye KartyeSamuel WalkerAdam Brooks30122
3Nate SuceseTyler AngleJosh Dunne20122
4Jonatan BerggrenAdam BrooksRyan Reaves10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HuttonNick Blankenburg40122
2Simon EdvinssonArber Xhekaj30122
3Victor SoderstromFilip Roos20122
4Ryan MerkleyWyatt Kalynuk10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonatan BerggrenDryden HuntRyan Reaves60122
2Tye KartyeSamuel WalkerAdam Brooks40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HuttonNick Blankenburg60122
2Simon EdvinssonArber Xhekaj40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jonatan BerggrenRyan Reaves60122
2Dryden HuntTye Kartye40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HuttonNick Blankenburg60122
2Simon EdvinssonArber Xhekaj40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonatan Berggren60122Ben HuttonNick Blankenburg60122
2Ryan Reaves40122Simon EdvinssonArber Xhekaj40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonatan BerggrenRyan Reaves60122
2Dryden HuntTye Kartye40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HuttonNick Blankenburg60122
2Simon EdvinssonArber Xhekaj40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonatan BerggrenDryden HuntRyan ReavesBen HuttonNick Blankenburg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonatan BerggrenDryden HuntRyan ReavesBen HuttonNick Blankenburg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Drury, Marc McLaughlin, Tyler AngleJack Drury, Marc McLaughlinTyler Angle
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Soderstrom, Filip Roos, Ryan MerkleyVictor SoderstromFilip Roos, Ryan Merkley
Tirs de pénalité
Jonatan Berggren, Ryan Reaves, Dryden Hunt, Tye Kartye, Samuel Walker
Gardien
#1 : Jon Gillies, #2 : Clay Stevenson
Lignes d’attaque personnalisées en prolongation
Jonatan Berggren, Ryan Reaves, Dryden Hunt, Tye Kartye, Samuel Walker, Tyler Angle, Tyler Angle, Adam Brooks, Josh Dunne, Jack Drury, Marc McLaughlin
Lignes de défense personnalisées en prolongation
Ben Hutton, Nick Blankenburg, Simon Edvinsson, Arber Xhekaj, Victor Soderstrom


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
1Admirals220000001082110000005411100000054141.0001019290011010585585993100096126691912528112.50%6266.67%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
2Americans403000011118-720100001710-32020000048-410.12511162700110105855130993100096126186573210011218.18%14564.29%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
3Barracuda211000009451010000023-11100000071620.500917260011010585556993100096126512212423133.33%60100.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
4Bears32100000121111010000035-22200000096340.667122335001101058551129931000961261292914725120.00%6183.33%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
5Bruins312000005501010000002-22110000053220.333510150011010585569993100096126842516717114.29%70100.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
6Checkers4310000024101421100000115622000000135860.750244266011101058551949931000961269434148810220.00%70100.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
7Comets21100000912-31010000026-41100000076120.5009162500110105855719931000961261293110534250.00%4325.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
8Condors2010100048-4100010003211010000016-520.50048120011010585560993100096126591812476116.67%6350.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
9Crunch403010001319-620200000511-62010100088020.250132235001101058551349931000961261845034928337.50%15566.67%11452290350.02%1373302045.46%659140446.94%1925135119815851038509
10Devils3300000016882200000012571100000043161.00016314700110105855121993100096126993943731119.09%8187.50%11452290350.02%1373302045.46%659140446.94%1925135119815851038509
11Eagles2010000137-41000000134-11010000003-310.250369001101058557599310009612663204496233.33%2150.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
12Firebirds220000001037110000005141100000052341.0001020300011010585574993100096126671614418337.50%60100.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
13Griffins413000001320-720200000716-92110000064220.250132336001101058551689931000961261823918981218.33%9366.67%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
14Gulls211000001011-1110000007611010000035-220.500102030001101058558599310009612679151045800.00%5180.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
15IceHogs211000001082110000006331010000045-120.5001015250011010585574993100096126692414387342.86%7357.14%11452290350.02%1373302045.46%659140446.94%1925135119815851038509
16Marlies412010001217-52100100064220200000613-740.500122335001101058551399931000961261513910918225.00%5180.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
17Monsters311001001011-11000010034-12110000077030.50010182800110105855989931000961269927376916425.00%14378.57%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
18Moose21100000770110000003211010000045-120.5007142100110105855809931000961264813105110330.00%5180.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
19Penguins31101000913-4210010008621010000017-640.6679172600110105855979931000961261534227679333.33%10190.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
20Phantoms32100000131031010000037-422000000103740.667132336001101058559399310009612613742227410330.00%110100.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
21Reign211000009811010000067-11100000031220.50091827001101058558399310009612670281056800.00%4175.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
22Roadrunners2020000025-31010000012-11010000013-200.00024600110105855629931000961265521843500.00%3166.67%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
23Rocket312000001214-220200000711-41100000053220.33312223400110105855949931000961269624206612216.67%10460.00%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
24Silver Knights2010100057-21010000014-31000100043120.50051015001101058556399310009612651141661100.00%8187.50%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
25Sound Tigers311001001314-11100000042220100100912-330.500132437001101058551229931000961261113224629222.22%9277.78%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
26Stars211000007521010000024-21100000051420.500714210011010585568993100096126813312378112.50%6266.67%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
27Thunderbirds211000008711010000034-11100000053220.500814220011010585570993100096126822630387571.43%14378.57%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
28Wild21100000610-41010000028-61100000042220.5006111700110105855549931000961261103214517342.86%6183.33%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
29Wolf Pack3300000014862200000010731100000041361.000142539001101058551179931000961268628287014428.57%14192.86%21452290350.02%1373302045.46%659140446.94%1925135119815851038509
30Wolves32100000913-4220000008531010000018-740.667914230011010585512899310009612611129206612325.00%9188.89%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
31Wranglers220000001055110000005321100000052341.0001018280011010585597993100096126741912527228.57%6183.33%01452290350.02%1373302045.46%659140446.94%1925135119815851038509
Total82373605202305306-141161903102150163-134121170210015514312880.537305557862011101058552973993100096126305988755919152576123.74%2425278.51%51452290350.02%1373302045.46%659140446.94%1925135119815851038509
_Since Last GM Reset82373605202305306-141161903102150163-134121170210015514312880.537305557862011101058552973993100096126305988755919152576123.74%2425278.51%51452290350.02%1373302045.46%659140446.94%1925135119815851038509
_Vs Conference4521190310118017372310100200191883221190110089854500.556180328508011101058551645993100096126175649931010371323022.73%1272679.53%41452290350.02%1373302045.46%659140446.94%1925135119815851038509
_Vs Division268110200190103-131346010014359-1613450100047443210.4049015824801110105855928993100096126977268144606681319.12%671873.13%11452290350.02%1373302045.46%659140446.94%1925135119815851038509

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8288L130555786229733059887559191501
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8237365202305306
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116193102150163
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4121172100155143
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2576123.74%2425278.51%5
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
993100096126110105855
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
1452290350.02%1373302045.46%659140446.94%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1925135119815851038509


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
2 - 2023-10-114Senators1Wolves8ALSommaire du match
5 - 2023-10-1419Phantoms7Senators3BLSommaire du match
6 - 2023-10-1533Crunch6Senators2BLSommaire du match
9 - 2023-10-1849Bears5Senators3BLSommaire du match
12 - 2023-10-2165Griffins8Senators3BLSommaire du match
15 - 2023-10-2485Americans6Senators4BLSommaire du match
17 - 2023-10-26107Senators5Sound Tigers6ALXSommaire du match
19 - 2023-10-28123Senators1Penguins7ALSommaire du match
24 - 2023-11-02149Reign7Senators6BLSommaire du match
26 - 2023-11-04163Crunch5Senators3BLSommaire du match
30 - 2023-11-08190Senators4Marlies8ALSommaire du match
31 - 2023-11-09197Comets6Senators2BLSommaire du match
33 - 2023-11-11213Wranglers3Senators5BWSommaire du match
38 - 2023-11-16242Griffins8Senators4BLSommaire du match
40 - 2023-11-18254Wild8Senators2BLSommaire du match
46 - 2023-11-24302Sound Tigers2Senators4BWSommaire du match
49 - 2023-11-27323Checkers0Senators8BWSommaire du match
53 - 2023-12-01354Senators4Monsters3AWSommaire du match
54 - 2023-12-02362Firebirds1Senators5BWSommaire du match
57 - 2023-12-05382Wolf Pack3Senators5BWSommaire du match
59 - 2023-12-07395Marlies2Senators3BWSommaire du match
61 - 2023-12-09412Senators1Griffins3ALSommaire du match
64 - 2023-12-12433Wolves3Senators4BWSommaire du match
66 - 2023-12-14451Senators5Thunderbirds3AWSommaire du match
67 - 2023-12-15458Senators5Stars1AWSommaire du match
69 - 2023-12-17477Senators4Silver Knights3AWXSommaire du match
71 - 2023-12-19493Senators1Roadrunners3ALSommaire du match
73 - 2023-12-21507Senators0Eagles3ALSommaire du match
75 - 2023-12-23520Penguins2Senators3BWXSommaire du match
79 - 2023-12-27531Senators2Marlies5ALSommaire du match
81 - 2023-12-29549Devils2Senators6BWSommaire du match
83 - 2023-12-31566Americans4Senators3BLXXSommaire du match
85 - 2024-01-02584Senators7Comets6AWSommaire du match
87 - 2024-01-04598Senators5Firebirds2AWSommaire du match
89 - 2024-01-06616Senators1Condors6ALSommaire du match
92 - 2024-01-09634Senators5Wranglers2AWSommaire du match
94 - 2024-01-11638Senators2Americans4ALSommaire du match
96 - 2024-01-13655Barracuda3Senators2BLSommaire du match
99 - 2024-01-16682Eagles4Senators3BLXXSommaire du match
101 - 2024-01-18693Rocket5Senators3BLSommaire du match
103 - 2024-01-20709Moose2Senators3BWSommaire du match
104 - 2024-01-21718Senators6Phantoms1AWSommaire du match
106 - 2024-01-23731Senators5Rocket3AWSommaire du match
108 - 2024-01-25749Bruins2Senators0BLSommaire du match
110 - 2024-01-27766Wolf Pack4Senators5BWSommaire du match
112 - 2024-01-29775Admirals4Senators5BWSommaire du match
114 - 2024-01-31778Senators5Griffins1AWSommaire du match
124 - 2024-02-10813Marlies2Senators3BWXSommaire du match
127 - 2024-02-13826Monsters4Senators3BLXSommaire du match
129 - 2024-02-15841Gulls6Senators7BWSommaire du match
131 - 2024-02-17851Senators4IceHogs5ALSommaire du match
133 - 2024-02-19875Senators5Crunch4AWXSommaire du match
134 - 2024-02-20876Senators9Checkers2AWSommaire du match
136 - 2024-02-22892Stars4Senators2BLSommaire du match
138 - 2024-02-24911Silver Knights4Senators1BLSommaire du match
140 - 2024-02-26923Senators5Bears3AWSommaire du match
141 - 2024-02-27933Senators5Admirals4AWSommaire du match
144 - 2024-03-01953Roadrunners2Senators1BLSommaire du match
145 - 2024-03-02962Senators4Phantoms2AWSommaire du match
149 - 2024-03-06992Senators3Gulls5ALSommaire du match
150 - 2024-03-071003Senators3Reign1AWSommaire du match
152 - 2024-03-091014Senators7Barracuda1AWSommaire du match
155 - 2024-03-121034Penguins4Senators5BWSommaire du match
157 - 2024-03-141047Senators3Monsters4ALSommaire du match
159 - 2024-03-161060Senators4Sound Tigers6ALSommaire du match
160 - 2024-03-171077Wolves2Senators4BWSommaire du match
162 - 2024-03-191082Senators5Bruins2AWSommaire du match
164 - 2024-03-211103Thunderbirds4Senators3BLSommaire du match
166 - 2024-03-231117Senators4Devils3AWSommaire du match
167 - 2024-03-241128Condors2Senators3BWXSommaire du match
170 - 2024-03-271148Senators2Americans4ALSommaire du match
171 - 2024-03-281153IceHogs3Senators6BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2024-03-301170Senators4Moose5ALSommaire du match
176 - 2024-04-021193Senators4Wild2AWSommaire du match
178 - 2024-04-041205Checkers5Senators3BLSommaire du match
180 - 2024-04-061224Devils3Senators6BWSommaire du match
181 - 2024-04-071232Senators4Bears3AWSommaire du match
183 - 2024-04-091241Senators4Checkers3AWSommaire du match
185 - 2024-04-111259Senators3Crunch4ALSommaire du match
187 - 2024-04-131276Rocket6Senators4BLSommaire du match
189 - 2024-04-151292Senators4Wolf Pack1AWSommaire du match
190 - 2024-04-161295Senators0Bruins1ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2010
Assistance81,88441,000
Assistance PCT99.86%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2997 - 99.91% 62,429$2,559,600$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,837,762$ 2,330,000$ 1,890,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,135$ 2,076,474$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 16,042$ 0$




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
1Dryden Hunt2191001002003410849054772113.87%57446720.4015274273224820649.44%40.9005
2Ryan Reaves227701101803218786235568010.29%52535723.60142337106213109249.93%10.6737
3Tyler Angle194629115338187435556211.03%36320416.52719266510127754.82%10.9502
4Calle Rosen1402910913820802162383378.61%208330123.581423371571344720.00%00.8400
5Alex Chiasson1615975134454914621754810.77%48356322.1413203310603349145.77%20.7534

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
1Jon Gillies79442430.9053.12435118122623900200.7147
2Joey Daccord37191020.8863.6818580011410010101.0003
3Anton Forsberg2615810.9063.40143181818580100.5717
4Clay Stevenson167410.9053.1869800373910000.0000
5Jet Greaves30100.9331.48122003450000.0000

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
2382244505602258314-5641132202301115155-4041112303301143159-1666258464722228886796286993197094234299689765021372526124.21%3006179.67%21588304952.08%1531299351.15%713131754.14%2037142718905761026523
23824327071223212576441191505110158133254124120201216312439107321590911131191108314313910191027105561286974756420222675721.35%2464282.93%41731316554.69%1604312151.39%681131151.95%2050145718735801033528
202282313902433304313-9412015012301611342741112401203143179-367930454584911120899093003950982103653304086066520362185726.15%2827174.82%11644296955.37%1626307552.88%735137953.30%1963136419555881048525
2022823633066103323293412213024001631471641142004210169182-139233260894010131100947296095199298931283985362520142427932.64%2616077.01%51571299452.47%1458281951.72%748145551.41%2052144018495741051534
202382373605202305306-141161903102150163-13412117021001551431288305557862011101058552973993100096126305988755919152576123.74%2425278.51%51452290350.02%1373302045.46%659140446.94%1925135119815851038509
Total Saison régulière410171180025196915201519120590840131143747732152058196012826773787-14432152027644284575684904314114944484449714983205148034244306310124123631525.49%133128678.51%1779861508052.96%75921502850.52%3536686651.50%1002970409550290651972622

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

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