Connexion

Senateurs
GP: 82 | W: 52 | L: 25 | OTL: 5 | P: 109
GF: 298 | GA: 252 | PP%: 21.38% | PK%: 82.56%
DG: Claude-Etienne Landry | Morale : 94 | Moyenne d’équipe : 69
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Centre de jeu
Islanders
41-31-10, 92pts
3
FINAL
8 Senateurs
52-25-5, 109pts
Team Stats
W1StreakL1
23-13-5Home Record26-14-1
18-18-5Away Record26-11-4
5-4-1Last 10 Games4-6-0
3.26Buts par match 3.63
3.27Buts contre par match 3.07
18.39%Pourcentage en avantage numérique21.38%
85.37%Pourcentage en désavantage numérique82.56%
Penguins
56-21-5, 117pts
5
FINAL
1 Senateurs
52-25-5, 109pts
Team Stats
W4StreakL1
29-9-3Home Record26-14-1
27-12-2Away Record26-11-4
9-1-0Last 10 Games4-6-0
3.72Buts par match 3.63
3.10Buts contre par match 3.07
21.91%Pourcentage en avantage numérique21.38%
80.37%Pourcentage en désavantage numérique82.56%
Meneurs d'équipe
Buts
Bobby Farnham
37
Passes
Landon Ferraro
55
Points
Landon Ferraro
89
Plus/Moins
Bobby Farnham
31
Victoires
Louis Domingue
41
Pourcentage d’arrêts
Louis Domingue
0.912

Statistiques d’équipe
Buts pour
298
3.63 GFG
Tirs pour
2725
33.23 Avg
Pourcentage en avantage numérique
21.4%
59 GF
Début de zone offensive
38.4%
Buts contre
252
3.07 GAA
Tirs contre
2677
32.65 Avg
Pourcentage en désavantage numérique
82.6%
49 GA
Début de la zone défensive
39.0%
Informations de l'équipe

Directeur généralClaude-Etienne Landry
EntraîneurBrad Shaw
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,908
Billets de saison2,100


Informations de la formation

Équipe Pro37
Équipe Mineure18
Limite contact 55 / 60
Espoirs36


Historique d'équipe

Saison actuelle52-25-5 (109PTS)
Historique191-112-30 (0.574%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-4
Coupe Stanley0


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
1Landon Ferraro (R)X99.0085575870727691956677789556706759777603032,500,000$
2Joel Eriksson Ek (R)X100.008238897485878973827172836968737972730252800,000$
3Alexandre Grenier (R)X100.00886151677776839787574705571643974710301700,000$
4Sonny Milano (R)X100.005940836774778084567981645281598079710251575,000$
5Tyler Motte (R)X100.009035936672778171586866896472685579700272600,000$
6Denis Malgin (R)X100.005929937570738180687874706677595679700252600,000$
7Nick Paul (R)X100.008342866887828865797064786572685870690271575,000$
8Alex Formenton (R)X100.006935917879848070596771756965677180690223900,000$
9Bobby Farnham (R)X100.009060396771385282547879736984803679690331575,000$
10Gemel Smith (R)X100.007049686573616877707673785270575580680282575,000$
11David Kampf (R)X100.006240886374748466816860866273714179670273700,000$
12Matthew Peca (R)X100.005439866469787769746864726475685834650292600,000$
13Jamie Oleksiak (R)X100.0090576565898085943086937452807368797702921,250,000$
14Jonas Siegenthaler (R)X100.007046756481827970307658924867666862720241863,333$
15Miro Heiskanen (R)X100.005333948174908981308173765564668880720221894,166$
16Ben Harpur (R)X100.007966836499777863306654725072675771690272575,000$
17Cameron Gaunce (R)X100.005643896277787367307060685381715439650322575,000$
18Sebastian Aho (R)X100.005737886967807667306770565968665354640261575,000$
Rayé
1Alexandre Texier (R)X81.586638888274818473787167697564677667690221897,500$
2Nathan Bastian (R)X100.009677846287838461636762716367647220660241925,000$
3Alexander Volkov (R)X100.007235926876807970556667687267637120660242864,167$
4Carl Grundstrom (R)X100.008342856675847865586467656866677120650241925,000$
5Isac Lundestrom (R)X100.005635926872888267786564696663658139650221925,000$
6Ross Johnston (R)X100.008080686686665870507064715756553920640283575,000$
7Brett Murray (R)X100.008375796295767763576261646365666220640233775,000$
8MacKenzie Entwistle (R)X100.007239876780798266616463656763626820640223811,667$
9Max Jones (R)X100.006739846379767562465957716265678120620241863,333$
10Rem Pitlick (R)X100.005739876272847365746263566467656620620251925,000$
11Kole Sherwood (R)X100.008655716280697063566261636267644320620253750,000$
12Chris Wideman (R)X94.2757339170715874992598937162776542707303221,000,000$
13Tim Erixon (R)X100.004716996675607060517355706185845420640313575,000$
14Mattias Samuelsson (R)X100.007768895992787158306456674861637719640223925,000$
15Alec Regula (R)X100.005835956388797764306057635261647220630213866,667$
16Andreas Englund (R)X100.006149845876787762306057655168657320620262575,000$
MOYENNE D’ÉQUIPE99.24714682677876787252706772607066625067
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
1Louis Domingue (R)100.008974948389999999998859857944788803013,000,000$
2Jake Oettinger (R)100.00799089947882848382797866708180810233925,000$
Rayé
1Scott Wedgewood (R)100.00738584828094908787717277835220810291700,000$
MOYENNE D’ÉQUIPE100.0080838986829291908979707677595983
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Shaw65867761937272CAN561900,000$


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
1Landon FerraroSenateurs (OTT)C793455894217852132032858515011.93%42160420.31920294622201181948145.74%22323935201.1107583165
2Alexandre GrenierSenateurs (OTT)RW7433407311124302111052387115313.87%38143819.44121325382131128897217.39%1154522101.0146222632
3Sonny MilanoSenateurs (OTT)LW81363672328101161072376014015.19%43152818.87101525402330004853244.07%1182917200.9413101324
4Chris WidemanSenateurs (OTT)D791951708806116020487819.31%113189824.04111425442480005253410.00%06855000.7400000255
5Denis MalginSenateurs (OTT)RW82323870-7801051063198718310.03%36145517.755813321861013266242.72%1034914100.9611000635
6Bobby FarnhamSenateurs (OTT)RW8137326931680202882226412516.67%21104112.86314935000014145.87%109329111.3200000757
7Joel Eriksson EkSenateurs (OTT)C70233053-32751262291784811112.92%41142820.413691417000012054051.85%13482421000.7415001145
8Miro HeiskanenSenateurs (OTT)D8274148161153813613855605.07%96178921.82145141800111184200.00%04044000.5400100135
9Jamie OleksiakSenateurs (OTT)D758394791222021011913657535.88%82176823.5841317242160003200000.00%03646000.5300400421
10Alexandre TexierSenateurs (OTT)C53171532211406094111314615.32%1569813.180001110110534048.29%5842112000.9200000340
11Alex FormentonSenateurs (OTT)LW771216282480697412233749.84%2695112.361012150001171160.00%45199000.5900000013
12Tyler MotteSenateurs (OTT)LW8271926-212017810311637596.03%29152418.5905571812024872031.82%881828000.3400000122
13Nick PaulSenateurs (OTT)C73814226155809165234612.31%2880110.98000080110740150.44%456812000.5500001132
14Jonas SiegenthalerSenateurs (OTT)D7831922215751261226128284.92%85163420.9602221540110144000.00%0756000.2700010001
15Gemel SmithSenateurs (OTT)RW799817-22801024711327777.96%116408.11000050001230144.74%381615100.5300000100
16Ben HarpurSenateurs (OTT)D820161604515108803516230.00%74126115.39000025000022000.00%0631000.2500210000
17David KampfSenateurs (OTT)LW78437380324740111410.00%215727.3400000000030157.89%19211000.2400000000
18Sebastian AhoSenateurs (OTT)D49066-1802339347120.00%3375915.5000001000030000.00%01817000.1600000000
19Cameron GaunceSenateurs (OTT)D42044517531482013120.00%3071316.98000031000156000.00%01024000.1100001001
20Isac LundestromSenateurs (OTT)C251346551228205125.00%426410.57000000001131043.67%15833000.3000001010
21Alexander VolkovSenateurs (OTT)RW11314100451331123.08%0837.610000000000100.00%302000.9600000000
22Matthew PecaSenateurs (OTT)C28011-100101713870.00%42127.6000000000060054.88%8221000.0900000000
23Carl GrundstromSenateurs (OTT)RW1000000001010.00%066.080000000000000.00%010000.0000000000
24Ross JohnstonSenateurs (OTT)LW100000001933250.00%1898.9700000000000040.00%501000.0000000000
25Mattias SamuelssonSenateurs (OTT)D5000355661340.00%37314.660000100002000.00%013000.0000010000
Statistiques d’équipe totales ou en moyenne1476293487780156835195214220572725861148710.75%8762424216.425910116027321454610411775471347.19%5503494488810.64722151310374448
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
1Louis DomingueSenateurs (OTT)67411940.9122.853919421862124853310.818226517666
2Jake OettingerSenateurs (OTT)2011610.8863.6510350063552257300.00001765300
Statistiques d’équipe totales ou en moyenne87522550.9073.0249544224926761110610.818228282966


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 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
Alec RegulaSenateurs (OTT)D212000-08-06 14:20:17Yes207 Lbs6 ft4NoNoNo3Pro & Farm866,667$4,538$0$0$No866,667$866,667$
Alex FormentonSenateurs (OTT)LW221999-09-13 05:14:28Yes165 Lbs6 ft2NoNoNo3Pro & Farm900,000$4,712$0$0$No900,000$900,000$
Alexander VolkovSenateurs (OTT)RW241997-08-02 10:19:34Yes192 Lbs6 ft1NoNoNo2Pro & Farm864,167$4,524$0$0$No864,167$
Alexandre GrenierSenateurs (OTT)RW301991-09-05 23:11:13Yes202 Lbs6 ft5NoNoNo1Pro & Farm700,000$3,665$0$0$No
Alexandre Texier (sur la masse salariale)Senateurs (OTT)C221999-09-13 04:56:56Yes187 Lbs6 ft0NoNoNo1Pro & Farm897,500$4,699$0$0$No
Andreas EnglundSenateurs (OTT)D261996-01-21 12:32:58Yes189 Lbs6 ft3NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Ben HarpurSenateurs (OTT)D271995-01-12 12:35:07Yes223 Lbs6 ft6NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Bobby FarnhamSenateurs (OTT)RW331989-01-21 05:11:13Yes188 Lbs5 ft10NoNoNo1Pro & Farm575,000$3,010$0$0$No
Brett MurraySenateurs (OTT)LW231998-07-20 14:22:09Yes216 Lbs6 ft4NoNoNo3Pro & Farm775,000$4,058$0$0$No775,000$775,000$
Cameron GaunceSenateurs (OTT)D321990-03-19 13:14:56Yes204 Lbs6 ft2NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Carl GrundstromSenateurs (OTT)RW241997-12-01 04:49:55Yes201 Lbs6 ft0NoNoNo1Pro & Farm925,000$4,843$0$0$No
Chris Wideman (sur la masse salariale)Senateurs (OTT)D321990-01-07 17:11:13Yes183 Lbs5 ft10NoNoNo2Pro & Farm1,000,000$5,236$0$0$No1,000,000$
David KampfSenateurs (OTT)LW271995-01-12 05:37:53Yes188 Lbs6 ft2NoNoNo3Pro & Farm700,000$3,665$0$0$No700,000$700,000$
Denis MalginSenateurs (OTT)RW251997-01-18 04:18:34Yes177 Lbs5 ft9NoNoNo2Pro & Farm600,000$3,141$0$0$No600,000$
Gemel SmithSenateurs (OTT)RW281994-04-16 12:38:52Yes194 Lbs5 ft10NoNoNo2Pro & Farm575,000$3,010$0$0$No575,000$
Isac LundestromSenateurs (OTT)C221999-11-06 05:03:37Yes187 Lbs6 ft0NoNoNo1Pro & Farm925,000$4,843$0$0$No
Jake OettingerSenateurs (OTT)G231998-12-18 14:31:28Yes225 Lbs6 ft5NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Jamie OleksiakSenateurs (OTT)D291992-12-21 05:11:13Yes255 Lbs6 ft7NoNoNo2Pro & Farm1,250,000$6,545$0$0$No1,250,000$
Joel Eriksson EkSenateurs (OTT)C251997-01-29 12:40:45Yes208 Lbs6 ft1NoNoNo2Pro & Farm800,000$4,188$0$0$No800,000$
Jonas SiegenthalerSenateurs (OTT)D241997-05-06 05:01:22Yes206 Lbs6 ft3NoNoNo1Pro & Farm863,333$4,520$0$0$No
Kole SherwoodSenateurs (OTT)RW251997-01-22 13:01:05Yes212 Lbs6 ft1NoNoNo3Pro & Farm750,000$3,927$0$0$No750,000$750,000$
Landon FerraroSenateurs (OTT)C301991-08-08 23:11:13Yes180 Lbs6 ft0NoNoNo3Pro & Farm2,500,000$13,089$0$0$No2,500,000$2,500,000$
Louis DomingueSenateurs (OTT)G301992-03-06 05:11:14Yes210 Lbs6 ft3NoNoNo1Pro & Farm3,000,000$15,707$0$0$No
MacKenzie EntwistleSenateurs (OTT)RW221999-07-14 14:25:30Yes183 Lbs6 ft4NoNoNo3Pro & Farm811,667$4,250$0$0$No811,667$811,667$
Matthew PecaSenateurs (OTT)C291993-04-27 05:46:27Yes182 Lbs5 ft9NoNoNo2Pro & Farm600,000$3,141$0$0$No600,000$
Mattias SamuelssonSenateurs (OTT)D222000-03-14 14:34:03Yes223 Lbs6 ft4NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Max JonesSenateurs (OTT)LW241998-02-17 04:52:50Yes220 Lbs6 ft3NoNoNo1Pro & Farm863,333$4,520$0$0$No
Miro HeiskanenSenateurs (OTT)D221999-07-18 05:06:07Yes185 Lbs6 ft1NoNoNo1Pro & Farm894,166$4,681$0$0$No
Nathan BastianSenateurs (OTT)RW241997-12-06 04:54:49Yes205 Lbs6 ft4NoNoNo1Pro & Farm925,000$4,843$0$0$No
Nick PaulSenateurs (OTT)C271995-03-20 07:21:55Yes229 Lbs6 ft4NoNoNo1Pro & Farm575,000$3,010$0$0$No
Rem PitlickSenateurs (OTT)C251997-04-02 04:58:55Yes196 Lbs5 ft11NoNoNo1Pro & Farm925,000$4,843$0$0$No
Ross JohnstonSenateurs (OTT)LW281994-02-18 05:48:53Yes235 Lbs6 ft5NoNoNo3Pro & Farm575,000$3,010$0$0$No575,000$575,000$
Scott WedgewoodSenateurs (OTT)G291992-08-14 05:11:14Yes207 Lbs6 ft2NoNoNo1Pro & Farm700,000$3,665$0$0$No
Sebastian AhoSenateurs (OTT)D261996-02-17 04:06:01Yes183 Lbs5 ft10NoNoNo1Pro & Farm575,000$3,010$0$0$No
Sonny MilanoSenateurs (OTT)LW251996-05-12 05:11:13Yes195 Lbs6 ft0NoNoNo1Pro & Farm575,000$3,010$0$0$No
Tim ErixonSenateurs (OTT)D311991-02-24 23:11:13Yes199 Lbs6 ft2NoNoNo3Pro & Farm575,000$3,010$0$0$No575,000$575,000$
Tyler MotteSenateurs (OTT)LW271995-03-10 09:15:51Yes192 Lbs5 ft10NoNoNo2Pro & Farm600,000$3,141$0$0$No600,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3726.08201 Lbs6 ft21.89871,239$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoLandon FerraroAlexandre Grenier35122
2Tyler MotteJoel Eriksson EkDenis Malgin35122
3Alex FormentonNick PaulBobby Farnham25122
4David KampfMatthew PecaGemel Smith5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie OleksiakMiro Heiskanen35122
2Jonas SiegenthalerBen Harpur35122
3Cameron GaunceSebastian Aho30122
4Jamie OleksiakMiro Heiskanen0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoLandon FerraroAlexandre Grenier60122
2Tyler MotteJoel Eriksson EkDenis Malgin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie OleksiakMiro Heiskanen60122
2Jonas SiegenthalerBen Harpur40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Landon FerraroJoel Eriksson Ek60122
2Alexandre GrenierSonny Milano40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie OleksiakMiro Heiskanen60122
2Jonas SiegenthalerBen Harpur40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Landon Ferraro60122Jamie OleksiakMiro Heiskanen60122
2Joel Eriksson Ek40122Jonas SiegenthalerBen Harpur40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Landon FerraroJoel Eriksson Ek60122
2Alexandre GrenierSonny Milano40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie OleksiakMiro Heiskanen60122
2Jonas SiegenthalerBen Harpur40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoLandon FerraroAlexandre GrenierJamie OleksiakMiro Heiskanen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sonny MilanoLandon FerraroAlexandre GrenierJamie OleksiakMiro Heiskanen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Paul, Bobby Farnham, Alex FormentonNick Paul, Bobby FarnhamAlex Formenton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Gaunce, Sebastian Aho, Jonas SiegenthalerCameron GaunceSebastian Aho, Jonas Siegenthaler
Tirs de pénalité
Landon Ferraro, Joel Eriksson Ek, Alexandre Grenier, Sonny Milano, Tyler Motte
Gardien
#1 : Louis Domingue, #2 : Jake Oettinger
Lignes d’attaque personnalisées en prolongation
Landon Ferraro, Joel Eriksson Ek, Alexandre Grenier, Sonny Milano, Tyler Motte, Denis Malgin, Denis Malgin, Nick Paul, Bobby Farnham, Alex Formenton, Gemel Smith
Lignes de défense personnalisées en prolongation
Jamie Oleksiak, Miro Heiskanen, Jonas Siegenthaler, Ben Harpur, Cameron Gaunce


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
1Avalanche312000006602020000046-21100000020220.3336121801909710112818879169034197392066400.00%50100.00%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
2Blackhawks22000000624110000003121100000031241.000681400909710112668879169034158178475120.00%40100.00%11002209847.76%1027213148.19%568124045.81%1759100817937401407705
3Blues211000006511010000012-11100000053220.5006915009097101128488791690341622526436116.67%30100.00%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
4Bruins6330000022211312000001213-132100000108260.5002235570090971011220288791690341197727417829310.34%32778.13%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
5Canadiens642000002919103300000019811312000001011-180.66729477600909710112209887916903411976574182291034.48%27581.48%11002209847.76%1027213148.19%568124045.81%1759100817937401407705
6Canucks22000000826110000005141100000031241.0008132100909710112718879169034170216495240.00%30100.00%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
7Capitals4310000013942110000057-22200000082660.75013213401909710112127887916903411326055899333.33%15286.67%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
8Devils40301000921-1220101000610-420200000311-820.2509152400909710112138887916903411443142103900.00%16475.00%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
9Ducks220000001156110000007341100000042241.000111930009097101126788791690341612516474125.00%3166.67%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
10Flames20200000510-51010000036-31010000024-200.0005101500909710112748879169034166178423266.67%4175.00%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
11Flyers430000101679210000109452200000073481.0001625410090971011213088791690341134402912014535.71%120100.00%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
12Islanders43000001191182200000012572100000176170.8751936550090971011214188791690341142473710910110.00%16381.25%11002209847.76%1027213148.19%568124045.81%1759100817937401407705
13Kings21000010954100000104311100000052341.00091221009097101126888791690341692063611100.00%3166.67%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
14Maple Leafs6010202124240301020001314-1300000211110190.75024376100909710112197887916903412016610117034720.59%28678.57%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
15Oilers220000001257110000007341100000052341.00012213300909710112688879169034155141047300.00%50100.00%11002209847.76%1027213148.19%568124045.81%1759100817937401407705
16Penguins40400000920-1120200000411-72020000059-400.00091524009097101121308879169034112634291128225.00%12466.67%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
17Predators330000001147110000003122200000083561.000111526009097101121038879169034199331278500.00%50100.00%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
18Rangers622002001824-631200000511-6310002001313060.5001829470090971011218988791690341188578816017317.65%19384.21%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
19Red Wings641000102516932100000972320000101697100.8332541661090971011217088791690341203668417331929.03%27581.48%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
20Sabres632001001518-332000100108231200000510-570.5831524390090971011219088791690341176649216139615.38%31680.65%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
21Sharks20101000990100010006511010000034-120.500918270090971011280887916903416927833400.00%40100.00%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
22Stars22000000844110000003121100000053241.0008111900909710112688879169034165208454125.00%4175.00%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
23Wild21001000853110000004221000100043141.0008142200909710112728879169034166166523133.33%30100.00%01002209847.76%1027213148.19%568124045.81%1759100817937401407705
Total8242250535229825246412014041201541322241221101232144120241090.66529848778512909710112272588791690341267787683921422765921.38%2814982.56%41002209847.76%1027213148.19%568124045.81%1759100817937401407705
_Since Last GM Reset8242250535229825246412014041201541322241221101232144120241090.66529848778512909710112272588791690341267787683921422765921.38%2814982.56%41002209847.76%1027213148.19%568124045.81%1759100817937401407705
_Vs Conference56251903342199190928131003110104986281290023295923690.61619932552411909710112182388791690341184060270515572294921.40%2354580.85%21002209847.76%1027213148.19%568124045.81%1759100817937401407705
_Vs Division3014902131115981715840210063501315650003152484400.66711518429910909710112968887916903419743334258641623521.60%1452980.00%11002209847.76%1027213148.19%568124045.81%1759100817937401407705

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82109L129848778527252677876839214212
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8242255352298252
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120144120154132
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4122111232144120
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2765921.38%2814982.56%4
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
88791690341909710112
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
1002209847.76%1027213148.19%568124045.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1759100817937401407705


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 - 2021-10-168Senateurs5Bruins2AWSommaire du match
4 - 2021-10-1819Bruins2Senateurs5BWSommaire du match
8 - 2021-10-2234Rangers2Senateurs4BWSommaire du match
11 - 2021-10-2549Senateurs3Sabres2AWR5Sommaire du match
13 - 2021-10-2760Sabres2Senateurs1BLXSommaire du match
14 - 2021-10-2868Senateurs5Canadiens6ALR5Sommaire du match
16 - 2021-10-3080Senateurs5Red Wings1AWSommaire du match
19 - 2021-11-0291Red Wings1Senateurs3BWR5Sommaire du match
20 - 2021-11-0399Senateurs4Maple Leafs5ALXXSommaire du match
23 - 2021-11-06110Senateurs1Canadiens2ALR5Sommaire du match
24 - 2021-11-07116Maple Leafs5Senateurs6BWXSommaire du match
28 - 2021-11-11136Canadiens4Senateurs8BWR5Sommaire du match
29 - 2021-11-12141Senateurs2Rangers3ALXSommaire du match
32 - 2021-11-15152Senateurs5Red Wings4AWXXR5Sommaire du match
34 - 2021-11-17163Red Wings3Senateurs1BLSommaire du match
36 - 2021-11-19177Senateurs4Islanders2AWSommaire du match
39 - 2021-11-22188Canadiens3Senateurs8BWR5Sommaire du match
42 - 2021-11-25206Red Wings3Senateurs5BWSommaire du match
46 - 2021-11-29225Sharks5Senateurs6BWXSommaire du match
49 - 2021-12-02241Senateurs3Blackhawks1AWSommaire du match
50 - 2021-12-03249Senateurs3Islanders4ALXXSommaire du match
52 - 2021-12-05257Canucks1Senateurs5BWSommaire du match
55 - 2021-12-08271Sabres4Senateurs6BWR5Sommaire du match
57 - 2021-12-10288Senateurs3Penguins5ALR2Sommaire du match
59 - 2021-12-12297Maple Leafs5Senateurs2BLSommaire du match
61 - 2021-12-14310Senateurs5Flyers2AWSommaire du match
63 - 2021-12-16318Ducks3Senateurs7BWSommaire du match
65 - 2021-12-18330Senateurs4Ducks2AWSommaire du match
68 - 2021-12-21342Bruins4Senateurs2BLSommaire du match
72 - 2021-12-25362Senateurs6Red Wings4AWR5Sommaire du match
74 - 2021-12-27370Islanders2Senateurs4BWSommaire du match
76 - 2021-12-29381Senateurs3Canucks1AWSommaire du match
77 - 2021-12-30391Senateurs5Blues3AWSommaire du match
79 - 2022-01-01402Predators1Senateurs3BWSommaire du match
82 - 2022-01-04416Senateurs3Sharks4ALSommaire du match
84 - 2022-01-06422Canadiens1Senateurs3BWR5Sommaire du match
87 - 2022-01-09438Senateurs5Stars3AWSommaire du match
88 - 2022-01-10447Kings3Senateurs4BWXXSommaire du match
91 - 2022-01-13465Oilers3Senateurs7BWSommaire du match
93 - 2022-01-15475Senateurs5Rangers3AWSommaire du match
96 - 2022-01-18488Flyers2Senateurs3BWXXSommaire du match
98 - 2022-01-20498Senateurs4Predators2AWSommaire du match
100 - 2022-01-22514Rangers6Senateurs0BLSommaire du match
102 - 2022-01-24526Senateurs5Kings2AWSommaire du match
104 - 2022-01-26537Capitals1Senateurs2BWR2Sommaire du match
106 - 2022-01-28543Senateurs2Flames4ALSommaire du match
108 - 2022-01-30559Senateurs4Canadiens3AWR5Sommaire du match
109 - 2022-01-31566Flames6Senateurs3BLSommaire du match
113 - 2022-02-04585Avalanche2Senateurs1BLSommaire du match
114 - 2022-02-05593Senateurs6Rangers7ALXSommaire du match
117 - 2022-02-08610Capitals6Senateurs3BLR2Sommaire du match
119 - 2022-02-10620Senateurs4Bruins3AWSommaire du match
122 - 2022-02-13633Wild2Senateurs4BWSommaire du match
124 - 2022-02-15645Senateurs1Sabres4ALR5Sommaire du match
126 - 2022-02-17658Blues2Senateurs1BLSommaire du match
128 - 2022-02-19670Senateurs2Flyers1AWSommaire du match
130 - 2022-02-21682Flyers2Senateurs6BWSommaire du match
132 - 2022-02-23689Senateurs1Sabres4ALR5Sommaire du match
134 - 2022-02-25706Avalanche4Senateurs3BLSommaire du match
136 - 2022-02-27714Senateurs2Avalanche0AWSommaire du match
138 - 2022-03-01728Senateurs4Maple Leafs3AWXXR5Sommaire du match
139 - 2022-03-02734Devils4Senateurs5BWXSommaire du match
143 - 2022-03-06755Rangers3Senateurs1BLSommaire du match
145 - 2022-03-08769Senateurs5Capitals2AWR2Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
147 - 2022-03-10778Sabres2Senateurs3BWSommaire du match
149 - 2022-03-12784Senateurs4Wild3AWXSommaire du match
151 - 2022-03-14794Senateurs3Capitals0AWR2Sommaire du match
153 - 2022-03-16806Stars1Senateurs3BWSommaire du match
155 - 2022-03-18821Senateurs5Oilers2AWSommaire du match
157 - 2022-03-20829Devils6Senateurs1BLSommaire du match
159 - 2022-03-22837Senateurs2Devils5ALSommaire du match
161 - 2022-03-24849Senateurs3Maple Leafs2AWXXR5Sommaire du match
162 - 2022-03-25859Senateurs1Devils6ALSommaire du match
164 - 2022-03-27863Bruins7Senateurs5BLSommaire du match
167 - 2022-03-30878Senateurs1Bruins3ALSommaire du match
169 - 2022-04-01887Blackhawks1Senateurs3BWSommaire du match
172 - 2022-04-04906Senateurs4Predators1AWSommaire du match
173 - 2022-04-05911Maple Leafs4Senateurs5BWXR5Sommaire du match
177 - 2022-04-09930Penguins6Senateurs3BLR2Sommaire du match
178 - 2022-04-10938Senateurs2Penguins4ALSommaire du match
183 - 2022-04-15956Islanders3Senateurs8BWSommaire du match
190 - 2022-04-22980Penguins5Senateurs1BLR2Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance79,61339,613
Assistance PCT97.09%96.62%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2908 - 96.93% 124,357$5,098,651$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,005,187$ 3,033,834$ 1,925,167$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,884$ 3,109,901$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 20,596$ 20,596$




Senateurs 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
1Landon Ferraro23891158249-551061157478411.61%143479720.162555801243252617345.43%01.04221
2Alexandre Grenier230931152081138864331370213.25%109430218.703239711155382618619.87%10.97915
3Sonny Milano2409510319807235029171913.21%111428317.8526406610900097443.33%00.9226
4Denis Malgin24486108194-30183223028729.86%93418417.1515233892202614744.32%00.9322
5Bobby Farnham24499781776823155123563615.57%56295912.1362819000010244.98%21.2000

Senateurs 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
1Louis Domingue19310764130.9102.931112316754360502458720.79358
2Jake Oettinger39221220.8853.692035001251087506600.0000
3Scott Wedgewood32121130.8823.76170820107903351310.5717

Senateurs 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
12824425024433082614741161501432142138441281001011166123438830851282000841259393010102010768994130281028102421463358224.48%3455982.90%81054223547.16%1078234046.07%584125946.39%175398917877541424712
1582293706325277285-841161901122142136641131805203135149-148227745072713849491112636888912806512681858104922732575119.84%3005581.67%10932194347.97%974208346.76%602126247.70%1776104918187291370674
1682422505352298250484120140412015413024412211012321441202410929848778512909610212271188890390141268588083621412775921.30%2824882.98%4999209647.66%1027213748.06%569124045.89%1756100417977411406705
1682422505352298252464120140412015413222412211012321441202410929848778512909710112272588791690341267787683921422765921.38%2814982.56%41002209847.76%1027213148.19%568124045.81%1759100817937401407705
Total Saison régulière328157112018131612118110481331647262010794592536561648550086785895127738811811936311737348412387441108236833807350917411071364237488702114525121.92%120821182.53%263987837247.62%4106869147.24%2323500146.45%704540527196296556072798
Séries éliminatoires
1540400000713-62020000025-32020000058-30712190013301264550310126412311010110.00%9455.56%05010448.08%489948.48%265844.83%855186346734
Total Séries éliminatoires40400000713-62020000025-32020000058-30712190013301264550310126412311010110.00%9455.56%05010448.08%489948.48%265844.83%855186346734

Senateurs 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
1Alex Iafallo4123-4097137.69%17719.49011400000023.53%00.7700
2Landon Ferraro4123-4487137.69%17619.19101200010055.26%00.7800
3David Kampf41121065425.00%36115.280000000000100.00%00.6500
4Denis Malgin420200462010.00%16315.820001000000100.00%00.6300
5Alexandre Grenier4112-45105616.67%27117.7501100000000.00%00.5600

Senateurs 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
1Louis Domingue40400.8853.45226001311346000.0000
2Scott Wedgewood10001.0000.0012000135000.0000