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Connexion

Senators
GP: 15 | W: 10 | L: 4 | OTL: 1 | P: 21
GF: 79 | GA: 66 | PP%: 30.43% | PK%: 71.43%
DG: Didier Theodore | Morale : 47 | Moyenne d’équipe : 63
Prochains matchs #199 vs Little Stars

Centre de jeu
Senators
10-4-1, 21pts
6
5 Admirals
9-5-2, 20pts
Team Stats
W1SéquenceW2
4-3-0Fiche domicile4-2-1
6-1-1Fiche domicile5-3-1
6-4-0Derniers 10 matchs6-3-1
5.27Buts par match 4.13
4.40Buts contre par match 3.81
30.43%Pourcentage en avantage numérique20.00%
71.43%Pourcentage en désavantage numérique80.70%
Senators
10-4-1, 21pts
5
2 Little Stars
6-6-3, 15pts
Team Stats
W1SéquenceL1
4-3-0Fiche domicile3-4-1
6-1-1Fiche domicile3-2-2
6-4-0Derniers 10 matchs4-4-2
5.27Buts par match 3.53
4.40Buts contre par match 4.13
30.43%Pourcentage en avantage numérique26.42%
71.43%Pourcentage en désavantage numérique78.26%
Little Stars
6-6-3, 15pts
Jour 33
Senators
10-4-1, 21pts
Statistiques d’équipe
L1SéquenceW1
3-4-1Fiche domicile4-3-0
3-2-2Fiche visiteur6-1-1
4-4-210 derniers matchs6-4-0
3.53Buts par match 5.27
4.13Buts contre par match 5.27
26.42%Pourcentage en avantage numérique30.43%
78.26%Pourcentage en désavantage numérique71.43%
Admirals
9-5-2, 20pts
Jour 35
Senators
10-4-1, 21pts
Statistiques d’équipe
W2SéquenceW1
4-2-1Fiche domicile4-3-0
5-3-1Fiche visiteur6-1-1
6-3-110 derniers matchs6-4-0
4.13Buts par match 5.27
3.81Buts contre par match 5.27
20.00%Pourcentage en avantage numérique30.43%
80.70%Pourcentage en désavantage numérique71.43%
Senators
10-4-1, 21pts
Jour 37
Rockets
9-5-1, 19pts
Statistiques d’équipe
W1SéquenceOTL1
4-3-0Fiche domicile5-1-1
6-1-1Fiche visiteur4-4-0
6-4-010 derniers matchs5-4-1
5.27Buts par match 4.47
4.40Buts contre par match 4.47
30.43%Pourcentage en avantage numérique19.05%
71.43%Pourcentage en désavantage numérique77.94%
Meneurs d'équipe
Buts
Marc Michaelis
18
Passes
Antti Suomela
21
Points
Marc Michaelis
32
Plus/Moins
Hugh McGing
6
Victoires
Justus Annunen
6
Pourcentage d’arrêts
David Rittich
0.875

Statistiques d’équipe
Buts pour
79
5.27 GFG
Tirs pour
505
33.67 Avg
Pourcentage en avantage numérique
30.4%
28 GF
Début de zone offensive
36.6%
Buts contre
66
4.40 GAA
Tirs contre
498
33.20 Avg
Pourcentage en désavantage numérique
71.4%%
14 GA
Début de la zone défensive
35.6%
Informations de l'équipe

Directeur généralDidier Theodore
EntraîneurMichel Therrien
DivisionFritz-Kraatz
ConférenceRobert-Lebel
CapitaineAntti Suomela
Assistant #1Carl Grundstrom
Assistant #2Marc Michaelis


Informations de l’aréna

Capacité3,000
Assistance2,816
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure22
Limite contact 56 / 250
Espoirs0


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
1Antti Suomela (R) (C)X100.007939768085708170737677637664564151730262950,000$
2Chase De Leo (R)X100.007330837576787568768179616860524351720243750,000$
3Marc Michaelis (R) (A)X100.007939787469796773717774726959544251720253750,000$
4Kiefer SherwoodX100.007243776883646874736789657256503551720251950,000$
5Carl Grundstrom (R) (A)X100.007451877173787272707274687456515451710233750,000$
6Vitaly Abramov (R)X100.005935817974706875627179587249494951690223850,000$
7Anton Karlsson (R)X100.006628718068696078637166717548483651680241800,000$
8Hugh McGing (R)X100.007646757183607570567668636146475251680224700,000$
9Arttu Ruotsalainen (R)X100.005637757365756868595785617049494151670234900,000$
10Bryce Kindopp (R)X100.006333696568606465656370646544455451630213500,000$
11Akil Thomas (R)X100.007546656369536862536564566143435254610204600,000$
12Ozzy Wiesblatt (R)X100.005030734371486352565270295540407651530182500,000$
13Corey ShuenemanX100.007747837365817173547763816465554254740251750,000$
14Jonas Siegenthaler (R)X100.006626876971637665427459835755493951700232600,000$
15Mason GeertsenX100.007345796668617769546259726455543352680251750,000$
16Scott Perunovich (R)X100.006136787359627576447558765548475551670223900,000$
17Alec Regula (R)X100.006444665958636168485458694742425351610204700,000$
18Ian Moore (R)X100.004029757355525674246149644440406851580182500,000$
19Jett Woo (R)X100.005725656346536266346944594344424751570201500,000$
20Lucas Ramberg (R)X100.005814654556574638246039674240407251540184500,000$
Rayé
1Joel Teasdale (R)X100.005533886764796359676562655944465425640212600,000$
2Adam Mascherin (R)X100.005642677459616072656468597647475425640221500,000$
3Cliff Pu (R)X100.005826755866675667626772456944453825620222600,000$
4Jonatan Berggren (R)X100.005930806560646669717260394842425325600204650,000$
5Tyler Angle (R)X100.005646606553696463645754486043445625570201500,000$
6Jaromir Pytlik (R)X100.005840736557574949506156526241426825560194650,000$
7Ivan Morozov (R)X100.005539635862516060565761495042425225560204600,000$
8Noel Gunler (R)X100.004736736155525366474964336240407025540184500,000$
9Colby Ambrosio (R)X100.006137625161596055594962385840406725530182500,000$
10Jack Finley (R)X100.005922635355575854485755315240407525510184800,000$
MOYENNE D’ÉQUIPE100.00633674666564656656656559614846524363
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
1David Rittich100.007167876561848363558677635847557102812,500,000$
2Justus Annunen99.00816673768167647170558247436355690204700,000$
Rayé
1Olivier Rodrigue100.00447156575760606172615342425532590202500,000$
2Vsevolod Skotnikov (R)100.00554951485151564451574740405932510184500,000$
MOYENNE D’ÉQUIPE99.7563636762636666606265654846564463
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien81738176727457CAN5341,000,000$


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
1Marc MichaelisSenators (Ott)LW15181432-3180282185244121.18%134623.12781514690001303134.78%2393021.8500000511
2Antti SuomelaSenators (Ott)C15102131-3140233664194115.63%1034523.074101412690002311051.74%57488101.7901000121
3Kiefer SherwoodSenators (Ott)RW1561925-1140131133143418.18%830520.3949131168000000037.93%29146001.6401000011
4Corey ShuenemanSenators (Ott)D1551015-5255262426171619.23%2439026.024711876011036010%01114000.7700100200
5Chase De LeoSenators (Ott)C156814340272538151515.79%526917.952243561011210045.27%20182001.0400000111
6Vitaly AbramovSenators (Ott)LW1559143120171341113012.20%426517.691563560000131050.00%8105001.0601000011
7Jonas SiegenthalerSenators (Ott)D152810-500173324458.33%2440126.79246677000240000%0410000.5000000010
8Anton KarlssonSenators (Ott)LW15459-56017204312229.30%518712.48000020000140042.86%771000.9611000001
9Carl GrundstromSenators (Ott)RW1554902027293571514.29%626717.823145560002171036.00%2562000.6700000100
10Arttu RuotsalainenSenators (Ott)C15459-32013122882314.29%615910.6100000000001040.26%7763001.1300000010
11Hugh McGingSenators (Ott)LW1545960014122271318.18%51026.810000000000000%240001.7600000100
12Ian MooreSenators (Ott)D1535854001173042.86%615210.161011100005000%027001.0500000010
13Scott PerunovichSenators (Ott)D15268-7201118193810.53%928619.10000151000023000%048000.5600000001
14Akil ThomasSenators (Ott)C153254951111102630.00%31127.5300012000023046.51%4350000.8900100001
15Mason GeertsenSenators (Ott)D15044-65515145670%1628519.02000051000023000%0311000.2800001000
16Bryce KindoppSenators (Ott)RW15224-340167139015.38%615910.6000000000000040.00%514000.5000000000
17Lucas RambergSenators (Ott)D15022600210110%3755.060000000001000%003000.5300000000
18Alec RegulaSenators (Ott)D1502262010117420%91399.270000000000000%0111000.2900000000
19Ozzy WiesblattSenators (Ott)RW15000320324150%01107.370000300000000%21100000000000
20Jett WooSenators (Ott)D15000620231000%1765.130000000002000%00100000000000
Statistiques d’équipe totales ou en moyenne3007913121011271529231450516728415.64%151443914.8028467465644112826610247.79%996104100120.95142011198
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
1Justus AnnunenSenators (Ott)106210.8694.245380038289134000.5004105000
2David RittichSenators (Ott)74200.8754.263660026208871100510010
Statistiques d’équipe totales ou en moyenne1710410.8714.2490500644972211141515010


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam MascherinSenators (Ott)LW221998-01-01CANYes205 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Akil ThomasSenators (Ott)C202000-01-01CANYes195 Lbs6 ft0NoNoFree AgentNoNo42025-10-07FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------Lien
Alec RegulaSenators (Ott)D202000-01-01USAYes208 Lbs6 ft4NoNoFree AgentNoNo42025-10-07FalseFalsePro & Farm700,000$567,456$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Lien
Anton KarlssonSenators (Ott)LW241996-01-01SWEYes194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$648,521$0$0$No---------------------------Lien
Antti SuomelaSenators (Ott)C261994-01-01FINYes180 Lbs6 ft0NoNoFree Agent2024-11-07NoNo22025-10-23FalseFalsePro & Farm950,000$770,118$0$0$No1,250,000$--------1,250,000$--------No--------Lien
Arttu RuotsalainenSenators (Ott)C231997-01-01FINYes181 Lbs5 ft8NoNoFree AgentNoNo42025-10-07FalseFalsePro & Farm900,000$729,586$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Lien
Bryce KindoppSenators (Ott)RW211999-01-01CANYes185 Lbs6 ft1NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm500,000$405,325$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Carl GrundstromSenators (Ott)RW231997-01-01SWEYes194 Lbs6 ft0NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm750,000$607,988$0$0$No950,000$1,250,000$-------950,000$1,250,000$-------NoNo-------Lien
Chase De LeoSenators (Ott)C241996-01-01USAYes179 Lbs5 ft9NoNoFree Agent2024-12-29NoNo32025-10-07FalseFalsePro & Farm750,000$607,988$0$0$No950,000$1,250,000$-------950,000$1,250,000$-------NoNo-------Lien
Cliff PuSenators (Ott)RW221998-01-01CANYes185 Lbs6 ft2NoNoFree AgentNoNo22025-10-07FalseFalsePro & Farm600,000$486,391$0$0$No600,000$--------600,000$--------No--------Lien
Colby AmbrosioSenators (Ott)C182002-01-01CANYes170 Lbs5 ft9NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Corey ShuenemanSenators (Ott)D251995-01-01USANo196 Lbs6 ft0NoNoFree AgentNoNo12025-02-02FalseFalsePro & Farm750,000$607,988$0$0$No---------------------------Lien
David RittichSenators (Ott)G281992-01-01CZENo206 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,500,000$2,026,627$0$0$No---------------------------Lien
Hugh McGingSenators (Ott)LW221998-01-01USAYes176 Lbs5 ft8NoNoFree Agent2025-09-02NoNo42025-10-07FalseFalsePro & Farm700,000$567,456$0$0$No800,000$900,000$1,500,000$------800,000$900,000$1,500,000$------NoNoNo------Lien
Ian MooreSenators (Ott)D182002-01-01USAYes171 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Ivan MorozovSenators (Ott)C202000-01-01RUSYes178 Lbs6 ft1NoNoFree AgentNoNo42025-10-07FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------Lien
Jack FinleySenators (Ott)C182002-01-01CANYes207 Lbs6 ft5NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm800,000$648,521$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Jaromir PytlikSenators (Ott)C192001-01-01CZEYes196 Lbs6 ft2NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm650,000$526,923$0$0$No750,000$750,000$850,000$------750,000$750,000$850,000$------NoNoNo------
Jett WooSenators (Ott)D202000-01-01CANYes190 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Joel TeasdaleSenators (Ott)LW211999-01-01CANYes212 Lbs6 ft0NoNoTrade2025-09-06NoNo22025-08-30FalseFalsePro & Farm600,000$486,391$0$0$No600,000$--------600,000$--------No--------Lien
Jonas SiegenthalerSenators (Ott)D231997-01-01CHEYes210 Lbs6 ft3NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm600,000$486,391$0$0$No600,000$--------600,000$--------No--------Lien
Jonatan BerggrenSenators (Ott)RW202000-01-01SWEYes195 Lbs5 ft11NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm650,000$526,923$0$0$No750,000$850,000$950,000$------750,000$850,000$950,000$------NoNoNo------Lien
Justus AnnunenSenators (Ott)G202000-01-01FINNo210 Lbs6 ft4NoNoFree Agent2024-12-28NoNo42025-10-07FalseFalsePro & Farm700,000$567,456$0$0$No800,000$900,000$1,500,000$------800,000$900,000$1,500,000$------NoNoNo------Lien
Kiefer SherwoodSenators (Ott)RW251995-01-01USANo194 Lbs6 ft0NoNoFree Agent2024-09-07NoNo12025-10-07FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Lucas RambergSenators (Ott)D182002-01-01SWEYes194 Lbs6 ft1NoNoFree AgentNoNo42025-10-26FalseFalsePro & Farm500,000$405,325$0$0$No500,000$600,000$600,000$------500,000$600,000$600,000$------NoNoNo------
Marc MichaelisSenators (Ott)LW251995-01-01DEUYes187 Lbs5 ft11NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm750,000$607,988$0$0$No950,000$1,500,000$-------950,000$1,500,000$-------NoNo-------Lien
Mason GeertsenSenators (Ott)D251995-01-01CANNo185 Lbs6 ft4NoNoFree AgentNoNo12025-10-07FalseFalsePro & Farm750,000$607,988$0$0$No---------------------------Lien
Noel GunlerSenators (Ott)RW182002-01-01SWEYes176 Lbs6 ft2NoNoFree AgentNoNo42025-10-26FalseFalsePro & Farm500,000$405,325$0$0$No500,000$600,000$600,000$------500,000$600,000$600,000$------NoNoNo------
Olivier RodrigueSenators (Ott)G202000-01-01CANNo158 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Lien
Ozzy WiesblattSenators (Ott)RW182002-01-01CANYes183 Lbs5 ft10NoNoTrade2025-09-06NoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Scott PerunovichSenators (Ott)D221998-01-01USAYes175 Lbs5 ft10NoNoFree Agent2025-04-14NoNo32025-10-07FalseFalsePro & Farm900,000$729,586$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Tyler AngleSenators (Ott)C202000-01-01CANYes165 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Vitaly AbramovSenators (Ott)LW221998-01-01RUSYes181 Lbs5 ft10NoNoFree AgentNoNo32025-10-07FalseFalsePro & Farm850,000$689,053$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Vsevolod SkotnikovSenators (Ott)G182002-01-01RUSYes182 Lbs6 ft0NoNoFree AgentNoNo42025-10-23FalseFalsePro & Farm500,000$405,325$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3421.41188 Lbs6 ft02.65714,706$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marc MichaelisAntti SuomelaKiefer Sherwood40023
2Vitaly AbramovChase De LeoCarl Grundstrom30122
3Anton KarlssonArttu RuotsalainenBryce Kindopp20122
4Hugh McGingAkil ThomasOzzy Wiesblatt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Corey ShuenemanJonas Siegenthaler40023
2Mason GeertsenScott Perunovich30122
3Alec RegulaIan Moore20131
4Jett WooLucas Ramberg10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marc MichaelisAntti SuomelaKiefer Sherwood60014
2Vitaly AbramovChase De LeoCarl Grundstrom40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Corey ShuenemanJonas Siegenthaler60023
2Mason GeertsenScott Perunovich40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Antti SuomelaMarc Michaelis60122
2Chase De LeoVitaly Abramov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Corey ShuenemanJonas Siegenthaler60122
2Mason GeertsenScott Perunovich40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Antti Suomela60122Corey ShuenemanJonas Siegenthaler60122
2Chase De Leo40122Mason GeertsenScott Perunovich40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Antti SuomelaMarc Michaelis60122
2Chase De LeoVitaly Abramov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Corey ShuenemanJonas Siegenthaler60122
2Mason GeertsenScott Perunovich40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc MichaelisAntti SuomelaKiefer SherwoodCorey ShuenemanJonas Siegenthaler
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc MichaelisAntti SuomelaKiefer SherwoodCorey ShuenemanJonas Siegenthaler
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Carl Grundstrom, Vitaly Abramov, Anton KarlssonCarl Grundstrom, Vitaly AbramovCarl Grundstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ian Moore, Jett Woo, Lucas RambergIan MooreIan Moore, Jett Woo
Tirs de pénalité
Antti Suomela, Kiefer Sherwood, Anton Karlsson, Vitaly Abramov, Carl Grundstrom
Gardien
#1 : David Rittich, #2 : Justus Annunen
Lignes d’attaque personnalisées en prolongation
Antti Suomela, Kiefer Sherwood, Marc Michaelis, Chase De Leo, Carl Grundstrom, Vitaly Abramov, Anton Karlsson, Hugh McGing, Arttu Ruotsalainen, Bryce Kindopp
Lignes de défense personnalisées en prolongation
Corey Shueneman, Jonas Siegenthaler, Mason Geertsen, Scott Perunovich, Alec Regula


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
1Admirals10001000651000000000001000100065121.0006915001933253281641821531030146187228.57%30100.00%118436450.55%16435446.33%12827646.38%321180314138270138
2Americans422000002021-1211000001215-32110000086240.5002031510019332531261641821531014041447225520.00%16287.50%018436450.55%16435446.33%12827646.38%321180314138270138
3Icehogs2200000014860000000000022000000148641.00014243800193325367164182153106619233815746.67%4250.00%018436450.55%16435446.33%12827646.38%321180314138270138
4Islander312000001313020200000811-31100000052320.3331321341019332531011641821531010233185316531.25%9277.78%018436450.55%16435446.33%12827646.38%321180314138270138
5Little Stars420010012015521001000131032100000175270.8752035550019332531471641821531013031308622627.27%15753.33%018436450.55%16435446.33%12827646.38%321180314138270138
6Thunderbirds11000000642110000006420000000000021.00061117001933253361641821531030136257342.86%2150.00%018436450.55%16435446.33%12827646.38%321180314138270138
Total158402001796613733010003940-185101001402614210.7007913121010193325350516418215310498151127292922830.43%491471.43%118436450.55%16435446.33%12827646.38%321180314138270138
_Since Last GM Reset158402001796613733010003940-185101001402614210.7007913121010193325350516418215310498151127292922830.43%491471.43%118436450.55%16435446.33%12827646.38%321180314138270138
_Vs Conference158402001796613733010003940-185101001402614210.7007913121010193325350516418215310498151127292922830.43%491471.43%118436450.55%16435446.33%12827646.38%321180314138270138
_Vs Division11540100153494623010003336-35310000120137130.59153871401019332533741641821531037210592211631625.40%401172.50%018436450.55%16435446.33%12827646.38%321180314138270138

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1521W17913121050549815112729210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
158420017966
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73310003940
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
85110014026
Derniers 10 matchs
WLOTWOTL SOWSOL
541000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
922830.43%491471.43%1
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
164182153101933253
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
18436450.55%16435446.33%12827646.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
321180314138270138


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
11Senators2Little Stars3LXXSommaire du match
316Little Stars5Senators6WXSommaire du match
535Americans6Senators9WR1Sommaire du match
638Senators9Icehogs5WSommaire du match
748Senators5Islander2WSommaire du match
962Senators6Americans2WR1Sommaire du match
1276Islander7Senators5LSommaire du match
1490Little Stars5Senators7WSommaire du match
17105Senators5Icehogs3WR1Sommaire du match
20125Thunderbirds4Senators6WSommaire du match
22138Americans9Senators3LR1Sommaire du match
24151Senators2Americans4LSommaire du match
26165Islander4Senators3LSommaire du match
27170Senators6Admirals5WXR1Sommaire du match
31192Senators5Little Stars2WSommaire du match
33199Little Stars-Senators-
35215Admirals-Senators-
37224Senators-Rockets-
39234Senators-Admirals-
41249Senators-Little Stars-
42256Firebirds-Senators-
45273Islander-Senators-
47288Senators-Griffins-
49296Senators-Wolfpack-
50307Comets-Senators-
53325Senators-Americans-
55332Wolfpack-Senators-
57349Senators-Bears-
58357Condors-Senators-
61379Griffins-Senators-
63391Senators-Comets-
65402Senators-Wranglers-
66410Little Stars-Senators-
68427Senators-Condors-
70437Icehogs-Senators-
72453Senators-Checkers-
74464Gulls-Senators-
78485Gulls-Senators-
80499Senators-Icehogs-
81509Moose-Senators-
84528Roadrunners-Senators-
87545Senators-Barracuda-
88555Canucks-Senators-
91573Senators-Firebirds-
92582Americans-Senators-
94593Senators-Gulls-
97606Senators-Eagles-
98615Barracuda-Senators-
100632Senators-Punishers-
102641Roadrunners-Senators-
104658Marlies-Senators-
106673Senators-Moose-
108683Eagles-Senators-
111702Senators-Moose-
113712Canucks-Senators-
115721Senators-Roadrunners-
117737Thunderbirds-Senators-
119750Senators-Islander-
121763Punishers-Senators-
122771Senators-Icehogs-
125790Bears-Senators-
127802Senators-Marlies-
130817Crunch-Senators-
131824Senators-Islander-
134841Penguins-Senators-
136852Senators-Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
138869Crunch-Senators-
140882Senators-Little Stars-
141888Senators-Crunch-
143898Rockets-Senators-
146913Senators-Condors-
148926Wranglers-Senators-
150943Punishers-Senators-
151946Senators-Thunderbirds-
154966Senators-Crunch-
156978Senators-Canucks-
157983Rockets-Senators-
1611004Bears-Senators-
1641023Checkers-Senators-
1661033Senators-Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance13,1846,530
Assistance PCT94.17%93.29%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2816 - 93.88% 177,612$1,243,285$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
649,472$ 2,430,000$ 2,430,000$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,379$ 460,128$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,861,201$ 137 20,296$ 2,780,552$




Senators Leaders statistiques des joueurs (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

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

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

Senators Leaders statistiques des joueurs (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