Connexion

SenatorsF
GP: 49 | W: 24 | L: 21 | OTL: 4 | P: 52
GF: 144 | GA: 142 | PP%: 20.66% | PK%: 81.13%
DG: Eric St-Amand | Morale : 49 | Moyenne d’équipe : 63
Prochains matchs #808 vs Crunch
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Centre de jeu
Checkers
28-14-7, 63pts
3
FINAL
2 SenatorsF
24-21-4, 52pts
Team Stats
W2SéquenceL2
17-6-2Fiche domicile12-10-3
11-8-5Fiche domicile12-11-1
4-5-1Derniers 10 matchs6-2-2
3.96Buts par match 2.94
3.18Buts contre par match 2.90
26.62%Pourcentage en avantage numérique20.66%
81.20%Pourcentage en désavantage numérique81.13%
SenatorsF
24-21-4, 52pts
4
FINAL
5 Crunch
32-16-2, 66pts
Team Stats
L2SéquenceW2
12-10-3Fiche domicile17-7-1
12-11-1Fiche domicile15-9-1
6-2-2Derniers 10 matchs7-2-1
2.94Buts par match 3.50
2.90Buts contre par match 2.82
20.66%Pourcentage en avantage numérique23.78%
81.13%Pourcentage en désavantage numérique84.38%
Crunch
32-16-2, 66pts
2023-12-12
SenatorsF
24-21-4, 52pts
Statistiques d’équipe
W2SéquenceL2
17-7-1Fiche domicile12-10-3
15-9-1Fiche visiteur12-11-1
7-2-110 derniers matchs6-2-2
3.50Buts par match 2.94
2.82Buts contre par match 2.94
23.78%Pourcentage en avantage numérique20.66%
84.38%Pourcentage en désavantage numérique81.13%
SenatorsF
24-21-4, 52pts
2023-12-14
Islanders
27-17-6, 60pts
Statistiques d’équipe
L2SéquenceW1
12-10-3Fiche domicile13-8-3
12-11-1Fiche visiteur14-9-3
6-2-210 derniers matchs6-4-0
2.94Buts par match 3.54
2.90Buts contre par match 3.54
20.66%Pourcentage en avantage numérique20.67%
81.13%Pourcentage en désavantage numérique76.19%
Americans
24-22-3, 51pts
2023-12-16
SenatorsF
24-21-4, 52pts
Statistiques d’équipe
OTW1SéquenceL2
12-11-1Fiche domicile12-10-3
12-11-2Fiche visiteur12-11-1
4-6-010 derniers matchs6-2-2
3.31Buts par match 2.94
3.24Buts contre par match 2.94
17.57%Pourcentage en avantage numérique20.66%
77.84%Pourcentage en désavantage numérique81.13%
Meneurs d'équipe
Buts
Emil Bemstrom
22
Passes
Gustav Olofsson
29
Points
Emil Bemstrom
39
Plus/Moins
Jiri Sekac
16
Victoires
Erik Kallgren
14
Pourcentage d’arrêts
Thomas(Chase) Perry
0.947

Statistiques d’équipe
Buts pour
144
2.94 GFG
Tirs pour
1302
26.57 Avg
Pourcentage en avantage numérique
20.7%
25 GF
Début de zone offensive
39.7%
Buts contre
142
2.90 GAA
Tirs contre
1386
28.29 Avg
Pourcentage en désavantage numérique
81.1%%
30 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur généralEric St-Amand
EntraîneurDarren Rumble
DivisionDivision Nord-Est
ConférenceConference 1
Capitaine
Assistant #1Alec Regula
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,831
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 55
Espoirs24


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
1Emil Bemstrom (R)X100.006445947269748372697472736665456061660243900,000$
2Aleksi SaarelaX100.0064468775727474747573726664565264366602621,700,000$
3Michael PezzettaX100.0082686275746880717268687066564766606402531,200,000$
4Stanislav GalievX100.00584296707171697159716873666055506164N03121,550,000$
5Darren ArchibaldX100.0063459471747572706668667167544742466403321,350,000$
6Carson MeyerX100.0071458773696871695969686765504566596302621,600,000$
7Mathieu OlivierX100.0077456873757470716269647162544664646302621,200,000$
8Jiri SekacX100.0061439371736768705869656962584950616303121,100,000$
9Thomas NovakX100.006145907470707268726565706652486652630261750,000$
10Zach Solow (R)X100.006545857266707070706463695945458043610253750,000$
11Marek ViedenskyX100.005542957073706969686564706245454654610331650,000$
12Jamie ArnielX100.005945917068656566616063706046454261600342900,000$
13Gustav OlofssonX100.0067458471727574734572617253685355516502911,100,000$
14Calen Addison (R)X100.006445887267768573457767716150457050650233900,000$
15Ian Mitchell (R)X100.006545907269747673457265755955456061650243900,000$
16Alexander YounanX100.0066458075737275734571657057575064616502631,500,000$
17Alec Regula (A)X100.007045797373777170456070746249467061640232900,000$
18Adam Ollas-MattssonX100.007053847073676766456663715649476018630271750,000$
Rayé
1Linus OmarkX100.006146907069707068616767666553492920620361700,000$
2Lukas ZetterbergX84.937047747572676966646466666055506425620262800,000$
3Roman HorakX82.395845967167686868656665716354474621620321700,000$
4Vaclav KarabacekX100.0063459171716866676064636561454562256002731,000,000$
5Peter HrehorcakX100.0061458770686661646259626462454556205902921,000,000$
6Ryan MurphyX95.4357429172707171694569667356795650426503011,300,000$
7Sean DayX100.007255857277706965456665685650476620630251750,000$
8Brett LernoutX100.007145787273695772456357735246456020620282800,000$
9Mitchell Vande Sompel (R)X100.007250807268707060456262675745456020610263750,000$
10Jesper LindgrenX100.006545897066696961456567665746466020600261750,000$
MOYENNE D’ÉQUIPE98.61654686727171716957676570615348584363
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
1Erik Kallgren97.0083828078847886828386894556644866N02732,000,000$
2Blake Weyrick100.00737473787582768484718157585846640271900,000$
Rayé
1Micheal Wall100.00717271797472767476777545502948600382700,000$
MOYENNE D’ÉQUIPE99.0076767578787779808178824955504763
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darren Rumble72688194999968CAN525100,000$


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
1Emil BemstromSenatorsF (Ott)C492217392402697127379717.32%1791618.7077142910610131343053.85%101200010.8513000251
2Gustav OlofssonSenatorsF (Ott)D4932932528050324514496.67%46102120.8527917980001117100%000000.6300000111
3Ian MitchellSenatorsF (Ott)D49823315140504663235012.70%64103921.2127926920000122200%000000.6000000431
4Stanislav GalievSenatorsF (Ott)RW4962430-24015488922796.74%784517.262571810201131082143.03%16500000.7102000002
5Mathieu OlivierSenatorsF (Ott)RW491212242195644798316612.24%570714.443251379000052047.46%5900010.6811100310
6Michael PezzettaSenatorsF (Ott)LW48121224-8662011639102287411.76%978116.291567920000741147.44%7800000.6101022112
7Alec RegulaSenatorsF (Ott)D494192314300602939214410.26%4983817.1100034000043100%000000.5500000131
8Ryan MurphySenatorsF (Ott)D472202261202649428334.76%6297620.771121362000181000%000000.4500000101
9Jiri SekacSenatorsF (Ott)RW499122116140245184306310.71%562512.77000130000142047.44%7800000.6700000022
10Carson MeyerSenatorsF (Ott)RW4911819-7315703695276211.58%1168313.96000319000092149.30%7100000.5600001130
11Calen AddisonSenatorsF (Ott)D4731619-1130057344515386.67%52102321.7820221890001112000%000000.3700000010
12Aleksi SaarelaSenatorsF (Ott)C3411819-6175304483235913.25%261918.2131415720002862054.04%77900000.6111010132
13Alexander YounanSenatorsF (Ott)D4941519-740053274122269.76%4696119.620441457000371100%000000.4000000002
14Thomas NovakSenatorsF (Ott)C4788166120206369196111.59%666214.090112260001142152.11%73500000.4800000001
15Zach SolowSenatorsF (Ott)C3767136200273144112813.64%440010.8400000000060049.66%44100000.6500000210
16Marek ViedenskySenatorsF (Ott)LW302796408193913285.13%540513.53101216000020038.89%1800000.4400000001
17Jamie ArnielSenatorsF (Ott)LW49549-1409336721437.46%362812.8200000000010142.50%4000000.2900000120
18Nigel DawesSenatorsLW3034714013134712496.38%351017.001124690001600040.32%6200000.2700000010
19Darren ArchibaldSenatorsF (Ott)LW18347-2201373051910.00%126014.450111170001280140.00%3500000.5402000010
20Lukas ZetterbergSenatorsF (Ott)C254152100272730101913.33%029211.6900000000050148.78%32800000.3400000200
21Peter HrehorcakSenatorsF (Ott)LW12213100751211016.67%01139.4700001000021044.44%900000.5300000001
22Vaclav KarabacekSenatorsF (Ott)LW91123000873514.29%19911.0700001000000050.00%400000.4000000001
23Roman HorakSenatorsF (Ott)C41011000321650.00%14210.7100000000010045.45%4400000.4700000000
24Adam Ollas-MattssonSenatorsF (Ott)D4000-100542010%36716.900000000003000%00000000000000
Statistiques d’équipe totales ou en moyenne88214225239431365357707921302397100910.91%4021452416.47254267189101111217110822751.16%395800020.54310133202819
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
1Erik KallgrenSenatorsF (Ott)32141240.9002.84181601868560010.81811318223
2Blake WeyrickSenatorsF (Ott)134700.9052.827028133346000001020100
3Micheal WallSenatorsF (Ott)64200.8573.32325001812601000613000
4Thomas(Chase) PerrySenators22000.9471.50120003570000028010
Statistiques d’équipe totales ou en moyenne53242140.8992.832964821401385011114949333


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 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 Type Salaire actuel Plafond salarial Non Activé 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 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 Ollas-MattssonSenatorsF (Ott)D271996-07-30No216 Lbs6 ft4NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Alec RegulaSenatorsF (Ott)D232000-08-06No203 Lbs6 ft4NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Aleksi SaarelaSenatorsF (Ott)C261997-01-07No200 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Alexander YounanSenatorsF (Ott)D261997-03-14No190 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Blake WeyrickSenatorsF (Ott)G271996-02-05No198 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Brett LernoutSenatorsF (Ott)D281995-09-24No214 Lbs6 ft4NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Calen AddisonSenatorsF (Ott)D232000-04-11Yes173 Lbs5 ft11NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Carson Meyer (contrat à 1 volet)SenatorsF (Ott)RW261997-08-18No184 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,600,000$1,600,000$659,341$No1,600,000$--------No--------Lien
Darren ArchibaldSenatorsF (Ott)LW331990-02-09No209 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,350,000$0$0$No1,350,000$--------No--------Lien
Emil BemstromSenatorsF (Ott)C241999-06-01Yes195 Lbs6 ft0NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Erik KallgrenSenatorsF (Ott)G271996-10-14No190 Lbs6 ft2YesNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------YesYes-------Lien
Gustav OlofssonSenatorsF (Ott)D291994-12-01No194 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,100,000$0$0$No------------------Lien
Ian MitchellSenatorsF (Ott)D241999-01-18Yes193 Lbs5 ft11NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Jamie ArnielSenatorsF (Ott)LW341989-11-16No182 Lbs5 ft10NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Jesper LindgrenSenatorsF (Ott)D261997-05-17No161 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Jiri SekacSenatorsF (Ott)RW311992-06-10No200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Linus OmarkSenatorsF (Ott)RW361987-02-05No181 Lbs5 ft10NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Lukas Zetterberg (sur la masse salariale)SenatorsF (Ott)C261997-03-27No190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$0$0$Yes800,000$--------No--------Lien
Marek ViedenskySenatorsF (Ott)LW331990-08-18No202 Lbs6 ft3NoNoN/ANoNo1Pro & Farm650,000$0$0$No------------------Lien
Mathieu OlivierSenatorsF (Ott)RW261997-02-11No210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Michael PezzettaSenatorsF (Ott)LW251998-03-13No216 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Micheal WallSenatorsF (Ott)G381985-07-25No204 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Mitchell Vande SompelSenatorsF (Ott)D261997-02-11Yes190 Lbs5 ft11NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Peter HrehorcakSenatorsF (Ott)LW291994-05-30No180 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Roman Horak (sur la masse salariale)SenatorsF (Ott)C321991-05-21No163 Lbs5 ft11NoNoN/ANoNo1Pro & Farm700,000$0$0$Yes------------------Lien
Ryan MurphySenatorsF (Ott)D301993-03-01No185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Sean DaySenatorsF (Ott)D251998-01-09No231 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Stanislav GalievSenatorsF (Ott)RW311992-01-17No196 Lbs6 ft1YesNoN/ANoNo2Pro & Farm1,550,000$0$0$No1,550,000$--------Yes--------Lien
Thomas NovakSenatorsF (Ott)C261997-04-28No179 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Vaclav KarabacekSenatorsF (Ott)LW271996-05-02No198 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Zach SolowSenatorsF (Ott)C251998-11-06Yes174 Lbs5 ft9NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3128.03194 Lbs6 ft11.971,027,419$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaEmil BemstromStanislav Galiev25122
2Darren ArchibaldAleksi SaarelaCarson Meyer25122
3Marek ViedenskyThomas NovakMathieu Olivier25122
4Jamie ArnielZach SolowJiri Sekac25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonCalen Addison25122
2Ian MitchellAlexander Younan25122
3Alec RegulaAdam Ollas-Mattsson25122
4Gustav OlofssonCalen Addison25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaEmil BemstromStanislav Galiev50122
2Darren ArchibaldAleksi SaarelaCarson Meyer50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonCalen Addison50122
2Ian MitchellAlexander Younan50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Emil BemstromMichael Pezzetta50122
2Aleksi SaarelaDarren Archibald50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonCalen Addison50122
2Ian MitchellAlexander Younan50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Emil Bemstrom50122Gustav OlofssonCalen Addison50122
2Aleksi Saarela50122Ian MitchellAlexander Younan50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Emil BemstromMichael Pezzetta50122
2Aleksi SaarelaDarren Archibald50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonCalen Addison50122
2Ian MitchellAlexander Younan50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaEmil BemstromStanislav GalievGustav OlofssonCalen Addison
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaEmil BemstromStanislav GalievGustav OlofssonCalen Addison
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Darren Archibald, Carson Meyer, Mathieu OlivierDarren Archibald, Carson MeyerDarren Archibald
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Younan, Alec Regula, Adam Ollas-MattssonAlexander YounanAlexander Younan, Alec Regula
Tirs de pénalité
Emil Bemstrom, Aleksi Saarela, Stanislav Galiev, Michael Pezzetta, Darren Archibald
Gardien
#1 : Erik Kallgren, #2 : Blake Weyrick, #3 : 0


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
1Americans20001001880200010018800000000000030.750815230061473256144642241232682816257114.29%8187.50%0823157152.39%817161750.53%38577050.00%11808071146365645320
2Barracuda11000000413110000004130000000000021.000481200614732524446422412322267154375.00%10100.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
3Bears5320000012843120000067-12200000061560.600121931016147325118446422412321343636861400.00%16381.25%0823157152.39%817161750.53%38577050.00%11808071146365645320
4BruinsF21100000550000000000002110000055020.50058130061473255344642241232401515324125.00%5180.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
5Checkers21100000550211000005500000000000020.50051015006147325434464224123263161634200.00%8187.50%0823157152.39%817161750.53%38577050.00%11808071146365645320
6Comets431000001183220000009632110000022060.7501120310061473251254464224123211735245912433.33%110100.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
7Condors11000000312110000003120000000000021.00036900614732532446422412322441621000%8187.50%0823157152.39%817161750.53%38577050.00%11808071146365645320
8Crunch20101000660000000000002010100066020.50061117006147325514464224123258131438300.00%6183.33%0823157152.39%817161750.53%38577050.00%11808071146365645320
9Firebirds30300000715-820200000511-61010000024-200.000713200061473258144642241232941828397228.57%13469.23%0823157152.39%817161750.53%38577050.00%11808071146365645320
10Griffins1010000034-1000000000001010000034-100.0003690061473253144642241232355618200.00%30100.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
11Gulls1010000023-11010000023-10000000000000.00023500614732525446422412321884132150.00%2150.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
12Icehogs3020001078-1000000000003020001078-120.33371118006147325614464224123290322336500.00%9366.67%0823157152.39%817161750.53%38577050.00%11808071146365645320
13Islanders1010000034-1000000000001010000034-100.00036900614732528446422412323541119300.00%3166.67%0823157152.39%817161750.53%38577050.00%11808071146365645320
14Marlies11000000312110000003120000000000021.000358006147325224464224123230154182150.00%20100.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
15Monsters1010000045-1000000000001010000045-100.00047110061473252844642241232349619200.00%3166.67%0823157152.39%817161750.53%38577050.00%11808071146365645320
16Moose210001005411000010034-11100000020230.750510150161473255544642241232572115343133.33%50100.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
17PenguinsF412001001320-720100100510-521100000810-230.3751321340061473251124464224123211833266815320.00%10640.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
18Phantoms11000000633110000006330000000000021.00061016006147325254464224123229185185120.00%000%0823157152.39%817161750.53%38577050.00%11808071146365645320
19Reign1010000025-31010000025-30000000000000.000235006147325244464224123241141423200.00%7271.43%1823157152.39%817161750.53%38577050.00%11808071146365645320
20Rocket41200010810-22010001037-42110000053240.50081321006147325106446422412321223142556116.67%19289.47%0823157152.39%817161750.53%38577050.00%11808071146365645320
21Silver Knights11000000431000000000001100000043121.00046100061473253344642241232172416100.00%2150.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
22StarsF11000000312110000003120000000000021.000347006147325314464224123223101414400.00%7185.71%0823157152.39%817161750.53%38577050.00%11808071146365645320
23Wolf Pack1000010034-1000000000001000010034-110.5003690061473251744642241232315817000%40100.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
24Wolves43100000171072110000044022000000136760.750173148106147325116446422412328624195316637.50%70100.00%0823157152.39%817161750.53%38577050.00%11808071146365645320
Total492021023211441422251010012117177-62410110111073658520.53114425239612614732513024464224123213864023737701212520.66%1593081.13%1823157152.39%817161750.53%38577050.00%11808071146365645320
_Since Last GM Reset492021023211441422251010012117177-62410110111073658520.53114425239612614732513024464224123213864023737701212520.66%1593081.13%1823157152.39%817161750.53%38577050.00%11808071146365645320
_Vs Conference3816150231111211112078012115766-9189701100554510420.5531121983101261473251013446422412321082312279595992121.21%1172082.91%0823157152.39%817161750.53%38577050.00%11808071146365645320
_Vs Division213301011696271011010113030011220000039327110.2626912018911614732556944642241232584164135339671420.90%541179.63%0823157152.39%817161750.53%38577050.00%11808071146365645320

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4952L21442523961302138640237377012
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4920212321144142
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25101012117177
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
24101111107365
Derniers 10 matchs
WLOTWOTL SOWSOL
520111
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1212520.66%1593081.13%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
446422412326147325
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
823157152.39%817161750.53%38577050.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11808071146365645320


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 - 2023-08-2615SenatorsF2Icehogs3ALSommaire du match
4 - 2023-08-2823Americans4SenatorsF5BWXSommaire du match
6 - 2023-08-3042Bears2SenatorsF1BLSommaire du match
8 - 2023-09-0162SenatorsF1Rocket2ALSommaire du match
10 - 2023-09-0371SenatorsF2PenguinsF7ALSommaire du match
11 - 2023-09-0486Comets2SenatorsF3BWSommaire du match
14 - 2023-09-07103SenatorsF2Comets1AWSommaire du match
16 - 2023-09-09118Phantoms3SenatorsF6BWSommaire du match
18 - 2023-09-11135SenatorsF3BruinsF2AWSommaire du match
20 - 2023-09-13149Bears1SenatorsF4BWSommaire du match
22 - 2023-09-15164SenatorsF4Bears1AWSommaire du match
24 - 2023-09-17180Firebirds6SenatorsF4BLSommaire du match
26 - 2023-09-19194SenatorsF6Wolves5AWSommaire du match
28 - 2023-09-21211PenguinsF4SenatorsF0BLSommaire du match
32 - 2023-09-25236SenatorsF3Islanders4ALSommaire du match
33 - 2023-09-26247Checkers2SenatorsF3BWSommaire du match
36 - 2023-09-29267PenguinsF6SenatorsF5BLXSommaire du match
38 - 2023-10-01283SenatorsF4Monsters5ALSommaire du match
41 - 2023-10-04299Firebirds5SenatorsF1BLSommaire du match
44 - 2023-10-07325Bears4SenatorsF1BLSommaire du match
46 - 2023-10-09338SenatorsF2BruinsF3ALSommaire du match
48 - 2023-10-11355Gulls3SenatorsF2BLSommaire du match
50 - 2023-10-13371SenatorsF0Comets1ALSommaire du match
52 - 2023-10-15383SenatorsF2Firebirds4ALSommaire du match
54 - 2023-10-17400Rocket6SenatorsF1BLSommaire du match
56 - 2023-10-19415SenatorsF3Griffins4ALSommaire du match
58 - 2023-10-21429Barracuda1SenatorsF4BWSommaire du match
60 - 2023-10-23443SenatorsF1Icehogs2ALSommaire du match
62 - 2023-10-25459SenatorsF2Moose0AWSommaire du match
64 - 2023-10-27470StarsF1SenatorsF3BWSommaire du match
68 - 2023-10-31495Wolves1SenatorsF3BWSommaire du match
71 - 2023-11-03516Rocket1SenatorsF2BWXXSommaire du match
73 - 2023-11-05533SenatorsF7Wolves1AWSommaire du match
75 - 2023-11-07542SenatorsF4Rocket1AWSommaire du match
77 - 2023-11-09555Reign5SenatorsF2BLSommaire du match
80 - 2023-11-12582Wolves3SenatorsF1BLSommaire du match
82 - 2023-11-14595SenatorsF2Crunch1AWXSommaire du match
84 - 2023-11-16615Moose4SenatorsF3BLXSommaire du match
86 - 2023-11-18630SenatorsF6PenguinsF3AWSommaire du match
87 - 2023-11-19642SenatorsF4Silver Knights3AWSommaire du match
90 - 2023-11-22653Comets4SenatorsF6BWSommaire du match
92 - 2023-11-24672SenatorsF4Icehogs3AWXXSommaire du match
93 - 2023-11-25683Americans4SenatorsF3BLXXSommaire du match
96 - 2023-11-28703SenatorsF2Bears0AWSommaire du match
97 - 2023-11-29716Marlies1SenatorsF3BWSommaire du match
101 - 2023-12-03741Condors1SenatorsF3BWSommaire du match
103 - 2023-12-05762SenatorsF3Wolf Pack4ALXSommaire du match
105 - 2023-12-07776Checkers3SenatorsF2BLSommaire du match
107 - 2023-12-09788SenatorsF4Crunch5ALSommaire du match
110 - 2023-12-12808Crunch-SenatorsF-
112 - 2023-12-14823SenatorsF-Islanders-
114 - 2023-12-16839Americans-SenatorsF-
117 - 2023-12-19865SenatorsF-Roadrunners-
119 - 2023-12-21871Moose-SenatorsF-
121 - 2023-12-23892SenatorsF-Canucks-
123 - 2023-12-25905BruinsF-SenatorsF-
125 - 2023-12-27921SenatorsF-Admirals-
127 - 2023-12-29933Crunch-SenatorsF-
129 - 2023-12-31953SenatorsF-Eagles-
131 - 2024-01-02965Marlies-SenatorsF-
133 - 2024-01-04976SenatorsF-Wolf Pack-
135 - 2024-01-06997Monsters-SenatorsF-
137 - 2024-01-081005SenatorsF-Checkers-
140 - 2024-01-111030Phantoms-SenatorsF-
142 - 2024-01-131045SenatorsF-Checkers-
144 - 2024-01-151061BruinsF-SenatorsF-
145 - 2024-01-161069SenatorsF-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2024-01-201094SenatorsF-Iowa Wild-
150 - 2024-01-211101Thunderbirds-SenatorsF-
154 - 2024-01-251126Wolf Pack-SenatorsF-
156 - 2024-01-271141SenatorsF-Moose-
159 - 2024-01-301158Wolf Pack-SenatorsF-
160 - 2024-01-311167SenatorsF-Americans-
163 - 2024-02-031191Islanders-SenatorsF-
167 - 2024-02-071220Wranglers-SenatorsF-
171 - 2024-02-111249Thunderbirds-SenatorsF-
173 - 2024-02-131257SenatorsF-Phantoms-
174 - 2024-02-141262SenatorsF-Marlies-
177 - 2024-02-171282Islanders-SenatorsF-
178 - 2024-02-181285SenatorsF-Firebirds-
179 - 2024-02-191296SenatorsF-Marlies-
181 - 2024-02-211312SenatorsF-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3214
Assistance46,99623,774
Assistance PCT93.99%95.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 2831 - 94.36% 106,529$2,663,228$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,722,898$ 2,875,000$ 2,875,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,664,086$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,704,466$ 75 16,346$ 1,225,950$




SenatorsF 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

SenatorsF 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

SenatorsF 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

SenatorsF 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

SenatorsF 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