Essayer le nouveau site
Connexion

SenatorsF
GP: 21 | W: 14 | L: 6 | OTL: 1 | P: 29
GF: 88 | GA: 79 | PP%: 23.29% | PK%: 69.14%
DG: Eric St-Amand | Morale : 59 | Moyenne d’équipe : 63
Prochains matchs #357 vs Barracuda
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Icehogs
13-7-3, 29pts
4
FINAL
3 SenatorsF
14-6-1, 29pts
Team Stats
W1SéquenceL1
6-4-1Fiche domicile9-1-1
7-3-2Fiche domicile5-5-0
6-3-1Derniers 10 matchs5-4-1
3.39Buts par match 4.19
2.83Buts contre par match 3.76
14.49%Pourcentage en avantage numérique23.29%
85.51%Pourcentage en désavantage numérique69.14%
SenatorsF
14-6-1, 29pts
1
FINAL
5 Canucks
12-11-0, 24pts
Team Stats
L1SéquenceL1
9-1-1Fiche domicile7-4-0
5-5-0Fiche domicile5-7-0
5-4-1Derniers 10 matchs5-5-0
4.19Buts par match 2.91
3.76Buts contre par match 3.09
23.29%Pourcentage en avantage numérique19.67%
69.14%Pourcentage en désavantage numérique83.16%
Barracuda
7-11-3, 17pts
2024-10-22
SenatorsF
14-6-1, 29pts
Statistiques d’équipe
SOL1SéquenceL1
4-6-1Fiche domicile9-1-1
3-5-2Fiche visiteur5-5-0
3-5-210 derniers matchs5-4-1
2.86Buts par match 4.19
3.33Buts contre par match 4.19
21.15%Pourcentage en avantage numérique23.29%
70.83%Pourcentage en désavantage numérique69.14%
SenatorsF
14-6-1, 29pts
2024-10-24
Gulls
10-9-3, 23pts
Statistiques d’équipe
L1SéquenceL1
9-1-1Fiche domicile6-2-3
5-5-0Fiche visiteur4-7-0
5-4-110 derniers matchs5-3-2
4.19Buts par match 2.91
3.76Buts contre par match 2.91
23.29%Pourcentage en avantage numérique14.93%
69.14%Pourcentage en désavantage numérique78.38%
SenatorsF
14-6-1, 29pts
2024-10-26
Wolves
7-9-4, 18pts
Statistiques d’équipe
L1SéquenceL2
9-1-1Fiche domicile4-5-2
5-5-0Fiche visiteur3-4-2
5-4-110 derniers matchs4-3-3
4.19Buts par match 2.85
3.76Buts contre par match 2.85
23.29%Pourcentage en avantage numérique17.91%
69.14%Pourcentage en désavantage numérique78.67%
Meneurs d'équipe
Buts
Olle Lycksell
8
Passes
Jakub Galvas
16
Points
Emil Bemstrom
21
Plus/Moins
Alexander Holtz
15
Victoires
Thomas(Chase) Perry
9
Pourcentage d’arrêts
Thomas(Chase) Perry
0.881

Statistiques d’équipe
Buts pour
88
4.19 GFG
Tirs pour
579
27.57 Avg
Pourcentage en avantage numérique
23.3%
17 GF
Début de zone offensive
36.4%
Buts contre
79
3.76 GAA
Tirs contre
657
31.29 Avg
Pourcentage en désavantage numérique
69.1%%
25 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralEric St-Amand
EntraîneurDarren Rumble
DivisionDivision Nord-Est
ConférenceConference 1
CapitaineEmil Bemstrom
Assistant #1Alec Regula
Assistant #2Alexander Holtz


Informations de l’aréna

Capacité3,000
Assistance2,848
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 56
Espoirs22


Historique d'équipe

Saison actuelle14-6-1 (29PTS)
Historique51-42-10 (0.495%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
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
1Emil Bemstrom (C)X100.006345947269768574717474756768476061670252900,000$
2Aleksi SaarelaX100.0063478875727676737772736466595361616602711,700,000$
3Michael PezzettaXX100.0084696076757082737068697166594964686502621,200,000$
4Carson MeyerXX100.0072468674707073706169686867534664606402711,600,000$
5Alexander Holtz (R) (A)XX100.006545917069729069617173706755457064640223900,000$
6Mathieu OlivierXX100.0079466973757572716468657164574761646402711,200,000$
7Stanislav GalievXX100.00564296707173717160736772666359475464N03211,550,000$
8Darren ArchibaldXX100.0062459471747772696867657267564838646403411,350,000$
9Nigel DawesXX100.0058429467677677676469677269676016636303911,350,000$
10Olle Lycksell (R)X100.006445887165697270617366706045457061620251900,000$
11Zach SolowX100.006645837367696972716465695947467864620252750,000$
12Jacob Olofsson (R)X100.005845907270707068726662705645457064610243750,000$
13Alec Regula (A)X100.007045797474767371456268756252476864650241900,000$
14Reece ScarlettX100.0062438275697073724570667145655950546503111,300,000$
15Calen AddisonX100.006445887368788772457666706053456864650242900,000$
16Alexander YounanX100.0066468075737277724571647057605062506502721,500,000$
17Jakub GalvasX100.006444927266727267456769726052496064640252750,000$
18Brett LernoutX100.007245777273705673456259745246455745630291800,000$
Rayé
1Brendan LeipsicXX100.006044967167808069636766706475515328640301900,000$
2Logan ShawXX100.006043966973808069626465706362485028630321800,000$
3Jiri SekacXX100.0060439271736770705969656962615047326303211,100,000$
4Curtis Douglas (R)X100.008070607279707065706765675945457032620243750,000$
5Lukas ZetterbergX100.007246737572676965656267646057516232620271800,000$
6Vaclav KarabacekXX100.0061459371716764666162626660454559296002821,000,000$
7Jamie ArnielXX100.005746927068666764605962686049463829590341900,000$
8Peter HrehorcakXX100.0062458970686460636358646262454553295803011,000,000$
9Paul PostmaX100.006045987073808069456566686461483438640351900,000$
10Robbie RussoX100.006245966971808069506666696447455035640311900,000$
11Mitchell Vande SompelX100.007149797268696959456161665745455731600272750,000$
MOYENNE D’ÉQUIPE100.00654786727172746959676669625548564963
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
1Thomas(Chase) Perry100.00807770807874787474766849505664610282700,000$
2Micheal Wall100.00707069797370747274757745512559590391700,000$
Rayé
MOYENNE D’ÉQUIPE100.0075747080767276737476734751416260
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darren Rumble70658393999963CAN534100,000$


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)C2071421152015153184513.21%336718.3724612570001581153.63%49600001.1400000200
2Michael PezzettaSenatorsF (Ott)LW/RW2171320143410592543193916.28%437017.651016580002501052.94%3400001.0800101121
3Jakub GalvasSenatorsF (Ott)D212161848013103311236.06%2544521.231451555000056000%000000.8100000120
4Alec RegulaSenatorsF (Ott)D2151318524031123072216.67%2646121.962241854000152100%000000.7800000021
5Alexander HoltzSenatorsF (Ott)LW/RW218101815003942143019.05%235016.711237580001191048.15%2700001.0300000111
6Mathieu OlivierSenatorsF (Ott)LW/RW2181018-3140351244112618.18%432715.572461356000002035.71%2800001.1000000120
7Carson MeyerSenatorsF (Ott)LW/RW2151015-619591449112310.20%434916.651349550000231057.89%1900000.8600000010
8Stanislav GalievSenatorsF (Ott)LW/RW215101580081227102218.52%525912.3500000000001030.77%1300001.1600000112
9Reece ScarlettSenatorsF (Ott)D2131114118017171751417.65%2538918.54011723000131210%000000.7200000003
10Calen AddisonSenatorsF (Ott)D2159145100141631101316.13%2546522.164262160000058010%000000.6000000011
11Olle LycksellSenatorsF (Ott)RW208513940141839112820.51%529814.93000010001381150.00%1400000.8700000220
12Aleksi SaarelaSenatorsF (Ott)C206612-60022744113013.64%433016.5124611560000180151.63%43000000.7300000101
13Zach SolowSenatorsF (Ott)C214711460283133122312.12%627513.1302201000011047.59%31100000.8000000002
14Jacob OlofssonSenatorsF (Ott)C2135822013342131314.29%626312.53000000000411155.94%32000000.6100000001
15Brett LernoutSenatorsF (Ott)D15178816024665616.67%1425316.8800001000030000%000000.6300000000
16Alexander YounanSenatorsF (Ott)D1525701401812152913.33%1631120.79123936000021000%000000.4500000100
17Nigel DawesSenatorsF (Ott)LW/RW20516-3401062231222.73%120510.2900000000001144.44%900000.5800000000
18Darren ArchibaldSenatorsF (Ott)LW/RW21246-32016131561113.33%422010.4900001000030065.22%2300000.5400000001
19Curtis DouglasSenatorsF (Ott)C1011100201010%01111.8200000000000035.71%1400001.6900000000
20Mackenzie MacEachernSenatorsLW/RW11011000050120.00%01818.3500001000030025.00%1200001.0900000000
21Jiri SekacSenatorsF (Ott)LW/RW1011000032010%01212.420000000000000%100001.6100000000
22Lukas ZetterbergSenatorsF (Ott)C1011100002000%01414.3700011000000037.50%2400001.3900000000
23Paul PostmaSenatorsF (Ott)D6101-1804231733.33%610016.710001000017010%000000.2000000000
24Robbie RussoSenatorsF (Ott)D5011-120572010%27615.360000000000000%000000.2600000000
25Mitchell Vande SompelSenatorsF (Ott)D1000100000010%01616.130000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne37888160248811771532633757917040115.20%187619516.39173047130585000851814851.49%177500000.8000101111414
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
1Thomas(Chase) PerrySenatorsF (Ott)159310.8813.51838404941202000138100
2Micheal WallSenatorsF (Ott)95300.8814.06429202924400100813000
Statistiques d’équipe totales ou en moyenne2414610.8813.691267607865602102121100


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
Alec RegulaSenatorsF (Ott)D242000-08-06No203 Lbs6 ft4NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Aleksi SaarelaSenatorsF (Ott)C271997-01-07No200 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Alexander HoltzSenatorsF (Ott)LW/RW222002-01-23Yes195 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-06-07Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Alexander YounanSenatorsF (Ott)D271997-03-14No190 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Brendan LeipsicSenatorsF (Ott)LW/RW301994-05-19No174 Lbs5 ft9NoNoFree AgentNoNo12024-09-05Pro & Farm900,000$0$0$No------------------Lien
Brett LernoutSenatorsF (Ott)D291995-09-24No214 Lbs6 ft4NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Calen AddisonSenatorsF (Ott)D242000-04-11No173 Lbs5 ft11NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Carson Meyer (contrat à 1 volet)SenatorsF (Ott)LW/RW271997-08-18No184 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,600,000$1,600,000$1,176,216$No------------------Lien
Curtis DouglasSenatorsF (Ott)C242000-03-06Yes242 Lbs6 ft9NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Darren ArchibaldSenatorsF (Ott)LW/RW341990-02-09No209 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,350,000$0$0$No------------------Lien
Emil BemstromSenatorsF (Ott)C251999-06-01No195 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Jacob OlofssonSenatorsF (Ott)C242000-02-08Yes192 Lbs6 ft2NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Jakub GalvasSenatorsF (Ott)D251999-06-15No185 Lbs5 ft11NoNoTrade2024-05-15NoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Jamie ArnielSenatorsF (Ott)LW/RW341989-11-16No182 Lbs5 ft10NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Jiri SekacSenatorsF (Ott)LW/RW321992-06-10No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,100,000$0$0$No------------------Lien
Logan ShawSenatorsF (Ott)LW/RW321992-10-05No208 Lbs6 ft3NoNoFree AgentNoNo12024-09-05Pro & Farm800,000$0$0$No------------------Lien
Lukas ZetterbergSenatorsF (Ott)C271997-03-27No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Mathieu OlivierSenatorsF (Ott)LW/RW271997-02-11No210 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Michael PezzettaSenatorsF (Ott)LW/RW261998-03-13No216 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Micheal WallSenatorsF (Ott)G391985-07-25No204 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Mitchell Vande SompelSenatorsF (Ott)D271997-02-11No190 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Nigel DawesSenatorsF (Ott)LW/RW391985-02-09No200 Lbs5 ft8NoNoN/ANoNo1Pro & Farm1,350,000$0$0$No------------------Lien
Olle LycksellSenatorsF (Ott)RW251999-08-24Yes163 Lbs5 ft10NoNoFree AgentNoNo12024-06-27Pro & Farm900,000$0$0$No------------------Lien
Paul PostmaSenatorsF (Ott)D351989-02-22No198 Lbs6 ft5NoNoFree AgentNoNo12024-09-05Pro & Farm900,000$0$0$No------------------Lien
Peter HrehorcakSenatorsF (Ott)LW/RW301994-05-30No180 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Reece ScarlettSenatorsF (Ott)D311993-03-01No175 Lbs6 ft1NoNoN/ANoNo12023-12-30Pro & Farm1,300,000$0$0$No------------------Lien
Robbie RussoSenatorsF (Ott)D311993-02-15No190 Lbs6 ft0NoNoFree AgentNoNo12024-09-05Pro & Farm900,000$0$0$No------------------Lien
Stanislav GalievSenatorsF (Ott)LW/RW321992-01-17No196 Lbs6 ft1YesNoN/ANoNo1Pro & Farm1,550,000$0$0$No------------------Lien
Thomas(Chase) PerrySenatorsF (Ott)G281996-02-08No189 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Vaclav KarabacekSenatorsF (Ott)LW/RW281996-05-02No198 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Zach SolowSenatorsF (Ott)C251998-11-06No174 Lbs5 ft9NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3128.71194 Lbs6 ft11.481,016,129$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaEmil BemstromAlexander Holtz30122
2Carson MeyerAleksi SaarelaMathieu Olivier30122
3Stanislav GalievZach SolowOlle Lycksell30122
4Nigel DawesJacob OlofssonDarren Archibald10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander YounanCalen Addison35122
2Jakub GalvasAlec Regula35122
3Reece ScarlettBrett Lernout30122
4Alexander YounanCalen Addison0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaEmil BemstromAlexander Holtz50122
2Carson MeyerAleksi SaarelaMathieu Olivier50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander YounanCalen Addison50122
2Jakub GalvasAlec Regula50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Emil BemstromMichael Pezzetta50122
2Jacob OlofssonOlle Lycksell50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec RegulaBrett Lernout50122
2Jakub GalvasCalen Addison50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Emil Bemstrom50122Alec RegulaBrett Lernout50122
2Jacob Olofsson50122Jakub GalvasCalen Addison50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Emil BemstromAlexander Holtz50122
2Aleksi SaarelaMichael Pezzetta50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander YounanCalen Addison50122
2Jakub GalvasAlec Regula50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaEmil BemstromAlexander HoltzAlexander YounanCalen Addison
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaEmil BemstromOlle LycksellAlec RegulaBrett Lernout
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Olle Lycksell, Stanislav Galiev, Zach SolowOlle Lycksell, Stanislav GalievAlexander Holtz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Reece Scarlett, Brett Lernout, Calen AddisonReece ScarlettAlexander Younan, Reece Scarlett
Tirs de pénalité
Emil Bemstrom, Alexander Holtz, Michael Pezzetta, Aleksi Saarela, Carson Meyer
Gardien
#1 : Micheal Wall, #2 : Thomas(Chase) Perry


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
1Americans11000000633110000006330000000000021.000611170032312233818517521093412121933100.00%6350.00%031264248.60%39574053.38%20738254.19%484327502161282141
2Bears11000000312110000003120000000000021.000358003231223261851752109301010185120.00%50100.00%031264248.60%39574053.38%20738254.19%484327502161282141
3BruinsF11000000422110000004220000000000021.00048120032312232518517521092915611300.00%20100.00%031264248.60%39574053.38%20738254.19%484327502161282141
4Canucks1010000015-4000000000001010000015-400.000112003231223231851752109365413500.00%2150.00%031264248.60%39574053.38%20738254.19%484327502161282141
5Checkers211000001192110000007431010000045-120.500112031003231223681851752109693012448225.00%6266.67%031264248.60%39574053.38%20738254.19%484327502161282141
6Comets2100100010640000000000021001000106441.00010192900323122356185175210954181421800.00%7271.43%031264248.60%39574053.38%20738254.19%484327502161282141
7Crunch20200000412-81010000016-51010000036-300.0004711003231223531851752109561625365120.00%10550.00%031264248.60%39574053.38%20738254.19%484327502161282141
8Firebirds1010000034-1000000000001010000034-100.000369003231223231851752109179664125.00%3166.67%031264248.60%39574053.38%20738254.19%484327502161282141
9Icehogs1000010034-11000010034-10000000000010.5003580032312232218517521093988192150.00%4175.00%031264248.60%39574053.38%20738254.19%484327502161282141
10Islanders220000001174110000006421100000053241.000112132003231223551851752109581114317228.57%7185.71%031264248.60%39574053.38%20738254.19%484327502161282141
11Marlies11000000651110000006510000000000021.00061218003231223261851752109265613300.00%3166.67%031264248.60%39574053.38%20738254.19%484327502161282141
12PenguinsF11000000532000000000001100000053221.00051015003231223331851752109511612145240.00%6266.67%031264248.60%39574053.38%20738254.19%484327502161282141
13Phantoms2010100078-1100010004311010000035-220.50071219103231223431851752109611412275120.00%6183.33%031264248.60%39574053.38%20738254.19%484327502161282141
14Rocket11000000422110000004220000000000021.000461000323122330185175210933810204125.00%50100.00%031264248.60%39574053.38%20738254.19%484327502161282141
15Wolves210010001082100010005411100000054141.000101727003231223581851752109641032346233.33%9544.44%031264248.60%39574053.38%20738254.19%484327502161282141
Total2111603100887991171021004938111045010003941-2290.690881602481032312235791851752109657187183326731723.29%812569.14%031264248.60%39574053.38%20738254.19%484327502161282141
_Since Last GM Reset2111603100887991171021004938111045010003941-2290.690881602481032312235791851752109657187183326731723.29%812569.14%031264248.60%39574053.38%20738254.19%484327502161282141
_Vs Conference19115030008470141071020004634129440100038362280.737841542381032312235341851752109582174171294661624.24%752369.33%031264248.60%39574053.38%20738254.19%484327502161282141
_Vs Division1040000004633134400000018126600000002821780.40046841301032312232711851752109318799414536822.22%401172.50%031264248.60%39574053.38%20738254.19%484327502161282141

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2129L18816024857965718718332610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2111631008879
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
117121004938
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
104510003941
Derniers 10 matchs
WLOTWOTL SOWSOL
441100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
731723.29%812569.14%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
18517521093231223
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
31264248.60%39574053.38%20738254.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
484327502161282141


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
1 - 2024-09-036Wolves4SenatorsF5BWXSommaire du match
3 - 2024-09-0522SenatorsF5Wolves4AWSommaire du match
6 - 2024-09-0837Islanders4SenatorsF6BWSommaire du match
8 - 2024-09-1056SenatorsF4Checkers5ALSommaire du match
11 - 2024-09-1376SenatorsF3Crunch6ALSommaire du match
12 - 2024-09-1487Bears1SenatorsF3BWSommaire du match
14 - 2024-09-16104SenatorsF5PenguinsF3AWSommaire du match
16 - 2024-09-18118Phantoms3SenatorsF4BWXSommaire du match
20 - 2024-09-22142Checkers4SenatorsF7BWSommaire du match
22 - 2024-09-24157SenatorsF5Islanders3AWSommaire du match
24 - 2024-09-26170Rocket2SenatorsF4BWSommaire du match
26 - 2024-09-28193BruinsF2SenatorsF4BWSommaire du match
27 - 2024-09-29200SenatorsF3Phantoms5ALSommaire du match
30 - 2024-10-02224SenatorsF5Comets2AWSommaire du match
33 - 2024-10-05239Marlies5SenatorsF6BWSommaire du match
36 - 2024-10-08258SenatorsF3Firebirds4ALSommaire du match
38 - 2024-10-10268SenatorsF5Comets4AWXSommaire du match
39 - 2024-10-11279Crunch6SenatorsF1BLSommaire du match
42 - 2024-10-14298Americans3SenatorsF6BWSommaire du match
45 - 2024-10-17322Icehogs4SenatorsF3BLXSommaire du match
47 - 2024-10-19338SenatorsF1Canucks5ALSommaire du match
50 - 2024-10-22357Barracuda-SenatorsF-
52 - 2024-10-24374SenatorsF-Gulls-
54 - 2024-10-26386SenatorsF-Wolves-
56 - 2024-10-28397Iowa Wild-SenatorsF-
59 - 2024-10-31420Moose-SenatorsF-
61 - 2024-11-02431SenatorsF-Firebirds-
64 - 2024-11-05453Wolf Pack-SenatorsF-
66 - 2024-11-07466SenatorsF-Wolf Pack-
68 - 2024-11-09480SenatorsF-Americans-
70 - 2024-11-11491SenatorsF-Eagles-
71 - 2024-11-12504Americans-SenatorsF-
74 - 2024-11-15522Marlies-SenatorsF-
78 - 2024-11-19552Comets-SenatorsF-
80 - 2024-11-21571SenatorsF-Wolf Pack-
81 - 2024-11-22581BruinsF-SenatorsF-
84 - 2024-11-25600SenatorsF-Marlies-
86 - 2024-11-27613Canucks-SenatorsF-
87 - 2024-11-28628SenatorsF-Canucks-
90 - 2024-12-01646Wolf Pack-SenatorsF-
91 - 2024-12-02660SenatorsF-Reign-
94 - 2024-12-05678Comets-SenatorsF-
98 - 2024-12-09703SenatorsF-Americans-
99 - 2024-12-10712Crunch-SenatorsF-
101 - 2024-12-12731SenatorsF-Rocket-
103 - 2024-12-14746Phantoms-SenatorsF-
106 - 2024-12-17759SenatorsF-Moose-
108 - 2024-12-19773Checkers-SenatorsF-
111 - 2024-12-22797SenatorsF-Checkers-
113 - 2024-12-24810Condors-SenatorsF-
116 - 2024-12-27834Roadrunners-SenatorsF-
117 - 2024-12-28844SenatorsF-PenguinsF-
120 - 2024-12-31862SenatorsF-Rocket-
121 - 2025-01-01873Islanders-SenatorsF-
124 - 2025-01-04892SenatorsF-Marlies-
126 - 2025-01-06906Rocket-SenatorsF-
128 - 2025-01-08924SenatorsF-Admirals-
130 - 2025-01-10936Wolves-SenatorsF-
131 - 2025-01-11949SenatorsF-Islanders-
134 - 2025-01-14969Silver Knights-SenatorsF-
137 - 2025-01-17986SenatorsF-BruinsF-
138 - 2025-01-181000PenguinsF-SenatorsF-
141 - 2025-01-211024SenatorsF-Moose-
142 - 2025-01-221031Admirals-SenatorsF-
145 - 2025-01-251051SenatorsF-BruinsF-
146 - 2025-01-261063SenatorsF-Phantoms-
147 - 2025-01-271071Bears-SenatorsF-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-01-301089SenatorsF-Monsters-
151 - 2025-01-311102PenguinsF-SenatorsF-
155 - 2025-02-041124SenatorsF-Griffins-
156 - 2025-02-051134Monsters-SenatorsF-
159 - 2025-02-081155SenatorsF-StarsF-
161 - 2025-02-101166Moose-SenatorsF-
162 - 2025-02-111172SenatorsF-Crunch-
164 - 2025-02-131189SenatorsF-Wranglers-
167 - 2025-02-161205Firebirds-SenatorsF-
172 - 2025-02-211231Firebirds-SenatorsF-
175 - 2025-02-241254Gulls-SenatorsF-
178 - 2025-02-271270SenatorsF-Bears-
180 - 2025-03-011283Gulls-SenatorsF-
181 - 2025-03-021293SenatorsF-Bears-
184 - 2025-03-051312SenatorsF-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3216
Assistance20,82610,502
Assistance PCT94.66%95.47%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2848 - 94.93% 112,775$1,240,523$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
800,389$ 2,990,000$ 2,990,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 773,884$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,383,245$ 136 16,703$ 2,271,608$




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
1Emil Bemstrom10238448213104520226214.50%26188118.451215275710155353.22%10.87210
2Stanislav Galiev1032048684429862029.90%16159715.51310133601133143.75%00.8507
3Michael Pezzetta10229346381482549222412.95%20171516.8257123000044347.65%00.7303
4Mathieu Olivier103252954-2561648219312.95%15146514.2256112600005046.09%10.7411
5Gustav Olofsson8284553-4509862859.41%97178921.8351217330003100%00.5900

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
1Erik Kallgren57232190.8972.8132440415214810010.69733
2Thomas(Chase) Perry1711310.8893.26958405246902000
3Micheal Wall1710600.8673.8086820554140111.0003
4Blake Weyrick2471200.8903.11117781615550001.0002

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
Saison régulière
1582303602455240248-841141801224110130-204116180123113011812832404246641599765812223976074270073226468261413012084421.15%2534681.82%11356260452.07%1345265950.58%660132050.00%1989136419166121085536
162111603100887991171021004938111045010003941-229881602481032312235791851752109657187183326731723.29%812569.14%031264248.60%39574053.38%20738254.19%484327502161282141
Total Saison régulière103414205555328327152211903324159168-95120230223116915910112328584912251311078015281894591791082292186979716272816121.71%3347178.74%11668324651.39%1740339951.19%867170250.94%2473169124197731368677
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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