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SenatorsF
GP: 72 | W: 34 | L: 32 | OTL: 6 | P: 74
GF: 232 | GA: 253 | PP%: 19.13% | PK%: 73.42%
DG: Eric St-Amand | Morale : 45 | Moyenne d’équipe : 63
Prochains matchs #1166 vs Moose
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Centre de jeu
Monsters
43-22-6, 92pts
6
FINAL
1 SenatorsF
34-32-6, 74pts
Team Stats
W4SéquenceL3
25-7-5Fiche domicile20-12-4
18-15-1Fiche domicile14-20-2
6-3-1Derniers 10 matchs0-9-1
3.51Buts par match 3.22
3.03Buts contre par match 3.51
22.71%Pourcentage en avantage numérique19.13%
80.11%Pourcentage en désavantage numérique73.42%
SenatorsF
34-32-6, 74pts
0
FINAL
5 StarsF
42-25-4, 88pts
Team Stats
L3SéquenceW3
20-12-4Fiche domicile22-13-2
14-20-2Fiche domicile20-12-2
0-9-1Derniers 10 matchs8-2-0
3.22Buts par match 3.61
3.51Buts contre par match 3.17
19.13%Pourcentage en avantage numérique25.00%
73.42%Pourcentage en désavantage numérique75.11%
Moose
40-29-5, 85pts
2025-02-12
SenatorsF
34-32-6, 74pts
Statistiques d’équipe
W3SéquenceL3
22-11-3Fiche domicile20-12-4
18-18-2Fiche visiteur14-20-2
7-3-010 derniers matchs0-9-1
3.54Buts par match 3.22
3.30Buts contre par match 3.22
20.43%Pourcentage en avantage numérique19.13%
77.57%Pourcentage en désavantage numérique73.42%
SenatorsF
34-32-6, 74pts
2025-02-13
Crunch
35-32-5, 75pts
Statistiques d’équipe
L3SéquenceOTW1
20-12-4Fiche domicile21-12-3
14-20-2Fiche visiteur14-20-2
0-9-110 derniers matchs5-5-0
3.22Buts par match 3.10
3.51Buts contre par match 3.10
19.13%Pourcentage en avantage numérique18.18%
73.42%Pourcentage en désavantage numérique79.82%
SenatorsF
34-32-6, 74pts
2025-02-15
Wranglers
36-26-10, 82pts
Statistiques d’équipe
L3SéquenceL1
20-12-4Fiche domicile21-12-4
14-20-2Fiche visiteur15-14-6
0-9-110 derniers matchs5-4-1
3.22Buts par match 3.31
3.51Buts contre par match 3.31
19.13%Pourcentage en avantage numérique20.76%
73.42%Pourcentage en désavantage numérique81.12%
Meneurs d'équipe
Buts
Alexander Holtz
29
Passes
Emil Bemstrom
43
Points
Emil Bemstrom
60
Plus/Moins
Michael Pezzetta
17
Victoires
Thomas(Chase) Perry
20
Pourcentage d’arrêts
Micheal Wall
0.883

Statistiques d’équipe
Buts pour
232
3.22 GFG
Tirs pour
2107
29.26 Avg
Pourcentage en avantage numérique
19.1%
44 GF
Début de zone offensive
40.2%
Buts contre
253
3.51 GAA
Tirs contre
2095
29.10 Avg
Pourcentage en désavantage numérique
73.4%%
63 GA
Début de la zone défensive
39.8%
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
Assistance2,870
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure19
Limite contact 53 / 56
Espoirs22


Historique d'équipe

Saison actuelle34-32-6 (74PTS)
Historique71-68-11 (0.473%)
Apparitions en séries éliminatoires 0
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
1Aleksi SaarelaX100.0063478875727676737772736466595361496602811,700,000$
2Mackenzie MacEachernXX100.0056409170727273746371697262665954576503011,300,000$
3Michael PezzettaXX100.0084696076757082737068697166594964586502621,200,000$
4Carson MeyerXX100.0072468674707073706169686867534664636402711,600,000$
5Alexander Holtz (R) (A)XX100.006545917069729069617173706755457063640233900,000$
6Mathieu OlivierXX100.0079466973757572716468657164574761636402811,200,000$
7Stanislav GalievXX100.0056429670717371716073677266635947536403311,550,000$
8Darren ArchibaldXX100.0062459471747772696867657267564838636403511,350,000$
9Curtis Douglas (R)X100.008070607279707065706765675945457011620243750,000$
10Olle Lycksell (R)X100.006445887165697270617366706045457051620251900,000$
11Zach SolowX100.006645837367696972716465695947467863620262750,000$
12Lukas ZetterbergX100.007246737572676965656267646057516215620271800,000$
13Nikita TryamkinX100.0080517273847186694572677460695455346703023,500,000$
14Alec Regula (A)X100.007045797474767371456268756252476863650241900,000$
15Calen AddisonX100.006445887368788772457666706053456863650242900,000$
16Alexander YounanX100.0066468075737277724571647057605062506502721,500,000$
17Guillaume BriseboisX100.0061459275717076714571627260615164106502721,300,000$
18Jakub GalvasX100.006444927266727267456769726052496049640252750,000$
Rayé
1Emil Bemstrom (C)X55.486345947269768574717474756768476055670252900,000$
2Brendan LeipsicXX100.006044967167808069636766706475515320640301900,000$
3Logan ShawXX100.006043966973808069626465706362485020630321800,000$
4Jiri SekacXX100.0060439271736770705969656962615047206303211,100,000$
5Nigel DawesXX100.0058429467677677676469677269676016276304011,350,000$
6Jacob Olofsson (R)X84.965845907270707068726662705645457049610253750,000$
7Vaclav KarabacekXX100.0061459371716764666162626660454559206002821,000,000$
8Jamie ArnielXX100.005746927068666764605962686049463820590351900,000$
9Peter HrehorcakXX100.0062458970686460636358646262454553205803011,000,000$
10Reece ScarlettX100.0062438275697073724570667145655950346503111,300,000$
11Paul PostmaX100.006045987073808069456566686461483419640351900,000$
12Robbie RussoX100.006245966971808069506666696447455019640311900,000$
13Brett LernoutX100.007245777273705673456259745246455721630291800,000$
14Mitchell Vande SompelX100.007149797268696959456161665745455719600282750,000$
MOYENNE D’ÉQUIPE98.09654686727172746958676670615649573963
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) Perry100.00807770807874787474766849505638610292700,000$
2Micheal Wall100.00707069797370747274757745512561590391700,000$
Rayé
MOYENNE D’ÉQUIPE100.0075747080767276737476734751415060
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)C64174360518030147172591319.88%10121719.02415193617600031605151.08%157600000.9912000333
2Alexander HoltzSenatorsF (Ott)LW/RW72292655612062461746112316.67%12127317.6951116331960002595141.32%12100000.8602000534
3Michael PezzettaSenatorsF (Ott)LW/RW69222951179030176781606012213.75%15126818.383583218500041503053.06%9800000.8012105442
4Mathieu OlivierSenatorsF (Ott)LW/RW72212849-2520111571895111711.11%8119516.61381141195000004040.96%8300000.8200000341
5Alec RegulaSenatorsF (Ott)D721233451064010954118337110.17%81157621.907411631980002160100%000000.5700000042
6Aleksi SaarelaSenatorsF (Ott)C6614304498013103147461059.52%11112217.013710321810000181154.28%143700000.7800000216
7Jakub GalvasSenatorsF (Ott)D6663238528044528534717.06%80141921.512810351730000145100%000000.5400000131
8Calen AddisonSenatorsF (Ott)D72142135-152005554116324912.07%85154221.427512671920001128120%000000.4500000032
9Stanislav GalievSenatorsF (Ott)LW/RW72122234300255512839889.38%7100713.9901125000031040.35%5700000.6800000222
10Zach SolowSenatorsF (Ott)C72141630-92608794125317411.20%12103714.41022319000052147.97%120700000.5800000223
11Olle LycksellSenatorsF (Ott)RW7114152912355355132399610.61%18115316.250110900021381138.30%9400100.5000001223
12Carson MeyerSenatorsF (Ott)LW/RW72101626-123715493912332958.13%982511.4613415840000331038.46%5200000.6300101120
13Mackenzie MacEachernSenatorsF (Ott)LW/RW41111526-1320184391236012.09%770817.2843717112000041152.38%6300000.7300000201
14Alexander YounanSenatorsF (Ott)D6632023-1153575335415355.56%56119718.151342275000146000%000000.3800001200
15Brett LernoutSenatorsF (Ott)D35315181628052181371223.08%4460617.3310112000082000%000000.5900000201
16Reece ScarlettSenatorsF (Ott)D4041418918031283092613.33%5274018.511121143000147210%000000.4900000003
17Nikita TryamkinSenatorsF (Ott)D3231417-950108827358168.57%4169021.592351980000067000%000000.4900020011
18Jacob OlofssonSenatorsF (Ott)C647916360257156113012.50%146349.920000000031493153.49%83000000.5000000011
19Darren ArchibaldSenatorsF (Ott)LW/RW727714-320292665214210.77%115447.56000010000210059.52%4200000.5100000001
20Nigel DawesSenatorsF (Ott)LW/RW34661214017124152814.63%13229.4801128000051157.89%1900000.7400000010
21Guillaume BriseboisSenatorsF (Ott)D38189-12602623269103.85%4368418.02011515000266000%000000.2600000000
22Lukas ZetterbergSenatorsF (Ott)C12055140566460%214612.240002140000110042.64%19700000.6800000000
23Dylan CoghlanSenatorsD101344407790211.11%318418.4100027011011000%000000.4300000100
24Paul PostmaSenatorsF (Ott)D1213418066921411.11%1123119.33022425000126010%000000.3400000000
25Curtis DouglasSenatorsF (Ott)C10022-760211416070%115215.25000000001130047.40%17300000.2600000000
26Jiri SekacSenatorsF (Ott)LW/RW1011000032010%01212.420000000000000%100001.6100000000
27Robbie RussoSenatorsF (Ott)D5011-120572010%27615.360000000000000%000000.2600000000
28Mitchell Vande SompelSenatorsF (Ott)D1000100000010%01616.130000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1313232434666-257165121911582124631143310.92%6362159116.4444841284442008011231557331250.55%605000100.6226228323637
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)49202130.8783.5325994015312550200.60054527211
2Micheal WallSenatorsF (Ott)35141130.8833.3717462098839001002745000
Statistiques d’équipe totales ou en moyenne84343260.8803.47434560251209402157272211


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 Plafond 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
Alec RegulaSenatorsF (Ott)D242000-08-06USANo203 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Aleksi SaarelaSenatorsF (Ott)C281997-01-07FINNo200 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Alexander HoltzSenatorsF (Ott)LW/RW232002-01-23SWEYes195 Lbs6 ft0NoNoProspectNoNo32024-06-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Alexander YounanSenatorsF (Ott)D271997-03-14SWENo190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Brendan LeipsicSenatorsF (Ott)LW/RW301994-05-19CANNo174 Lbs5 ft9NoNoFree AgentNoNo12024-09-05FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Brett LernoutSenatorsF (Ott)D291995-09-24CANNo214 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Calen AddisonSenatorsF (Ott)D242000-04-11CANNo173 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Carson Meyer (contrat à 1 volet)SenatorsF (Ott)LW/RW271997-08-18USANo184 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,600,000$1,600,000$216,216$No---------------------------Lien
Curtis DouglasSenatorsF (Ott)C242000-03-06CANYes242 Lbs6 ft9NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Darren ArchibaldSenatorsF (Ott)LW/RW351990-02-09CANNo209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$0$0$No---------------------------Lien
Emil Bemstrom (sur la masse salariale)SenatorsF (Ott)C251999-06-01SWENo195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$Yes900,000$--------900,000$--------No--------Lien
Guillaume BriseboisSenatorsF (Ott)D271997-07-21CANNo174 Lbs6 ft2NoNoWaiverNoNo22024-05-30FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Jacob Olofsson (sur la masse salariale)SenatorsF (Ott)C252000-02-08SWEYes192 Lbs6 ft2NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$Yes750,000$750,000$-------750,000$750,000$-------NoNo-------
Jakub GalvasSenatorsF (Ott)D251999-06-15CZENo185 Lbs5 ft11NoNoTrade2024-05-15NoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Jamie ArnielSenatorsF (Ott)LW/RW351989-11-16CANNo182 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Jiri SekacSenatorsF (Ott)LW/RW321992-06-10CHENo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Logan ShawSenatorsF (Ott)LW/RW321992-10-05CANNo208 Lbs6 ft3NoNoFree AgentNoNo12024-09-05FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Lukas ZetterbergSenatorsF (Ott)C271997-03-27SWENo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Mackenzie MacEachernSenatorsF (Ott)LW/RW301994-03-09USANo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Mathieu OlivierSenatorsF (Ott)LW/RW281997-02-11CANNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Michael PezzettaSenatorsF (Ott)LW/RW261998-03-13CANNo216 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Micheal WallSenatorsF (Ott)G391985-07-25CANNo204 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Mitchell Vande SompelSenatorsF (Ott)D281997-02-11CANNo190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Nigel DawesSenatorsF (Ott)LW/RW401985-02-09CANNo200 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$0$0$No---------------------------Lien
Nikita TryamkinSenatorsF (Ott)D301994-08-30RUSNo265 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm3,500,000$0$0$No3,500,000$--------3,500,000$--------No--------Lien
Olle LycksellSenatorsF (Ott)RW251999-08-24SWEYes163 Lbs5 ft10NoNoFree AgentNoNo12024-06-27FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Paul PostmaSenatorsF (Ott)D351989-02-22CANNo198 Lbs6 ft5NoNoFree AgentNoNo12024-09-05FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Peter HrehorcakSenatorsF (Ott)LW/RW301994-05-30SVKNo180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Reece ScarlettSenatorsF (Ott)D311993-03-01CANNo175 Lbs6 ft1NoNoN/ANoNo12023-12-30FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Robbie RussoSenatorsF (Ott)D311993-02-15USANo190 Lbs6 ft0NoNoFree AgentNoNo12024-09-05FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Stanislav GalievSenatorsF (Ott)LW/RW331992-01-17RUSNo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,550,000$0$0$No---------------------------Lien
Thomas(Chase) PerrySenatorsF (Ott)G291996-02-08USANo189 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Vaclav KarabacekSenatorsF (Ott)LW/RW281996-05-02CZENo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Zach SolowSenatorsF (Ott)C261998-11-06USANo174 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3429.06196 Lbs6 ft11.501,105,882$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaAleksi SaarelaAlexander Holtz30122
2Mackenzie MacEachernZach SolowMathieu Olivier30122
3Stanislav GalievCurtis DouglasOlle Lycksell30122
4Carson MeyerLukas ZetterbergDarren Archibald10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander YounanCalen Addison35122
2Jakub GalvasAlec Regula35122
3Guillaume BriseboisNikita Tryamkin30122
4Alexander YounanCalen Addison0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaAleksi SaarelaAlexander Holtz50122
2Mackenzie MacEachernZach SolowMathieu Olivier50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub GalvasAlec Regula50122
2Alexander YounanCalen Addison50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Curtis DouglasStanislav Galiev50122
2Lukas ZetterbergDarren Archibald50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikita TryamkinAlec Regula50122
2Guillaume BriseboisJakub Galvas50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Curtis Douglas50122Nikita TryamkinAlec Regula50122
2Lukas Zetterberg50122Guillaume BriseboisJakub Galvas50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Aleksi SaarelaAlexander Holtz50122
2Zach SolowMichael Pezzetta50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander YounanCalen Addison50122
2Jakub GalvasAlec Regula50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaAleksi SaarelaAlexander HoltzCalen AddisonAlec Regula
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stanislav GalievCurtis DouglasDarren ArchibaldNikita TryamkinAlec Regula
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Curtis Douglas, Stanislav Galiev, Olle LycksellCurtis Douglas, Stanislav GalievAlexander Holtz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Guillaume Brisebois, Alexander Younan, Calen AddisonGuillaume BriseboisCalen Addison, Alexander Younan
Tirs de pénalité
Alexander Holtz, Michael Pezzetta, Mathieu Olivier, Aleksi Saarela, Mackenzie MacEachern
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
1Admirals20100001511-61010000027-51000000134-110.2505914007981685617106846952465231028200.00%5420.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
2Americans431000001596220000009542110000064260.750152944007981685127710684695241084041658450.00%17382.35%01222241550.60%1228239251.34%608120450.50%171911791677541953477
3Barracuda11000000615110000006150000000000021.000612180079816854371068469524214219100.00%10100.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
4Bears21100000761211000007610000000000020.5007121900798168563710684695245918163610330.00%8187.50%01222241550.60%1228239251.34%608120450.50%171911791677541953477
5BruinsF43100000191182200000011562110000086260.750193756007981685129710684695249737166212433.33%7185.71%01222241550.60%1228239251.34%608120450.50%171911791677541953477
6Canucks32100000910-1110000004222110000058-340.667915240079816857871068469524882526531119.09%13284.62%01222241550.60%1228239251.34%608120450.50%171911791677541953477
7Checkers413000001323-1021100000810-220200000513-820.2501324370079816851147106846952414150227214214.29%10460.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
8Comets43001000171072200000074321001000106481.000173350007981685109710684695241102936431417.14%13469.23%01222241550.60%1228239251.34%608120450.50%171911791677541953477
9Condors1010000023-11010000023-10000000000000.00024600798168529710684695243279125120.00%000%01222241550.60%1228239251.34%608120450.50%171911791677541953477
10Crunch31200000713-62110000047-31010000036-320.333713200079816859271068469524802627608112.50%11554.55%01222241550.60%1228239251.34%608120450.50%171911791677541953477
11Eagles1010000034-1000000000001010000034-100.00036900798168533710684695242981017000%5260.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
12Firebirds2020000068-2000000000002020000068-200.000611170079816855471068469524471818296233.33%9366.67%01222241550.60%1228239251.34%608120450.50%171911791677541953477
13Griffins1010000017-6000000000001010000017-600.00012300798168526710684695243514818300.00%4325.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
14Gulls11000000422000000000001100000042221.00048120079816852771068469524281461811100.00%2150.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
15Icehogs1000010034-11000010034-10000000000010.50035800798168522710684695243988192150.00%4175.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
16Iowa Wild1010000024-21010000024-20000000000000.000246007981685427106846952423513184125.00%40100.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
17Islanders4220000016151211000008712110000088040.5001630460079816851117106846952411425345816318.75%16381.25%01222241550.60%1228239251.34%608120450.50%171911791677541953477
18Marlies43000100171252200000011742100010065170.875173148007981685118710684695241092742651300.00%16568.75%01222241550.60%1228239251.34%608120450.50%171911791677541953477
19Monsters20200000210-81010000016-51010000014-300.000246007981685597106846952461161248200.00%6266.67%01222241550.60%1228239251.34%608120450.50%171911791677541953477
20Moose31200000610-4110000004132020000029-720.33361218007981685837106846952410229244310330.00%100100.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
21PenguinsF42100100101002010010036-32200000074350.6251020300079816851107106846952413537327212433.33%16381.25%01222241550.60%1228239251.34%608120450.50%171911791677541953477
22Phantoms41201000141312100100010462020000049-540.5001426401079816851147106846952411027226314214.29%10370.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
23Reign1010000034-1000000000001010000034-100.000358007981685187106846952431151217300.00%6183.33%01222241550.60%1228239251.34%608120450.50%171911791677541953477
24Roadrunners1010000046-21010000046-20000000000000.00046100079816851771068469524341512272150.00%6183.33%01222241550.60%1228239251.34%608120450.50%171911791677541953477
25Rocket430001001394210001007612200000063370.875132235007981685119710684695241083537821417.14%100100.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
26Silver Knights1010000014-31010000014-30000000000000.00012300798168524710684695243313810400.00%4175.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
27StarsF1010000005-5000000000001010000005-500.00000000798168522710684695242812215300.00%10100.00%01222241550.60%1228239251.34%608120450.50%171911791677541953477
28Wolf Pack412000101012-2201000105502110000057-240.5001017270079816851307106846952410423187617317.65%9455.56%01222241550.60%1228239251.34%608120450.50%171911791677541953477
29Wolves411011001717020001100101002110000077050.6251730470079816851337106846952412429465919526.32%14657.14%01222241550.60%1228239251.34%608120450.50%171911791677541953477
Total72303203511232253-2136171202410129120936132001101103133-30740.514232429661107981685210771068469524209562956912042304419.13%2376373.42%01222241550.60%1228239251.34%608120450.50%171911791677541953477
_Since Last GM Reset72303203511232253-2136171202410129120936132001101103133-30740.514232429661107981685210771068469524209562956912042304419.13%2376373.42%01222241550.60%1228239251.34%608120450.50%171911791677541953477
_Vs Conference54262003410187178927156023101048321271114011008395-12640.59318734753410798168516067106846952415484504318851873820.32%1764574.43%01222241550.60%1228239251.34%608120450.50%171911791677541953477
_Vs Division281220020093930157000100514831352001004245-3260.46493172265107981685829710684695248172042164551042120.19%922671.74%01222241550.60%1228239251.34%608120450.50%171911791677541953477

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7274L323242966121072095629569120410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7230323511232253
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3617122410129120
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3613201101103133
Derniers 10 matchs
WLOTWOTL SOWSOL
090100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2304419.13%2376373.42%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
710684695247981685
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
1222241550.60%1228239251.34%608120450.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171911791677541953477


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 - 2024-09-056Wolves4SenatorsF5WXSommaire du match
3 - 2024-09-0722SenatorsF5Wolves4WSommaire du match
6 - 2024-09-1037Islanders4SenatorsF6WSommaire du match
8 - 2024-09-1256SenatorsF4Checkers5LSommaire du match
11 - 2024-09-1576SenatorsF3Crunch6LSommaire du match
12 - 2024-09-1687Bears1SenatorsF3WSommaire du match
14 - 2024-09-18104SenatorsF5PenguinsF3WSommaire du match
16 - 2024-09-20118Phantoms3SenatorsF4WXSommaire du match
20 - 2024-09-24142Checkers4SenatorsF7WSommaire du match
22 - 2024-09-26157SenatorsF5Islanders3WSommaire du match
24 - 2024-09-28170Rocket2SenatorsF4WSommaire du match
26 - 2024-09-30193BruinsF2SenatorsF4WSommaire du match
27 - 2024-10-01200SenatorsF3Phantoms5LSommaire du match
30 - 2024-10-04224SenatorsF5Comets2WSommaire du match
33 - 2024-10-07239Marlies5SenatorsF6WSommaire du match
36 - 2024-10-10258SenatorsF3Firebirds4LSommaire du match
38 - 2024-10-12268SenatorsF5Comets4WXSommaire du match
39 - 2024-10-13279Crunch6SenatorsF1LSommaire du match
42 - 2024-10-16298Americans3SenatorsF6WSommaire du match
45 - 2024-10-19322Icehogs4SenatorsF3LXSommaire du match
47 - 2024-10-21338SenatorsF1Canucks5LSommaire du match
50 - 2024-10-24357Barracuda1SenatorsF6WSommaire du match
52 - 2024-10-26374SenatorsF4Gulls2WSommaire du match
54 - 2024-10-28386SenatorsF2Wolves3LSommaire du match
56 - 2024-10-30397Iowa Wild4SenatorsF2LSommaire du match
59 - 2024-11-02420Moose1SenatorsF4WSommaire du match
61 - 2024-11-04431SenatorsF3Firebirds4LSommaire du match
64 - 2024-11-07453Wolf Pack3SenatorsF2LSommaire du match
66 - 2024-11-09466SenatorsF2Wolf Pack5LSommaire du match
68 - 2024-11-11480SenatorsF2Americans3LSommaire du match
70 - 2024-11-13491SenatorsF3Eagles4LSommaire du match
71 - 2024-11-14504Americans2SenatorsF3WSommaire du match
74 - 2024-11-17522Marlies2SenatorsF5WSommaire du match
78 - 2024-11-21552Comets1SenatorsF3WSommaire du match
80 - 2024-11-23571SenatorsF3Wolf Pack2WSommaire du match
81 - 2024-11-24581BruinsF3SenatorsF7WSommaire du match
84 - 2024-11-27600SenatorsF2Marlies3LXSommaire du match
86 - 2024-11-29613Canucks2SenatorsF4WSommaire du match
87 - 2024-11-30628SenatorsF4Canucks3WSommaire du match
90 - 2024-12-03646Wolf Pack2SenatorsF3WXXSommaire du match
91 - 2024-12-04660SenatorsF3Reign4LSommaire du match
94 - 2024-12-07678Comets3SenatorsF4WSommaire du match
98 - 2024-12-11703SenatorsF4Americans1WSommaire du match
99 - 2024-12-12712Crunch1SenatorsF3WSommaire du match
101 - 2024-12-14731SenatorsF3Rocket2WSommaire du match
103 - 2024-12-16746Phantoms1SenatorsF6WSommaire du match
106 - 2024-12-19759SenatorsF2Moose4LSommaire du match
108 - 2024-12-21773Checkers6SenatorsF1LSommaire du match
111 - 2024-12-24797SenatorsF1Checkers8LSommaire du match
113 - 2024-12-26810Condors3SenatorsF2LSommaire du match
116 - 2024-12-29834Roadrunners6SenatorsF4LSommaire du match
117 - 2024-12-30844SenatorsF2PenguinsF1WSommaire du match
120 - 2025-01-02862SenatorsF3Rocket1WSommaire du match
121 - 2025-01-03873Islanders3SenatorsF2LSommaire du match
124 - 2025-01-06892SenatorsF4Marlies2WSommaire du match
126 - 2025-01-08906Rocket4SenatorsF3LXSommaire du match
128 - 2025-01-10924SenatorsF3Admirals4LXXSommaire du match
130 - 2025-01-12936Wolves6SenatorsF5LXSommaire du match
131 - 2025-01-13949SenatorsF3Islanders5LSommaire du match
134 - 2025-01-16969Silver Knights4SenatorsF1LSommaire du match
137 - 2025-01-19986SenatorsF7BruinsF4WSommaire du match
138 - 2025-01-201000PenguinsF4SenatorsF2LSommaire du match
141 - 2025-01-231024SenatorsF0Moose5LSommaire du match
142 - 2025-01-241031Admirals7SenatorsF2LSommaire du match
145 - 2025-01-271051SenatorsF1BruinsF2LSommaire du match
146 - 2025-01-281063SenatorsF1Phantoms4LSommaire du match
147 - 2025-01-291071Bears5SenatorsF4LSommaire du match
150 - 2025-02-011089SenatorsF1Monsters4LSommaire du match
151 - 2025-02-021102PenguinsF2SenatorsF1LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2025-02-061124SenatorsF1Griffins7LSommaire du match
156 - 2025-02-071134Monsters6SenatorsF1LSommaire du match
159 - 2025-02-101155SenatorsF0StarsF5LSommaire du match
161 - 2025-02-121166Moose-SenatorsF-
162 - 2025-02-131172SenatorsF-Crunch-
164 - 2025-02-151189SenatorsF-Wranglers-
167 - 2025-02-181205Firebirds-SenatorsF-
172 - 2025-02-231231Firebirds-SenatorsF-
175 - 2025-02-261254Gulls-SenatorsF-
178 - 2025-03-011270SenatorsF-Bears-
180 - 2025-03-031283Gulls-SenatorsF-
181 - 2025-03-041293SenatorsF-Bears-
184 - 2025-03-071312SenatorsF-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3216
Assistance69,04334,261
Assistance PCT95.89%95.17%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 2870 - 95.65% 114,053$4,105,925$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
5,163,035$ 8,925,000$ 8,925,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 5,076,493$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
570,267$ 25 48,784$ 1,219,600$




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 Bemstrom14648731213267429838112.60%33273118.711426408110179352.15%10.89312
2Michael Pezzetta1504450941120437114534112.90%31261317.42712195600066349.30%00.7215
3Stanislav Galiev154276087-14461293038.91%18234415.23311143801133143.65%00.7407
4Mathieu Olivier154384785-19424012733811.24%19233315.15610165400007045.29%10.7311
5Aleksi Saarela1333645811315919630511.80%17233017.52109196400024253.74%00.7048

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) Perry51222130.8813.4427194015613120200.6005
3Micheal Wall43191430.8773.4121852012410090111.0003
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
1672303203511232253-2136171202410129120936132001101103133-3074232429661107981685210771068469524209562956912042304419.13%2376373.42%01222241550.60%1228239251.34%608120450.50%171911791677541953477
Total Saison régulière154606805966472501-2977313003634239250-1177293802332233251-181574728531325251781571261743461470142613959743591311118325054388820.09%49010977.76%12578501951.36%2573505150.94%1268252450.24%370925433593115320391014
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