Connexion

Senators
GP: 12 | W: 4 | L: 8 | OTL: 0 | P: 8
GF: 25 | GA: 36 | PP%: 21.05% | PK%: 78.85%
DG: Martin St-Jean | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #148 vs Wolves
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Centre de jeu
Manitoba Moose
9-1-2, 20pts
4
FINAL
1 Senators
4-8-0, 8pts
Team Stats
W6SéquenceW1
5-1-0Fiche domicile1-5-0
4-0-2Fiche domicile3-3-0
8-1-1Derniers 10 matchs4-6-0
3.42Buts par match 2.08
1.92Buts contre par match 3.00
23.21%Pourcentage en avantage numérique21.05%
76.92%Pourcentage en désavantage numérique78.85%
Senators
4-8-0, 8pts
4
FINAL
2 Eagles
9-2-1, 19pts
Team Stats
W1SéquenceL1
1-5-0Fiche domicile4-2-1
3-3-0Fiche domicile5-0-0
4-6-0Derniers 10 matchs7-2-1
2.08Buts par match 3.50
3.00Buts contre par match 2.67
21.05%Pourcentage en avantage numérique26.19%
78.85%Pourcentage en désavantage numérique83.05%
Senators
4-8-0, 8pts
2025-01-14
Wolves
6-5-1, 13pts
Statistiques d’équipe
W1SéquenceW4
1-5-0Fiche domicile4-2-0
3-3-0Fiche visiteur2-3-1
4-6-010 derniers matchs5-4-1
2.08Buts par match 3.08
3.00Buts contre par match 3.08
21.05%Pourcentage en avantage numérique29.79%
78.85%Pourcentage en désavantage numérique77.59%
Senators
4-8-0, 8pts
2025-01-16
Monsters
1-7-4, 6pts
Statistiques d’équipe
W1SéquenceOTL1
1-5-0Fiche domicile1-2-2
3-3-0Fiche visiteur0-5-2
4-6-010 derniers matchs1-7-2
2.08Buts par match 1.83
3.00Buts contre par match 1.83
21.05%Pourcentage en avantage numérique10.42%
78.85%Pourcentage en désavantage numérique71.43%
Silver Knights
6-6-0, 12pts
2025-01-18
Senators
4-8-0, 8pts
Statistiques d’équipe
L1SéquenceW1
1-4-0Fiche domicile1-5-0
5-2-0Fiche visiteur3-3-0
5-5-010 derniers matchs4-6-0
2.58Buts par match 2.08
2.92Buts contre par match 2.08
25.53%Pourcentage en avantage numérique21.05%
79.59%Pourcentage en désavantage numérique78.85%
Meneurs d'équipe
Buts
Cole Guttman
7
Passes
Nick Abruzzese
8
Points
Cole Guttman
9
Denis GurianovPlus/Moins
Denis Gurianov
3
Victoires
Akira Schmid
4
Pourcentage d’arrêts
Akira Schmid
0.905

Statistiques d’équipe
Buts pour
25
2.08 GFG
Tirs pour
280
23.33 Avg
Pourcentage en avantage numérique
21.1%
8 GF
Début de zone offensive
39.1%
Buts contre
36
3.00 GAA
Tirs contre
341
28.42 Avg
Pourcentage en désavantage numérique
78.8%%
11 GA
Début de la zone défensive
42.7%
Informations de l'équipe

Directeur généralMartin St-Jean
EntraîneurBarry Trotz
DivisionAtlantic Division
ConférenceConférence EST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 70
Espoirs55


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
1Cole Guttman0X97.00614082757182686970646464695850040660262950,000$
2Graeme Clarke0XX100.00634369726465636745636363675150040630241925,000$
3Alex Steeves0XX100.00604271696466646747646460675250040630261834,167$
4Nick Abruzzese (R)0XX100.00604273716069676545655963655350040630263775,000$
5Denis Gurianov0XX100.006440726565666362436156636155500406102822,900,000$
6Brett Berard (R)0X100.00524763715565636645626350675050040610231925,000$
7Mikhail Abramov0X100.00554369685965636344625755635150040600241809,444$
8Hunter McKown0X96.006442706565626061596054606050500406002321,366,667$
9Roby Jarventie0X100.00664270646960576042565460595050040590231894,167$
10Michael Milne (R)0X100.00604366656360576043585456605050040580231950,000$
11William Dufour0X100.00614367617064626443555851615050040580232925,000$
12Robert Mastrosimone (R)0X100.00544465675664626041565255605150040570241750,000$
13Erik Karlsson0X100.0068407280749295904084767782908004079035111,500,000$
14David Jiricek (R)0X100.006345817388837370406962706858500407002211,918,333$
15Caleb Jones0X100.006840827378817668406560696775650406902821,350,000$
16Jacob Bryson0X100.005740827873837368406762726965550406902811,850,000$
17Daniil Miromanov0X100.00554082738690707040646568696050040690281925,000$
18Wyatt Kaiser (R)0X100.005945757876866868406760726958500406902311,208,333$
Rayé
1Max Sasson0X85.21644367726465636562636067665150040640251950,000$
2Lukas Rousek0X93.08594172656466646144655558605350040600262830,000$
3Serron Noel0X100.0011111111111111104060241894,167$
4Casey Fitzgerald0X100.00624861716069676340615570635550040640281750,000$
5Daemon Hunt (R)0X100.00624269666663616340635467615050040620231902,500$
6Gavin White (R)0X100.00624172686362605940565067595050040610231910,833$
MOYENNE D’ÉQUIPE98.7958416967656863634360576162545004061
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
1Akira Schmid0100.0080767586777672757677736053040750251925,000$
2Erik Portillo (R)0100.0071646975727375727471605150040700251875,000$
Rayé
1Dylan Garand0100.0073636861686972687070565050040670232902,500$
MOYENNE D’ÉQUIPE100.007568717472737372737363545104071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz85928185898357CAN6224,300,000$


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
1Cole GuttmanSenators (OTT)C1272924011283142722.58%726121.783037330000491052.31%26000000.6900000101
2David JiricekSenators (OTT)D12178-51602519235164.35%1628824.061231432000036000%000000.5500000100
3Nick AbruzzeseSenators (OTT)C/LW120883401014154150%119216.08022032000000046.15%1300000.8300000001
4Caleb JonesSenators (OTT)D12167-21603515165116.25%1225521.331341128000033000%000000.5500000100
5Wyatt KaiserSenators (OTT)D12257-1408121451114.29%1025020.892131028000034100%000000.5600000000
6Graeme ClarkeSenators (OTT)C/RW12516-110014143472014.71%121217.73101929000062030.00%3000000.5600000101
7Denis GurianovSenators (OTT)LW/RW123253802014771442.86%020316.99011132000080027.27%1100000.4900000010
8Alex SteevesSenators (OTT)LW/RW12235-2201613268177.69%022618.860004290001220042.86%700000.4400000001
9Hunter McKownSenators (OTT)C12145-140152414577.14%021117.660221190000360048.53%30700000.4700000010
10Jacob BrysonSenators (OTT)D10044-3601422146140%1823023.07022924000035000%000000.3500000000
11Casey FitzgeraldSenators (OTT)D411226011340025.00%56315.880000000001000%000000.6300000000
12Michael KesselringSenatorsD2022-140744260%74824.340114900007000%000000.8200000000
13Erik KarlssonSenators (OTT)D6011-3409103100%18914.930000000001000%000000.2200000000
14Roby JarventieSenators (OTT)LW12011-600624030%11038.6200000000000025.00%400000.1900000000
15Brett BerardSenators (OTT)LW12101-3208513147.69%013711.5000000000000030.00%1000000.1400000000
16William DufourSenators (OTT)RW10101-5406472514.29%0939.3000010000000133.33%300000.2200000000
17Shane PintoSenatorsC2000-2004591100%05125.6300019000190056.92%650000000000000
18Daniil MiromanovSenators (OTT)D12000-20012179120%1518715.5900000000018000%00000000000000
19Lukas RousekSenators (OTT)RW11000-240936300%212411.3300000000000050.00%60000000000000
20Mikhail AbramovSenators (OTT)C12000-600698240%012710.60000000000200040.00%1200000000000000
21Jackson LaCombeSenatorsD2000-120321010%12512.850000000000000%00000000000000
22Max SassonSenators (OTT)C9000-320172518370%112213.57000000000130057.03%1280000000000000
Statistiques d’équipe totales ou en moyenne212254772-391020266264280721948.93%98350916.55814227231100023374148.96%96400000.4100000424
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
1Akira SchmidSenators (OTT)114600.9052.76630202930401100102100
2Arvid SoderblomSenators20200.8005.0072006300000020000
3Erik PortilloSenators (OTT)10001.000015000600000010000
Statistiques d’équipe totales ou en moyenne144800.8972.93718203534001101212100


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
Akira SchmidSenators (OTT)G251999-05-12CHENo205 Lbs6 ft5NoNoTrade2024-07-07NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Alex SteevesSenators (OTT)LW/RW261998-10-12USANo196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm834,167$0$0$No---------------------------
Brett BerardSenators (OTT)LW232001-09-09USAYes165 Lbs5 ft9NoNoProspectNoNo12024-08-24FalseFalsePro & Farm925,000$0$0$No---------------------------
Caleb JonesSenators (OTT)D281996-06-06USANo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien NHL
Casey FitzgeraldSenators (OTT)D281996-02-25USANo181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien NHL
Cole GuttmanSenators (OTT)C261998-04-06USANo167 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------
Daemon HuntSenators (OTT)D232001-05-12CANYes199 Lbs6 ft1NoNoProspectNoNo12024-08-24FalseFalsePro & Farm902,500$0$0$No---------------------------
Daniil MiromanovSenators (OTT)D281996-07-11RUSNo207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
David JiricekSenators (OTT)D222002-11-28CZEYes207 Lbs6 ft4NoNoProspectNoNo12024-08-24FalseFalsePro & Farm1,918,333$0$0$No---------------------------
Denis GurianovSenators (OTT)LW/RW281996-06-07RUSNo200 Lbs6 ft3NoNoN/AYesYes2FalseFalsePro & Farm2,900,000$0$0$No2,900,000$--------2,900,000$--------No--------Lien NHL
Dylan GarandSenators (OTT)G232001-06-07CANNo176 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------
Erik KarlssonSenators (OTT)D351989-05-31SWENo190 Lbs6 ft0NoNoTrade2024-07-07YesYes12024-08-24FalseFalsePro & Farm11,500,000$0$0$No---------------------------Lien NHL
Erik PortilloSenators (OTT)G251999-09-03SWEYes224 Lbs6 ft6NoNoProspectNoNo12024-08-24FalseFalsePro & Farm875,000$0$0$No---------------------------
Gavin WhiteSenators (OTT)D232001-11-12CANYes185 Lbs6 ft0NoNoProspectNoNo12024-08-24FalseFalsePro & Farm910,833$0$0$No---------------------------
Graeme ClarkeSenators (OTT)C/RW242000-04-24CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Hunter McKownSenators (OTT)C232001-08-18USANo198 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,366,667$0$0$No1,366,667$--------1,366,667$--------No--------
Jacob BrysonSenators (OTT)D281996-11-18CANNo174 Lbs5 ft9NoNoTrade2024-07-04NoNo12024-08-24FalseFalsePro & Farm1,850,000$0$0$No---------------------------Lien NHL
Lukas Rousek (sur la masse salariale)Senators (OTT)RW261998-04-20CZENo200 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm830,000$0$0$No830,000$--------830,000$--------No--------
Max Sasson (sur la masse salariale)Senators (OTT)C251999-09-05USANo185 Lbs6 ft1NoNoAssign ManuallyNoNo12024-11-11FalseFalsePro & Farm950,000$0$0$No---------------------------
Michael MilneSenators (OTT)LW232001-09-21CANYes187 Lbs5 ft10NoNoProspectNoNo12024-08-24FalseFalsePro & Farm950,000$0$0$No---------------------------
Mikhail AbramovSenators (OTT)C242000-03-26RUSNo172 Lbs6 ft0NoNoTrade2024-03-15NoNo1FalseFalsePro & Farm809,444$0$0$No---------------------------
Nick AbruzzeseSenators (OTT)C/LW261998-06-04USAYes180 Lbs5 ft11NoNoProspectNoNo32024-08-24FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Robert MastrosimoneSenators (OTT)LW242000-01-24USAYes165 Lbs5 ft10NoNoProspectNoNo12024-08-24FalseFalsePro & Farm750,000$0$0$No---------------------------
Roby JarventieSenators (OTT)LW232001-08-08FINNo209 Lbs6 ft3NoNoN/ANoNo12024-08-24FalseFalsePro & Farm894,167$0$0$No---------------------------
Serron NoelSenators (OTT)C242000-08-08CANNo216 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------Lien
William DufourSenators (OTT)RW232001-01-28CANNo212 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Wyatt KaiserSenators (OTT)D232001-07-31USAYes173 Lbs6 ft0NoNoProspectNoNo12024-08-24FalseFalsePro & Farm1,208,333$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.15191 Lbs6 ft11.331,470,226$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex SteevesHunter McKownGraeme Clarke40122
2Nick AbruzzeseCole GuttmanDenis Gurianov30122
3Brett BerardCole GuttmanAlex Steeves20122
4Roby JarventieMikhail AbramovWilliam Dufour10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1David JiricekJacob Bryson40122
2Caleb JonesWyatt Kaiser30122
3Erik KarlssonDaniil Miromanov20122
4Caleb JonesDavid Jiricek10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex SteevesHunter McKownGraeme Clarke60122
2Nick AbruzzeseCole GuttmanDenis Gurianov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonDavid Jiricek60122
2Caleb JonesWyatt Kaiser40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Hunter McKownCole Guttman60122
2Graeme ClarkeAlex Steeves40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonDavid Jiricek60122
2Caleb JonesWyatt Kaiser40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Hunter McKown60122Jacob BrysonDavid Jiricek60122
2Cole Guttman40122Caleb JonesWyatt Kaiser40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hunter McKownCole Guttman60122
2Graeme ClarkeAlex Steeves40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob BrysonDavid Jiricek60122
2Caleb JonesWyatt Kaiser40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex SteevesHunter McKownGraeme ClarkeJacob BrysonDavid Jiricek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex SteevesHunter McKownGraeme ClarkeJacob BrysonDavid Jiricek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter McKown, Brett Berard, Mikhail AbramovHunter McKown, Brett BerardMikhail Abramov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Bryson, Daniil Miromanov, Caleb JonesDavid JiricekDaniil Miromanov, Caleb Jones
Tirs de pénalité
Brett Berard, Cole Guttman, Hunter McKown, Alex Steeves, Graeme Clarke
Gardien
#1 : Akira Schmid, #2 : Erik Portillo
Lignes d’attaque personnalisées en prolongation
Roby Jarventie, Cole Guttman, William Dufour, Alex Steeves, Graeme Clarke, Nick Abruzzese, Nick Abruzzese, Brett Berard, Denis Gurianov, Mikhail Abramov, Hunter McKown
Lignes de défense personnalisées en prolongation
Jacob Bryson, David Jiricek, Caleb Jones, Wyatt Kaiser, Daniil Miromanov


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
1Admirals3120000068-21010000014-32110000054120.3336121810961006910692820702120597114.29%10460.00%019837752.52%19441247.09%8017545.71%2821902828915578
2Bruins1010000034-1000000000001010000034-100.0003690096100231069282027814215120.00%7271.43%019837752.52%19441247.09%8017545.71%2821902828915578
3Comets11000000312000000000001100000031221.00036900961002610692820249624100.00%30100.00%019837752.52%19441247.09%8017545.71%2821902828915578
4Eagles11000000422000000000001100000042221.0004711009610025106928203274257342.86%20100.00%019837752.52%19441247.09%8017545.71%2821902828915578
5Griffins20200000310-720200000310-70000000000000.00036900961004810692820571122479222.22%11281.82%019837752.52%19441247.09%8017545.71%2821902828915578
6Manitoba Moose2020000026-42020000026-40000000000000.0002460096100421069282066262246500.00%11281.82%019837752.52%19441247.09%8017545.71%2821902828915578
7Rocket1010000013-2000000000001010000013-200.000123009610017106928203881623100.00%8187.50%019837752.52%19441247.09%8017545.71%2821902828915578
8Wolves11000000321110000003210000000000021.000347009610030106928202780213133.33%000%019837752.52%19441247.09%8017545.71%2821902828915578
Total1248000002536-1161500000922-13633000001614280.3332547721096100280106928203419810426638821.05%521178.85%019837752.52%19441247.09%8017545.71%2821902828915578
_Since Last GM Reset1248000002536-1161500000922-13633000001614280.3332547721096100280106928203419810426638821.05%521178.85%019837752.52%19441247.09%8017545.71%2821902828915578
_Vs Conference725000001219-741300000612-63120000067-140.286122234109610015810692820201635814916212.50%29775.86%019837752.52%19441247.09%8017545.71%2821902828915578
_Vs Division624000001116-541300000612-62110000054140.333112031109610014110692820163554212615213.33%21671.43%019837752.52%19441247.09%8017545.71%2821902828915578

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
128W12547722803419810426610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
124800002536
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
6150000922
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300001614
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
38821.05%521178.85%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
1069282096100
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
19837752.52%19441247.09%8017545.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2821902828915578


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
3 - 2024-12-223Griffins6Senators2LSommaire du match
5 - 2024-12-2422Senators1Admirals2LSommaire du match
7 - 2024-12-2631Senators3Bruins4LSommaire du match
8 - 2024-12-2740Griffins4Senators1LSommaire du match
10 - 2024-12-2956Senators3Comets1WSommaire du match
12 - 2024-12-3161Wolves2Senators3WSommaire du match
14 - 2025-01-0276Senators4Admirals2WSommaire du match
17 - 2025-01-0592Admirals4Senators1LSommaire du match
18 - 2025-01-06101Senators1Rocket3LSommaire du match
20 - 2025-01-08111Manitoba Moose2Senators1LSommaire du match
22 - 2025-01-10126Manitoba Moose4Senators1LSommaire du match
24 - 2025-01-12141Senators4Eagles2WSommaire du match
26 - 2025-01-14148Senators-Wolves-
28 - 2025-01-16160Senators-Monsters-
30 - 2025-01-18170Silver Knights-Senators-
32 - 2025-01-20182Wolf Pack-Senators-
34 - 2025-01-22197Monsters-Senators-
35 - 2025-01-23207Senators-Griffins-
37 - 2025-01-25219Bruins-Senators-
39 - 2025-01-27233Senators-Rocket-
41 - 2025-01-29244Manitoba Moose-Senators-
43 - 2025-01-31256Senators-Reign-
45 - 2025-02-02264Senators-Bruins-
47 - 2025-02-04275Senators-Americans-
49 - 2025-02-06286Griffins-Senators-
51 - 2025-02-08300Crunch-Senators-
53 - 2025-02-10316Wranglers-Senators-
54 - 2025-02-11324Senators-Monsters-
56 - 2025-02-13339Senators-Checkers-
57 - 2025-02-14347Senators-Condors-
59 - 2025-02-16360Griffins-Senators-
61 - 2025-02-18372Reign-Senators-
63 - 2025-02-20386Senators-Penguins-
65 - 2025-02-22397Senators-Silver Knights-
66 - 2025-02-23405Gulls-Senators-
68 - 2025-02-25421Silver Knights-Senators-
70 - 2025-02-27434Rocket-Senators-
74 - 2025-03-03455Senators-Manitoba Moose-
75 - 2025-03-04466Americans-Senators-
77 - 2025-03-06480Crunch-Senators-
79 - 2025-03-08488Senators-Reign-
80 - 2025-03-09501Senators-Crunch-
82 - 2025-03-11513IceHogs-Senators-
84 - 2025-03-13528Senators-Wranglers-
85 - 2025-03-14536Senators-Comets-
87 - 2025-03-16547Condors-Senators-
88 - 2025-03-17560Senators-IceHogs-
90 - 2025-03-19571Wolf Pack-Senators-
92 - 2025-03-21584Eagles-Senators-
93 - 2025-03-22599Senators-IceHogs-
95 - 2025-03-24609Senators-Marlies-
97 - 2025-03-26618Comets-Senators-
99 - 2025-03-28634Checkers-Senators-
101 - 2025-03-30652Senators-Penguins-
102 - 2025-03-31657Admirals-Senators-
104 - 2025-04-02671Senators-Admirals-
105 - 2025-04-03685Gulls-Senators-
107 - 2025-04-05694Senators-Stars-
109 - 2025-04-07706Checkers-Senators-
111 - 2025-04-09721Senators-Condors-
112 - 2025-04-10730Penguins-Senators-
113 - 2025-04-11742Senators-Firebirds-
115 - 2025-04-13753Firebirds-Senators-
116 - 2025-04-14765Senators-Wolf Pack-
118 - 2025-04-16776Wranglers-Senators-
120 - 2025-04-18790Senators-Gulls-
121 - 2025-04-19798Penguins-Senators-
123 - 2025-04-21818Eagles-Senators-
124 - 2025-04-22828Senators-Wolves-
126 - 2025-04-24838Senators-Penguins-
128 - 2025-04-26848Senators-Americans-
129 - 2025-04-27858Senators-Admirals-
130 - 2025-04-28863Marlies-Senators-
132 - 2025-04-30877Senators-Stars-
133 - 2025-05-01883Marlies-Senators-
135 - 2025-05-03901Wolves-Senators-
136 - 2025-05-04910Senators-Manitoba Moose-
138 - 2025-05-06921Senators-Marlies-
139 - 2025-05-07931Wolves-Senators-
141 - 2025-05-09946Senators-Marlies-
143 - 2025-05-11959Stars-Senators-
147 - 2025-05-15979Firebirds-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 37,916,112$ 37,916,112$ 4,300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 123 285,244$ 35,085,012$




Senators Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Senators Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Senators Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Senators Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Senators Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA