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Connexion

Senators
GP: 5 | W: 1 | L: 4
GF: 12 | GA: 30 | PP%: 25.00% | PK%: 55.56%
DG: Brendan Cwik | Morale : 1 | Moyenne d’équipe : 57

Centre de jeu
Wild
16-3-0, 32pts
7
1 Senators
1-4-0, 2pts
Team Stats
W5SéquenceL4
9-2-0Fiche domicile0-2-0
7-1-0Fiche domicile1-2-0
9-1-0Derniers 10 matchs1-4-0
4.89Buts par match 2.40
2.53Buts contre par match 6.00
26.56%Pourcentage en avantage numérique25.00%
68.42%Pourcentage en désavantage numérique55.56%
Senators
1-4-0, 2pts
1
7 Wild
16-3-0, 32pts
Team Stats
L4SéquenceW5
0-2-0Fiche domicile9-2-0
1-2-0Fiche domicile7-1-0
1-4-0Derniers 10 matchs9-1-0
2.40Buts par match 4.89
6.00Buts contre par match 2.53
25.00%Pourcentage en avantage numérique26.56%
55.56%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Buts
Brad Lambert
3
Passes
Logan Brown
3
Points
Logan Brown
5
Plus/Moins
Hunter Haight
2
Victoires
Ales Stezka
1
Pourcentage d’arrêts
Ales Stezka
0.861

Statistiques d’équipe
Buts pour
12
2.40 GFG
Tirs pour
117
23.40 Avg
Pourcentage en avantage numérique
25.0%
2 GF
Début de zone offensive
25.0%
Buts contre
30
6.00 GAA
Tirs contre
218
43.60 Avg
Pourcentage en désavantage numérique
55.6%%
8 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralBrendan Cwik
EntraîneurBob Woods
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,395
Billets de saison1,500


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 100
Espoirs117


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
1Alexandre TexierXX100.0067429076746254662465726180676765226402611,000,000$
2Logan Brown (R)X100.0086868666865654668064656861464664376302831,530,000$
3Tyson Kozak (R)X100.007743978169566963706367682548486544630231850,000$
4Brad Lambert (R)X100.0072658775677783607165535946474757776202211,200,000$
5Hunter Haight (R)X100.0073668868687883597352626058474759766102231,314,000$
6Nate SmithX100.0071658365657377587156565851474757615902731,409,000$
7Brendan Brisson (R)XXX100.007371787373677156695751604649485459590241925,000$
8Jakub BrabenecX100.0075699467717277516548516048474655485702231,107,000$
9Massimo Rizzo (R)X100.0075679366696163536851515848474755615602531,341,000$
10Cross HanasX100.007671876673525253504655605347475551550241925,000$
11Henri NikkanenX100.008277996278383549645044634446465334530251925,000$
12Lukas SvejkovskyX100.006860868262363250503760555847475465530241925,000$
13Daemon Hunt (R)X100.007874887077707553254845613848485166610241902,500$
14Hunter McDonald (R)X100.0074786066807886502541445939474750616002431,192,000$
15Simon LundmarkX100.0076728664727481472537415939474751605902531,161,000$
16Aleksi Heimosalmi (R)X100.0068638766656773462535415640474750535602331,277,000$
17Luke Reid (R)X100.0077709982724547402526385837474747605502431,338,000$
18Hardy Haman AktellX100.0074748263744241492545385937474748605402831,154,000$
Rayé
1Gavin HainX100.0073698262694140506344506048444454205102631,096,000$
2Adam MechuraXXX100.0080739981743230435538436242454551205102311,000,000$
3Mac HollowellX100.006561756661697354255441553747475158570271971,000$
MOYENNE D’ÉQUIPE100.00746787707159625350495160464848555258
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 Schmid100.004852658346475054474895484950615302631,272,000$
2Ales Stezka100.005148608052484752515130464649555302911,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0050506382494849534950634748505853
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods40404040404040CAN5211,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Logan BrownSenators (OTT)C5235-6806161981210.53%211523.1702225000000050.39%12724000.8600000000
2Brad LambertSenators (OTT)C5325-275811146621.43%812024.20000050110141050.77%6514000.8300001000
3Hunter HaightSenators (OTT)C5224200312124416.67%311022.01000051011140077.78%913000.7300000100
4Massimo RizzoSenators (OTT)C5224-72061181925.00%211623.3220235000060036.36%1150000.6900000000
5Nate SmithSenators (OTT)C521312081472828.57%49919.8400005000070050.00%222000.6000000001
6Tyson KozakSenators (OTT)C5123-90079151156.67%311022.1801115000000045.45%1180000.5400000000
7Hunter McDonaldSenators (OTT)D5022-31759108300%912424.830112500009000%025000.3200010000
8Simon LundmarkSenators (OTT)D5022-5206107240%1512525.040000400009000%022000.3200000000
9Alexandre TexierSenators (OTT)LW/RW5011-7004118590%17815.7000001000140030.00%3012000.2500000000
10Daemon HuntSenators (OTT)D5011-5001298260%614128.2900004000011000%026000.1400000000
11Mac HollowellSenators (OTT)D4011020032110%86917.300000400006000%003000.2900000000
12Hardy Haman AktellSenators (OTT)D5000-300301100%1357.120000100002000%00000000000000
13Jakub BrabenecSenators (OTT)C5000000021010%0163.3300000000000050.00%60000000000000
14Henri NikkanenSenators (OTT)C5000000000000%020.4800000000000050.00%20000000000000
15Brendan BrissonSenators (OTT)C/LW/RW5000-300122110%1316.370000000000000%00000000000000
16Lukas SvejkovskySenators (OTT)RW5000-620874040%37615.2500000000140060.00%51300000000000
17Aleksi HeimosalmiSenators (OTT)D5000-695251110%68016.1400002000013000%00200000010000
18Cross HanasSenators (OTT)LW5000000000000%000.100000000000000%00000000000000
19Luke ReidSenators (OTT)D5000-200120000%1295.870000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne94121931-61511584134117487110.26%73148515.8024686011231051048.51%2682736000.4200021101
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
1Ales StezkaSenators (OTT)51400.8616.022590026187122100050001
2Akira SchmidSenators (OTT)10000.8715.71420043120000005000
Statistiques d’équipe totales ou en moyenne61400.8625.98301003021814210055001


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam MechuraSenators (OTT)C/LW/RW232003-01-31CZENo194 Lbs6 ft3NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Akira SchmidSenators (OTT)G262000-05-12SUINo190 Lbs6 ft5NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,272,000$0$0$No1,272,000$1,272,000$-------1,272,000$1,272,000$-------NoNo-------Lien
Aleksi HeimosalmiSenators (OTT)D232003-05-08FINYes170 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Ales StezkaSenators (OTT)G291997-01-06CZENo190 Lbs6 ft4NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Alexandre TexierSenators (OTT)LW/RW261999-09-13FRANo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Brad LambertSenators (OTT)C222003-12-19FINYes173 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Brendan BrissonSenators (OTT)C/LW/RW242001-10-22USAYes198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Cross HanasSenators (OTT)LW242002-01-05USANo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Daemon HuntSenators (OTT)D242002-05-15CANYes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm902,500$0$0$No---------------------------Lien
Gavin HainSenators (OTT)C262000-04-03USANo194 Lbs5 ft11NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,096,000$0$0$No1,096,000$1,096,000$-------1,096,000$1,096,000$-------NoNo-------Lien
Hardy Haman AktellSenators (OTT)D281998-07-04SWENo198 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,154,000$0$0$No1,154,000$1,154,000$-------1,154,000$1,154,000$-------NoNo-------Lien
Henri NikkanenSenators (OTT)C252001-04-28FINNo200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Hunter HaightSenators (OTT)C222004-04-04CANYes181 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,314,000$0$0$No1,314,000$1,314,000$-------1,314,000$1,314,000$-------NoNo-------Lien
Hunter McDonaldSenators (OTT)D242002-05-11USAYes205 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,192,000$0$0$No1,192,000$1,192,000$-------1,192,000$1,192,000$-------NoNo-------Lien
Jakub BrabenecSenators (OTT)C222003-09-11CZENo185 Lbs6 ft1NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,107,000$0$0$No1,107,000$1,107,000$-------1,107,000$1,107,000$-------NoNo-------Lien
Logan BrownSenators (OTT)C281998-03-05USAYes222 Lbs6 ft7NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,530,000$0$0$No1,530,000$1,530,000$-------1,530,000$1,530,000$-------NoNo-------Lien
Lukas SvejkovskySenators (OTT)RW242001-11-28USANo165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Luke ReidSenators (OTT)D242001-09-26CANYes192 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,338,000$0$0$No1,338,000$1,338,000$-------1,338,000$1,338,000$-------NoNo-------Lien
Mac HollowellSenators (OTT)D271998-09-26CANNo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm971,000$0$0$No---------------------------Lien
Massimo RizzoSenators (OTT)C252001-06-13CANYes185 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,341,000$0$0$No1,341,000$1,341,000$-------1,341,000$1,341,000$-------NoNo-------Lien
Nate SmithSenators (OTT)C271998-10-19USANo177 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,409,000$0$0$No1,409,000$1,409,000$-------1,409,000$1,409,000$-------NoNo-------Lien
Simon LundmarkSenators (OTT)D252000-10-08SWENo193 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,161,000$0$0$No1,161,000$1,161,000$-------1,161,000$1,161,000$-------NoNo-------Lien
Tyson KozakSenators (OTT)C232002-12-29CANYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.83190 Lbs6 ft12.041,122,370$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson KozakLogan BrownMassimo Rizzo40122
2Hunter HaightBrad LambertNate Smith30122
3Tyson KozakLogan BrownMassimo Rizzo20122
4Lukas SvejkovskyAlexandre TexierBrad Lambert10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldSimon Lundmark40122
2Daemon HuntAleksi Heimosalmi30122
3Daemon HuntAleksi Heimosalmi20122
4Luke ReidDaemon Hunt10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Logan BrownTyson KozakMassimo Rizzo60122
2Hunter HaightBrad LambertNate Smith40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldAleksi Heimosalmi60122
2Daemon HuntSimon Lundmark40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brad LambertHunter Haight60122
2Massimo RizzoNate Smith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldAleksi Heimosalmi60122
2Daemon HuntSimon Lundmark40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brad Lambert60122Simon LundmarkDaemon Hunt60122
2Hunter Haight40122Hunter McDonaldLuke Reid40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hunter HaightTyson Kozak60122
2Brad LambertMassimo Rizzo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter McDonaldDaemon Hunt60122
2Luke ReidAleksi Heimosalmi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter HaightTyson KozakBrad LambertDaemon HuntHunter McDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter HaightTyson KozakBrad LambertDaemon HuntHunter McDonald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brad Lambert, Hunter Haight, Massimo RizzoBrad Lambert, Hunter HaightLukas Svejkovsky
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hardy Haman Aktell, Hunter McDonald, Daemon HuntDaemon HuntSimon Lundmark, Daemon Hunt
Tirs de pénalité
Massimo Rizzo, Tyson Kozak, Nate Smith, Brad Lambert, Hunter Haight
Gardien
#1 : Ales Stezka, #2 : Akira Schmid


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
1Wild514000001230-1820200000310-731200000920-1120.20012193100344111728533332187351848225.00%18855.56%1326747.76%5210947.71%469250.00%7531128519846
Total514000001230-1820200000310-731200000920-1120.20012193100344111728533332187351848225.00%18855.56%1326747.76%5210947.71%469250.00%7531128519846
_Since Last GM Reset514000001230-1820200000310-731200000920-1120.20012193100344111728533332187351848225.00%18855.56%1326747.76%5210947.71%469250.00%7531128519846
_Vs Conference514000001230-1820200000310-731200000920-1120.20012193100344111728533332187351848225.00%18855.56%1326747.76%5210947.71%469250.00%7531128519846
_Vs Division500000001230-1820000000310-730000000920-1100.00012193100344111728533332187351848225.00%18855.56%1326747.76%5210947.71%469250.00%7531128519846

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L412193111721873518400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000310
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000920
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
8225.00%18855.56%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
28533333441
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
326747.76%5210947.71%469250.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
7531128519846


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
11Senators6Wild5WXSommaire du match
39Senators2Wild8LSommaire du match
517Wild3Senators2LSommaire du match
725Wild7Senators1LSommaire du match
933Senators1Wild7LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance3,0961,693
Assistance PCT77.40%84.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 2395 - 79.82% 99,648$199,295$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,581,450$ 2,581,450$ 1,000,000$0$
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$ 0 0$ 0$




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