Connexion

Senators
GP: 80 | W: 39 | L: 31 | OTL: 10 | P: 88
GF: 325 | GA: 330 | PP%: 22.68% | PK%: 79.65%
DG: Didier Theodore | Morale : 36 | Moyenne d’équipe : 64
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Centre de jeu
Heat
40-32-8, 88pts
4
FINAL
3 Senators
39-31-10, 88pts
Team Stats
W1StreakW1
16-18-6Home Record17-16-7
24-14-2Away Record22-15-3
7-3-0Last 10 Games5-5-0
4.21Buts par match 4.06
4.39Buts contre par match 4.13
23.62%Pourcentage en avantage numérique22.68%
77.43%Pourcentage en désavantage numérique79.65%
Senators
39-31-10, 88pts
6
FINAL
4 Condors
43-34-3, 89pts
Team Stats
W1StreakSOL1
17-16-7Home Record21-17-2
22-15-3Away Record22-17-1
5-5-0Last 10 Games6-3-1
4.06Buts par match 4.16
4.13Buts contre par match 4.11
22.68%Pourcentage en avantage numérique19.80%
79.65%Pourcentage en désavantage numérique76.45%
Meneurs d'équipe
Buts
Zachary Sanford
55
Passes
Christoph Bertschy
67
Points
Zachary Sanford
109
Plus/Moins
Jordan Schroeder
10
Victoires
Garret Sparks
21
Pourcentage d’arrêts
Garret Sparks
0.876

Statistiques d’équipe
Buts pour
325
4.06 GFG
Tirs pour
2563
32.04 Avg
Pourcentage en avantage numérique
22.7%
71 GF
Début de zone offensive
37.3%
Buts contre
330
4.13 GAA
Tirs contre
2578
32.23 Avg
Pourcentage en désavantage numérique
79.7%
47 GA
Début de la zone défensive
34.5%
Informations de l'équipe

Directeur généralDidier Theodore
EntraîneurMario Lemieux
DivisionJohn-Ahearne
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,791
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 250
Espoirs0


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
1Tomas Jurco (R)X100.007733787080726873697473657160574059700242700,000$
2Oliver Bjorkstrand (R)X100.007130877371727969646688526650446355690211900,000$
3Zachary Sanford (R)X100.006922737965786880667171667349485263690221650,000$
4Christoph Bertschy (R)X100.006327807970766473666968677746445154680221700,000$
5Jacob De La Rose (R)X100.006623847074816758656968806852445940680211800,000$
6Jordan Schroeder (R)X100.005933796669716676686871646859593443670262925,000$
7Kevin Rooney (R)X100.006645747169717465777169587251514229670231500,000$
8C.J Suess (R)X100.007331736873636068666875606847475421660222600,000$
9Chandler Stephenson (R)X100.006738797267697265676967567146464649650222500,000$
10Grant Besse (R)X100.005732766860696069686063626946463635620221500,000$
11Vitaly Abramov (R)X100.004535696563585665465570336340407360560182500,000$
12William Bitten (R)X100.006840555964466658425457435240406634540182500,000$
13Michael Matheson (R)X100.0078357979727278745674667963544647247302221,200,000$
14Dmitry Sinitsyn (R)X100.006825837971707976457557785752465455710222975,000$
15Keegan Lowe (R)X100.007027767476846568507467755657474645710232500,000$
16Scott Harrington (R)X100.006933736873757268557359776356474544690231999,999$
17Nikita Nesterov (R)X100.006425787564696668446866636345454624650231500,000$
18Joonas Lyytinen (R)X100.006729776460525958366346784646465235630212500,000$
Rayé
1Zemgus Girgensons (R)X80.557734807075756870737176577251464848690221500,000$
2Arttu Ruotsalainen (R)X100.004832665856666463495178476143436419580192500,000$
3Cliff Pu (R)X100.005221664960574961525565316040406020530182500,000$
4Mason Geertsen (R)X100.006845765763527561465453645345434731610211500,000$
5Gustav Forsling (R)X100.006730725350646157345863514942426220570202500,000$
6Jonas Siegenthaler (R)X100.005326825357536446235737733741415720570191500,000$
MOYENNE D’ÉQUIPE99.19653176676767676655656662624846523965
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
1Garret Sparks100.00727186626570795764806949474452680231999,999$
2Scott Wedgewood100.00676472646570706165725946463253650244500,000$
Rayé
1Keven Bouchard100.00396446475258555459535642424318530201500,000$
MOYENNE D’ÉQUIPE100.0059666858616668576368614645404162
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mario Lemieux58697272515555CAN5221,000,000$


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
1Zachary SanfordSenators (Ott)LW805554109-25600127993709921314.86%42173721.721524394924410161625144.19%1297321331.2548000994
2Christoph BertschySenators (Ott)C793667103-182401031502407715915.00%49176322.32924333826311261903245.98%25774837001.1722000266
3Tomas JurcoSenators (Ott)RW80325183-8395162882486414012.90%37158219.7811152639252000001350.39%1294432301.05410010572
4Zemgus GirgensonsSenators (Ott)LW783637733300160992205613316.36%34145418.6487152421600091194246.03%634823001.0023000656
5Oliver BjorkstrandSenators (Ott)RW80303969-940107821997513715.08%24136417.065141924225000023142.11%575022001.01111000505
6Dmitry SinitsynSenators (Ott)D80104353-1624010114212962687.75%136203725.477182528289000120120100.00%13563000.5200000201
7Jordan SchroederSenators (Ott)C7617355210180679318647969.14%23110314.5215671140003422149.29%7001715000.9400000211
8Kevin RooneySenators (Ott)C55141630-10120446191265915.38%1567812.3400029000022050.59%340179010.8801000311
9Scott HarringtonSenators (Ott)D71624305335871026136279.84%73133818.855167149000196000.00%02132010.4500001100
10Grant BesseSenators (Ott)RW67121628860394683254714.46%1873110.9210116000001143.75%1668000.7700000020
11Keegan LoweSenators (Ott)D5972128-1326080988429288.33%76127521.61437131780111123020.00%02340000.4400000112
12Michael MathesonSenators (Ott)D4042327-524092647514335.33%49105826.461126132000280000.00%03049000.5100000011
13Jacob De La RoseSenators (Ott)C51141125-41006010386144216.28%1981415.960226930002893048.79%535612000.6100000012
14Chandler StephensonSenators (Ott)C73111324-120452784255613.10%145918.10011010000312050.21%233139000.8100000020
15C.J SuessSenators (Ott)LW516915012049347822487.69%115009.821011120000311040.00%101611100.6000000012
16Vitaly AbramovSenators (Ott)LW7911415-9120213066233516.67%87849.93000040001141152.38%21209000.3800000101
17Joonas LyytinenSenators (Ott)D7011213-412037564011152.50%6089712.82011150000052100.00%0423000.2900000000
18Nikita NesterovSenators (Ott)D494711-218035434913228.16%3779616.25303564000158110.00%01125000.2800000001
19William BittenSenators (Ott)RW61538-143806838268419.23%861110.0200003000001036.36%1108000.2601000011
20Jonas SiegenthalerSenators (Ott)D42022-5206229300.00%353327.9100001200008000.00%026000.1200000000
21Mason GeertsenSenators (Ott)D60022-1100202811120.00%144948.2500000000014000.00%0214000.0800000000
22Arttu RuotsalainenSenators (Ott)C16022-4100794120.00%11277.94011218000000058.33%1203000.3111000000
23Gustav ForslingSenators (Ott)D20000-160522000.00%0924.640000000000000.00%001000.0000000000
Statistiques d’équipe totales ou en moyenne1417311491802-12343210152215162441731136612.74%7832216715.64711171882532345224331322331547.35%4834486472750.721437011373836
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
1Garret SparksSenators (Ott)42211530.8763.872324201501214624300.533153939210
2Scott WedgewoodSenators (Ott)2121130.8574.669520074517248000.500101463000
3Keven BouchardSenators (Ott)30100.7509.237800124825000.000015000
Statistiques d’équipe totales ou en moyenne66232760.8674.223355202361779897300.5202554107210


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Arttu RuotsalainenSenators (Ott)C191997-01-01Yes181 Lbs5 ft8NoNoNo2Pro & Farm500,000$0$0$No500,000$
C.J SuessSenators (Ott)LW221994-01-01Yes190 Lbs5 ft11NoNoNo2Pro & Farm600,000$0$0$No800,000$
Chandler StephensonSenators (Ott)C221994-01-01Yes190 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Christoph BertschySenators (Ott)C221994-01-01Yes182 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$No
Cliff PuSenators (Ott)RW181998-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dmitry SinitsynSenators (Ott)D221994-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm975,000$0$0$No975,000$
Garret SparksSenators (Ott)G231993-01-01No207 Lbs6 ft2NoNoNo1Pro & Farm999,999$0$0$No
Grant BesseSenators (Ott)RW221994-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Gustav ForslingSenators (Ott)D201996-01-01Yes186 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No250,000$
Jacob De La RoseSenators (Ott)C211995-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Jonas SiegenthalerSenators (Ott)D191997-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Joonas LyytinenSenators (Ott)D211995-01-01Yes189 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jordan SchroederSenators (Ott)C261990-01-01Yes175 Lbs5 ft8NoNoNo2Pro & Farm925,000$0$0$No925,000$
Keegan LoweSenators (Ott)D231993-01-01Yes200 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Keven BouchardSenators (Ott)G201996-01-01No212 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Kevin RooneySenators (Ott)C231993-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Mason GeertsenSenators (Ott)D211995-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Michael MathesonSenators (Ott)D221994-01-01Yes178 Lbs6 ft1NoNoNo2Pro & Farm1,200,000$0$0$No1,400,000$
Nikita NesterovSenators (Ott)D231993-01-01Yes191 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Oliver BjorkstrandSenators (Ott)RW211995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$No
Scott HarringtonSenators (Ott)D231993-01-01Yes201 Lbs6 ft2NoNoNo1Pro & Farm999,999$0$0$No
Scott WedgewoodSenators (Ott)G241992-01-01No190 Lbs6 ft2NoNoNo4Pro & Farm500,000$0$0$No750,000$750,000$950,000$
Tomas JurcoSenators (Ott)RW241992-01-01Yes203 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$
Vitaly AbramovSenators (Ott)LW181998-01-01Yes181 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
William BittenSenators (Ott)RW181998-01-01Yes179 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
Zachary SanfordSenators (Ott)LW221994-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Zemgus Girgensons (sur la masse salariale)Senators (Ott)LW221994-01-01Yes186 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$Yes
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2721.52190 Lbs6 ft01.59646,296$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary SanfordChristoph BertschyTomas Jurco40122
2C.J SuessJacob De La RoseOliver Bjorkstrand30122
3Vitaly AbramovJordan SchroederGrant Besse15122
4Chandler StephensonKevin RooneyWilliam Bitten15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael MathesonDmitry Sinitsyn40122
2Keegan LoweScott Harrington30122
3Nikita NesterovJoonas Lyytinen20122
4Michael MathesonDmitry Sinitsyn10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary SanfordChristoph BertschyTomas Jurco60014
2C.J SuessJacob De La RoseOliver Bjorkstrand40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael MathesonDmitry Sinitsyn60122
2Keegan LoweScott Harrington40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christoph BertschyZachary Sanford60122
2Jacob De La RoseC.J Suess40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael MathesonDmitry Sinitsyn60122
2Keegan LoweScott Harrington40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christoph Bertschy60122Michael MathesonDmitry Sinitsyn60122
2Jacob De La Rose40122Keegan LoweScott Harrington40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Christoph BertschyZachary Sanford60122
2Jacob De La RoseC.J Suess40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael MathesonDmitry Sinitsyn60122
2Keegan LoweScott Harrington40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary SanfordChristoph BertschyTomas JurcoMichael MathesonDmitry Sinitsyn
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary SanfordChristoph BertschyTomas JurcoMichael MathesonDmitry Sinitsyn
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob De La Rose, Jordan Schroeder, Kevin RooneyJacob De La Rose, Jordan SchroederJacob De La Rose
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Harrington, Nikita Nesterov, Joonas LyytinenScott HarringtonScott Harrington, Nikita Nesterov
Tirs de pénalité
Tomas Jurco, Oliver Bjorkstrand, Zachary Sanford, Christoph Bertschy, Jacob De La Rose
Gardien
#1 : Garret Sparks, #2 : Scott Wedgewood


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
1Admirals622001103132-1311001001315-2311000101817170.583314475001041101051718284790380053208665314528725.00%24387.50%1845178747.29%793165347.97%617134945.74%167691317007541487755
2Barracuda541000002618833000000191182110000077080.800264066001041101051716884790380053163493610014321.43%18477.78%1845178747.29%793165347.97%617134945.74%167691317007541487755
3Bears21100000550110000002111010000034-120.50059140010411010517588479038005375212377228.57%10100.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
4Comets320001001174110000004132100010076150.8331121320010411010517948479038005310135165711218.18%8187.50%0845178747.29%793165347.97%617134945.74%167691317007541487755
5Condors311001001315-220100100711-41100000064230.5001323360010411010517948479038005310533165011218.18%8275.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
6Crunch2100000110911000000145-11100000064230.75010192900104110105176984790380053561263612433.33%30100.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
7Devils211000006601010000035-21100000031220.5006111710104110105176284790380053681710355240.00%50100.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
8Eagles3300000016115110000007522200000096361.0001627430010411010517119847903800539340226214535.71%11372.73%0845178747.29%793165347.97%617134945.74%167691317007541487755
9Griffins311000101082110000005232010001056-140.6671016260010411010517898479038005387362262400.00%11190.91%0845178747.29%793165347.97%617134945.74%167691317007541487755
10Heat31200000141132020000068-21100000083520.3331424380010411010517118847903800538939128110440.00%6266.67%1845178747.29%793165347.97%617134945.74%167691317007541487755
11Icehogs6310000227225301000021115-433000000167980.667274269001041101051720484790380053185474412523730.43%22481.82%0845178747.29%793165347.97%617134945.74%167691317007541487755
12Little Stars21100000911-21010000048-41100000053220.50091524001041101051750847903800536017103511218.18%5260.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
13Marlies422000001516-132100000121111010000035-240.5001525400010411010517123847903800531233419812000.00%70100.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
14Monsters614000102429-5312000001314-1302000101115-440.333244064001041101051718584790380053197743713427829.63%16381.25%0845178747.29%793165347.97%617134945.74%167691317007541487755
15Moose302000011219-71000000167-120200000612-610.167121931001041101051792847903800539329205011218.18%10550.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
16Penguins220000001064110000006421100000042241.00010142400104110105177184790380053532284411327.27%30100.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
17Phantoms3110100011110100010004312110000078-140.667111829001041101051792847903800539328185816318.75%9366.67%0845178747.29%793165347.97%617134945.74%167691317007541487755
18Punishers220000001578110000006421100000093641.0001524390010411010517578479038005356131242600.00%6266.67%0845178747.29%793165347.97%617134945.74%167691317007541487755
19Rampage513000011423-9312000001014-42010000149-530.30014223600104110105171828479038005316265309518316.67%15286.67%0845178747.29%793165347.97%617134945.74%167691317007541487755
20Reign312000001013-31010000035-22110000078-120.33310182800104110105179384790380053103574641119.09%20100.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
21Rocket30200001714-720100001510-51010000024-210.1677101700104110105179484790380053106431465700.00%7357.14%0845178747.29%793165347.97%617134945.74%167691317007541487755
22Sound Tigers2110000049-51010000018-71100000031220.500461000104110105175684790380053622414399222.22%7185.71%0845178747.29%793165347.97%617134945.74%167691317007541487755
23Thunderbirds20100010550100000102111010000034-120.500571200104110105175684790380053651420367114.29%10370.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
24Wolfpack31100010141401000001054121100000910-140.6671419330010411010517918479038005310829326312541.67%16381.25%0845178747.29%793165347.97%617134945.74%167691317007541487755
25Wolves2010000169-31010000035-21000000134-110.250611170010411010517648479038005367212398337.50%10100.00%0845178747.29%793165347.97%617134945.74%167691317007541487755
Total80333101357325330-540141601225161177-164019150013216415311880.5503255248491010411010517256384790380053257886547916353137122.68%2314779.65%3845178747.29%793165347.97%617134945.74%167691317007541487755
_Since Last GM Reset80333101357325330-540141601225161177-164019150013216415311880.5503255248491010411010517256384790380053257886547916353137122.68%2314779.65%3845178747.29%793165347.97%617134945.74%167691317007541487755
_Vs Conference48172101234200208-82581001204104112-8239110003096960480.5002003195190010411010517153484790380053155253529510151823720.33%1403078.57%3845178747.29%793165347.97%617134945.74%167691317007541487755
_Vs Division1867001228283-1924001023744-79430002045396190.52882126208001041101051757184790380053590187134404782228.21%621083.87%1845178747.29%793165347.97%617134945.74%167691317007541487755

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8088W132552484925632578865479163510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8033311357325330
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4014161225161177
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4019150132164153
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3137122.68%2314779.65%3
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
8479038005310411010517
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
845178747.29%793165347.97%617134945.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
167691317007541487755


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2021-12-018Barracuda5Senators7BWSommaire du match
7 - 2021-12-0628Marlies6Senators2BLSommaire du match
10 - 2021-12-0946Senators5Monsters4AWXXR1Sommaire du match
12 - 2021-12-1155Icehogs6Senators4BLSommaire du match
13 - 2021-12-1262Senators2Admirals4ALR1Sommaire du match
16 - 2021-12-1580Monsters5Senators1BLR1Sommaire du match
20 - 2021-12-1997Senators6Icehogs3AWSommaire du match
22 - 2021-12-21105Admirals8Senators3BLR1Sommaire du match
24 - 2021-12-23118Senators3Monsters6ALR1Sommaire du match
27 - 2021-12-26132Rampage5Senators3BLSommaire du match
30 - 2021-12-29150Senators3Phantoms2AWSommaire du match
32 - 2021-12-31158Icehogs4Senators3BLXXR1Sommaire du match
34 - 2022-01-02171Senators4Comets2AWSommaire du match
37 - 2022-01-05185Senators8Admirals7AWXXR1Sommaire du match
38 - 2022-01-06195Marlies3Senators5BWSommaire du match
41 - 2022-01-09213Phantoms3Senators4BWXSommaire du match
43 - 2022-01-11225Senators4Icehogs2AWR1Sommaire du match
45 - 2022-01-13237Icehogs5Senators4BLXXSommaire du match
47 - 2022-01-15250Senators6Icehogs2AWR1Sommaire du match
49 - 2022-01-17262Senators3Sound Tigers1AWSommaire du match
51 - 2022-01-19272Griffins2Senators5BWSommaire du match
56 - 2022-01-24292Crunch5Senators4BLXXSommaire du match
58 - 2022-01-26303Senators3Bears4ALSommaire du match
60 - 2022-01-28312Senators3Moose8ALSommaire du match
61 - 2022-01-29325Sound Tigers8Senators1BLSommaire du match
64 - 2022-02-01341Senators3Devils1AWSommaire du match
66 - 2022-02-03349Reign5Senators3BLSommaire du match
69 - 2022-02-06368Senators3Comets4ALXSommaire du match
71 - 2022-02-08375Wolfpack4Senators5BWXXSommaire du match
74 - 2022-02-11395Devils5Senators3BLSommaire du match
77 - 2022-02-14407Senators6Crunch4AWSommaire du match
79 - 2022-02-16422Little Stars8Senators4BLSommaire du match
81 - 2022-02-18429Senators3Wolves4ALXXSommaire du match
83 - 2022-02-20435Senators5Little Stars3AWSommaire du match
85 - 2022-02-22447Senators3Eagles2AWSommaire du match
87 - 2022-02-24456Barracuda2Senators6BWSommaire du match
89 - 2022-02-26468Senators2Barracuda4ALSommaire du match
91 - 2022-02-28478Senators9Punishers3AWSommaire du match
93 - 2022-03-02486Admirals4Senators8BWR1Sommaire du match
95 - 2022-03-04500Senators2Rocket4ALSommaire du match
97 - 2022-03-06511Rocket3Senators2BLXXSommaire du match
99 - 2022-03-08520Senators5Barracuda3AWSommaire du match
101 - 2022-03-10530Senators8Heat3AWSommaire du match
104 - 2022-03-13542Senators4Penguins2AWSommaire du match
105 - 2022-03-14546Punishers4Senators6BWSommaire du match
109 - 2022-03-18567Wolves5Senators3BLSommaire du match
111 - 2022-03-20575Senators3Monsters5ALR1Sommaire du match
115 - 2022-03-24595Rocket7Senators3BLSommaire du match
117 - 2022-03-26604Senators8Admirals6AWR1Sommaire du match
120 - 2022-03-29617Senators3Griffins2AWXXSommaire du match
121 - 2022-03-30623Monsters4Senators8BWR1Sommaire du match
125 - 2022-04-03645Thunderbirds1Senators2BWXXSommaire du match
127 - 2022-04-05660Senators2Griffins4ALSommaire du match
129 - 2022-04-07671Senators4Phantoms6ALSommaire du match
130 - 2022-04-08674Marlies2Senators5BWSommaire du match
132 - 2022-04-10693Senators3Marlies5ALSommaire du match
133 - 2022-04-11699Moose7Senators6BLXXSommaire du match
136 - 2022-04-14711Senators3Thunderbirds4ALSommaire du match
138 - 2022-04-16725Comets1Senators4BWSommaire du match
142 - 2022-04-20743Senators5Reign3AWSommaire du match
143 - 2022-04-21752Condors7Senators6BLXSommaire du match
147 - 2022-04-25774Eagles5Senators7BWSommaire du match
150 - 2022-04-28793Senators1Rampage5ALSommaire du match
152 - 2022-04-30801Barracuda4Senators6BWSommaire du match
154 - 2022-05-02809Senators6Eagles4AWSommaire du match
156 - 2022-05-04824Senators3Rampage4ALXXSommaire du match
157 - 2022-05-05831Condors4Senators1BLSommaire du match
159 - 2022-05-07846Senators2Reign5ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2022-05-10857Senators3Moose4ALSommaire du match
163 - 2022-05-11861Admirals3Senators2BLXR1Sommaire du match
167 - 2022-05-15884Heat4Senators3BLSommaire du match
172 - 2022-05-20906Senators7Wolfpack5AWSommaire du match
173 - 2022-05-21912Monsters5Senators4BLR1Sommaire du match
177 - 2022-05-25935Bears1Senators2BWSommaire du match
182 - 2022-05-30957Penguins4Senators6BWSommaire du match
185 - 2022-06-02976Rampage4Senators6BWSommaire du match
189 - 2022-06-06992Senators2Wolfpack5ALSommaire du match
191 - 2022-06-081004Rampage5Senators1BLSommaire du match
197 - 2022-06-141023Heat4Senators3BLSommaire du match
198 - 2022-06-151030Senators6Condors4AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,54737,081
Assistance PCT93.18%92.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2791 - 93.02% 83,091$3,323,627$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,468,995$ 2,825,000$ 2,380,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,875$ 2,456,745$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 19,125$ 0$




Senators Leaders statistiques (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 (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