Senators

GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 12 | GA: 10 | PP%: 19.57% | PK%: 92.86%
DG: Marc-André Bilodeau Lamontagne | Morale : 99 | Moyenne d'Équipe : 59
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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 SP
1Matt MoulsonXX100.00635580738282727150606080558685136670
2Justin BaileyXX100.00735565847669706750616472557070191660
3A.J. GreerX100.00675561727973696550636061555050191620
4Vladislav KamenevX100.00795560767869736360616260555050182620
5Max McCormickX100.00565558696963726762555562555050191590
6Gabriel Fontaine (R)X100.00785582557270785550555555556674189580
7Ethan WerekX100.00605571657267675550555555557375191580
8Jean-Sebastien DeaX100.00605574626561726064606060555050187580
9Drew MillerX100.00555555555555555550555555557173186550
10Adam CracknellX100.00555555555555555550555555556061169540
11Grayson DowningX100.00565555555657565550555555557250191540
12Jordan SchmaltzX100.00675563817469687025616066555353190650
13Carl DahlstromX100.00685575617982676825626068555353191640
14Taylor FedunX100.00625567717276626425616064555353191620
15Cody GoloubefX100.00555555605555785525555555558174191570
16Andreas EnglundX100.00555555605555675525555555555353191550
17Matt TaorminaX100.00555555605555775525555555555353191550
18Brady AustinX100.00555555605555725525555555555353191550
19Tim ErixonX100.00555555605555665525555555555757191550
Rayé
1Ryan CarterX100.00555555555555555550555555557172154540
2Dakota MermisX100.00575555605555675525555555555353119540
MOYENNE D'ÉQUIPE100.0061556264656368604157576055616018159
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 SP
1Eddie Pasquale100.0071717382707076707072556968184700
2Chris Driedger100.0060778179646465636762555961191650
Rayé
MOYENNE D'ÉQUIPE100.006674778167677167696755646518868
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx61968380735870CAN5061,000,000$


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'ÉquipePOS GP 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
1Jordan SchmaltzSenators (Ott)D5426-210057133730.77%611222.49415934000027110.00%000001.0700000101
2A.J. GreerSenators (Ott)LW5145-2120911163116.25%211523.191344280001130045.10%5100000.8600000000
3Jean-Sebastien DeaSenators (Ott)RW5224-12042123516.67%08416.87123731000001075.00%400000.9500000010
4Grayson DowningSenators (Ott)C5123-12051321450.00%08416.90123230000011051.69%8900000.7100000010
5Carl DahlstromSenators (Ott)D5123-2603682612.50%511923.80112835011031010.00%000000.5000000001
6Taylor FedunSenators (Ott)D51230606693911.11%710120.21123830000028100.00%000000.5900000100
7Matt MoulsonSenators (Ott)LW/RW5123-175218172125.88%313326.690117321011320051.46%10300000.4500001000
8Justin BaileySenators (Ott)LW/RW5022-280111314340.00%012124.290227300000240026.67%1500000.3300000000
9Cody GoloubefSenators (Ott)D5022060406020.00%59719.42022628000026000.00%000000.4100000001
10Vladislav KamenevSenators (Ott)LW5101-16010671914.29%07214.44000000000140050.00%600000.2800000000
11Max McCormickSenators (Ott)LW5011-100195350.00%16012.13000030110190058.33%1200000.3300000000
12Gabriel FontaineSenators (Ott)C5000-340991010.00%09018.12000032000080047.75%11100000.0000000000
13Ethan WerekSenators (Ott)LW5000-100021110.00%0397.9200008000050081.82%1100000.0000000000
14Andreas EnglundSenators (Ott)D5000-100010100.00%15010.090000000008000.00%000000.0000000000
15Matt TaorminaSenators (Ott)D5000-180312020.00%25110.260000500002000.00%000000.0000000000
16Drew MillerSenators (Ott)LW5000020000000.00%0163.260000500000000.00%200000.0000000000
17Brady AustinSenators (Ott)D5000-140300010.00%2306.200000000000000.00%000000.0000000000
18Tim ErixonSenators (Ott)D5000-180531000.00%2377.440000100004000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne90122133-2191580107114267910.53%36141815.76916255833712322504249.75%40400000.4700001223
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
1Eddie PasqualeSenators (Ott)54100.9152.062620191060100.000050110
2Chris DriedgerSenators (Ott)10000.9331.6237001150000.000005000
Stats d'équipe Total ou en Moyenne64100.9172.0030001101210100.000055110


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
A.J. GreerSenators (Ott)LW201996-12-14No204 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Adam CracknellSenators (Ott)RW311985-07-14No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Andreas EnglundSenators (Ott)D201996-01-21No189 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Brady AustinSenators (Ott)D231993-06-15No234 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Carl DahlstromSenators (Ott)D211995-01-28No228 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Chris DriedgerSenators (Ott)G221994-05-18No200 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
Cody GoloubefSenators (Ott)D271989-11-30No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Dakota MermisSenators (Ott)D231994-01-05No196 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Drew MillerSenators (Ott)LW321984-02-17No180 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No
Eddie PasqualeSenators (Ott)G261990-11-20No215 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Ethan WerekSenators (Ott)LW251991-06-07No189 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Gabriel FontaineSenators (Ott)C191997-04-30Yes192 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Grayson DowningSenators (Ott)C241992-04-18No200 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Jean-Sebastien DeaSenators (Ott)RW221994-02-08No175 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Jordan SchmaltzSenators (Ott)D231993-10-08No190 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,208,000$0$0$No
Justin BaileySenators (Ott)LW/RW211995-07-01No190 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm890,000$0$0$No
Matt MoulsonSenators (Ott)LW/RW331983-10-31No200 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm2,500,000$0$0$No
Matt TaorminaSenators (Ott)D301986-10-19No182 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Max McCormickSenators (Ott)LW241992-04-30No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ryan CarterSenators (Ott)LW331983-08-02No205 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Taylor FedunSenators (Ott)D281988-06-03No200 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No
Tim ErixonSenators (Ott)D251991-02-23No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Vladislav KamenevSenators (Ott)LW201996-08-12No203 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2324.87198 Lbs6 ft12.00574,913$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt MoulsonGabriel FontaineJustin Bailey40122
2A.J. GreerGrayson DowningJean-Sebastien Dea30122
3Vladislav KamenevMatt MoulsonJustin Bailey20122
4Max McCormickA.J. GreerVladislav Kamenev10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzCarl Dahlstrom40122
2Taylor FedunCody Goloubef30122
3Matt TaorminaAndreas Englund20122
4Tim ErixonBrady Austin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt MoulsonGabriel FontaineJustin Bailey60122
2A.J. GreerGrayson DowningJean-Sebastien Dea40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzCarl Dahlstrom60122
2Taylor FedunCody Goloubef40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt MoulsonJustin Bailey60122
2A.J. GreerVladislav Kamenev40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzCarl Dahlstrom60122
2Taylor FedunCody Goloubef40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matt Moulson60122Jordan SchmaltzCarl Dahlstrom60122
2Justin Bailey40122Taylor FedunCody Goloubef40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt MoulsonJustin Bailey60122
2A.J. GreerVladislav Kamenev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzCarl Dahlstrom60122
2Taylor FedunCody Goloubef40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt MoulsonGabriel FontaineJustin BaileyJordan SchmaltzCarl Dahlstrom
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt MoulsonGabriel FontaineJustin BaileyJordan SchmaltzCarl Dahlstrom
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ethan Werek, Drew Miller, Max McCormickEthan Werek, Drew MillerMax McCormick
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Taormina, Andreas Englund, Tim ErixonMatt TaorminaAndreas Englund, Tim Erixon
Tirs de Pénalité
Matt Moulson, Justin Bailey, A.J. Greer, Vladislav Kamenev, Max McCormick
Gardien
#1 : Eddie Pasquale, #2 : Chris Driedger


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
LigueDomicileVisiteur
# 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
1Phantoms5410000012102321000007702200000053280.800122133011560114294738012136918046919.57%42392.86%19417553.71%7317242.44%345759.65%12382117385930
Total5410000012102321000007702200000053280.800122133011560114294738012136918046919.57%42392.86%19417553.71%7317242.44%345759.65%12382117385930
_Since Last GM Reset5410000012102321000007702200000053280.800122133011560114294738012136918046919.57%42392.86%19417553.71%7317242.44%345759.65%12382117385930
_Vs Conference5410000012102321000007702200000053280.800122133011560114294738012136918046919.57%42392.86%19417553.71%7317242.44%345759.65%12382117385930
_Vs Division5000000012102300000007702000000053200.000122133011560114294738012136918046919.57%42392.86%19417553.71%7317242.44%345759.65%12382117385930

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
58W312213311412136918001
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
54100001210
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000077
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000053
Derniers 10 Matchs
WLOTWOTL SOWSOL
410000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
46919.57%42392.86%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
29473801560
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
9417553.71%7317242.44%345759.65%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12382117385930


Derniers Match 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 - 2019-04-063Phantoms2Senators3WSommaire du Match
3 - 2019-04-0811Phantoms5Senators1LSommaire du Match
5 - 2019-04-1019Senators3Phantoms2WSommaire du Match
7 - 2019-04-1227Senators2Phantoms1WSommaire du Match
9 - 2019-04-1435Phantoms0Senators3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 132,230$ 110,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 4 0$ 0$




LigueDomicileVisiteur
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
13541000001210232100000770220000005328122133011560114294738012136918046919.57%42392.86%19417553.71%7317242.44%345759.65%12382117385930
Total Séries541000001210232100000770220000005328122133011560114294738012136918046919.57%42392.86%19417553.71%7317242.44%345759.65%12382117385930