Senators

GP: 27 | W: 18 | L: 8 | OTL: 1 | P: 37
GF: 91 | GA: 52 | PP%: 26.40% | PK%: 86.62%
DG: Marc-André Bilodeau Lamontagne | Morale : 62 | Moyenne d'Équipe : 59
Prochain matchs #394 vs Phantoms
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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
1Justin BaileyXX100.00735565847669706750616472557070169660
2A.J. GreerX100.00675561727973696550636061555050169610
3Max McCormickX100.00565558696963726762555562555050169590
4Gabriel Fontaine (R)X100.00785582557270785550555555556674169580
5Ethan WerekX100.00605571657267675550555555557375169580
6Jean-Sebastien DeaX100.00605574626561726064606060555050170580
7Adam CracknellX100.00555555555555555550555555556061169540
8Grayson DowningX100.00565555555657565550555555557250169540
9Ryan CarterX100.00555555555555555550555555557172166540
10Andreas Borgman (R)X100.00945575758074797725676574557474169720
11Jordan SchmaltzX100.00675563817469687025616066555353169640
12Carl DahlstromX100.00685575617982676825626068555353166630
13Taylor FedunX100.00625567717276626425616064555353169620
14Cody GoloubefX100.00555555605555785525555555558174169570
15Matt TaorminaX100.00555555605555775525555555555353169550
16Brady AustinX100.00555555605555725525555555555353169550
17Tim ErixonX100.00555555605555665525555555555757169550
18Dakota MermisX100.00575555605555675525555555555353122540
19Andreas EnglundX100.00555555605555675525555555555353169540
Rayé
1Drew MillerX100.00555555555555555550555555557173169540
MOYENNE D'ÉQUIPE100.0062556264646368603958575955616016658
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 Pasquale100.0071717382707076707072556968169700
2Chris Driedger100.0060778179646465636762555961169650
Rayé
MOYENNE D'ÉQUIPE100.006674778167677167696755646516968
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
1Andreas BorgmanSenators (Ott)D271021314440933073304013.70%3157621.3781321471121013105100.00%000001.0700000412
2A.J. GreerSenators (Ott)LW2717133012340584694307218.09%864023.7146102210010121126156.10%4100000.9413000631
3Jordan SchmaltzSenators (Ott)D2752429312019305517439.09%1758921.8521618431110110116200.00%000000.9800000051
4Justin BaileySenators (Ott)LW/RW2713142742806980108239912.04%1062323.114812279901121130153.89%37300010.8703000213
5Taylor FedunSenators (Ott)D27518231026038275910378.47%2553719.89268471040110116020.00%000000.8600000013
6Carl DahlstromSenators (Ott)D279132294810582645143720.00%3252919.638311371040000113020.00%000000.8300001221
7Max McCormickSenators (Ott)LW2768141018024486315439.52%344816.60000000000631057.72%29800000.6213000010
8Jean-Sebastien DeaSenators (Ott)RW274913015512164510338.89%144016.323581598000011062.50%2400000.5901001000
9Grayson DowningSenators (Ott)C27291114803147318256.45%250918.8600041030000160059.56%50200000.4300000201
10Ethan WerekSenators (Ott)LW276511712021313693316.67%340314.93000060003810051.25%8000000.5511000011
11Adam CracknellSenators (Ott)RW27448156027123173212.90%448517.9601111101000002162.50%2400000.3300000111
12Tim ErixonSenators (Ott)D27347814029151321223.08%1031011.5000001000019100.00%000000.4501000010
13Gabriel FontaineSenators (Ott)C2706642606533157230.00%264123.760221950001810057.53%44500000.1902000003
14Drew MillerSenators (Ott)LW27246618016101451014.29%130211.191014300001321052.70%7400000.4001000000
15Dakota MermisSenators (Ott)D18325041522141121227.27%1628916.07213537101263000.00%000000.3500100010
16Cody GoloubefSenators (Ott)D27235910028141131018.18%1432812.1800000000042100.00%000000.3000000010
17Matt TaorminaSenators (Ott)D2704431001986120.00%41816.710000000000000.00%000000.4400000010
18Brady AustinSenators (Ott)D2702231001957050.00%101816.710000000000000.00%000000.2200000000
19Andreas EnglundSenators (Ott)D27011-100001010.00%0260.990110200006000.00%000000.7511000000
20Ryan CarterSenators (Ott)LW261010405570414.29%2933.60101216000040073.33%1500000.2100000000
Stats d'équipe Total ou en Moyenne530921642561203842065349772519357312.69%195813915.36356297265112833614109016757.14%187600010.63416102172017
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)2718810.9111.84163304505620010.81216270110
Stats d'équipe Total ou en Moyenne2718810.9111.84163304505620010.81216270110


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
A.J. GreerSenators (Ott)LW201996-12-14No204 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Adam CracknellSenators (Ott)RW311985-07-14No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Andreas BorgmanSenators (Ott)D211995-06-18Yes205 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Andreas EnglundSenators (Ott)D201996-01-21No189 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
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$0$No500,000$500,000$
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$0$No500,000$
Dakota MermisSenators (Ott)D231994-01-05No196 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Drew MillerSenators (Ott)LW321984-02-17No180 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Eddie PasqualeSenators (Ott)G261990-11-20No215 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
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$0$No300,000$300,000$300,000$
Grayson DowningSenators (Ott)C241992-04-18No200 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
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 TaorminaSenators (Ott)D301986-10-19No182 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
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$0$No500,000$500,000$
Tim ErixonSenators (Ott)D251991-02-23No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2224.55198 Lbs6 ft12.09459,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Justin BaileyGabriel FontaineJean-Sebastien Dea40122
2A.J. GreerGrayson DowningAdam Cracknell30122
3Max McCormickJustin BaileyA.J. Greer20122
4Ethan WerekMax McCormickGabriel Fontaine10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas BorgmanJordan Schmaltz40122
2Carl DahlstromTaylor Fedun30122
3Cody GoloubefTim Erixon20122
4Brady AustinMatt Taormina10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Justin BaileyGabriel FontaineJean-Sebastien Dea60122
2A.J. GreerGrayson DowningAdam Cracknell40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas BorgmanJordan Schmaltz60122
2Carl DahlstromTaylor Fedun40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Justin BaileyA.J. Greer60122
2Max McCormickGabriel Fontaine40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas BorgmanJordan Schmaltz60122
2Carl DahlstromTaylor Fedun40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Justin Bailey60122Andreas BorgmanJordan Schmaltz60122
2A.J. Greer40122Carl DahlstromTaylor Fedun40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Justin BaileyA.J. Greer60122
2Max McCormickGabriel Fontaine40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas BorgmanJordan Schmaltz60122
2Carl DahlstromTaylor Fedun40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Justin BaileyGabriel FontaineJean-Sebastien DeaAndreas BorgmanJordan Schmaltz
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Justin BaileyGabriel FontaineJean-Sebastien DeaAndreas BorgmanJordan Schmaltz
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Ryan Carter, Ethan Werek, Ryan CarterEthan Werek
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andreas Englund, Cody Goloubef, Tim ErixonAndreas EnglundCody Goloubef, Tim Erixon
Tirs de Pénalité
Justin Bailey, A.J. Greer, Max McCormick, Gabriel Fontaine, Jean-Sebastien Dea
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
1Americans11000000321110000003210000000000021.000369003824274142272352511724316177228.57%8187.50%042577055.19%42172458.15%22637061.08%798590518171317176
2Bruins1000000123-11000000123-10000000000010.5002460038242741322723525117198101811100.00%10100.00%042577055.19%42172458.15%22637061.08%798590518171317176
3Checkers220000001441000000000000220000001441041.0001426400038242747522723525117351218504250.00%90100.00%042577055.19%42172458.15%22637061.08%798590518171317176
4Comets4310000016972110000066022000000103760.750162945003824274109227235251179121608322627.27%25772.00%042577055.19%42172458.15%22637061.08%798590518171317176
5Crunch22000000642000000000002200000064241.0006121800382427439227235251174310325313215.38%150100.00%042577055.19%42172458.15%22637061.08%798590518171317176
6Devils2020000027-52020000027-50000000000000.0002350038242743922723525117682334391200.00%17288.24%042577055.19%42172458.15%22637061.08%798590518171317176
7Griffins21000010725210000107250000000000041.00079160138242744222723525117441224589555.56%8275.00%042577055.19%42172458.15%22637061.08%798590518171317176
8Marlies440000002212133000000181171100000040481.000224163033824274165227235251176333267920945.00%110100.00%142577055.19%42172458.15%22637061.08%798590518171317176
9Moose22000000835000000000002200000083541.000814220038242747122723525117421026628112.50%13192.31%042577055.19%42172458.15%22637061.08%798590518171317176
10Phantoms1010000012-11010000012-10000000000000.0001120038242742822723525117219162610110.00%7185.71%042577055.19%42172458.15%22637061.08%798590518171317176
11Rocket40300010611-51010000023-13020001048-420.2506101600382427481227235251177624599514214.29%17476.47%142577055.19%42172458.15%22637061.08%798590518171317176
12Sound Tigers11000000312110000003120000000000021.000358003824274152272352511722814224250.00%7185.71%042577055.19%42172458.15%22637061.08%798590518171317176
Total2716800021915239157600011453015129200010462224370.68591162253143824274714227235251175631793436311253326.40%1421986.62%242577055.19%42172458.15%22637061.08%798590518171317176
14Wolf Pack1010000013-21010000013-20000000000000.0001231038242742322723525117156829100.00%40100.00%042577055.19%42172458.15%22637061.08%798590518171317176
_Since Last GM Reset2716800021915239157600011453015129200010462224370.68591162253143824274714227235251175631793436311253326.40%1421986.62%242577055.19%42172458.15%22637061.08%798590518171317176
_Vs Conference1054000012323061400001916-7440000001477110.550234164103824274228227235251172307414024949714.29%64592.19%042577055.19%42172458.15%22637061.08%798590518171317176
_Vs Division720000002117450000000713-6220000001441040.28621375810382427418022723525117161589016631516.13%44490.91%042577055.19%42172458.15%22637061.08%798590518171317176

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2737SOW19116225371456317934363114
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2716800219152
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
157600114530
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
129200104622
Derniers 10 Matchs
WLOTWOTL SOWSOL
440011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1253326.40%1421986.62%2
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
227235251173824274
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
42577055.19%42172458.15%22637061.08%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
798590518171317176


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
4 - 2018-09-0812Senators5Comets1WSommaire du Match
10 - 2018-09-1438Senators4Moose2WSommaire du Match
11 - 2018-09-1549Senators4Moose1WSommaire du Match
15 - 2018-09-1964Devils4Senators1LSommaire du Match
17 - 2018-09-2171Wolf Pack3Senators1LSommaire du Match
18 - 2018-09-2286Americans2Senators3WSommaire du Match
22 - 2018-09-26105Devils3Senators1LSommaire du Match
24 - 2018-09-28108Griffins2Senators3WXXSommaire du Match
25 - 2018-09-29121Griffins0Senators4WSommaire du Match
29 - 2018-10-03137Senators2Rocket4LSommaire du Match
31 - 2018-10-05140Senators4Crunch3WSommaire du Match
32 - 2018-10-06157Senators2Crunch1WSommaire du Match
38 - 2018-10-12183Marlies0Senators7WSommaire du Match
39 - 2018-10-13196Marlies0Senators5WSommaire du Match
43 - 2018-10-17218Comets3Senators5WSommaire du Match
45 - 2018-10-19225Marlies1Senators6WSommaire du Match
46 - 2018-10-20236Sound Tigers1Senators3WSommaire du Match
49 - 2018-10-23253Senators6Checkers2WSommaire du Match
50 - 2018-10-24258Senators8Checkers2WSommaire du Match
53 - 2018-10-27279Senators5Comets2WSommaire du Match
57 - 2018-10-31305Senators0Rocket3LSommaire du Match
59 - 2018-11-02309Comets3Senators1LSommaire du Match
60 - 2018-11-03324Phantoms2Senators1LSommaire du Match
66 - 2018-11-09351Rocket3Senators2LSommaire du Match
67 - 2018-11-10365Bruins3Senators2LXXSommaire du Match
68 - 2018-11-11378Senators4Marlies0WSommaire du Match
71 - 2018-11-14387Senators2Rocket1WXXSommaire du Match
73 - 2018-11-16394Senators-Phantoms-
74 - 2018-11-17410Senators-Devils-
78 - 2018-11-21430Senators-Americans-
80 - 2018-11-23436Senators-Monsters-
81 - 2018-11-24449Senators-Monsters-
85 - 2018-11-28464Senators-Marlies-
86 - 2018-11-29473Rocket-Senators-
88 - 2018-12-01491Devils-Senators-
92 - 2018-12-05513Senators-Rocket-
94 - 2018-12-07519Checkers-Senators-
95 - 2018-12-08534Checkers-Senators-
99 - 2018-12-12553Monsters-Senators-
101 - 2018-12-14564Senators-Griffins-
102 - 2018-12-15579Senators-Griffins-
106 - 2018-12-19599Senators-Rocket-
108 - 2018-12-21605Senators-Crunch-
109 - 2018-12-22621Senators-Comets-
115 - 2018-12-28656Marlies-Senators-
116 - 2018-12-29674Marlies-Senators-
123 - 2019-01-05705Senators-Devils-
124 - 2019-01-06711Senators-Bears-
126 - 2019-01-08714Senators-Marlies-
129 - 2019-01-11727Senators-Rocket-
130 - 2019-01-12741Rocket-Senators-
131 - 2019-01-13753Senators-Marlies-
134 - 2019-01-16765Crunch-Senators-
136 - 2019-01-18769Monsters-Senators-
137 - 2019-01-19783Monsters-Senators-
139 - 2019-01-21804Rocket-Senators-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25823Senators-Devils-
144 - 2019-01-26834Senators-Americans-
150 - 2019-02-01860Moose-Senators-
151 - 2019-02-02872Moose-Senators-
156 - 2019-02-07896Senators-Monsters-
157 - 2019-02-08898Senators-Monsters-
160 - 2019-02-11931Senators-Marlies-
164 - 2019-02-15947Rocket-Senators-
165 - 2019-02-16959Rocket-Senators-
169 - 2019-02-20979Comets-Senators-
171 - 2019-02-22986Senators-Bruins-
172 - 2019-02-231002Senators-Sound Tigers-
176 - 2019-02-271019Crunch-Senators-
179 - 2019-03-021042Senators-Wolf Pack-
183 - 2019-03-061064Crunch-Senators-
185 - 2019-03-081073Bears-Senators-
186 - 2019-03-091090Monsters-Senators-
190 - 2019-03-131108Marlies-Senators-
193 - 2019-03-161128Senators-Marlies-
194 - 2019-03-171142Americans-Senators-



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
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
407,700$ 100,980$ 76,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 36,552$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 122 5,675$ 692,350$




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
1327168000219152391576000114530151292000104622243791162253143824274714227235251175631793436311253326.40%1421986.62%242577055.19%42172458.15%22637061.08%798590518171317176
Total Saison Régulière27168000219152391576000114530151292000104622243791162253143824274714227235251175631793436311253326.40%1421986.62%242577055.19%42172458.15%22637061.08%798590518171317176