Senateurs

GP: 65 | W: 55 | L: 8 | OTL: 2 | P: 112
GF: 433 | GA: 176 | PP%: 63.96% | PK%: 67.57%
DG: Pascal Poirier | Morale : 89 | Moyenne d'Équipe : 66
Prochain matchs #769 vs Crunch
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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
1Reid BoucherX99.005843746266168566686368617055535981690
2Matt PuempelX100.006442746075729165506563606353527880690
3Frederick GaudreauX97.005940796368699963696363636351514281680
4Daniel CarrXX100.006142807669767574556363686653523781670
5Gemel SmithX100.006241768564736881714860717052516082670
6Jimmy VeseyXX100.006941888279819573685167607256536481670
7Nick JensenX99.006542847469779673305550796255534167700
8Neal Pionk (R)X100.006042787168639271307253805551534482700
9Andreas BorgmanX100.008044767475689971305355696652534481690
10Jordan OesterleX100.006741937466877371305557756953524281690
11Madison BoweyX100.006543787275728974316050706152517081680
12Tucker PoolmanX100.006140817184646275304353776651515581670
Rayé
1Christopher DiDomenicoX100.005947687461689975545470616551514026690
2Travis BoydX100.005641766065689363676460606050504720660
3Austin CzarnikXX100.004942758253709975805850696452514219650
4Dominik SimonXXX100.006143797962748178736060616451515519650
5Justin KloosX100.005344696059649961676160606050504220650
6Mike VecchioneX100.006342736065629460676060606050504220650
7Jonny BrodzinskiXX100.006742807478409274664559696752515320640
8Brandon PirriX100.005442726067728665675562606759555820620
9Dryden HuntX100.006143727970739870514250586450504420610
10Adam HelewkaX100.006442726077659260506356605650504420610
11Henrik HaapalaX100.004940796754565456525656605750504320580
12Nicolas KerdilesX100.005743716175668061504050606150507420570
13Erik GustafssonX100.006242817775737777306461746453526028690
14Tim HeedX100.005641858467736877305355676851514920660
15Chad RuhwedelX100.007441866570776469304553716954523620650
16Zach TrotmanX100.006742745183618157305657605753524120610
17Trevor CarrickX100.005847585071619960306256605650505820600
MOYENNE D'ÉQUIPE99.83614277696967866950565866645251504565
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
1Jack Campbell98.00716686818583848273697050618181740
2Garret Sparks (R)100.00767171857473777575757151644781720
Rayé
1Calvin Pickard100.00706886817180717171706757646920700
MOYENNE D'ÉQUIPE99.3372688182777977767371695363666172
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent67958981735878CAN4641,000,000$


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
1Frederick GaudreauSenateurs (OTT)C3859721312980534333410719117.66%1280221.1232568863137000037168.59%6406522083.26000001666
2Jordan OesterleSenateurs (OTT)D6533841173475526728413113411.62%89147022.623133646713704416139310.00%02288021.59000101164
3Nick JensenSenateurs (OTT)D38387511343175274725210013015.08%68100226.3738357373146011988900.00%02771042.25000017135
4Neal PionkSenateurs (OTT)D622163841622058422018611710.45%62117618.9817314847118011591110.00%02279001.4300000226
5Daniel CarrSenateurs (OTT)LW/RW6537448134451539342749415813.50%2788813.671310231958000001168.42%768222021.82000124510
6Reid BoucherSenateurs (OTT)C652044643335555931966711010.20%1390413.9111415658101691065.23%16944730011.4200000256
7Matt PuempelSenateurs (OTT)RW3818143214140372375244324.00%850213.2297161146000010055.71%70159011.2700000005
8Jimmy VeseySenateurs (OTT)LW/RW341911301820336108286017.59%545013.26235321000015150.00%163115001.3300000324
9Gemel SmithSenateurs (OTT)C4210182815120282013142977.63%1050211.9600000000063067.23%1774620001.1100000211
10Dylan DeMeloSenateursD831922016101393319169.09%1320826.0631114924011418100.00%067002.1100110030
11Erik GustafssonSenateurs (OTT)D621517840663813185.26%717328.9611011617101213000.00%078001.9600000111
12Tucker PoolmanSenateurs (OTT)D652131520141015186629343.03%274767.330110400005100.00%0124000.6300101002
13Andreas BorgmanSenateurs (OTT)D434101491003885915326.78%2949111.4322431900005000.00%0632000.5700000001
14Christopher DiDomenicoSenateurs (OTT)LW4751217514536163119.44%29724.3453856000071169.57%2360002.4600001130
15Madison BoweySenateurs (OTT)D651101116431527156631401.52%3766710.2711210000017000.00%0126000.3300021001
16Austin CzarnikSenateurs (OTT)C/RW1000000000000.00%055.920000000000000.00%000000.0000000000
17Dominik SimonSenateurs (OTT)C/LW/RW1000000101210.00%01111.250000000000000.00%011000.0000000000
18Markus GranlundSenateursC/LW/RW1000-200111000.00%12323.3700001000020031.03%2910000.0000000000
Stats d'équipe Total ou en Moyenne641274497771288256704974372155804121212.71%410985615.381552173723137992794241233665.58%27253864540181.5600256494752
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
1Jack CampbellSenateurs (OTT)6555820.9122.6939056217519789001311.0003650375
Stats d'équipe Total ou en Moyenne6555820.9122.6939056217519789001311.0003650375


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
Adam HelewkaSenateurs (OTT)LW221995-07-21No200 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Andreas BorgmanSenateurs (OTT)D221995-06-18No212 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Austin CzarnikSenateurs (OTT)C/RW241992-12-12No160 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm1,250,000$0$0$NoLien
Brandon PirriSenateurs (OTT)C261991-04-10No186 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Calvin PickardSenateurs (OTT)G251992-04-15No200 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm1,000,000$0$0$NoLien
Chad RuhwedelSenateurs (OTT)D271990-05-07No191 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm2,000,000$0$0$NoLien
Christopher DiDomenicoSenateurs (OTT)LW281989-02-20No174 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Daniel CarrSenateurs (OTT)LW/RW251991-11-01No193 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Dominik SimonSenateurs (OTT)C/LW/RW231994-08-08No176 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Dryden HuntSenateurs (OTT)LW211995-11-24No197 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Erik GustafssonSenateurs (OTT)D251992-03-14No176 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm1,750,000$0$0$NoLien
Frederick GaudreauSenateurs (OTT)C241993-05-01No179 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Garret SparksSenateurs (OTT)G241993-06-28Yes210 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Gemel SmithSenateurs (OTT)C231994-04-16No190 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Henrik HaapalaSenateurs (OTT)LW231994-02-28No165 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jack CampbellSenateurs (OTT)G251992-01-09No197 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jimmy VeseySenateurs (OTT)LW/RW241993-05-26No206 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm2,275,000$0$0$NoLien
Jonny BrodzinskiSenateurs (OTT)C/RW241993-06-19No217 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jordan OesterleSenateurs (OTT)D251992-06-25No182 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Justin KloosSenateurs (OTT)C231993-11-30No180 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Madison BoweySenateurs (OTT)D221995-04-22No198 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm1,000,000$0$0$NoLien
Matt PuempelSenateurs (OTT)RW241993-01-24No205 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Mike VecchioneSenateurs (OTT)C241993-02-25No194 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Neal PionkSenateurs (OTT)D221995-07-29Yes190 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Nick JensenSenateurs (OTT)D271990-09-21No194 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Nicolas KerdilesSenateurs (OTT)LW231994-01-11No200 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Reid BoucherSenateurs (OTT)C241993-09-08No195 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Tim HeedSenateurs (OTT)D261991-01-27No185 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Travis BoydSenateurs (OTT)C241993-09-14No185 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Trevor CarrickSenateurs (OTT)D231994-07-04No186 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm2,325,000$0$0$NoLien
Tucker PoolmanSenateurs (OTT)D241993-06-08No199 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm925,000$0$0$NoLien
Zach TrotmanSenateurs (OTT)D271990-08-26No217 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3224.16192 Lbs6 ft01.34967,188$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Frederick Gaudreau40122
2Daniel CarrReid BoucherMatt Puempel30122
3Gemel Smith20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick Jensen40122
2Jordan Oesterle30122
3Andreas BorgmanMadison Bowey20122
4Tucker Poolman10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Frederick Gaudreau60122
2Daniel CarrReid BoucherMatt Puempel40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick Jensen60122
2Jordan Oesterle40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Frederick GaudreauMatt Puempel40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick Jensen60122
2Jordan Oesterle40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Nick Jensen60122
240122Jordan Oesterle40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Frederick GaudreauMatt Puempel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick Jensen60122
2Jordan Oesterle40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Frederick GaudreauNick Jensen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Frederick GaudreauNick Jensen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Gemel Smith, Gemel Smith
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andreas Borgman, Madison Bowey, Tucker PoolmanAndreas BorgmanMadison Bowey, Tucker Poolman
Tirs de Pénalité
, , Frederick Gaudreau, Matt Puempel, Reid Boucher
Gardien
#1 : Jack Campbell, #2 : Garret Sparks


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
1Admirals220000001138110000007251100000041341.000111930001061441794929419329961067209339222.22%20100.00%0860145259.23%792148853.23%770128459.97%1625105412775081005535
2Barracuda11000000211000000000001100000021121.00024600106144179450941932996102046134250.00%30100.00%0860145259.23%792148853.23%770128459.97%1625105412775081005535
3Bears44000000349252200000018612220000001631381.0003454880010614417941529419329961086254151232086.96%18666.67%1860145259.23%792148853.23%770128459.97%1625105412775081005535
4Blacknight210010001037100010004311100000060641.0001016260110614417948394193299610502112207571.43%6183.33%0860145259.23%792148853.23%770128459.97%1625105412775081005535
5Bruins330000002281411000000624220000001661061.0002240620010614417941239419329961075203047181266.67%15473.33%0860145259.23%792148853.23%770128459.97%1625105412775081005535
6Condors211000007701010000034-11100000043120.500712190010614417948294193299610873412235240.00%6183.33%0860145259.23%792148853.23%770128459.97%1625105412775081005535
7Crunch43001000296233200100018513110000001111081.00029477600106144179416794193299610109392883171270.59%14192.86%1860145259.23%792148853.23%770128459.97%1625105412775081005535
8Devils3210000016115211000008711100000084440.667163046001061441794146941932996101324920339444.44%10550.00%0860145259.23%792148853.23%770128459.97%1625105412775081005535
9Gulls2200000015510110000008351100000072541.00015254000106144179489941932996104320103812866.67%5260.00%0860145259.23%792148853.23%770128459.97%1625105412775081005535
10Heat2200000018216110000009181100000091841.000182947001061441794949419329961037131736151173.33%60100.00%0860145259.23%792148853.23%770128459.97%1625105412775081005535
11Icedogs2200000015213110000009181100000061541.00015254000106144179490941932996105513622131184.62%3166.67%0860145259.23%792148853.23%770128459.97%1625105412775081005535
12Marlies623010001917230201000610-432100000137660.500193049001061441794245941932996102347562106241041.67%26773.08%0860145259.23%792148853.23%770128459.97%1625105412775081005535
13Monsters44000000384342200000020317220000001811781.00038651030110614417941919419329961064262469271762.96%70100.00%1860145259.23%792148853.23%770128459.97%1625105412775081005535
14Moose2200000017891100000052311000000126641.000172946001061441794105941932996106522164010880.00%8450.00%0860145259.23%792148853.23%770128459.97%1625105412775081005535
15Penguins43100000201552110000099022000000116560.7502033530010614417941969419329961013038326620945.00%15753.33%1860145259.23%792148853.23%770128459.97%1625105412775081005535
16Phantoms210000101275110000008441000001043141.0001216280010614417947994193299610944116306350.00%8275.00%0860145259.23%792148853.23%770128459.97%1625105412775081005535
17Rampages201001001012-21010000056-11000010056-110.2501020300010614417947594193299610873429267342.86%14657.14%2860145259.23%792148853.23%770128459.97%1625105412775081005535
18Reigh2200000017512110000008351100000092741.0001728450010614417941059419329961044141729171376.47%110.00%0860145259.23%792148853.23%770128459.97%1625105412775081005535
19Rocket5500000032112122000000155103300000017611101.00032558700106144179422194193299610141383085181477.78%15473.33%0860145259.23%792148853.23%770128459.97%1625105412775081005535
20Sound Tigers2100010010730000000000021000100107330.750102030001061441794108941932996107022163810440.00%8537.50%0860145259.23%792148853.23%770128459.97%1625105412775081005535
21Stars1010000057-21010000057-20000000000000.0005813101061441794479419329961042251096466.67%550.00%0860145259.23%792148853.23%770128459.97%1625105412775081005535
22Thunderbird66000000592138330000003392433000000261214121.00059104163001061441794277941932996101896659104433274.42%18761.11%0860145259.23%792148853.23%770128459.97%1625105412775081005535
Total65518032104331762573222703000210931173329100210223831401120.86243373311661210614417942876941932996101979678520102833321363.96%2227267.57%6860145259.23%792148853.23%770128459.97%1625105412775081005535
24Wolves2200000015510110000006151100000094541.00015243900106144179459941932996105819182713753.85%9366.67%0860145259.23%792148853.23%770128459.97%1625105412775081005535
_Since Last GM Reset65518032104331762573222703000210931173329100210223831401120.86243373311661210614417942876941932996101979678520102833321363.96%2227267.57%6860145259.23%792148853.23%770128459.97%1625105412775081005535
_Vs Conference43345021102911161752115402000141608122191001101505694750.872291494785011061441794190594193299610132443935871221513763.72%1544868.83%4860145259.23%792148853.23%770128459.97%1625105412775081005535
_Vs Division241930200016163981282020007831471211100000833251420.8751612764370010614417941033941932996107482382094251208066.67%882373.86%1860145259.23%792148853.23%770128459.97%1625105412775081005535

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
65112W6433733116628761979678520102812
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
655183210433176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32227300021093
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
33291021022383
Derniers 10 Matchs
WLOTWOTL SOWSOL
901000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
33321363.96%2227267.57%6
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
941932996101061441794
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
860145259.23%792148853.23%770128459.97%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1625105412775081005535


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
3 - 2018-10-1110Senateurs4Marlies2WSommaire du Match
6 - 2018-10-1422Thunderbird4Senateurs17WSommaire du Match
8 - 2018-10-1631Marlies3Senateurs1LSommaire du Match
10 - 2018-10-1834Senateurs11Crunch1WSommaire du Match
17 - 2018-10-2556Rocket2Senateurs6WSommaire du Match
21 - 2018-10-2974Senateurs4Phantoms3WXXSommaire du Match
22 - 2018-10-3084Crunch2Senateurs8WSommaire du Match
26 - 2018-11-0399Senateurs12Thunderbird7WSommaire du Match
28 - 2018-11-05109Phantoms4Senateurs8WSommaire du Match
30 - 2018-11-07124Marlies5Senateurs2LSommaire du Match
32 - 2018-11-09132Senateurs8Bruins1WSommaire du Match
34 - 2018-11-11144Senateurs4Rocket3WSommaire du Match
37 - 2018-11-14158Bruins2Senateurs6WSommaire du Match
40 - 2018-11-17171Senateurs6Thunderbird1WSommaire du Match
42 - 2018-11-19178Monsters2Senateurs7WSommaire du Match
44 - 2018-11-21187Senateurs8Rocket1WSommaire du Match
48 - 2018-11-25201Admirals2Senateurs7WSommaire du Match
53 - 2018-11-30220Marlies2Senateurs3WXSommaire du Match
57 - 2018-12-04233Senateurs3Marlies4LSommaire du Match
60 - 2018-12-07244Thunderbird1Senateurs8WSommaire du Match
62 - 2018-12-09253Senateurs9Wolves4WSommaire du Match
67 - 2018-12-14270Devils4Senateurs2LSommaire du Match
72 - 2018-12-19291Rampages6Senateurs5LSommaire du Match
75 - 2018-12-22310Senateurs5Rampages6LXSommaire du Match
77 - 2018-12-24315Bears3Senateurs7WSommaire du Match
79 - 2018-12-26325Senateurs12Moose6WSommaire du Match
81 - 2018-12-28336Senateurs9Heat1WSommaire du Match
83 - 2018-12-30345Thunderbird4Senateurs8WSommaire du Match
86 - 2019-01-02355Senateurs5Rocket2WSommaire du Match
88 - 2019-01-04366Senateurs7Gulls2WSommaire du Match
89 - 2019-01-05373Penguins2Senateurs3WSommaire du Match
92 - 2019-01-08387Senateurs7Sound Tigers3WSommaire du Match
94 - 2019-01-10395Penguins7Senateurs6LSommaire du Match
98 - 2019-01-14413Senateurs8Thunderbird4WSommaire du Match
99 - 2019-01-15420Condors4Senateurs3LSommaire du Match
102 - 2019-01-18427Senateurs6Penguins4WSommaire du Match
106 - 2019-01-22441Reigh3Senateurs8WSommaire du Match
109 - 2019-01-25461Senateurs11Monsters1WSommaire du Match
111 - 2019-01-27467Monsters1Senateurs13WSommaire du Match
115 - 2019-01-31482Senateurs3Sound Tigers4LXSommaire du Match
117 - 2019-02-02491Crunch2Senateurs3WXSommaire du Match
121 - 2019-02-06509Senateurs4Admirals1WSommaire du Match
124 - 2019-02-09516Moose2Senateurs5WSommaire du Match
128 - 2019-02-13531Senateurs9Reigh2WSommaire du Match
129 - 2019-02-14539Icedogs1Senateurs9WSommaire du Match
132 - 2019-02-17551Senateurs7Bears2WSommaire du Match
134 - 2019-02-19562Heat1Senateurs9WSommaire du Match
137 - 2019-02-22579Stars7Senateurs5LSommaire du Match
140 - 2019-02-25589Senateurs4Condors3WSommaire du Match
142 - 2019-02-27599Senateurs6Icedogs1WSommaire du Match
145 - 2019-03-02609Bears3Senateurs11WSommaire du Match
147 - 2019-03-04617Senateurs9Bears1WSommaire du Match
149 - 2019-03-06630Senateurs7Monsters0WSommaire du Match
150 - 2019-03-07638Devils3Senateurs6WSommaire du Match
154 - 2019-03-11656Senateurs2Barracuda1WSommaire du Match
155 - 2019-03-12663Rocket3Senateurs9WSommaire du Match
160 - 2019-03-17682Gulls3Senateurs8WSommaire du Match
162 - 2019-03-19688Senateurs6Blacknight0WSommaire du Match
164 - 2019-03-21703Blacknight3Senateurs4WXSommaire du Match
166 - 2019-03-23710Senateurs5Penguins2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25719Senateurs8Devils4WSommaire du Match
171 - 2019-03-28730Senateurs8Bruins5WSommaire du Match
173 - 2019-03-30739Crunch1Senateurs7WSommaire du Match
176 - 2019-04-02748Senateurs6Marlies1WSommaire du Match
180 - 2019-04-06760Wolves1Senateurs6WSommaire du Match
182 - 2019-04-08769Senateurs-Crunch-
186 - 2019-04-12783Senateurs-Bruins-
187 - 2019-04-13790Sound Tigers-Senateurs-
192 - 2019-04-18811Barracuda-Senateurs-
194 - 2019-04-20818Senateurs-Crunch-
197 - 2019-04-23832Barracuda-Senateurs-
202 - 2019-04-28853Senateurs-Phantoms-
203 - 2019-04-29858Sound Tigers-Senateurs-
206 - 2019-05-02868Senateurs-Stars-
209 - 2019-05-05877Senateurs-Phantoms-
211 - 2019-05-07887Phantoms-Senateurs-
214 - 2019-05-10898Senateurs-Barracuda-
217 - 2019-05-13910Bruins-Senateurs-
220 - 2019-05-16929Bruins-Senateurs-
226 - 2019-05-22950Phantoms-Senateurs-
228 - 2019-05-24956Senateurs-Devils-
235 - 2019-05-31980Rocket-Senateurs-



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
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,247,915$ 3,095,000$ 3,195,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 2,488,441$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 17,278$ 984,846$




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
2655180321043317625732227030002109311733291002102238314011243373311661210614417942876941932996101979678520102833321363.96%2227267.57%6860145259.23%792148853.23%770128459.97%1625105412775081005535
Total Saison Régulière655180321043317625732227030002109311733291002102238314011243373311661210614417942876941932996101979678520102833321363.96%2227267.57%6860145259.23%792148853.23%770128459.97%1625105412775081005535