Devils

GP: 33 | W: 25 | L: 7 | OTL: 1 | P: 51
GF: 225 | GA: 115 | PP%: 57.30% | PK%: 66.41%
DG: Gilles Crites | Morale : 66 | Moyenne d'Équipe : 66
Prochain matchs #356 vs Penguins
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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
1Martin HanzalX100.007642797493816773855261677077666534700
2Mattias JanmarkX99.005742858072879772705569727256536177690
3Joel Eriksson EkXXX100.007742797975819174745156676453548270670
4Kyle CliffordX100.008443747084766565514957717171636546670
5John Quenneville (R)X100.006044696075737463666362596251517877670
6Evgeny Svechnikov (R)X100.006345668681618888504655605550508375650
7Roope Hintz (R)X100.006442736279659958505661606150504473610
8Brendan SmithX98.007046737079748469305552756364576575700
9Kevin ConnautonX98.007442846977768974305162747260575375700
10Neal Pionk (R)X100.006042787168639271307253805551534475700
11Jon MerrillX99.856441866679785167306469666760557266660
12Adam ClendeningX100.005748605170619360306454615553527374610
13Paul LaDueX100.005442765875637259305960606151514776610
14Rasmus AnderssonX100.006643695078628661306557605750507177610
15Filip Hronek (R)X100.005344685065559660306157605750504475590
Rayé
1Marcus SorensenX97.745742796662687662594865666652515865620
MOYENNE D'ÉQUIPE99.44654375667670836747575966635654636965
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
1Linus Ullmark100.00757280808080808080757252644777740
Rayé
MOYENNE D'ÉQUIPE100.0075728080808080808075725264477774
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo69877787816582CAN4441,150,000$


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
1Mattias JanmarkDevils (NJD)C33443579482355665201478821.89%1771621.71612181052101101045069.74%7374330042.2101100945
2Brendan SmithDevils (NJD)D33155873222806041118454212.71%5086626.25143751321220228101300.00%02272021.6900000234
3Kevin ConnautonDevils (NJD)D33264672231405929135555619.26%6787726.60232649461220114110210.00%02464011.6400000363
4Joel Eriksson EkDevils (NJD)C/LW/RW2333346761953919168459819.64%1752522.832124453395000055168.97%295616152.5500100624
5Evgeny SvechnikovDevils (NJD)RW33263157353005014150397417.33%1051715.671161715520119372261.11%545314032.2000000333
6Neal PionkDevils (NJD)D3310273725100282692415410.87%2863519.24712192769011463100.00%0840001.1700000022
7Jon MerrillDevils (NJD)D33112334271152622107253910.28%3062518.9695142268000164200.00%02335001.0900001102
8Martin HanzalDevils (NJD)C119132222915132052142317.31%1427324.8838117340002421067.97%3591213001.6100021130
9Roope HintzDevils (NJD)LW3310102072410421658153917.24%841912.710550111011201052.78%361714000.9500011021
10Kyle CliffordDevils (NJD)LW13791661802073192922.58%930123.174486420000160155.56%27714001.0600000010
11Marcus SorensenDevils (NJD)LW3268143312021163092920.00%1243413.57145151000000063.89%3649000.6400000002
12John QuennevilleDevils (NJD)C335712419534235617488.93%839511.98000011012300066.12%304810000.6100100001
13Paul LaDueDevils (NJD)D332810923518155622213.57%1442712.9500000000010044.44%91218000.4700001000
14Rasmus AnderssonDevils (NJD)D33156-5155871810115.56%1634810.551232500001000.00%0329000.3400100001
15Filip HronekDevils (NJD)D3303301004913560.00%101875.680000400018000.00%417000.3200000000
16Adam ClendeningDevils (NJD)D32000214013121911100.00%1135411.080000100002700100.00%1020000.0000000000
Stats d'équipe Total ou en Moyenne47420531752224429955491341130440966715.72%321790416.681001452452017393584263722567.29%15962934051151.3201434252628
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
1Linus UllmarkDevils (NJD)2825210.9182.5616852072880407300.6673280220
Stats d'équipe Total ou en Moyenne2825210.9182.5616852072880407300.6673280220


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
Adam ClendeningDevils (NJD)D241992-10-26No196 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm776,000$0$0$NoLien
Brendan SmithDevils (NJD)D281989-02-08No211 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm1,770,000$0$0$No1,770,000$1,770,000$Lien
Evgeny SvechnikovDevils (NJD)RW201996-10-31Yes212 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Filip HronekDevils (NJD)D191997-11-02Yes163 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joel Eriksson EkDevils (NJD)C/LW/RW201997-01-29No206 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm894,166$0$0$NoLien
John QuennevilleDevils (NJD)C211996-04-16Yes195 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Jon MerrillDevils (NJD)D251992-02-03No205 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm1,400,000$0$0$No1,400,000$Lien
Kevin ConnautonDevils (NJD)D271990-02-23No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,375,000$0$0$No1,375,000$Lien
Kyle CliffordDevils (NJD)LW261991-01-13No211 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm1,700,000$0$0$No1,700,000$Lien
Linus UllmarkDevils (NJD)G241993-07-31No221 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Marcus SorensenDevils (NJD)LW251992-04-07No175 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm755,000$0$0$NoLien
Martin HanzalDevils (NJD)C301987-02-20No230 Lbs6 ft6NoNoNo2Sans RestrictionPro & Farm1,770,000$0$0$No1,770,000$Lien
Mattias JanmarkDevils (NJD)C241992-12-08No196 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm2,300,000$0$0$NoLien
Neal PionkDevils (NJD)D221995-07-29Yes190 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Paul LaDueDevils (NJD)D251992-09-06No198 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No900,000$Lien
Rasmus AnderssonDevils (NJD)D201996-10-27No214 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm755,833$0$0$No755,833$Lien
Roope HintzDevils (NJD)LW201996-11-17Yes205 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1723.53202 Lbs6 ft21.471,111,529$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Mattias JanmarkEvgeny Svechnikov30122
3Roope HintzJohn QuennevillePaul LaDue20122
4Mattias Janmark10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonBrendan Smith40122
2Neal PionkJon Merrill30122
3Rasmus AnderssonAdam Clendening20122
4Paul LaDueFilip Hronek10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Mattias JanmarkEvgeny Svechnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonBrendan Smith60122
2Neal PionkJon Merrill40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mattias Janmark60122
2John Quenneville40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonBrendan Smith60122
2Neal PionkJon Merrill40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Kevin ConnautonBrendan Smith60122
2Mattias Janmark40122Neal PionkJon Merrill40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mattias Janmark60122
2John Quenneville40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonBrendan Smith60122
2Neal PionkJon Merrill40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kevin ConnautonBrendan Smith
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kevin ConnautonBrendan Smith
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Roope Hintz, , Evgeny SvechnikovRoope Hintz, Evgeny Svechnikov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rasmus Andersson, Adam Clendening, Filip HronekRasmus AnderssonAdam Clendening, Filip Hronek
Tirs de Pénalité
, Mattias Janmark, , John Quenneville,
Gardien
#1 : , #2 :


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
1Admirals11000000321000000000001100000032121.00036900569277044468535421542154175360.00%20100.00%043275157.52%45076458.90%45968966.62%786468662247535312
2Barracuda1100000010460000000000011000000104621.00010172700569277047468535421523714128675.00%7357.14%043275157.52%45076458.90%45968966.62%786468662247535312
3Bears2200000016511110000008351100000082641.0001625410056927709546853542155014104311545.45%5260.00%043275157.52%45076458.90%45968966.62%786468662247535312
4Bruins11000000927110000009270000000000021.00091221005692770384685354215291210217571.43%5180.00%143275157.52%45076458.90%45968966.62%786468662247535312
5Condors1010000047-3000000000001010000047-300.0004711005692770504685354215451210185240.00%5260.00%043275157.52%45076458.90%45968966.62%786468662247535312
6Crunch11000000918110000009180000000000021.000914230056927703846853542152684266466.67%2150.00%043275157.52%45076458.90%45968966.62%786468662247535312
7Gulls21100000191091010000078-1110000001221020.500193150005692770100468535421562291249131292.31%6350.00%043275157.52%45076458.90%45968966.62%786468662247535312
8Heat11000000321110000003210000000000021.00036900569277041468535421526925196116.67%6183.33%043275157.52%45076458.90%45968966.62%786468662247535312
9Icedogs1100000010190000000000011000000101921.00010142400569277056468535421521791510770.00%2150.00%043275157.52%45076458.90%45968966.62%786468662247535312
10Monsters220000001358110000008351100000052341.000132033005692770684685354215427123311763.64%6183.33%143275157.52%45076458.90%45968966.62%786468662247535312
11Penguins431000002114721100000119222000000105560.7502134550056927701664685354215111414163221150.00%18761.11%043275157.52%45076458.90%45968966.62%786468662247535312
12Phantoms321000002216611000000532211000001713440.667223658005692770115468535421513963374916637.50%11736.36%043275157.52%45076458.90%45968966.62%786468662247535312
13Reigh1010000059-4000000000001010000059-400.000581300569277044468535421542136184375.00%3233.33%043275157.52%45076458.90%45968966.62%786468662247535312
14Rocket3210000017891100000062421100000116540.66717274400569277011846853542157628245012541.67%12191.67%043275157.52%45076458.90%45968966.62%786468662247535312
15Senateurs11000000422000000000001100000042221.000471100569277044468535421546112173266.67%110.00%043275157.52%45076458.90%45968966.62%786468662247535312
16Sound Tigers3210000021147110000001046211000001110140.667213354005692770111468535421512437745217847.06%17947.06%143275157.52%45076458.90%45968966.62%786468662247535312
17Stars1000000123-11000000123-10000000000010.500224005692770434685354215561512255120.00%60100.00%043275157.52%45076458.90%45968966.62%786468662247535312
18Thunderbird330000002982122000000234191100000064261.000294877005692770161468535421585234459171376.47%12283.33%043275157.52%45076458.90%45968966.62%786468662247535312
Total33257000012251151101411200001101445719145000001247153510.77322536258700569277014264685354215107535536060718510657.30%1314466.41%343275157.52%45076458.90%45968966.62%786468662247535312
20Wolves11000000826000000000001100000082621.0008152300569277047468535421530410217571.43%50100.00%043275157.52%45076458.90%45968966.62%786468662247535312
_Since Last GM Reset33257000012251151101411200001101445719145000001247153510.77322536258700569277014264685354215107535536060718510657.30%1314466.41%343275157.52%45076458.90%45968966.62%786468662247535312
_Vs Conference231940000016175861110100000893158129300000724428380.82616125641700569277095446853542157282442584131226654.10%893264.04%343275157.52%45076458.90%45968966.62%786468662247535312
_Vs Division14113000009354396510000042222086200000513219220.786931482410056927705554685354215466162174240773748.05%572654.39%243275157.52%45076458.90%45968966.62%786468662247535312

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3351L52253625871426107535536060700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
332570001225115
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
14112000110144
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
19145000012471
Derniers 10 Matchs
WLOTWOTL SOWSOL
450001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
18510657.30%1314466.41%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
46853542155692770
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
43275157.52%45076458.90%45968966.62%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
786468662247535312


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
2 - 2018-10-106Monsters3Devils8WSommaire du Match
5 - 2018-10-1319Devils4Sound Tigers7LSommaire du Match
8 - 2018-10-1630Penguins1Devils8WSommaire du Match
12 - 2018-10-2040Devils6Penguins3WSommaire du Match
18 - 2018-10-2661Phantoms3Devils5WSommaire du Match
21 - 2018-10-2977Bears3Devils8WSommaire du Match
23 - 2018-10-3186Devils5Monsters2WSommaire du Match
25 - 2018-11-0294Devils4Rocket5LSommaire du Match
27 - 2018-11-04104Rocket2Devils6WSommaire du Match
30 - 2018-11-07122Devils7Sound Tigers3WSommaire du Match
32 - 2018-11-09133Sound Tigers4Devils10WSommaire du Match
34 - 2018-11-11141Devils9Phantoms3WSommaire du Match
36 - 2018-11-13152Bruins2Devils9WSommaire du Match
37 - 2018-11-14159Devils8Bears2WSommaire du Match
41 - 2018-11-18176Devils4Penguins2WSommaire du Match
43 - 2018-11-20183Thunderbird2Devils15WSommaire du Match
48 - 2018-11-25198Devils12Gulls2WSommaire du Match
50 - 2018-11-27207Thunderbird2Devils8WSommaire du Match
52 - 2018-11-29215Devils8Wolves2WSommaire du Match
54 - 2018-12-01225Devils3Admirals2WSommaire du Match
57 - 2018-12-04235Crunch1Devils9WSommaire du Match
60 - 2018-12-07247Devils10Icedogs1WSommaire du Match
62 - 2018-12-09251Devils7Rocket1WSommaire du Match
65 - 2018-12-12261Heat2Devils3WSommaire du Match
67 - 2018-12-14270Devils4Senateurs2WSommaire du Match
69 - 2018-12-16281Devils10Barracuda4WSommaire du Match
71 - 2018-12-18288Stars3Devils2LXXSommaire du Match
73 - 2018-12-20296Devils6Thunderbird4WSommaire du Match
75 - 2018-12-22309Devils4Condors7LSommaire du Match
76 - 2018-12-23312Penguins8Devils3LSommaire du Match
79 - 2018-12-26324Devils5Reigh9LSommaire du Match
81 - 2018-12-28333Devils8Phantoms10LSommaire du Match
82 - 2018-12-29339Gulls8Devils7LSommaire du Match
86 - 2019-01-02356Devils-Penguins-
87 - 2019-01-03360Bruins-Devils-
90 - 2019-01-06381Devils-Moose-
91 - 2019-01-07385Stars-Devils-
95 - 2019-01-11398Devils-Stars-
96 - 2019-01-12406Monsters-Devils-
103 - 2019-01-19432Icedogs-Devils-
105 - 2019-01-21437Devils-Sound Tigers-
107 - 2019-01-23449Devils-Blacknight-
109 - 2019-01-25456Moose-Devils-
112 - 2019-01-28474Devils-Bears-
114 - 2019-01-30480Reigh-Devils-
120 - 2019-02-05504Condors-Devils-
123 - 2019-02-08513Devils-Marlies-
126 - 2019-02-11524Devils-Phantoms-
128 - 2019-02-13528Marlies-Devils-
131 - 2019-02-16549Devils-Rampages-
132 - 2019-02-17553Admirals-Devils-
136 - 2019-02-21571Devils-Bears-
137 - 2019-02-22576Crunch-Devils-
141 - 2019-02-26593Devils-Rocket-
143 - 2019-02-28600Sound Tigers-Devils-
145 - 2019-03-02610Devils-Sound Tigers-
148 - 2019-03-05624Barracuda-Devils-
150 - 2019-03-07638Devils-Senateurs-
152 - 2019-03-09648Sound Tigers-Devils-
157 - 2019-03-14672Monsters-Devils-
161 - 2019-03-18684Devils-Bruins-
163 - 2019-03-20696Marlies-Devils-
166 - 2019-03-23711Devils-Bruins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25719Senateurs-Devils-
175 - 2019-04-01744Penguins-Devils-
179 - 2019-04-05756Devils-Heat-
181 - 2019-04-07765Bears-Devils-
183 - 2019-04-09771Devils-Marlies-
187 - 2019-04-13791Bears-Devils-
190 - 2019-04-16802Devils-Monsters-
192 - 2019-04-18814Blacknight-Devils-
200 - 2019-04-26839Phantoms-Devils-
203 - 2019-04-29855Devils-Monsters-
205 - 2019-05-01861Phantoms-Devils-
209 - 2019-05-05882Rampages-Devils-
212 - 2019-05-08889Devils-Thunderbird-
215 - 2019-05-11905Rocket-Devils-
219 - 2019-05-15920Devils-Crunch-
221 - 2019-05-17933Wolves-Devils-
223 - 2019-05-19940Devils-Crunch-
228 - 2019-05-24956Senateurs-Devils-
233 - 2019-05-29974Rocket-Devils-



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
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,074,825$ 1,889,600$ 1,889,600$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 667,256$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 12,825$ 1,962,225$




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
2332570000122511511014112000011014457191450000012471535122536258700569277014264685354215107535536060718510657.30%1314466.41%343275157.52%45076458.90%45968966.62%786468662247535312
Total Saison Régulière332570000122511511014112000011014457191450000012471535122536258700569277014264685354215107535536060718510657.30%1314466.41%343275157.52%45076458.90%45968966.62%786468662247535312