Devils

GP: 66 | W: 38 | L: 25 | OTL: 3 | P: 79
GF: 422 | GA: 321 | PP%: 61.78% | PK%: 55.00%
DG: Gilles Crites | Morale : 60 | Moyenne d'Équipe : 66
Prochain matchs #765 vs Bears
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 HanzalX100.007642797493816773855261677077666542700
2Mattias JanmarkX100.005742858072879772705569727256536180690
3Joel Eriksson EkXXX100.007742797975819174745156676453548278670
4Kyle CliffordX100.008443747084766565514957717171636555670
5John Quenneville (R)X100.006044696075737463666362596251517880670
6Evgeny Svechnikov (R)X100.006345668681618888504655605550508374650
7Marcus SorensenX100.005742796662687662594865666652515838620
8Roope Hintz (R)X100.006442736279659958505661606150504478610
9Brendan SmithX100.007046737079748469305552756364576577700
10Kevin ConnautonX100.007442846977768974305162747260575377700
11Jon MerrillX100.006441866679785167306469666760557254650
12Adam ClendeningX100.005748605170619360306454615553527373610
13Paul LaDueX100.005442765875637259305960606151514780610
14Rasmus AnderssonX100.006643695078628661306557605750507180610
15Filip Hronek (R)X100.005344685065559660306157605750504474590
Rayé
MOYENNE D'ÉQUIPE100.00654375667671826748566065645754646965
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 Ullmark100.00757280808080808080757252644780740
Rayé
MOYENNE D'ÉQUIPE100.0075728080808080808075725264478074
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
1Kevin ConnautonDevils (NJD)D665994153-42401158138114115715.49%120170825.8854551091352170118180420.00%075127051.79000001188
2Brendan SmithDevils (NJD)D6631108139-55801257726811713611.57%129169625.7128751037521703311161400.00%051133021.6400000275
3Mattias JanmarkDevils (NJD)C666556121332810919944113724714.74%46142421.58613191154202171727067.59%119110560041.70021011169
4Evgeny SvechnikovDevils (NJD)RW664044843049575293148416812.74%22103015.6111718155411212643256.41%789219031.6300010365
5Jon MerrillDevils (NJD)D602447711511550412147810311.21%54112018.6822184051112000295200.00%05567011.2700001522
6Joel Eriksson EkDevils (NJD)C/LW/RW2333346761953919168459819.64%1752522.832124453395000055168.97%295616152.5500100624
7John QuennevilleDevils (NJD)C66171633-548105549135358812.59%1371110.78000011014400064.11%8723013000.9311101013
8Roope HintzDevils (NJD)LW66171330-435156028118308314.41%1674911.360550111013322050.70%712623000.8000111031
9Paul LaDueDevils (NJD)D6642125-13515362411753453.42%2482712.5400000000010041.67%362834000.6000102000
10Martin HanzalDevils (NJD)C119132222915132052142317.31%1427324.8838117340002421067.97%3591213001.6100021130
11Kyle CliffordDevils (NJD)LW13791661802073192922.58%930123.174486420000160155.56%27714001.0600000010
12Marcus SorensenDevils (NJD)LW3268143312021163092920.00%1243413.57145151000000063.89%3649000.6400000002
13Rasmus AnderssonDevils (NJD)D665914-16321025157628326.58%3370010.6154971100005000.00%0951000.4000101011
14Filip HronekDevils (NJD)D66257-42159113113166.45%213795.75213211000119000.00%4318000.3700010000
15Adam ClendeningDevils (NJD)D65145-927526266926271.45%3771511.000001300015100100.00%1340000.1400010000
Stats d'équipe Total ou en Moyenne798320481801774461007605422445819128113.09%5671259815.7915721837534492055106189028665.16%27045566371201.2713668394040
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 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$0$NoLien
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$0$NoLien
Kevin ConnautonDevils (NJD)D271990-02-23No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,375,000$0$0$NoLien
Kyle CliffordDevils (NJD)LW261991-01-13No211 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm1,700,000$0$0$NoLien
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$0$NoLien
Mattias JanmarkDevils (NJD)C241992-12-08No196 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm2,300,000$0$0$NoLien
Paul LaDueDevils (NJD)D251992-09-06No198 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$NoLien
Rasmus AnderssonDevils (NJD)D201996-10-27No214 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm755,833$0$0$NoLien
Roope HintzDevils (NJD)LW201996-11-17Yes205 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1623.63203 Lbs6 ft21.501,134,125$



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
230122
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
240122
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
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Kevin ConnautonBrendan Smith60122
2Mattias Janmark4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mattias Janmark60122
2John Quenneville40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin ConnautonBrendan Smith60122
240122
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
1Admirals21100000911-21010000069-31100000032120.5009152400971761472969961090971117925233911654.55%9633.33%0867165452.42%695127154.68%877141462.02%160099913374891033581
2Barracuda22000000181081100000086211000000104641.0001832500097176147210499610909711152151841161062.50%9544.44%0867165452.42%695127154.68%877141462.02%160099913374891033581
3Bears4400000030111911000000835330000002281481.00030508000971761472205996109097111100311678231252.17%8275.00%0867165452.42%695127154.68%877141462.02%160099913374891033581
4Blacknight11000000761000000000001100000076121.00071320009717614725699610909711129641644100.00%2150.00%0867165452.42%695127154.68%877141462.02%160099913374891033581
5Bruins440000003818202200000019811220000001910981.00038651030097176147219499610909711196343174262076.92%13653.85%1867165452.42%695127154.68%877141462.02%160099913374891033581
6Condors20200000913-41010000056-11010000047-300.0009132200971761472100996109097111903018409555.56%9544.44%0867165452.42%695127154.68%877141462.02%160099913374891033581
7Crunch220000001651122000000165110000000000041.00016274300971761472989961090971116123105113861.54%5340.00%0867165452.42%695127154.68%877141462.02%160099913374891033581
8Gulls21100000191091010000078-1110000001221020.5001931500097176147210099610909711162291249131292.31%6350.00%0867165452.42%695127154.68%877141462.02%160099913374891033581
9Heat2200000013671100000032111000000104641.00013233600971761472909961090971114117433915746.67%10280.00%0867165452.42%695127154.68%877141462.02%160099913374891033581
10Icedogs22000000175121100000074311000000101941.0001728450097176147210899610909711148171535171270.59%5340.00%0867165452.42%695127154.68%877141462.02%160099913374891033581
11Marlies302000101417-320100010910-11010000057-220.33314223620971761472154996109097111126261649171058.82%8537.50%0867165452.42%695127154.68%877141462.02%160099913374891033581
12Monsters420002002216631000200171431100000052360.75022345600971761472157996109097111101262459201470.00%12466.67%2867165452.42%695127154.68%877141462.02%160099913374891033581
13Moose211000001718-111000000116510100000612-620.500173047009717614721059961090971119723323688100.00%11554.55%0867165452.42%695127154.68%877141462.02%160099913374891033581
14Penguins63300000312653120000017161321000001410460.50031518200971761472253996109097111180564896311651.61%20860.00%0867165452.42%695127154.68%877141462.02%160099913374891033581
15Phantoms422000002724311000000532312000002221140.5002745720097176147215599610909711118988497219947.37%171135.29%0867165452.42%695127154.68%877141462.02%160099913374891033581
16Rampages1010000023-1000000000001010000023-100.00024600971761472529961090971113914417200.00%220.00%0867165452.42%695127154.68%877141462.02%160099913374891033581
17Reigh20200000715-81010000026-41010000059-400.000711180097176147286996109097111752918285480.00%9366.67%0867165452.42%695127154.68%877141462.02%160099913374891033581
18Rocket422000002118311000000624312000001516-140.5002135560097176147217899610909711112036307319842.11%15380.00%0867165452.42%695127154.68%877141462.02%160099913374891033581
19Senateurs312000001116-51010000048-42110000078-120.3331119300097176147213299610909711114647184110550.00%9455.56%0867165452.42%695127154.68%877141462.02%160099913374891033581
20Sound Tigers72401000434123120000023221412010002019160.42943691120097176147229899610909711127988100139301963.33%301743.33%1867165452.42%695127154.68%877141462.02%160099913374891033581
21Stars302000011422-820100001912-310100000510-510.1671421350097176147213299610909711115963386216850.00%14842.86%1867165452.42%695127154.68%877141462.02%160099913374891033581
22Thunderbird330000002982122000000234191100000064261.0002948770097176147216199610909711185234459171376.47%12283.33%0867165452.42%695127154.68%877141462.02%160099913374891033581
Total6636250121142232110131161100211205154513520140100021716750790.59842270111232097176147230619961090971112284750621121434821561.78%24010855.00%5867165452.42%695127154.68%877141462.02%160099913374891033581
24Wolves11000000826000000000001100000082621.00081523009717614724799610909711130410217571.43%50100.00%0867165452.42%695127154.68%877141462.02%160099913374891033581
_Since Last GM Reset6636250121142232110131161100211205154513520140100021716750790.59842270111232097176147230619961090971112284750621121434821561.78%24010855.00%5867165452.42%695127154.68%877141462.02%160099913374891033581
_Vs Conference442515012102822008221126002101479552231390100013510530560.636282465747209717614721985996109097111148347838679122513459.56%1496556.38%4867165452.42%695127154.68%877141462.02%160099913374891033581
_Vs Division251390120015311835115400200705812148501000836023300.6001532494020097176147210689961090971118492892374441237056.91%874251.72%3867165452.42%695127154.68%877141462.02%160099913374891033581

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6679W1422701112330612284750621121420
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6636251211422321
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3116110211205154
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3520141000217167
Derniers 10 Matchs
WLOTWOTL SOWSOL
440110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
34821561.78%24010855.00%5
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
996109097111971761472
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
867165452.42%695127154.68%877141462.02%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
160099913374891033581


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 - 2019-01-02356Devils4Penguins5LSommaire du Match
87 - 2019-01-03360Bruins6Devils10WSommaire du Match
90 - 2019-01-06381Devils6Moose12LSommaire du Match
91 - 2019-01-07385Stars9Devils7LSommaire du Match
95 - 2019-01-11398Devils5Stars10LSommaire du Match
96 - 2019-01-12406Monsters5Devils4LXSommaire du Match
103 - 2019-01-19432Icedogs4Devils7WSommaire du Match
105 - 2019-01-21437Devils5Sound Tigers6LSommaire du Match
107 - 2019-01-23449Devils7Blacknight6WSommaire du Match
109 - 2019-01-25456Moose6Devils11WSommaire du Match
112 - 2019-01-28474Devils6Bears1WSommaire du Match
114 - 2019-01-30480Reigh6Devils2LSommaire du Match
120 - 2019-02-05504Condors6Devils5LSommaire du Match
123 - 2019-02-08513Devils5Marlies7LSommaire du Match
126 - 2019-02-11524Devils5Phantoms8LSommaire du Match
128 - 2019-02-13528Marlies6Devils4LSommaire du Match
131 - 2019-02-16549Devils2Rampages3LSommaire du Match
132 - 2019-02-17553Admirals9Devils6LSommaire du Match
136 - 2019-02-21571Devils8Bears5WSommaire du Match
137 - 2019-02-22576Crunch4Devils7WSommaire du Match
141 - 2019-02-26593Devils4Rocket10LSommaire du Match
143 - 2019-02-28600Sound Tigers8Devils6LSommaire du Match
145 - 2019-03-02610Devils4Sound Tigers3WXSommaire du Match
148 - 2019-03-05624Barracuda6Devils8WSommaire du Match
150 - 2019-03-07638Devils3Senateurs6LSommaire du Match
152 - 2019-03-09648Sound Tigers10Devils7LSommaire du Match
157 - 2019-03-14672Monsters6Devils5LXSommaire du Match
161 - 2019-03-18684Devils10Bruins5WSommaire du Match
163 - 2019-03-20696Marlies4Devils5WXXSommaire du Match
166 - 2019-03-23711Devils9Bruins5WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25719Senateurs8Devils4LSommaire du Match
175 - 2019-04-01744Penguins7Devils6LSommaire du Match
179 - 2019-04-05756Devils10Heat4WSommaire du Match
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
10 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,299,199$ 1,814,600$ 1,814,600$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,425,835$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 12,509$ 713,013$




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
266362501211422321101311611002112051545135201401000217167507942270111232097176147230619961090971112284750621121434821561.78%24010855.00%5867165452.42%695127154.68%877141462.02%160099913374891033581
Total Saison Régulière66362501211422321101311611002112051545135201401000217167507942270111232097176147230619961090971112284750621121434821561.78%24010855.00%5867165452.42%695127154.68%877141462.02%160099913374891033581