Devils

GP: 76 | W: 57 | L: 16 | OTL: 3 | P: 117
GF: 249 | GA: 114 | PP%: 17.08% | PK%: 88.79%
DG: Thomas Perron-Bibeau | Morale : 99 | Moyenne d'Équipe : 57
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
1Lance BoumaXXX99.00895573738585666962666174556667190670
2Josh LeivoX99.00625577716662726850646467555050190620
3Wade MeganX99.00675560687465726250626360555050190610
4Gabriel Gagne (R)X99.00595566627670635550555555557366191580
5T.J. TynanX100.00605567626065756050606159555050190580
6Luke GazdicX99.00855569628180545550555555556060183580
7Yan-Pavel Laplante (R)X100.00595566626661605573555558557170190570
8Alexandre Fortin (R)X100.00695578556461695550555555557272145560
9Klim Kostin (R)X99.00725567557659675550555555555050146550
10Roland McKeownX99.00675560817373686925626066555353190650
11Rasmus AnderssonX99.00585559615959755925595959555353191580
12Brent RegnerX100.00555559605959635925595959555353190570
13Keegan LoweX100.00555555605555695525555555555353139540
Rayé
1Chris TerryX100.00605566727367616150606060557374168610
2Boyd GordonX100.00565555555859595550555555557173120540
3Nick Sorensen (R)X100.00605569556864675550555555555050120540
4Tye McGinnX100.00565555555555555550555555555555120530
5Hunter ShinkarukX100.00565555555657565550555555555050120530
6Kyle BaunX100.00565555555556555550555555555050120520
7Joseph CramarossaX100.00565555555556555550555555555050120520
8Brandon GormleyX100.00555555605555665525555555555353120540
9Michael PaliottaX100.00555555605555665525555555555353120540
10Chad Billins (R)X100.00555555605555675525555555555353145540
11Filip Hronek (R)X100.00575555605555565525555555555762120540
12Taylor DohertyX100.00555555605555545525555555555353120530
13Reece Willcox (R)X100.00555555605555585525555555555353120530
14Niklas Hansson (R)X100.00555555605555555525555555555555120530
MOYENNE D'ÉQUIPE99.7061556161636163574157575755575715156
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
1Ville Husso100.0072717580717172717170556967177700
2Sam Brittain100.0063686186666664717068556866190670
Rayé
1Leland Irving100.0066746474667064686763555055151640
2Connor Ingram (R)100.0055555555555555555555555055120530
3Matt Tomkins (R)100.0046506379434550534647555055120510
MOYENNE D'ÉQUIPE100.006064647560616164626155576015261
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Johnston34645357754248CAN6155,275,000$


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
1Roland McKeownDevils (New)D761049593994101335312045738.33%72170422.4371421793250112337300.00%000000.6900002248
2Matt CullenNew Jersey DevilsC/LW5229275639315341711975114514.72%11144227.7488163725100033129069.39%145700010.7835010952
3Lance BoumaDevils (New)C/LW/RW762135562711551951301714713012.28%16135217.79614205537401121922165.67%43400210.8313001562
4Remi ElieNew Jersey DevilsLW652425493244067991785611813.48%10115317.7495143721700021003270.59%8500020.8500000534
5Derek MacKenzieNew Jersey DevilsC/LW46232447236601181011304110717.69%1194020.4579163319700031546174.60%24800001.0012000244
6Mark JankowskiNew Jersey DevilsC5121244520711562144220691509.55%10110521.6859144420310172276165.41%105800000.8146201561
7Travis DermottNew Jersey DevilsD55636421763567899929696.06%46133724.3161824732530000287200.00%000000.6300100121
8Nathan BeaulieuNew Jersey DevilsD571230422196108865107296711.21%56136623.9881220782670003285220.00%000000.6100101411
9Wade MeganDevils (New)C76162238326359295110287614.55%396912.7643712900000352155.21%86400000.7811100065
10Josh LeivoDevils (New)LW741916352236103086141499213.48%15103113.94145175400041395153.19%14100010.6801002213
11Brent RegnerDevils (New)D7662026358601103041123514.63%50128816.9535815139000112920100.00%100000.4000000112
12T.J. TynanDevils (New)C76620262820032906811408.82%979810.500112180000292152.80%67800000.6500000033
13Chris TerryDevils (New)LW608111921140182752173315.38%34467.440112270001251161.54%3900010.8500000114
14Rasmus AnderssonDevils (New)D76217194989577325919253.39%46157320.70077422970001302000.00%100000.2400001000
15Gabriel GagneDevils (New)RW653131622431533223613388.33%6112917.3826872900001190051.28%7800000.2800201000
16Luke GazdicDevils (New)LW5957121225527163571414.29%13606.111346590000301068.29%4100100.6700100101
17Chad BillinsDevils (New)D3801111174205695530.00%1958015.29022016000076000.00%000000.3800000001
18Klim KostinDevils (New)RW27167936036172714153.70%542415.711341075000011050.00%2600000.3300000021
19Yan-Pavel LaplanteDevils (New)LW7642612405192081920.00%23414.491013370000701056.90%5800100.3500000003
20Filip HronekDevils (New)D2013411361027291411.11%730615.34011313000037000.00%000000.2600002001
21Alexandre FortinDevils (New)LW311234100141149925.00%42247.261012290000400057.14%4200000.2700000000
22Brandon GormleyDevils (New)D91124809120150.00%214015.6410128000015000.00%000000.2800000000
23Keegan LoweDevils (New)D201124100358891112.50%1437418.72011338000048000.00%000000.1100000000
Stats d'équipe Total ou en Moyenne12612204026225001102100136513171839569127411.96%4182039416.17711261975623286123302898481162.96%525100460.6110188111384547
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
1Sam BrittainDevils (New)4334710.9281.38257328598240200.800104235521
2Ville HussoDevils (New)3322920.9261.60194985527030300.7789333621
3Leland IrvingDevils (New)21000.9370.7481001160000.0000138000
Stats d'équipe Total ou en Moyenne78571630.9271.464603101311215430500.7891976761142


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
Alexandre FortinDevils (New)LW191997-02-25Yes174 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Boyd GordonDevils (New)C331983-10-18No200 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No
Brandon GormleyDevils (New)D241992-02-17No196 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Brent RegnerDevils (New)D271989-05-16No189 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Chad BillinsDevils (New)D271989-05-26Yes180 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No
Chris TerryDevils (New)LW271989-04-07No194 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Connor IngramDevils (New)G191997-03-31Yes212 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm0$0$No
Filip HronekDevils (New)D191997-11-02Yes170 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No
Gabriel GagneDevils (New)RW201996-11-11Yes187 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Hunter ShinkarukDevils (New)LW221994-10-13No181 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No
Joseph CramarossaDevils (New)C241992-10-26No192 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Josh LeivoDevils (New)LW231993-05-26No173 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Keegan LoweDevils (New)D231993-03-29No195 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Klim KostinDevils (New)RW171999-05-05Yes196 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm0$0$No
Kyle BaunDevils (New)RW241992-05-04No209 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Lance BoumaDevils (New)C/LW/RW261990-03-25No210 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Leland IrvingDevils (New)G281988-04-10No176 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Luke GazdicDevils (New)LW271989-07-25No233 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Matt TomkinsDevils (New)G221994-06-19Yes194 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Michael PaliottaDevils (New)D231993-04-16No207 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Nick SorensenDevils (New)RW221994-10-23Yes182 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Niklas HanssonDevils (New)D231993-03-17Yes181 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Rasmus AnderssonDevils (New)D201996-10-27No214 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Reece WillcoxDevils (New)D221994-03-19Yes184 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Roland McKeownDevils (New)D201996-01-20No195 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Sam BrittainDevils (New)G241992-05-10No229 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
T.J. TynanDevils (New)C241992-02-24No165 Lbs5 ft8NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Taylor DohertyDevils (New)D251991-03-01No236 Lbs6 ft8NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Tye McGinnDevils (New)LW261990-07-28No205 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Ville HussoDevils (New)G211995-02-06No205 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Wade MeganDevils (New)C261990-07-21No192 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Yan-Pavel LaplanteDevils (New)LW211995-04-23Yes178 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3223.38195 Lbs6 ft12.47431,250$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Josh LeivoLance BoumaGabriel Gagne40122
2Luke GazdicWade MeganKlim Kostin30122
3Yan-Pavel LaplanteT.J. TynanLance Bouma20122
4Alexandre FortinJosh LeivoWade Megan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roland McKeownRasmus Andersson40122
2Brent RegnerKeegan Lowe30122
3Roland McKeownRasmus Andersson20122
4Brent RegnerKeegan Lowe10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Josh LeivoLance BoumaGabriel Gagne60122
2Luke GazdicWade MeganKlim Kostin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roland McKeownRasmus Andersson60122
2Brent RegnerKeegan Lowe40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Lance BoumaJosh Leivo60122
2Wade MeganGabriel Gagne40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roland McKeownRasmus Andersson60122
2Brent RegnerKeegan Lowe40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Lance Bouma60122Roland McKeownRasmus Andersson60122
2Josh Leivo40122Brent RegnerKeegan Lowe40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Lance BoumaJosh Leivo60122
2Wade MeganGabriel Gagne40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Roland McKeownRasmus Andersson60122
2Brent RegnerKeegan Lowe40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Josh LeivoLance BoumaGabriel GagneRoland McKeownRasmus Andersson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Josh LeivoLance BoumaGabriel GagneRoland McKeownRasmus Andersson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
T.J. Tynan, Yan-Pavel Laplante, Alexandre FortinT.J. Tynan, Yan-Pavel LaplanteAlexandre Fortin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Roland McKeown, Rasmus Andersson, Brent RegnerRoland McKeownRasmus Andersson, Brent Regner
Tirs de Pénalité
Lance Bouma, Josh Leivo, Wade Megan, Gabriel Gagne, Luke Gazdic
Gardien
#1 : Ville Husso, #2 : Sam Brittain


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
1Americans1035001101623-751200110812-452300000811-390.4501626420199687216211701641666412216011720877911.69%51884.31%01478236262.57%1297211761.27%644101863.26%212915311573526907489
2Bears211000003211010000001-11100000031220.500369009968721643701641666413610353412216.67%14192.86%01478236262.57%1297211761.27%644101863.26%212915311573526907489
3Bruins20002000532100010003211000100021141.000591400996872163870164166641359303310220.00%15286.67%01478236262.57%1297211761.27%644101863.26%212915311573526907489
4Checkers440000002131822000000927220000001211181.0002138590299687216163701641666417127339112650.00%130100.00%01478236262.57%1297211761.27%644101863.26%212915311573526907489
5Comets861000013616204310000016974300000120713130.813366410001996872161957016416664116757131137431023.26%61886.89%01478236262.57%1297211761.27%644101863.26%212915311573526907489
6Crunch106201010351520531010002010105310001015510160.80035619603996872162827016416664118351188192731621.92%63690.48%01478236262.57%1297211761.27%644101863.26%212915311573526907489
7Marlies660000004754233000000231223300000024420121.0004784131029968721628570164166641105226612323313.04%21290.48%01478236262.57%1297211761.27%644101863.26%212915311573526907489
8Monsters41200010111012020000046-22100001074340.500111728009968721687701641666419121627420315.00%31680.65%01478236262.57%1297211761.27%644101863.26%212915311573526907489
9Penguins412000107702020000024-22100001053240.50071118009968721674701641666411012868692514.00%31390.32%11478236262.57%1297211761.27%644101863.26%212915311573526907489
10Phantoms42100010954210000104222110000053260.75091423019968721692701641666417915666125416.00%22577.27%01478236262.57%1297211761.27%644101863.26%212915311573526907489
11Rocket6410100015963110100076133000000835100.8331525400099687216122701641666411194211210440922.50%43490.70%01478236262.57%1297211761.27%644101863.26%212915311573526907489
12Senators65000001156932000001532330000001037110.917152439019968721614570164166641126301059440410.00%43197.67%01478236262.57%1297211761.27%644101863.26%212915311573526907489
13Sound Tigers22000000523110000002111100000031241.0005914009968721648701641666413413253813215.38%10280.00%01478236262.57%1297211761.27%644101863.26%212915311573526907489
14Thunderbirds4210001013582200000010282010001033060.7501324370099687216126701641666418823509315320.00%25292.00%01478236262.57%1297211761.27%644101863.26%212915311573526907489
Total76471604162249114135382110031211196158382660104113053771170.770249431680013996872162028701641666411543431115314344457617.08%4735388.79%11478236262.57%1297211761.27%644101863.26%212915311573526907489
16Wolf Pack440000001138220000006062200000053281.0001119300299687216117701641666418723658317211.76%30390.00%01478236262.57%1297211761.27%644101863.26%212915311573526907489
_Since Last GM Reset76471604162249114135382110031211196158382660104113053771170.770249431680013996872162028701641666411543431115314344457617.08%4735388.79%11478236262.57%1297211761.27%644101863.26%212915311573526907489
_Vs Conference382280304110153481996020114629171913201030552431590.7761011702710799687216926701641666417722006446782353615.32%2592988.80%11478236262.57%1297211761.27%644101863.26%212915311573526907489
_Vs Division4493000201466680224200010763640225100010703040220.25014625339907996872161209701641666418772376688472784616.55%2612590.42%01478236262.57%1297211761.27%644101863.26%212915311573526907489

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76117SOW12494316802028154343111531434013
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7647164162249114
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
382110312111961
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
38266104113053
Derniers 10 Matchs
WLOTWOTL SOWSOL
611110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4457617.08%4735388.79%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
7016416664199687216
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
1478236262.57%1297211761.27%644101863.26%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
212915311573526907489


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 - 2018-09-0817Marlies1Devils7WSommaire du Match
8 - 2018-09-1229Wolf Pack0Devils3WSommaire du Match
10 - 2018-09-1437Devils2Rocket1WSommaire du Match
11 - 2018-09-1544Devils3Rocket1WSommaire du Match
15 - 2018-09-1964Devils4Senators1WSommaire du Match
17 - 2018-09-2175Crunch4Devils3LSommaire du Match
18 - 2018-09-2290Monsters3Devils2LSommaire du Match
22 - 2018-09-26105Devils3Senators1WSommaire du Match
24 - 2018-09-28110Checkers0Devils3WSommaire du Match
25 - 2018-09-29124Phantoms0Devils1WSommaire du Match
31 - 2018-10-05146Phantoms2Devils3WXXSommaire du Match
32 - 2018-10-06162Devils4Phantoms1WSommaire du Match
36 - 2018-10-10173Devils3Sound Tigers1WSommaire du Match
38 - 2018-10-12186Checkers2Devils6WSommaire du Match
39 - 2018-10-13199Comets1Devils4WSommaire du Match
43 - 2018-10-17217Devils4Crunch0WSommaire du Match
46 - 2018-10-20240Devils8Marlies1WSommaire du Match
47 - 2018-10-21250Devils8Marlies2WSommaire du Match
50 - 2018-10-24260Crunch0Devils5WSommaire du Match
52 - 2018-10-26265Devils2Crunch1WSommaire du Match
53 - 2018-10-27284Americans1Devils2WSommaire du Match
57 - 2018-10-31304Comets2Devils6WSommaire du Match
60 - 2018-11-03327Americans3Devils0LSommaire du Match
61 - 2018-11-04335Devils3Bears1WSommaire du Match
66 - 2018-11-09350Devils3Crunch2WXXSommaire du Match
67 - 2018-11-10370Comets0Devils5WSommaire du Match
68 - 2018-11-11377Devils1Thunderbirds2LSommaire du Match
71 - 2018-11-14386Devils0Americans3LSommaire du Match
73 - 2018-11-16391Devils6Comets1WSommaire du Match
74 - 2018-11-17410Senators0Devils2WSommaire du Match
78 - 2018-11-21425Devils8Marlies1WSommaire du Match
80 - 2018-11-23438Bruins2Devils3WXSommaire du Match
81 - 2018-11-24458Devils7Comets1WSommaire du Match
85 - 2018-11-28468Crunch2Devils3WXSommaire du Match
86 - 2018-11-29472Devils5Comets2WSommaire du Match
88 - 2018-12-01491Devils3Senators1WSommaire du Match
90 - 2018-12-03508Penguins1Devils0LSommaire du Match
94 - 2018-12-07521Marlies0Devils9WSommaire du Match
95 - 2018-12-08538Sound Tigers1Devils2WSommaire du Match
99 - 2018-12-12554Crunch2Devils4WSommaire du Match
101 - 2018-12-14567Devils1Phantoms2LSommaire du Match
102 - 2018-12-15582Monsters3Devils2LSommaire du Match
106 - 2018-12-19598Bears1Devils0LSommaire du Match
108 - 2018-12-21606Devils2Comets3LXXSommaire du Match
109 - 2018-12-22626Crunch2Devils5WSommaire du Match
111 - 2018-12-24636Devils5Crunch0WSommaire du Match
113 - 2018-12-26650Devils2Americans3LSommaire du Match
115 - 2018-12-28659Wolf Pack0Devils3WSommaire du Match
116 - 2018-12-29679Penguins3Devils2LSommaire du Match
122 - 2019-01-04689Americans3Devils1LSommaire du Match
123 - 2019-01-05705Senators2Devils1LXXSommaire du Match
130 - 2019-01-12739Devils4Monsters3WXXSommaire du Match
131 - 2019-01-13749Devils3Monsters1WSommaire du Match
136 - 2019-01-18775Rocket2Devils3WXSommaire du Match
137 - 2019-01-19789Rocket2Devils4WSommaire du Match
138 - 2019-01-20797Devils3Americans1WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25823Senators1Devils2WSommaire du Match
144 - 2019-01-26835Comets6Devils1LSommaire du Match
150 - 2019-02-01858Devils4Checkers1WSommaire du Match
151 - 2019-02-02869Devils8Checkers0WSommaire du Match
157 - 2019-02-08905Thunderbirds1Devils8WSommaire du Match
158 - 2019-02-09916Americans1Devils2WXXSommaire du Match
159 - 2019-02-10926Devils2Americans4LSommaire du Match
162 - 2019-02-13936Devils3Wolf Pack2WSommaire du Match
165 - 2019-02-16958Devils1Crunch2LSommaire du Match
171 - 2019-02-22987Devils2Thunderbirds1WXXSommaire du Match
172 - 2019-02-231000Devils2Bruins1WXSommaire du Match
176 - 2019-02-271022Devils3Rocket1WSommaire du Match
178 - 2019-03-011031Thunderbirds1Devils2WSommaire du Match
179 - 2019-03-021048Americans4Devils3LXSommaire du Match
185 - 2019-03-081076Devils3Penguins2WSommaire du Match
186 - 2019-03-091093Marlies0Devils7WSommaire du Match
187 - 2019-03-101098Devils2Wolf Pack1WSommaire du Match
192 - 2019-03-151121Devils1Americans0WSommaire du Match
193 - 2019-03-161136Rocket2Devils0LSommaire du Match
194 - 2019-03-171144Devils2Penguins1WXXSommaire du Match



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

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

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
5,437,047$ 138,000$ 65,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 162,042$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 27,902$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
137647160416224911413538211003121119615838266010411305377117249431680013996872162028701641666411543431115314344457617.08%4735388.79%11478236262.57%1297211761.27%644101863.26%212915311573526907489
Total Saison Régulière7647160416224911413538211003121119615838266010411305377117249431680013996872162028701641666411543431115314344457617.08%4735388.79%11478236262.57%1297211761.27%644101863.26%212915311573526907489
Séries
121510500000342410862000001912774300000151232034639703126124368941161332527984281351121108.26%1221190.98%326854049.63%23148247.93%8320839.90%406276375128203101
121510500000342410862000001912774300000151232034639703126124368941161332527984281351121108.26%1221190.98%326854049.63%23148247.93%8320839.90%406276375128203101
Total Séries30201000000684820161240000038241414860000030246406812619406241224873618823226650558168562702242208.26%2442290.98%6536108049.63%46296447.93%16641639.90%813552751257406202