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Devils
GP: 6 | W: 2 | L: 4
GF: 17 | GA: 20 | PP%: 16.00% | PK%: 82.61%
DG: Frédéric Ferland Bolduc | Morale : 8 | Moyenne d’équipe : 68
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Centre de jeu
Devils
2-4-0, 4pts
2
FINAL
4 Capitals
9-6-0, 18pts
Team Stats
L2SéquenceL2
2-1-0Fiche domicile6-2-0
0-3-0Fiche domicile3-4-0
2-4-0Derniers 10 matchs6-3-1
2.83Buts par match 3.33
3.33Buts contre par match 3.07
16.00%Pourcentage en avantage numérique22.22%
82.61%Pourcentage en désavantage numérique80.60%
Capitals
9-6-0, 18pts
7
FINAL
2 Devils
2-4-0, 4pts
Team Stats
L2SéquenceL2
6-2-0Fiche domicile2-1-0
3-4-0Fiche domicile0-3-0
6-3-1Derniers 10 matchs2-4-0
3.33Buts par match 2.83
3.07Buts contre par match 3.33
22.22%Pourcentage en avantage numérique16.00%
80.60%Pourcentage en désavantage numérique82.61%
Meneurs d'équipe
Buts
Nicklas Jensen
3
Passes
Ty Dellandrea
5
Points
Nicklas Jensen
7
Plus/Moins
Colton White
1
Victoires
Jon Gillies
1
Pourcentage d’arrêts
Jon Gillies
0.906

Statistiques d’équipe
Buts pour
17
2.83 GFG
Tirs pour
188
31.33 Avg
Pourcentage en avantage numérique
16.0%
4 GF
Début de zone offensive
39.5%
Buts contre
20
3.33 GAA
Tirs contre
197
32.83 Avg
Pourcentage en désavantage numérique
82.6%%
4 GA
Début de la zone défensive
35.3%
Informations de l'équipe

Directeur généralFrédéric Ferland Bolduc
EntraîneurBruce Boudreau
DivisionMétropolitaine
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison2,400


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 60
Espoirs39


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 SPÂgeContratSalaire
1Nicklas Jensen (R)X100.00529963794271993495948563919745627603133,000,000$
2Miles Wood (R)X100.0079636475798388835089857970797551697602823,000,000$
3Jason Dickinson (R)X100.0080507875818688808079689125768169527502822,000,000$
4Andrew Mangiapane (R)X100.0075507386738786865080827425847664687502821,250,000$
5Conor Garland (R)X100.0077418476757387773284877575808168627402822,000,000$
6Ty Dellandrea (R)X100.007861708683858079767769792579615268730231863,333$
7Ryan Lomberg (R)X100.0083686379738286795568727125787664587002921,250,000$
8Fabian Zetterlund (R)X100.007245897588847677507565662574594967690242750,000$
9Jaret Anderson-Dolan (R)X100.007240887683818071556466652572715963670242575,000$
10Adam Ruzicka (R)X100.006840877389827573727365662572615266670251801,666$
11Ryan MacInnis (R)X100.006737997276717355706763682578755553640283575,000$
12Patrick Russell (R)X100.006018996375617664576563656680733058630313575,000$
13Troy Stecher (R)X100.0067328868718188803086709155827535487403012,000,000$
14Erik Brannstrom (R)X100.007150738578858577407565792575715934730242800,000$
15Bowen Byram (R)X100.007260658782917576407274742580615258720231894,167$
16Mike Reilly (R)X100.0075468568757780762579747425867957647103031,250,000$
17Kaiden Guhle (R)X100.007355727687887073407365732573544950702223863,333$
18Colton White (R)X100.006440877578838069406560692569715954680271750,000$
Rayé
1Damien BrunnerX100.002199677164846671575370729999119620383575,000$
2Jonny Brodzinski (R)X100.006245666766696966436461632565656120610313575,000$
3Connor McMichael (R)X100.006040747063616265596259602565505020590231863,333$
4Tyce Thompson (R)X100.005450686661636362426153522560515019562243762,500$
5Jacob Perreault (R)X100.006564766673576655684141614647475520530222863,333$
6Carl Dahlstrom (R)X100.008382925983536867307055854665655120670291600,000$
7Nikita Tryamkin (R)X100.009978415986667761255549795573736719670291600,000$
8Roland McKeown (R)X100.006140667063666764406056682563555019610282575,000$
9David Jiricek (R)X100.006040677065565665406556672564505020602203950,000$
10Mac Hollowell (R)X100.005440707055605857405850622559525019572253750,000$
11Mason Geertsen (R)X100.006879426280606350252929584746465120540292750,000$
MOYENNE D’ÉQUIPE100.00664777727672757148696471377367524467
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 SPÂgeContratSalaire
1Jon Gillies (R)100.007775798480979999997551867852728403012,000,000$
Rayé
1Akira Schmid (R)100.00817575897785838787783077585128792243850,833$
2Gilles Senn (R)100.00798078807982848381797574785073780283800,000$
3Oscar Dansk (R)100.00797068787586888786797580846922780301600,000$
MOYENNE D’ÉQUIPE100.0079757583788889898878587975564980
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau9076888697921CAN6823,000,000$


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’équipePOSGP 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
1Nicklas JensenDevils (NJ )LW63470002122272313.64%312420.790113231012181041.30%4645001.1200000010
2Ty DellandreaDevils (NJ )C605517513169380%210016.75022018000000056.70%9740001.0000001000
3Conor GarlandDevils (NJ )RW6134-1141011812578.33%111218.67101523000060112.50%831000.7100011001
4Troy StecherDevils (NJ )D613412071593511.11%715225.49112227011021000%016000.5200000001
5Jason DickinsonDevils (NJ )C6314-1401712142821.43%010918.28011524000131054.27%16406100.7300000100
6Andrew MangiapaneDevils (NJ )RW6314040982181214.29%010918.322134180001600100.00%482000.7300000010
7Jaret Anderson-DolanDevils (NJ )LW6123-1008416516.25%16210.3700000011190050.00%400000.9600000000
8Erik BrannstromDevils (NJ )D603314071312230%1015125.24011327000219000%023000.4000000000
9Colton WhiteDevils (NJ )D62131004540150.00%48714.660000000005000%003000.6800000000
10Miles WoodDevils (NJ )LW6022031512614490%010918.280111160000150050.00%613000.3600100000
11Adam RuzickaDevils (NJ )C6112-15591051320.00%06510.8600000000000054.35%4622000.6100001000
12Kaiden GuhleDevils (NJ )D60221405112440%18313.860000000000000%001000.4800000000
13Ryan LombergDevils (NJ )LW6101-280105147107.14%07913.2000002000020066.67%631000.2500000000
14Patrick RussellDevils (NJ )RW6101-2000470014.29%2477.950000000000000%001000.4200000000
15Bowen ByramDevils (NJ )D6011-51359157210%312120.3200001400009000%024000.1600100000
16Fabian ZetterlundDevils (NJ )RW6011-1004212240%07011.7400000000000033.33%310000.2800000000
17Mike ReillyDevils (NJ )D6000-5008127020%1112420.68000014000012000%02400000000000
18Ryan MacInnisDevils (NJ )C6000-200071040%2488.0000000000010068.75%161100000000000
Statistiques d’équipe totales ou en moyenne108173047-169630135165188551059.04%47176016.3048122321112371322153.50%4003443100.5300213122
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
1Jon GilliesDevils (NJ )31200.9062.671800088534000033000
2Akira SchmidDevils (NJ )31200.8934.00180001211250000033100
Statistiques d’équipe totales ou en moyenne62400.8983.3336000201978400066100


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam RuzickaDevils (NJ )C251999-05-11 15:21:22Yes215 Lbs6 ft4NoNoN/ANoNo1Pro & Farm801,666$0$0$No------------------
Akira SchmidDevils (NJ )G242000-05-12 03:52:27Yes205 Lbs6 ft5NoNoTrade2024-03-02NoNo3Pro & Farm850,833$0$0$No850,833$850,833$-------NoNo-------
Andrew MangiapaneDevils (NJ )RW281996-04-04 05:08:41Yes184 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------
Bowen ByramDevils (NJ )D232001-06-13 15:17:43Yes190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm894,167$0$0$No------------------
Carl DahlstromDevils (NJ )D291995-01-28 02:56:39Yes231 Lbs6 ft4NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Colton WhiteDevils (NJ )D271997-05-03 13:49:20Yes187 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Connor McMichaelDevils (NJ )C232001-01-15 15:14:19Yes183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------
Conor GarlandDevils (NJ )RW281996-03-11 06:23:52Yes165 Lbs5 ft10NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Damien BrunnerDevils (NJ )LW381986-03-09 17:11:13No189 Lbs5 ft11NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
David JiricekDevils (NJ )D202003-11-28 13:58:07Yes190 Lbs6 ft3NoNoN/ANoNo3Pro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------
Erik BrannstromDevils (NJ )D241999-09-02 12:58:46Yes185 Lbs5 ft10NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------
Fabian ZetterlundDevils (NJ )RW241999-08-25 04:12:26Yes220 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Gilles SennDevils (NJ )G281996-03-01 10:23:24Yes203 Lbs6 ft5NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Jacob PerreaultDevils (NJ )C222002-04-15 04:15:52Yes192 Lbs5 ft11NoNoN/ANoNo2Pro & Farm863,333$0$0$No863,333$--------No--------
Jaret Anderson-DolanDevils (NJ )LW241999-09-12 12:53:50Yes200 Lbs5 ft11NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Jason DickinsonDevils (NJ )C281995-07-04 23:11:13Yes200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm2,000,000$0$0$No2,000,000$--------No--------
Jon GilliesDevils (NJ )G301994-01-22 08:38:57Yes223 Lbs6 ft6NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------
Jonny BrodzinskiDevils (NJ )RW311993-06-19 05:29:25Yes212 Lbs6 ft1NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Kaiden GuhleDevils (NJ )D222002-01-18 14:00:23Yes205 Lbs6 ft2NoNoN/ANoNo3Pro & Farm863,333$0$0$No863,333$863,333$-------NoNo-------
Mac HollowellDevils (NJ )D251998-09-26 14:02:29Yes170 Lbs5 ft9NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Mason GeertsenDevils (NJ )D291995-04-19 05:34:50Yes216 Lbs6 ft4NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Mike ReillyDevils (NJ )D301993-07-13 11:11:13Yes198 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$-------NoNo-------
Miles WoodDevils (NJ )LW281995-09-13 08:41:29Yes195 Lbs6 ft2NoNoN/ANoNo2Pro & Farm3,000,000$0$0$No3,000,000$--------No--------
Nicklas JensenDevils (NJ )LW311993-03-06 11:11:13Yes214 Lbs6 ft4NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Nikita TryamkinDevils (NJ )D291994-08-30 17:11:13Yes243 Lbs6 ft8NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Oscar DanskDevils (NJ )G301994-02-28 02:59:29Yes195 Lbs6 ft3NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------
Patrick RussellDevils (NJ )RW311993-01-04 14:09:28Yes203 Lbs6 ft1NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Roland McKeownDevils (NJ )D281996-01-20 13:31:02Yes194 Lbs6 ft1NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Ryan LombergDevils (NJ )LW291994-12-09 04:28:15Yes187 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------
Ryan MacInnisDevils (NJ )C281996-02-14 13:37:44Yes185 Lbs6 ft3NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Troy StecherDevils (NJ )D301994-04-07 14:02:55Yes186 Lbs5 ft10NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------
Ty DellandreaDevils (NJ )C232000-07-21 15:10:44Yes195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------
Tyce ThompsonDevils (NJ )RW241999-07-12 03:33:54Yes174 Lbs6 ft1NoNoN/ANoNo3Pro & Farm762,500$0$0$No762,500$762,500$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3327.06198 Lbs6 ft12.061,070,076$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicklas JensenJason DickinsonConor Garland35122
2Miles WoodTy DellandreaAndrew Mangiapane35122
3Ryan LombergAdam RuzickaFabian Zetterlund25122
4Jaret Anderson-DolanRyan MacInnisPatrick Russell5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Troy StecherErik Brannstrom35122
2Bowen ByramMike Reilly35122
3Kaiden GuhleColton White30122
4Troy StecherErik Brannstrom0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicklas JensenJason DickinsonConor Garland60122
2Miles WoodTy DellandreaAndrew Mangiapane40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Troy StecherErik Brannstrom60122
2Bowen ByramMike Reilly40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nicklas JensenMiles Wood60122
2Conor GarlandAndrew Mangiapane40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Troy StecherErik Brannstrom60122
2Bowen ByramMike Reilly40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nicklas Jensen60122Troy StecherErik Brannstrom60122
2Miles Wood40122Bowen ByramMike Reilly40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nicklas JensenMiles Wood60122
2Conor GarlandAndrew Mangiapane40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Troy StecherErik Brannstrom60122
2Bowen ByramMike Reilly40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicklas JensenJason DickinsonConor GarlandTroy StecherErik Brannstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicklas JensenJason DickinsonConor GarlandTroy StecherErik Brannstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Lomberg, Fabian Zetterlund, Jaret Anderson-DolanRyan Lomberg, Fabian ZetterlundJaret Anderson-Dolan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kaiden Guhle, Colton White, Bowen ByramKaiden GuhleColton White, Bowen Byram
Tirs de pénalité
Nicklas Jensen, Miles Wood, Conor Garland, Andrew Mangiapane, Jason Dickinson
Gardien
#1 : , #2 : Jon Gillies
Lignes d’attaque personnalisées en prolongation
Nicklas Jensen, Miles Wood, Conor Garland, Andrew Mangiapane, Jason Dickinson, Ty Dellandrea, Ty Dellandrea, Ryan Lomberg, Fabian Zetterlund, Jaret Anderson-Dolan, Adam Ruzicka
Lignes de défense personnalisées en prolongation
Troy Stecher, Erik Brannstrom, Bowen Byram, Mike Reilly, Kaiden Guhle


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
TotalDomicileVisiteur
# 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
1Capitals624000001720-3321000001210230300000510-540.3331730470038601886269570197479613525416.00%23482.61%19515860.13%7214151.06%4710146.53%131771255210253
Total624000001720-3321000001210230300000510-540.3331730470038601886269570197479613525416.00%23482.61%19515860.13%7214151.06%4710146.53%131771255210253
_Since Last GM Reset624000001720-3321000001210230300000510-540.3331730470038601886269570197479613525416.00%23482.61%19515860.13%7214151.06%4710146.53%131771255210253
_Vs Conference624000001720-3321000001210230300000510-540.3331730470038601886269570197479613525416.00%23482.61%19515860.13%7214151.06%4710146.53%131771255210253
_Vs Division624000001720-3321000001210230300000510-540.3331730470038601886269570197479613525416.00%23482.61%19515860.13%7214151.06%4710146.53%131771255210253

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L2173047188197479613500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001720
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001210
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000510
Derniers 10 matchs
WLOTWOTL SOWSOL
240000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
25416.00%23482.61%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
62695703860
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
9515860.13%7214151.06%4710146.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
131771255210253


Derniers matchs 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
14Devils1Capitals3ALR5Sommaire du match
312Devils2Capitals3ALSommaire du match
520Capitals2Devils4BWR5Sommaire du match
728Capitals1Devils6BWSommaire du match
936Devils2Capitals4ALR5Sommaire du match
1144Capitals7Devils2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 3000 - 100.00% 128,250$384,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,531,249$ 1,476,249$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Devils Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Devils Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Devils Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Devils Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Devils Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA