Connexion

Dogbones
GP: 9 | W: 4 | L: 5
GF: 31 | GA: 31 | PP%: 33.33% | PK%: 77.78%
DG: Nico Crisafi | Morale : 99 | Moyenne d’équipe : 75
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Centre de jeu
Kraken
9-6-0, 18pts
5
FINAL
2 Dogbones
4-5-0, 8pts
Team Stats
L1SéquenceL4
6-2-0Fiche domicile1-3-0
3-4-0Fiche visiteur3-2-0
6-2-2Derniers 10 matchs4-5-0
3.20Buts par match 3.44
2.80Buts contre par match 3.44
22.22%Pourcentage en avantage numérique33.33%
71.15%Pourcentage en désavantage numérique77.78%
Kraken
9-6-0, 18pts
5
FINAL
3 Dogbones
4-5-0, 8pts
Team Stats
L1SéquenceL4
6-2-0Fiche domicile1-3-0
3-4-0Fiche visiteur3-2-0
6-2-2Derniers 10 matchs4-5-0
3.20Buts par match 3.44
2.80Buts contre par match 3.44
22.22%Pourcentage en avantage numérique33.33%
71.15%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Buts
William Nylander
6
Passes
Brayden Point
8
Points
William Nylander
12
Plus/Moins
Boone Jenner
2
Victoires
Alexandar Georgiev
4
Pourcentage d’arrêts
Alexandar Georgiev
0.9

Statistiques d’équipe
Buts pour
31
3.44 GFG
Tirs pour
274
30.44 Avg
Pourcentage en avantage numérique
33.3%
8 GF
Début de zone offensive
35.6%
Buts contre
31
3.44 GAA
Tirs contre
306
34.00 Avg
Pourcentage en désavantage numérique
77.8%%
6 GA
Début de la zone défensive
40.3%
Informations de l'équipe

Directeur généralNico Crisafi
EntraîneurGérard Gallant
DivisionBourque
ConférenceConférence Gretzky
CapitaineBoone Jenner
Assistant #1Jacob Trouba
Assistant #2Jack Eichel


Informations de l’aréna

NomArena de Parent
Capacité17,230
Assistance17,132
Billets de saison6,892


Informations de la formation

Équipe Pro23
Équipe Mineure4
Limite contact 27 / 55
Espoirs11


Plafond salarial Non Activé

Cap Salarial de la Saison estimé0$
Plafond salarial disponible85,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour7,498,233$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel-1,095,593$
Compte bancaire projeté-1,095,593$


Historique d'équipe

Saison actuelle4-5
Historique174-120-31 (0.535%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)13-20
Coupe Stanley0


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
1Brayden PointXX100.006959989077859590798594748181880528102889,500,000$
2Jack Eichel (A)X100.0076629894848477867186858475798906980027410,000,000$
3William NylanderXXX100.005654929178849488548689787680870747902827,500,000$
4Boone Jenner (C)XX100.009068848486867980907584746282900667703143,750,000$
5Vladimir TarasenkoX100.007965979086827881508379705585880517603217,500,000$
6Nicolas RoyXX100.008359928283827375747277866676790647402753,000,000$
7Kasperi KapanenX100.008661949083797377507678725576780737302823,200,000$
8Eric StaalX100.00687192798380807372707583539987070730391750,000$
9Nick PaulXX100.008466918189829073846976855675790747302973,150,000$
10Kirill Marchenko (R)X100.007160948377826773666383717268720787102421,562,500$
11Jack Quinn (R)X100.007155958475798376507774717668720797102231,775,000$
12Derek RyanXXX100.007357928875778768706472845379780747003711,491,000$
13Brent BurnsX100.007071888593899782508579838198930748103938,000,000$
14Mike MathesonX100.008061859183905780508575795677840517803042,500,000$
15Jacob Trouba (A)X100.009372849185879672507469855084880757803048,000,000$
16Alec MartinezX100.007263928583858966506764955090870427603721,500,000$
17Connor CliftonX100.009360848583838969507166795074750757402911,000,000$
18John MooreX100.008365888683834063506264845080780447103311,100,000$
Rayé
1Michael McCarronX100.00927284759476406473636480507071078670291750,000$
2Marco ScandellaX100.008469938286834063506263815085810587103421,250,000$
Équipe Mineure
1Brendan GaunceX100.00756491768676406371656072507072057660302762,500$
2Justin Barron (R)X100.008258898681824472507569635068700597002221,158,333$
3Jacob LarssonX100.007857828476774060506060635070710466402711,200,000$
MOYENNE D’ÉQUIPE100.0079649186838376756274768061808206675
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
1Alexandar Georgiev (R)100.00849191818384818480848373790788102833,400,000$
2Filip Gustavsson (R)100.0082807983848277797983766975077770261787,500$
3Alex Lyon100.0078686885797675727573716871079720311660,000$
Rayé
Équipe Mineure
1Collin Delia100.0076706788767775757277756770064720301750,000$
MOYENNE D’ÉQUIPE100.008180798382817878788077707507877
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gérard Gallant80898795847599USA602750,000$


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
1William NylanderDogbonesC/LW/RW96612-260121642132014.29%217219.16123718000040057.14%1472001.3900000101
2Brayden PointDogbonesC/RW93811-12017313510238.57%522925.470223170000241052.26%28763000.9600000011
3Jack EichelDogbonesC9459-200121130121713.33%716418.26123315000011047.79%11343001.1000000200
4Brent BurnsDogbonesD9178160141119895.26%1624827.58134220000122000%087000.6400000001
5Vladimir TarasenkoDogbonesRW9437-10016827112014.81%016017.87213415000001046.15%13154100.8700000010
6Nick PaulDogbonesC/LW9246-120241793322.22%617018.94123214000090050.00%413000.7000000100
7Boone JennerDogbonesC/LW913421151481911125.26%414115.73000000001220053.66%4172000.5700001000
8Eric StaalDogbonesC940402051693344.44%211612.9600001000001154.55%4431000.6900000011
9Mike MathesonDogbonesD5044-340667260%49318.690110900005000%005000.8600000000
10Kirill MarchenkoDogbonesRW9314-24097143921.43%516218.10101418000000033.33%900000.4900000000
11Connor CliftonDogbonesD91230100167101010.00%514516.21101414000015000%002000.4100000000
12Jacob TroubaDogbonesD90331215111417560%1123225.81011014000021000%008000.2600001010
13John MooreDogbonesD90220209105570%615016.7401101100007000%0111000.2700000000
14Kasperi KapanenDogbonesRW911210066176125.88%29610.7700000000190050.00%814000.4100000000
15Derek RyanDogbonesC/LW/RW9011000671000%3748.30000110000100033.33%301000.2700000000
16Alec MartinezDogbonesD9101-34087102110.00%516518.3500000000016000%017000.1200000000
17Nicolas RoyDogbonesC/RW4011000652110%05413.6200001000050066.67%302000.3700000000
18Marco ScandellaDogbonesD4000100130000%14511.460000000000000%00200000000000
19Jack QuinnDogbonesRW9000-100501130%0283.220000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne157315182-1074101971902749715211.31%84265516.91815233017400031754151.21%5395467100.6200002444
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
1Alexandar GeorgievDogbones94500.9003.514960029291141000090001
2Filip GustavssonDogbones10000.8672.9341002151000009000
Statistiques d’équipe totales ou en moyenne104500.8993.46538003130614200099001


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
Alec MartinezDogbonesD371987-07-26 09:26:19No206 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,500,000$214,286$1,500,000$214,286$No1,500,000$--------No--------Lien
Alex LyonDogbonesG311992-12-09 08:23:51No196 Lbs6 ft1NoNoFree AgentNoNo12024-04-06Pro & Farm660,000$94,286$660,000$94,286$No------------------
Alexandar GeorgievDogbonesG281996-02-10 15:26:20Yes178 Lbs6 ft1NoNoTrade2024-06-25NoNo32024-03-15Pro Only3,400,000$485,714$3,400,000$485,714$No3,400,000$3,400,000$-------NoNo-------
Boone JennerDogbonesC/LW311993-06-15 21:26:19No208 Lbs6 ft2NoNoFree AgentNoNo42024-03-15Pro Only3,750,000$535,714$3,750,000$535,714$No3,750,000$3,750,000$3,750,000$------NoNoNo------Lien
Brayden PointDogbonesC/RW281996-03-13 15:26:19No166 Lbs5 ft10NoNoTrade2024-06-10NoNo82024-03-03Pro Only9,500,000$1,357,143$9,500,000$1,357,143$No9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$--NoNoNoNoNoNoNo--Lien
Brent BurnsDogbonesD391985-03-09 21:26:19No230 Lbs6 ft5NoNoN/ANoNo3Pro Only8,000,000$1,142,857$8,000,000$1,142,857$No8,000,000$8,000,000$-------NoNo-------Lien
Connor CliftonDogbonesD291995-04-28 15:13:23No175 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,000,000$142,857$1,000,000$142,857$No------------------Lien
Derek RyanDogbonesC/LW/RW371986-12-29 07:35:23No170 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,491,000$213,000$1,491,000$213,000$No------------------Lien
Eric StaalDogbonesC391984-10-29 15:26:19No209 Lbs6 ft4NoNoFree AgentNoNo12024-03-15Pro & Farm750,000$107,143$750,000$107,143$No------------------Lien
Filip GustavssonDogbonesG261998-06-07 10:50:37Yes184 Lbs6 ft2NoNoTrade2024-06-10NoNo1Pro & Farm787,500$112,500$787,500$112,500$No------------------
Jack EichelDogbonesC271996-10-28 15:26:19No206 Lbs6 ft2NoNoN/ANoNo4Pro & Farm10,000,000$1,428,571$10,000,000$1,428,571$No10,000,000$10,000,000$10,000,000$------NoNoNo------Lien
Jack QuinnDogbonesRW222001-09-19 04:25:32Yes185 Lbs6 ft1NoNoTrade2024-06-23NoNo3Pro & Farm1,775,000$253,571$1,775,000$253,571$No1,775,000$1,775,000$-------NoNo-------
Jacob TroubaDogbonesD301994-02-26 03:26:19No202 Lbs6 ft3NoNoN/ANoNo4Pro Only8,000,000$1,142,857$8,000,000$1,142,857$No8,000,000$8,000,000$8,000,000$------NoNoNo------Lien
John MooreDogbonesD331990-11-19 03:26:19No202 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,100,000$157,143$1,100,000$157,143$No------------------Lien
Kasperi KapanenDogbonesRW281996-07-23 18:59:09No192 Lbs6 ft1NoNoTrade2024-06-11NoNo22024-03-03Pro Only3,200,000$457,143$3,200,000$457,143$No3,200,000$--------No--------Lien
Kirill MarchenkoDogbonesRW242000-07-21 04:39:07Yes195 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,562,500$223,214$1,562,500$223,214$No1,562,500$--------No--------
Marco ScandellaDogbonesD341990-02-23 03:26:19No208 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,250,000$178,571$1,250,000$178,571$No1,250,000$--------No--------Lien
Michael McCarronDogbonesRW291995-03-07 12:04:10No232 Lbs6 ft6NoNoN/ANoNo1Pro & Farm750,000$107,143$750,000$107,143$No------------------
Mike MathesonDogbonesD301994-02-27 03:26:19No192 Lbs6 ft2NoNoN/ANoNo4Pro & Farm2,500,000$357,143$2,500,000$357,143$No2,500,000$2,500,000$2,500,000$------NoNoNo------Lien
Nick PaulDogbonesC/LW291995-03-20 15:19:08No219 Lbs6 ft3NoNoFree AgentNoNo72024-03-15Pro Only3,150,000$450,000$3,150,000$450,000$No3,150,000$3,150,000$3,150,000$3,150,000$3,150,000$3,150,000$---NoNoNoNoNoNo---Lien
Nicolas RoyDogbonesC/RW271997-02-05 06:05:39No200 Lbs6 ft4NoNoFree AgentNoNo52024-03-03Pro Only3,000,000$428,571$3,000,000$428,571$No3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----Lien
Vladimir TarasenkoDogbonesRW321991-12-13 09:26:19No219 Lbs6 ft0NoNoN/ANoNo1Pro & Farm7,500,000$1,071,429$7,500,000$1,071,429$No------------------Lien
William NylanderDogbonesC/LW/RW281996-05-01 15:26:19No190 Lbs6 ft0NoNoN/ANoNo2Pro Only7,500,000$1,071,429$7,500,000$1,071,429$No7,500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.35198 Lbs6 ft22.743,570,696$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
82,126,000$68,087,500$53,075,000$39,900,000$15,650,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William NylanderBrayden PointKirill Marchenko40122
2Nick PaulJack EichelVladimir Tarasenko30122
3Boone JennerEric StaalNicolas Roy20122
4Derek RyanBrayden PointKasperi Kapanen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsJacob Trouba40122
2Mike MathesonAlec Martinez30122
3John MooreConnor Clifton20122
4Brent BurnsJacob Trouba10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William NylanderBrayden PointKirill Marchenko60122
2Nick PaulJack EichelVladimir Tarasenko40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsMike Matheson60122
2Jacob TroubaConnor Clifton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Boone JennerBrayden Point60122
2Nick PaulNicolas Roy40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsJacob Trouba60122
2Alec MartinezConnor Clifton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nick Paul60122Alec MartinezJacob Trouba60122
2Boone Jenner40122Connor CliftonJohn Moore40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brayden PointWilliam Nylander60122
2Jack EichelVladimir Tarasenko40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brent BurnsJacob Trouba60122
2Mike MathesonAlec Martinez40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William NylanderJack EichelVladimir TarasenkoBrent BurnsJacob Trouba
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William NylanderJack EichelVladimir TarasenkoBrent BurnsJacob Trouba
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Boone Jenner, Nick Paul, Derek RyanNicolas Roy, Eric StaalNicolas Roy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alec Martinez, Jacob Trouba, Brent BurnsJohn MooreMike Matheson, John Moore
Tirs de pénalité
William Nylander, Brayden Point, Jack Eichel, Boone Jenner, Vladimir Tarasenko
Gardien
#1 : Alexandar Georgiev, #2 : Filip Gustavsson, #3 : Alex Lyon


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
1Blue Jackets54100000221572110000089-133000000146880.800223658002101001565553480165425610814535.71%18477.78%09819251.04%11121751.15%6713051.54%10357107448845
2Kraken40400000916-720200000510-52020000046-200.00091524005310118462745014142188910330.00%9277.78%09819251.04%11121751.15%6713051.54%824688356833
Total9450000031310413000001319-6532000001812680.4443151820071311027410180930306847419724833.33%27677.78%09819251.04%11121751.15%6713051.54%1861041968015679
_Since Last GM Reset9450000031310413000001319-6532000001812680.4443151820071311027410180930306847419724833.33%27677.78%09819251.04%11121751.15%6713051.54%1861041968015679
_Vs Conference9450000031310413000001319-6532000001812680.4443151820071311027410180930306847419724833.33%27677.78%09819251.04%11121751.15%6713051.54%1861041968015679
_Vs Division40400000916-720200000510-52020000046-200.00091524005310118462745014142188910330.00%9277.78%09819251.04%11121751.15%6713051.54%824688356833

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
98L4315182274306847419700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
94500003131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001319
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200001812
Derniers 10 matchs
WLOTWOTL SOWSOL
450000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
24833.33%27677.78%0
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
10180930713110
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
9819251.04%11121751.15%6713051.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1861041968015679


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
11Dogbones4Blue Jackets3AWSommaire du match
39Dogbones4Blue Jackets2AWSommaire du match
517Blue Jackets2Dogbones5BWSommaire du match
725Blue Jackets7Dogbones3BLSommaire du match
933Dogbones6Blue Jackets1AWSommaire du match
1557Dogbones2Kraken3ALSommaire du match
1761Dogbones2Kraken3ALSommaire du match
1965Kraken5Dogbones2BLSommaire du match
2169Kraken5Dogbones3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité41004100400040001030
Prix des billets100735334200
Assistance16,40016,40015,60716,0004,120
Attendance PCT100.00%100.00%97.54%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 17132 - 99.43% 1,874,558$7,498,233$17230100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 82,126,000$ 74,626,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 6 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ -1,095,593$ -1,095,593$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 85,000,000$ 85,000,000$ -60,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
William NylanderAGE:28PO:0OV:79
Boone JennerAGE:31PO:0OV:77
Nick PaulAGE:29PO:0OV:73
Derek RyanAGE:37PO:0OV:70
Brayden PointAGE:28PO:0OV:81
Jack EichelAGE:27PO:0OV:80
William NylanderAGE:28PO:0OV:79
Boone JennerAGE:31PO:0OV:77
Nicolas RoyAGE:27PO:0OV:74
Eric StaalAGE:39PO:0OV:73
Nick PaulAGE:29PO:0OV:73
Derek RyanAGE:37PO:0OV:70
Brendan GaunceAGE:30PO:0OV:66
Brayden PointAGE:28PO:0OV:81
William NylanderAGE:28PO:0OV:79
Vladimir TarasenkoAGE:32PO:0OV:76
Nicolas RoyAGE:27PO:0OV:74
Kasperi KapanenAGE:28PO:0OV:73
Kirill Marchenko (R)AGE:24PO:0OV:71
Jack Quinn (R)AGE:22PO:0OV:71
Derek RyanAGE:37PO:0OV:70
Michael McCarronAGE:29PO:0OV:67

Défense #1Défense #2Gardien
Brent BurnsAGE:39PO:0OV:81
Mike MathesonAGE:30PO:0OV:78
Jacob TroubaAGE:30PO:0OV:78
Alec MartinezAGE:37PO:0OV:76
Connor CliftonAGE:29PO:0OV:74
John MooreAGE:33PO:0OV:71
Marco ScandellaAGE:34PO:0OV:71
Justin Barron (R)AGE:22PO:0OV:70
Jacob LarssonAGE:27PO:0OV:64
Alexandar Georgiev (R)AGE:28PO:0OV:81
Filip Gustavsson (R)AGE:26PO:0OV:77
Collin DeliaAGE:30PO:0OV:72
Alex LyonAGE:31PO:0OV:72

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Alexander NylanderDogbones00
Brandt ClarkeDogbones00
Brendan PerliniDogbones00
Justus AnnunenDogbones00
Mason LohreiDogbones00
Matthew KniesDogbones00
Nicolas MelocheDogbones00
Nolan FooteDogbones202030
Oliver TarnstromDogbones202176
Riley KidneyDogbones00
Robert OrrDogbones00

Choix au repêchage

Année R1R2R3R4R5
2024DBS DBS
2025DBS DBS BUL
2026WHA DBS BRA DBS SEN DBS OLS
2027DBS PEN WOL DBS BJT DBS PEN MRS DBS
2028DBS BRA DBS DBS SEN DBS DBS
Choix au repêchage conditionnel



Oilers

Par Hugo St-Amour (Oilers) Le Wednesday 24th April 2024 / 10:37am

La direction a mis beaucoup d'effort durant la saison morte pour amener une équipe tres competitive,donc ons esperons que la chimie va s'intaller rapidement entre tous ses nouveaux joueurs car le dg ST-amour a pas la reputation d'etre patient .

Nouveau commentaire



Dogbones Historique de transactions

[2024-07-20 22:15:29] - Dogbones was eliminated at round 2 of year 2023.
[2024-07-14 23:20:56] - Warriors was eliminated at round 1 of year 2023.
[2024-06-25 22:23:48] - TRADE : From Sens to Dogbones : Alexandar Georgiev (81), Justus Annunen (P).
[2024-06-25 22:23:48] - TRADE : From Dogbones to Sens : Linus Ullmark (81), Y:2024-RND:4-WLV, Y:2025-RND:4-MRS.
[2024-06-23 15:47:29] - TRADE : From Sens to Dogbones : Jack Quinn (71), Justin Barron (70), Y:2027-RND:1-WOL.
[2024-06-23 15:47:29] - TRADE : From Dogbones to Sens : Devon Toews (81).
[2024-06-11 22:33:02] - TRADE : From Braves to Dogbones : Kasperi Kapanen (73), Robert Orr (P), Riley Kidney (P), Y:2028-RND:2-BRA, Y:2024-RND:4-WLV.
[2024-06-11 22:33:02] - TRADE : From Dogbones to Braves : Patrice Bergeron (80).
[2024-06-10 22:20:03] - TRADE : From Dogbones to Chiefs : David Perron (76), Jared Spurgeon (79), Jonathan Toews (74), Y:2024-RND:2-PEN, Y:2027-RND:3-DBS, Y:2025-RND:5-BJT.
[2024-06-10 22:20:03] - TRADE : From Chiefs to Dogbones : Brayden Point (81), Filip Gustavsson (77).
[2024-04-18 23:53:35] - TRADE : From Dogbones to Oilers : Jake Debrusk (78).
[2024-04-18 23:53:35] - TRADE : From Oilers to Dogbones : Y:2024-RND:2-PEN, Y:2028-RND:3-SEN, Y:2025-RND:5-BJT.
[2024-04-14 14:54:45] - Dogbones hired Gérard Gallant- for $750,000 for 2 year(s).
[2024-04-08 09:44:51] - Martin Frk was released.
[2024-04-08 09:44:51] - Dogbones paid $0 to release Martin Frk.
[2024-04-06 14:27:42] - Alex Lyon was added to Dogbones.
[2024-03-25 21:21:45] - Jonathan Toews was added to Dogbones.
[2024-03-15 11:28:09] - Brendan Gaunce signed with Dogbones for $762,500 for 2 year(s) / Option : No Trade.
[2024-03-15 11:28:09] - Brendan Gaunce was added to Dogbones.
[2024-03-15 11:27:24] - Collin Delia signed with Dogbones for $750,000 for 1 year(s) / Option : No Trade.
[2024-03-15 11:27:24] - Collin Delia was added to Dogbones.
[2024-03-15 11:26:49] - Patrice Bergeron signed with Dogbones for $6,875,000 for 1 year(s) / Option : No Trade.
[2024-03-15 11:26:49] - Patrice Bergeron was added to Dogbones.
[2024-03-15 11:26:10] - Nick Paul signed with Dogbones for $3,150,000 for 7 year(s) / Option : No Trade.
[2024-03-15 11:26:10] - Nick Paul was added to Dogbones.
[2024-03-15 11:25:14] - Eric Staal signed with Dogbones for $750,000 for 1 year(s) / Option : No Trade.
[2024-03-15 11:25:14] - Eric Staal was added to Dogbones.
[2024-03-15 11:24:49] - David Perron signed with Dogbones for $4,750,000 for 2 year(s) / Option : No Trade.
[2024-03-15 11:24:49] - David Perron was added to Dogbones.
[2024-03-15 11:24:18] - Boone Jenner signed with Dogbones for $3,750,000 for 4 year(s) / Option : No Trade.
[2024-03-15 11:24:18] - Boone Jenner was added to Dogbones.



[2024-07-26 23:41:51] Current fund for Dogbones is under $0.
[2024-07-26 21:17:20] Current fund for Dogbones is under $0.
[2024-07-25 22:55:45] Current fund for Dogbones is under $0.
[2024-07-25 22:45:48] Current fund for Dogbones is under $0.
[2024-07-24 22:22:25] Current fund for Dogbones is under $0.
[2024-07-24 21:59:37] Current fund for Dogbones is under $0.
[2024-07-24 20:08:11] Current fund for Dogbones is under $0.
[2024-07-24 11:37:19] Current fund for Dogbones is under $0.
[2024-07-24 02:26:46] Current fund for Dogbones is under $0.
[2024-07-24 02:25:58] Current fund for Dogbones is under $0.
[2024-07-22 21:50:54] Current fund for Dogbones is under $0.
[2024-07-22 20:53:30] Current fund for Dogbones is under $0.
[2024-07-21 23:36:01] Current fund for Dogbones is under $0.
[2024-07-21 22:53:29] Current fund for Dogbones is under $0.
[2024-07-20 22:58:01] Current fund for Dogbones is under $0.
[2024-07-20 22:15:51] Current fund for Dogbones is under $0.
[2024-07-19 22:47:32] Current fund for Dogbones is under $0.
[2024-07-19 22:35:47] Current fund for Dogbones is under $0.
[2024-07-18 08:05:35] Current fund for Dogbones is under $0.
[2024-07-17 23:24:07] Current fund for Dogbones is under $0.
[2024-07-17 23:11:29] Current fund for Dogbones is under $0.
[2024-07-17 10:06:23] Current fund for Dogbones is under $0.
[2024-07-17 00:33:22] Current fund for Dogbones is under $0.
[2024-07-17 00:33:04] Nicolas Roy from Dogbones is back from Left Hip Injury.
[2024-07-17 00:24:02] Current fund for Dogbones is under $0.
[2024-07-16 08:47:16] Current fund for Dogbones is under $0.
[2024-07-15 22:32:05] Current fund for Dogbones is under $0.
[2024-07-15 10:20:41] Current fund for Dogbones is under $0.
[2024-07-14 23:21:24] Current fund for Dogbones is under $0.
[2024-07-14 23:20:56] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2024-07-14 23:20:55] Game 44 - Unknown Player from Warriors is injured (Lower Body) and is out for 2 weeks.
[2024-07-14 06:45:41] Current fund for Dogbones is under $0.
[2024-07-13 22:54:33] Current fund for Dogbones is under $0.
[2024-07-13 22:54:22] Warriors lines for next game are empty. Current rosters/lines are not erased. But, Dogbones lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-07-13 08:39:14] Current fund for Dogbones is under $0.
[2024-07-12 23:24:14] Current fund for Dogbones is under $0.
[2024-07-12 23:23:44] Warriors lines for next game are empty. Current rosters/lines are not erased. But, Dogbones lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2024-07-12 11:33:29] Current fund for Dogbones is under $0.
[2024-07-12 03:48:27] Current fund for Dogbones is under $0.



Pas de blessure ou de suspension.


Dogbones 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
1Andrei Svechnikov1666887155223834117866910.16%94342720.6516244084101711443.33%00.9048
2Sean Monahan141425294-128221819833612.50%54236216.761215273200005349.62%00.8026
3David Pastrnak81405393-18701391094089.80%43168720.831414285800018640.31%11.1037
4Aleksander Barkov6824527672411315220711.59%36148421.83615212101173456.04%01.0235
5Jake Guentzel834134759761569333712.17%43180021.69148224800027638.76%30.8309

Dogbones 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
1Jaroslav Halak52321280.9212.493157201311657824600.75645
2Jordan Binnington58282340.9162.703377801521814931210.73126
3Alex Nedeljkovic55202490.8983.113208201661631799100.69449
4Thatcher Demko42181940.9102.842497011181316658420.80826
5Elvis Merzlikins33141360.9212.50194222811020535000.46213

Dogbones 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
Saison régulière
202082313701562218242-2441162000221102121-1941151701341116121-5832183515691156748112255480189284842266791684118092885318.40%2576076.65%4976190251.31%922189448.68%571110551.67%1746101117937411426704
2021823730011582382251341161600144111114-34121140101412711116952383956332062967412268583498685854273790671817672443715.16%2584981.01%5890183948.40%941186950.35%584117449.74%1742100918127421430709
202282254102284230240-104116190102312912364192201261101117-16762303806103169807115269592088387557266186063717452575119.84%2495279.12%3907189747.81%906182149.75%604115752.20%1768102417557421458724
202382313704226240248-841161803022131125641151901204109123-1482240400640216291819266584593786541259387774718742184721.56%2655579.25%3942187350.29%918183350.08%640119253.69%1770102017377461461725
Total Saison régulière32813812007102924972930421647259017111448645828164666106318104864721438297215942566154296329311641071735913643342725110461347727236950101819719.35%102217982.49%144028746953.93%3897741152.58%2426462952.41%722742426950295457752893
Séries éliminatoires
2021181170000060519106400000302828530000030237226010316301172317365722423318416617216145375601830.00%52884.62%219941747.72%23745252.43%14326853.36%414255387156301151
Total Séries éliminatoires331320000009299-71789000005051-116511000004248-6269215624810273528210313453393123511583562977121001717.00%951881.05%037672851.65%38679748.43%21845647.81%722417732303587295

Dogbones 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
1Brayden Schenn1810102051224266714.93%932418.04202611232046.41%01.2300
2Aleksander Barkov1871320-1113050887.95%441923.3265111500011054.47%10.9500
3Jake Guentzel1810818-32035197513.33%1038921.6246101800002136.36%00.9200
4Alexander Ovechkin1851217-243623687.35%1037720.983691000003055.17%00.9000
5Calle Jarnkrok1877143025184316.28%531717.64022411210150.00%00.8800

Dogbones 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
1Jaroslav Halak1710610.9182.76104401485842751000
2Jonathan Bernier11000.9093.006000333180000