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Hartford
GP: 36 | W: 19 | L: 14 | OTL: 3 | P: 41
GF: 121 | GA: 125 | PP%: 23.03% | PK%: 76.76%
DG: Steve Bergeron | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #445 vs Manitoba

Centre de jeu
Bridgeport
19-14-4, 42pts
6
FINAL
4 Hartford
19-14-3, 41pts
Team Stats
L1SéquenceW1
7-8-2Fiche domicile9-7-1
12-6-2Fiche domicile10-7-2
3-7-0Derniers 10 matchs2-7-1
3.41Buts par match 3.36
3.38Buts contre par match 3.47
21.99%Pourcentage en avantage numérique23.03%
82.84%Pourcentage en désavantage numérique76.76%
Hartford
19-14-3, 41pts
5
FINAL
3 Wilkes-Barre/Scranton
19-14-2, 40pts
Team Stats
W1SéquenceL1
9-7-1Fiche domicile10-7-1
10-7-2Fiche domicile9-7-1
2-7-1Derniers 10 matchs6-4-0
3.36Buts par match 3.46
3.47Buts contre par match 3.37
23.03%Pourcentage en avantage numérique20.00%
76.76%Pourcentage en désavantage numérique79.83%
Manitoba
21-12-3, 45pts
Jour 85
Hartford
19-14-3, 41pts
Statistiques d’équipe
OTL1SéquenceW1
11-5-2Fiche domicile9-7-1
10-7-1Fiche visiteur10-7-2
6-3-110 derniers matchs2-7-1
3.36Buts par match 3.36
3.06Buts contre par match 3.36
19.46%Pourcentage en avantage numérique23.03%
81.25%Pourcentage en désavantage numérique76.76%
Hartford
19-14-3, 41pts
Jour 88
Syracuse
12-16-5, 29pts
Statistiques d’équipe
W1SéquenceL2
9-7-1Fiche domicile5-11-2
10-7-2Fiche visiteur7-5-3
2-7-110 derniers matchs5-3-2
3.36Buts par match 2.55
3.47Buts contre par match 2.55
23.03%Pourcentage en avantage numérique16.33%
76.76%Pourcentage en désavantage numérique83.65%
Abbotsford
8-23-3, 19pts
Jour 89
Hartford
19-14-3, 41pts
Statistiques d’équipe
L2SéquenceW1
4-13-1Fiche domicile9-7-1
4-10-2Fiche visiteur10-7-2
1-9-010 derniers matchs2-7-1
2.59Buts par match 3.36
4.35Buts contre par match 3.36
16.45%Pourcentage en avantage numérique23.03%
80.00%Pourcentage en désavantage numérique76.76%
Meneurs d'équipe
Buts
Tyson Foerster
19
Passes
Tyson Foerster
29
Points
Tyson Foerster
48
Plus/Moins
Tyson Foerster
8
Victoires
Samuel Montembeault
12
Pourcentage d’arrêts
Samuel Montembeault
0.902

Statistiques d’équipe
Buts pour
121
3.36 GFG
Tirs pour
1275
35.42 Avg
Pourcentage en avantage numérique
23.0%
35 GF
Début de zone offensive
41.3%
Buts contre
125
3.47 GAA
Tirs contre
1238
34.39 Avg
Pourcentage en désavantage numérique
76.8%%
33 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralSteve Bergeron
EntraîneurKirk Muller
DivisionAtlantique
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,243
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 50
Espoirs42


Historique d'équipe

Saison actuelle19-14-3 (41PTS)
Historique50-59-11 (0.417%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
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
1Andrew LaddX100.00793659427648766473626667798479135000381850,000$
2Mark ArcobelloXXX100.00622389657272926986666857847774295000352500,000$
3Travis BoydXX100.00722993718083846880687062776563365000304875,000$
4Nathan WalkerXX100.0073238972767380707068696116356315000304925,000$
5Richard PanikXX100.00623189637671877172706963717267335000333975,000$
6Zack SmithXX100.00714676517965876778656667638090265000362950,000$
7Carl SoderbergXXX100.00593488458160906668656465759082195000382500,000$
8Jannik HansenXX100.00623096407559876673656572769489105000382500,000$
9Stefan NoesenXX100.006128966982758269706369637760504350003111,100,000$
10Noel AcciariXX99.007831876683808971847074738371673250003231,625,000$
11MacKenzie EntwistleXX99.00733193848979867270717263784741545000242975,000$
12Sheldon DriesXXX100.00774690767674996387636961756160385000302500,000$
13Tyson Foerster (R)X99.00793588738381977770748071763838825000223900,000$
14Jakub KindlX99.0056329149756490453404683467162275000361650,000$
15Juuso RiikolaX100.00703180778678825351525080776250465000301650,000$
16Steven KampferX100.00683272567670905450505483637159265000351650,000$
17Joe MorrowX100.00643280738279885250544787705750375000311650,000$
18Martin MarincinX100.00703270669676854750484594717463305000323975,000$
19Michael SauerX100.0059397649786468411404383528778285000361500,000$
Rayé
1Viktor StalbergXX100.00632994547861916752676762757660275000381500,000$
2Brandt Clarke (R)X97.00713588788183996250635487703535865000213900,000$
MOYENNE D’ÉQUIPE99.6768338563807187636161627269686336500
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
1Anders Nilsson100.0060938185768281858578817272465000342650,000$
2Samuel Montembeault97.0066807878728180828076825151565000272875,000$
Rayé
MOYENNE D’ÉQUIPE98.506387808274828184837782626251500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller77798171908983CAN5622,000,000$


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
1Tyson FoersterHartford (NYR)RW36192948814046581846211810.33%771920.002101234116000003141.79%6700011.3300000441
2Noel AcciariHartford (NYR)C/RW3617284582206575134358112.69%672920.27671332116000092151.82%101900101.2311000226
3MacKenzie EntwistleHartford (NYR)C/RW3613193271002543117338011.11%471419.85561130116000004330.36%5600000.9000000122
4Travis BoydHartford (NYR)C/RW3682028-720037639628698.33%162617.403101325116000000149.89%90800000.8900000131
5Brandt ClarkeHartford (NYR)D3362228-414024416722548.96%7182825.09369281050112105000%000100.6800000101
6Nathan WalkerHartford (NYR)LW/RW36101424-8200572612030768.33%261417.08591434116000000053.33%4500010.7800000210
7Steven KampferHartford (NYR)D3661218-236049284393713.95%5971119.7532513115000297100%000000.5100000102
8Juuso RiikolaHartford (NYR)D3641317-138057306015336.67%4771219.7933633117000047010%000000.4800000201
9Sheldon DriesHartford (NYR)C/LW/RW368816-14725595965154012.31%442511.8300000000004053.92%54900000.7500005031
10Mark ArcobelloHartford (NYR)C/LW/RW367815-180191561184611.48%243412.0800002000010239.53%4300000.6901000011
11Martin MarincinHartford (NYR)D3641115-552074293053013.33%6876421.2400016000193100%000000.3900000000
12Richard PanikHartford (NYR)LW/RW365712-98016329022725.56%861217.0226827116000000052.38%4200000.3900000101
13Stefan NoesenHartford (NYR)LW/RW365712-12011237817476.41%143212.0000011000002057.14%3500000.5600000120
14Michael SauerHartford (NYR)D34246-2431523111671012.50%3846313.620000100002100%000000.2600012001
15Jakub KindlHartford (NYR)D36235-212025313314206.06%6875821.0821317113000097000%000000.1300000000
16Joe MorrowHartford (NYR)D5134-1003712318.33%119819.6510149000010010%000000.8100000010
17Carl SoderbergHartford (NYR)C/LW/RW35213-600115239148.70%62777.920000001111110046.41%20900000.2200000000
18Andrew LaddHartford (NYR)LW36112-760348146137.14%52747.620000010111070069.57%2300000.1511000000
19Zack SmithHartford (NYR)C/LW36022-87513392712230%22757.640000000031090049.55%44600000.1500001000
20Jannik HansenHartford (NYR)LW/RW36000200125240%31133.160000000051110060.00%100000000000000
Statistiques d’équipe totales ou en moyenne683120212332-403594563963512753648689.41%4131058815.50356095279117312315904181050.55%345200220.6323018161918
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
1Samuel MontembeaultHartford (NYR)27121020.9023.4015364187889001002511401
2Anders NilssonHartford (NYR)137410.8943.4763920373480001.00021125111
Statistiques d’équipe totales ou en moyenne40191430.9003.42217561124123700123636512


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Anders NilssonHartford (NYR)G341990-03-19SWENo233 Lbs6 ft5NoNoFree AgentNoNo22024-10-11FalseFalsePro & Farm650,000$370,000$0$0$No650,000$--------650,000$--------No--------Lien
Andrew LaddHartford (NYR)LW381985-12-12CANNo213 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,000$483,846$0$0$No---------------------------
Brandt ClarkeHartford (NYR)D212003-02-09CANYes185 Lbs6 ft2NoNoProspectNoNo32025-10-16FalseFalsePro & Farm900,000$512,308$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Carl SoderbergHartford (NYR)C/LW/RW381985-10-12SWENo226 Lbs6 ft3NoNoFree AgentNoNo22024-10-09FalseFalsePro & Farm500,000$284,615$0$0$No500,000$--------500,000$--------No--------Lien
Jakub KindlHartford (NYR)D361987-09-01CZENo224 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$370,000$0$0$No---------------------------Lien
Jannik HansenHartford (NYR)LW/RW381986-01-11DANNo218 Lbs6 ft1NoNoFree AgentNoNo22024-10-09FalseFalsePro & Farm500,000$284,615$0$0$No500,000$--------500,000$--------No--------Lien
Joe MorrowHartford (NYR)D311992-12-09CANNo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$370,000$0$0$No---------------------------Lien
Juuso RiikolaHartford (NYR)D301993-11-09FINNo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$370,000$0$0$No---------------------------Lien
MacKenzie EntwistleHartford (NYR)C/RW241999-07-14CANNo184 Lbs6 ft3NoNoN/ANoNo22025-09-09FalseFalsePro & Farm975,000$555,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Mark ArcobelloHartford (NYR)C/LW/RW351988-08-12USANo179 Lbs5 ft8NoNoFree AgentNoNo22024-10-09FalseFalsePro & Farm500,000$284,615$0$0$No500,000$--------500,000$--------No--------Lien
Martin MarincinHartford (NYR)D321992-02-18SVKNo218 Lbs6 ft5NoNoFree AgentNoNo32025-09-21FalseFalsePro & Farm975,000$555,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
Michael SauerHartford (NYR)D361987-08-07USANo222 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$284,615$0$0$No---------------------------Lien
Nathan WalkerHartford (NYR)LW/RW301994-02-07GRENo186 Lbs5 ft9NoNoN/ANoNo42025-09-09FalseFalsePro & Farm925,000$526,538$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Noel AcciariHartford (NYR)C/RW321991-12-01USANo207 Lbs5 ft10NoNoFree AgentNoNo32025-09-23FalseFalsePro & Farm1,625,000$925,000$0$0$No1,625,000$1,625,000$-------1,625,000$1,625,000$-------NoNo-------Lien / Lien NHL
Richard PanikHartford (NYR)LW/RW331991-02-07SVKNo212 Lbs6 ft1NoNoFree AgentNoNo32025-09-23FalseFalsePro & Farm975,000$555,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
Samuel MontembeaultHartford (NYR)G271996-10-30CANNo195 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm875,000$498,077$0$0$No875,000$--------875,000$--------No--------Lien
Sheldon DriesHartford (NYR)C/LW/RW301994-04-23USANo180 Lbs5 ft9NoNoFree AgentNoNo22024-11-01FalseFalsePro & Farm500,000$284,615$0$0$No500,000$--------500,000$--------No--------
Stefan NoesenHartford (NYR)LW/RW311993-02-12USANo212 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$626,154$0$0$No---------------------------Lien / Lien NHL
Steven KampferHartford (NYR)D351988-09-24USANo200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$370,000$0$0$No---------------------------Lien
Travis BoydHartford (NYR)C/RW301993-09-14USANo190 Lbs6 ft0NoNoN/ANoNo42025-09-09FalseFalsePro & Farm875,000$498,077$0$0$No875,000$875,000$875,000$------875,000$875,000$875,000$------NoNoNo------Lien / Lien NHL
Tyson FoersterHartford (NYR)RW222002-01-18CANYes194 Lbs6 ft2NoNoProspectNoNo32025-10-15FalseFalsePro & Farm900,000$512,308$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Viktor StalbergHartford (NYR)LW/RW381986-01-01SWENo219 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$284,615$0$0$No---------------------------Lien
Zack SmithHartford (NYR)C/LW361988-01-01CANNo221 Lbs6 ft2NoNoFree AgentNoNo22024-10-09FalseFalsePro & Farm950,000$540,769$0$0$No950,000$--------950,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2332.04205 Lbs6 ft12.04790,217$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1MacKenzie EntwistleNoel AcciariTyson Foerster35122
2Nathan WalkerTravis BoydRichard Panik30122
3Stefan NoesenSheldon DriesMark Arcobello25122
4Carl SoderbergZack SmithAndrew Ladd10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub KindlMartin Marincin35122
2Michael SauerJuuso Riikola30122
3Steven KampferJoe Morrow25122
4Jakub KindlMartin Marincin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1MacKenzie EntwistleNoel AcciariTyson Foerster50122
2Richard PanikTravis BoydNathan Walker50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub KindlSteven Kampfer50122
2Juuso RiikolaJoe Morrow50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zack SmithJannik Hansen50122
2Carl SoderbergAndrew Ladd50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin MarincinJoe Morrow50122
2Steven KampferJakub Kindl50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zack Smith50122Joe MorrowMartin Marincin50122
2Carl Soderberg50122Jakub KindlJuuso Riikola50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Noel AcciariTyson Foerster50122
2Travis BoydMacKenzie Entwistle50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub KindlSteven Kampfer50122
2Juuso RiikolaJoe Morrow50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
MacKenzie EntwistleNoel AcciariTyson FoersterJoe MorrowSteven Kampfer
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jannik HansenNoel AcciariTyson FoersterJoe MorrowMartin Marincin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Carl Soderberg, Nathan Walker, MacKenzie EntwistleMark Arcobello, Stefan NoesenNoel Acciari
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Morrow, Martin Marincin, Steven KampferJakub KindlJuuso Riikola, Steven Kampfer
Tirs de pénalité
Mark Arcobello, Noel Acciari, Andrew Ladd, Tyson Foerster, MacKenzie Entwistle
Gardien
#1 : Samuel Montembeault, #2 : Anders Nilsson
Lignes d’attaque personnalisées en prolongation
Tyson Foerster, Noel Acciari, MacKenzie Entwistle, Travis Boyd, Nathan Walker, Richard Panik, Stefan Noesen, Sheldon Dries, Zack Smith, Carl Soderberg
Lignes de défense personnalisées en prolongation
Joe Morrow, Steven Kampfer, Martin Marincin, Jakub Kindl, Juuso Riikola


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
1Bridgeport321000009811010000046-22200000052340.667917260045323961114233684612610230265115213.33%13469.23%0708141949.89%735140652.28%30260749.75%835551855281485239
2Charlotte2010100067-1000000000002010100067-120.500610160045323966642336846126671812229111.11%6183.33%0708141949.89%735140652.28%30260749.75%835551855281485239
3Cleveland31001100871210010006421000010023-150.833813210145323968242336846126833830561616.25%9188.89%0708141949.89%735140652.28%30260749.75%835551855281485239
4Eagles21000100761110000004221000010034-130.75071320004532396664233684612659238298225.00%4175.00%0708141949.89%735140652.28%30260749.75%835551855281485239
5Grand Rapids20101000880000000000002010100088020.500814220045323966342336846126632416428112.50%5260.00%1708141949.89%735140652.28%30260749.75%835551855281485239
6Hershey413000001118-72110000077020200000411-720.2501121320045323961714233684612614041538517317.65%16381.25%0708141949.89%735140652.28%30260749.75%835551855281485239
7Iowa21100000660000000000002110000066020.50069151045323966942336846126792619338225.00%60100.00%0708141949.89%735140652.28%30260749.75%835551855281485239
8Lehigh Valley30300000613-730300000613-70000000000000.0006915004532396102423368461261243426598337.50%13284.62%0708141949.89%735140652.28%30260749.75%835551855281485239
9Manitoba11000000541000000000001100000054121.0005914004532396374233684612627810195240.00%5260.00%0708141949.89%735140652.28%30260749.75%835551855281485239
10Ontario2020000068-21010000023-11010000045-100.000611170045323966842336846126732820459333.33%10370.00%0708141949.89%735140652.28%30260749.75%835551855281485239
11Providence320000101596220000009451000001065161.0001524390045323961184233684612612237354913538.46%14378.57%0708141949.89%735140652.28%30260749.75%835551855281485239
12Rockford1000010056-11000010056-10000000000010.50059140045323964742336846126351010133266.67%440.00%0708141949.89%735140652.28%30260749.75%835551855281485239
13San Jose22000000963110000005411100000042241.000918270045323965842336846126621620225360.00%10190.00%0708141949.89%735140652.28%30260749.75%835551855281485239
14Syracuse21001000853110000004221000100043141.0008142200453239679423368461265222423010110.00%8275.00%0708141949.89%735140652.28%30260749.75%835551855281485239
15Utica 2110000035-22110000035-20000000000020.5003690045323967942336846126653218429111.11%9277.78%0708141949.89%735140652.28%30260749.75%835551855281485239
16Wilkes-Barre/Scranton21100000990000000000002110000099020.500915240045323965942336846126852620429333.33%10280.00%0708141949.89%735140652.28%30260749.75%835551855281485239
Total36141404310121125-41787011005556-11967032106669-3410.56912121233311453239612754233684612612384133656391523523.03%1423376.76%1708141949.89%735140652.28%30260749.75%835551855281485239
_Since Last GM Reset36141404310121125-41787011005556-11967032106669-3410.56912121233311453239612754233684612612384133656391523523.03%1423376.76%1708141949.89%735140652.28%30260749.75%835551855281485239
_Vs Conference26911041108389-61366010003941-21335031104448-4290.55883143226014532396930423368461269033022784781142118.42%1032278.64%1708141949.89%735140652.28%30260749.75%835551855281485239
_Vs Division1769011004660-141036010002635-9733001002025-5150.441468112701453239660442336846126599201173335741317.57%701480.00%0708141949.89%735140652.28%30260749.75%835551855281485239

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3641W11212123331275123841336563911
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3614144310121125
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
178711005556
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
196732106669
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1523523.03%1423376.76%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
423368461264532396
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
708141949.89%735140652.28%30260749.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
835551855281485239


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
14Hartford3Charlotte2WXSommaire du match
315Cleveland4Hartford5WXSommaire du match
937Utica 4Hartford0LSommaire du match
1353Lehigh Valley4Hartford2LSommaire du match
1568Hartford4San Jose2WSommaire du match
1777Hartford4Grand Rapids3WXSommaire du match
1987Utica 1Hartford3WSommaire du match
2195Hartford5Manitoba4WSommaire du match
23107Cleveland0Hartford1WSommaire du match
25116Hartford5Iowa3WSommaire du match
27129Hartford6Providence5WXXSommaire du match
29133Hartford1Hershey6LSommaire du match
31144Hartford2Bridgeport1WSommaire du match
32150Hershey3Hartford5WSommaire du match
35168Hartford2Cleveland3LXSommaire du match
36173Providence2Hartford3WSommaire du match
39193Syracuse2Hartford4WSommaire du match
41203Hartford4Syracuse3WXSommaire du match
43213Hartford4Ontario5LSommaire du match
45223Lehigh Valley4Hartford1LSommaire du match
47234Hartford1Iowa3LSommaire du match
50247Hartford3Bridgeport1WSommaire du match
51251Providence2Hartford6WSommaire du match
55274Eagles2Hartford4WSommaire du match
57281Hartford3Eagles4LXSommaire du match
60298Lehigh Valley5Hartford3LSommaire du match
62308Hartford3Hershey5LSommaire du match
64322Rockford6Hartford5LXSommaire du match
69344Hershey4Hartford2LSommaire du match
72359Hartford4Grand Rapids5LSommaire du match
74370San Jose4Hartford5WSommaire du match
76388Ontario3Hartford2LSommaire du match
78399Hartford3Charlotte5LSommaire du match
80412Hartford4Wilkes-Barre/Scranton6LSommaire du match
81419Bridgeport6Hartford4LSommaire du match
84436Hartford5Wilkes-Barre/Scranton3WSommaire du match
85445Manitoba-Hartford-
88461Hartford-Syracuse-
89467Abbotsford-Hartford-
93486Hartford-San Jose-
95495Grand Rapids-Hartford-
98512Hartford-Providence-
100519San Diego-Hartford-
102531Hartford-Abbotsford-
104542Iowa-Hartford-
106553Hartford-Cleveland-
108567Bakersfield-Hartford-
110582Hartford-Springfield-
111590Texas-Hartford-
114604Hartford-Utica -
116618Charlotte-Hartford-
120640Wilkes-Barre/Scranton-Hartford-
122649Hartford-San Diego-
124659Hartford-Utica -
125667Charlotte-Hartford-
128686Hartford-Rockford-
130692Syracuse-Hartford-
134716Coachella Valley-Hartford-
136724Hartford-Manitoba-
138740Bridgeport-Hartford-
140752Hartford-Lehigh Valley-
142766Springfield-Hartford-
144778Hartford-Lehigh Valley-
147790Hartford-Texas-
148795Wilkes-Barre/Scranton-Hartford-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151813Hartford-Laval-
152818Rochester-Hartford-
156843Rochester-Hartford-
158852Hartford-Rochester-
160861Hartford-Texas-
161870Cleveland-Hartford-
164890Utica -Hartford-
167902Hartford-Rochester-
169911Hartford-Laval-
170917Hartford-Bakersfield-
172925Cleveland-Hartford-
175942Grand Rapids-Hartford-
176946Hartford-Bakersfield-
178956Hartford-Coachella Valley-
183975Laval-Hartford-
188996Utica -Hartford-
1921014Laval-Hartford-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance25,71412,409
Assistance PCT75.63%72.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2243 - 74.75% 131,662$2,238,260$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,636,788$ 1,817,500$ 1,817,500$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,321$ 775,254$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,159,896$ 111 19,577$ 2,173,047$




Hartford 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
1Dylan Sikura81275178-2183117224011.25%16151118.66617234810145348.29%01.0301
2Jonathan Dahlen78343670-310168327712.27%9144018.471113247500016349.69%00.9702
3Logan Shaw742037570871532288.77%26150320.3269155210163453.87%00.7613
4John Hayden74253156-47321010722810.96%8126417.0959145900025143.96%00.8900
5Brandon Davidson80104050-84574931178.55%147177222.16358430113110%00.5600

Hartford 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
1Devan Dubnyk31191010.9062.99180821909610020.8758
2Arvid Soderblom2717810.9073.17159101849080000.68816
3Robin Lehner2113710.8983.09124121646260111.0003
4Anders Lindback2413920.9192.89145380708610000.7508
5Akira Schmid112630.9153.5161521364260000.3333

Hartford 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
2082254503234249317-6841132600011117161-4441121903223132156-24682494416905272100719276492394186358288183882114993526117.33%3306779.70%51641310752.82%1539322347.75%690137550.18%1889127320076421070523
2336141404310121125-41787011005556-11967032106669-34112121233311453239612754233684612612384133656391523523.03%1423376.76%1708141949.89%735140652.28%30260749.75%835551855281485239
Total Saison régulière118395907544370442-7258213301111172217-4560182606433198225-271093706531023631171321101540391346130913248441191251118621385049619.05%47210078.81%62349452651.90%2274462949.13%992198250.05%2724182528639231556762
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Hartford 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
1Jake Gardiner2291423-343218310.84%5751323.327613490000300%00.9000
2Sam Steel161010204225398511.76%336823.052571600021246.20%01.0800
3Jan Rutta3251419-2444939875.75%6569921.865510470001010%00.5400
4Nicolas Petan2451318-761335915.49%947019.611672100010036.67%00.7600
5Janne Kuokkanen1961117161223827.32%233317.581561300000038.46%01.0200

Hartford 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
1Jonathan Bernier108200.9353.11599003148000000
2Keith Kinkaid95400.9253.33541013040201000
3Devan Dubnyk41210.9482.09344001222900000
4Akira Schmid41300.8924.16202001413000000
5Robin Lehner10100.9184.00600044900000