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Hartford
GP: 82 | W: 31 | L: 45 | OTL: 6 | P: 68
GF: 249 | GA: 317 | PP%: 17.33% | PK%: 79.70%
DG: Steve Bergeron | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Grand Rapids
41-33-8, 90pts
3
FINAL
1 Hartford
31-45-6, 68pts
Team Stats
W3StreakW1
22-14-5Home Record14-26-1
19-19-3Away Record17-19-5
9-1-0Last 10 Games2-7-1
3.13Buts par match 3.04
3.23Buts contre par match 3.87
17.42%Pourcentage en avantage numérique17.33%
82.02%Pourcentage en désavantage numérique79.70%
Hartford
31-45-6, 68pts
4
FINAL
3 Rochester
41-29-12, 94pts
Team Stats
W1StreakSOL1
14-26-1Home Record19-15-7
17-19-5Away Record22-14-5
2-7-1Last 10 Games6-1-3
3.04Buts par match 3.32
3.87Buts contre par match 3.44
17.33%Pourcentage en avantage numérique19.06%
79.70%Pourcentage en désavantage numérique80.98%
Meneurs d'équipe
Buts
Mark Arcobello
26
Passes
Jake Evans
42
Points
Mark Arcobello
63
Plus/Moins
Mike Santorelli
0
Victoires
Samuel Montembeault
16
Pourcentage d’arrêts
Samuel Montembeault
0.898

Statistiques d’équipe
Buts pour
249
3.04 GFG
Tirs pour
2764
33.71 Avg
Pourcentage en avantage numérique
17.3%
61 GF
Début de zone offensive
40.3%
Buts contre
317
3.87 GAA
Tirs contre
2881
35.13 Avg
Pourcentage en désavantage numérique
79.7%%
67 GA
Début de la zone défensive
41.8%
Informations de l'équipe

Directeur généralSteve Bergeron
EntraîneurRob Murray
DivisionAtlantique
ConférenceConference est
Capitaine
Assistant #1
Assistant #2Wojtek Wolski


Informations de l’aréna

Capacité3,000
Assistance2,294
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 50
Espoirs48


Historique d'équipe

Saison actuelle31-45-6 (68PTS)
Historique62-90-14 (0.373%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
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 moyen
1Dan FritscheXX100.006730765277658460716363597394871950003521,100,000$
2Michael ChaputXX100.00612783718575937288726965695450305000292850,000$
3Jake Evans (R)X100.00832592828183807386727376744646695000251700,000$
4Mark ArcobelloXXX100.006825887271799170876869618568674050003221,500,000$
5Zach PariseXX100.00682996537168886775636965817984225000362550,000$
6Garrett WilsonXX100.00804973728665867172697360816260435000302500,000$
7Nathan WalkerXX100.0089259777757680707066726515555445000272500,000$
8James WrightX100.00613189588565866463596966635349215000312750,000$
9Melker KarlssonXX100.00692988746675837471697267785858475000301999,999$
10Quinton HowdenXX100.00742982708174886976716963775448455000293900,000$
11Mike SantorelliXXX100.00542896587676966588636665817676295000351766,000$
12MacKenzie Entwistle (R)XX100.00873592788472826970687066753838685000213600,000$
13Mark LetestuXX100.005922945271657567986167607978682450003621,100,000$
14Paul RangerX100.005324824977779246324845825988901750003611,000,000$
15Mark BarberioX100.006830816979798249504745847462613250003121,100,000$
16Raphael DiazX100.00602983577774755125494582566962265000352900,000$
17Ryan O'ByrneX100.00783743418658894629424682698384195000362800,000$
18Ben HarpurX100.00785262749788884754475385744747615000263700,000$
19Riley Stillman (R)X99.00854581798480784870504488754242755000232500,000$
Rayé
MOYENNE D’ÉQUIPE99.9571328365797385626760627170636238500
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 moyen
1Pavel Francouz98.0074837885809291919491956969295000313850,000$
Rayé
1Samuel Montembeault (R)100.0072807791819088918889914443625000241800,000$
MOYENNE D’ÉQUIPE99.007382788881919091919093575646500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rob Murray79768970999964CAN5421,400,000$


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
1Mark ArcobelloHartford (NYR)C/LW/RW82263763-78055942344816011.11%10146917.9351318602890110531153.33%100700000.8611000435
2Jake EvansHartford (NYR)C58174259-9360123169237661617.17%12126521.82514196522003331142153.14%191200000.9303000324
3Michael ChaputHartford (NYR)C/LW82243458-7200421402175714111.06%10137116.7249133719000091434154.73%184900010.8512000243
4MacKenzie EntwistleHartford (NYR)C/RW82223456-18580167106251801948.76%14141117.228715722740000274044.44%31500000.7901000134
5Melker KarlssonHartford (NYR)LW/RW71212950-111208395283791827.42%12147420.7761016732611016982150.24%20700100.6825000532
6Ben HarpurHartford (NYR)D78173148-251142013575153499811.11%127194424.938917773200001240210.00%000000.4900211340
7Riley StillmanHartford (NYR)D7583644-25110101448714034715.71%156179623.9541115792730003216120.00%000000.4900101112
8Mark BarberioHartford (NYR)D8283240-19215447612850816.25%113172321.0251318672680001256000.00%000000.4600001110
9Garrett WilsonHartford (NYR)LW/RW60192140-97210117501765013210.80%7115519.2577144420100091263044.66%10300000.6912110140
10Quinton HowdenHartford (NYR)C/LW82132740-282808987153521198.50%6109313.3326814841012872148.35%60600000.7300000041
11Stefan NoesenNYRangersLW/RW38141630-88035461304111510.77%581421.42246241061126881142.31%7800000.7413000110
12Raphael DiazHartford (NYR)D8242125-2951570465621427.14%107127915.601011154000072010.00%000000.3900100111
13Ryan O'ByrneHartford (NYR)D8291625-11151251725170195412.86%120161519.70448402651011161020.00%000000.3100311032
14Nathan WalkerHartford (NYR)LW/RW50101222-17280634312923747.75%356111.23011350001121150.00%4600000.7800000221
15James WrightHartford (NYR)LW8214721-10120313290327215.56%85646.8800000101131041.18%5100000.7400000310
16Mike SantorelliHartford (NYR)C/LW/RW82714210115156510027677.00%1183110.140000001131281052.11%59300000.5100001102
17Mark LetestuHartford (NYR)C/RW8241115-88024357425545.41%56167.52000020000191058.77%32500000.4900000100
18Paul RangerHartford (NYR)D8221113-1318037454414234.55%104124315.17000190000128000.00%000000.2100000010
19Zach PariseHartford (NYR)LW/RW326410-6755125663110.71%232910.300001120000372142.55%4700000.6100001000
20Dan FritscheHartford (NYR)C/RW82167-8301037223612362.78%43844.6901148000060054.72%5300000.3600011000
Statistiques d’équipe totales ou en moyenne1446246441687-2688039514881376275778519078.92%8362294515.876110917067228515611462025281452.47%719200110.60617847303827
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)46162440.8983.5526738115815460130.500124519322
2Pavel FrancouzHartford (NYR)35151620.8973.5419698111611300020.66793341211
Statistiques d’équipe totales ou en moyenne81314060.8983.5446421622742676015217860533


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Ben HarpurHartford (NYR)D261995-01-12No224 Lbs6 ft6NoNoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Dan FritscheHartford (NYR)C/RW351985-07-13No217 Lbs6 ft1NoNoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$
Garrett WilsonHartford (NYR)LW/RW301991-03-16No204 Lbs6 ft2NoNoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jake EvansHartford (NYR)C251996-06-02Yes185 Lbs6 ft0NoNoNoNo1Pro & Farm700,000$0$0$NoLien
James WrightHartford (NYR)LW311990-03-24No203 Lbs6 ft4NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
MacKenzie EntwistleHartford (NYR)C/RW211999-07-14 21:41:07Yes184 Lbs6 ft3NoNoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$Lien
Mark ArcobelloHartford (NYR)C/LW/RW321988-08-12No179 Lbs5 ft8NoNoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Mark BarberioHartford (NYR)D311990-03-23No209 Lbs6 ft1NoNoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$
Mark LetestuHartford (NYR)C/RW361985-02-04No207 Lbs5 ft11NoNoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$Lien
Melker KarlssonHartford (NYR)LW/RW301990-07-18No186 Lbs6 ft0NoNoNoNo1Pro & Farm999,999$0$0$NoLien
Michael ChaputHartford (NYR)C/LW291992-04-09No204 Lbs6 ft2NoNoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Mike SantorelliHartford (NYR)C/LW/RW351985-12-14No197 Lbs6 ft0NoNoNoNo1Pro & Farm766,000$0$0$NoLien
Nathan WalkerHartford (NYR)LW/RW271994-02-07 12:01:34No186 Lbs5 ft9NoNoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Paul RangerHartford (NYR)D361984-09-12No226 Lbs6 ft2NoNoNoNo1Pro & Farm1,000,000$0$0$No
Pavel FrancouzHartford (NYR)G311990-06-03 08:00:58No179 Lbs6 ft0NoNoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien
Quinton HowdenHartford (NYR)C/LW291992-01-21No198 Lbs6 ft2NoNoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Raphael DiazHartford (NYR)D351986-01-09No206 Lbs5 ft11NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Riley StillmanHartford (NYR)D231998-03-09 08:09:05Yes190 Lbs6 ft0NoNoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Ryan O'ByrneHartford (NYR)D361984-07-19No244 Lbs6 ft5NoNoNoNo2Pro & Farm800,000$0$0$No800,000$
Samuel MontembeaultHartford (NYR)G241996-10-30 14:36:25Yes195 Lbs6 ft3NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Zach PariseHartford (NYR)LW/RW361984-07-28No202 Lbs5 ft11NoNoNoNo2Pro & Farm550,000$0$0$No550,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2130.38201 Lbs6 ft11.95831,714$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Garrett WilsonJake EvansMelker Karlsson40122
2Mark ArcobelloMichael ChaputMacKenzie Entwistle30122
3Zach PariseQuinton HowdenNathan Walker20122
4James WrightMike SantorelliMark Letestu10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurRiley Stillman40122
2Mark BarberioRyan O'Byrne30122
3Raphael DiazPaul Ranger20122
4Ben HarpurRiley Stillman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Garrett WilsonJake EvansMelker Karlsson60122
2Mark ArcobelloMichael ChaputMacKenzie Entwistle40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurRiley Stillman60122
2Mark BarberioRyan O'Byrne40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jake EvansGarrett Wilson60122
2Melker KarlssonMichael Chaput40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurRiley Stillman60122
2Mark BarberioRyan O'Byrne40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jake Evans60122Ben HarpurRiley Stillman60122
2Garrett Wilson40122Mark BarberioRyan O'Byrne40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jake EvansGarrett Wilson60122
2Melker KarlssonMichael Chaput40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben HarpurRiley Stillman60122
2Mark BarberioRyan O'Byrne40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Garrett WilsonJake EvansMelker KarlssonBen HarpurRiley Stillman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Garrett WilsonJake EvansMelker KarlssonBen HarpurRiley Stillman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dan Fritsche, Quinton Howden, Zach PariseDan Fritsche, Quinton HowdenZach Parise
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Raphael Diaz, Paul Ranger, Mark BarberioRaphael DiazPaul Ranger, Mark Barberio
Tirs de pénalité
Jake Evans, Garrett Wilson, Melker Karlsson, Michael Chaput, Mark Arcobello
Gardien
#1 : , #2 : Pavel Francouz


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
1Abbotsford22000000844110000004221100000042241.0008142200721007197492394186358541918325120.00%80100.00%11641310752.82%1539322347.75%690137550.18%1889127320076421070523
2Bakersfield20100001913-41010000058-31000000145-110.25091625007210071978923941863587721223913430.77%10370.00%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
3Charlotte624000001627-1131200000712-531200000915-640.333163046007210071917192394186358246816811621419.05%33875.76%21641310752.82%1539322347.75%690137550.18%1889127320076421070523
4Cleveland422000001320-72110000069-321100000711-440.5001322350072100719128923941863581392720641317.69%8275.00%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
5Grand Rapids412010001412220200000610-42100100082640.50014274111721007191409239418635813831317827414.81%13192.31%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
6Hershey603002011731-1430300000617-11300002011114-330.250173148007210071919792394186358235915212130723.33%24675.00%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
7Iowa2020000014-31010000013-21010000001-100.0001230072100719599239418635861261841900.00%9277.78%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
8Laval41300000914-52020000038-52110000066020.2509162500721007191439239418635814329395215320.00%15566.67%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
9Lehigh Valley6410100024177321000001192320010001385100.8332442661072100719235923941863582035938106431023.26%16381.25%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
10Manitoba32001000141041100000031221001000119261.000142539007210071983923941863588314564711436.36%13561.54%11641310752.82%1539322347.75%690137550.18%1889127320076421070523
11Milwaukee2020000069-31010000034-11010000035-200.0006101600721007195092394186358762033217114.29%14564.29%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
12Ontario2020000047-31010000024-21010000023-100.000471100721007196992394186358792824403133.33%12191.67%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
13Providence422000001011-12020000037-42200000074340.50010192901721007191249239418635813635329323313.04%16287.50%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
14Rochester412000101917221100000131032010001067-140.50019325110721007191489239418635815444306415426.67%13376.92%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
15Rockford20100010610-4100000103211010000038-520.50069150072100719779239418635876212042400.00%9455.56%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
16San Diego20200000412-81010000037-41010000015-400.000481200721007197592394186358861624445120.00%10370.00%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
17San Jose30200001817-920100001310-71010000057-210.16781321107210071911592394186358983123521119.09%90100.00%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
18Springfield30200001513-81010000016-52010000147-310.1675914107210071988923941863581294665741100.00%15286.67%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
19Texas321000007702110000045-11100000032140.66771320007210071980923941863581013231471200.00%13192.31%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
20Toronto404000001115-42020000057-22020000068-200.00011193000721007191339239418635812745286915213.33%14192.86%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
21Tucson2020000046-21010000023-11010000023-100.00048120072100719559239418635874172044400.00%10280.00%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
22Utica633000001719-233000000115630300000614-860.500173148007210071917692394186358168546210927414.81%26580.77%01641310752.82%1539322347.75%690137550.18%1889127320076421070523
23Wilkes-Barre/Scranton63200010232213210000012120311000101110180.667233861007210071926692394186358198516710428621.43%20385.00%11641310752.82%1539322347.75%690137550.18%1889127320076421070523
Total82254503234249317-6841132600011117161-4441121903223132156-24680.4152494416905272100719276492394186358288183882114993526117.33%3306779.70%51641310752.82%1539322347.75%690137550.18%1889127320076421070523
_Since Last GM Reset82254503234249317-6841132600011117161-4441121903223132156-24680.4152494416905272100719276492394186358288183882114993526117.33%3306779.70%51641310752.82%1539322347.75%690137550.18%1889127320076421070523
_Vs Conference54192802221173205-322710170000083106-2327911022219099-9490.454173307480327210071918619239418635818875474679762574818.68%1983980.30%31641310752.82%1539322347.75%690137550.18%1889127320076421070523
_Vs Division2812130121194109-151487000004652-61446012114857-9310.5549416425810721007191002923941863589432822395041412819.86%941979.79%11641310752.82%1539322347.75%690137550.18%1889127320076421070523

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8268W124944169027642881838821149952
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8225453234249317
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113260011117161
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4112193223132156
Derniers 10 matchs
WLOTWOTL SOWSOL
270001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3526117.33%3306779.70%5
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
9239418635872100719
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
1641310752.82%1539322347.75%690137550.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1889127320076421070523


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
1 - 2022-11-257Lehigh Valley2Hartford5BWSommaire du match
3 - 2022-11-2613Hartford4Wilkes-Barre/Scranton1AWSommaire du match
6 - 2022-11-2730Charlotte4Hartford2BLSommaire du match
8 - 2022-11-2835Hartford5Lehigh Valley4AWXSommaire du match
10 - 2022-11-2951Hartford4Hershey5ALXSommaire du match
12 - 2022-11-3062Hershey7Hartford3BLSommaire du match
14 - 2022-12-0171Hartford5Charlotte4AWSommaire du match
16 - 2022-12-0281Hartford3Utica7ALSommaire du match
18 - 2022-12-0393Utica2Hartford3BWSommaire du match
20 - 2022-12-04106Hartford4Hershey5ALXSommaire du match
22 - 2022-12-05116Wilkes-Barre/Scranton2Hartford5BWSommaire du match
24 - 2022-12-06131Hartford3Charlotte7ALSommaire du match
26 - 2022-12-07138Hartford3Wilkes-Barre/Scranton6ALSommaire du match
27 - 2022-12-08144Texas4Hartford1BLSommaire du match
30 - 2022-12-09161Hartford4Laval2AWSommaire du match
31 - 2022-12-10166Rochester4Hartford8BWSommaire du match
34 - 2022-12-11177Hartford1Utica4ALSommaire du match
36 - 2022-12-12186Hartford3Cleveland9ALSommaire du match
37 - 2022-12-13193Wilkes-Barre/Scranton1Hartford4BWSommaire du match
39 - 2022-12-14211Hartford4Cleveland2AWSommaire du match
41 - 2022-12-15218Rochester6Hartford5BLSommaire du match
45 - 2022-12-17238Charlotte2Hartford3BWSommaire du match
47 - 2022-12-18251Hartford2Laval4ALSommaire du match
49 - 2022-12-19261Hartford5Grand Rapids0AWSommaire du match
50 - 2022-12-19267Abbotsford2Hartford4BWSommaire du match
53 - 2022-12-21283Hartford2Ontario3ALSommaire du match
54 - 2022-12-21288Rockford2Hartford3BWXXSommaire du match
57 - 2022-12-23308Hartford6Manitoba5AWSommaire du match
58 - 2022-12-23313Texas1Hartford3BWSommaire du match
61 - 2022-12-25331San Jose4Hartford3BLXXSommaire du match
63 - 2022-12-26339Hartford5San Jose7ALSommaire du match
65 - 2022-12-27353Hartford5Manitoba4AWXSommaire du match
66 - 2022-12-27360Lehigh Valley3Hartford4BWSommaire du match
69 - 2022-12-29372Hartford2Toronto3ALSommaire du match
71 - 2022-12-30381Hartford1Charlotte4ALSommaire du match
72 - 2022-12-30384Tucson3Hartford2BLSommaire du match
75 - 2023-01-01402Hartford4Bakersfield5ALXXSommaire du match
77 - 2023-01-02408Ontario4Hartford2BLSommaire du match
81 - 2023-01-04431Toronto3Hartford2BLSommaire du match
84 - 2023-01-05446Hartford4Toronto5ALSommaire du match
86 - 2023-01-06455Manitoba1Hartford3BWSommaire du match
88 - 2023-01-07468Hartford0Iowa1ALSommaire du match
90 - 2023-01-08480San Jose6Hartford0BLSommaire du match
93 - 2023-01-10490Hartford3Texas2AWSommaire du match
95 - 2023-01-11502Hartford1San Diego5ALSommaire du match
96 - 2023-01-11504Milwaukee4Hartford3BLSommaire du match
99 - 2023-01-13524Hartford2Springfield4ALSommaire du match
100 - 2023-01-13530San Diego7Hartford3BLSommaire du match
103 - 2023-01-15549Hartford2Springfield3ALXXSommaire du match
104 - 2023-01-15552Bakersfield8Hartford5BLSommaire du match
109 - 2023-01-18576Providence4Hartford3BLSommaire du match
114 - 2023-01-20597Hershey4Hartford3BLSommaire du match
118 - 2023-01-22617Lehigh Valley4Hartford2BLSommaire du match
120 - 2023-01-23625Hartford2Tucson3ALSommaire du match
122 - 2023-01-24631Hartford4Lehigh Valley2AWSommaire du match
124 - 2023-01-25643Charlotte6Hartford2BLSommaire du match
126 - 2023-01-26655Hartford4Wilkes-Barre/Scranton3AWXXSommaire du match
127 - 2023-01-27664Hartford4Abbotsford2AWSommaire du match
129 - 2023-01-28674Providence3Hartford0BLSommaire du match
132 - 2023-01-29688Hartford3Grand Rapids2AWXSommaire du match
133 - 2023-01-30694Hershey6Hartford0BLSommaire du match
136 - 2023-01-31706Hartford4Lehigh Valley2AWSommaire du match
138 - 2023-02-01717Hartford3Milwaukee5ALSommaire du match
139 - 2023-02-02721Toronto4Hartford3BLSommaire du match
143 - 2023-02-04743Wilkes-Barre/Scranton9Hartford3BLSommaire du match
145 - 2023-02-05749Hartford6Providence4AWSommaire du match
147 - 2023-02-06762Hartford3Rockford8ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2023-02-06768Iowa3Hartford1BLSommaire du match
152 - 2023-02-08790Laval4Hartford2BLSommaire du match
155 - 2023-02-10800Hartford1Providence0AWSommaire du match
157 - 2023-02-11813Cleveland3Hartford5BWSommaire du match
160 - 2023-02-12832Utica1Hartford4BWSommaire du match
165 - 2023-02-15857Laval4Hartford1BLSommaire du match
167 - 2023-02-16867Hartford2Utica3ALSommaire du match
170 - 2023-02-17879Utica2Hartford4BWSommaire du match
175 - 2023-02-20900Cleveland6Hartford1BLSommaire du match
181 - 2023-02-23922Grand Rapids7Hartford5BLSommaire du match
185 - 2023-02-25941Springfield6Hartford1BLSommaire du match
186 - 2023-02-25944Hartford3Hershey4ALXXSommaire du match
189 - 2023-02-27955Hartford2Rochester4ALSommaire du match
193 - 2023-03-01969Grand Rapids3Hartford1BLSommaire du match
196 - 2023-03-02981Hartford4Rochester3AWXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,69331,373
Assistance PCT76.45%76.52%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2294 - 76.48% 134,205$5,502,386$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,077,020$ 1,746,600$ 1,746,600$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,821$ 1,676,977$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,892$ 0$




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 Sikura16254102156-4366234448011.25%32302318.6612344696202810648.2901.0302
2Jonathan Dahlen1566872140-6203216655412.27%18288118.47222648150000212649.6900.9704
3Logan Shaw1484074114016143064568.77%52300720.32121830104202126853.8700.7626
4John Hayden1485062112-814642021445610.96%16252817.09101828118000410243.9600.8900
5Brandon Davidson1602080100-16901481862348.55%294354522.1661016860226220.00%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 Dubnyk62382020.9062.9936164218019220040.87516
2Robin Lehner42261420.8983.0924824212812520221.0006
3Anders Lindback48261840.9192.89290716014017220000.75016

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
2082413301232266295-2941201701210134156-2241211600022132139-794266468734328497815262386690882939277389684715163285416.46%3336580.48%21529300550.88%1557309050.39%665133749.74%1891126419896331070529
2082413301232266295-2941201701210134156-2241211600022132139-794266468734328497815262386690882939277389684715163285416.46%3336580.48%21529300550.88%1557309050.39%665133749.74%1891126419896331070529
Total Saison régulière164509006468498634-13682265200022234322-8882243806446264312-481364988821380104144200142185528184618821726116576216761642299870412217.33%66013479.70%103282621452.82%3078644647.75%1380275050.18%377925474015128521401046
Séries éliminatoires
Total Séries éliminatoires00000000000000.00%0.00%0.00%0.00%0.00%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

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