New York Islanders

GP: 25 | W: 8 | L: 14 | OTL: 3 | P: 19
GF: 66 | GA: 79 | PP%: 20.00% | PK%: 78.85%
DG: Maxime-Olivier Mercier | Morale : 33 | Moyenne d'Équipe : N/A
Prochain matchs #418 vs St. Louis Blues
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire Moyen
1David PerronXX100.006635827779757486557980629394967034003224,500,000$
2Vince HinostrozaXXX98.006025939268807883758380657669657033002612,500,000$
3Lars EllerXXX100.008938788183888882798180668193937039003135,225,000$
4Dominik Kubalik (R)XX100.00723083857783838465808468776865703900251950,000$
5Nick CousinsXXX100.008846778484868482768382677788907039002713,000,000$
6Gabriel BourqueXX100.008042798078848080687979727698917036003013,250,000$
7Ondrej PalatX100.006437828179828082747881708092857039002943,500,000$
8Mark StoneX100.008537797584868688718785697991927039002847,000,000$
9Tom WilsonX98.009850707889797980667779737385847039002612,000,000$
10Dylan Strome (A)XX98.008040787479797692748582687870707039002344,500,000$
11Tyson BaillieXX98.008140808278787681748081707974757033002522,000,000$
12Nikita Scherbak (R)XX100.008035778378838383608179677869657030002511,500,000$
13Jyrki JokipakkaX100.007840837685807474507662875874757039002922,250,000$
14Erik GudbransonX100.009547688187888280508566916599967021002824,800,000$
15Brian DumoulinX100.008347788081787978508265866888917037002934,500,000$
16Joakim RyanX100.007640818278818179508264826567677037002753,000,000$
17Seth Jones (A)X98.009247768686817784518568876880827039002615,000,000$
18Vince DunnX99.00773878798483818050816784666263703300241950,000$
Rayé
1David Krejci (C)XX97.476735878272808083798876758099997030003446,800,000$
2Michael FrolikXXX100.006835878179929283808179658296977035003224,650,000$
3Yannick WeberX100.00714089817573727950796980629093703700322950,000$
Équipe Mineure
1Brett Seney (R)XX99.007345728270787878717776677165627048002431,750,000$
2Andrej NestrasilXXX99.006535928079787380757978667574747048002921,250,000$
3Jonathan Dahlen (R)XX100.006935897975767678727675687261637048002311,000,000$
4Brandon Gignac (R)XX100.00644080797281737772767469706875704800233850,000$
5Sean MaloneX100.007840828178767678747877747164657038002521,350,000$
6Dane FoxX99.008741777881797577757777667977787048002711,250,000$
7Joel Eriksson EkXXX100.008237808380807781788078767268677030002341,200,000$
8Christopher Clapperton (R)X99.00753580827779787965797768756769704800261850,000$
9Kerby Rychel (R)XX99.008545767482777777677575687264647045002631,000,000$
10Julien Gauthier (R)X100.00834080779478777667737667726161704800231850,000$
11Luke Kunin (R)XX99.00814774828081807976777870756370704800231950,000$
12Jérémy Roy (R)X100.00723583778380737550756081626569704800232800,000$
13Robbie RussoX99.00864573768480827650766285606868704100272900,000$
14Alexandre Carrier (R)X100.007640778476807877517966807170717048002421,400,000$
15Julius Bergman (R)X100.009248707688807976507962835866667045002521,850,000$
16Scott MayfieldX100.009347707587747374507361815570747048002811,200,000$
17Brenden KichtonX100.007940767780808075507660855961617048002831,000,000$
18Noah JuulsenX100.00904780768378767450766585606369703500231950,000$
19Cale MakarX100.00764082857681808350816479655859704000221950,000$
20Colton White (R)X100.00794079748078787350746181596363704800231800,000$
21Kirill KabanovXX100.00664075777775747664737261716555702600283700,000$
22Kelly Klima (R)X100.00824568757776747263707265705355702600231650,000$
23Kevin Klima (R)XX100.00784175787981817572747471715657702600231750,000$
24Jordan Bellerive (R)X100.00844572788482817571747368706562704500212800,000$
MOYENNE D'ÉQUIPE99.5379407980808079796479737471737470390
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
1Ben Bishop97.00848491989093949190929598997024003456,500,000$
2Jake Paterson (R)100.00898283838988878888878472757029002641,565,000$
Rayé
Équipe Mineure
1Matthew Villalta (R)100.0083848388848283838281806262703600212800,000$
2Jared Coreau96.00878586929190909091918867687038002922,000,000$
3Shamil Shmakov (R)100.0083848388828282818280815452704300211750,000$
MOYENNE D'ÉQUIPE98.608584859087878787878686717170340
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller80908585758570CAN5432,000,000$


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
1Dylan StromeNew York IslandersC/LW25101222-2120323273205413.70%244617.8546102373000001043.65%39400000.9901000220
2Mark StoneNew York IslandersRW2561016-514050256819558.82%448419.371671771101180049.02%5100000.6600000011
3Nick CousinsNew York IslandersC/LW/RW258715-8140453864153512.50%248219.2933615740110150055.73%25300000.6200000110
4Seth JonesNew York IslandersD2521315-642064414722334.26%4160224.122572677011066000.00%000000.5000000001
5David KrejciNew York IslandersC/RW22761322055060162811.67%343119.6111211640002881146.53%49000000.6000000003
6Erik GudbransonNew York IslandersD2011011-22205129238174.35%2938919.480221236000136000.00%000000.5600000102
7Jyrki JokipakkaNew York IslandersD252810-212032223013216.67%3351720.702241663000085010.00%000000.3900000001
8Joakim RyanNew York IslandersD24191001401918101610.00%3537015.4200038000030000.00%000000.5400000000
9Vince HinostrozaNew York IslandersC/LW/RW184593002295611267.14%131417.491231050000090050.55%9100000.5700000000
10Yannick WeberNew York IslandersD19459-3608163181812.90%2036419.163032054000022300.00%000000.4900000100
11Tom WilsonNew York IslandersRW25459-112049183562311.43%534713.9112363400021030044.07%5900000.5201000010
12Vince DunnNew York IslandersD19088-33351322274100.00%2241421.830331648000046000.00%000000.3900000000
13Lars EllerNew York IslandersC/LW/RW25336-3004033319299.68%230312.15011234000041051.99%30200000.3901000011
14Dominik KubalikNew York IslandersLW/RW25246-960720737462.74%644017.62011441000000027.27%2200000.2700000000
15Michael FrolikNew York IslandersC/LW/RW21325260219267911.54%32089.9300000000000058.93%11200000.4800000000
16Brian DumoulinNew York IslandersD24145-5180222817295.88%2539116.31000411000052000.00%000000.2600000000
17Ondrej PalatNew York IslandersLW25415-100211188822.22%22098.39000000000420050.00%3800000.4800000000
18Nikita ScherbakNew York IslandersLW/RW16145-260101015596.67%116010.0300000000001050.00%1000000.6200000000
19David PerronNew York IslandersLW/RW101232006460116.67%0999.9300000000040041.67%9600000.6000000010
20Gabriel BourqueNew York IslandersLW/RW121232801013135167.69%113411.22000000001120048.39%6200000.4500000010
21Tyson BaillieNew York IslandersC/RW17213-3401114237138.70%021112.43000050000271049.50%10100000.2800000000
22Noah JuulsenBridgeport Sound Tigers (NYI)D2033400421250.00%64723.730000700008000.00%000001.2600000000
Stats d'équipe Total ou en Moyenne44967124191-4023154844947471954718.97%243737316.4218345218575812376658248.58%208100000.5203000589
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
1Ben BishopNew York Islanders228920.9112.83120981576400020.0000214230
2Jake PatersonNew York Islanders70510.8733.6429700181420010.6673421000
Stats d'équipe Total ou en Moyenne2981430.9042.99150681757820030.66732525230


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Ben BishopNew York IslandersG341985-01-22 18:29:38No215 Lbs6 ft7NoNoNo5Pro & Farm6,500,000$4,791,237$6,500,000$4,791,237$6,500,000$4,791,237$No6,500,000$6,500,000$6,500,000$6,500,000$
Brian DumoulinNew York IslandersD291990-01-22 02:47:23No200 Lbs6 ft3NoNoNo3Pro & Farm4,500,000$3,317,010$4,500,000$3,317,010$4,500,000$3,317,010$No4,500,000$4,500,000$
David KrejciNew York IslandersC/RW341985-01-22 12:29:38No177 Lbs6 ft0NoNoNo4Pro & Farm6,800,000$5,012,371$6,800,000$5,012,371$6,800,000$5,012,371$No6,800,000$6,800,000$6,800,000$
David PerronNew York IslandersLW/RW321987-01-22 00:29:38No200 Lbs6 ft0NoNoNo2Pro & Farm4,500,000$3,317,010$4,500,000$3,317,010$4,500,000$3,317,010$No4,500,000$
Dominik KubalikNew York IslandersLW/RW251994-01-02 09:57:34Yes179 Lbs6 ft2NoNoNo1Pro & Farm950,000$700,257$950,000$700,257$950,000$700,258$No
Dylan StromeNew York IslandersC/LW231996-01-22 10:54:27No185 Lbs6 ft3NoNoNo4Pro & Farm4,500,000$3,317,010$4,500,000$3,317,010$4,500,000$3,317,010$No4,500,000$4,500,000$4,500,000$
Erik GudbransonNew York IslandersD281991-01-22 11:33:16No195 Lbs6 ft3NoNoNo2Pro & Farm4,800,000$3,538,144$4,800,000$3,538,144$4,800,000$3,538,144$No4,800,000$
Gabriel BourqueNew York IslandersLW/RW301989-01-22 14:19:20No183 Lbs5 ft9NoNoNo1Pro & Farm3,250,000$2,395,618$3,250,000$2,395,618$3,250,000$2,395,619$No
Jake PatersonNew York IslandersG261993-01-22 13:59:07Yes178 Lbs6 ft0NoNoNo4Pro & Farm1,565,000$1,153,582$1,565,000$1,153,582$1,565,000$1,153,582$No1,565,000$1,565,000$1,565,000$
Joakim RyanNew York IslandersD271992-01-22 12:25:47No185 Lbs5 ft11NoNoNo5Pro & Farm3,000,000$2,211,340$3,000,000$2,211,340$3,000,000$2,211,340$No3,000,000$3,000,000$3,000,000$3,000,000$
Jyrki JokipakkaNew York IslandersD291990-01-22 04:59:27No216 Lbs6 ft3NoNoNo2Pro & Farm2,250,000$1,658,505$2,250,000$1,658,505$2,250,000$1,658,505$No2,250,000$
Lars EllerNew York IslandersC/LW/RW311988-01-22 06:29:38No198 Lbs6 ft2NoNoNo3Pro & Farm5,225,000$3,851,417$5,225,000$3,851,417$5,225,000$3,851,418$No5,225,000$5,225,000$
Mark StoneNew York IslandersRW281991-01-22 12:19:39No200 Lbs6 ft3NoNoNo4Pro & Farm7,000,000$5,159,793$7,000,000$5,159,793$7,000,000$5,159,794$No7,000,000$7,000,000$7,000,000$
Michael FrolikNew York IslandersC/LW/RW321987-01-22 00:29:38No196 Lbs6 ft1NoNoNo2Pro & Farm4,650,000$3,427,577$4,650,000$3,427,577$4,650,000$3,427,577$No4,650,000$
Nick CousinsNew York IslandersC/LW/RW271992-01-22 09:00:20No170 Lbs5 ft11NoNoNo1Pro & Farm3,000,000$2,211,340$3,000,000$2,211,340$3,000,000$2,211,340$No
Nikita ScherbakNew York IslandersLW/RW251994-01-22 04:39:17Yes174 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$1,105,670$1,500,000$1,105,670$1,500,000$1,105,670$No
Ondrej PalatNew York IslandersLW291990-01-22 11:45:39No180 Lbs6 ft0NoNoNo4Pro & Farm3,500,000$2,579,896$3,500,000$2,579,896$3,500,000$2,579,897$No3,500,000$3,500,000$3,500,000$
Seth JonesNew York IslandersD261993-01-22 17:20:42No205 Lbs6 ft4NoNoNo1Pro & Farm5,000,000$3,685,567$5,000,000$3,685,567$5,000,000$3,685,567$No
Tom WilsonNew York IslandersRW261993-01-22 11:47:25No210 Lbs6 ft4NoNoNo1Pro & Farm2,000,000$1,474,226$2,000,000$1,474,226$2,000,000$1,474,227$No
Tyson BaillieNew York IslandersC/RW251994-01-22 17:50:58No187 Lbs5 ft10NoNoNo2Pro & Farm2,000,000$1,474,226$2,000,000$1,474,226$2,000,000$1,474,227$No2,000,000$
Vince DunnNew York IslandersD241995-01-22 07:59:57No203 Lbs6 ft0NoNoNo1Pro & Farm950,000$700,257$950,000$700,257$950,000$700,258$No
Vince HinostrozaNew York IslandersC/LW/RW261993-01-22 06:19:02No172 Lbs5 ft9NoNoNo1Pro & Farm2,500,000$1,842,783$2,500,000$1,842,783$2,500,000$1,842,784$No
Yannick WeberNew York IslandersD321987-01-22 00:29:38No193 Lbs5 ft11NoNoNo2Pro & Farm950,000$700,257$950,000$700,257$950,000$700,258$No950,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2328.17191 Lbs6 ft12.433,516,957$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
80,890,000$61,740,000$42,590,000$32,865,000$9,500,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick CousinsDylan StromeVince Hinostroza30113
2Dominik KubalikTyson BaillieMark Stone30113
3Nikita ScherbakLars EllerTom Wilson20113
4Ondrej PalatGabriel BourqueTom Wilson20131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GudbransonSeth Jones35122
2Vince DunnBrian Dumoulin30131
3Joakim RyanJyrki Jokipakka25122
4Seth JonesVince Dunn10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick CousinsDylan StromeVince Hinostroza60005
2Dominik KubalikTyson BaillieMark Stone40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth JonesVince Dunn60014
2Erik GudbransonJoakim Ryan40005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel BourqueTom Wilson60140
2Tyson BaillieOndrej Palat40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik GudbransonJyrki Jokipakka60050
2Brian DumoulinSeth Jones40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tom Wilson60041Erik GudbransonSeth Jones60050
2Gabriel Bourque40140Jyrki JokipakkaBrian Dumoulin40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan StromeTom Wilson60122
2Mark StoneGabriel Bourque40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth JonesErik Gudbranson60122
2Jyrki JokipakkaBrian Dumoulin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick CousinsDylan StromeMark StoneJoakim RyanSeth Jones
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tom WilsonTyson BaillieGabriel BourqueErik GudbransonJyrki Jokipakka
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tom Wilson, Lars Eller, Ondrej PalatTom Wilson, Nick CousinsOndrej Palat
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Erik Gudbranson, Jyrki Jokipakka, Seth JonesJyrki JokipakkaSeth Jones, Vince Dunn
Tirs de Pénalité
Lars Eller, Tom Wilson, Dylan Strome, Nick Cousins, Dominik Kubalik
Gardien
#1 : Ben Bishop, #2 : Jake Paterson
Lignes d'Attaque Perso. en Prol.
Dylan Strome, Mark Stone, Nick Cousins, Dominik Kubalik, Gabriel Bourque, Lars Eller, Lars Eller, Vince Hinostroza, Ondrej Palat, Tyson Baillie, Tom Wilson
Lignes de Défense Perso. en Prol.
Seth Jones, Vince Dunn, Jyrki Jokipakka, Erik Gudbranson, Brian Dumoulin


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Boston Bruins311001001111020100100710-31100000041330.5001122331016408623362528819185910440.00%7185.71%041184948.41%42690247.23%19837053.51%745469213819
2Buffalo Sabres1010000048-4000000000001010000048-400.0004812001120421612140441923186116.67%6516.67%041184948.41%42690247.23%19837053.51%2518235115
3Calgary Flames1010000035-2000000000001010000035-200.0003580020102711880321810224250.00%5260.00%041184948.41%42690247.23%19837053.51%1911288126
4Carolina Hurricanes11000000422000000000001100000042221.0004711000130409823044610204250.00%5180.00%041184948.41%42690247.23%19837053.51%2417237115
5Columbus Blue Jackets2020000026-41010000023-11010000003-300.00024600002051151521058261836700.00%8362.50%041184948.41%42690247.23%19837053.51%453050142411
6Dallas Stars1010000013-2000000000001010000013-200.0001230000102069503314628000.00%2150.00%041184948.41%42690247.23%19837053.51%2115266125
7Detroit Red Wings1010000024-2000000000001010000024-200.00024610101016277042914234125.00%70100.00%041184948.41%42690247.23%19837053.51%2013277115
8Edmonton Oilers1010000013-2000000000001010000013-200.00012300001029861503316212400.00%10100.00%041184948.41%42690247.23%19837053.51%2215247136
9Florida Panthers1010000013-2000000000001010000013-200.000112100100297814038101017100.00%4175.00%041184948.41%42690247.23%19837053.51%2316246126
10Los Angeles Kings1010000016-51010000016-50000000000000.000123000010247611038111623300.00%8187.50%041184948.41%42690247.23%19837053.51%2113257136
11Montreal Canadiens2010010037-42010010037-40000000000010.25035800102066131636153221040700.00%5180.00%041184948.41%42690247.23%19837053.51%432949142714
12Nashville Predators11000000624110000006240000000000021.00061218003120401312150236826200.00%4250.00%041184948.41%42690247.23%19837053.51%2720207125
13New Jersey Devils431000001367110000004223210000094560.750132639015530113393638010531405712541.67%19194.74%041184948.41%42690247.23%19837053.51%916198315023
14New York Rangers11000000422110000004220000000000021.000471100013027591303562021700.00%10190.00%041184948.41%42690247.23%19837053.51%2115277115
15Ottawa Senators11000000514110000005140000000000021.00058130032002499602314222150.00%20100.00%041184948.41%42690247.23%19837053.51%2417227136
16Philadelphia Flyers1010000024-21010000024-20000000000000.000246001010331241703154185120.00%20100.00%041184948.41%42690247.23%19837053.51%2316247125
17Tampa Bay Lightning1010000013-2000000000001010000013-200.000123000100306159042151221400.00%5180.00%141184948.41%42690247.23%19837053.51%2315246125
Total25814002016679-131245002013640-41349000003039-9190.380661241903118212707432122322948785241233481901820.00%1042278.85%141184948.41%42690247.23%19837053.51%582403613184312152
18Washington Capitals1000000123-11000000123-10000000000010.5002350002004611161752378188112.50%4175.00%041184948.41%42690247.23%19837053.51%2820237126
_Since Last GM Reset25814002016679-131245002013640-41349000003039-9190.380661241903118212707432122322948785241233481901820.00%1042278.85%141184948.41%42690247.23%19837053.51%582403613184312152
_Vs Conference1979002015256-41034002012932-3945000002324-1170.44752971492112202005871651842338584167177347731520.55%771679.22%141184948.41%42690247.23%19837053.51%450313460139237117
_Vs Division105400001272345220000114140532000001394110.5502751780169120310918812952968110017043920.93%48785.42%041184948.41%42690247.23%19837053.51%2351602467712258

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2519L26612419074378524123348131
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2581402016679
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
124502013640
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
134900003039
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
901820.00%1042278.85%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
21223229481821270
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
41184948.41%42690247.23%19837053.51%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
582403613184312152


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-10-2811New York Islanders4Carolina Hurricanes2WSommaire du Match
2 - 2020-10-2918New York Islanders4Buffalo Sabres8LSommaire du Match
4 - 2020-10-3131New Jersey Devils2New York Islanders4WSommaire du Match
6 - 2020-11-0251Boston Bruins4New York Islanders3LXSommaire du Match
8 - 2020-11-0465New York Islanders0New Jersey Devils1LSommaire du Match
10 - 2020-11-0684Columbus Blue Jackets3New York Islanders2LSommaire du Match
12 - 2020-11-08100New York Islanders4Boston Bruins1WSommaire du Match
15 - 2020-11-11119New York Rangers2New York Islanders4WR2Sommaire du Match
17 - 2020-11-13134New York Islanders1Tampa Bay Lightning3LSommaire du Match
18 - 2020-11-14149New York Islanders4New Jersey Devils3WSommaire du Match
20 - 2020-11-16161Ottawa Senators1New York Islanders5WSommaire du Match
22 - 2020-11-18185New York Islanders1Florida Panthers3LSommaire du Match
24 - 2020-11-20198Montreal Canadiens3New York Islanders0LSommaire du Match
26 - 2020-11-22217Washington Capitals3New York Islanders2LXXSommaire du Match
28 - 2020-11-24232New York Islanders0Columbus Blue Jackets3LSommaire du Match
30 - 2020-11-26248Philadelphia Flyers4New York Islanders2LSommaire du Match
32 - 2020-11-28267New York Islanders3Calgary Flames5LSommaire du Match
34 - 2020-11-30282New York Islanders5New Jersey Devils0WSommaire du Match
35 - 2020-12-01291Boston Bruins6New York Islanders4LSommaire du Match
41 - 2020-12-07316Los Angeles Kings6New York Islanders1LSommaire du Match
44 - 2020-12-10339Montreal Canadiens4New York Islanders3LXSommaire du Match
45 - 2020-12-11357New York Islanders1Edmonton Oilers3LSommaire du Match
48 - 2020-12-14374Nashville Predators2New York Islanders6WSommaire du Match
49 - 2020-12-15390New York Islanders2Detroit Red Wings4LSommaire du Match
51 - 2020-12-17406New York Islanders1Dallas Stars3LSommaire du Match
52 - 2020-12-18418St. Louis Blues-New York Islanders-
55 - 2020-12-21433New York Islanders-St. Louis Blues-
58 - 2020-12-24451Columbus Blue Jackets-New York Islanders-
59 - 2020-12-25472Chicago Blackhawks-New York Islanders-
65 - 2020-12-31504New York Rangers-New York Islanders-
67 - 2021-01-02519New York Islanders-New York Rangers-
70 - 2021-01-05537Ottawa Senators-New York Islanders-
71 - 2021-01-06558New York Islanders-Toronto Maple Leafs-
73 - 2021-01-08569Winnipeg Jets-New York Islanders-
77 - 2021-01-12594Colorado Avalanche-New York Islanders-
79 - 2021-01-14612New York Islanders-Anaheim Ducks-
82 - 2021-01-17628Buffalo Sabres-New York Islanders-
86 - 2021-01-21650New York Islanders-Quebec Nordiques-
87 - 2021-01-22662Florida Panthers-New York Islanders-
90 - 2021-01-25686New York Islanders-Arizona Coyotes-
92 - 2021-01-27695Florida Panthers-New York Islanders-
94 - 2021-01-29710New York Islanders-Buffalo Sabres-
96 - 2021-01-31729Vancouver Canucks-New York Islanders-
101 - 2021-02-05758Toronto Maple Leafs-New York Islanders-
103 - 2021-02-07778New York Islanders-New York Rangers-
105 - 2021-02-09788New York Islanders-Carolina Hurricanes-
107 - 2021-02-11794New Jersey Devils-New York Islanders-
110 - 2021-02-14815New York Islanders-Washington Capitals-
113 - 2021-02-17827Seattle Kraken-New York Islanders-
116 - 2021-02-20844New York Islanders-Ottawa Senators-
117 - 2021-02-21855New York Islanders-Montreal Canadiens-
119 - 2021-02-23867Buffalo Sabres-New York Islanders-
123 - 2021-02-27893New York Islanders-Columbus Blue Jackets-
124 - 2021-02-28899New Jersey Devils-New York Islanders-
128 - 2021-03-04927Philadelphia Flyers-New York Islanders-
130 - 2021-03-06945New York Islanders-Chicago Blackhawks-
133 - 2021-03-09959Minnesota Wild-New York Islanders-
137 - 2021-03-13981New York Islanders-Toronto Maple Leafs-
138 - 2021-03-14992Washington Capitals-New York Islanders-
141 - 2021-03-171013New York Islanders-Buffalo Sabres-
143 - 2021-03-191024Pittsburgh Penguins-New York Islanders-
146 - 2021-03-221049New York Islanders-Tampa Bay Lightning-
147 - 2021-03-231060Carolina Hurricanes-New York Islanders-
150 - 2021-03-261082New York Islanders-Washington Capitals-
151 - 2021-03-271091Quebec Nordiques-New York Islanders-
153 - 2021-03-291102New York Islanders-San Jose Sharks-
155 - 2021-03-311123Carolina Hurricanes-New York Islanders-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
156 - 2021-04-011129New York Islanders-Vegas Golden Knights-
160 - 2021-04-051155New York Islanders-Boston Bruins-
162 - 2021-04-071163Pittsburgh Penguins-New York Islanders-
166 - 2021-04-111184New York Islanders-Carolina Hurricanes-
168 - 2021-04-131193Quebec Nordiques-New York Islanders-
171 - 2021-04-161203New York Islanders-Philadelphia Flyers-
173 - 2021-04-181216New York Islanders-Pittsburgh Penguins-
174 - 2021-04-191227New York Islanders-Philadelphia Flyers-
175 - 2021-04-201236New York Islanders-Pittsburgh Penguins-
177 - 2021-04-221252Tampa Bay Lightning-New York Islanders-
182 - 2021-04-271282Tampa Bay Lightning-New York Islanders-
183 - 2021-04-281289New York Islanders-New York Rangers-
185 - 2021-04-301299New York Rangers-New York Islanders-
187 - 2021-05-021310New York Islanders-Ottawa Senators-
189 - 2021-05-041323Ottawa Senators-New York Islanders-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna50004250200040001000
Prix des Billets150603320186
Assistance60,00051,00024,00048,00012,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
29 16250 - 100.00% 1,337,000$16,044,000$16250200

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
21,505,614$ 80,890,000$ 80,890,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
416,959$ 20,915,164$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
38,773,000$ 143 427,268$ 61,099,324$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées Compte Bancaire Actuel Compte Bancaire Projeté
63,912,208$ 71,568,424$ 48,633,190$
Cap Salarial de la Saison ÉstiméCap Salarial DisponibleCap Salarial MaximumAu dessus du Plafond Salarial Minimum
80,540,301$ 1,459,749$ 82,000,050$ 17,040,301$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
*Brett SeneyAGE:24PO:70OV:0
Andrej NestrasilAGE:29PO:70OV:0
David PerronAGE:32PO:70OV:0
*Jonathan DahlenAGE:23PO:70OV:0
Vince HinostrozaAGE:26PO:70OV:0
Lars EllerAGE:31PO:70OV:0
*Brandon GignacAGE:23PO:70OV:0
Kirill KabanovAGE:28PO:70OV:0
*Dominik KubalikAGE:25PO:70OV:0
Michael FrolikAGE:32PO:70OV:0
Nick CousinsAGE:27PO:70OV:0
Gabriel BourqueAGE:30PO:70OV:0
Ondrej PalatAGE:29PO:70OV:0
Dylan StromeAGE:23PO:70OV:0
Joel Eriksson EkAGE:23PO:70OV:0
*Christopher ClappertonAGE:26PO:70OV:0
*Nikita ScherbakAGE:25PO:70OV:0
*Kerby RychelAGE:26PO:70OV:0
*Kevin KlimaAGE:23PO:70OV:0
*Brett SeneyAGE:24PO:70OV:0
Andrej NestrasilAGE:29PO:70OV:0
David KrejciAGE:34PO:70OV:0
*Jonathan DahlenAGE:23PO:70OV:0
Vince HinostrozaAGE:26PO:70OV:0
Lars EllerAGE:31PO:70OV:0
*Brandon GignacAGE:23PO:70OV:0
Michael FrolikAGE:32PO:70OV:0
Nick CousinsAGE:27PO:70OV:0
Sean MaloneAGE:25PO:70OV:0
Dane FoxAGE:27PO:70OV:0
Dylan StromeAGE:23PO:70OV:0
Tyson BaillieAGE:25PO:70OV:0
Joel Eriksson EkAGE:23PO:70OV:0
*Kevin KlimaAGE:23PO:70OV:0
*Luke KuninAGE:23PO:70OV:0
*Jordan BelleriveAGE:21PO:70OV:0
Andrej NestrasilAGE:29PO:70OV:0
David KrejciAGE:34PO:70OV:0
David PerronAGE:32PO:70OV:0
Vince HinostrozaAGE:26PO:70OV:0
Lars EllerAGE:31PO:70OV:0
Kirill KabanovAGE:28PO:70OV:0
*Dominik KubalikAGE:25PO:70OV:0
Michael FrolikAGE:32PO:70OV:0
Nick CousinsAGE:27PO:70OV:0
Gabriel BourqueAGE:30PO:70OV:0
Mark StoneAGE:28PO:70OV:0
Tom WilsonAGE:26PO:70OV:0
Tyson BaillieAGE:25PO:70OV:0
Joel Eriksson EkAGE:23PO:70OV:0
*Nikita ScherbakAGE:25PO:70OV:0
*Kerby RychelAGE:26PO:70OV:0
*Julien GauthierAGE:23PO:70OV:0
*Kelly KlimaAGE:23PO:70OV:0
*Luke KuninAGE:23PO:70OV:0

Défense #1Défense #2Gardien
*Jérémy RoyAGE:23PO:70OV:0
Robbie RussoAGE:27PO:70OV:0
*Alexandre CarrierAGE:24PO:70OV:0
Jyrki JokipakkaAGE:29PO:70OV:0
*Julius BergmanAGE:25PO:70OV:0
Yannick WeberAGE:32PO:70OV:0
Erik GudbransonAGE:28PO:70OV:0
Brian DumoulinAGE:29PO:70OV:0
Joakim RyanAGE:27PO:70OV:0
Seth JonesAGE:26PO:70OV:0
Scott MayfieldAGE:28PO:70OV:0
Brenden KichtonAGE:28PO:70OV:0
Noah JuulsenAGE:23PO:70OV:0
Cale MakarAGE:22PO:70OV:0
*Colton WhiteAGE:23PO:70OV:0
Vince DunnAGE:24PO:70OV:0
*Matthew VillaltaAGE:21PO:70OV:0
Ben BishopAGE:34PO:70OV:0
Jared CoreauAGE:29PO:70OV:0
*Jake PatersonAGE:26PO:70OV:0
*Shamil ShmakovAGE:21PO:70OV:0

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Alexis LafrenièreNew York Islanders20201
Andong SongNew York Islanders2015107
Benoit-Olivier GroulxNew York Islanders201856
Cade WebberNew York Islanders2019100
Cole PerfettiNew York Islanders20206
Dmitri SemykinNew York Islanders2018145
Dylan PetersonNew York Islanders202080
Grant MismashNew York Islanders201766
Jachym KondelikNew York Islanders2018112
Jacob Bernard-DockerNew York Islanders201845
Jan BednarNew York Islanders202076
Jasper WeatherbyNew York Islanders2018109
Jonas RondbjergNew York Islanders201775
Kasper KotkansaloNew York Islanders201796
Olivier RodrigueNew York Islanders201849
Patrick GuzzoNew York Islanders2020117
Samuel HoudeNew York Islanders2018117
Shawn BoudriasNew York Islanders2018108
Thimo NicklNew York Islanders202089
Tristan LanganNew York Islanders2019112
Vili SaarijarviNew York Islanders2015106
Xavier BouchardNew York Islanders2018146
Yegor SpiridonovNew York Islanders2019115

Choix au Repêchage

Année R1R2R3R4R5
2021NYI VEG
2022NYI NYI TBL NYI
2023NYI NYI NYI NYI
2024NYI NYI NYI NYI NYI
2025NYI NYI NYI NYI NYI




La base de donnée des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.




[2021-01-13 05:26:38] - Seth Jones has been selected as assistant for New York Islanders.
[2021-01-13 05:26:38] - Unknown Player is no longer as assistant for New York Islanders.
[2021-01-13 05:26:38] - Dylan Strome has been selected as assistant for New York Islanders.
[2021-01-13 05:26:38] - Unknown Player is no longer as assistant for New York Islanders.
[2021-01-13 05:26:38] - David Krejci has been selected as captain for New York Islanders.
[2021-01-13 05:26:38] - Unknown Player is no longer captain for New York Islanders.
[2020-12-15 05:11:36] - TRADE : From New York Islanders to Seattle Kraken : Y:2022-RND:4-NYI.
[2020-12-15 05:11:36] - TRADE : From Seattle Kraken to New York Islanders : Matthew Villalta.
[2020-12-07 06:00:27] - TRADE : From New York Islanders to Tampa Bay Lightning : Patrick Holland, Logan Hutsko (P), Y:2021-RND:2-MIN, Y:2021-RND:2-NYI.
[2020-12-07 06:00:27] - TRADE : From Tampa Bay Lightning to New York Islanders : Brian Dumoulin, Y:2022-RND:4-TBL.
[2020-11-22 06:38:04] - TRADE : From New York Islanders to Minnesota Wild : Victor Olofsson.
[2020-10-30 10:24:45] - Mike Smith was released.
[2020-10-30 10:24:45] - New York Islanders paid 0 $ to release Mike Smith.



[2021-01-14 05:00:03] David Krejci from New York Islanders is back from Back Spasms Injury.
[2021-01-13 05:26:38] Successfully loaded New York Islanders lines done with STHS Client - 3.2.6.6
[2021-01-11 05:04:00] Auto Lines Partial Function has been run for Bridgeport Sound Tigers.
[2021-01-11 05:04:00] Bridgeport Sound Tigers (New York Islanders) lines errors : Normal line # 4 C is empty. OT Forward #5 is empty.
[2021-01-11 05:04:00] Auto Lines Partial Function has been run for New York Islanders.
[2021-01-11 05:04:00] New York Islanders lines errors : Normal line # 1 C is empty. Normal line # 2 LW is empty. Unknown Player is used twice in normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 2. PP line 1 RW is empty. PK line 1 C is empty. 4 vs 4 line 1 LW is empty. PK3 line 1 forward is empty. PP line 2 C is empty. Unknown Player is used twice in PP lines 1 and 2. LastMinDef line RW is empty. OT Forward #5 is empty.
[2021-01-11 05:04:00] Auto Roster Partial Function has been run for New York Islanders.
[2021-01-11 05:04:00] New York Islanders roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2021-01-10 05:18:26] Game 357 - David Krejci from New York Islanders is injured (Back Spasms) and is out for 1 week.
[2021-01-10 04:42:13] Successfully loaded New York Islanders lines done with STHS Client - 3.2.6.6
[2020-12-30 06:51:43] Successfully loaded New York Islanders lines done with STHS Client - 3.2.0.5
[2020-12-28 04:59:44] Joel Eriksson Ek from Bridgeport Sound Tigers is back from Broken Bone (Right Leg) Injury.
[2020-12-27 05:21:41] Noah Juulsen from Bridgeport Sound Tigers is back from Left Knee Injury.
[2020-12-27 05:21:40] Game 230 - Noah Juulsen from Bridgeport Sound Tigers is injured (Left Knee) and is out for 3 days.
[2020-12-24 05:14:41] Last 7 Days Farm Star : 1 - Christopher Clapperton of Bridgeport Sound Tigers (7-1-8) / 2 - Travis Dermott of Albany Devils (2-5-7) / 3 - Denis Guryanov of Connecticut Whale (3-2-5)
[2020-12-23 05:17:47] Cale Makar from Bridgeport Sound Tigers is back from Lower Body Injury.



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT