Connexion

Islanders
GP: 50 | W: 27 | L: 17 | OTL: 6 | P: 60
GF: 177 | GA: 176 | PP%: 20.67% | PK%: 76.19%
DG: Simon Godin | Morale : 53 | Moyenne d’équipe : 63
Prochains matchs #793 vs Admirals
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Centre de jeu
Islanders
27-17-6, 60pts
1
FINAL
4 Firebirds
30-19-1, 61pts
Team Stats
W1SéquenceL2
13-8-3Fiche domicile17-7-1
14-9-3Fiche domicile13-12-0
6-4-0Derniers 10 matchs5-5-0
3.54Buts par match 3.50
3.52Buts contre par match 3.18
20.67%Pourcentage en avantage numérique25.47%
76.19%Pourcentage en désavantage numérique80.42%
Americans
24-22-3, 51pts
2
FINAL
4 Islanders
27-17-6, 60pts
Team Stats
OTW1SéquenceW1
12-11-1Fiche domicile13-8-3
12-11-2Fiche domicile14-9-3
4-6-0Derniers 10 matchs6-4-0
3.31Buts par match 3.54
3.24Buts contre par match 3.52
17.57%Pourcentage en avantage numérique20.67%
77.84%Pourcentage en désavantage numérique76.19%
Islanders
27-17-6, 60pts
2023-12-10
Admirals
20-27-3, 43pts
Statistiques d’équipe
W1SéquenceW1
13-8-3Fiche domicile13-11-0
14-9-3Fiche visiteur7-16-3
6-4-010 derniers matchs5-5-0
3.54Buts par match 3.08
3.52Buts contre par match 3.08
20.67%Pourcentage en avantage numérique17.20%
76.19%Pourcentage en désavantage numérique77.46%
Wolves
20-25-5, 45pts
2023-12-11
Islanders
27-17-6, 60pts
Statistiques d’équipe
L1SéquenceW1
11-13-1Fiche domicile13-8-3
9-12-4Fiche visiteur14-9-3
4-4-210 derniers matchs6-4-0
2.46Buts par match 3.54
3.10Buts contre par match 3.54
20.81%Pourcentage en avantage numérique20.67%
80.61%Pourcentage en désavantage numérique76.19%
SenatorsF
24-21-4, 52pts
2023-12-14
Islanders
27-17-6, 60pts
Statistiques d’équipe
L2SéquenceW1
12-10-3Fiche domicile13-8-3
12-11-1Fiche visiteur14-9-3
6-2-210 derniers matchs6-4-0
2.94Buts par match 3.54
2.90Buts contre par match 3.54
20.66%Pourcentage en avantage numérique20.67%
81.13%Pourcentage en désavantage numérique76.19%
Meneurs d'équipe
Buts
Melker Karlsson
20
Passes
Nikita Nesterov
28
Points
Melker Karlsson
42
Plus/Moins
Brandon Davidson
12
Victoires
Thomas McCollum
20
Pourcentage d’arrêts
Thomas McCollum
0.894

Statistiques d’équipe
Buts pour
177
3.54 GFG
Tirs pour
1514
30.28 Avg
Pourcentage en avantage numérique
20.7%
31 GF
Début de zone offensive
40.0%
Buts contre
176
3.52 GAA
Tirs contre
1539
30.78 Avg
Pourcentage en désavantage numérique
76.2%%
35 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralSimon Godin
EntraîneurDave Allison
DivisionDivision Atlantique
ConférenceConference 1
CapitaineMelker Karlsson
Assistant #1Kerby Rychel
Assistant #2Nikita Nesterov


Informations de l’aréna

Capacité3,000
Assistance2,477
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 55
Espoirs19


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
1Rem PitlickX100.006645887470767673727664695557536654660261900,000$
2Matt MoulsonX99.0058379665716871676467666663818115296504021,250,000$
3Brett ConnollyX100.0064456472737270716270667163777450666503121,250,000$
4Kerby Rychel (A)X100.0075517871737276685969726862665654546502911,100,000$
5Melker Karlsson (C)X100.0061449571697079697167677566716547666503311,300,000$
6Josh Ho-SangX100.006245877267746671607165656164525766640271900,000$
7Joel KivirantaX100.0071459074677082706270677162594761686402721,100,000$
8Joel Teasdale (R)X100.006445907271707068667070646445456066630243750,000$
9Shane Bowers (R)X100.007245877269707066706767735445456044630243750,000$
10Troy BourkeX100.006142827466707368726666706459555454630291800,000$
11Christopher WilkieX100.006545777269747271736868736251486044630271750,000$
12Adam MusilX100.007148777273667169736364735551476057620261750,000$
13Joel HanleyX100.0066458773707374704568657363584846546503221,320,000$
14Nikita Nesterov (A)X100.0064518768707272734573626964685553616503021,200,000$
15Korbanian HolzerX100.006645927174718070456665726360483451640351900,000$
16Brandon DavidsonX100.006644906973707269456464706062485066630321900,000$
17Taylor AronsonX100.005239926467696666457059724564604166620311900,000$
18Brady Lyle (R)X100.006850767273707069456664695845456044620243750,000$
Rayé
1Jeremy GregoireX100.007767677269676465756468646355505723620281700,000$
2Linus WeissbachX100.006645807264707069596967706248466019620252750,000$
3Andrei KuzmenkoX100.005845837270686367606765636449486020610273800,000$
4Connor BunnamanX100.006845877271707266685961695554466020610252900,000$
5Radovan BondraX100.007153697075667067676566646049466020610261750,000$
6Paul BittnerX100.006645877273697063606363605750466020610271750,000$
7Brandon ManningX100.006649847072697469456765686265514349630331900,000$
8Kelly SummersX100.005945807270706064456560665950496020610271600,000$
9Griffin LuceX100.007251787273706859456160685746466020610252750,000$
10Matthew FinnX100.006042716871625068456459634952515420590291750,000$
MOYENNE D’ÉQUIPE99.96664683717070706859676569605752544463
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
1Thomas McCollum100.007577768177808279828278455042346403421,100,000$
2Nicola Riopel100.007372737476747574747381737236266303411,000,000$
Rayé
1Callum Booth100.00798468807670847070787745465024600262750,000$
MOYENNE D’ÉQUIPE100.0076787278767580747578795456432862
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Allison96847676999939CAN635100,000$


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
1Melker KarlssonIslanders (NYI)C50202242-84091041624210112.35%1188717.74491339120000043151.88%114100000.9516000204
2Rem PitlickIslanders (NYI)C4619224188049105112258616.96%1181817.8026814990000134151.14%100900001.0000000540
3Ryan McleodIslandersRW381524396402734115349813.04%366117.423692796000035153.19%4700001.1815000233
4Joel KivirantaIslanders (NYI)LW50141933136206344130549010.77%691918.384592212020251100153.16%7900000.7200112142
5Josh Ho-SangIslanders (NYI)RW50131932-4801845114378511.40%678615.7202202000000050.00%5600000.8100000202
6Brandon DavidsonIslanders (NYI)D508233112260683553175015.09%61100920.19369261200000108100%000000.6100000121
7Joel TeasdaleIslanders (NYI)LW5012183071805030103449111.65%688317.67371019127000071046.97%6600000.6826000222
8Nikita NesterovIslanders (NYI)D5022830-6833550335812333.45%59103420.6910132118000047100%000000.5801232112
9Brett ConnollyIslanders (NYI)RW5072128910047368034558.75%658111.644711301230110440043.27%17100000.9613000121
10Kerby RychelIslanders (NYI)LW47151328-358105629103237014.56%572315.39101250000191145.31%6400000.7700002031
11Joel HanleyIslanders (NYI)D3441923620032334211349.52%4571220.950221758000162100%000000.6500000020
12Korbanian HolzerIslanders (NYI)D4631821-235543314719236.38%6192220.040111031011096000%000000.4600000002
13Taylor AronsonIslanders (NYI)D503161910100243626112111.54%6495019.0111210280220118100%000000.4000000002
14Brandon ManningIslanders (NYI)D3661117016032284072815.00%4071719.923362465000029200%000000.4700000110
15Shane BowersIslanders (NYI)C4961016-214045826629569.09%567813.850004140002901146.59%86500000.4700000122
16Troy BourkeIslanders (NYI)RW4051015-22025307417486.76%858114.53000000001300242.05%8800000.5223000101
17Brady LyleIslanders (NYI)D345914-723533265117279.80%4070820.850112185000044200%000000.3900100001
18Christopher WilkieIslanders (NYI)C467714220214750133614.00%94529.832134190001870049.32%58400000.6201000002
19Adam MusilIslanders (NYI)LW44851336014224492218.18%53708.42000000002942065.63%3200000.7000000001
20Matt MoulsonIslanders (NYI)RW223693201143612158.33%237116.90000530000000043.43%9900000.4801000100
21Jeremy GregoireIslanders (NYI)C902211010144240%0444.9100000000010040.00%5500000.9100101000
22Linus WeissbachIslanders (NYI)LW9000-120624240%0485.3900003000000054.55%110000000000000
Statistiques d’équipe totales ou en moyenne90017532249733397857148501514471107711.56%4531486316.51315788306127124612101525849.39%436700000.67726547212629
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
1Thomas McCollumIslanders (NYI)4220830.8943.201893801019500210.733153217101
2Nicola RiopelIslanders (NYI)277930.8813.70113521705880100.545111832200
Statistiques d’équipe totales ou en moyenne69271760.8893.3930281011711538031265049301


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam MusilIslanders (NYI)LW261997-03-26No203 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Andrei KuzmenkoIslanders (NYI)RW271996-02-04No202 Lbs5 ft11NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------Lien
Brady LyleIslanders (NYI)D241999-06-06Yes211 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Brandon DavidsonIslanders (NYI)D321991-08-21No204 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Brandon ManningIslanders (NYI)D331990-06-04No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Brett ConnollyIslanders (NYI)RW311992-05-02 12:01:24No198 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Callum BoothIslanders (NYI)G261997-05-21No195 Lbs6 ft4NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Christopher WilkieIslanders (NYI)C271996-07-10No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Connor BunnamanIslanders (NYI)LW251998-04-16No207 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Griffin LuceIslanders (NYI)D251998-03-10No216 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Jeremy GregoireIslanders (NYI)C281995-09-05No193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Joel HanleyIslanders (NYI)D321991-06-08No190 Lbs5 ft11NoNoN/ANoYes2Pro & Farm1,320,000$0$0$No1,320,000$--------No--------Lien
Joel KivirantaIslanders (NYI)LW271996-03-26No175 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Joel TeasdaleIslanders (NYI)LW241999-03-11Yes212 Lbs6 ft0NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Josh Ho-SangIslanders (NYI)RW271996-01-22No173 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Kelly SummersIslanders (NYI)D271996-04-29No191 Lbs6 ft2NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------Lien
Kerby RychelIslanders (NYI)LW291994-10-07No213 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,100,000$0$0$No------------------Lien
Korbanian HolzerIslanders (NYI)D351988-02-16No218 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Linus WeissbachIslanders (NYI)LW251998-04-19No161 Lbs5 ft8NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Matt MoulsonIslanders (NYI)RW401983-11-01No203 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Matthew FinnIslanders (NYI)D291994-02-24No199 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Melker KarlssonIslanders (NYI)C331990-07-18No181 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Nicola RiopelIslanders (NYI)G341989-02-20No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Nikita NesterovIslanders (NYI)D301993-03-28No191 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Paul BittnerIslanders (NYI)LW271996-11-04No205 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Radovan BondraIslanders (NYI)RW261997-01-27No218 Lbs6 ft7NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Rem PitlickIslanders (NYI)C261997-04-02No196 Lbs5 ft11NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Shane BowersIslanders (NYI)C241999-07-30Yes186 Lbs6 ft2NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Taylor AronsonIslanders (NYI)D311991-12-30No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Thomas McCollumIslanders (NYI)G341989-12-07 00:01:24No220 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Troy BourkeIslanders (NYI)RW291994-03-30No170 Lbs5 ft10NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3128.81197 Lbs6 ft11.58905,484$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel TeasdaleRem PitlickMatt Moulson30023
2Kerby RychelMelker KarlssonJosh Ho-Sang30023
3Joel KivirantaShane BowersTroy Bourke28122
4Adam MusilChristopher WilkieBrett Connolly12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady LyleJoel Hanley34032
2Nikita NesterovKorbanian Holzer34032
3Taylor AronsonBrandon Davidson27032
4Taylor AronsonBrandon Davidson5032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel TeasdaleRem PitlickKerby Rychel50014
2Joel KivirantaMelker KarlssonBrett Connolly50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady LyleNikita Nesterov50113
2Brandon DavidsonJoel Hanley50113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christopher WilkieKerby Rychel50140
2Shane BowersJoel Kiviranta50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taylor AronsonKorbanian Holzer50140
2Brady LyleJoel Hanley50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christopher Wilkie50050Taylor AronsonKorbanian Holzer50050
2Melker Karlsson50050Brady LyleJoel Hanley50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Christopher WilkieJosh Ho-Sang50122
2Shane BowersAdam Musil50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taylor AronsonBrandon Davidson50122
2Nikita NesterovKorbanian Holzer50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel TeasdaleRem PitlickKerby RychelBrady LyleNikita Nesterov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam MusilMelker KarlssonChristopher WilkieJoel HanleyKorbanian Holzer
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Connolly, Shane Bowers, Adam MusilKerby Rychel, Shane BowersBrett Connolly
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Taylor Aronson, Brandon Davidson, Nikita NesterovKorbanian HolzerNikita Nesterov, Brady Lyle
Tirs de pénalité
Joel Teasdale, Melker Karlsson, Matt Moulson, Troy Bourke, Brett Connolly
Gardien
#1 : Thomas McCollum, #2 : Nicola Riopel


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
1Admirals11000000303110000003030000000000021.00036901625359836470527501422374132150.00%10100.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
2Americans421000011516-12200000074320100001812-450.6251527420062535981274705275014212230366014428.57%13376.92%0888174850.80%840174848.05%42987149.25%11888181187374656325
3Barracuda11000000532000000000001100000053221.000510150062535982747052750142335611000%3166.67%0888174850.80%840174848.05%42987149.25%11888181187374656325
4Bears512000021720-32010000179-2311000011011-140.4001731480062535981444705275014217467506923313.04%20385.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
5BruinsF210001006601000010023-11100000043130.750611170062535986947052750142752523487228.57%9188.89%0888174850.80%840174848.05%42987149.25%11888181187374656325
6Canucks1010000034-11010000034-10000000000000.00035800625359829470527501424771612400.00%3166.67%0888174850.80%840174848.05%42987149.25%11888181187374656325
7Checkers42001010171342100100075221000010108281.000173047006253598127470527501421232530628112.50%11372.73%0888174850.80%840174848.05%42987149.25%11888181187374656325
8Comets32100000101001010000035-22200000075240.6671018280062535989347052750142803231449111.11%12466.67%0888174850.80%840174848.05%42987149.25%11888181187374656325
9Condors1010000014-3000000000001010000014-300.0001230062535982847052750142316620400.00%30100.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
10Crunch312000001213-1211000007701010000056-120.3331223351062535989747052750142872010476116.67%50100.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
11Eagles1010000026-4000000000001010000026-400.000246006253598224705275014240154144250.00%2150.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
12Firebirds21100000651000000000002110000065120.50061117006253598544705275014257122123400.00%7357.14%0888174850.80%840174848.05%42987149.25%11888181187374656325
13Griffins1010000018-7000000000001010000018-700.000123006253598324705275014233111018200.00%5260.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
14Gulls11000000523110000005230000000000021.00059140062535983747052750142164996233.33%20100.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
15Icehogs11000000624000000000001100000062421.000611170062535982647052750142331129200.00%10100.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
16Iowa Wild1010000014-31010000014-30000000000000.0001230062535983047052750142261022175120.00%10100.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
17Marlies2110000079-21010000036-31100000043120.50071219006253598474705275014265256354125.00%3233.33%0888174850.80%840174848.05%42987149.25%11888181187374656325
18Monsters1000010045-1000000000001000010045-110.5004711006253598304705275014229104143133.33%20100.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
19Moose20000011101001000000156-11000001054130.7501018280062535986347052750142751511316233.33%330.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
20PenguinsF20200000712-50000000000020200000712-500.000712190062535985747052750142732516266116.67%8275.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
21Phantoms330000001046110000005232200000052361.0001019290062535989947052750142682116466233.33%8187.50%0888174850.80%840174848.05%42987149.25%11888181187374656325
22Reign11000000422110000004220000000000021.00048120062535983147052750142261112113133.33%5180.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
23SenatorsF11000000431110000004310000000000021.0004711006253598354705275014228122163133.33%30100.00%1888174850.80%840174848.05%42987149.25%11888181187374656325
24Silver Knights11000000523110000005230000000000021.000581300625359840470527501422754206350.00%20100.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
25StarsF11000000541110000005410000000000021.000591400625359825470527501423910874125.00%4175.00%1888174850.80%840174848.05%42987149.25%11888181187374656325
26Thunderbirds1010000024-21010000024-20000000000000.000246006253598204705275014232121510300.00%4250.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
27Wolf Pack21100000642211000006420000000000020.5006111700625359858470527501425512817400.00%4175.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
28Wolves11000000312000000000001100000031221.0003580062535983147052750142228615200.00%30100.00%0888174850.80%840174848.05%42987149.25%11888181187374656325
Total502417012241771761241280110284768261290012293100-7600.60017732249911625359815144705275014215394534077141503120.67%1473576.19%2888174850.80%840174848.05%42987149.25%11888181187374656325
_Since Last GM Reset502417012241771761241280110284768261290012293100-7600.60017732249911625359815144705275014215394534077141503120.67%1473576.19%2888174850.80%840174848.05%42987149.25%11888181187374656325
_Vs Conference36171101124130126416750110256542201060002274722450.62513023536510625359811014705275014211043292855291021918.63%1092676.15%1888174850.80%840174848.05%42987149.25%11888181187374656325
_Vs Division1775000006268-69220000030282853000003240-8140.4126211217410625359853447052750142533148136276441022.73%491177.55%1888174850.80%840174848.05%42987149.25%11888181187374656325

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5060W11773224991514153945340771411
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5024171224177176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2412811028476
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
26129012293100
Derniers 10 matchs
WLOTWOTL SOWSOL
540010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1503120.67%1473576.19%2
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
470527501426253598
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
888174850.80%840174848.05%42987149.25%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11888181187374656325


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
2 - 2023-08-2614Phantoms2Islanders5BWSommaire du match
5 - 2023-08-2933Moose6Islanders5BLXXSommaire du match
6 - 2023-08-3046Islanders5Moose4AWXXSommaire du match
9 - 2023-09-0265Crunch5Islanders3BLSommaire du match
10 - 2023-09-0377Islanders5Bears6ALXXSommaire du match
13 - 2023-09-0697BruinsF3Islanders2BLXSommaire du match
15 - 2023-09-08111Islanders5Crunch6ALSommaire du match
17 - 2023-09-10126Islanders4PenguinsF7ALSommaire du match
19 - 2023-09-12140Americans2Islanders3BWSommaire du match
21 - 2023-09-14154Islanders6Americans7ALXXSommaire du match
23 - 2023-09-16174Wolf Pack3Islanders2BLSommaire du match
25 - 2023-09-18193Checkers2Islanders3BWXSommaire du match
27 - 2023-09-20203Islanders2Phantoms1AWSommaire du match
29 - 2023-09-22219Islanders3Wolves1AWSommaire du match
32 - 2023-09-25236SenatorsF3Islanders4BWSommaire du match
34 - 2023-09-27252Islanders5Firebirds1AWSommaire du match
36 - 2023-09-29266Islanders4Comets3AWSommaire du match
38 - 2023-10-01276Silver Knights2Islanders5BWSommaire du match
41 - 2023-10-04303Checkers3Islanders4BWSommaire du match
43 - 2023-10-06319Islanders3PenguinsF5ALSommaire du match
45 - 2023-10-08334Islanders6Icehogs2AWSommaire du match
46 - 2023-10-09341Thunderbirds4Islanders2BLSommaire du match
49 - 2023-10-12365Wolf Pack1Islanders4BWSommaire du match
51 - 2023-10-14379Islanders4Monsters5ALXSommaire du match
53 - 2023-10-16394Islanders2Americans5ALSommaire du match
54 - 2023-10-17403Iowa Wild4Islanders1BLSommaire du match
57 - 2023-10-20423Islanders2Bears1AWSommaire du match
58 - 2023-10-21434Bears6Islanders5BLXXSommaire du match
61 - 2023-10-24454Islanders4Marlies3AWSommaire du match
63 - 2023-10-26465Reign2Islanders4BWSommaire du match
66 - 2023-10-29482Islanders5Barracuda3AWSommaire du match
68 - 2023-10-31501Canucks4Islanders3BLSommaire du match
71 - 2023-11-03518Islanders3Phantoms1AWSommaire du match
73 - 2023-11-05529Islanders2Eagles6ALSommaire du match
74 - 2023-11-06539Marlies6Islanders3BLSommaire du match
77 - 2023-11-09556Islanders4BruinsF3AWSommaire du match
79 - 2023-11-11570Islanders1Griffins8ALSommaire du match
80 - 2023-11-12576Crunch2Islanders4BWSommaire du match
82 - 2023-11-14601Admirals0Islanders3BWSommaire du match
84 - 2023-11-16616Islanders1Condors4ALSommaire du match
86 - 2023-11-18632Bears3Islanders2BLSommaire du match
89 - 2023-11-21651Islanders3Bears4ALSommaire du match
91 - 2023-11-23663Gulls2Islanders5BWSommaire du match
93 - 2023-11-25678Islanders3Comets2AWSommaire du match
95 - 2023-11-27696StarsF4Islanders5BWSommaire du match
97 - 2023-11-29712Islanders4Checkers3AWSommaire du match
99 - 2023-12-01728Comets5Islanders3BLSommaire du match
101 - 2023-12-03745Islanders6Checkers5AWXXSommaire du match
103 - 2023-12-05757Islanders1Firebirds4ALSommaire du match
104 - 2023-12-06766Americans2Islanders4BWSommaire du match
108 - 2023-12-10793Islanders-Admirals-
109 - 2023-12-11798Wolves-Islanders-
112 - 2023-12-14823SenatorsF-Islanders-
114 - 2023-12-16842Islanders-BruinsF-
116 - 2023-12-18854Islanders-Moose-
117 - 2023-12-19862Condors-Islanders-
120 - 2023-12-22882Islanders-Wolves-
121 - 2023-12-23893Roadrunners-Islanders-
125 - 2023-12-27919Comets-Islanders-
128 - 2023-12-30944Islanders-Griffins-
129 - 2023-12-31954Islanders-Rocket-
131 - 2024-01-02962BruinsF-Islanders-
134 - 2024-01-05984Islanders-Rocket-
135 - 2024-01-06989Phantoms-Islanders-
138 - 2024-01-091013Islanders-Marlies-
139 - 2024-01-101022Firebirds-Islanders-
142 - 2024-01-131043Islanders-Crunch-
143 - 2024-01-141055Roadrunners-Islanders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
146 - 2024-01-171075Islanders-Wolf Pack-
148 - 2024-01-191085Moose-Islanders-
150 - 2024-01-211097Islanders-Wranglers-
152 - 2024-01-231115Firebirds-Islanders-
156 - 2024-01-271140Islanders-Wolf Pack-
158 - 2024-01-291151Wolves-Islanders-
161 - 2024-02-011175PenguinsF-Islanders-
163 - 2024-02-031191Islanders-SenatorsF-
165 - 2024-02-051204Islanders-Crunch-
166 - 2024-02-061216Marlies-Islanders-
170 - 2024-02-101239Rocket-Islanders-
176 - 2024-02-161272PenguinsF-Islanders-
177 - 2024-02-171282Islanders-SenatorsF-
181 - 2024-02-211308Rocket-Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance36,86522,587
Assistance PCT76.80%94.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 2477 - 82.57% 98,424$2,362,165$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,815,961$ 3,995,000$ 3,995,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,757,182$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,673,200$ 75 22,500$ 1,687,500$




Islanders 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

Islanders 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

Islanders 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

Islanders 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

Islanders 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