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Islanders
GP: 6 | W: 2 | L: 4
GF: 15 | GA: 22 | PP%: 13.51% | PK%: 78.79%
DG: Libre | Morale : 1 | Moyenne d’équipe : 66
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Centre de jeu
Rangers
4-6-0, 8pts
6
FINAL
3 Islanders
2-4-0, 4pts
Team Stats
L4StreakL2
3-2-0Home Record2-1-0
1-4-0Away Record0-3-0
4-6-0Last 10 Games2-2-2
3.10Buts par match 2.50
3.10Buts contre par match 3.67
19.61%Pourcentage en avantage numérique13.51%
84.21%Pourcentage en désavantage numérique78.79%
Islanders
2-4-0, 4pts
1
FINAL
5 Rangers
4-6-0, 8pts
Team Stats
L2StreakL4
2-1-0Home Record3-2-0
0-3-0Away Record1-4-0
2-2-2Last 10 Games4-6-0
2.50Buts par match 3.10
3.67Buts contre par match 3.10
13.51%Pourcentage en avantage numérique19.61%
78.79%Pourcentage en désavantage numérique84.21%
Meneurs d'équipe
Buts
Luke Kunin
3
Passes
Jared McCann
5
Points
Jared McCann
7
Plus/Moins
Eric Robinson
1
Victoires
Harri Sateri
2
Pourcentage d’arrêts
Harri Sateri
0.889

Statistiques d’équipe
Buts pour
15
2.50 GFG
Tirs pour
176
29.33 Avg
Pourcentage en avantage numérique
13.5%
5 GF
Début de zone offensive
38.7%
Buts contre
22
3.67 GAA
Tirs contre
174
29.00 Avg
Pourcentage en désavantage numérique
78.8%%
7 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralLibre
EntraîneurDallas Eakins
DivisionMétropolitaine
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison2,850


Informations de la formation

Équipe Pro35
Équipe Mineure19
Limite contact 54 / 60
Espoirs38


Historique d'équipe

Saison actuelle2-4
Historique38-31-14 (0.458%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2-4
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
1Jared McCann (R)X100.0077439375826787848588817576757573667502733,000,000$
2Luke Kunin (R)X100.0074458974839383857683777673727278647502522,000,000$
3Blake ColemanX100.0079458177827091706275738545676975747203131,500,000$
4Casey Mittelstadt (R)X100.007541917683728167817671717561617154690243900,000$
5Eric Robinson (R)X100.007645977383629065447470662574726759680283800,000$
6Tanner Kero (R)X100.007542947383577863726460806681756240670303700,000$
7Alexander Nylander (R)X100.005130996975827872657167617368668364660251575,000$
8Juho Lammikko (R)X100.007344927183577860727168642574706451650273600,000$
9Sam Carrick (R)X100.007545427282637468797569652559596844650313600,000$
10Riley Barber (R)X100.007573806673686868506361656978736846640291575,000$
11Darren Archibald (R)X100.005977636478475673466865745159583115620331575,000$
12Saku Maenalanen (R)X100.006635706477596766526159695758575015610292575,000$
13Adam Fox (R)X100.007541917881919375258875812569736961760251925,000$
14Justin Holl (R)X100.0080468266839092683076597852827552597303132,000,000$
15Nick Jensen (R)X100.0062379766738488683076548845897836587203221,500,000$
16Maxime Lajoie (R)X100.007372757172797961306967715272695361680253700,000$
17Markus Nutivaara (R)X100.005926996774788166307260735279744366680291575,000$
18Adam Boqvist (R)X100.007342877482707170257570662566686067680221894,167$
Rayé
1Eeli Tolvanen (R)X100.007445967784738174307577642568717162700243900,000$
2Andrew Miller (R)X100.007275606771636770597665686383795718660343575,000$
3Mario Kempe (R)X100.006829797071677561715855705379653618620343575,000$
4Christopher DiDomenico (R)X100.005543727370559960515754645181672919610343575,000$
5Cole Bardreau (R)X100.007266876366616163793939666455556519550291750,000$
6Kristian Reichel (R)X100.007365906765596056703838625544446019530253775,000$
7Mason Shaw (R)X100.006464655864555364804242595944446119520243750,000$
8Oliver Kylington (R)X100.007341997382616371257468692556565520660263600,000$
9Josh Jacobs (R)X100.006638966475827367306562725071687017660273600,000$
10Calen Addison (R)X100.007166807584687170257269624962646017660232795,000$
11Johnathan Kovacevic (R)X100.007878786378606253253434633944445520570253766,667$
12Cam Dineen (R)X100.007466936666616355253333624644445720560253750,000$
13Grant Hutton (R)X100.007877816577596347253131623744445119560273775,000$
MOYENNE D’ÉQUIPE100.00715184707768756650656069496664594065
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
1Harri Sateri (R)100.00777792788299919090755186773862830331800,000$
2Zach Fucale (R)100.00675265747575778180743044446935680283750,000$
Rayé
1Spencer Martin (R)100.00675974807370656867725665598127670281575,000$
2Connor Ingram (R)100.00505265775455556054493044445119550263733,333$
MOYENNE D’ÉQUIPE100.0065607477717572757368426056603668
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins86667479847870USA553900,000$


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
1Jared McCannIslanders (NYI)C6257-1115132326397.69%413522.622246340002250051.78%19753001.0300001100
2Casey MittelstadtIslanders (NYI)C62350201314133315.38%510417.46011126000090051.19%8404000.9500000000
3Luke KuninIslanders (NYI)RW5325-160139266811.54%310521.172243300000111060.00%1032000.9400000010
4Connor BrownIslandersRW4303220611125725.00%17518.90000017000190050.00%211000.7900000010
5Alexander NylanderIslanders (NYI)LW6123-300561011010.00%37512.52000080001900100.00%141000.8000000000
6Eric Robinson Islanders (NYI)LW62131008881525.00%19315.54000219000021016.67%1200000.6400000100
7Nick JensenIslanders (NYI)D6022-3008168240.00%914624.45000129000025000.00%019000.2700000001
8Frank Vatrano IslandersLW4022-11201399770.00%18922.390224240001140033.33%321000.4500000000
9Adam FoxIslanders (NYI)D5022-2408137870.00%913426.81000134000025000.00%043000.3000000000
10Sam CarrickIslanders (NYI)C6022-220161312260.00%37111.88000010000110052.08%4832000.5600000001
11Tanner Kero Islanders (NYI)RW6011-255443010.00%36911.6100004000000050.00%201000.2900010000
12Eeli TolvanenIslanders (NYI)LW31010205361216.67%13812.88101210000000050.00%231000.5200000000
13Adam BoqvistIslanders (NYI)D610112061281512.50%612621.14000022000019000.00%033000.1600000000
14Riley BarberIslanders (NYI)RW6000-100443240.00%1447.4200000000000050.00%210000.00%00000000
15Andrew MillerIslanders (NYI)C1000000301150.00%01111.30000000000000100.00%500000.00%00000000
16Darren ArchibaldIslanders (NYI)LW3000-11210322040.00%0299.820000000004000.00%000000.00%00002000
17Blake ColemanIslanders (NYI)RW2000-360237450.00%04020.1100019000030080.00%520000.00%00000000
18Mario KempeIslanders (NYI)RW1000000200010.00%077.000000000000000.00%011000.00%00000000
19Juho LammikkoIslanders (NYI)C6000-200152220.00%0406.8200000000030050.00%1211000.00%00000000
20Maxime LajoieIslanders (NYI)D60001120695130.00%28614.430000200008000.00%012000.00%00000000
21Justin HollIslanders (NYI)D6000-5951595340.00%415726.17000136000125000.00%024000.00%00000000
22Markus NutivaaraIslanders (NYI)D6000-100211210.00%27412.380000000002000.00%011000.00%00000000
23Saku MaenalanenIslanders (NYI)LW2000000012100.00%0157.770000000000000.00%000000.00%00000000
24Josh JacobsIslanders (NYI)D1000-100000000.00%033.280000000000000.00%000000.00%00000000
25Calen AddisonIslanders (NYI)D1000020000010.00%01010.320000000000000.00%010000.00%00000000
Statistiques d’équipe totales ou en moyenne110152237-248925156175176561048.52%58178716.2557122231500062142051.69%3853940000.4100013222
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
1Harri SateriIslanders (NYI)52120.8893.12308001614466000.00%051010
2Andrew HammondIslanders10100.8006.0060006309000.00%010000
Statistiques d’équipe totales ou en moyenne62220.8743.5936800221747500061010


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 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
Adam BoqvistIslanders (NYI)D222000-08-15 12:54:58Yes181 Lbs6 ft0NoNoNo1Pro & Farm894,167$0$0$No
Adam FoxIslanders (NYI)D251998-02-17 12:57:24Yes181 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
Alexander NylanderIslanders (NYI)LW251998-03-02 09:06:12Yes192 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
Andrew MillerIslanders (NYI)C341988-09-18 05:11:13Yes184 Lbs5 ft10NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Blake ColemanIslanders (NYI)RW311991-11-28 09:08:43No207 Lbs5 ft11NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
Calen AddisonIslanders (NYI)D232000-04-11 13:43:21Yes181 Lbs5 ft11NoNoNo2Pro & Farm795,000$0$0$No795,000$
Cam DineenIslanders (NYI)D251998-06-19 05:40:06Yes183 Lbs5 ft11NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Casey MittelstadtIslanders (NYI)C241998-11-22 04:56:42Yes202 Lbs6 ft1NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Christopher DiDomenicoIslanders (NYI)RW341989-02-20 10:48:40Yes174 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Cole BardreauIslanders (NYI)C291993-07-22 03:48:42Yes190 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$No
Connor IngramIslanders (NYI)G261997-03-31 05:43:07Yes196 Lbs6 ft2NoNoNo3Pro & Farm733,333$0$0$No733,333$733,333$
Darren ArchibaldIslanders (NYI)LW331990-02-09 03:35:07Yes210 Lbs6 ft3NoNoNo1Pro & Farm575,000$0$0$No
Eeli TolvanenIslanders (NYI)LW241999-04-22 05:04:42Yes192 Lbs5 ft10NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Eric Robinson Islanders (NYI)LW281995-06-14 07:53:01Yes196 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Grant HuttonIslanders (NYI)D271995-07-25 05:45:14Yes207 Lbs6 ft4NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$
Harri SateriIslanders (NYI)G331989-12-29 07:21:10Yes205 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$No
Jared McCannIslanders (NYI)C271996-05-31 05:11:13Yes185 Lbs6 ft1NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$
Johnathan KovacevicIslanders (NYI)D251997-07-12 05:46:54Yes218 Lbs6 ft5NoNoNo3Pro & Farm766,667$0$0$No766,667$766,667$
Josh JacobsIslanders (NYI)D271996-02-15 05:06:57Yes200 Lbs6 ft2NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Juho LammikkoIslanders (NYI)C271996-01-29 04:59:04Yes203 Lbs6 ft3NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Justin HollIslanders (NYI)D311992-01-30 03:50:34Yes205 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Kristian ReichelIslanders (NYI)C251998-06-11 10:37:02Yes187 Lbs6 ft0NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$
Luke KuninIslanders (NYI)RW251997-12-04 05:15:56Yes195 Lbs6 ft0NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
Mario KempeIslanders (NYI)RW341988-09-19 05:08:42Yes185 Lbs6 ft0NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Markus NutivaaraIslanders (NYI)D291994-06-06 08:48:59Yes191 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
Mason ShawIslanders (NYI)C241998-11-03 05:50:26Yes183 Lbs5 ft10NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Maxime LajoieIslanders (NYI)D251997-11-05 07:38:27Yes183 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Nick JensenIslanders (NYI)D321990-09-21 04:18:15Yes194 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
Oliver KylingtonIslanders (NYI)D261997-05-19 11:11:13Yes183 Lbs6 ft2NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Riley BarberIslanders (NYI)RW291994-02-07 09:24:16Yes197 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
Saku MaenalanenIslanders (NYI)LW291994-05-29 05:02:00Yes207 Lbs6 ft4NoNoNo2Pro & Farm575,000$0$0$No575,000$
Sam CarrickIslanders (NYI)C311992-02-04 04:03:20Yes205 Lbs6 ft0NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Spencer MartinIslanders (NYI)G281995-06-08 05:53:37Yes213 Lbs6 ft3NoNoNo1Pro & Farm575,000$0$0$No
Tanner Kero Islanders (NYI)RW301992-07-24 19:58:52Yes181 Lbs6 ft0NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Zach FucaleIslanders (NYI)G281995-05-28 05:53:09Yes187 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3527.86194 Lbs6 ft12.37886,833$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric Robinson Jared McCannLuke Kunin35122
2Alexander NylanderCasey MittelstadtBlake Coleman35122
3Darren ArchibaldSam CarrickTanner Kero 25122
4Saku MaenalanenJuho LammikkoRiley Barber5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJustin Holl35122
2Nick JensenAdam Boqvist35122
3Markus NutivaaraMaxime Lajoie30122
4Adam FoxJustin Holl0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric Robinson Jared McCannLuke Kunin60122
2Alexander NylanderCasey MittelstadtBlake Coleman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJustin Holl60122
2Nick JensenAdam Boqvist40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jared McCannLuke Kunin60122
2Blake ColemanCasey Mittelstadt40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJustin Holl60122
2Nick JensenAdam Boqvist40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jared McCann60122Adam FoxJustin Holl60122
2Luke Kunin40122Nick JensenAdam Boqvist40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jared McCannLuke Kunin60122
2Blake ColemanCasey Mittelstadt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam FoxJustin Holl60122
2Nick JensenAdam Boqvist40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric Robinson Jared McCannLuke KuninAdam FoxJustin Holl
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric Robinson Jared McCannLuke KuninAdam FoxJustin Holl
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tanner Kero , Sam Carrick, Juho LammikkoTanner Kero , Sam CarrickJuho Lammikko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Markus Nutivaara, Maxime Lajoie, Nick JensenMarkus NutivaaraMaxime Lajoie, Nick Jensen
Tirs de pénalité
Jared McCann, Luke Kunin, Blake Coleman, Casey Mittelstadt, Eric Robinson
Gardien
#1 : Harri Sateri, #2 : Zach Fucale
Lignes d’attaque personnalisées en prolongation
Jared McCann, Luke Kunin, Blake Coleman, Casey Mittelstadt, Eric Robinson , Tanner Kero , Tanner Kero , Alexander Nylander, Sam Carrick, Juho Lammikko, Riley Barber
Lignes de défense personnalisées en prolongation
Adam Fox, Justin Holl, Nick Jensen, Adam Boqvist, Markus Nutivaara


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
1Rangers624000001522-73210000089-130300000713-640.3331522370045601765167562174588915637513.51%33778.79%07614951.01%7915451.30%448253.66%127671296111256
Total624000001522-73210000089-130300000713-640.3331522370045601765167562174588915637513.51%33778.79%07614951.01%7915451.30%448253.66%127671296111256
_Since Last GM Reset624000001522-73210000089-130300000713-640.3331522370045601765167562174588915637513.51%33778.79%07614951.01%7915451.30%448253.66%127671296111256
_Vs Conference624000001522-73210000089-130300000713-640.3331522370045601765167562174588915637513.51%33778.79%07614951.01%7915451.30%448253.66%127671296111256
_Vs Division624000001522-73210000089-130300000713-640.3331522370045601765167562174588915637513.51%33778.79%07614951.01%7915451.30%448253.66%127671296111256

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L2152237176174588915600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001522
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000089
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000713
Derniers 10 matchs
WLOTWOTL SOWSOL
220200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
37513.51%33778.79%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
51675624560
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
7614951.01%7915451.30%448253.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
127671296111256


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 - 2022-10-184Rangers2Islanders3BWSommaire du match
3 - 2022-10-2012Rangers1Islanders2BWSommaire du match
5 - 2022-10-2220Islanders3Rangers4ALXSommaire du match
7 - 2022-10-2428Islanders3Rangers4ALXSommaire du match
9 - 2022-10-2636Rangers6Islanders3BLSommaire du match
11 - 2022-10-2844Islanders1Rangers5ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 3000 - 100.00% 128,250$384,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,103,917$ 1,383,917$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Islanders Leaders statistiques (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
1Jared McCann773955943414421526914.50%37163821.28814223212386655.5411.15311
2Luke Kunin8232548621814313131810.06%33173821.2011122356213103354.0410.99410
3Eeli Tolvanen8236326822614111225813.95%37142817.4258132100015016.0010.9512
4Frank Vatrano 8231346509620012122613.72%34161519.70710173501137145.2200.80310
5Connor Brown78253964-18901162579.73%39147318.8979162010152140.2810.8712

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
1Harri Sateri663118110.9112.773659011691904774100.50026
2Zach Fucale105410.8873.185660030265142010.5008
3Spencer Martin132710.8644.126560045331182000.00%0
4Andrew Hammond20200.8374.711020084916000.00%0

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
Saison régulière
1782293106538252261-941141405413132134-241151701125120127-78925242467611561058218258779189785184255087260120892454518.37%2594483.01%41028198451.81%1013194052.22%660118855.56%1794104517557431441725
Total Saison régulière82293106538252261-941141405413132134-241151701125120127-78925242467611561058218258779189785184255087260120892454518.37%2594483.01%41028198451.81%1013194052.22%660118855.56%1794104517557431441725
Séries éliminatoires
17624000001522-73210000089-130300000713-641522370045601765167562174588915637513.51%33778.79%07614951.01%7915451.30%448253.66%127671296111256
Total Séries éliminatoires624000001522-73210000089-130300000713-641522370045601765167562174588915637513.51%33778.79%07614951.01%7915451.30%448253.66%127671296111256

Islanders Leaders statistiques (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
1Jared McCann6257-1111323267.69%413522.62224600020051.7801.0300
2Luke Kunin5325-161392611.54%310521.17224300001060.0000.9400
3Casey Mittelstadt62350213141315.38%510417.46011100000051.1900.9500
4Connor Brown4303226111225.00%17518.90000000010050.0000.7900
5Alexander Nylander6123-30561010.00%37512.520000000100100.0000.8000

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
1Harri Sateri52120.8893.12308001614466000.00%0
2Andrew Hammond10100.8006.0060006309000.00%0