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Islander
GP: 26 | W: 13 | L: 10 | OTL: 3 | P: 29
GF: 95 | GA: 94 | PP%: 23.71% | PK%: 75.00%
DG: Maxime Alain | Morale : 40 | Moyenne d’équipe : 64
Prochains matchs #313 vs Little Stars
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Centre de jeu
Islander
13-10-3, 29pts
7
FINAL
2 Marlies
13-9-2, 28pts
Team Stats
L1SéquenceL1
5-5-1Fiche domicile6-4-2
8-5-2Fiche domicile7-5-0
5-3-2Derniers 10 matchs5-4-1
3.65Buts par match 4.13
3.62Buts contre par match 4.17
23.71%Pourcentage en avantage numérique21.21%
75.00%Pourcentage en désavantage numérique73.12%
Islander
13-10-3, 29pts
3
FINAL
5 Comets
14-8-2, 30pts
Team Stats
L1SéquenceW2
5-5-1Fiche domicile7-3-2
8-5-2Fiche domicile7-5-0
5-3-2Derniers 10 matchs6-3-1
3.65Buts par match 4.33
3.62Buts contre par match 3.83
23.71%Pourcentage en avantage numérique17.98%
75.00%Pourcentage en désavantage numérique83.87%
Little Stars
8-15-1, 17pts
Jour 62
Islander
13-10-3, 29pts
Statistiques d’équipe
L1SéquenceL1
4-8-0Fiche domicile5-5-1
4-7-1Fiche visiteur8-5-2
3-6-110 derniers matchs5-3-2
4.04Buts par match 3.65
4.92Buts contre par match 3.65
18.39%Pourcentage en avantage numérique23.71%
80.23%Pourcentage en désavantage numérique75.00%
Admirals
10-10-4, 24pts
Jour 66
Islander
13-10-3, 29pts
Statistiques d’équipe
W1SéquenceL1
4-6-2Fiche domicile5-5-1
6-4-2Fiche visiteur8-5-2
6-3-110 derniers matchs5-3-2
4.42Buts par match 3.65
4.63Buts contre par match 3.65
22.77%Pourcentage en avantage numérique23.71%
79.59%Pourcentage en désavantage numérique75.00%
Islander
13-10-3, 29pts
Jour 68
Griffins
15-6-1, 31pts
Statistiques d’équipe
L1SéquenceSOW1
5-5-1Fiche domicile8-4-0
8-5-2Fiche visiteur7-2-1
5-3-210 derniers matchs7-3-0
3.65Buts par match 4.50
3.62Buts contre par match 4.50
23.71%Pourcentage en avantage numérique20.00%
75.00%Pourcentage en désavantage numérique80.72%
Meneurs d'équipe
Buts
Austin Watson
15
Passes
Oliver Kylington
27
Points
Joe Labate
38
Plus/Moins
Joe Labate
12
Victoires
Ivan Fedotov
13
Pourcentage d’arrêts
Chris Driedger
0.917

Statistiques d’équipe
Buts pour
95
3.65 GFG
Tirs pour
828
31.85 Avg
Pourcentage en avantage numérique
23.7%
23 GF
Début de zone offensive
36.3%
Buts contre
94
3.62 GAA
Tirs contre
833
32.04 Avg
Pourcentage en désavantage numérique
75.0%%
30 GA
Début de la zone défensive
40.4%
Informations de l'équipe

Directeur généralMaxime Alain
EntraîneurAndré Tourigny
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,776
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 250
Espoirs0


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
1Austin WatsonX100.007728827269757975717075666867592847710271700,000$
2Joe LabateX100.007331717478687176717076657264583047710261900,000$
3Ben ThomsonX100.007045717583667174667570676659563347700261900,000$
4Rhett Gardner (R)X100.008143757574638069687279666353473947700231900,000$
5Filip Zadina (R)X100.005437787356697076747573425544456647650201500,000$
6Connor Dewar (R)X100.005135797260695276615870496443456437630201500,000$
7Noah Cates (R)X100.007937636571487966515969625743435740620203500,000$
8Jaden Lindo (R)X100.006636655865586066556266546145453744600231500,000$
9Alex Steeves (R)X100.007839656966496765476257485842425119590203500,000$
10Steven Spinner (R)X100.006961626073627456596063415145453544590231500,000$
11Radovan Bondra (R)X100.007026605657526362416759554344443719570221500,000$
12Pavel Koltygin (R)X100.004635656450606048534967374743425844530202500,000$
13Slater Koekkoek (R)X100.007021887572798075576671776170523647720251900,000$
14Jake Walman (R)X100.006634877676757168456655774852484247700233950,000$
15Alexander Yelesin (R)X100.007633757369706060457054725753513637680233600,000$
16Jakub Galvas (R)X100.006724777571736760416250795846445547670203600,000$
17Simon Benoit (R)X100.005624807566537481347456714446466447660211500,000$
18Casey Staum (R)X100.006335756363566056436350625345454319600213500,000$
Rayé
1Ross Colton (R)X99.746937836883746868757376616750494538690232750,000$
2Tyrell Goulbourne (R)X100.007836747877636975577165667055533220680251700,000$
3Cole Koepke (R)X100.005141766565636659524874456947475320590211500,000$
4Philip Tomasino (R)X100.004930646645645857776768415340408320580182500,000$
5Marcus Davidsson (R)X100.006542715763554850626463476344475020570212500,000$
6Oliver Kylington (R)X96.737429828568747981498566756069474437740221975,000$
7Ronnie Attard (R)X100.006938785153686665346168554944446320600202500,000$
8Jackson LaCombe (R)X100.005424696851496572297344553940407620580182500,000$
MOYENNE D’ÉQUIPE99.86663574696664686755666559585047483564
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
1Ivan Fedotov96.00698090656391946558797457475853730232975,000$
2Chris Driedger100.00766472576076656952785849513453640251700,000$
Rayé
1Frederik Dichow (R)100.00514455565249405947366140407227480182500,000$
MOYENNE D’ÉQUIPE98.6765637259587266645264644946554462
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
André Tourigny75586370346247Can621800,000$


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
1Joe LabateIslander (NyI)C2614243812380535689314615.73%1658022.3348129851235893051.27%9091113001.3101000142
2Oliver KylingtonIslander (NyI)D25927366200376387424010.34%4367426.9956112392022494000%02733001.0700000352
3Ben ThomsonIslander (NyI)LW2613213411500503292357014.13%1457322.05371012852246812142.86%42178001.1900000204
4Austin WatsonIslander (NyI)RW2615153010120462696203715.63%1148618.702791385000004147.92%48185101.2301000311
5Rhett GardnerIslander (NyI)C2661117-1200534052223711.54%1438514.841234230001430049.07%269175000.8800000001
6Filip ZadinaIslander (NyI)LW269514-580373767324413.43%1343716.832245570000521147.62%21143000.6400000103
7Jake WalmanIslander (NyI)D264610-740143138121510.53%3053120.44202456011173000%0818000.3800000000
8Pavel KraskovskyIslandersC136410-240281341122714.63%222617.441127431012280060.71%140102010.8800000110
9Slater KoekkoekIslander (NyI)D26191074034494415152.27%3273228.181127950004113000%01526000.2700000000
10Alexander YelesinIslander (NyI)D26077-71203039326160%2453220.49033458000075000%0519000.2600000000
11Connor DewarIslander (NyI)C18336-3008113314189.09%218210.12000010002201052.38%6377000.6600000100
12Jaden LindoIslander (NyI)RW26336-120034151551620.00%229311.3011216000000050.00%1245000.4100000000
13Simon BenoitIslander (NyI)D2606692092118940%1930411.710000100000000%0112000.3900000000
14Noah CatesIslander (NyI)LW2024638040271961110.53%524612.3500002000032000%856000.4900000010
15Ross ColtonIslander (NyI)RW22246-38023292413218.33%935816.291124600000191067.86%2847000.3300000010
16Jakub GalvasIslander (NyI)D26044920112812140%2134013.1100001000020000%0014000.2300000001
17Alex SteevesIslander (NyI)C620232011191022.22%1518.5400000000000050.00%1611000.7800000000
18Steven SpinnerIslander (NyI)RW26202-4120372196610.53%12128.1800000000001055.56%932000.1900000001
19Tyrell GoulbourneIslander (NyI)LW41121608475914.29%26315.890111700004000%342000.6300000000
20Pavel KoltyginIslander (NyI)LW25112-26011551820.00%31967.8400000000010025.00%440000.2000000000
21Radovan BondraIslander (NyI)RW4011220530310%0338.310000000000000%011000.6000000000
22Casey StaumIslander (NyI)D1000020110000%11111.300000000000000%00000000000000
23Cole KoepkeIslander (NyI)LW3000000310020%0258.4800000000000050.00%20000000000000
Statistiques d’équipe totales ou en moyenne4539315624938242058353479929144711.64%265748116.522340639476347112575213351.27%1574176189110.6702000121315
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
1Ivan FedotovIslander (NyI)2613930.8873.60149900907973363002260110
2Chris DriedgerIslander (NyI)20100.9172.616900336201000026000
Statistiques d’équipe totales ou en moyenne28131030.8883.56156800938333564022626110


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Alex SteevesIslander (NyI)C201999-01-01Yes185 Lbs5 ft11NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$-------NoNo-------
Alexander YelesinIslander (NyI)D231996-01-01Yes195 Lbs6 ft0NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm600,000$418,812$0$0$No600,000$600,000$-------NoNo-------
Austin WatsonIslander (NyI)RW271992-01-01No193 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$488,614$0$0$No------------------
Ben ThomsonIslander (NyI)LW261993-01-01No205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Casey StaumIslander (NyI)D211998-01-01Yes181 Lbs6 ft0NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$-------NoNo-------
Chris DriedgerIslander (NyI)G251994-01-01No187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$488,614$0$0$No------------------
Cole KoepkeIslander (NyI)LW211998-01-01Yes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Connor DewarIslander (NyI)C201999-01-01Yes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Filip ZadinaIslander (NyI)LW201999-01-01Yes197 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Frederik DichowIslander (NyI)G182001-01-01Yes192 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Ivan FedotovIslander (NyI)G231996-01-01No207 Lbs6 ft6NoNoFree AgentNoNo22024-09-01FalseFalsePro & Farm975,000$680,569$0$0$No975,000$--------No--------
Jackson LaCombeIslander (NyI)D182001-01-01Yes205 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Jaden LindoIslander (NyI)RW231996-01-01Yes215 Lbs6 ft2NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Jake WalmanIslander (NyI)D231996-01-01Yes180 Lbs6 ft0NoNoTrade2024-09-24NoNo32024-08-21FalseFalsePro & Farm950,000$663,119$0$0$No950,000$950,000$-------NoNo-------
Jakub GalvasIslander (NyI)D201999-01-01Yes161 Lbs5 ft11NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm600,000$418,812$0$0$No600,000$600,000$-------NoNo-------
Joe LabateIslander (NyI)C261993-01-01No190 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Marcus DavidssonIslander (NyI)C211998-01-01Yes198 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Noah CatesIslander (NyI)LW201999-01-01Yes179 Lbs6 ft1NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$-------NoNo-------
Oliver KylingtonIslander (NyI)D221997-01-01Yes183 Lbs6 ft0NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm975,000$680,569$0$0$No------------------
Pavel KoltyginIslander (NyI)LW201999-01-01Yes176 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Philip TomasinoIslander (NyI)C182001-01-01Yes179 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Radovan BondraIslander (NyI)RW221997-01-01Yes217 Lbs6 ft5NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Rhett GardnerIslander (NyI)C231996-01-01Yes225 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Ronnie AttardIslander (NyI)D201999-01-01Yes207 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Ross ColtonIslander (NyI)RW231996-01-01Yes209 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$523,515$0$0$No750,000$--------No--------
Simon BenoitIslander (NyI)D211998-01-01Yes203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Slater KoekkoekIslander (NyI)D251994-01-01Yes184 Lbs6 ft1NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Steven SpinnerIslander (NyI)RW231996-01-01Yes202 Lbs6 ft0NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Tyrell GoulbourneIslander (NyI)LW251994-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$488,614$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2921.97194 Lbs6 ft11.69639,655$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben ThomsonJoe LabateAustin Watson40122
2Filip ZadinaRhett GardnerJaden Lindo30122
3Noah CatesConnor DewarSteven Spinner20122
4Pavel KoltyginAlex SteevesRadovan Bondra10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slater KoekkoekJake Walman40122
2Alexander YelesinJakub Galvas30122
3Simon BenoitCasey Staum20122
4Slater KoekkoekJake Walman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben ThomsonJoe LabateAustin Watson60122
2Filip ZadinaRhett GardnerJaden Lindo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slater KoekkoekJake Walman60122
2Alexander YelesinJakub Galvas40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joe LabateBen Thomson60122
2Rhett GardnerFilip Zadina40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slater KoekkoekJake Walman60122
2Alexander YelesinJakub Galvas40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joe Labate60122Slater KoekkoekJake Walman60122
2Rhett Gardner40122Alexander YelesinJakub Galvas40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joe LabateBen Thomson60122
2Rhett GardnerFilip Zadina40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Slater KoekkoekJake Walman60122
2Alexander YelesinJakub Galvas40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben ThomsonJoe LabateAustin WatsonSlater KoekkoekJake Walman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben ThomsonJoe LabateAustin WatsonSlater KoekkoekJake Walman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Zadina, Connor Dewar, Noah CatesFilip Zadina, Connor DewarFilip Zadina
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakub Galvas, Simon Benoit, Casey StaumJakub GalvasJakub Galvas, Simon Benoit
Tirs de pénalité
Austin Watson, Joe Labate, Ben Thomson, Rhett Gardner, Filip Zadina
Gardien
#1 : Ivan Fedotov, #2 : Chris Driedger
Lignes d’attaque personnalisées en prolongation
Austin Watson, Joe Labate, Ben Thomson, Rhett Gardner, Filip Zadina, Connor Dewar, Connor Dewar, Noah Cates, Jaden Lindo, Steven Spinner, Alex Steeves
Lignes de défense personnalisées en prolongation
Slater Koekkoek, Jake Walman, Alexander Yelesin, Jakub Galvas, Simon Benoit


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
1Bears31101000910-12010100048-41100000052340.66791524002838263812632832777912528921000.00%14192.86%030358551.79%34865153.46%18837450.27%555307546247467229
2Checkers1010000027-51010000027-50000000000000.00024600283826329263283277736111426400.00%7442.86%030358551.79%34865153.46%18837450.27%555307546247467229
3Comets3110010012120110000007432010010058-330.5001220320028382639626328327771053436735240.00%18383.33%130358551.79%34865153.46%18837450.27%555307546247467229
4Crunch11000000321110000003210000000000021.000369002838263312632832777319626200.00%30100.00%030358551.79%34865153.46%18837450.27%555307546247467229
5Firebirds412010001315-22110000089-12010100056-140.500132437002838263132263283277712525387820630.00%18761.11%030358551.79%34865153.46%18837450.27%555307546247467229
6Icehogs2110000045-11010000014-31100000031220.5004711002838263672632832777622710471119.09%5260.00%030358551.79%34865153.46%18837450.27%555307546247467229
7Little Stars1000000134-11000000134-10000000000010.50036900283826329263283277731118264125.00%40100.00%230358551.79%34865153.46%18837450.27%555307546247467229
8Marlies11000000725000000000001100000072521.00071118002838263382632832777331162822100.00%3233.33%030358551.79%34865153.46%18837450.27%555307546247467229
9Moose1010000046-2000000000001010000046-200.00046100028382633626328327774116122011100.00%6350.00%030358551.79%34865153.46%18837450.27%555307546247467229
10Penguins320001001710700000000000320001001710750.833172845002838263105263283277711243306210440.00%15286.67%130358551.79%34865153.46%18837450.27%555307546247467229
11Phantoms11000000532000000000001100000053221.000581300283826338263283277724106257228.57%3166.67%030358551.79%34865153.46%18837450.27%555307546247467229
12Punishers1010000025-31010000025-30000000000000.00024600283826329263283277738118134125.00%4250.00%030358551.79%34865153.46%18837450.27%555307546247467229
13Thunderbirds311010001073100010004312110000064240.667101525002838263922632832777702830638225.00%15286.67%030358551.79%34865153.46%18837450.27%555307546247467229
14Wolfpack1010000046-2000000000001010000046-200.0004711002838263252632832777341010179111.11%5180.00%030358551.79%34865153.46%18837450.27%555307546247467229
Total26101003201959411135020013446-12157501200614813290.558951612560028382638282632832777833271242596972323.71%1203075.00%430358551.79%34865153.46%18837450.27%555307546247467229
_Since Last GM Reset26101003201959411135020013446-12157501200614813290.558951612560028382638282632832777833271242596972323.71%1203075.00%430358551.79%34865153.46%18837450.27%555307546247467229
_Vs Conference2178032017578-31034020013342-911440120042366230.548751292040028382636492632832777673207208476761722.37%1032278.64%430358551.79%34865153.46%18837450.27%555307546247467229
_Vs Division1034021003437-3522010001921-2512011001516-1110.55034599300283826330926328327773218410224335822.86%501178.00%130358551.79%34865153.46%18837450.27%555307546247467229

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2629L19516125682883327124259600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
26101032019594
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
113520013446
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
157512006148
Derniers 10 matchs
WLOTWOTL SOWSOL
332101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
972323.71%1203075.00%4
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
26328327772838263
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
30358551.79%34865153.46%18837450.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
555307546247467229


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
29Islander3Icehogs1WSommaire du match
416Islander7Penguins4WSommaire du match
624Islander2Thunderbirds3LSommaire du match
730Firebirds7Islander5LSommaire du match
1048Comets4Islander7WSommaire du match
1258Islander2Comets3LXSommaire du match
1676Islander3Firebirds2WXSommaire du match
1778Icehogs4Islander1LSommaire du match
2098Bears5Islander0LSommaire du match
22109Islander5Bears2WSommaire du match
25126Crunch2Islander3WSommaire du match
27140Islander7Penguins2WSommaire du match
29151Islander4Thunderbirds1WSommaire du match
30156Punishers5Islander2LSommaire du match
33173Islander2Firebirds4LSommaire du match
35179Islander4Wolfpack6LSommaire du match
36185Checkers7Islander2LSommaire du match
41208Bears3Islander4WXSommaire du match
45226Islander5Phantoms3WSommaire du match
47233Firebirds2Islander3WSommaire du match
50254Thunderbirds3Islander4WXSommaire du match
52264Islander3Penguins4LXSommaire du match
55281Islander4Moose6LSommaire du match
56286Little Stars4Islander3LXXSommaire du match
59300Islander7Marlies2WSommaire du match
61306Islander3Comets5LSommaire du match
62313Little Stars-Islander-
66337Admirals-Islander-
68346Islander-Griffins-
70360Islander-Comets-
71365Wranglers-Islander-
74383Islander-Wolfpack-
76390Comets-Islander-
79404Islander-Little Stars-
80414Condors-Islander-
83428Islander-Senators-
86442Punishers-Islander-
88453Islander-Firebirds-
90464Islander-Wranglers-
91468Gulls-Islander-
96493Phantoms-Islander-
100513Islander-Rockets-
102519Griffins-Islander-
106541Penguins-Islander-
109555Islander-Americans-
111569Americans-Islander-
114582Islander-Crunch-
116594Barracuda-Islander-
120615Islander-Wranglers-
121622Firebirds-Islander-
124634Islander-Canucks-
126646Canucks-Islander-
130667Islander-Condors-
131674Marlies-Islander-
134693Islander-Admirals-
135701Wolfpack-Islander-
138720Senators-Islander-
140730Islander-Punishers-
142741Islander-Thunderbirds-
144752Eagles-Islander-
147770Islander-Checkers-
148776Eagles-Islander-
152794Islander-Icehogs-
154804Crunch-Islander-
156816Islander-Eagles-
159831Crunch-Islander-
161840Islander-Bears-
163855Wranglers-Islander-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166868Islander-Gulls-
168880Islander-Barracuda-
169884Moose-Islander-
173900Islander-Icehogs-
174909Comets-Islander-
178933Checkers-Islander-
182954Bears-Islander-
184966Islander-Bears-
185971Islander-Canucks-
189988Icehogs-Islander-
1931010Icehogs-Islander-
1981029Rockets-Islander-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance20,37110,161
Assistance PCT92.60%92.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 2776 - 92.52% 174,912$1,924,030$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
835,832$ 1,855,000$ 1,795,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,183$ 594,260$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,072,443$ 141 13,144$ 1,853,304$




Islander 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

Islander 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

Islander 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

Islander 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

Islander 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