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Schooners
GP: 80 | W: 54 | L: 21 | OTL: 5 | P: 113
GF: 296 | GA: 230 | PP%: 20.78% | PK%: 74.04%
DG: Alex Berard | Morale : 50 | Moyenne d’équipe : 70

Centre de jeu
Schooners
54-21-5, 113pts
7
5 Crusaders
36-29-13, 85pts
Team Stats
W2SéquenceL2
27-11-2Fiche domicile21-12-5
27-10-3Fiche domicile15-17-8
7-3-0Derniers 10 matchs3-7-0
3.70Buts par match 3.28
2.88Buts contre par match 3.54
20.78%Pourcentage en avantage numérique32.43%
74.04%Pourcentage en désavantage numérique74.14%
Crusaders
36-29-13, 85pts
3
7 Schooners
54-21-5, 113pts
Team Stats
L2SéquenceW2
21-12-5Fiche domicile27-11-2
15-17-8Fiche domicile27-10-3
3-7-0Derniers 10 matchs7-3-0
3.28Buts par match 3.70
3.54Buts contre par match 2.88
32.43%Pourcentage en avantage numérique20.78%
74.14%Pourcentage en désavantage numérique74.04%
Meneurs d'équipe
Buts
Lyubomyr Makarov
38
Passes
Phil Symes
50
Points
Teppana Ahrner
76
Plus/Moins
Willem Bedard
39
Victoires
Wiktor Ersson
38
Pourcentage d’arrêts
Wiktor Ersson
0.91

Statistiques d’équipe
Buts pour
296
3.70 GFG
Tirs pour
3016
37.70 Avg
Pourcentage en avantage numérique
20.8%
32 GF
Début de zone offensive
39.2%
Buts contre
230
2.88 GAA
Tirs contre
2452
30.65 Avg
Pourcentage en désavantage numérique
74.0%%
27 GA
Début de la zone défensive
35.1%
Informations de l'équipe

Directeur généralAlex Berard
EntraîneurViktor Palmikhin
DivisionEast Coast Division
ConférenceEastern Conference
CapitaineYakov Raikovsky
Assistant #1Kazimir Papazov
Assistant #2Bernt Metsasalo


Informations de l’aréna

Capacité3,000
Assistance1,616
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 55
Espoirs5


Historique d'équipe

Saison actuelle54-21-5 (113PTS)
Historique234-121-36 (0.598%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)25 - 21 (0.543%)
Coupe Stanley1


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
1Teppana Ahrner (R)92X100.009544576161996389817868854054866750760212800,000$
2Phil Symes (R)19X100.003327687899906262949069633751467150760203800,000$
3Harding Fremlin73X98.004440999368617664999296348366472250750312700,000$
4Bernt Metsasalo (A)79X99.006743839759786964816684756990636650740231700,000$
5Michael Dineen (R)24X100.009235566862615290577692997342626350740221900,000$
6Lyubomyr Makarov (R)97X100.005136659974935376755099663960746050730231800,000$
7Yakov Raikovsky (C)94X100.00744974657271648594744785917978150720362925,000$
8Jaimie Pether (R)22X100.0059625890599972966641825244922960507002451,650,000$
9Germaine Goodhew8X100.005856949448834978885094524072841350690331865,500$
10Zach Bamford44X100.003861888343648691854084606268656506803421,000,000$
11Harris Topp (R)0X100.006641556373965862704392788131916850680213802,000$
12Carey Herrington (R)4X100.007051838077956063723268626742696550670222850,000$
13Kazimir Papazov (R) (A)2X100.0040597473977793892564548584547560507602341,800,000$
14Anthony Lowry (R)7X100.003554788989995294257069679284407150760221800,000$
15Willem Bedard (R)91X100.007140865996998083256945765972757450760212800,000$
16Alex Bjorkegren3X100.008069676760847367715658696956638650680213950,000$
17Daniil Zachest (R)85X100.004755618273725090255671567497746550670222750,000$
18Lynden Challen (R)57X100.003131688546645856256232908352916450600231700,000$
Rayé
1Remy Rerie (R)45X100.008558897569818359905767629381465750710232700,000$
2John Marianchuk (R)62X100.006738916130827154707981466247957050660221700,000$
3Brook Babcock (R)6X100.007758575459975258744289784744906450650224800,000$
4Jadran Dobler (R)68X100.007344638275925185644774254354465950650231775,000$
5Orjan Severin75X100.008685706264536966843848889497904050630281835,000$
6Frank Hilmersson42X100.007563786077528177257357517695882950670301700,000$
7Kende Pesovnik (R)11X100.007854836057568769256736779042756350670221700,000$
8Bo Forslund51X100.003870758293637377253862538989642150660311700,000$
MOYENNE D’ÉQUIPE99.88635174756879677562607067696669535070
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
1Brodie Helyar (R)2998.007781818280509373628275387656507602431,500,000$
2Wiktor Ersson (R)3098.00886359789187519285498458837650740203800,000$
Rayé
1Ethan Fernhout40100.00646181714979707364756153866050690241700,000$
2Ansu Jarvelainen31100.00505251657882985882557182366250670241700,000$
MOYENNE D’ÉQUIPE99.0070646874757578747365735870645072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Viktor Palmikhin59877062999085RUS393800,000$


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
1Teppana AhrnerSchooners (STI)C753046762657152331382277015113.22%38135618.09178151131016663052.37%13083133001.1200102864
2Michael DineenSchooners (STI)LW7728437115351522995290811679.66%39136817.7751015291230003296137.93%583627111.0434021476
3Lyubomyr MakarovSchooners (STI)RW803829677321061832946817012.93%33137917.247613261270000010145.21%739322020.9700110722
4Phil SymesSchooners (STI)C801750671580251181614010510.56%38138917.3738116122000011154.71%12633728000.9601000175
5Jaimie PetherSchooners (STI)LW80333164-8713514382342891869.65%22138517.32831122121000133255.06%899623010.9200214715
6Bernt MetsasaloSchooners (STI)C80233255222201071582197312510.50%39138517.321455621125763250.44%14678836010.7902103227
7Anthony LowrySchooners (STI)D608354328351589415963745.03%63131421.923361397000045200%04034100.6511111121
8Yakov RaikovskySchooners (STI)RW721620366141015886134598311.94%31122617.040334480111220053.77%1062229000.5926110032
9Zach BamfordSchooners (STI)C7925103511006432167712111.57%146778.5800007000296054.30%2214612011.0300000400
10Kazimir PapazovSchooners (STI)D79132332472602911212047520.83%91161820.49000138000076100%02676000.4100237100
11Willem BedardSchooners (STI)D80626323910101011078036387.50%94180422.551236138000079210%0958000.3500002014
12Germaine GoodhewSchooners (STI)RW331892713552932140438712.86%1053616.27011020000002150.00%325111001.0100001342
13Daniil ZachestSchooners (STI)D7932326-810660487011662432.59%73147618.691121110200009100%02631000.3500444000
14Alex BjorkegrenSchooners (STI)D77124253013890146978523351.18%72145818.94011050000016010%0555000.3400837010
15Harding FremlinSchooners (STI)RW216101620031348161912.50%633716.06000030110170063.64%22185000.9500000120
16Brook BabcockSchooners (STI)LW6687151552301546355192914.55%1577111.69000060001130037.50%24723000.3900123223
17Harris ToppSchooners (STI)LW48761314100734741202217.07%1250910.61000011011364068.75%1668000.5124000113
18Francois PrigioneStingraysD12111123801824231674.35%1522919.1602241400009000%0511101.0400000010
19Carey HerringtonSchooners (STI)RW7957121755775149253510.20%177349.30000020110261150.00%40516100.3312001011
20Kende PesovnikSchooners (STI)D61110111202091854614172.17%76110318.09000122000267000%0540100.2000004002
21Lynden ChallenSchooners (STI)D3801111-21156582413120%5670518.5700005000036000%0629000.3100010000
22Remy RerieSchooners (STI)LW3612312141056282911113.45%947413.1900003000000057.14%21713000.1313101000
23Bo ForslundSchooners (STI)D3011100021020%14816.140000000000000%000000.4100000000
24John MarianchukSchooners (STI)C7011-2006311660%08311.8900000000000041.98%8110000.2400000000
25Orjan SeverinSchooners (STI)LW41013555640025.00%14812.230000000003000%100000.4100100000
26Frank HilmerssonSchooners (STI)D3000-200141100%03210.770000000000000%00000000000000
27Jadran DoblerSchooners (STI)RW1000-155003110%01313.480000000000000%02000000001000
Statistiques d’équipe totales ou en moyenne141027747675326173542518131699291897315989.49%8652347216.65305181143123634722649451152.12%4822668620560.641023241942424347
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
1Wiktor ErssonSchooners (STI)59381730.9102.763549401631811752320.864225822553
2Brodie HelyarSchooners (STI)2216420.8983.0412852065639365401.00032258021
Statistiques d’équipe totales ou en moyenne81542150.9072.834835602282450111772258080574


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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 BjorkegrenSchooners (STI)D212006-11-15SWENo233 Lbs6 ft8NoNoAssign ManuallyNoNo32025-10-26FalseFalsePro & Farm950,000$95,000$1,926$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Ansu JarvelainenSchooners (STI)G242003-12-22FINNo167 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$1,419$No---------------------------
Anthony LowrySchooners (STI)D222005-02-07CANYes234 Lbs6 ft8NoNoFree AgentNoNo12024-07-04FalseFalsePro & Farm800,000$80,000$1,622$No---------------------------
Bernt MetsasaloSchooners (STI)C232004-12-03FINNo174 Lbs5 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$1,419$No---------------------------
Bo ForslundSchooners (STI)D311996-02-06CANNo216 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$1,419$No---------------------------
Brodie HelyarSchooners (STI)G242003-03-20USAYes184 Lbs5 ft7NoNoAssign Manually2025-06-24NoNo32025-09-28FalseFalsePro & Farm1,500,000$150,000$3,041$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Brook BabcockSchooners (STI)LW222005-10-03CANYes213 Lbs6 ft8NoNoAssign ManuallyNoNo42025-02-01FalseFalsePro & Farm800,000$80,000$1,622$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Carey HerringtonSchooners (STI)RW222005-04-21CANYes206 Lbs6 ft8NoNoFree AgentNoNo22025-02-27FalseFalsePro & Farm850,000$85,000$1,723$No850,000$--------850,000$--------No--------
Daniil ZachestSchooners (STI)D222005-02-12RUSYes197 Lbs6 ft2NoNoFree AgentNoNo22025-02-26FalseFalsePro & Farm750,000$75,000$1,520$No750,000$--------750,000$--------No--------
Ethan FernhoutSchooners (STI)G242003-09-23CANNo178 Lbs5 ft10NoNoTrade2024-06-19NoNo1FalseFalsePro & Farm700,000$70,000$1,419$No---------------------------
Frank HilmerssonSchooners (STI)D301997-01-24SWENo166 Lbs5 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$1,419$No---------------------------
Germaine GoodhewSchooners (STI)RW331994-05-14USANo204 Lbs5 ft11NoNoFree AgentNoNo12026-01-22FalseFalsePro & Farm865,500$86,550$1,754$No---------------------------
Harding FremlinSchooners (STI)RW311996-03-11USANo240 Lbs6 ft7NoNoTrade2024-10-18NoNo2FalseFalsePro & Farm700,000$70,000$1,419$No700,000$--------700,000$--------No--------
Harris ToppSchooners (STI)LW212006-08-23USAYes220 Lbs6 ft6NoNoFree AgentNoNo32025-12-20FalseFalsePro & Farm802,000$80,200$1,626$No802,000$802,000$-------802,000$802,000$-------NoNo-------
Jadran DoblerSchooners (STI)RW232004-04-16CANYes189 Lbs5 ft10NoNoFree AgentNoNo12024-08-23FalseFalsePro & Farm775,000$77,500$1,571$No---------------------------
Jaimie PetherSchooners (STI)LW242003-09-02USAYes174 Lbs5 ft6NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm1,650,000$165,000$3,345$No1,650,000$1,650,000$1,650,000$1,650,000$-----1,650,000$1,650,000$1,650,000$1,650,000$-----NoNoNoNo-----
John MarianchukSchooners (STI)C222005-08-06CANYes201 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$1,419$No---------------------------
Kazimir PapazovSchooners (STI)D232004-09-06RUSYes174 Lbs5 ft5NoNoAssign ManuallyNoNo42025-02-01FalseFalsePro & Farm1,800,000$180,000$3,649$No1,800,000$1,800,000$1,800,000$------1,800,000$1,800,000$1,800,000$------NoNoNo------
Kende PesovnikSchooners (STI)D222005-05-16HUNYes187 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$1,419$No---------------------------
Lynden ChallenSchooners (STI)D232004-03-12USAYes173 Lbs5 ft8NoNoTrade2025-05-14NoNo1FalseFalsePro & Farm700,000$70,000$1,419$No---------------------------
Lyubomyr MakarovSchooners (STI)RW232004-10-14UKRYes215 Lbs6 ft1NoNoFree AgentNoNo12024-07-04FalseFalsePro & Farm800,000$80,000$1,622$No---------------------------
Michael DineenSchooners (STI)LW222005-06-19CANYes228 Lbs6 ft6NoNoFree AgentNoNo12024-07-04FalseFalsePro & Farm900,000$90,000$1,824$No---------------------------
Orjan SeverinSchooners (STI)LW281999-10-24SWENo182 Lbs5 ft9NoNoFree AgentNoNo12024-07-11FalseFalsePro & Farm835,000$83,500$1,693$No---------------------------
Phil SymesSchooners (STI)C202007-11-11CANYes207 Lbs6 ft3NoNoDraftNoNo32025-10-09FalseFalsePro & Farm800,000$80,000$1,622$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Remy RerieSchooners (STI)LW232004-04-15CANYes183 Lbs5 ft8NoNoTrade2024-10-18NoNo22024-07-13FalseFalsePro & Farm700,000$70,000$1,419$No700,000$--------700,000$--------No--------
Teppana AhrnerSchooners (STI)C212006-05-17FINYes173 Lbs5 ft8NoNoTrade2025-02-25NoNo22025-02-21FalseFalsePro & Farm800,000$80,000$1,622$No800,000$--------800,000$--------No--------
Wiktor ErssonSchooners (STI)G202007-09-15SWEYes182 Lbs6 ft3NoNoDraftNoNo32025-10-09FalseFalsePro & Farm800,000$80,000$1,622$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Willem BedardSchooners (STI)D212006-07-17CANYes222 Lbs6 ft7NoNoDraftNoNo22025-02-19FalseFalsePro & Farm800,000$80,000$1,622$No800,000$--------800,000$--------No--------
Yakov RaikovskySchooners (STI)RW361991-10-01RUSNo221 Lbs6 ft6NoNoN/ANoNo22024-06-05FalseFalsePro & Farm925,000$92,500$1,875$No925,000$--------925,000$--------No--------
Zach BamfordSchooners (STI)C341993-12-01CANNo166 Lbs5 ft8NoNoAssign Manually2024-03-31NoNo22025-02-01FalseFalsePro & Farm1,000,000$100,000$2,027$No1,000,000$--------1,000,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3024.50197 Lbs6 ft11.93873,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael DineenTeppana AhrnerLyubomyr Makarov31023
2Yakov RaikovskyPhil SymesGermaine Goodhew31122
3Jaimie PetherBernt MetsasaloHarding Fremlin31023
4Harris ToppZach BamfordCarey Herrington7122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Willem BedardAnthony Lowry35122
2Kazimir PapazovAlex Bjorkegren35122
3Daniil ZachestLynden Challen30122
4Willem BedardDaniil Zachest0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael DineenTeppana AhrnerLyubomyr Makarov50005
2Jaimie PetherBernt MetsasaloPhil Symes50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Willem BedardAnthony Lowry50005
2Germaine GoodhewDaniil Zachest50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Bernt MetsasaloHarding Fremlin50050
2Teppana AhrnerHarris Topp50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kazimir PapazovAnthony Lowry50140
2Willem BedardLynden Challen50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Bernt Metsasalo50050Lynden ChallenKazimir Papazov50050
2Teppana Ahrner50050Anthony LowryWillem Bedard50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Phil SymesMichael Dineen50122
2Bernt MetsasaloJaimie Pether50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Willem BedardAlex Bjorkegren50122
2Anthony LowryDaniil Zachest50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaimie PetherTeppana AhrnerLyubomyr MakarovWillem BedardDaniil Zachest
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael DineenBernt MetsasaloHarding FremlinAnthony LowryKazimir Papazov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Phil Symes, Jaimie Pether, Carey HerringtonZach Bamford, Jaimie PetherCarey Herrington
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniil Zachest, Anthony Lowry, Lynden ChallenDaniil ZachestAnthony Lowry, Daniil Zachest
Tirs de pénalité
Yakov Raikovsky, Michael Dineen, Harding Fremlin, Bernt Metsasalo, Carey Herrington
Gardien
#1 : Brodie Helyar, #2 : Wiktor Ersson
Lignes d’attaque personnalisées en prolongation
Teppana Ahrner, Michael Dineen, Lyubomyr Makarov, Phil Symes, Bernt Metsasalo, Jaimie Pether, Germaine Goodhew, Harris Topp, Yakov Raikovsky, Harding Fremlin
Lignes de défense personnalisées en prolongation
Willem Bedard, Daniil Zachest, Anthony Lowry, Kazimir Papazov, Alex Bjorkegren


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
1Auroras220000001248110000004131100000083541.00012183000911069012871014106291547501731568112.50%3166.67%01017189153.78%903169253.37%618124149.80%1800111016786831364686
2Bulldogs42200000151412020000058-322000000106440.5001523380091106901215810141062915471205450859333.33%5180.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
3Comets8440000026242431000001266413000001418-480.50026457110911069012287101410629154723698301884125.00%10460.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
4Crusaders86101000422517421010001912744000000231310140.87542711130091106901228410141062915472669012821018422.22%14471.43%11017189153.78%903169253.37%618124149.80%1800111016786831364686
5Devils2010010047-31010000013-21000010034-110.25045900911069012761014106291547621811352150.00%3166.67%01017189153.78%903169253.37%618124149.80%1800111016786831364686
6Guppies21000100431110000003121000010012-130.7504610009110690126310141062915474931936200.00%20100.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
7Hornets21000010642100000103211100000032141.0006814009110690128310141062915475822648000%3166.67%01017189153.78%903169253.37%618124149.80%1800111016786831364686
8Hydra412010001415-12100100010732020000048-440.50014253900911069012131101410629154712032419512325.00%8450.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
9Jacks211000009631010000045-11100000051420.50091423009110690127010141062915477429173722100.00%10100.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
10Jazz22000000422110000002111100000021141.0004812009110690126010141062915473715253610110.00%000%01017189153.78%903169253.37%618124149.80%1800111016786831364686
11Kings210001009901000010056-11100000043130.75091423009110690129310141062915478424744000%110.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
12Northmen42200000111102020000048-42200000073440.5001117280091106901216110141062915471333543846116.67%4175.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
13Outlaws22000000633110000003211100000031241.000681400911069012631014106291547522615432150.00%5180.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
14Phantoms431000002116521100000710-322000000146860.75021375800911069012158101410629154712051819215213.33%7271.43%21017189153.78%903169253.37%618124149.80%1800111016786831364686
15Rampage412000101012-22010001067-12110000045-140.500101424009110690121361014106291547125464987500.00%2150.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
16Rock42000020191182000002097222000000104681.000193049009110690121491014106291547128412310011436.36%4175.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
17Spartans84300010221934310000011834120001011110100.62522386000911069012313101410629154725994651791317.69%15286.67%01017189153.78%903169253.37%618124149.80%1800111016786831364686
18Stingers4200020015141210001008712100010077060.75015243900911069012141101410629154711239151021317.69%5260.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
19Vipers22000000743110000003121100000043141.00071320009110690128910141062915476514248000%10100.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
20Wild Wings430000101697220000008442100001085381.0001625410091106901217710141062915471213438929222.22%40100.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
21Wolfpack2010001089-1100000104311010000046-220.5008132110911069012911014106291547692019417114.29%20100.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
22Wolverines21100000651110000004221010000023-120.50068140091106901270101410629154756207463133.33%10100.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
23Yeti220000001046110000006331100000041341.00010192900911069012761014106291547562226463266.67%40100.00%01017189153.78%903169253.37%618124149.80%1800111016786831364686
Total8045210257029623066402011022501411142740251000320155116391130.7062964837792091106901230161014106291547245287273818301543220.78%1042774.04%31017189153.78%903169253.37%618124149.80%1800111016786831364686
_Since Last GM Reset8045210257029623066402011022501411142740251000320155116391130.7062964837792091106901230161014106291547245287273818301543220.78%1042774.04%31017189153.78%903169253.37%618124149.80%1800111016786831364686
_Vs Conference5630170225021117041281390213099841528178001201128626760.6792113495601091106901220951014106291547174061456313141152219.13%782271.79%31017189153.78%903169253.37%618124149.80%1800111016786831364686
_Vs Division161480101057471088301000251968650001032284321.000579615310911069012591101410629154746320212636421314.29%22768.18%21017189153.78%903169253.37%618124149.80%1800111016786831364686

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
80113W229648377930162452872738183020
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8045212570296230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4020112250141114
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4025100320155116
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1543220.78%1042774.04%3
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
1014106291547911069012
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
1017189153.78%903169253.37%618124149.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1800111016786831364686


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 - 2025-11-021Schooners6Crusaders3WSommaire du match
3 - 2025-11-0423Rock3Schooners4WXXSommaire du match
5 - 2025-11-0635Schooners2Rampage1WSommaire du match
6 - 2025-11-0745Hydra4Schooners6WSommaire du match
8 - 2025-11-0956Schooners4Rock2WSommaire du match
10 - 2025-11-1170Schooners2Spartans4LSommaire du match
12 - 2025-11-1379Schooners6Bulldogs3WSommaire du match
13 - 2025-11-1493Hornets2Schooners3WXXSommaire du match
15 - 2025-11-1698Schooners4Comets5LSommaire du match
17 - 2025-11-18119Schooners4Vipers3WSommaire du match
19 - 2025-11-20130Kings6Schooners5LXSommaire du match
20 - 2025-11-21142Comets1Schooners4WSommaire du match
22 - 2025-11-23145Schooners4Bulldogs3WSommaire du match
24 - 2025-11-25165Schooners2Hydra3LSommaire du match
26 - 2025-11-27179Wolfpack3Schooners4WXXSommaire du match
27 - 2025-11-28189Spartans4Schooners1LSommaire du match
29 - 2025-11-30199Vipers1Schooners3WSommaire du match
31 - 2025-12-02212Schooners4Northmen1WSommaire du match
33 - 2025-12-04225Yeti3Schooners6WSommaire du match
34 - 2025-12-05232Crusaders4Schooners2LSommaire du match
36 - 2025-12-07248Rampage6Schooners4LSommaire du match
37 - 2025-12-08250Schooners4Kings3WSommaire du match
39 - 2025-12-10267Schooners3Stingers2WSommaire du match
41 - 2025-12-12279Schooners2Rampage4LSommaire du match
43 - 2025-12-14287Schooners5Comets4WSommaire du match
45 - 2025-12-16308Devils3Schooners1LSommaire du match
47 - 2025-12-18318Schooners5Jacks1WSommaire du match
48 - 2025-12-19331Schooners4Stingers5LXSommaire du match
50 - 2025-12-21341Northmen4Schooners2LSommaire du match
51 - 2025-12-22351Phantoms4Schooners6WSommaire du match
53 - 2025-12-24362Schooners3Northmen2WSommaire du match
55 - 2025-12-26380Schooners5Wild Wings3WSommaire du match
57 - 2025-12-28391Stingers2Schooners4WSommaire du match
59 - 2025-12-30402Schooners2Jazz1WSommaire du match
61 - 2026-01-01412Schooners1Guppies2LXSommaire du match
62 - 2026-01-02420Schooners3Devils4LXSommaire du match
64 - 2026-01-04438Schooners4Spartans3WXXSommaire du match
65 - 2026-01-05446Crusaders2Schooners3WXSommaire du match
67 - 2026-01-07457Jazz1Schooners2WSommaire du match
69 - 2026-01-09468Schooners5Crusaders2WSommaire du match
71 - 2026-01-11488Schooners3Wild Wings2WXXSommaire du match
73 - 2026-01-13499Bulldogs5Schooners3LSommaire du match
75 - 2026-01-15509Northmen4Schooners2LSommaire du match
76 - 2026-01-16522Stingers5Schooners4LXSommaire du match
78 - 2026-01-18533Wild Wings2Schooners4WSommaire du match
79 - 2026-01-19542Wolverines2Schooners4WSommaire du match
81 - 2026-01-21550Schooners8Auroras3WSommaire du match
83 - 2026-01-23569Spartans2Schooners4WSommaire du match
85 - 2026-01-25577Schooners2Hydra5LSommaire du match
87 - 2026-01-27594Comets1Schooners4WSommaire du match
89 - 2026-01-29607Bulldogs3Schooners2LSommaire du match
90 - 2026-01-30616Auroras1Schooners4WSommaire du match
92 - 2026-02-01628Guppies1Schooners3WSommaire du match
94 - 2026-02-03643Schooners4Yeti1WSommaire du match
96 - 2026-02-05654Phantoms6Schooners1LSommaire du match
97 - 2026-02-06661Schooners4Phantoms3WSommaire du match
99 - 2026-02-08676Schooners4Wolfpack6LSommaire du match
100 - 2026-02-09683Outlaws2Schooners3WSommaire du match
102 - 2026-02-11695Schooners10Phantoms3WSommaire du match
104 - 2026-02-13703Schooners2Comets4LSommaire du match
106 - 2026-02-15722Rampage1Schooners2WXXSommaire du match
108 - 2026-02-17735Jacks5Schooners4LSommaire du match
110 - 2026-02-19745Schooners2Wolverines3LSommaire du match
111 - 2026-02-20754Hydra3Schooners4WXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
113 - 2026-02-22764Schooners3Outlaws1WSommaire du match
114 - 2026-02-23772Wild Wings2Schooners4WSommaire du match
116 - 2026-02-25783Comets1Schooners2WSommaire du match
118 - 2026-02-27799Schooners6Rock2WSommaire du match
120 - 2026-03-01813Spartans1Schooners3WSommaire du match
122 - 2026-03-03824Schooners3Hornets2WSommaire du match
125 - 2026-03-06844Schooners4Spartans1WSommaire du match
127 - 2026-03-08853Rock4Schooners5WXXSommaire du match
131 - 2026-03-12867Schooners5Crusaders3WSommaire du match
132 - 2026-03-13886Crusaders3Schooners7WSommaire du match
134 - 2026-03-15891Schooners3Comets5LSommaire du match
137 - 2026-03-18910Comets3Schooners2LSommaire du match
139 - 2026-03-20924Spartans1Schooners3WSommaire du match
142 - 2026-03-23942Schooners1Spartans3LSommaire du match
144 - 2026-03-25946Schooners7Crusaders5WSommaire du match
145 - 2026-03-26955Crusaders3Schooners7WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5025
Assistance44,48520,164
Assistance PCT55.61%50.41%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1616 - 53.87% 71,619$2,864,769$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,227,752$ 2,620,250$ 2,620,250$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,620,250$ 3,227,752$ 30 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 23,110$ 69,330$




Schooners 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
1Bernt Metsasalo34996147243157241459381311.81%159593117.001933525111219201052.20%10.8215
2Yakov Raikovsky361921202125712268949689410.29%150612416.9762026360221516351.89%10.69726
3Jaimie Pether2691119420545266465244104110.66%56451716.7916193570000112851.25%50.9100
4Michael Dineen196731151881810959028666610.96%105347917.7521295068000316440.00%11.08814
5Lyubomyr Makarov2249278170-28118322681711.26%82390017.4121214274000319249.24%50.8702

Schooners 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
1Ansu Jarvelainen1367836150.9112.5479648333737951858830.65632
2Wiktor Ersson59381730.9102.763549401631811752320.86422
3Rafal Papps59341490.9212.273459011311660968430.60025
4Brodie Helyar57302040.8993.1832432117217081017501.0008
5Ethan Fernhout34141250.8983.271911011041015511110.8577

Schooners 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
1804324024162502005040211302004127933440221100412123107161022504186686348931067269385792988253226473276819841735833.53%1563975.00%4916177051.75%803149053.89%571112750.67%1760103516197291464711
280302403986222220240179025521201031740131501434102117-159722235858002537286182653784894904113231579270421011703922.94%1122974.11%0892174151.23%783148152.87%552108550.88%1747101416767371467724
3803925055422692204940221201320139100394017130422213012010103269466735117987941329281012102088235247787878918531755531.43%1092477.98%01013195451.84%862169250.95%614119151.55%1739103717047011400697
48033270864226724621401611073301461172940171601312121129-898267442709228410071152910101596089858252283281517941534328.10%1052477.14%0959188750.82%827168149.20%651123952.54%1730103817147011403697
58045210257029623066402011022501411142740251000320155116391132964837792091106901230161014106291547245287273818301543220.78%1042774.04%31017189153.78%903169253.37%618124149.80%1800111016786831364686
Total Saison régulière40019012102029241613041116188200965601413156673527146200946506169106315894251313042167347111835545844765142004682486544813061203041063814956282522727.52%58614375.60%74797924351.90%4178803651.99%3006588351.10%877752368393355471003517
Séries éliminatoires
1191270000061529107300000372710954000002425-124611061671117251636211912182021061122820044320630.00%25292.00%019537452.14%20336955.01%14326553.96%396231421174341168
2734000002327-4413000001316-3321000001011-16233760005126023974798602378012616820525.00%13653.85%08516352.15%7017540.00%6411555.65%148871565711758
31046000002629-351400000918-9532000001711682646720011104136115612181334111910223415533.33%6350.00%011624247.93%10921151.66%6813948.92%2101262198217185
410640000041347523000002021-1541000002113812416510600171311036113013794033511912324414857.14%100100.00%011923450.85%10119053.16%6915943.40%2201332088617484
Total Séries éliminatoires462521000001511429241113000007982-322148000007260125015125440511506037415825515554631315245465511089692434.78%541179.63%0515101350.84%48394551.11%34467850.74%9755781006401805397

Schooners 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
1Bernt Metsasalo46101828-21736608811.36%1572115.68156300011049.91%00.7800
2Yakov Raikovsky46818262227973978.25%2576516.65202200001155.56%00.6800
3Stephan Preston19147214840308416.67%1033217.49000200004153.98%11.2600
4Patrick Panitz46101020-10236701059.52%3069015.02112100003258.33%00.5800
5Michael Dineen1910919-3253336315.87%1334117.97437700002040.91%01.1100

Schooners 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
1Ansu Jarvelainen178710.9192.75100300465672892000
2Svyatoslav Nikushkin107210.9132.6060101263001351000
3Brodie Helyar96120.8973.40494150282721682000
4Rafal Papps103510.8973.4256200323121900100
5Ethan Fernhout21100.8754.5012000972360000