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Schooners
GP: 17 | W: 12 | L: 4 | OTL: 1 | P: 25
GF: 64 | GA: 51 | PP%: 29.03% | PK%: 78.57%
DG: Alex Berard | Morale : 50 | Moyenne d’équipe : 70
Prochains matchs #212 vs Northmen

Centre de jeu
Spartans
10-5-3, 23pts
4
1 Schooners
12-4-1, 25pts
Team Stats
OTL2SéquenceW1
4-3-2Fiche domicile6-1-1
6-2-1Fiche domicile6-3-0
4-4-2Derniers 10 matchs6-3-1
3.67Buts par match 3.76
3.56Buts contre par match 3.00
28.21%Pourcentage en avantage numérique29.03%
73.91%Pourcentage en désavantage numérique78.57%
Vipers
7-8-2, 16pts
1
3 Schooners
12-4-1, 25pts
Team Stats
L1SéquenceW1
4-5-0Fiche domicile6-1-1
3-3-2Fiche domicile6-3-0
4-5-1Derniers 10 matchs6-3-1
2.53Buts par match 3.76
3.00Buts contre par match 3.00
26.67%Pourcentage en avantage numérique29.03%
61.54%Pourcentage en désavantage numérique78.57%
Schooners
12-4-1, 25pts
2025-12-02
Northmen
9-6-2, 20pts
Statistiques d’équipe
W1SéquenceW1
6-1-1Fiche domicile5-3-0
6-3-0Fiche visiteur4-3-2
6-3-110 derniers matchs7-2-1
3.76Buts par match 3.06
3.00Buts contre par match 3.06
29.03%Pourcentage en avantage numérique34.38%
78.57%Pourcentage en désavantage numérique78.95%
Yeti
7-7-3, 17pts
2025-12-04
Schooners
12-4-1, 25pts
Statistiques d’équipe
L1SéquenceW1
3-3-2Fiche domicile6-1-1
4-4-1Fiche visiteur6-3-0
4-4-210 derniers matchs6-3-1
2.59Buts par match 3.76
2.94Buts contre par match 3.76
17.14%Pourcentage en avantage numérique29.03%
57.14%Pourcentage en désavantage numérique78.57%
Crusaders
9-5-3, 21pts
2025-12-05
Schooners
12-4-1, 25pts
Statistiques d’équipe
L2SéquenceW1
5-1-1Fiche domicile6-1-1
4-4-2Fiche visiteur6-3-0
5-3-210 derniers matchs6-3-1
3.94Buts par match 3.76
3.47Buts contre par match 3.76
26.32%Pourcentage en avantage numérique29.03%
78.05%Pourcentage en désavantage numérique78.57%
Meneurs d'équipe
Buts
Lyubomyr Makarov
9
Passes
Phil Symes
16
Points
Michael Dineen
18
Plus/Moins
Anthony Lowry
8
Victoires
Wiktor Ersson
9
Pourcentage d’arrêts
Wiktor Ersson
0.906

Statistiques d’équipe
Buts pour
64
3.76 GFG
Tirs pour
686
40.35 Avg
Pourcentage en avantage numérique
29.0%
9 GF
Début de zone offensive
41.4%
Buts contre
51
3.00 GAA
Tirs contre
509
29.94 Avg
Pourcentage en désavantage numérique
78.6%%
6 GA
Début de la zone défensive
33.3%
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
Assistance1,596
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 55
Espoirs6


Historique d'équipe

Saison actuelle12-4-1 (25PTS)
Historique192-104-34 (0.582%)
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$
3Bernt Metsasalo (A)79X100.006743839759786964816684756990636650740231700,000$
4Michael Dineen (R)24X100.009235566862615290577692997342626350740221900,000$
5Patrick Panitz (R)25X98.306044888971595159917475934450607050730221700,000$
6Lyubomyr Makarov (R)97X100.005136659974935376755099663960746050730231800,000$
7Yakov Raikovsky (C)94X100.00744974657271648594744785917978150720362925,000$
8Remy Rerie (R)45X100.008558897569818359905767629381465750710232700,000$
9Jaimie Pether (R)22X100.0059625890599972966641825244922960507002451,650,000$
10Zach Bamford44X100.003861888343648691854084606268656506803421,000,000$
11Carey Herrington (R)4X100.007051838077956063723268626742696550670222850,000$
12Brook Babcock (R)6X100.007758575459975258744289784744906450650224800,000$
13Kazimir Papazov (R) (A)2X100.0040597473977793892564548584547560507602341,800,000$
14Anthony Lowry (R)7X100.003554788989995294257069679284407150760221800,000$
15Willem Bedard (R)91X100.007140865996998083256945765972757450760212800,000$
16Alex Bjorkegren3X100.008069676760847367715658696956638650680213950,000$
17Kende Pesovnik (R)11X100.007854836057568769256736779042756350670221700,000$
18Daniil Zachest (R)85X100.004755618273725090255671567497746550670222750,000$
Rayé
1John Marianchuk (R)62X100.006738916130827154707981466247957050660221700,000$
2Jadran Dobler (R)68X100.007344638275925185644774254354465950650231775,000$
3Orjan Severin75X100.008685706264536966843848889497904050630281835,000$
4Frank Hilmersson42X100.007563786077528177257357517695882950670301700,000$
5Bo Forslund51X100.003870758293637377253862538989642150660311700,000$
6Lynden Challen (R)57X100.003131688546645856256232908352916450600231700,000$
MOYENNE D’ÉQUIPE99.93635173756978677560606769686669565070
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)29100.007781818280509373628275387656507602431,500,000$
2Wiktor Ersson (R)30100.00886359789187519285498458837650740203800,000$
Rayé
1Ethan Fernhout40100.00646181714979707364756153866050690241700,000$
2Ansu Jarvelainen31100.00505251657882985882557182366250670241700,000$
MOYENNE D’ÉQUIPE100.0070646874757578747365735870645072
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
1Michael DineenSchooners (STI)LW178101822515542675173610.67%1031018.282357270001161158.82%1798001.1612021111
2Phil SymesSchooners (STI)C1721618220425328246.25%529817.53145127000000059.20%29974001.2100000011
3Jaimie PetherSchooners (STI)LW1771017211517157924428.86%228216.63123420000001163.16%19205001.2000010300
4Anthony LowrySchooners (STI)D173141782152294317176.98%1438022.40112428000020000%0712100.8911001111
5Teppana AhrnerSchooners (STI)C1751217410059276421357.81%1230718.081235220000161058.09%303125001.1100000040
6Lyubomyr MakarovSchooners (STI)RW179514200151567153513.43%729417.32224427000001047.37%19152000.9500000111
7Patrick PanitzSchooners (STI)RW176713455211854183311.11%529817.541122210000181059.26%27239000.8700001101
8Bernt MetsasaloSchooners (STI)C17481225521385921296.78%928816.95000000000202155.02%289219000.8302001011
9Yakov RaikovskySchooners (STI)RW177310200421736132919.44%827816.3900001000000062.50%2455000.7203000001
10Daniil ZachestSchooners (STI)D172461100917207610.00%1831018.2600042000004000%034000.3900000000
11Willem BedardSchooners (STI)D17066700212814770%2438622.73000229000021000%017000.3100000000
12Alex BjorkegrenSchooners (STI)D17055122204018153100%2732819.3500001900000000%019000.3000211000
13Zach BamfordSchooners (STI)C164040001124519248.89%31358.4800000000121054.05%37112000.5900000100
14Kazimir PapazovSchooners (STI)D17123-214103163410152.94%1934120.0900000000019100%0318000.1800011000
15Brook BabcockSchooners (STI)LW17112-100271112348.33%31478.6500001000140050.00%212000.2700000010
16Remy RerieSchooners (STI)LW17112595271615686.67%525314.9100000000000070.00%1048000.1613100000
17Carey HerringtonSchooners (STI)RW17112-20015975614.29%21559.13000000000100162.50%814000.2612000000
18Kende PesovnikSchooners (STI)D17000055301514450%1630317.8600012000122000%001100000001000
19John MarianchukSchooners (STI)C1000000011000%022.15000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne3066110516637139754083536862183658.89%189510316.68915243425200041789457.63%1055144124100.654133578107
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)139400.9062.677872035374155200.90911134111
2Brodie HelyarSchooners (STI)43010.8813.93244001613573201.0003413000
Statistiques d’équipe totales ou en moyenne1712410.9002.971031205150922840141717111


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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$75,743$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Ansu JarvelainenSchooners (STI)G242003-12-22FINNo167 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Anthony LowrySchooners (STI)D222005-02-07CANYes234 Lbs6 ft8NoNoFree AgentNoNo12024-07-04FalseFalsePro & Farm800,000$80,000$63,784$No---------------------------
Bernt MetsasaloSchooners (STI)C232004-12-03FINNo174 Lbs5 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Bo ForslundSchooners (STI)D311996-02-06CANNo216 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Brodie HelyarSchooners (STI)G242003-03-20USAYes184 Lbs5 ft7NoNoAssign Manually2025-06-24NoNo32025-09-28FalseFalsePro & Farm1,500,000$150,000$119,595$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$63,784$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$67,770$No850,000$--------850,000$--------No--------
Daniil ZachestSchooners (STI)D222005-02-12RUSYes197 Lbs6 ft2NoNoFree AgentNoNo22025-02-26FalseFalsePro & Farm750,000$75,000$59,797$No750,000$--------750,000$--------No--------
Ethan FernhoutSchooners (STI)G242003-09-23CANNo178 Lbs5 ft10NoNoTrade2024-06-19NoNo1FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Frank HilmerssonSchooners (STI)D301997-01-24SWENo166 Lbs5 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Jadran DoblerSchooners (STI)RW232004-04-16CANYes189 Lbs5 ft10NoNoFree AgentNoNo12024-08-23FalseFalsePro & Farm775,000$77,500$61,791$No---------------------------
Jaimie PetherSchooners (STI)LW242003-09-02USAYes174 Lbs5 ft6NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm1,650,000$165,000$131,554$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$55,811$No---------------------------
Kazimir PapazovSchooners (STI)D232004-09-06RUSYes174 Lbs5 ft5NoNoAssign ManuallyNoNo42025-02-01FalseFalsePro & Farm1,800,000$180,000$143,514$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$55,811$No---------------------------
Lynden ChallenSchooners (STI)D232004-03-12USAYes173 Lbs5 ft8NoNoTrade2025-05-14NoNo1FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Lyubomyr MakarovSchooners (STI)RW232004-10-14UKRYes215 Lbs6 ft1NoNoFree AgentNoNo12024-07-04FalseFalsePro & Farm800,000$80,000$63,784$No---------------------------
Michael DineenSchooners (STI)LW222005-06-19CANYes228 Lbs6 ft6NoNoFree AgentNoNo12024-07-04FalseFalsePro & Farm900,000$90,000$71,757$No---------------------------
Orjan SeverinSchooners (STI)LW281999-10-24SWENo182 Lbs5 ft9NoNoFree AgentNoNo12024-07-11FalseFalsePro & Farm835,000$83,500$66,574$No---------------------------
Patrick PanitzSchooners (STI)RW222005-01-17GERYes210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$55,811$No---------------------------
Phil SymesSchooners (STI)C202007-11-11CANYes207 Lbs6 ft3NoNoDraftNoNo32025-10-09FalseFalsePro & Farm800,000$80,000$63,784$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$55,811$No700,000$--------700,000$--------No--------
Teppana AhrnerSchooners (STI)C212006-05-17FINYes173 Lbs5 ft8NoNoTrade2025-02-25NoNo22025-02-21FalseFalsePro & Farm800,000$80,000$63,784$No800,000$--------800,000$--------No--------
Wiktor ErssonSchooners (STI)G202007-09-15SWEYes182 Lbs6 ft3NoNoDraftNoNo32025-10-09FalseFalsePro & Farm800,000$80,000$63,784$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Willem BedardSchooners (STI)D212006-07-17CANYes222 Lbs6 ft7NoNoDraftNoNo22025-02-19FalseFalsePro & Farm800,000$80,000$63,784$No800,000$--------800,000$--------No--------
Yakov RaikovskySchooners (STI)RW361991-10-01RUSNo221 Lbs6 ft6NoNoN/ANoNo22024-06-05FalseFalsePro & Farm925,000$92,500$73,750$No925,000$--------925,000$--------No--------
Zach BamfordSchooners (STI)C341993-12-01CANNo166 Lbs5 ft8NoNoAssign Manually2024-03-31NoNo22025-02-01FalseFalsePro & Farm1,000,000$100,000$79,730$No1,000,000$--------1,000,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.00195 Lbs6 ft01.89876,250$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael DineenPhil SymesLyubomyr Makarov31023
2Remy RerieTeppana AhrnerPatrick Panitz31122
3Jaimie PetherBernt MetsasaloYakov Raikovsky31023
4Brook BabcockZach BamfordCarey Herrington7122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Willem BedardAnthony Lowry35122
2Kazimir PapazovAlex Bjorkegren35122
3Daniil ZachestKende Pesovnik30122
4Willem BedardAnthony Lowry0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael DineenPhil SymesLyubomyr Makarov50005
2Jaimie PetherTeppana AhrnerPatrick Panitz50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Willem BedardAnthony Lowry50005
2Daniil ZachestAlex Bjorkegren50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Bernt MetsasaloMichael Dineen50050
2Teppana AhrnerPatrick Panitz50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kazimir PapazovKende Pesovnik50140
2Willem BedardAnthony Lowry50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Bernt Metsasalo50050Kazimir PapazovKende Pesovnik50050
2Teppana Ahrner50050Anthony LowryWillem Bedard50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Phil SymesTeppana Ahrner50122
2Bernt MetsasaloMichael Dineen50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Willem BedardAnthony Lowry50122
2Kazimir PapazovKende Pesovnik50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael DineenPhil SymesLyubomyr MakarovWillem BedardTeppana Ahrner
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael DineenTeppana AhrnerPatrick PanitzKazimir PapazovAnthony Lowry
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Yakov Raikovsky, Jaimie Pether, Carey HerringtonYakov Raikovsky, Jaimie PetherCarey Herrington
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniil Zachest, Kende Pesovnik, Kazimir PapazovDaniil ZachestKende Pesovnik, Kazimir Papazov
Tirs de pénalité
Remy Rerie, Yakov Raikovsky, Michael Dineen, Bernt Metsasalo, Carey Herrington
Gardien
#1 : Wiktor Ersson, #2 : Brodie Helyar
Lignes d’attaque personnalisées en prolongation
Phil Symes, Teppana Ahrner, Bernt Metsasalo, Michael Dineen, Lyubomyr Makarov, Patrick Panitz, Yakov Raikovsky, Remy Rerie, Jaimie Pether, Carey Herrington
Lignes de défense personnalisées en prolongation
Willem Bedard, Anthony Lowry, Kazimir Papazov, Alex Bjorkegren, Daniil Zachest


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
1Bulldogs2200000010640000000000022000000106441.0001017270022182149122322123817563431424125.00%30100.00%025843259.72%20434858.62%14626455.30%403253342140289146
2Comets21100000862110000004131010000045-120.5008122000221821477223221238175224840200.00%4175.00%025843259.72%20434858.62%14626455.30%403253342140289146
3Crusaders11000000633000000000001100000063321.0006915002218214382232212381738118234125.00%4175.00%025843259.72%20434858.62%14626455.30%403253342140289146
4Hornets10000010321100000103210000000000021.0003470022182144522322123817267230000%10100.00%025843259.72%20434858.62%14626455.30%403253342140289146
5Hydra21100000871110000006421010000023-120.500815230022182146522322123817581528626350.00%4175.00%025843259.72%20434858.62%14626455.30%403253342140289146
6Kings1000010056-11000010056-10000000000010.50058130022182145022322123817389724000%110.00%025843259.72%20434858.62%14626455.30%403253342140289146
7Rampage11000000211000000000001100000021121.000235002218214302232212381723152222100.00%10100.00%025843259.72%20434858.62%14626455.30%403253342140289146
8Rock21000010853100000104311100000042241.000814220022182147122322123817602219595240.00%2150.00%025843259.72%20434858.62%14626455.30%403253342140289146
9Spartans2020000038-51010000014-31010000024-200.0003580022182148322322123817582812415120.00%6183.33%025843259.72%20434858.62%14626455.30%403253342140289146
10Vipers22000000743110000003121100000043141.0007132000221821489223221238176514248000%10100.00%025843259.72%20434858.62%14626455.30%403253342140289146
11Wolfpack10000010431100000104310000000000021.000459002218214472232212381735102174125.00%10100.00%025843259.72%20434858.62%14626455.30%403253342140289146
Total17940013064511383100130302469630000034277250.735641051690022182146862232212381750918914140831929.03%28678.57%025843259.72%20434858.62%14626455.30%403253342140289146
_Since Last GM Reset17940013064511383100130302469630000034277250.735641051690022182146862232212381750918914140831929.03%28678.57%025843259.72%20434858.62%14626455.30%403253342140289146
_Vs Conference1274000104536942100010151238530000030246160.66745751200022182144552232212381734514912828927829.63%24579.17%025843259.72%20434858.62%14626455.30%403253342140289146
_Vs Division323000001183211000007341120000045-140.6671116270022182141222232212381778311070200.00%5180.00%025843259.72%20434858.62%14626455.30%403253342140289146

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1725W16410516968650918914140800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
179401306451
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83101303024
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
96300003427
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31929.03%28678.57%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
223221238172218214
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
25843259.72%20434858.62%14626455.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
403253342140289146


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 - 2025-12-02212Schooners-Northmen-
33 - 2025-12-04225Yeti-Schooners-
34 - 2025-12-05232Crusaders-Schooners-
36 - 2025-12-07248Rampage-Schooners-
37 - 2025-12-08250Schooners-Kings-
39 - 2025-12-10267Schooners-Stingers-
41 - 2025-12-12279Schooners-Rampage-
43 - 2025-12-14287Schooners-Comets-
45 - 2025-12-16308Devils-Schooners-
47 - 2025-12-18318Schooners-Jacks-
48 - 2025-12-19331Schooners-Stingers-
50 - 2025-12-21341Northmen-Schooners-
51 - 2025-12-22351Phantoms-Schooners-
53 - 2025-12-24362Schooners-Northmen-
55 - 2025-12-26380Schooners-Wild Wings-
57 - 2025-12-28391Stingers-Schooners-
59 - 2025-12-30402Schooners-Jazz-
61 - 2026-01-01412Schooners-Guppies-
62 - 2026-01-02420Schooners-Devils-
64 - 2026-01-04438Schooners-Spartans-
65 - 2026-01-05446Crusaders-Schooners-
67 - 2026-01-07457Jazz-Schooners-
69 - 2026-01-09468Schooners-Crusaders-
71 - 2026-01-11488Schooners-Wild Wings-
73 - 2026-01-13499Bulldogs-Schooners-
75 - 2026-01-15509Northmen-Schooners-
76 - 2026-01-16522Stingers-Schooners-
78 - 2026-01-18533Wild Wings-Schooners-
79 - 2026-01-19542Wolverines-Schooners-
81 - 2026-01-21550Schooners-Auroras-
83 - 2026-01-23569Spartans-Schooners-
85 - 2026-01-25577Schooners-Hydra-
87 - 2026-01-27594Comets-Schooners-
89 - 2026-01-29607Bulldogs-Schooners-
90 - 2026-01-30616Auroras-Schooners-
92 - 2026-02-01628Guppies-Schooners-
94 - 2026-02-03643Schooners-Yeti-
96 - 2026-02-05654Phantoms-Schooners-
97 - 2026-02-06661Schooners-Phantoms-
99 - 2026-02-08676Schooners-Wolfpack-
100 - 2026-02-09683Outlaws-Schooners-
102 - 2026-02-11695Schooners-Phantoms-
104 - 2026-02-13703Schooners-Comets-
106 - 2026-02-15722Rampage-Schooners-
108 - 2026-02-17735Jacks-Schooners-
110 - 2026-02-19745Schooners-Wolverines-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
111 - 2026-02-20754Hydra-Schooners-
113 - 2026-02-22764Schooners-Outlaws-
114 - 2026-02-23772Wild Wings-Schooners-
116 - 2026-02-25783Comets-Schooners-
118 - 2026-02-27799Schooners-Rock-
120 - 2026-03-01813Spartans-Schooners-
122 - 2026-03-03824Schooners-Hornets-
125 - 2026-03-06844Schooners-Spartans-
127 - 2026-03-08853Rock-Schooners-
131 - 2026-03-12867Schooners-Crusaders-
132 - 2026-03-13886Crusaders-Schooners-
134 - 2026-03-15891Schooners-Comets-
137 - 2026-03-18910Comets-Schooners-
139 - 2026-03-20924Spartans-Schooners-
142 - 2026-03-23942Schooners-Spartans-
144 - 2026-03-25946Schooners-Crusaders-
145 - 2026-03-26955Crusaders-Schooners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5025
Assistance8,6684,099
Assistance PCT54.18%51.24%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 1596 - 53.20% 70,334$562,672$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
658,071$ 2,453,500$ 2,453,500$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,453,500$ 658,071$ 28 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,250,688$ 118 21,983$ 2,593,994$




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 Metsasalo28677123200155532847365311.79%129483416.90182947460001419952.97%00.8315
2Yakov Raikovsky306831031865310857342779610.43%127517616.9261723320111416352.03%10.72523
3Jaimie Pether20685731585520633917777810.93%36341416.579182752000010750.72%40.9300
4Patrick Panitz2917276148136324540463311.37%131442915.221382123112412555.68%10.6701
5Michael Dineen136538213559941521745111.75%76242117.8118224046000111443.28%01.11612

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
2Rafal Papps59341490.9212.273459011311660968430.60025
3Brodie Helyar39171630.8983.352202011231204725301.0008
4Ethan Fernhout34141250.8983.271911011041015511110.8577
5Pascal Lord39141850.9092.68219442981077408210.64717

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
51794001306451138310013030246963000003427725641051690022182146862232212381750918914140831929.03%28678.57%025843259.72%20434858.62%14626455.30%403253342140289146
Total Saison régulière337154104018252016107293713516879460121213656243712516975580613710510500104251072178928619828637037857118703891402438042761008734233217814070220429.06%51012276.08%44038778451.88%3479669251.99%2534490651.65%738043797056301160262978
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