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Schooners
GP: 50 | W: 23 | L: 20 | OTL: 7 | P: 53
GF: 164 | GA: 166 | PP%: 26.92% | PK%: 77.69%
DG: Alex Berard | Morale : 50 | Moyenne d’équipe : 70
Prochains matchs #652 vs Devils

Centre de jeu
Schooners
23-20-7, 53pts
3
2 Drillers
27-17-5, 59pts
Team Stats
L1SéquenceOTL1
11-11-4Fiche domicile11-10-3
12-9-3Fiche domicile16-7-2
4-6-0Derniers 10 matchs4-5-1
3.28Buts par match 3.04
3.32Buts contre par match 2.94
26.92%Pourcentage en avantage numérique24.24%
77.69%Pourcentage en désavantage numérique79.41%
Schooners
23-20-7, 53pts
1
2 Wild Wings
21-21-8, 50pts
Team Stats
L1SéquenceW2
11-11-4Fiche domicile9-8-6
12-9-3Fiche domicile12-13-2
4-6-0Derniers 10 matchs6-2-2
3.28Buts par match 3.02
3.32Buts contre par match 3.50
26.92%Pourcentage en avantage numérique26.21%
77.69%Pourcentage en désavantage numérique75.18%
Devils
32-11-6, 70pts
2026-09-09
Schooners
23-20-7, 53pts
Statistiques d’équipe
L1SéquenceL1
16-8-1Fiche domicile11-11-4
16-3-5Fiche visiteur12-9-3
6-2-210 derniers matchs4-6-0
3.65Buts par match 3.28
2.78Buts contre par match 3.28
31.62%Pourcentage en avantage numérique26.92%
74.26%Pourcentage en désavantage numérique77.69%
Stingers
21-24-4, 46pts
2026-09-11
Schooners
23-20-7, 53pts
Statistiques d’équipe
W3SéquenceL1
13-10-3Fiche domicile11-11-4
8-14-1Fiche visiteur12-9-3
8-1-110 derniers matchs4-6-0
2.90Buts par match 3.28
3.18Buts contre par match 3.28
21.50%Pourcentage en avantage numérique26.92%
72.52%Pourcentage en désavantage numérique77.69%
Schooners
23-20-7, 53pts
2026-09-13
Devils
32-11-6, 70pts
Statistiques d’équipe
L1SéquenceL1
11-11-4Fiche domicile16-8-1
12-9-3Fiche visiteur16-3-5
4-6-010 derniers matchs6-2-2
3.28Buts par match 3.65
3.32Buts contre par match 3.65
26.92%Pourcentage en avantage numérique31.62%
77.69%Pourcentage en désavantage numérique74.26%
Meneurs d'équipe
Buts
Lars Rasmussen
25
Passes
Sean Courtemanche
30
Points
Lars Rasmussen
43
Plus/Moins
Sean Courtemanche
18
Victoires
Wiktor Ersson
15
Pourcentage d’arrêts
Brodie Helyar
0.914

Statistiques d’équipe
Buts pour
164
3.28 GFG
Tirs pour
1642
32.84 Avg
Pourcentage en avantage numérique
26.9%
28 GF
Début de zone offensive
37.6%
Buts contre
166
3.32 GAA
Tirs contre
1633
32.66 Avg
Pourcentage en désavantage numérique
77.7%%
27 GA
Début de la zone défensive
37.2%
Informations de l'équipe

Directeur généralAlex Berard
EntraîneurViktor Palmikhin
DivisionAtlantic
ConférenceEastern Conference
CapitaineTeppana Ahrner
Assistant #1
Assistant #2Zach Bamford


Informations de l’aréna

Capacité5,000
Assistance2,623
Billets de saison1,250


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite Contrat45 / 55
Espoirs7


Historique d'équipe

Saison actuelle23-20-7 (53PTS)
Historique257-141-41 (0.585%)
Apparitions en séries éliminatoires 5
Historique en séries éliminatoires (W-L)27 - 25 (0.519%)
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
1Phil Symes (R)19X100.003227697999926463949269663751466650770212800,000$
2Benni Gauss (R)88X98.008760778697667454816869818284666050750192800,000$
3Lars Rasmussen (R)46X100.007855537583818671746478756754597850750193900,000$
4Harding Fremlin73X100.004340999266617763999195328366471950740321700,000$
5Remy Rerie45X100.008558897568808358905666619381465250710241700,000$
6Ludwig Delhaye61X100.00795460864362678296924556923599150700381700,000$
7Sean Courtemanche (R)14X100.007052646872717683907535663434606750700213800,000$
8Germaine Goodhew8X100.005756949448845077884994504072847506903411,000,000$
9Joey Dibrina (R)71X100.006157768258966176574164877381497350680214950,000$
10Zach Bamford (A)44X100.003761888243658690843985586268650506703511,000,000$
11Harris Topp (R)56X100.006641566271955861704291768131916350670222802,000$
12Kevin Quenneville (R)81X99.003537707340926871618071424139586850660214700,000$
13Willem Bedard (R)91X100.007240876097998283257150785972756850780221800,000$
14Tomas Ostman (R)22X100.0076358697828987572561395152688170507202141,500,000$
15Alex Bjorkegren3X100.008269666760857467716058696956638250690222950,000$
16Daniil Zachest (R)85X100.004755608174765290255772557497746250680231750,000$
17Veli-Harri Rakkolainen (R)13X100.005341548969797555259053595127597450680214850,000$
18Kende Pesovnik (R)11X100.0078548359565687682567357790427558506702351,150,000$
Rayé
1Agust Danell (R)54X100.005968708888836466616866898269617050740193800,000$
2Carey Herrington (R)4X100.007051847975966262723167616742696150660231850,000$
3Brook Babcock (R)6X100.007858575357975357744188774744906150650233800,000$
4Lazlo Sergent38X97.1788626173938484852534726034955256507102551,250,000$
5Lynden Challen (R)57X100.003031688845635855256231918352916150600243700,000$
MOYENNE D’ÉQUIPE99.75645173786981716962626566655968565070
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)29100.007781818380509374638275387650507602521,500,000$
2Wiktor Ersson (R)30100.00906562799389539386518758837150760212800,000$
Rayé
1Ethan Fernhout40100.006461817149797073647561538660506902541,000,000$
MOYENNE D’ÉQUIPE100.0077697578747372807169745082605074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Viktor Palmikhin59867363998981RUS402800,000$


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 AhrnerStingraysC34143246137257487122358011.48%2868520.172111310551126561150.76%7251921011.3403122322
2Lars RasmussenSchooners (STI)LW452518436101659872131367619.08%1974316.5373101271000015236.59%411612021.1600544423
3Sean CourtemancheSchooners (STI)C501130411882509286103406310.68%1683016.62336972000002051.21%8281320000.9900055123
4Jaimie PetherStingraysLW4022184041788057451986813011.11%1676819.21661218620117542360.32%636015001.0403547233
5Phil SymesSchooners (STI)C50152338-181202490126385811.90%2485717.163471778000040055.93%7172615000.8901000053
6Agust DanellSchooners (STI)LW4291928-8452578679524639.47%2273917.602689561234662051.16%433421000.7601104421
7Kevin QuennevilleSchooners (STI)RW411592461410133198226315.31%662515.26022219000003240.00%35226000.7700011341
8Benni GaussSchooners (STI)RW4811819-29765747674263814.86%2780916.870222331014713056.70%972027000.4702445111
9Germaine GoodhewSchooners (STI)RW507111831010301910026527.00%84829.6600019000001033.33%9335100.7500002001
10Daniil ZachestSchooners (STI)D50413176937556577429335.41%44103720.76101571000295110%03731000.3300555000
11Willem BedardSchooners (STI)D47214160141054794820144.17%5390019.16011340000026000%0733000.3601011001
12Harding FremlinSchooners (STI)RW316814-11101010227514418.00%544614.41011020000001061.54%26256000.6301002002
13Alex BjorkegrenSchooners (STI)D502111301116579874014185.00%4493418.69101112000579000%0429000.2800436000
14Lazlo SergentSchooners (STI)D4521012-1645093555617233.57%3397421.65213763000378010%0829000.2500244100
15Veli-Harri RakkolainenSchooners (STI)D5029112613553694320174.65%6599619.9311215200005000%02733000.2200430000
16Zach BamfordSchooners (STI)C494610-1755358829504.55%64298.77000010000370155.29%170146000.4700100000
17Joey DibrinaSchooners (STI)RW36459-3343042685016448.00%2054415.13000010000251046.15%391111000.3300114100
18Tomas OstmanSchooners (STI)D5008800062443810140%44106321.28022385000176000%01526000.1500000000
19Ludwig DelhayeSchooners (STI)C19347-333254128336179.09%427614.56000001011260156.55%26778000.5100023010
20Remy RerieSchooners (STI)LW214045003017144728.57%51969.37000000000120050.00%813000.4100000000
21Harris ToppSchooners (STI)LW41123-51355247339233.03%1742710.43011030000110138.89%18014000.1411001001
22Kende PesovnikSchooners (STI)D11011-8751263230%812211.1000001000010000%007000.1600001000
Statistiques d’équipe totales ou en moyenne900163259422-910236451129118716425059279.93%5141489616.5528447210081444833742221352.82%3086399378130.57113333957202222
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)35151360.8933.372049201151071448210.769133416131
2Brodie HelyarSchooners (STI)188710.9142.96972004856135410001634300
Statistiques d’équipe totales ou en moyenne53232070.9003.24302120163163280231135050431


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
Agust DanellSchooners (STI)LW192009-07-30SWEYes206 Lbs6 ft1NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$33,197$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Alex BjorkegrenSchooners (STI)D222006-11-15SWENo233 Lbs6 ft8NoNoAssign ManuallyNoNo22025-10-26FalseFalsePro & Farm950,000$95,000$39,422$No950,000$--------950,000$--------No--------
Benni GaussSchooners (STI)RW192009-05-25SUIYes196 Lbs6 ft5NoNoTrade2026-06-03NoNo22025-10-09FalseFalsePro & Farm800,000$80,000$33,197$No800,000$--------800,000$--------No--------
Brodie HelyarSchooners (STI)G252003-03-20USAYes184 Lbs5 ft7NoNoAssign Manually2025-06-24NoNo22025-09-28FalseFalsePro & Farm1,500,000$150,000$62,245$No1,500,000$--------1,500,000$--------No--------
Brook BabcockSchooners (STI)LW232005-10-03CANYes213 Lbs6 ft8NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm800,000$80,000$33,197$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Carey HerringtonSchooners (STI)RW232005-04-21CANYes206 Lbs6 ft8NoNoFree AgentNoNo12025-02-27FalseFalsePro & Farm850,000$85,000$35,272$No---------------------------
Daniil ZachestSchooners (STI)D232005-02-12RUSYes197 Lbs6 ft2NoNoFree AgentNoNo12025-02-26FalseFalsePro & Farm750,000$75,000$31,122$No---------------------------
Ethan FernhoutSchooners (STI)G252003-09-23CANNo178 Lbs5 ft10NoNoAssign Manually2024-06-19NoNo42026-05-02FalseFalsePro & Farm1,000,000$100,000$41,497$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------
Germaine GoodhewSchooners (STI)RW341994-05-14USANo204 Lbs5 ft11NoNoFree AgentNoNo12026-05-03FalseFalsePro & Farm1,000,000$100,000$41,497$No---------------------------
Harding FremlinSchooners (STI)RW321996-03-11USANo240 Lbs6 ft7NoNoTrade2024-10-18NoNo1FalseFalsePro & Farm700,000$70,000$29,048$No---------------------------
Harris ToppSchooners (STI)LW222006-08-23USAYes220 Lbs6 ft6NoNoFree AgentNoNo22025-12-20FalseFalsePro & Farm802,000$80,200$33,280$No802,000$--------802,000$--------No--------
Joey DibrinaSchooners (STI)RW212007-11-17CANYes169 Lbs6 ft1NoNoFree AgentNoNo42026-05-31FalseFalsePro & Farm950,000$95,000$39,422$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------
Kende PesovnikSchooners (STI)D232005-05-16HUNYes187 Lbs5 ft8NoNoAssign ManuallyNoNo52026-05-02FalseFalsePro & Farm1,150,000$115,000$47,721$No1,150,000$1,150,000$1,150,000$1,150,000$-----1,150,000$1,150,000$1,150,000$1,150,000$-----NoNoNoNo-----
Kevin QuennevilleSchooners (STI)RW212007-07-15CANYes181 Lbs6 ft1NoNoFree AgentNoNo42026-05-31FalseFalsePro & Farm700,000$70,000$29,048$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------
Lars RasmussenSchooners (STI)LW192009-11-05DENYes167 Lbs6 ft4NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$37,347$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Lazlo SergentSchooners (STI)D252003-11-12USANo184 Lbs5 ft8NoNoFree AgentNoNo52026-06-06FalseFalsePro & Farm1,250,000$125,000$51,871$No1,250,000$1,250,000$1,250,000$1,250,000$-----1,250,000$1,250,000$1,250,000$1,250,000$-----NoNoNoNo-----
Ludwig DelhayeSchooners (STI)C381990-05-14FRANo181 Lbs5 ft8NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm700,000$70,000$29,048$No---------------------------
Lynden ChallenSchooners (STI)D242004-03-12USAYes173 Lbs5 ft8NoNoAssign Manually2025-05-14NoNo32026-05-02FalseFalsePro & Farm700,000$70,000$29,048$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Phil SymesSchooners (STI)C212007-11-11CANYes207 Lbs6 ft3NoNoDraftNoNo22025-10-09FalseFalsePro & Farm800,000$80,000$33,197$No800,000$--------800,000$--------No--------
Remy RerieSchooners (STI)LW242004-04-15CANNo183 Lbs5 ft8NoNoTrade2024-10-18NoNo12024-07-13FalseFalsePro & Farm700,000$70,000$29,048$No---------------------------
Sean CourtemancheSchooners (STI)C212007-12-21CANYes217 Lbs6 ft5NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$33,197$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Tomas OstmanSchooners (STI)D212007-06-14SWEYes176 Lbs6 ft2NoNoFree AgentNoNo42026-05-31FalseFalsePro & Farm1,500,000$150,000$62,245$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
Veli-Harri RakkolainenSchooners (STI)D212007-03-22FINYes209 Lbs6 ft7NoNoFree AgentNoNo42026-05-31FalseFalsePro & Farm850,000$85,000$35,272$No850,000$850,000$850,000$------850,000$850,000$850,000$------NoNoNo------
Wiktor ErssonSchooners (STI)G212007-09-15SWEYes182 Lbs6 ft3NoNoDraftNoNo22025-10-09FalseFalsePro & Farm800,000$80,000$33,197$No800,000$--------800,000$--------No--------
Willem BedardSchooners (STI)D222006-07-17CANYes222 Lbs6 ft7NoNoDraftNoNo12025-02-19FalseFalsePro & Farm800,000$80,000$33,197$No---------------------------
Zach BamfordSchooners (STI)C351993-12-01CANNo166 Lbs5 ft8NoNoAssign Manually2024-03-31NoNo12025-02-01FalseFalsePro & Farm1,000,000$100,000$41,497$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.00195 Lbs6 ft22.50905,846$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lars RasmussenSean CourtemancheKevin Quenneville32131
2Benni GaussPhil SymesJoey Dibrina31014
3Harris ToppLudwig DelhayeHarding Fremlin30032
4Remy RerieZach BamfordGermaine Goodhew7041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Willem BedardKende Pesovnik34023
2Tomas OstmanAlex Bjorkegren33032
3Veli-Harri RakkolainenDaniil Zachest33032
4Kende PesovnikTomas Ostman0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Harding FremlinPhil SymesLars Rasmussen50005
2Benni GaussSean CourtemancheKevin Quenneville50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Willem BedardTomas Ostman50005
2Alex BjorkegrenDaniil Zachest50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ludwig DelhayeJoey Dibrina50050
2Zach BamfordBenni Gauss50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tomas OstmanDaniil Zachest50050
2Kende PesovnikAlex Bjorkegren50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ludwig Delhaye50050Veli-Harri RakkolainenDaniil Zachest50050
2Zach Bamford50050Kende PesovnikAlex Bjorkegren50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sean CourtemancheJoey Dibrina50122
2Phil SymesKevin Quenneville50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tomas OstmanVeli-Harri Rakkolainen50122
2Kende PesovnikDaniil Zachest50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lars RasmussenPhil SymesKevin QuennevilleTomas OstmanDaniil Zachest
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joey DibrinaLudwig DelhayePhil SymesTomas OstmanAlex Bjorkegren
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Quenneville, Sean Courtemanche, Joey DibrinaGermaine Goodhew, Sean CourtemancheJoey Dibrina
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Veli-Harri Rakkolainen, Daniil Zachest, Kende PesovnikVeli-Harri RakkolainenDaniil Zachest, Kende Pesovnik
Tirs de pénalité
Remy Rerie, Harris Topp, Harding Fremlin, Benni Gauss, Phil Symes
Gardien
#1 : Wiktor Ersson, #2 : Brodie Helyar
Lignes d’attaque personnalisées en prolongation
Phil Symes, Benni Gauss, Lars Rasmussen, Sean Courtemanche, Harding Fremlin, Kevin Quenneville, Joey Dibrina, Ludwig Delhaye, Remy Rerie, Germaine Goodhew
Lignes de défense personnalisées en prolongation
Daniil Zachest, Tomas Ostman, Willem Bedard, Alex Bjorkegren, Veli-Harri Rakkolainen


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
TotalDomicile Visiteur
# 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 RI
1Auroras11000000413000000000001100000041321.000461000505951426565525530342991327200.00%4175.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
2Bulldogs1000010045-11000010045-10000000000010.5004711005059514405655255303428928142150.00%4250.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
3Comets514000001420-62110000089-130300000611-520.20014223600505951415956552553034179611061314250.00%13653.85%0606115352.56%594114052.11%43077155.77%10596171089442879433
4Crusaders63100200221754310000016972000020068-280.66722375900505951421756552553034194727312210330.00%100100.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
5Drillers21001000844110000005231000100032141.000813210050595145756552553034632123388225.00%4175.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
6Guppies21000010734110000004131000001032141.000710170050595146956552553034782030436116.67%5180.00%1606115352.56%594114052.11%43077155.77%10596171089442879433
7Hornets11000000211110000002110000000000021.000224005059514415655255303435121119100.00%3166.67%0606115352.56%594114052.11%43077155.77%10596171089442879433
8Hydra211000005501010000012-11100000043120.50057120050595144156552553034601938376350.00%4175.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
9Jazz42200000131032110000056-12110000084440.500131932005059514109565525530341343312479200.00%120100.00%3606115352.56%594114052.11%43077155.77%10596171089442879433
10Kings10001000651000000000001000100065121.000691500505951440565525530342876333266.67%3166.67%0606115352.56%594114052.11%43077155.77%10596171089442879433
11Outlaws21100000512-7110000004311010000019-820.500510150050595147156552553034692210045700.00%5260.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
12Phantoms11000000642000000000001100000064221.000611170050595142756552553034371228232150.00%4175.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
13Rampage1000000134-1000000000001000000134-110.500369005059514255655255303433817253266.67%10100.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
14Rock413000001316-320200000511-62110000085320.25013173000505951415356552553034116391068812216.67%13284.62%0606115352.56%594114052.11%43077155.77%10596171089442879433
15Spartans613011001924-5311001001111030201000813-550.417192948105059514228565525530341865811813514428.57%9366.67%0606115352.56%594114052.11%43077155.77%10596171089442879433
16Stingers11000000514110000005140000000000021.00057120050595142556552553034359261911100.00%30100.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
17Swamp Puppies210001009811000010045-11100000053230.750915240050595145556552553034682453473133.33%9366.67%0606115352.56%594114052.11%43077155.77%10596171089442879433
18Vipers2110000034-11010000013-21100000021120.500347005059514655655255303469163352100.00%40100.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
19Wild Wings30200001610-42010000158-31010000012-110.1676121800505951410156552553034853540751000.00%50100.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
20Wolverines1010000035-21010000035-20000000000000.000369005059514265655255303428711303133.33%30100.00%0606115352.56%594114052.11%43077155.77%10596171089442879433
21Yeti211000007701010000034-11100000043120.500710170050595146756552553034792141474250.00%3233.33%0606115352.56%594114052.11%43077155.77%10596171089442879433
Total50192003512164166-226111100301868602489032117880-2530.5301642594231050595141642565525530341633514102511291042826.92%1212777.69%4606115352.56%594114052.11%43077155.77%10596171089442879433
_Since Last GM Reset50192003512164166-226111100301868602489032117880-2530.5301642594231050595141642565525530341633514102511291042826.92%1212777.69%4606115352.56%594114052.11%43077155.77%10596171089442879433
_Vs Conference35111601502113120-71978003016467-31648012014953-4310.4431131782911050595141153565525530341118367729772671928.36%831779.52%3606115352.56%594114052.11%43077155.77%10596171089442879433
_Vs Division115801300353417530010024213405012001113-2150.6823559940050595143855655255303435812815424424520.83%18288.89%0606115352.56%594114052.11%43077155.77%10596171089442879433

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5053L1164259423164216335141025112910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5019203512164166
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
26111103018686
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
248932117880
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1042826.92%1212777.69%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
565525530345059514
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
606115352.56%594114052.11%43077155.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10596171089442879433


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 - 2026-06-141Schooners4Crusaders5LXSommaire du match
3 - 2026-06-1625Jazz1Schooners2WSommaire du match
4 - 2026-06-1730Schooners3Rampage4LXXSommaire du match
6 - 2026-06-1949Hydra2Schooners1LSommaire du match
8 - 2026-06-2163Wild Wings5Schooners4LXXSommaire du match
10 - 2026-06-2373Schooners2Comets4LSommaire du match
12 - 2026-06-2588Schooners1Outlaws9LSommaire du match
13 - 2026-06-26101Crusaders1Schooners4WSommaire du match
15 - 2026-06-28114Comets3Schooners5WSommaire du match
17 - 2026-06-30130Schooners5Spartans4WXSommaire du match
18 - 2026-07-01136Hornets1Schooners2WSommaire du match
20 - 2026-07-03151Schooners2Rock3LSommaire du match
22 - 2026-07-05169Schooners4Yeti3WSommaire du match
24 - 2026-07-07179Yeti4Schooners3LSommaire du match
26 - 2026-07-09193Schooners1Spartans4LSommaire du match
27 - 2026-07-10205Spartans2Schooners5WSommaire du match
29 - 2026-07-12210Schooners2Comets3LSommaire du match
30 - 2026-07-13223Schooners6Kings5WXSommaire du match
32 - 2026-07-15237Schooners1Jazz3LSommaire du match
34 - 2026-07-17256Swamp Puppies5Schooners4LXSommaire du match
36 - 2026-07-19268Outlaws3Schooners4WSommaire du match
37 - 2026-07-20276Rock4Schooners3LSommaire du match
39 - 2026-07-22290Vipers3Schooners1LSommaire du match
41 - 2026-07-24307Crusaders1Schooners4WSommaire du match
43 - 2026-07-26314Schooners3Guppies2WXXSommaire du match
44 - 2026-07-27330Stingers1Schooners5WSommaire du match
47 - 2026-07-30350Spartans6Schooners5LXSommaire du match
48 - 2026-07-31360Schooners6Rock2WSommaire du match
50 - 2026-08-02374Jazz5Schooners3LSommaire du match
52 - 2026-08-04389Rock7Schooners2LSommaire du match
54 - 2026-08-06401Bulldogs5Schooners4LXSommaire du match
55 - 2026-08-07414Schooners2Spartans5LSommaire du match
57 - 2026-08-09421Schooners4Hydra3WSommaire du match
58 - 2026-08-10433Schooners6Phantoms4WSommaire du match
60 - 2026-08-12449Schooners2Vipers1WSommaire du match
62 - 2026-08-14462Schooners7Jazz1WSommaire du match
64 - 2026-08-16476Guppies1Schooners4WSommaire du match
65 - 2026-08-17486Crusaders2Schooners4WSommaire du match
68 - 2026-08-20502Schooners2Crusaders3LXSommaire du match
69 - 2026-08-21516Comets6Schooners3LSommaire du match
71 - 2026-08-23530Schooners5Swamp Puppies3WSommaire du match
73 - 2026-08-25541Schooners4Auroras1WSommaire du match
75 - 2026-08-27557Drillers2Schooners5WSommaire du match
76 - 2026-08-28568Wild Wings3Schooners1LSommaire du match
78 - 2026-08-30581Crusaders5Schooners4LSommaire du match
80 - 2026-09-01594Wolverines5Schooners3LSommaire du match
81 - 2026-09-02600Schooners2Comets4LSommaire du match
83 - 2026-09-04621Spartans3Schooners1LSommaire du match
85 - 2026-09-06628Schooners3Drillers2WXSommaire du match
86 - 2026-09-07643Schooners1Wild Wings2LSommaire du match
88 - 2026-09-09652Devils-Schooners-
90 - 2026-09-11670Stingers-Schooners-
92 - 2026-09-13677Schooners-Devils-
93 - 2026-09-14690Schooners-Hornets-
96 - 2026-09-17712Hydra-Schooners-
99 - 2026-09-20735Jacks-Schooners-
101 - 2026-09-22748Comets-Schooners-
102 - 2026-09-23751Schooners-Bulldogs-
104 - 2026-09-25768Schooners-Hydra-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27782Schooners-Jacks-
107 - 2026-09-28791Schooners-Stingers-
109 - 2026-09-30806Wolfpack-Schooners-
111 - 2026-10-02826Schooners-Wolverines-
113 - 2026-10-04835Schooners-Spartans-
115 - 2026-10-06849Comets-Schooners-
117 - 2026-10-08859Schooners-Crusaders-
118 - 2026-10-09865Schooners-Crusaders-
120 - 2026-10-11884Northmen-Schooners-
122 - 2026-10-13898Schooners-Wolfpack-
124 - 2026-10-15910Phantoms-Schooners-
125 - 2026-10-16918Schooners-Northmen-
127 - 2026-10-18930Auroras-Schooners-
128 - 2026-10-19939Schooners-Rampage-
130 - 2026-10-21949Schooners-Spartans-
132 - 2026-10-23958Schooners-Comets-
134 - 2026-10-25974Kings-Schooners-
135 - 2026-10-26983Rampage-Schooners-
139 - 2026-10-30998Schooners-Comets-
144 - 2026-11-041032Spartans-Schooners-
147 - 2026-11-071038Crusaders-Schooners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets5025
Assistance42,74625,442
Assistance PCT54.80%48.93%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
14 2623 - 52.45% 138,668$3,605,355$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,923,384$ 2,355,200$ 2,355,200$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,355,200$ 1,455,338$ 26 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,941,345$ 61 21,464$ 1,309,304$




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
1Jaimie Pether30913311224549444522289123910.73%72528517.11222547880118141152.92%50.9303
2Bernt Metsasalo34996147243157241459381311.81%159593117.001933525111219201052.20%10.8215
3Yakov Raikovsky361921202125712268949689410.29%150612416.9762026360221516351.89%10.69726
4Michael Dineen196731151881810959028666610.96%105347917.7521295068000316440.00%11.08814
5Teppana Ahrner177731131864111949534453313.70%106330418.6782533352131710150.23%11.1303

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 Ersson94533090.9042.9855996027828821200530.82935
3Brodie Helyar75382750.9033.1342152122022691371601.0008
4Rafal Papps59341490.9212.273459011311660968430.60025
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
650192003512164166-226111100301868602489032117880-2531642594231050595141642565525530341633514102511291042826.92%1212777.69%4606115352.56%594114052.11%43077155.77%10596171089442879433
Total Saison régulière450209141023342518146812821862261076701416157759613146224102740918101170966940566146824263894128405517498691584252475390501134013663462048391069192925527.45%70717075.95%1154031039651.97%4772917652.01%3436665451.64%983758549482399679803951
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
5624000001722-53120000069-3312000001113-241728450077302147361800194708214313215.38%70100.00%07214250.70%7514751.02%6010358.25%136841224810154
Total Séries éliminatoires522725000001681644271215000008591-6251510000008373105416828245011576740417966246165431317186166331232822631.71%611181.97%0587115550.82%558109251.10%40478151.73%11116621128449906451

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 Metsasalo52112334-217457010110.89%1883015.97167400011050.21%00.8200
2Yakov Raikovsky5292029-12294771068.49%2986616.66202300001156.14%00.6700
3Michael Dineen25121022-6272427915.19%1544517.83437800002139.13%00.9900
4Stephan Preston19147214840308416.67%1033217.49000200004153.98%11.2600
5Zach Bamford25147212209388416.67%1039215.71303400001049.37%01.0700

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 Helyar106220.8893.73499150312791702000
4Rafal Papps103510.8973.4256200323121900100
5Wiktor Ersson62300.8983.233530019187810000