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Schooners
GP: 54 | W: 25 | L: 22 | OTL: 7 | P: 57
GF: 176 | GA: 177 | PP%: 25.86% | PK%: 78.29%
DG: Alex Berard | Morale : 50 | Moyenne d’équipe : 70
Prochains matchs #712 vs Hydra

Centre de jeu
Schooners
25-22-7, 57pts
2
4 Devils
34-13-6, 74pts
Team Stats
L2SéquenceL1
13-11-4Fiche domicile17-8-1
12-11-3Fiche domicile17-5-5
3-7-0Derniers 10 matchs6-3-1
3.26Buts par match 3.62
3.28Buts contre par match 2.77
25.86%Pourcentage en avantage numérique29.92%
78.29%Pourcentage en désavantage numérique73.15%
Schooners
25-22-7, 57pts
2
3 Hornets
30-19-5, 65pts
Team Stats
L2SéquenceW4
13-11-4Fiche domicile16-10-2
12-11-3Fiche domicile14-9-3
3-7-0Derniers 10 matchs6-2-2
3.26Buts par match 3.22
3.28Buts contre par match 2.91
25.86%Pourcentage en avantage numérique21.85%
78.29%Pourcentage en désavantage numérique68.42%
Hydra
28-19-6, 62pts
2026-09-17
Schooners
25-22-7, 57pts
Statistiques d’équipe
SOL1SéquenceL2
15-9-2Fiche domicile13-11-4
13-10-4Fiche visiteur12-11-3
5-3-210 derniers matchs3-7-0
2.92Buts par match 3.26
2.87Buts contre par match 3.26
21.49%Pourcentage en avantage numérique25.86%
74.10%Pourcentage en désavantage numérique78.29%
Jacks
27-21-4, 58pts
2026-09-20
Schooners
25-22-7, 57pts
Statistiques d’équipe
L1SéquenceL2
14-11-1Fiche domicile13-11-4
13-10-3Fiche visiteur12-11-3
7-3-010 derniers matchs3-7-0
3.35Buts par match 3.26
3.37Buts contre par match 3.26
31.82%Pourcentage en avantage numérique25.86%
76.16%Pourcentage en désavantage numérique78.29%
Comets
34-13-6, 74pts
2026-09-22
Schooners
25-22-7, 57pts
Statistiques d’équipe
SOL1SéquenceL2
15-6-6Fiche domicile13-11-4
19-7-0Fiche visiteur12-11-3
6-3-110 derniers matchs3-7-0
3.49Buts par match 3.26
2.75Buts contre par match 3.26
26.00%Pourcentage en avantage numérique25.86%
72.88%Pourcentage en désavantage numérique78.29%
Meneurs d'équipe
Buts
Lars Rasmussen
26
Passes
Sean Courtemanche
33
Points
Lars Rasmussen
46
Plus/Moins
Sean Courtemanche
17
Victoires
Wiktor Ersson
16
Pourcentage d’arrêts
Brodie Helyar
0.912

Statistiques d’équipe
Buts pour
176
3.26 GFG
Tirs pour
1751
32.43 Avg
Pourcentage en avantage numérique
25.9%
30 GF
Début de zone offensive
37.4%
Buts contre
177
3.28 GAA
Tirs contre
1755
32.50 Avg
Pourcentage en désavantage numérique
78.3%%
28 GA
Début de la zone défensive
37.5%
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
Assistance2,627
Billets de saison1,250


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite Contrat44 / 55
Espoirs6


Historique d'équipe

Saison actuelle25-22-7 (57PTS)
Historique259-143-41 (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
1Benni Gauss (R)88X99.008760778697667454816869818284666050750192800,000$
2Lars Rasmussen (R)46X100.007855537583818671746478756754597850750193900,000$
3Harding Fremlin73X99.004340999266617763999195328366471950740321700,000$
4Jaimie Pether (R)22X100.0061625791629974986643845344922954507202541,650,000$
5Remy Rerie45X100.008558897568808358905666619381465250710241700,000$
6Sean Courtemanche (R)14X98.007052646872717683907535663434606750700213800,000$
7Joey Dibrina (R)71X100.006157768258966176574164877381497350680214950,000$
8Zach Bamford (A)44X100.003761888243658690843985586268650506703511,000,000$
9Harris Topp (R)56X100.006641566271955861704291768131916350670222802,000$
10Kevin Quenneville (R)81X100.003537707340926871618071424139586850660214700,000$
11Tomas Ostman (R)22X100.0076358697828987572561395152688170507202141,500,000$
12Lazlo Sergent38X100.0088626173938484852534726034955256507102551,250,000$
13Alex Bjorkegren3X100.008269666760857467716058696956638250690222950,000$
14Daniil Zachest (R)85X100.004755608174765290255772557497746250680231750,000$
15Veli-Harri Rakkolainen (R)13X100.005341548969797555259053595127597450680214850,000$
16Kende Pesovnik (R)11X100.0078548359565687682567357790427558506702351,150,000$
Rayé
1Phil Symes (R)19X85.823227697999926463949269663751466650770212800,000$
2Ludwig Delhaye61X88.75795460864362678296924556923599150700381700,000$
3Germaine Goodhew8X89.665756949448845077884994504072847506903411,000,000$
4Carey Herrington (R)4X100.007051847975966262723167616742696150660231850,000$
5Brook Babcock (R)6X100.007858575357975357744188774744906150650233800,000$
6Lynden Challen (R)57X100.003031688845635855256231918352916150600243700,000$
MOYENNE D’ÉQUIPE98.19635171796680717064616664636066545069
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)3099.00906562799389539386518758837150760212800,000$
Rayé
1Ethan Fernhout40100.006461817149797073647561538660506902541,000,000$
MOYENNE D’ÉQUIPE99.6777697578747372807169745082605074
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)LW4926204651067010275143377718.18%2180916.5373101281000015237.78%451615021.1400545423
3Sean CourtemancheSchooners (STI)C5411334417825098100105436710.48%1790216.71336982000012051.23%8921523000.9800055123
4Jaimie PetherSchooners (STI)LW4223184131788062482107113610.95%1780619.21761320680117552361.54%656415001.0203547233
5Phil SymesSchooners (STI)C54152540-181402698132395911.36%2892217.073581787000060055.74%7662816000.8701000053
6Kevin QuennevilleSchooners (STI)RW45161026516101533108247014.81%770015.58022229000003242.00%50286000.7400011341
7Germaine GoodhewSchooners (STI)RW549122141010322311028578.18%85149.53000110000002036.36%11336100.8200002012
8Harding FremlinSchooners (STI)RW3571219-10101011248017498.75%651214.65033130000011053.19%47286000.7401002002
9Benni GaussSchooners (STI)RW5211819-310270848086284212.79%2788216.970222431016773056.86%1022028000.4302545111
10Daniil ZachestSchooners (STI)D54414183988057627730335.19%50112320.801015810002103110%03733000.3200556000
11Willem BedardStingraysD4921416-1141054805022144.00%5494019.20011345000028000%0835000.3401011001
12Alex BjorkegrenSchooners (STI)D542121441196590934315224.65%48101418.79101122000583000%0532000.2800436000
13Lazlo SergentSchooners (STI)D4931013-26850100626120254.92%36104921.43213763000382010%0931000.2500244100
14Zach BamfordSchooners (STI)C5357121755379932575.05%74758.96000030001440154.74%190148000.5100100100
15Veli-Harri RakkolainenSchooners (STI)D543912-1613558754423196.82%70106619.7621325200006000%02836000.2200430000
16Joey DibrinaSchooners (STI)RW405510-3343051795518519.09%2361415.37000010000311046.51%431313000.3300114101
17Ludwig DelhayeSchooners (STI)C22459-3332544323571711.43%631214.18000001011291156.45%31078000.5800023010
18Tomas OstmanSchooners (STI)D5409930067523911150%48114821.27022395000181000%01630000.1600000000
19Remy RerieSchooners (STI)LW2440480032201641025.00%52289.52000010000120044.44%924000.3500000000
20Harris ToppSchooners (STI)LW45224-713557543612255.56%2147110.47011030000110136.84%19015000.1711001001
21Kende PesovnikSchooners (STI)D13022-7751395250%1116012.3600001000012000%0112000.2500001000
Statistiques d’équipe totales ou en moyenne930166259425-1100963511321223165651893010.02%5381534416.502841699586032532727221352.75%3274391393130.55112333955172123
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)37161460.8943.292168201191126460210.769133618231
2Brodie HelyarSchooners (STI)209810.9123.021092005562839510001836300
Statistiques d’équipe totales ou en moyenne57252270.9013.20326020174175485531135454531


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)D222006-11-15SWENo233 Lbs6 ft8NoNoAssign ManuallyNoNo22025-10-26FalseFalsePro & Farm950,000$95,000$34,898$No950,000$--------950,000$--------No--------
Benni GaussSchooners (STI)RW192009-05-25SUIYes196 Lbs6 ft5NoNoTrade2026-06-03NoNo22025-10-09FalseFalsePro & Farm800,000$80,000$29,388$No800,000$--------800,000$--------No--------
Brodie HelyarSchooners (STI)G252003-03-20USAYes184 Lbs5 ft7NoNoAssign Manually2025-06-24NoNo22025-09-28FalseFalsePro & Farm1,500,000$150,000$55,102$No1,500,000$--------1,500,000$--------No--------
Brook BabcockSchooners (STI)LW232005-10-03CANYes213 Lbs6 ft8NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm800,000$80,000$29,388$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Carey HerringtonSchooners (STI)RW232005-04-21CANYes206 Lbs6 ft8NoNoFree AgentNoNo12025-02-27FalseFalsePro & Farm850,000$85,000$31,224$No---------------------------
Daniil ZachestSchooners (STI)D232005-02-12RUSYes197 Lbs6 ft2NoNoFree AgentNoNo12025-02-26FalseFalsePro & Farm750,000$75,000$27,551$No---------------------------
Ethan FernhoutSchooners (STI)G252003-09-23CANNo178 Lbs5 ft10NoNoAssign Manually2024-06-19NoNo42026-05-02FalseFalsePro & Farm1,000,000$100,000$36,735$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------
Germaine Goodhew (sur la masse salariale)Schooners (STI)RW341994-05-14USANo204 Lbs5 ft11NoNoFree AgentNoNo12026-05-03FalseFalsePro & Farm1,000,000$0$0$Yes---------------------------
Harding FremlinSchooners (STI)RW321996-03-11USANo240 Lbs6 ft7NoNoTrade2024-10-18NoNo1FalseFalsePro & Farm700,000$70,000$25,714$No---------------------------
Harris ToppSchooners (STI)LW222006-08-23USAYes220 Lbs6 ft6NoNoFree AgentNoNo22025-12-20FalseFalsePro & Farm802,000$80,200$29,461$No802,000$--------802,000$--------No--------
Jaimie PetherSchooners (STI)LW252003-09-02USAYes174 Lbs5 ft6NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm1,650,000$165,000$60,612$No1,650,000$1,650,000$1,650,000$------1,650,000$1,650,000$1,650,000$------NoNoNo------
Joey DibrinaSchooners (STI)RW212007-11-17CANYes169 Lbs6 ft1NoNoFree AgentNoNo42026-05-31FalseFalsePro & Farm950,000$95,000$34,898$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$42,245$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$25,714$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$33,061$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$45,918$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 Delhaye (sur la masse salariale)Schooners (STI)C381990-05-14FRANo181 Lbs5 ft8NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm700,000$0$0$Yes---------------------------
Lynden ChallenSchooners (STI)D242004-03-12USAYes173 Lbs5 ft8NoNoAssign Manually2025-05-14NoNo32026-05-02FalseFalsePro & Farm700,000$70,000$25,714$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Phil Symes (sur la masse salariale)Schooners (STI)C212007-11-11CANYes207 Lbs6 ft3NoNoDraftNoNo22025-10-09FalseFalsePro & Farm800,000$0$0$Yes800,000$--------800,000$--------No--------
Remy RerieSchooners (STI)LW242004-04-15CANNo183 Lbs5 ft8NoNoTrade2024-10-18NoNo12024-07-13FalseFalsePro & Farm700,000$70,000$25,714$No---------------------------
Sean CourtemancheSchooners (STI)C212007-12-21CANYes217 Lbs6 ft5NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$29,388$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$55,102$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$31,224$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$29,388$No800,000$--------800,000$--------No--------
Zach BamfordSchooners (STI)C351993-12-01CANNo166 Lbs5 ft8NoNoAssign Manually2024-03-31NoNo12025-02-01FalseFalsePro & Farm1,000,000$100,000$36,735$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.32193 Lbs6 ft12.60944,080$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lars RasmussenSean CourtemancheKevin Quenneville32131
2Benni GaussJaimie Pether31014
3Joey DibrinaHarding FremlinRemy Rerie30032
4Harris ToppZach Bamford7041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kende PesovnikLazlo Sergent34023
2Tomas OstmanAlex Bjorkegren33032
3Veli-Harri RakkolainenDaniil Zachest33032
4Lazlo SergentTomas Ostman0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Harding FremlinLars Rasmussen50005
2Benni GaussSean CourtemancheKevin Quenneville50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jaimie PetherTomas Ostman50005
2Alex BjorkegrenDaniil Zachest50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Harding FremlinJoey Dibrina50050
2Zach BamfordBenni Gauss50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tomas OstmanDaniil Zachest50050
2Lazlo SergentAlex Bjorkegren50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Harding Fremlin50050Veli-Harri RakkolainenDaniil Zachest50050
2Zach Bamford50050Lazlo SergentAlex Bjorkegren50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sean CourtemancheJoey Dibrina50122
2Kevin Quenneville50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tomas OstmanVeli-Harri Rakkolainen50122
2Lazlo SergentDaniil Zachest50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lars RasmussenKevin QuennevilleTomas OstmanDaniil Zachest
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joey DibrinaSean CourtemancheTomas OstmanAlex Bjorkegren
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Quenneville, Sean Courtemanche, Joey Dibrina, Sean CourtemancheJoey Dibrina
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Veli-Harri Rakkolainen, Daniil Zachest, Kende PesovnikVeli-Harri RakkolainenDaniil Zachest, Kende Pesovnik
Tirs de pénalité
Jaimie Pether, Harris Topp, Harding Fremlin, Benni Gauss,
Gardien
#1 : Wiktor Ersson, #2 : Brodie Helyar
Lignes d’attaque personnalisées en prolongation
, Benni Gauss, Lars Rasmussen, Sean Courtemanche, Jaimie Pether, Kevin Quenneville, Joey Dibrina, Remy Rerie, Harding Fremlin,
Lignes de défense personnalisées en prolongation
Daniil Zachest, Lazlo Sergent, Tomas Ostman, 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
1Auroras11000000413000000000001100000041321.000461000556255426607558564342991327200.00%4175.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
2Bulldogs1000010045-11000010045-10000000000010.5004711005562554406075585643428928142150.00%4250.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
3Comets514000001420-62110000089-130300000611-520.20014223600556255415960755856434179611061314250.00%13653.85%0642123152.15%640123551.82%46782956.33%11386611178480951469
4Crusaders63100200221754310000016972000020068-280.66722375900556255421760755856434194727312210330.00%100100.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
5Devils21100000871110000006331010000024-220.500813210055625545460755856434672123484125.00%4175.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
6Drillers21001000844110000005231000100032141.000813210055625545760755856434632123388225.00%4175.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
7Guppies21000010734110000004131000001032141.000710170055625546960755856434782030436116.67%5180.00%1642123152.15%640123551.82%46782956.33%11386611178480951469
8Hornets21100000440110000002111010000023-120.5004590055625547260755856434622315365120.00%5180.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
9Hydra211000005501010000012-11100000043120.50057120055625544160755856434601938376350.00%4175.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
10Jazz42200000131032110000056-12110000084440.500131932005562554109607558564341343312479200.00%120100.00%3642123152.15%640123551.82%46782956.33%11386611178480951469
11Kings10001000651000000000001000100065121.000691500556255440607558564342876333266.67%3166.67%0642123152.15%640123551.82%46782956.33%11386611178480951469
12Outlaws21100000512-7110000004311010000019-820.500510150055625547160755856434692210045700.00%5260.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
13Phantoms11000000642000000000001100000064221.000611170055625542760755856434371228232150.00%4175.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
14Rampage1000000134-1000000000001000000134-110.500369005562554256075585643433817253266.67%10100.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
15Rock413000001316-320200000511-62110000085320.25013173000556255415360755856434116391068812216.67%13284.62%0642123152.15%640123551.82%46782956.33%11386611178480951469
16Spartans613011001924-5311001001111030201000813-550.417192948105562554228607558564341865811813514428.57%9366.67%0642123152.15%640123551.82%46782956.33%11386611178480951469
17Stingers22000000725220000007250000000000041.000710170055625544960755856434632330355120.00%50100.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
18Swamp Puppies210001009811000010045-11100000053230.750915240055625545560755856434682453473133.33%9366.67%0642123152.15%640123551.82%46782956.33%11386611178480951469
19Vipers2110000034-11010000013-21100000021120.500347005562554656075585643469163352100.00%40100.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
20Wild Wings30200001610-42010000158-31010000012-110.1676121800556255410160755856434853540751000.00%50100.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
21Wolverines1010000035-21010000035-20000000000000.000369005562554266075585643428711303133.33%30100.00%0642123152.15%640123551.82%46782956.33%11386611178480951469
22Yeti211000007701010000034-11100000043120.500710170055625546760755856434792141474250.00%3233.33%0642123152.15%640123551.82%46782956.33%11386611178480951469
Total54212203512176177-1281311003019490426811032118287-5570.5281762784541055625541751607558564341755560105612101163025.86%1292878.29%4642123152.15%640123551.82%46782956.33%11386611178480951469
_Since Last GM Reset54212203512176177-1281311003019490426811032118287-5570.5281762784541055625541751607558564341755560105612101163025.86%1292878.29%4642123152.15%640123551.82%46782956.33%11386611178480951469
_Vs Conference36121601502115121-62088003016668-21648012014953-4330.4581151812961055625541177607558564341146381733788711926.76%851780.00%3642123152.15%640123551.82%46782956.33%11386611178480951469
_Vs Division115801300353417530010024213405012001113-2150.6823559940055625543856075585643435812815424424520.83%18288.89%0642123152.15%640123551.82%46782956.33%11386611178480951469

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5457L2176278454175117555601056121010
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5421223512176177
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
28131103019490
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2681132118287
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1163025.86%1292878.29%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
607558564345562554
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
642123152.15%640123551.82%46782956.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11386611178480951469


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 - 2026-09-09652Devils3Schooners6WSommaire du match
90 - 2026-09-11670Stingers1Schooners2WSommaire du match
92 - 2026-09-13677Schooners2Devils4LSommaire du match
93 - 2026-09-14690Schooners2Hornets3LSommaire du match
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
Assistance46,08627,465
Assistance PCT54.86%49.04%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
12 2627 - 52.54% 138,864$3,888,202$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,071,523$ 2,110,200$ 2,110,200$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,110,200$ 1,565,383$ 22 3

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,666,372$ 54 19,797$ 1,069,038$




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 Pether31113411224648444527292125110.71%73532317.12232548900118141153.20%50.9203
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 Ersson96543190.9042.9657186028229371212530.82935
3Brodie Helyar77392850.9033.1443352122723361412601.0008
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
654212203512176177-1281311003019490426811032118287-5571762784541055625541751607558564341755560105612101163025.86%1292878.29%4642123152.15%640123551.82%46782956.33%11386611178480951469
Total Saison régulière454211143023342518148012931872281096701416157767617150226102760918101171367637570148024453925128410520502691595152895423504534013785466648701077294125727.31%71517176.08%1154391047451.93%4818927151.97%3473671251.74%991558989571403480523987
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