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3L
GP: 8 | W: 7 | L: 0 | OTL: 1 | P: 15
GF: 23 | GA: 16 | PP%: 30.00% | PK%: 64.71%
DG: William Soucy | Morale : 50 | Moyenne d’équipe : 52
Prochains matchs #113 vs Rocket

Centre de jeu
3L
7-0-1, 15pts
3
2 National
3-3-2, 8pts
Team Stats
W3SéquenceW1
4-0-0Fiche domicile1-2-1
3-0-1Fiche domicile2-1-1
7-0-1Derniers 10 matchs3-3-2
2.88Buts par match 2.38
2.00Buts contre par match 2.38
30.00%Pourcentage en avantage numérique44.00%
64.71%Pourcentage en désavantage numérique70.83%
Wolf Pack
4-4-0, 8pts
2
4 3L
7-0-1, 15pts
Team Stats
L1SéquenceW3
3-0-0Fiche domicile4-0-0
1-4-0Fiche domicile3-0-1
4-4-0Derniers 10 matchs7-0-1
2.63Buts par match 2.88
2.63Buts contre par match 2.00
31.82%Pourcentage en avantage numérique30.00%
62.50%Pourcentage en désavantage numérique64.71%
3L
7-0-1, 15pts
2026-09-19
Rocket
2-4-0, 4pts
Statistiques d’équipe
W3SéquenceL1
4-0-0Fiche domicile2-2-0
3-0-1Fiche visiteur0-2-0
7-0-110 derniers matchs2-4-0
2.88Buts par match 2.50
2.00Buts contre par match 2.50
30.00%Pourcentage en avantage numérique25.00%
64.71%Pourcentage en désavantage numérique54.17%
National
3-3-2, 8pts
2026-09-21
3L
7-0-1, 15pts
Statistiques d’équipe
W1SéquenceW3
1-2-1Fiche domicile4-0-0
2-1-1Fiche visiteur3-0-1
3-3-210 derniers matchs7-0-1
2.38Buts par match 2.88
2.38Buts contre par match 2.88
44.00%Pourcentage en avantage numérique30.00%
70.83%Pourcentage en désavantage numérique64.71%
3L
7-0-1, 15pts
2026-09-22
Red Bull
2-5-1, 5pts
Statistiques d’équipe
W3SéquenceL1
4-0-0Fiche domicile1-1-1
3-0-1Fiche visiteur1-4-0
7-0-110 derniers matchs2-5-1
2.88Buts par match 2.00
2.00Buts contre par match 2.00
30.00%Pourcentage en avantage numérique22.22%
64.71%Pourcentage en désavantage numérique60.00%
Meneurs d'équipe
Olle LycksellButs
Olle Lycksell
5
Devin ShorePasses
Devin Shore
7
Nick LardisPoints
Nick Lardis
10
David TomasekPlus/Moins
David Tomasek
5
Jaxson StauberVictoires
Jaxson Stauber
7
Jaxson StauberPourcentage d’arrêts
Jaxson Stauber
0.928

Statistiques d’équipe
Buts pour
23
2.88 GFG
Tirs pour
224
28.00 Avg
Pourcentage en avantage numérique
30.0%
9 GF
Début de zone offensive
35.6%
Buts contre
16
2.00 GAA
Tirs contre
209
26.13 Avg
Pourcentage en désavantage numérique
64.7%%
6 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralWilliam Soucy
EntraîneurDallas Eakins
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2Cameron Hillis


Informations de l’aréna

Capacité3,000
Assistance2,943
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite Contrat49 / 60
Espoirs62


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
1Nick Lardis (R)X100.00704493884665505047464859584560050590213775,000$
2Olle LycksellX99.00624495824959254349464562466367050560273800,000$
3Devin ShoreX100.00644077795160494249444559467874050560323800,000$
4Anton BlidhX100.00604395844655254149454562467573050550313800,000$
5Ty Mueller (R)X100.00614495845156254148454568465162050550231725,000$
6David TomasekX100.00604295814558264348454555467270050550301800,000$
7Cameron HughesX100.00584195833855254148444555467270050540303800,000$
8Marc JohnstoneX100.00493677834152254044424456457268050520304625,000$
9Brad RichardsonX100.00453077833050254040404150459979050510413800,000$
10Brad MaloneX100.00453077853050254040404150459376050510373800,000$
11Connor BrickleyX100.00453077843050254040404150458471050510343800,000$
12Brandon PirriX100.00453077833050254040404150458773050510353800,000$
13Adam BrooksX100.00453077853050254040404150457265050500303800,000$
14Brendan LeipsicX100.00453077813050254040404150457868050500323800,000$
15Andrej SustrX99.00453095835050254551463252509376050550363800,000$
16Carter Yakemchuk (R)X99.00604195816052254547453852394857050550213950,000$
17Anton LindholmX100.00453095835050254550463252508170050540323800,000$
18Filip Roos (R)X100.00553686855446253843413464346665050530271786,420$
Rayé
1Dominik SimonX100.00453077813050254040404150457868050500323800,000$
2Brett RitchieX100.00453077803050254040404150458170050500333800,000$
3Dalton SmithX100.00453077823050254040404150458471050500343800,000$
4Denis MalginX100.00453077823050254040404150456964050500293800,000$
5Tyrell Goulbourne (R)X100.00452386824845233636364145417867050480321800,000$
6Carsen Twarynski (R)X100.00452386824845233636364145416962050470293800,000$
7Cale FleuryX72.226745958258572745494937695069710506002831,500,000$
8Andreas BorgmanX79.47453095815050254549463252507868050540313800,000$
9Ben Thomas (R)X100.00412386845045253635322933277560050440301700,000$
10Ben Gleason (R)X100.00412386845045253635322933276957050440281700,000$
MOYENNE D’ÉQUIPE98.1451348683425227414342405344746805052
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
1Jaxson Stauber (R)100.0056306164697066636645535354050550271812,120$
2Anders Nilsson100.0060256565507070555530558993050500363800,000$
Rayé
MOYENNE D’ÉQUIPE100.005828636560706859613854717405053
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins70707070777566USA5911,000,000$


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
1Devin Shore3L (WAS)C83710-2402114249712.50%216821.07257423011150151.26%19978001.1923000120
2Nick Lardis3L (WAS)LW7461005515103562311.43%216223.23224518000090145.16%31137001.2312100210
3Olle Lycksell3L (WAS)RW8516-2101021162711118.52%317722.143143220000123069.23%13104000.6803002011
4Ty Mueller3L (WAS)C8156400241519565.26%313917.42123217000000146.99%8363000.8611000012
5David Tomasek3L (WAS)RW842650021172331117.39%014918.63112217101150040.00%595000.8101000111
6Connor Brickley3L (WAS)LW821328096142114.29%311314.1600003000021033.33%355000.5300000010
7Carter Yakemchuk3L (WAS)D8033300121242100%1121827.34011124000012000%034000.2700000000
8Anton Blidh3L (WAS)LW820214014101761311.76%214017.53000018000021158.33%1254000.2901000011
9Andrej Sustr3L (WAS)D8011-12021210620%1317822.2800001700009000%032000.1100000000
10Filip Roos3L (WAS)D80112401281030%512315.400000600002000%013000.1600000000
11Cameron Hughes3L (WAS)C80110001212152140%211013.8500000000040056.86%5183000.1800000000
12Anton Lindholm3L (WAS)D80111202107210%412916.220000600000000%027000.1500000000
13Brad Richardson3L (WAS)RW8000000444440%0729.12000020000000100.00%14200000000000
14Brad Malone3L (WAS)C8000-100350240%0475.9600002000010014.29%70100000000000
15Adam Brooks3L (WAS)C2000000000000%042.460000000000000%00000000000000
16Dominik Simon3L (WAS)C6000000000000%0111.980000100000000%10000000000000
17Andreas Borgman3L (WAS)D6000-2002102120%411819.6700001000008000%03200000000000
18Brendan Leipsic3L (WAS)LW2000000321010%0199.650000000000000%00000000000000
19Brandon Pirri3L (WAS)C8000020563140%1607.5700000000000040.91%220100000000000
20Marc Johnstone3L (WAS)RW8000-140111112210%210112.72000000000000100.00%28100000000000
21Cale Fleury3L (WAS)D800034014166740%1119524.45000018000011000%04700000000000
Statistiques d’équipe totales ou en moyenne151212950124915207196224611229.38%68244316.1891221172131122895450.23%4309169000.41411102485
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
1Jaxson Stauber3L (WAS)87010.9281.814970015209104100.7001080101
Statistiques d’équipe totales ou en moyenne87010.9281.814970015209104101080101


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 Salaire restantPlafond 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
Adam Brooks3L (WAS)C301996-01-01CANNo179 Lbs6 ft0NoNoFree Agent2025-08-05NoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Anders Nilsson3L (WAS)G361990-01-01SWENo232 Lbs6 ft6NoNoFree AgentNoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Andreas Borgman (sur la masse salariale)3L (WAS)D311995-01-01SWENo205 Lbs6 ft0NoNoFree AgentNoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$Yes800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Andrej Sustr3L (WAS)D361990-01-01CZENo217 Lbs6 ft7NoNoFree AgentNoNo32026-02-14FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Anton Blidh3L (WAS)LW311995-01-01SWENo191 Lbs6 ft1NoNoFree AgentNoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Anton Lindholm3L (WAS)D321994-01-01SWENo191 Lbs5 ft11NoNoFree Agent2025-08-05NoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Ben Gleason3L (WAS)D281998-01-01USAYes185 Lbs6 ft1NoNoFree AgentNoNo12026-02-16FalseFalsePro & Farm700,000$640,769$0$0$No---------------------------Lien NHL
Ben Thomas3L (WAS)D301996-01-01CANYes187 Lbs6 ft1NoNoFree AgentNoNo12026-02-16FalseFalsePro & Farm700,000$640,769$0$0$No---------------------------Lien NHL
Brad Malone3L (WAS)C371989-01-01CANNo217 Lbs6 ft2NoNoFree AgentNoNo32026-02-14FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Brad Richardson3L (WAS)RW411985-01-01CANNo190 Lbs6 ft0NoNoFree AgentNoNo32026-02-14FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Brandon Pirri3L (WAS)C351991-01-01CANNo180 Lbs6 ft1NoNoFree AgentNoNo32026-02-14FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Brendan Leipsic3L (WAS)LW321994-01-01CANNo180 Lbs5 ft11NoNoFree AgentNoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Brett Ritchie3L (WAS)RW331993-01-01CANNo215 Lbs6 ft4NoNoFree AgentNoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Cale Fleury (sur la masse salariale)3L (WAS)D281998-01-01CANNo204 Lbs6 ft1NoNoFree AgentNoNo32026-02-09FalseFalsePro & Farm1,500,000$1,373,077$0$0$Yes1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien NHL
Cameron Hughes3L (WAS)C301996-01-01CANNo190 Lbs6 ft0NoNoFree AgentNoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Carsen Twarynski3L (WAS)LW291997-01-01CANYes198 Lbs6 ft2NoNoFree Agent2024-08-24NoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Carter Yakemchuk3L (WAS)D212005-01-01CANYes219 Lbs6 ft3NoNoDraftNoNo32026-08-02FalseFalsePro & Farm950,000$869,615$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien NHL
Connor Brickley3L (WAS)LW341992-01-01USANo203 Lbs6 ft0NoNoFree AgentNoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Dalton Smith3L (WAS)LW341992-01-01CANNo206 Lbs6 ft2NoNoFree AgentNoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
David Tomasek3L (WAS)RW301996-01-01CZENo210 Lbs6 ft2NoNoProspectNoNo12026-01-28FalseFalsePro & Farm800,000$732,308$0$0$No---------------------------Lien NHL
Denis Malgin3L (WAS)C291997-01-01CHENo182 Lbs5 ft9NoNoFree AgentNoNo32026-02-12FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Devin Shore3L (WAS)C321994-01-01CANNo206 Lbs6 ft1NoNoFree AgentNoNo32026-02-12FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Dominik Simon3L (WAS)C321994-01-01CZENo190 Lbs5 ft11NoNoFree AgentNoNo32026-02-13FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Filip Roos3L (WAS)D271999-01-01SWEYes190 Lbs6 ft4NoNoFree AgentNoNo12025-02-09FalseFalsePro & Farm786,420$719,877$0$0$No---------------------------Lien NHL
Jaxson Stauber3L (WAS)G271999-01-01USAYes174 Lbs6 ft3NoNoFree AgentNoNo12025-02-09FalseFalsePro & Farm812,120$743,402$0$0$No---------------------------Lien NHL
Marc Johnstone3L (WAS)RW301996-01-01USANo181 Lbs6 ft0NoNoFree AgentNoNo42026-08-20FalseFalsePro & Farm625,000$572,115$0$0$No625,000$625,000$625,000$------625,000$625,000$625,000$------NoNoNo------Lien NHL
Nick Lardis3L (WAS)LW212005-01-01CANYes165 Lbs5 ft11NoNoProspectNoNo32026-01-28FalseFalsePro & Farm775,000$709,423$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Olle Lycksell3L (WAS)RW271999-01-01SWENo197 Lbs5 ft11NoNoFree AgentNoNo32026-02-12FalseFalsePro & Farm800,000$732,308$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Ty Mueller3L (WAS)C232003-01-01CANYes185 Lbs5 ft11NoNoProspectNoNo12025-07-28FalseFalsePro & Farm725,000$663,654$0$0$No---------------------------Lien NHL
Tyrell Goulbourne3L (WAS)LW321994-01-01CANYes195 Lbs5 ft11NoNoTrade2025-10-28NoNo12025-03-05FalseFalsePro & Farm800,000$732,308$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3030.60195 Lbs6 ft12.57812,451$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick LardisDevin ShoreOlle Lycksell40122
2Anton BlidhTy MuellerDavid Tomasek30122
3Connor BrickleyCameron HughesMarc Johnstone20122
4Brendan LeipsicBrandon PirriBrad Richardson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carter Yakemchuk40122
2Andrej SustrAnton Lindholm30122
3Filip Roos20122
4Carter YakemchukAndrej Sustr10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick LardisDevin ShoreOlle Lycksell60122
2Anton BlidhTy MuellerDavid Tomasek40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carter Yakemchuk60122
2Andrej SustrAnton Lindholm40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nick LardisOlle Lycksell60122
2Devin ShoreDavid Tomasek40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carter Yakemchuk60122
2Andrej SustrAnton Lindholm40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nick Lardis60122Carter Yakemchuk60122
2Olle Lycksell40122Andrej SustrAnton Lindholm40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nick LardisOlle Lycksell60122
2Devin ShoreDavid Tomasek40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carter Yakemchuk60122
2Andrej SustrAnton Lindholm40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick LardisDevin ShoreOlle LycksellCarter Yakemchuk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick LardisDevin ShoreOlle LycksellCarter Yakemchuk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brad Malone, Adam Brooks, Cameron HughesBrad Malone, Adam BrooksCameron Hughes
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Roos, Anton Lindholm, Filip RoosAnton Lindholm,
Tirs de pénalité
Nick Lardis, Olle Lycksell, Devin Shore, David Tomasek, Anton Blidh
Gardien
#1 : Jaxson Stauber, #2 : Anders Nilsson


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
1National31002000743100010002112100100053261.00078150018106905495652175228888225.00%4175.00%07815350.98%8217447.13%5610354.37%164801638316983
2Phantoms 20000011770100000104311000000134-130.7507815001810664549565216621273810330.00%6350.00%17815350.98%8217447.13%5610354.37%164801638316983
3Rapido10000010211100000102110000000000021.000213001810619549565211688274125.00%4175.00%07815350.98%8217447.13%5610354.37%164801638316983
4Steelheads11000000321000000000001100000032121.000358001810626549565212464252150.00%20100.00%07815350.98%8217447.13%5610354.37%164801638316983
5Wolf Pack11000000422110000004220000000000021.00047110018106255495652128112296233.33%110.00%07815350.98%8217447.13%5610354.37%164801638316983
Total8300202123167410010201275420010011192150.938232952001810622454956521209684920730930.00%17664.71%17815350.98%8217447.13%5610354.37%164801638316983
_Since Last GM Reset8300202123167410010201275420010011192150.938232952001810622454956521209684920730930.00%17664.71%17815350.98%8217447.13%5610354.37%164801638316983
_Vs Conference620020111813531001010106431001001871110.917182341001810617954956521169543715524729.17%11554.55%17815350.98%8217447.13%5610354.37%164801638316983

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
815W3232952224209684920700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
83020212316
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4101020127
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4201001119
Derniers 10 matchs
WLOTWOTL SOWSOL
700001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
30930.00%17664.71%1
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
5495652118106
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
7815350.98%8217447.13%5610354.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
164801638316983


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 - 2026-09-088National13L2WXSommaire du match
2 - 2026-09-09193L3Steelheads2WSommaire du match
4 - 2026-09-11263L2National1WXSommaire du match
6 - 2026-09-1344Rapido13L2WXXSommaire du match
7 - 2026-09-14613L3Phantoms 4LXXSommaire du match
8 - 2026-09-1573Phantoms 33L4WXXSommaire du match
10 - 2026-09-17923L3National2WSommaire du match
11 - 2026-09-18100Wolf Pack23L4WSommaire du match
12 - 2026-09-191133L-Rocket-
14 - 2026-09-21127National-3L-
15 - 2026-09-221353L-Red Bull-
16 - 2026-09-231513L-Red Bull-
18 - 2026-09-25166Spartans-3L-
20 - 2026-09-27184Griffins-3L-
21 - 2026-09-281943L-Barons-
23 - 2026-09-30211Chops-3L-
25 - 2026-10-022243L-Sea Dogs-
26 - 2026-10-032363L-Rapido-
27 - 2026-10-04245Chops-3L-
29 - 2026-10-062633L-IceHogs-
30 - 2026-10-07277Barons-3L-
32 - 2026-10-092943L-Thunderbirds-
33 - 2026-10-10303Rapido-3L-
35 - 2026-10-123213L-Griffins-
36 - 2026-10-133323L-Rambo-
37 - 2026-10-14336Bison-3L-
39 - 2026-10-16361Red Bull-3L-
40 - 2026-10-173713L-Rapido-
42 - 2026-10-19389Spartans-3L-
44 - 2026-10-214033L-Comets -
45 - 2026-10-22417Heat -3L-
47 - 2026-10-244333L-Bison-
48 - 2026-10-254433L-Firebirds-
49 - 2026-10-26448Sea Dogs-3L-
51 - 2026-10-28470Wolf Pack-3L-
52 - 2026-10-294863L-Heat -
54 - 2026-10-31497Rocket-3L-
56 - 2026-11-025123L-Spartans-
57 - 2026-11-03527Comets -3L-
59 - 2026-11-055433L-Red Bull-
60 - 2026-11-065523L-National-
61 - 2026-11-07562Trashers-3L-
63 - 2026-11-09584Rapido-3L-
64 - 2026-11-105993L-Trashers-
65 - 2026-11-116073L-Chops-
66 - 2026-11-12618Armada-3L-
68 - 2026-11-14638Wolf Pack-3L-
70 - 2026-11-166573L-Armada-
71 - 2026-11-17667Rambo-3L-
72 - 2026-11-186803L-Lions-
74 - 2026-11-20696Red Bull-3L-
76 - 2026-11-227133L-Phantoms -
77 - 2026-11-23722Lions-3L-
78 - 2026-11-247353L-Jarrets Noirs-
80 - 2026-11-26750Griffins-3L-
82 - 2026-11-287623L-Rocket-
83 - 2026-11-29780Firebirds-3L-
85 - 2026-12-017983L-Steelheads-
86 - 2026-12-02808Silver Knights-3L-
88 - 2026-12-048213L-Hobos-
89 - 2026-12-05835Comets -3L-
91 - 2026-12-078533L-Wild-
92 - 2026-12-08862Thunderbirds-3L-
93 - 2026-12-098743L-Monster-
95 - 2026-12-118903L-Wolf Pack-
96 - 2026-12-12896Steelheads-3L-
97 - 2026-12-139083L-Steelheads-
99 - 2026-12-15924Wild-3L-
101 - 2026-12-179403L-Hobos-
102 - 2026-12-18953Jarrets Noirs-3L-
104 - 2026-12-209663L-Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
105 - 2026-12-21979Phantoms -3L-
107 - 2026-12-239953L-Sea Dogs-
108 - 2026-12-241008Monster-3L-
111 - 2026-12-271027National-3L-
112 - 2026-12-2810413L-Monster-
114 - 2026-12-3010533L-Barons-
115 - 2026-12-311062IceHogs-3L-
117 - 2027-01-021086Steelheads-3L-
120 - 2027-01-051109IceHogs-3L-
121 - 2027-01-0611183L-Silver Knights-
124 - 2027-01-091134Phantoms -3L-
127 - 2027-01-121159Hobos-3L-
128 - 2027-01-1311713L-Silver Knights-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance7,7983,973
Assistance PCT97.48%99.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
-3 2943 - 98.09% 84,391$337,564$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
202,622$ 2,207,354$ 2,207,354$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,980$ 202,622$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,206,858$ 119 16,980$ 2,020,620$




3L 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

3L 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

3L 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

3L 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

3L 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