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Connexion

Barons
GP: 36 | W: 18 | L: 15 | OTL: 3 | P: 39
GF: 126 | GA: 128 | PP%: 20.55% | PK%: 91.18%
DG: Jeff Karas | Morale : 51 | Moyenne d’équipe : 58
Prochains matchs #402 vs Tomahawks

Centre de jeu
Barons
18-15-3, 39pts
4
FINAL
3 Fighting Pandas
17-12-6, 40pts
Team Stats
W1SéquenceOTL1
10-6-2Fiche domicile7-6-5
8-9-1Fiche domicile10-6-1
7-3-0Derniers 10 matchs3-4-3
3.50Buts par match 4.20
3.56Buts contre par match 3.71
20.55%Pourcentage en avantage numérique25.71%
91.18%Pourcentage en désavantage numérique81.19%
Barracuda
18-16-2, 38pts
1
FINAL
2 Barons
18-15-3, 39pts
Team Stats
L2SéquenceW1
9-9-0Fiche domicile10-6-2
9-7-2Fiche domicile8-9-1
4-6-0Derniers 10 matchs7-3-0
3.39Buts par match 3.50
3.44Buts contre par match 3.56
17.95%Pourcentage en avantage numérique20.55%
78.41%Pourcentage en désavantage numérique91.18%
Barons
18-15-3, 39pts
Jour 80
Tomahawks
21-12-2, 44pts
Statistiques d’équipe
W1SéquenceW1
10-6-2Fiche domicile11-7-0
8-9-1Fiche visiteur10-5-2
7-3-010 derniers matchs4-6-0
3.50Buts par match 5.23
3.56Buts contre par match 5.23
20.55%Pourcentage en avantage numérique20.22%
91.18%Pourcentage en désavantage numérique74.49%
Griffins
20-16-0, 40pts
Jour 82
Barons
18-15-3, 39pts
Statistiques d’équipe
W3SéquenceW1
10-8-0Fiche domicile10-6-2
10-8-0Fiche visiteur8-9-1
7-3-010 derniers matchs7-3-0
5.75Buts par match 3.50
5.06Buts contre par match 3.50
20.00%Pourcentage en avantage numérique20.55%
72.62%Pourcentage en désavantage numérique91.18%
Barons
18-15-3, 39pts
Jour 84
Broncos
13-16-5, 31pts
Statistiques d’équipe
W1SéquenceW1
10-6-2Fiche domicile8-10-0
8-9-1Fiche visiteur5-6-5
7-3-010 derniers matchs3-5-2
3.50Buts par match 3.53
3.56Buts contre par match 3.53
20.55%Pourcentage en avantage numérique20.55%
91.18%Pourcentage en désavantage numérique61.76%
Meneurs d'équipe
Matias MaccelliButs
Matias Maccelli
22
Jayden StrublePasses
Jayden Struble
35
Matias MaccelliPoints
Matias Maccelli
51
Ozzy WiesblattPlus/Moins
Ozzy Wiesblatt
3
Dan VladarVictoires
Dan Vladar
18
Thatcher DemkoPourcentage d’arrêts
Thatcher Demko
0.95

Statistiques d’équipe
Buts pour
126
3.50 GFG
Tirs pour
1046
29.06 Avg
Pourcentage en avantage numérique
20.5%
15 GF
Début de zone offensive
35.7%
Buts contre
128
3.56 GAA
Tirs contre
1318
36.61 Avg
Pourcentage en désavantage numérique
91.2%%
3 GA
Début de la zone défensive
43.8%
Informations de l'équipe

Directeur généralJeff Karas
EntraîneurNeal Broten
DivisionCentral
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure19
Limite contact 37 / 50
Espoirs27


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
1Parker KellyXX100.00786084666672906762656079506469064650262500,000$
2Fedor Svechkov (R)X100.006456876967727066546466615156580696202210$
3Matias MaccelliX98.004955926765737266506766585060620666102521,000,000$
4Liam Ohgren (R)X100.00675495656766566550615558505456066580212500,000$
5Grigori DenisenkoX100.00604926577050505050505049506161063510252500,000$
6Ozzy WiesblattX100.00513590586550515050505149505760064510233500,000$
7Jan JenikX100.00493590577150505050505048506161049510252500,000$
8Kailer YamamotoX100.00495591576253535050504949517169062510273500,000$
9Dalibor DvorskyX100.00493590587350504950504948505356059500203500,000$
10Oskar OlaussonX100.00503589576450505050505050505557059500231500,000$
11Jayden StrubleX100.00816673647567737050675169626164063640243500,000$
12Mathew DumbaX100.007065696366687866505951685572710506303131,000,000$
13Erik GudbransonX100.007060825780545664506252685578780516203311,250,000$
14Caleb JonesX100.00494184576950525050504949556869056520282500,000$
15Hunter BrzustewiczX100.00515026586850545050505050555458060510213500,000$
Rayé
1Jordan EberleX100.005656837263796576507369636578770196603511,250,000$
MOYENNE D’ÉQUIPE99.8859507861686061595157545753636405857
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
1Dan Vladar100.0075757579697672697068796770025700282500,000$
2Thatcher Demko100.00717171746876706969648068690756903011,500,000$
Rayé
MOYENNE D’ÉQUIPE100.007373737769767169706680687005070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Neal Broten8586997070751USA655500,000$


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
1Matias MaccelliBarons (MIN)LW36222951-1207621604012113.75%1188524.6043714631013351245.59%6800001.1501000562
2Parker KellyBarons (MIN)C/LW36212849-71601081451774312811.86%4190725.2127919610111253053.77%115500011.0805000544
3Fedor SvechkovBarons (MIN)C36211738-320401061664611812.65%1079822.1713413540000243048.13%91000020.9534000514
4Jayden StrubleBarons (MIN)D3633538-1716081614313386.98%7391025.301451152000022000%200000.8300000132
5Liam OhgrenBarons (MIN)LW36131932-3005255125298610.40%1783423.1823513570001283044.33%9700100.7711000332
6Erik GudbransonBarons (MIN)D3641923-2240274230122513.33%6084123.38224645011026110%400000.5500000011
7Ozzy WiesblattBarons (MIN)RW368111930033461203613.11%1064717.98011421000060045.83%4800000.5900000011
8Grigori DenisenkoBarons (MIN)LW36471124078324524438.89%262617.390001190000110065.22%4600000.3500000041
9Kailer YamamotoBarons (MIN)RW363710-1005122481512.50%649313.72000010000030048.57%3500000.4000000000
10Hunter BrzustewiczBarons (MIN)D361910-31608013156116.67%4681722.70022448000020010%000000.2400000010
11Jan JenikBarons (MIN)C36549-70065741123312.20%672120.03000014000080047.01%58500000.2500000002
12Dalibor DvorskyBarons (MIN)RW36358-13201015315189.68%573120.311013480000111046.38%6900000.2223000000
13Jordan EberleBarons (MIN)RW12718-4206185792712.28%1025621.392021025000071246.67%1500000.6202000102
14Caleb JonesBarons (MIN)D36066-1000913132110%4183223.140001470000270075.00%400000.1400000000
Statistiques d’équipe totales ou en moyenne480115197312-8664051266598826971011.64%3381030421.4715254099572123525913650.00%303800130.61616000202421
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
1Dan VladarBarons (MIN)36181530.8983.6719634012011780300.82417360511
2Thatcher DemkoBarons (MIN)70000.9501.8722500714000000036000
Statistiques d’équipe totales ou en moyenne43181530.9043.482188401271318030173636511


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Caleb JonesBarons (MIN)D281997-06-06USANo194 Lbs6 ft1NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Dalibor DvorskyBarons (MIN)RW202005-06-15SVKNo201 Lbs6 ft1NoNoFree AgentNoNo32025-07-27FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Dan VladarBarons (MIN)G281997-08-20CZENo209 Lbs6 ft5NoNoTrade2025-03-02NoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Erik GudbransonBarons (MIN)D331992-01-07CANNo222 Lbs6 ft5NoNoAssign ManuallyNoNo12024-08-23FalseFalsePro & Farm1,250,000$125,000$71,528$No---------------------------Lien / Lien NHL
Fedor SvechkovBarons (MIN)C222003-04-05RUSYes187 Lbs6 ft0NoNoProspectNoNo12025-08-05FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Grigori DenisenkoBarons (MIN)LW252000-06-24RUSNo198 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Hunter BrzustewiczBarons (MIN)D212004-11-29USANo190 Lbs6 ft0NoNoFree AgentNoNo32025-07-27FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Jan JenikBarons (MIN)C252000-09-15CZENo199 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jayden StrubleBarons (MIN)D242001-09-08USANo207 Lbs6 ft0NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Jordan EberleBarons (MIN)RW351990-05-15CANNo180 Lbs5 ft11NoNoAssign ManuallyNoNo12024-08-23FalseFalsePro & Farm1,250,000$125,000$71,528$No---------------------------Lien / Lien NHL
Kailer YamamotoBarons (MIN)RW271998-09-29USANo178 Lbs5 ft9NoNoN/ANoNo32024-08-19FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Liam OhgrenBarons (MIN)LW212004-01-28SWEYes187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mathew DumbaBarons (MIN)D311994-07-25CANNo185 Lbs6 ft1NoNoN/ANoNo32024-08-19FalseFalsePro & Farm1,000,000$100,000$57,222$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Matias MaccelliBarons (MIN)LW252000-10-14FINNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$100,000$57,222$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Oskar OlaussonBarons (MIN)RW232002-11-10SWENo180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Lien / Lien NHL
Ozzy WiesblattBarons (MIN)RW232002-03-09CANNo183 Lbs5 ft10NoNoFree AgentNoNo32025-07-27FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Parker KellyBarons (MIN)C/LW261999-05-14CANNo185 Lbs6 ft1NoNoTrade2025-03-08NoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Lien / Lien NHL
Thatcher DemkoBarons (MIN)G301995-12-08USANo192 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$150,000$85,833$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1825.94192 Lbs6 ft12.06666,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matias MaccelliParker Kelly40122
2Liam OhgrenFedor SvechkovDalibor Dvorsky30122
3Grigori DenisenkoJan JenikOzzy Wiesblatt20122
4Matias MaccelliParker KellyKailer Yamamoto10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jayden StrubleErik Gudbranson40122
2Caleb JonesHunter Brzustewicz30122
3Jayden StrubleErik Gudbranson20122
4Caleb JonesHunter Brzustewicz10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matias MaccelliParker Kelly60122
2Liam OhgrenFedor SvechkovDalibor Dvorsky40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jayden StrubleErik Gudbranson60122
2Caleb JonesHunter Brzustewicz40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Parker KellyMatias Maccelli60122
2Fedor SvechkovLiam Ohgren40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jayden StrubleErik Gudbranson60122
2Caleb JonesHunter Brzustewicz40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Parker Kelly60122Jayden StrubleErik Gudbranson60122
2Fedor Svechkov40122Caleb JonesHunter Brzustewicz40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Parker KellyMatias Maccelli60122
2Fedor SvechkovLiam Ohgren40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jayden StrubleErik Gudbranson60122
2Caleb JonesHunter Brzustewicz40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matias MaccelliParker KellyJayden StrubleErik Gudbranson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matias MaccelliParker KellyJayden StrubleErik Gudbranson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Liam Ohgren, Dalibor Dvorsky, Ozzy WiesblattLiam Ohgren, Dalibor DvorskyLiam Ohgren
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Erik Gudbranson, Caleb Jones, Hunter BrzustewiczErik GudbransonErik Gudbranson, Caleb Jones
Tirs de pénalité
, Parker Kelly, Fedor Svechkov, Matias Maccelli, Liam Ohgren
Gardien
#1 : Dan Vladar, #2 : Thatcher Demko


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Aces210001005411000010023-11100000031230.7505813004635407423533343413459132294125.00%10100.00%0560108051.85%668132550.42%30462049.03%832578886260473234
2Admirals211000009451010000023-11100000071620.5009132200463540756353334341344210428000%20100.00%0560108051.85%668132550.42%30462049.03%832578886260473234
3Americiens303000001216-41010000056-120200000710-300.000122234004635407100353334341341513806311327.27%000%0560108051.85%668132550.42%30462049.03%832578886260473234
4Barracuda4210001079-2210000105322110000026-460.7507111800463540799353334341341054512401119.09%60100.00%0560108051.85%668132550.42%30462049.03%832578886260473234
5Broncos1010000035-21010000035-20000000000000.0003690046354072335333434134229012200.00%000%0560108051.85%668132550.42%30462049.03%832578886260473234
6Bruins11000000615110000006150000000000021.0006121800463540735353334341343150195240.00%000%0560108051.85%668132550.42%30462049.03%832578886260473234
7Butter Knives1010000035-2000000000001010000035-200.000358004635407313533343413432104243133.33%20100.00%1560108051.85%668132550.42%30462049.03%832578886260473234
8Canucks411001101718-12110000089-12000011099050.6251729460046354071003533343413413928645200.00%3233.33%0560108051.85%668132550.42%30462049.03%832578886260473234
9Fighting Pandas10001000431000000000001000100043121.00047110046354071835333434134431049100.00%20100.00%0560108051.85%668132550.42%30462049.03%832578886260473234
10Griffins11000000431110000004310000000000021.000461000463540744353334341345190222150.00%000%0560108051.85%668132550.42%30462049.03%832578886260473234
11Ice Bats11000000321000000000001100000032121.000347004635407253533343413421708400.00%000%0560108051.85%668132550.42%30462049.03%832578886260473234
12Lynx1010000024-2000000000001010000024-200.00024600463540722353334341344014218100.00%10100.00%0560108051.85%668132550.42%30462049.03%832578886260473234
13Marlies1010000025-31010000025-30000000000000.0002460046354072335333434134347013000%000%0560108051.85%668132550.42%30462049.03%832578886260473234
14Nordiks3200001014953200001014950000000000061.00014233700463540711535333434134172388537228.57%40100.00%0560108051.85%668132550.42%30462049.03%832578886260473234
15Quacken513000101719-221000010104630300000715-840.400172441004635407146353334341341615012688112.50%60100.00%0560108051.85%668132550.42%30462049.03%832578886260473234
16Wombats11000000523000000000001100000052321.00059140046354072235333434134246011200.00%000%0560108051.85%668132550.42%30462049.03%832578886260473234
17Wranglers412000011319-620100001611-52110000078-130.3751323360046354071453533343413419159167410330.00%7185.71%0560108051.85%668132550.42%30462049.03%832578886260473234
Total36131501241126128-2187600131676251869011105966-7390.542126210336004635407104635333434134131835870536731520.55%34391.18%1560108051.85%668132550.42%30462049.03%832578886260473234
_Since Last GM Reset36131501241126128-2187600131676251869011105966-7390.542126210336004635407104635333434134131835870536731520.55%34391.18%1560108051.85%668132550.42%30462049.03%832578886260473234
_Vs Conference24107002418083-3136200131494271145001103141-10310.64680128208004635407716353334341348992495633948918.75%27388.89%0560108051.85%668132550.42%30462049.03%832578886260473234
_Vs Division1567002314650-47320012125196835001102131-10210.7004672118004635407387353334341344641363218225312.00%16287.50%0560108051.85%668132550.42%30462049.03%832578886260473234

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3639W1126210336104613183587053600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3613151241126128
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
187601316762
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
186911105966
Derniers 10 matchs
WLOTWOTL SOWSOL
531010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
731520.55%34391.18%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
353334341344635407
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
560108051.85%668132550.42%30462049.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
832578886260473234


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
24Wranglers6Barons2LSommaire du match
310Barons0Barracuda5LSommaire du match
519Barons5Wranglers4WSommaire du match
728Barons2Wranglers4LSommaire du match
942Wranglers5Barons4LXXSommaire du match
1150Barons4Canucks5LXSommaire du match
1463Barracuda2Barons3WXXSommaire du match
1678Barons2Barracuda1WSommaire du match
1885Aces3Barons2LXSommaire du match
21101Nordiks2Barons3WSommaire du match
24115Barons3Aces1WSommaire du match
25121Barons3Quacken4LSommaire du match
27131Broncos5Barons3LSommaire du match
30144Quacken3Barons4WXXSommaire du match
34163Canucks5Barons3LSommaire du match
37178Griffins3Barons4WSommaire du match
39185Barons2Lynx4LSommaire du match
41192Barons2Quacken5LSommaire du match
43200Barons3Ice Bats2WSommaire du match
45210Americiens6Barons5LSommaire du match
47221Barons3Butter Knives5LSommaire du match
49232Marlies5Barons2LSommaire du match
50244Barons7Admirals1WSommaire du match
52254Admirals3Barons2LSommaire du match
54263Barons5Canucks4WXXSommaire du match
56277Nordiks2Barons5WSommaire du match
58290Barons5Wombats2WSommaire du match
60298Canucks4Barons5WSommaire du match
62309Barons4Americiens5LSommaire du match
65322Quacken1Barons6WSommaire du match
67331Barons3Americiens5LSommaire du match
69341Barons2Quacken6LSommaire du match
70349Bruins1Barons6WSommaire du match
74367Nordiks5Barons6WXXSommaire du match
76380Barons4Fighting Pandas3WXSommaire du match
77387Barracuda1Barons2WSommaire du match
80402Barons-Tomahawks-
82410Griffins-Barons-
84422Barons-Broncos-
85432Tomahawks-Barons-
88440Barons-Griffins-
91453Barons-Ice Bats-
92461Fighting Pandas-Barons-
95470Barons-Bruins-
97479Roadrunners-Barons-
98491Barons-Barracuda-
101503Lynx-Barons-
103514Barons-Griffins-
104522Wombats-Barons-
107538Tomahawks-Barons-
108548Barons-Marlies-
111560Aces-Barons-
112570Barons-Aces-
114579Barons-Wranglers-
116588Lions-Barons-
120606Barracuda-Barons-
122616Barons-Aces-
123627Canucks-Barons-
125634Barons-Barracuda-
127649Broncos-Barons-
131667Lions-Barons-
133676Barons-Firebirds-
136692Fighting Pandas-Barons-
137697Barons-Firebirds-
140713Aces-Barons-
141718Barons-Canucks-
145734Firebirds-Barons-
147747Barons-Lions-
148756Barons-Wranglers-
149761Ice Bats-Barons-
152778Barons-Roadrunners-
154784Ice Bats-Barons-
157801Quacken-Barons-
160812Barons-Nordiks-
162823Broncos-Barons-
163830Barons-Tomahawks-
167844Wranglers-Barons-
168851Barons-Roadrunners-
171866Butter Knives-Barons-
174878Barons-Lions-
176887Wranglers-Barons-
177893Barons-Nordiks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
719,279$ 1,200,000$ 1,200,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,200,000$ 505,436$ 18 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 103 9,444$ 972,732$




Barons 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

Barons 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

Barons 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

Barons 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

Barons 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