Connexion

Barracuda
GP: 5 | W: 1 | L: 4
GF: 18 | GA: 23 | PP%: 22.22% | PK%: 77.78%
DG: Roland Roberge | Morale : 20 | Moyenne d’équipe : 63
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Centre de jeu
Barracuda
1-4-0, 2pts
4
FINAL
6 Wranglers
16-3-0, 32pts
Team Stats
L2SéquenceW5
0-3-0Fiche domicile7-2-0
1-1-0Fiche domicile9-1-0
1-4-0Derniers 10 matchs10-0-0
3.60Buts par match 4.63
4.60Buts contre par match 3.32
22.22%Pourcentage en avantage numérique26.58%
77.78%Pourcentage en désavantage numérique78.87%
Wranglers
16-3-0, 32pts
8
FINAL
4 Barracuda
1-4-0, 2pts
Team Stats
W5SéquenceL2
7-2-0Fiche domicile0-3-0
9-1-0Fiche domicile1-1-0
10-0-0Derniers 10 matchs1-4-0
4.63Buts par match 3.60
3.32Buts contre par match 4.60
26.58%Pourcentage en avantage numérique22.22%
78.87%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Buts
Emil Pettersson
4
Passes
William Carrier
8
Points
William Carrier
11
Plus/Moins
Robin Norell
4
Victoires
Joni Ortio
1
Pourcentage d’arrêts
Joni Ortio
0.876

Statistiques d’équipe
Buts pour
18
3.60 GFG
Tirs pour
174
34.80 Avg
Pourcentage en avantage numérique
22.2%
4 GF
Début de zone offensive
34.8%
Buts contre
23
4.60 GAA
Tirs contre
162
32.40 Avg
Pourcentage en désavantage numérique
77.8%%
6 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralRoland Roberge
EntraîneurDale Hunter
DivisionThayer-Tutt
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,994
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 250
Espoirs0


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
1William Carrier (R)X100.008240787372697876708168677064513658710242980,000$
2Kurtis Macdermid (R)X100.008161776775667870577559766055544469700242850,000$
3Emil Pettersson (R)X100.006828827071647773767672596762493471690242800,000$
4Cole Ully (R)X100.006537816964757271738270516850474071680231725,000$
5Theodor Blueger (R)X100.006935806966707175617173586652483771670242800,000$
6Alex Henriksson (R)X100.006832776961637569647468617249473771660231700,000$
7Mario LuciaX100.006137726670676270675982545951513149650251750,000$
8Noah Gregor (R)X100.006233797362636465666574636743446271650202600,000$
9Kyle Platzer (R)X100.004939707146715874656765658245463568640232500,000$
10Thomas Gobeil (R)X100.006640655862627168666359506548473239600241650,000$
11Jaedon Descheneau (R)X100.004443685954656458676769404945472861580231500,000$
12Nikolai Kovalenko (R)X100.005939646266655461645952436441436653560192500,000$
13Eric GustafssonX100.006827817771748085528260705773543342720262990,000$
14Samuel GroulxX100.006435707169806872477467775569572440700281975,000$
15Logan Stanley (R)X100.008243717580835460457058725647446539700202850,000$
16Robin Norell (R)X100.007033836766736865437352826053483771690232750,000$
17Mac Hollowell (R)X100.006545776061726055446554685645436843630202500,000$
18Jordan Gross (R)X100.007028696364656864446965635047523462630231650,000$
Rayé
1Aleksi Heponiemi (R)X100.005631736560646965777868495342427019630191500,000$
2Jacob Peterson (R)X100.006132685371646866606473446242426320610191500,000$
3Ben Jones (R)X100.006430745069585954636369446141416120580191500,000$
4Scott Reedy (R)X100.005232716063625862565767375941416420570191500,000$
5Alexei Toropchenko (R)X100.005829585059495354485670456441416133540191500,000$
6Alex Lintuniemi (R)X100.005535696657585573286954624444444621600221700,000$
7Dennis Cholowski (R)X100.006137794856697057286862535542426419590202575,000$
8Bode Wilde (R)X100.007039615862644553315749554240407419570182500,000$
9Ryan Merkley (R)X100.005920685045525160355860454540407220530182500,000$
MOYENNE D’ÉQUIPE100.00643673646466656655686458604946494663
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
1Joni Ortio100.00667973757576768272716760563170730272900,000$
2Joacim Eriksson100.00727170786857637470636860562372670281800,000$
Rayé
1Kevin Mandolese (R)100.00674857707240485862406440406522560182500,000$
MOYENNE D’ÉQUIPE100.0068666774725862716858665351405565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dale Hunter77816664436854Can671650,000$


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
1William CarrierBarracuda (S.J)LW5381100085257912.00%511222.550117150000200060.00%1522001.9501000010
2Emil PetterssonBarracuda (S.J)C546100406151731523.53%711022.161124150000180048.48%19862001.8100000200
3Eric GustafssonBarracuda (S.J)D5134-420710191085.26%1513827.66000116000120000%044000.5800000000
4Kurtis MacdermidBarracuda (S.J)LW52242001111146914.29%18116.29112111000090025.00%400000.9800000001
5Theodor BluegerBarracuda (S.J)C5224220611214109.52%08416.861124110000120052.00%5032000.9500000000
6Cole UllyBarracuda (S.J)LW5022-4007110040%45711.47000000000100100.00%511000.7000000000
7Logan StanleyBarracuda (S.J)D5022420672320%710220.46011010000014000%003000.3900000000
8Jordan GrossBarracuda (S.J)D5022-360455010%55611.210000000000000%003000.7100000000
9Noah GregorBarracuda (S.J)C5202-34053111718.18%15410.9400000000010027.59%2901000.7300000000
10Alex HenrikssonBarracuda (S.J)LW5101-2008381212.50%15110.270000000006000%010000.3900000000
11Mario LuciaBarracuda (S.J)RW51011605373414.29%58817.78000215000001040.00%502000.2300000000
12Robin NorellBarracuda (S.J)D51014006951220.00%710521.09101210000017000%012000.1900000000
13Samuel GroulxBarracuda (S.J)D5011-48071411570%1013727.49011116000018000%013000.1500000000
14Thomas GobeilBarracuda (S.J)RW51012807342225.00%07114.29000011000000075.00%412000.2800000000
15Jaedon DescheneauBarracuda (S.J)RW5000-440113010%05711.490000000000000%01200000000000
16Kyle PlatzerBarracuda (S.J)C5000-120259140%0479.4200000000060060.00%201000000000000
17Mac HollowellBarracuda (S.J)D5000-300142010%66012.180000000004000%00300000000000
18Nikolai KovalenkoBarracuda (S.J)RW5000-140511110%0418.210000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne90182846-14520102111174488910.34%74145916.2146102213900011511049.09%3302232000.6301000211
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
1Joni OrtioBarracuda (S.J)51300.8764.02269001814569000050000
2Joacim ErikssonBarracuda (S.J)20100.70610.0030005176000005000
Statistiques d’équipe totales ou en moyenne71400.8584.6229900231627500055000


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 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 Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Aleksi HeponiemiBarracuda (S.J)C191999-01-01Yes155 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Alex HenrikssonBarracuda (S.J)LW231995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No------------------
Alex LintuniemiBarracuda (S.J)D221996-01-01Yes214 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No------------------
Alexei ToropchenkoBarracuda (S.J)RW191999-01-01Yes222 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Ben JonesBarracuda (S.J)C191999-01-01Yes187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Bode WildeBarracuda (S.J)D182000-01-01Yes195 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Cole UllyBarracuda (S.J)LW231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm725,000$0$0$No------------------
Dennis CholowskiBarracuda (S.J)D201998-01-01Yes196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm575,000$0$0$No575,000$--------No--------
Emil PetterssonBarracuda (S.J)C241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------
Eric GustafssonBarracuda (S.J)D261992-01-01No176 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm990,000$0$0$No990,000$--------No--------
Jacob PetersonBarracuda (S.J)C191999-01-01Yes180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Jaedon DescheneauBarracuda (S.J)RW231995-01-01Yes192 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Joacim ErikssonBarracuda (S.J)G281990-01-01No189 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------
Joni OrtioBarracuda (S.J)G271991-01-01No185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------
Jordan GrossBarracuda (S.J)D231995-01-01Yes190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Kevin MandoleseBarracuda (S.J)G182000-01-01Yes180 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Kurtis MacdermidBarracuda (S.J)LW241994-01-01Yes233 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------No--------
Kyle PlatzerBarracuda (S.J)C231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------
Logan StanleyBarracuda (S.J)D201998-01-01Yes231 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------No--------
Mac HollowellBarracuda (S.J)D201998-01-01Yes170 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Mario LuciaBarracuda (S.J)RW251993-01-01No204 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------
Nikolai KovalenkoBarracuda (S.J)RW191999-01-01Yes185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Noah GregorBarracuda (S.J)C201998-01-01Yes185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------No--------
Robin NorellBarracuda (S.J)D231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------
Ryan MerkleyBarracuda (S.J)D182000-01-01Yes186 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Samuel GroulxBarracuda (S.J)D281990-01-01No182 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No------------------
Scott ReedyBarracuda (S.J)C191999-01-01Yes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Theodor BluegerBarracuda (S.J)C241994-01-01Yes171 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------
Thomas GobeilBarracuda (S.J)RW241994-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
William CarrierBarracuda (S.J)LW241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm980,000$0$0$No980,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3022.07190 Lbs6 ft11.53668,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William CarrierEmil PetterssonMario Lucia40131
2Kurtis MacdermidTheodor BluegerThomas Gobeil30131
3Cole UllyNoah GregorJaedon Descheneau20131
4Alex HenrikssonKyle PlatzerNikolai Kovalenko10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eric GustafssonSamuel Groulx40131
2Logan StanleyRobin Norell30131
3Mac HollowellJordan Gross20131
4Eric GustafssonSamuel Groulx10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William CarrierEmil PetterssonMario Lucia60113
2Kurtis MacdermidTheodor BluegerThomas Gobeil40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eric GustafssonSamuel Groulx60122
2Logan StanleyRobin Norell40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Emil PetterssonWilliam Carrier60140
2Theodor BluegerKurtis Macdermid40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eric GustafssonSamuel Groulx60140
2Logan StanleyRobin Norell40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Emil Pettersson60140Eric GustafssonSamuel Groulx60140
2Theodor Blueger40140Logan StanleyRobin Norell40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Emil PetterssonWilliam Carrier60131
2Theodor BluegerKurtis Macdermid40131
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Eric GustafssonSamuel Groulx60131
2Logan StanleyRobin Norell40131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William CarrierEmil PetterssonMario LuciaEric GustafssonSamuel Groulx
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William CarrierEmil PetterssonMario LuciaEric GustafssonSamuel Groulx
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Theodor Blueger, Alex Henriksson, Mario LuciaTheodor Blueger, Alex HenrikssonTheodor Blueger
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Robin Norell, Mac Hollowell, Jordan GrossRobin NorellRobin Norell, Mac Hollowell
Tirs de pénalité
William Carrier, Kurtis Macdermid, Emil Pettersson, Cole Ully, Theodor Blueger
Gardien
#1 : Joni Ortio, #2 : Joacim Eriksson
Lignes d’attaque personnalisées en prolongation
William Carrier, Kurtis Macdermid, Emil Pettersson, Cole Ully, Theodor Blueger, Alex Henriksson, Alex Henriksson, Mario Lucia, Noah Gregor, Kyle Platzer, Thomas Gobeil
Lignes de défense personnalisées en prolongation
Eric Gustafsson, Samuel Groulx, Logan Stanley, Robin Norell, Mac Hollowell


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
1Wranglers514000001823-530300000816-821100000107320.2001828460074701745164590162745210218422.22%27677.78%06011552.17%5712645.24%458950.56%10258108478943
Total514000001823-530300000816-821100000107320.2001828460074701745164590162745210218422.22%27677.78%06011552.17%5712645.24%458950.56%10258108478943
_Since Last GM Reset514000001823-530300000816-821100000107320.2001828460074701745164590162745210218422.22%27677.78%06011552.17%5712645.24%458950.56%10258108478943
_Vs Conference514000001823-530300000816-821100000107320.2001828460074701745164590162745210218422.22%27677.78%06011552.17%5712645.24%458950.56%10258108478943

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L2182846174162745210200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001823
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000816
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2110000107
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18422.22%27677.78%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
51645907470
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
6011552.17%5712645.24%458950.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10258108478943


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
14Wranglers4Barracuda3LSommaire du match
212Wranglers4Barracuda1LSommaire du match
320Barracuda6Wranglers1WSommaire du match
428Barracuda4Wranglers6LSommaire du match
536Wranglers8Barracuda4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance6,0002,981
Assistance PCT100.00%99.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 2994 - 99.79% 188,734$566,202$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,004,500$ 2,004,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Barracuda 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

Barracuda 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

Barracuda 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

Barracuda 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

Barracuda 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