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Wranglers
GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 37 | GA: 7 | PP%: 14.29% | PK%: 94.44%
DG: Alex | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #86 vs Roadrunners

Centre de jeu
Wranglers
4-1-0, 8pts
7
FINAL
2 Wolf Pack
1-4-0, 2pts
Team Stats
L1SéquenceL3
2-0-0Fiche domicile0-2-0
2-1-0Fiche domicile1-2-0
4-1-0Derniers 10 matchs1-4-0
7.40Buts par match 4.20
1.40Buts contre par match 6.20
14.29%Pourcentage en avantage numérique18.75%
94.44%Pourcentage en désavantage numérique92.86%
Wranglers
4-1-0, 8pts
1
FINAL
3 Reign
5-0-0, 10pts
Team Stats
L1SéquenceW5
2-0-0Fiche domicile3-0-0
2-1-0Fiche domicile2-0-0
4-1-0Derniers 10 matchs5-0-0
7.40Buts par match 6.00
1.40Buts contre par match 1.20
14.29%Pourcentage en avantage numérique16.00%
94.44%Pourcentage en désavantage numérique85.00%
Roadrunners
1-5-0, 2pts
Jour 14
Wranglers
4-1-0, 8pts
Statistiques d’équipe
L2SéquenceL1
0-2-0Fiche domicile2-0-0
1-3-0Fiche visiteur2-1-0
1-5-010 derniers matchs4-1-0
0.83Buts par match 7.40
8.67Buts contre par match 7.40
0.00%Pourcentage en avantage numérique14.29%
75.00%Pourcentage en désavantage numérique94.44%
Wranglers
4-1-0, 8pts
Jour 16
Gulls
0-5-0, 0pts
Statistiques d’équipe
L1SéquenceL5
2-0-0Fiche domicile0-3-0
2-1-0Fiche visiteur0-2-0
4-1-010 derniers matchs0-5-0
7.40Buts par match 2.40
1.40Buts contre par match 2.40
14.29%Pourcentage en avantage numérique18.18%
94.44%Pourcentage en désavantage numérique87.50%
Marlies
3-1-0, 6pts
Jour 18
Wranglers
4-1-0, 8pts
Statistiques d’équipe
W1SéquenceL1
2-0-0Fiche domicile2-0-0
1-1-0Fiche visiteur2-1-0
3-1-010 derniers matchs4-1-0
6.00Buts par match 7.40
2.25Buts contre par match 7.40
40.00%Pourcentage en avantage numérique14.29%
89.47%Pourcentage en désavantage numérique94.44%
Meneurs d'équipe
Brett SeneyButs
Brett Seney
7
Kai UchaczPasses
Kai Uchacz
12
Kai UchaczPoints
Kai Uchacz
15
Sean FarrellPlus/Moins
Sean Farrell
14
Trent MinerVictoires
Trent Miner
4
Trent MinerPourcentage d’arrêts
Trent Miner
0.908

Statistiques d’équipe
Buts pour
37
7.40 GFG
Tirs pour
162
32.40 Avg
Pourcentage en avantage numérique
14.3%
1 GF
Début de zone offensive
39.0%
Buts contre
7
1.40 GAA
Tirs contre
76
15.20 Avg
Pourcentage en désavantage numérique
94.4%%
1 GA
Début de la zone défensive
32.5%
Informations de l'équipe

Directeur généralAlex
EntraîneurPeter Laviolette
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1Florian Xhekaj
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,847
Billets de saison0


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 51
Espoirs49


Historique d'équipe

Saison actuelle4-1-0 (8PTS)
Historique4-1-0 (0.800%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)16 - 10 (0.615%)
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
1Zachary BolducXX100.0087458875686595754668686925616272506802311,275,833$
2Garnet HathawayX100.00999475798056836256535577257678655066N0343950,000$
3Robby FabbriXXX100.00824482746767556454636571357072645065N0303850,000$
4David GustafssonX100.008278917078636464806258725560616550640263925,000$
5Otto Stenberg (R)XX100.008064947068658364346759762546466750640213950,000$
6Kai Uchacz (R)X100.00798078668081866480626267594444665064N02333,100,000$
7Sonny MilanoXX100.00614295837452647057616464576768655064N0303850,000$
8Vinni LettieriX100.00716682676668706580626167586060655063N0313850,000$
9Brett SeneyXXX100.00635973625979836580636161585252645062N0303850,000$
10Sean FarrellX100.007365906365828762506259635644446450620252850,000$
11Jonah GadjovichX100.008782996582393845503844704261625350540283850,000$
12Wyatt KaiserX100.0067428680707894622551498625616165507002411,208,333$
13Justin HollX100.00797491677463675325464170396971565063N0343850,000$
14Caleb JonesX100.00767187737162655525504168396465565063N0293850,000$
15Kevin GravelX100.00797882627875834825374066385960545062N0343850,000$
16Jack PeartX100.007671885871707648253941613944445350580232925,000$
Rayé
1Reese JohnsonX100.007575766475616454504951664859595850580283850,000$
2Jalen LuypenX100.007670916070424053664458625544445750540242859,167$
3Blake HillmanX100.008174986074576047253741633944445350570301850,000$
MOYENNE D’ÉQUIPE100.00786787687264715949535468435758615062
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
1Trent Miner (R)100.00555265706058636460583044445350580253850,000$
2Kevin Mandolese100.00514455875353525655543044445250550261850,000$
Rayé
MOYENNE D’ÉQUIPE100.0053486079575658605856304444535057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette77798278918554USA6111,500,000$


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
1Kai UchaczWranglers (CGY)C53121514406824111512.50%08917.8910112000010082.54%6300003.3500000110
2Brett SeneyWranglers (CGY)C/LW/RW57512130017224931.82%08116.31000000000000100.00%300012.9400000120
3Wyatt KaiserWranglers (CGY)D50121212401074150%211422.9300016011016000%000002.0900000002
4Sean FarrellWranglers (CGY)LW56391440121951431.58%39418.83000000000100087.50%800011.9100000011
5Sonny MilanoWranglers (CGY)LW/RW545970007144828.57%18917.81000050000010100.00%300012.0200000100
6Robby FabbriWranglers (CGY)C/LW/RW5178820312145127.14%08617.23011270001130081.18%8500001.8600000000
7Zachary BolducWranglers (CGY)LW/RW5448900591252033.33%410821.62000070000171064.44%4500011.4800000100
8Garnet HathawayWranglers (CGY)RW55389951151721229.41%19318.79011171012162085.71%700001.7000001001
9David GustafssonWranglers (CGY)C5347720117120625.00%08817.6600005000000079.45%7300001.5900000000
10Otto StenbergWranglers (CGY)LW/RW534772064101630.00%19719.5800004000090060.00%500001.4300000000
11Justin HollWranglers (CGY)D5022520533010%59719.5300015000011000%000000.4100000000
12Kevin GravelWranglers (CGY)D502213401312020%48216.420000100001000%000000.4900000000
13Vinni LettieriWranglers (CGY)C51011001471314.29%0244.9200001000000081.25%1600000.8100000000
14Caleb JonesWranglers (CGY)D5011520721020%29418.870000500009000%000000.2100000000
15Jack PeartWranglers (CGY)D50111260710000%28416.940000000006000%000000.2400000000
16Jonah GadjovichWranglers (CGY)RW50008001211000%06913.850000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne80376510214441599801623911522.84%25139517.4512365911231174078.90%30800041.4600001444
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
1Trent MinerWranglers (CGY)54100.9081.40300017760000050000
Statistiques d’équipe totales ou en moyenne54100.9081.4030001776000050000


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 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
Blake HillmanWranglers (CGY)D301996-01-26USANo200 Lbs6 ft1NoNoAssign ManuallyNoYes12026-10-05FalseFalsePro & Farm850,000$798,364$0$0$No---------------------------Lien / Lien NHL
Brett SeneyWranglers (CGY)C/LW/RW301996-02-28CANNo167 Lbs5 ft9YesNoAssign ManuallyNoYes32026-10-05FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------YesYes-------Lien / Lien NHL
Caleb JonesWranglers (CGY)D291997-06-06USANo194 Lbs6 ft1YesNoFree AgentNoYes32026-08-14FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------YesYes-------Lien / Lien NHL
David GustafssonWranglers (CGY)C262000-04-11SWENo213 Lbs6 ft2NoNoFree AgentNoYes32026-08-01FalseFalsePro & Farm925,000$868,808$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Garnet HathawayWranglers (CGY)RW341991-11-23USANo212 Lbs6 ft2YesNoFree Agent2025-12-24NoYes32026-08-08FalseFalsePro & Farm950,000$892,290$0$0$No950,000$950,000$-------950,000$950,000$-------YesYes-------Lien / Lien NHL
Jack PeartWranglers (CGY)D232003-05-15USANo195 Lbs6 ft0NoNoTrade2026-07-18NoNo22025-06-14FalseFalsePro & Farm925,000$868,808$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jalen LuypenWranglers (CGY)C242002-03-02ABNo190 Lbs6 ft0NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm859,167$806,975$0$0$No859,167$--------859,167$--------No--------Lien / Lien NHL
Jonah GadjovichWranglers (CGY)RW281998-10-12CANNo211 Lbs6 ft3NoNoFree AgentNoYes32026-08-01FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Justin HollWranglers (CGY)D341992-01-30USANo194 Lbs6 ft4YesNoFree Agent2024-08-16NoYes32026-08-14FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------YesYes-------Lien / Lien NHL
Kai UchaczWranglers (CGY)C232003-06-24CANYes206 Lbs6 ft2YesNoFree AgentNoNo32026-08-14FalseFalsePro & Farm3,100,000$2,911,682$0$0$No3,100,000$3,100,000$-------3,100,000$3,100,000$-------YesYes-------Lien / Lien NHL
Kevin GravelWranglers (CGY)D341992-03-06USANo205 Lbs6 ft4YesNoFree AgentNoYes32026-08-14FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------YesYes-------Lien / Lien NHL
Kevin MandoleseWranglers (CGY)G262000-08-22CANNo207 Lbs6 ft5NoNoAssign ManuallyNoYes12026-10-05FalseFalsePro & Farm850,000$798,364$0$0$No---------------------------Lien / Lien NHL
Otto StenbergWranglers (CGY)LW/RW212005-05-29SWEYes188 Lbs5 ft11NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm950,000$892,290$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Reese JohnsonWranglers (CGY)RW281998-07-10CANNo205 Lbs6 ft1NoNoFree AgentNoYes32026-08-01FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Robby FabbriWranglers (CGY)C/LW/RW301996-01-22CANNo185 Lbs5 ft11YesNoFree AgentNoYes32026-08-14FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------YesYes-------Lien / Lien NHL
Sean FarrellWranglers (CGY)LW252001-11-02USANo188 Lbs5 ft9NoNoAssign ManuallyNoYes22026-10-05FalseFalsePro & Farm850,000$798,364$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Sonny MilanoWranglers (CGY)LW/RW301996-05-12USANo205 Lbs6 ft0YesNoFree AgentNoYes32026-08-14FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------YesYes-------Lien / Lien NHL
Trent MinerWranglers (CGY)G252001-02-05CANYes185 Lbs6 ft1NoNoAssign ManuallyNoYes32026-10-05FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Vinni LettieriWranglers (CGY)C311995-02-06USANo188 Lbs5 ft10YesNoFree AgentNoYes32026-08-14FalseFalsePro & Farm850,000$798,364$0$0$No850,000$850,000$-------850,000$850,000$-------YesYes-------Lien / Lien NHL
Wyatt KaiserWranglers (CGY)D242002-07-31USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm1,208,333$1,134,930$0$0$No---------------------------Lien / Lien NHL
Zachary BolducWranglers (CGY)LW/RW232003-02-24CANNo187 Lbs6 ft0NoNoAssign ManuallyNoNo12026-06-12FalseFalsePro & Farm1,275,833$1,198,329$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2127.52196 Lbs6 ft12.481,011,587$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary BolducRobby FabbriGarnet Hathaway40122
2Otto StenbergDavid GustafssonSonny Milano30122
3Sean FarrellKai UchaczBrett Seney20122
4Zachary BolducVinni LettieriJonah Gadjovich10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt Kaiser40122
2Justin HollCaleb Jones30122
3Kevin GravelJack Peart20122
4Wyatt Kaiser10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zachary BolducRobby FabbriGarnet Hathaway60122
2Otto StenbergDavid GustafssonSonny Milano40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt Kaiser60122
2Justin HollCaleb Jones40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zachary BolducGarnet Hathaway60122
2Robby FabbriOtto Stenberg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt Kaiser60122
2Justin HollCaleb Jones40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zachary Bolduc60122Wyatt Kaiser60122
2Garnet Hathaway40122Justin HollCaleb Jones40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zachary BolducGarnet Hathaway60122
2Robby FabbriOtto Stenberg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt Kaiser60122
2Justin HollCaleb Jones40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary BolducRobby FabbriGarnet HathawayWyatt Kaiser
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary BolducRobby FabbriGarnet HathawayWyatt Kaiser
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kai Uchacz, Vinni Lettieri, Sean FarrellKai Uchacz, Vinni LettieriSean Farrell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Gravel, Jack Peart, Justin HollKevin GravelJack Peart, Justin Holl
Tirs de pénalité
Zachary Bolduc, Garnet Hathaway, Robby Fabbri, Otto Stenberg, David Gustafsson
Gardien
#1 : Trent Miner, #2 : Kevin Mandolese
Lignes d’attaque personnalisées en prolongation
Zachary Bolduc, Garnet Hathaway, Robby Fabbri, Otto Stenberg, David Gustafsson, Sonny Milano, Kai Uchacz, Vinni Lettieri, Sean Farrell, Brett Seney
Lignes de défense personnalisées en prolongation
Wyatt Kaiser, , Justin Holl, Caleb Jones, Kevin Gravel


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
1Gulls220000001911811000000918110000001001041.000193453011510120804859550221212402150.00%60100.00%19612080.00%7510075.00%728881.82%17614168235433
2Reign1010000013-2000000000001010000013-200.000123001510120104859550196810400.00%40100.00%09612080.00%7510075.00%728881.82%17614168235433
3Wolf Pack11000000725000000000001100000072521.000712190015101203048595502241329000%40100.00%09612080.00%7510075.00%728881.82%17614168235433
4Wolves1100000010191100000010190000000000021.000101727001510120424859550133820100.00%4175.00%09612080.00%7510075.00%728881.82%17614168235433
Total54100000377302200000019217321000001851380.80037651020115101201624859550762541997114.29%18194.44%19612080.00%7510075.00%728881.82%17614168235433
_Since Last GM Reset54100000377302200000019217321000001851380.80037651020115101201624859550762541997114.29%18194.44%19612080.00%7510075.00%728881.82%17614168235433
_Vs Conference32100000204161100000091821100000113840.667203656011510120904859550411820506116.67%100100.00%19612080.00%7510075.00%728881.82%17614168235433

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
58L137651021627625419901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5410000377
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000192
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3210000185
Derniers 10 matchs
WLOTWOTL SOWSOL
410000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7114.29%18194.44%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
48595501510120
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
9612080.00%7510075.00%728881.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
17614168235433


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
12Wranglers10Gulls0WSommaire du match
421Gulls1Wranglers9WSommaire du match
743Wolves1Wranglers10WSommaire du match
849Wranglers7Wolf Pack2WSommaire du match
1167Wranglers1Reign3LSommaire du match
1486Roadrunners-Wranglers-
16100Wranglers-Gulls-
18116Marlies-Wranglers-
21136Reign-Wranglers-
24155Wranglers-Condors-
27175Eagles-Wranglers-
29188Wranglers-Roadrunners-
31196Wranglers-Barracuda-
33209Stars-Wranglers-
35222Wranglers-Rocket-
36236Wranglers-Islanders-
39253Barracuda-Wranglers-
41267Wranglers-Phantoms-
43282Stars-Wranglers-
45296Wranglers-Crunch-
48312Wranglers-Condors-
49320Islanders-Wranglers-
53340Bruins-Wranglers-
56360Wranglers-Wolves-
58372Penguins-Wranglers-
60386Wranglers-Checkers-
62403Crunch-Wranglers-
67433Comets-Wranglers-
70452Wranglers-Moose-
73469Firebirds-Wranglers-
76489Wranglers-Silver Knights-
78496Admirals-Wranglers-
80506Wranglers-Stars-
84528Checkers-Wranglers-
89557Rocket-Wranglers-
93584Wild-Wranglers-
95599Wranglers-Thunderbirds-
98616Barracuda-Wranglers-
100628Wranglers-Ice Hogs-
102641Wranglers-Bears-
104653Roadrunners-Wranglers-
106664Wranglers-Admirals-
108677Wranglers-Gulls-
110689Gulls-Wranglers-
112698Wranglers-Wild-
116724 Americans-Wranglers-
119749Senators-Wranglers-
123773Wranglers-Firebirds-
125782Reign-Wranglers-
129807Marlies-Wranglers-
131814Wranglers-Senators-
133828Wranglers- Americans-
135841Eagles-Wranglers-
136853Wranglers-Reign-
140878Bears-Wranglers-
142893Wranglers-Penguins-
144907Ice Hogs-Wranglers-
148928Wranglers-Comets-
150940Silver Knights-Wranglers-
153957Wranglers-Roadrunners-
155973Wolves-Wranglers-
158996Wranglers-Canucks-
1601002Wranglers-Griffins-
1621013Wranglers-Eagles-
1631018Wolf Pack-Wranglers-
1661040Monsters-Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681054Wranglers-Monsters-
1711067Wranglers-Wolf Pack-
1731079Moose-Wranglers-
1761102Wranglers-Rocket-
1771112Gulls-Wranglers-
1801129Wranglers-Barracuda-
1821143Griffins-Wranglers-
1861169Phantoms-Wranglers-
1881182Wranglers-Islanders-
1921202Canucks-Wranglers-
1931216Wranglers-Bruins-
1961231Wranglers-Marlies-
1981241Thunderbirds-Wranglers-
2041266Condors-Wranglers-
2061277Wranglers-Eagles-
2101299Condors-Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance1,7781,915
Assistance PCT44.45%95.75%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 1847 - 61.55% 88,900$177,800$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
220,168$ 2,124,333$ 2,124,333$ 1,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,927$ 129,051$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,467,100$ 201 16,936$ 3,404,136$




Wranglers 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
1Kai Uchacz531215144682412.50%08917.89101100000082.54%03.3500
2Brett Seney57512130172231.82%08116.310000000000100.00%12.9400
3Wyatt Kaiser50121212410740%211422.9300010110000%02.0900
4Sonny Milano545970071428.57%18917.810000000010100.00%12.0200
5Sean Farrell5639144121931.58%39418.83000000000087.50%11.9100

Wranglers 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
1Trent Miner54100.9081.403000177600000

Wranglers 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
2026541000003773022000000192173210000018513837651020115101201624859550762541997114.29%18194.44%19612080.00%7510075.00%728881.82%17614168235433
Total Saison régulière541000003773022000000192173210000018513837651020115101201624859550762541997114.29%18194.44%19612080.00%7510075.00%728881.82%17614168235433
Séries éliminatoires
20252616100000068581013940000036279137600000323113268113181022222204524151199147275131454024851622314.20%1621193.21%036875648.68%33072445.58%22340754.79%646439655203337169
Total Séries éliminatoires2616100000068581013940000036279137600000323113268113181022222204524151199147275131454024851622314.20%1621193.21%036875648.68%33072445.58%22340754.79%646439655203337169

Wranglers 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
1Zack Bolduc261372082644597018.57%460623.323361800021239.08%00.6600
2Mike Hardman2610919-7617296415.63%147118.1547112300000235.71%00.8100
3Alex Newhook266111751226594712.77%253520.592462300041158.28%00.6300
4David Gustafsson2651015-589433813.16%637614.50000200001056.25%00.8000
5Tye Kartye2641014-6326348419.76%553120.443471600021039.28%00.5300

Wranglers 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
1Jonas Johansson2616730.8882.111625225750902000
2Kevin Mandolese10000.7505.0012001400000