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Wranglers
GP: 82 | W: 59 | L: 21 | OTL: 2 | P: 120
GF: 389 | GA: 151 | PP%: 20.05% | PK%: 87.75%
DG: Alex | Morale : 50 | Moyenne d’équipe : 61

Centre de jeu
Bears
12-68-2, 26pts
0
FINAL
6 Wranglers
59-21-2, 120pts
Team Stats
L15SéquenceW2
8-32-1Fiche domicile27-12-2
4-36-1Fiche domicile32-9-0
0-10-0Derniers 10 matchs6-4-0
2.21Buts par match 4.74
6.76Buts contre par match 1.84
5.61%Pourcentage en avantage numérique20.05%
68.28%Pourcentage en désavantage numérique87.75%
Wranglers
59-21-2, 120pts
4
FINAL
2 Wolf Pack
63-16-3, 129pts
Team Stats
W2SéquenceL1
27-12-2Fiche domicile33-6-2
32-9-0Fiche domicile30-10-1
6-4-0Derniers 10 matchs6-3-1
4.74Buts par match 4.89
1.84Buts contre par match 1.94
20.05%Pourcentage en avantage numérique18.06%
87.75%Pourcentage en désavantage numérique86.55%
Meneurs d'équipe
Buts
Zack Bolduc
59
Passes
Alex Newhook
77
Points
Zack Bolduc
133
Plus/Moins
Zack Bolduc
85
Jonas JohanssonVictoires
Jonas Johansson
58
Pourcentage d’arrêts
Kevin Mandolese
0.935

Statistiques d’équipe
Buts pour
389
4.74 GFG
Tirs pour
2498
30.46 Avg
Pourcentage en avantage numérique
20.1%
80 GF
Début de zone offensive
42.9%
Buts contre
151
1.84 GAA
Tirs contre
1344
16.39 Avg
Pourcentage en désavantage numérique
87.7%%
50 GA
Début de la zone défensive
34.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,866
Billets de saison0


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 51
Espoirs46


Historique d'équipe

Saison actuelle59-21-2 (120PTS)
Historique59-21-2 (0.720%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)10 - 8 (0.556%)
Coupe Stanley0


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
1Zack Bolduc (R)XX100.0080548581696393703569776425565674506802321,275,833$
2Alex NewhookXX100.0076449088726999706861716025666871506802512,750,000$
3Nicholas RobertsonXX100.0076439282626286663760736225606171506502431,800,000$
4Mike HardmanXX100.008076897076737661505662675947476550630273850,000$
5Tye KartyeXX100.009356807572548361316059672559606650630241925,000$
6Sean Farrell (R)XX100.007262946762788362785960635744446450620243775,000$
7David GustafssonXX100.006556937374525763696057692560616250610261900,000$
8Benoit-Olivier GroulxX100.007473756873524964806262645944446350600263850,000$
9Linus Karlsson (R)X100.007743916766577066316164612546476550600262925,000$
10Jonah GadjovichX100.009599627482516159555059632560606250600271900,000$
11Brandon BiroX100.007163896663697257506248614644445950580282800,000$
12Wyatt KaiserX100.0073429172647591612546498425565663506802321,208,333$
13Drew Helleson (R)X100.0083567672796985602552497825505063506702531,500,000$
14Kaedan KorczakX100.008045257576666060255947682554545950630252975,000$
15Alec RegulaX100.007877796577677153254941643946465550600251800,000$
16Blake HillmanX100.007974916474626747253741623944445350580302800,000$
17Daniil Misyul (R)X100.007268806568616546253739593744445150560253867,500$
Rayé
1Reese JohnsonXX100.00747180677165695164484665445959555057N0271775,000$
2Jalen Luypen (R)XX100.007162926362697450634451594844445650550233859,167$
3Damien GirouxX100.007062876362626553665151594844445750550261850,000$
MOYENNE D’ÉQUIPE100.00776182717064745946545565365152625061
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
1Jonas Johansson100.006052529066546958656041545461506203011,000,000$
Rayé
1Kevin Mandolese100.00514455875353525655543044445250550252775,000$
MOYENNE D’ÉQUIPE100.0056485489605461576057364949575059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette87889085888258USA5921,500,000$


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
1Zack BolducWranglers (CGY)LW/RW815974133855601311403108022619.03%6176921.8413203356298336183159650.00%47400051.50220001845
2Alex NewhookWranglers (CGY)C/LW82437712079435741862768315115.58%9170820.847222963306123163457167.40%172700111.40020001285
3Tye KartyeWranglers (CGY)C/LW82425496635801161292156916419.53%16154918.90618243928130381836047.09%130800011.24110006710
4Mike HardmanWranglers (CGY)LW/RW824348915910018832455417017.55%6139717.0410182854307000093160.53%7600011.3001000544
5Nicholas RobertsonWranglers (CGY)LW/RW823160917622069962147114614.49%10153218.69612184230903372017148.96%24100001.1902000296
6Wyatt KaiserWranglers (CGY)D821964836334066911555010212.26%84193523.60111526803201012335210%000000.8600000136
7Jonah GadjovichWranglers (CGY)RW822645715915335222691854111514.05%5132716.19671329285000003170.59%8500011.0700115335
8Sean FarrellWranglers (CGY)C/LW8228416958335501401904513514.74%7141617.2823577600061366066.64%105800010.9700010355
9Kaedan KorczakWranglers (CGY)D83954635314802716685265310.59%52157719.0181119612540110224210%000000.8000000144
10Linus KarlssonWranglers (CGY)RW823327606264086711733412919.08%6114313.9403363710131055148.65%11100001.0500000242
11David GustafssonWranglers (CGY)C/LW821937564910028881814511610.50%7118614.471017470000481059.57%9400000.9400000126
12Alec RegulaWranglers (CGY)D82635416662101053637163316.22%47177921.7141115172980550298000%000000.4600101021
13Benoit-Olivier GroulxWranglers (CGY)C82924334179151024761194114.75%25102212.47000030113811066.88%31700000.6511011112
14Blake HillmanWranglers (CGY)D82822307586101292337232721.62%49153018.662579187112118320100.00%100000.3900011000
15Drew HellesonWranglers (CGY)D4592029376915992653104716.98%24101922.66639311710110161310%000000.5700012121
16Daniil MisyulWranglers (CGY)D821171870735114193111203.23%41147718.0215681400000190100%000000.2400001000
17Brandon BiroWranglers (CGY)LW82314173648049304711236.38%1786610.5600012000010057.14%700000.3900000000
18Reese JohnsonWranglers (CGY)C/RW4826842003220399175.13%33797.9100001000000047.83%2300000.4200000000
19Josh DoanFlamesC/LW/RW111240001101510.00%02121.850000200001000%000001.8300000000
Statistiques d’équipe totales ou en moyenne1406391720111110391068100176113612544698172015.37%4142464217.53831532365103332101727642824581459.47%5522001100.90492511565862
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
1Jonas JohanssonWranglers (CGY)79582010.8871.85472621614612910300.7789793101
2Kevin MandoleseWranglers (CGY)31110.9350.981830034600100312001
Statistiques d’équipe totales ou en moyenne82592120.8891.824909216149133703198215102


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
Alec RegulaWranglers (CGY)D252000-08-05USANo203 Lbs6 ft4NoNoFree AgentNoYes12024-09-26FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Alex NewhookWranglers (CGY)C/LW252001-01-28CANNo200 Lbs5 ft11NoNoTrade2025-08-03NoYes12025-06-15FalseFalsePro & Farm2,750,000$0$0$No---------------------------Lien
Benoit-Olivier GroulxWranglers (CGY)C262000-02-06FRANo198 Lbs6 ft2NoNoFree AgentNoYes32025-08-15FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Blake HillmanWranglers (CGY)D301996-01-26USANo200 Lbs6 ft1NoNoFree AgentNoYes22024-09-26FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Brandon BiroWranglers (CGY)LW281998-03-11CANNo170 Lbs5 ft11NoNoFree AgentNoYes22024-09-26FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Damien GirouxWranglers (CGY)C262000-03-03ONTNo177 Lbs5 ft9NoNoN/ANoYes1FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Daniil MisyulWranglers (CGY)D252000-10-20BLRYes176 Lbs6 ft3NoNoAssign ManuallyNoYes32025-08-03FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Lien
David GustafssonWranglers (CGY)C/LW262000-04-11SWENo196 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien / Lien NHL
Drew HellesonWranglers (CGY)D252001-03-26USAYes213 Lbs6 ft3NoNoTrade2026-01-06NoYes32025-08-02FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Jalen LuypenWranglers (CGY)C/LW232002-06-28CANYes171 Lbs5 ft10NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm859,167$0$0$No859,167$859,167$-------859,167$859,167$-------NoNo-------Lien
Jonah GadjovichWranglers (CGY)RW271998-10-12CANNo211 Lbs6 ft3NoNoFree AgentNoYes12024-06-24FalseFalsePro & Farm900,000$0$0$No---------------------------Lien / Lien NHL
Jonas JohanssonWranglers (CGY)G301995-09-19SWENo218 Lbs6 ft5NoNoTrade2024-02-12NoYes1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Kaedan KorczakWranglers (CGY)D252001-01-29CANNo203 Lbs6 ft3NoNoTrade2026-01-30NoYes22024-06-24FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien
Kevin MandoleseWranglers (CGY)G252000-08-22CANNo207 Lbs6 ft5NoNoFree AgentNoYes22024-08-08FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------Lien
Linus KarlssonWranglers (CGY)RW261999-11-16SWEYes178 Lbs6 ft1NoNoAssign ManuallyNoYes22024-07-07FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Mike HardmanWranglers (CGY)LW/RW271999-02-05USANo205 Lbs6 ft2NoNoFree AgentNoYes32025-08-15FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Nicholas RobertsonWranglers (CGY)LW/RW242001-09-11USANo178 Lbs5 ft9NoNoFree AgentNoNo32025-08-15FalseFalsePro & Farm1,800,000$0$0$No1,800,000$1,800,000$-------1,800,000$1,800,000$-------NoNo-------Lien
Reese JohnsonWranglers (CGY)C/RW271998-07-10CANNo193 Lbs6 ft1YesNoFree AgentNoYes12025-09-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Sean FarrellWranglers (CGY)C/LW242001-11-02USAYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Tye KartyeWranglers (CGY)C/LW242001-04-30CANNo202 Lbs5 ft11NoNoAssign ManuallyNoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Wyatt KaiserWranglers (CGY)D232002-07-31USANo173 Lbs6 ft0NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm1,208,333$0$0$No1,208,333$--------1,208,333$--------No--------Lien
Zack BolducWranglers (CGY)LW/RW232003-02-24CANYes187 Lbs6 ft0NoNoAssign ManuallyNoNo22025-06-15FalseFalsePro & Farm1,275,833$0$0$No1,275,833$--------1,275,833$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.64192 Lbs6 ft11.951,052,765$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack BolducAlex NewhookNicholas Robertson40122
2Mike HardmanTye KartyeJonah Gadjovich30122
3David GustafssonSean FarrellLinus Karlsson20122
4Brandon BiroBenoit-Olivier GroulxZack Bolduc10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserDrew Helleson40122
2Kaedan KorczakAlec Regula30122
3Blake HillmanDaniil Misyul20122
4Wyatt KaiserDrew Helleson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack BolducAlex NewhookNicholas Robertson60122
2Mike HardmanTye KartyeJonah Gadjovich40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserDrew Helleson60122
2Kaedan KorczakAlec Regula40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zack BolducAlex Newhook60122
2Nicholas RobertsonTye Kartye40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserDrew Helleson60122
2Kaedan KorczakAlec Regula40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zack Bolduc60122Wyatt KaiserDrew Helleson60122
2Alex Newhook40122Kaedan KorczakAlec Regula40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zack BolducAlex Newhook60122
2Nicholas RobertsonTye Kartye40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserDrew Helleson60122
2Kaedan KorczakAlec Regula40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zack BolducAlex NewhookNicholas RobertsonWyatt KaiserDrew Helleson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zack BolducAlex NewhookNicholas RobertsonWyatt KaiserDrew Helleson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Farrell, David Gustafsson, Benoit-Olivier GroulxSean Farrell, David GustafssonBenoit-Olivier Groulx
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Blake Hillman, Daniil Misyul, Kaedan KorczakBlake HillmanDaniil Misyul, Kaedan Korczak
Tirs de pénalité
Zack Bolduc, Alex Newhook, Nicholas Robertson, Tye Kartye, Mike Hardman
Gardien
#1 : Jonas Johansson, #2 :
Lignes d’attaque personnalisées en prolongation
Zack Bolduc, Alex Newhook, Nicholas Robertson, Tye Kartye, Mike Hardman, Sean Farrell, David Gustafsson, Jonah Gadjovich, Benoit-Olivier Groulx, Linus Karlsson
Lignes de défense personnalisées en prolongation
Wyatt Kaiser, Drew Helleson, Kaedan Korczak, Alec Regula, Blake Hillman


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
1 Americans2020000057-21010000034-11010000023-100.0005101500147135103637783875832172412295913323.08%12283.33%01458236561.65%1067190356.07%760124261.19%246518531524507949528
2Admirals33000000182161100000010192200000081761.000183351011471351036107783875832174415358614535.71%150100.00%01458236561.65%1067190356.07%760124261.19%246518531524507949528
3Barracuda42200000880211000003302110000055040.500813210014713510369078387583217631764681317.69%24195.83%11458236561.65%1067190356.07%760124261.19%246518531524507949528
4Bears2200000014113110000006061100000081741.0001424380114713510367678387583217255194822100.00%60100.00%11458236561.65%1067190356.07%760124261.19%246518531524507949528
5Bruins220000001138110000006061100000053241.00011203101147135103651783875832173611223112433.33%11190.91%11458236561.65%1067190356.07%760124261.19%246518531524507949528
6Canucks210000101046110000007251000001032141.00010132300147135103661783875832174317203614428.57%10280.00%01458236561.65%1067190356.07%760124261.19%246518531524507949528
7Checkers32100000844211000003301100000051440.667813210014713510366278387583217521430551417.14%14192.86%01458236561.65%1067190356.07%760124261.19%246518531524507949528
8Comets3300000012481100000021122000000103761.00012203201147135103611178387583217371837775120.00%140100.00%01458236561.65%1067190356.07%760124261.19%246518531524507949528
9Condors422000001394211000007342110000066040.50013233600147135103698783875832175927396922313.64%17664.71%01458236561.65%1067190356.07%760124261.19%246518531524507949528
10Crunch2110000026-41010000005-51100000021120.500235001471351036397838758321742114053900.00%19384.21%01458236561.65%1067190356.07%760124261.19%246518531524507949528
11Eagles41300000712-52020000037-42110000045-120.2507121910147135103673783875832178120557727622.22%23482.61%01458236561.65%1067190356.07%760124261.19%246518531524507949528
12Firebirds220000002021811000000101911000000101941.00020395900147135103611978387583217286123522100.00%6266.67%01458236561.65%1067190356.07%760124261.19%246518531524507949528
13Griffins311001001055210001007161010000034-130.500101727011471351036106783875832174813307311218.18%13284.62%01458236561.65%1067190356.07%760124261.19%246518531524507949528
14Gulls660000005335033000000282263300000025124121.00053951480314713510362907838758321762125212412216.67%26292.31%11458236561.65%1067190356.07%760124261.19%246518531524507949528
15Ice Hogs220000002002011000000110111100000090941.000203555021471351036987838758321716712395360.00%60100.00%01458236561.65%1067190356.07%760124261.19%246518531524507949528
16Islanders2200000016115110000007071100000091841.00016304601147135103612378387583217241210456350.00%50100.00%01458236561.65%1067190356.07%760124261.19%246518531524507949528
17Marlies211000005411010000002-21100000052320.500510150014713510363278387583217449543915320.00%11281.82%01458236561.65%1067190356.07%760124261.19%246518531524507949528
18Monsters32100000131212110000078-11100000064240.66713203300147135103666783875832177113494823521.74%18477.78%01458236561.65%1067190356.07%760124261.19%246518531524507949528
19Moose220000001349110000005051100000084441.00013253801147135103656783875832172813194011327.27%7185.71%01458236561.65%1067190356.07%760124261.19%246518531524507949528
20Penguins220000001239110000005231100000071641.0001219310014713510368778387583217421216467114.29%8187.50%11458236561.65%1067190356.07%760124261.19%246518531524507949528
21Phantoms20101000660100010004311010000023-120.500691500147135103635783875832173418394917317.65%17382.35%11458236561.65%1067190356.07%760124261.19%246518531524507949528
22Reign42200000871211000005322110000034-140.500815230114713510367678387583217652061632613.85%27581.48%01458236561.65%1067190356.07%760124261.19%246518531524507949528
23Roadrunners4400000027423220000001621422000000112981.000275481001471351036156783875832176321306922731.82%120100.00%11458236561.65%1067190356.07%760124261.19%246518531524507949528
24Rocket21001000725100010003211100000040441.000712190114713510364978387583217391024371300.00%12191.67%11458236561.65%1067190356.07%760124261.19%246518531524507949528
25Senators22000000808110000003031100000050541.00081523021471351036417838758321722526271218.33%130100.00%11458236561.65%1067190356.07%760124261.19%246518531524507949528
26Silver Knights20100010660100000104311010000023-120.5006915001471351036407838758321737625521200.00%10190.00%01458236561.65%1067190356.07%760124261.19%246518531524507949528
27Stars220000001569110000008441100000072541.000152843001471351036757838758321750914286350.00%7271.43%01458236561.65%1067190356.07%760124261.19%246518531524507949528
28Thunderbirds22000000163131100000051411000000112941.000163046001471351036967838758321723712246116.67%60100.00%01458236561.65%1067190356.07%760124261.19%246518531524507949528
29Wild211000008621010000023-11100000063320.5008122000147135103640783875832173412283616531.25%13192.31%01458236561.65%1067190356.07%760124261.19%246518531524507949528
30Wolf Pack312000009901010000034-12110000065120.3339172600147135103662783875832176110485720315.00%15193.33%11458236561.65%1067190356.07%760124261.19%246518531524507949528
31Wolves210001009811000010045-11100000053230.7509172600147135103646783875832174710272612216.67%11281.82%01458236561.65%1067190356.07%760124261.19%246518531524507949528
Total8255210222038915123841241202210187751124131900010202761261200.73238969210811161471351036249878387583217134439297816163998020.05%4085087.75%101458236561.65%1067190356.07%760124261.19%246518531524507949528
_Since Last GM Reset8255210222038915123841241202210187751124131900010202761261200.73238969210811161471351036249878387583217134439297816163998020.05%4085087.75%101458236561.65%1067190356.07%760124261.19%246518531524507949528
_Vs Conference45311300010237791582214700010120378323176000001174275640.7112374336701814713510361451783875832176772044878692074521.74%2112787.20%31458236561.65%1067190356.07%760124261.19%246518531524507949528

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82120W23896921081249813443929781616116
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8255212220389151
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412412221018775
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41319001020276
Derniers 10 matchs
WLOTWOTL SOWSOL
541000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3998020.05%4085087.75%10
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
783875832171471351036
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
1458236561.65%1067190356.07%760124261.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
246518531524507949528


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
14Gulls0Wranglers9WSommaire du match
320Wranglers9Gulls0WSommaire du match
639Checkers2Wranglers1LSommaire du match
964Wranglers5Admirals1WSommaire du match
1178Griffins1Wranglers0LXSommaire du match
1395Wranglers0Eagles2LSommaire du match
16108Monsters5Wranglers3LSommaire du match
18128Wranglers3Reign1WSommaire du match
20141Eagles3Wranglers1LSommaire du match
22158Wranglers8Roadrunners1WSommaire du match
25175Roadrunners1Wranglers5WSommaire du match
28194Barracuda2Wranglers1LSommaire du match
31221Wranglers1Barracuda3LSommaire du match
32230Reign3Wranglers2LSommaire du match
36258Condors1Wranglers6WSommaire du match
39278Wranglers4Eagles3WSommaire du match
41290 Americans4Wranglers3LSommaire du match
43307Wranglers8Moose4WSommaire du match
44321Griffins0Wranglers7WSommaire du match
47339Wranglers3Roadrunners1WSommaire du match
49351Wranglers2Phantoms3LSommaire du match
50360Admirals1Wranglers10WSommaire du match
54387Silver Knights3Wranglers4WXXSommaire du match
56404Wranglers4Rocket0WSommaire du match
58418Bruins0Wranglers6WSommaire du match
59431Wranglers5Condors2WSommaire du match
62448Wranglers11Thunderbirds2WSommaire du match
63457Roadrunners1Wranglers11WSommaire du match
66481Wranglers2Silver Knights3LSommaire du match
67486Monsters3Wranglers4WSommaire du match
71514Stars4Wranglers8WSommaire du match
73530Wranglers5Wolves3WSommaire du match
75546Canucks2Wranglers7WSommaire du match
77558Wranglers5Marlies2WSommaire du match
79574Wranglers7Penguins1WSommaire du match
80584Islanders0Wranglers7WSommaire du match
83601Wranglers5Comets0WSommaire du match
85614Wild3Wranglers2LSommaire du match
87629Wranglers6Monsters4WSommaire du match
89641Wranglers3Canucks2WXXSommaire du match
90653Checkers1Wranglers2WSommaire du match
93678Wolves5Wranglers4LXSommaire du match
94689Wranglers6Wild3WSommaire du match
98710Senators0Wranglers3WSommaire du match
100734Wranglers1Condors4LSommaire du match
101742Reign0Wranglers3WSommaire du match
104763Wranglers3Admirals0WSommaire du match
105772Wranglers8Bears1WSommaire du match
107781Wolf Pack4Wranglers3LSommaire du match
110806Phantoms3Wranglers4WXSommaire du match
112813Wranglers3Griffins4LSommaire du match
115838Gulls1Wranglers11WSommaire du match
117852Wranglers5Bruins3WSommaire du match
119864Wranglers5Checkers1WSommaire du match
121876Thunderbirds1Wranglers5WSommaire du match
123892Wranglers9Ice Hogs0WSommaire du match
125907Wranglers9Islanders1WSommaire du match
126913Ice Hogs0Wranglers11WSommaire du match
129938Condors2Wranglers1LSommaire du match
130946Wranglers5Senators0WSommaire du match
133964Wranglers10Firebirds1WSommaire du match
135977Moose0Wranglers5WSommaire du match
137998Gulls1Wranglers8WSommaire du match
1401015Wranglers5Comets3WSommaire du match
1411025Wranglers2Crunch1WSommaire du match
1441040Comets1Wranglers2WSommaire du match
1461059Wranglers7Stars2WSommaire du match
1481069Wranglers7Gulls0WSommaire du match
1491079Barracuda1Wranglers2WSommaire du match
1511096Wranglers9Gulls1WSommaire du match
1531110Wranglers2 Americans3LSommaire du match
1541117Crunch5Wranglers0LSommaire du match
1571141Firebirds1Wranglers10WSommaire du match
1591150Wranglers0Reign3LSommaire du match
1621176Rocket2Wranglers3WXSommaire du match
1661199Penguins2Wranglers5WSommaire du match
1691227Eagles4Wranglers2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1731255Wranglers4Barracuda2WSommaire du match
1741261Marlies2Wranglers0LSommaire du match
1751270Wranglers2Wolf Pack3LSommaire du match
1791292Bears0Wranglers6WSommaire du match
1801300Wranglers4Wolf Pack2WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance37,73138,786
Assistance PCT46.01%94.60%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1866 - 62.21% 92,027$3,773,100$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,673,511$ 2,316,083$ 2,313,583$ 1,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,587$ 2,173,465$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 20,740$ 0$




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
1Zack Bolduc815974133855613114031019.03%6176921.8413203356336189650.00%51.5022
2Alex Newhook82437712079437418627615.58%9170820.847222963123167167.40%11.4002
3Tye Kartye82425496635811612921519.53%16154918.90618243930386047.09%11.2411
4Mike Hardman824348915910188324517.55%6139717.041018285400003160.53%11.3001
5Nicholas Robertson823160917622699621414.49%10153218.69612184203377148.96%01.1902

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
1Jonas Johansson79582010.8871.85472621614612910300.7789
2Kevin Mandolese31110.9350.981830034600100

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
202582552102220389151238412412022101877511241319000102027612612038969210811161471351036249878387583217134439297816163998020.05%4085087.75%101458236561.65%1067190356.07%760124261.19%246518531524507949528
Total Saison régulière82552102220389151238412412022101877511241319000102027612612038969210811161471351036249878387583217134439297816163998020.05%4085087.75%101458236561.65%1067190356.07%760124261.19%246518531524507949528
Séries éliminatoires
2024181080000057534826000002033-13108200000372017205710716402201818137412213611333791022683361052120.00%1101685.45%223352444.47%17945839.08%11026541.51%440308435130212105
Total Séries éliminatoires181080000057534826000002033-13108200000372017205710716402201818137412213611333791022683361052120.00%1101685.45%223352444.47%17945839.08%11026541.51%440308435130212105

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
1Jordan Harris1851217-3833303414.71%1936920.554610270111200%00.9200
2Benoit-Olivier Groulx18412164823423710.81%535619.802351801100041.27%00.9000
3Zachary Bolduc188816003374816.67%329616.475491700003035.00%01.0800
4David Gustafsson1851015061321827.78%337620.92358700000051.50%00.8000
5Linus Karlsson183121542218329.38%335119.52268810112031.75%00.8500

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
1Kevin Mandolese1810700.8642.75982024533000000
2Jonas Johansson50100.8374.621040084901000