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Wranglers
GP: 25 | W: 15 | L: 10
GF: 62 | GA: 54 | PP%: 13.55% | PK%: 93.04%
DG: Alex | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #105 vs Monsters

Centre de jeu
Monsters
15-10-0, 30pts
2
FINAL
1 Wranglers
15-10-0, 30pts
Team Stats
L1SéquenceW1
7-5-0Fiche domicile8-4-0
8-5-0Fiche domicile7-6-0
6-3-1Derniers 10 matchs6-3-1
3.12Buts par match 2.48
3.00Buts contre par match 2.16
15.29%Pourcentage en avantage numérique13.55%
87.34%Pourcentage en désavantage numérique93.04%
Wranglers
15-10-0, 30pts
5
FINAL
1 Monsters
15-10-0, 30pts
Team Stats
W1SéquenceL1
8-4-0Fiche domicile7-5-0
7-6-0Fiche domicile8-5-0
6-3-1Derniers 10 matchs6-3-1
2.48Buts par match 3.12
2.16Buts contre par match 3.00
13.55%Pourcentage en avantage numérique15.29%
93.04%Pourcentage en désavantage numérique87.34%
Monsters
15-10-0, 30pts
Jour 49
Wranglers
15-10-0, 30pts
Statistiques d’équipe
L1SéquenceW1
7-5-0Fiche domicile8-4-0
8-5-0Fiche visiteur7-6-0
6-3-110 derniers matchs6-3-1
3.12Buts par match 2.48
3.00Buts contre par match 2.48
15.29%Pourcentage en avantage numérique13.55%
87.34%Pourcentage en désavantage numérique93.04%
Meneurs d'équipe
Buts
Zack Bolduc
12
Passes
Alex Newhook
11
Points
Zack Bolduc
17
Plus/Moins
Zack Bolduc
6
Jonas JohanssonVictoires
Jonas Johansson
15
Jonas JohanssonPourcentage d’arrêts
Jonas Johansson
0.888

Statistiques d’équipe
Buts pour
62
2.48 GFG
Tirs pour
493
19.72 Avg
Pourcentage en avantage numérique
13.5%
21 GF
Début de zone offensive
40.1%
Buts contre
54
2.16 GAA
Tirs contre
478
19.12 Avg
Pourcentage en désavantage numérique
93.0%%
11 GA
Début de la zone défensive
38.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,424
Billets de saison0


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 51
Espoirs46


Historique d'équipe

Saison actuelle15-10
Historique59-21-2 (0.720%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)15 - 10 (0.600%)
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 KartyeXX100.009356807572548361316059672559606650630251925,000$
6Sean Farrell (R)XX100.007262946762788362785960635744446450620243775,000$
7David GustafssonXX100.006556937374525763696057692560616250610261900,000$
8Benoit-Olivier GroulxX100.007473756873524964806262645944446350600263850,000$
9Linus Karlsson (R)X100.007743916766577066316164612546476550600262925,000$
10Brandon BiroX100.007163896663697257506248614644445950580282800,000$
11Wyatt KaiserX100.0073429172647591612546498425565663506802321,208,333$
12Drew Helleson (R)X100.0083567672796985602552497825505063506702531,500,000$
13Kaedan KorczakX100.008045257576666060255947682554545950630252975,000$
14Blake HillmanX100.007974916474626747253741623944445350580302800,000$
15Daniil Misyul (R)X100.007268806568616546253739593744445150560253867,500$
Rayé
1Jonah GadjovichX100.009599627482516159555059632560606250600271900,000$
2Reese JohnsonXX100.00747180677165695164484665445959555057N0271775,000$
3Jalen Luypen (R)XX100.007162926362697450634451594844445650550233859,167$
4Damien GirouxX100.007062876362626553665151594844445750550261850,000$
5Alec RegulaX100.007877796577677153254941643946465550600251800,000$
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$
2Kevin Mandolese100.00514455875353525655543044445250550252775,000$
Rayé
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/RW25125176260425867173317.91%458223.313361711000021081239.48%27100000.5800000430
2Mike HardmanWranglers (CGY)LW/RW2510717-540152960163716.67%145418.1945922124000000234.62%2600000.7500000212
3Alex NewhookWranglers (CGY)C/LW254111541202655447449.09%251420.582462312000041281158.35%47300000.5800000003
4David GustafssonWranglers (CGY)C/LW2541014-58094137112110.81%636114.460002150000121057.14%1400000.7700000120
5Kaedan KorczakWranglers (CGY)D2549132560902023101217.39%1855222.11325171100000106110%000000.4700000101
6Wyatt KaiserWranglers (CGY)D257512-580182835102720.00%3561624.65448261240000115300%000000.3900000022
7Nicholas RobertsonWranglers (CGY)LW/RW25571256017345312369.43%344417.80156201180000753033.33%7200000.5400000022
8Tye KartyeWranglers (CGY)C/LW2521012-430062473517435.71%551220.50145121120002660039.00%41800000.4700000011
9Sean FarrellWranglers (CGY)C/LW2521012-71001945336256.06%344417.760116360000491055.16%31000000.5400000010
10Linus KarlssonWranglers (CGY)RW257411-7200272436142019.44%133313.3300014000004023.53%1700000.6600000212
11Drew HellesonWranglers (CGY)D251910-46955215225174.55%1558223.2916718121000190000%000000.3400000020
12Benoit-Olivier GroulxWranglers (CGY)C25077610083711580%12279.09011120000740062.72%16900000.6200000101
13Daniil MisyulWranglers (CGY)D25066320033134160%1541016.42011213000053000%000000.2900000000
14Alec RegulaWranglers (CGY)D16224-119581261833.33%1033921.23123569000070000%000000.2400001000
15Blake HillmanWranglers (CGY)D25022022019511030%1640916.38011428000026000%000000.1000000000
16Jonah GadjovichWranglers (CGY)RW10202-462102317134515.38%115915.94101350000000071.43%700000.2500200000
17Brandon BiroWranglers (CGY)LW250114100493450%01305.2101100000000057.14%700000.1500000000
Statistiques d’équipe totales ou en moyenne40162105167-123922047248949314035012.58%136707517.652140611791163000997715649.16%178400000.4700201111514
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)2515730.8882.031565225347400000250101
2Kevin MandoleseWranglers (CGY)10000.7505.0012001400000025000
Statistiques d’équipe totales ou en moyenne2615730.8872.051578225447800002525101


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 AgentNoNo12024-09-26FalseFalsePro & Farm800,000$16,327$0$0$No---------------------------Lien
Alex NewhookWranglers (CGY)C/LW252001-01-28CANNo200 Lbs5 ft11NoNoTrade2025-08-03NoNo12025-06-15FalseFalsePro & Farm2,750,000$56,122$0$0$No---------------------------Lien
Benoit-Olivier GroulxWranglers (CGY)C262000-02-06FRANo198 Lbs6 ft2NoNoFree AgentNoNo32025-08-15FalseFalsePro & Farm850,000$17,347$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Blake HillmanWranglers (CGY)D301996-01-26USANo200 Lbs6 ft1NoNoFree AgentNoNo22024-09-26FalseFalsePro & Farm800,000$16,327$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Brandon BiroWranglers (CGY)LW281998-03-11CANNo170 Lbs5 ft11NoNoFree AgentNoNo22024-09-26FalseFalsePro & Farm800,000$16,327$0$0$No800,000$--------800,000$--------No--------Lien
Damien GirouxWranglers (CGY)C262000-03-03ONTNo177 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm850,000$17,347$0$0$No---------------------------Lien
Daniil MisyulWranglers (CGY)D252000-10-20BLRYes176 Lbs6 ft3NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm867,500$17,704$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Lien
David GustafssonWranglers (CGY)C/LW262000-04-11SWENo196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$18,367$0$0$No---------------------------Lien / Lien NHL
Drew HellesonWranglers (CGY)D252001-03-26USAYes213 Lbs6 ft3NoNoTrade2026-01-06NoNo32025-08-02FalseFalsePro & Farm1,500,000$30,612$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$17,534$0$0$No859,167$859,167$-------859,167$859,167$-------NoNo-------Lien
Jonah GadjovichWranglers (CGY)RW271998-10-12CANNo211 Lbs6 ft3NoNoFree AgentNoNo12024-06-24FalseFalsePro & Farm900,000$18,367$0$0$No---------------------------Lien / Lien NHL
Jonas JohanssonWranglers (CGY)G301995-09-19SWENo218 Lbs6 ft5NoNoTrade2024-02-12NoNo1FalseFalsePro & Farm1,000,000$20,408$0$0$No---------------------------Lien / Lien NHL
Kaedan KorczakWranglers (CGY)D252001-01-29CANNo203 Lbs6 ft3NoNoTrade2026-01-30NoNo22024-06-24FalseFalsePro & Farm975,000$19,898$0$0$No975,000$--------975,000$--------No--------Lien
Kevin MandoleseWranglers (CGY)G252000-08-22CANNo207 Lbs6 ft5NoNoFree AgentNoNo22024-08-08FalseFalsePro & Farm775,000$15,816$0$0$No775,000$--------750,000$--------No--------Lien
Linus KarlssonWranglers (CGY)RW261999-11-16SWEYes178 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-07FalseFalsePro & Farm925,000$18,878$0$0$No925,000$--------925,000$--------No--------Lien
Mike HardmanWranglers (CGY)LW/RW271999-02-05USANo205 Lbs6 ft2NoNoFree AgentNoNo32025-08-15FalseFalsePro & Farm850,000$17,347$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$36,735$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 AgentNoNo12025-09-05FalseFalsePro & Farm775,000$15,816$0$0$No---------------------------Lien / Lien NHL
Sean FarrellWranglers (CGY)C/LW242001-11-02USAYes175 Lbs5 ft9NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm775,000$15,816$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Tye KartyeWranglers (CGY)C/LW252001-04-30CANNo202 Lbs5 ft11NoNoAssign ManuallyNoNo1FalseFalsePro & Farm925,000$18,878$0$0$No---------------------------Lien
Wyatt KaiserWranglers (CGY)D232002-07-31USANo173 Lbs6 ft0NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm1,208,333$24,660$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$26,037$0$0$No1,275,833$--------1,275,833$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.68192 Lbs6 ft11.951,052,765$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack BolducAlex NewhookNicholas Robertson40122
2Mike HardmanTye Kartye30122
3David GustafssonSean FarrellLinus Karlsson20122
4Brandon BiroBenoit-Olivier GroulxZack Bolduc10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserDrew Helleson40122
2Kaedan Korczak30122
3Blake HillmanDaniil Misyul20122
4Wyatt KaiserDrew Helleson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zack BolducAlex NewhookNicholas Robertson60122
2Mike HardmanTye Kartye40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserDrew Helleson60122
2Kaedan Korczak40122
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 Korczak40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zack Bolduc60122Wyatt KaiserDrew Helleson60122
2Alex Newhook40122Kaedan Korczak40122
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 Korczak40122
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 : Kevin Mandolese
Lignes d’attaque personnalisées en prolongation
Zack Bolduc, Alex Newhook, Nicholas Robertson, Tye Kartye, Mike Hardman, Sean Farrell, David Gustafsson, , Benoit-Olivier Groulx, Linus Karlsson
Lignes de défense personnalisées en prolongation
Wyatt Kaiser, Drew Helleson, Kaedan Korczak, , 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 Americans74300000171613210000086242200000910-180.571172946002119184130146187133271354113313250714.00%54394.44%035372248.89%31569145.59%21138654.66%623423632196324162
2Eagles6420000014104321000008533210000065180.66714253902211918411814618713327101219411843511.63%33293.94%035372248.89%31569145.59%21138654.66%623423632196324162
3Monsters63300000171523210000076131200000109160.50017314800211918412514618713327133458210136616.67%39587.18%035372248.89%31569145.59%21138654.66%623423632196324162
4Wild6420000014131321000007613210000077080.66714203400211918412014618713327109308512126311.54%32196.88%035372248.89%31569145.59%21138654.66%623423632196324162
Total25151000000625481284000003023713760000032311300.60062105167022119184493146187133274781373944721552113.55%1581193.04%035372248.89%31569145.59%21138654.66%623423632196324162
_Since Last GM Reset25151000000625481284000003023713760000032311300.60062105167022119184493146187133274781373944721552113.55%1581193.04%035372248.89%31569145.59%21138654.66%623423632196324162
_Vs Conference191270000045396963000002317610640000022220240.632457411902211918436814618713327345923123711191512.61%119694.96%035372248.89%31569145.59%21138654.66%623423632196324162

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2530W16210516749347813739447202
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
25151000006254
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
128400003023
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
137600003231
Derniers 10 matchs
WLOTWOTL SOWSOL
333100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1552113.55%1581193.04%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
146187133272119184
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
35372248.89%31569145.59%21138654.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
623423632196324162


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
28Wranglers1 Americans2LXSommaire du match
416Wranglers2 Americans1WSommaire du match
624 Americans1Wranglers3WSommaire du match
832 Americans1Wranglers2WSommaire du match
1040Wranglers3 Americans5LSommaire du match
1248 Americans4Wranglers3LSommaire du match
1456Wranglers3 Americans2WSommaire du match
1660Wranglers1Eagles0WSommaire du match
1864Wranglers0Eagles3LSommaire du match
2068Eagles4Wranglers3LXSommaire du match
2272Eagles1Wranglers2WSommaire du match
2476Wranglers5Eagles2WSommaire du match
2680Eagles0Wranglers3WSommaire du match
3086Wranglers1Wild3LSommaire du match
3288Wranglers3Wild2WXSommaire du match
3490Wild3Wranglers2LSommaire du match
3692Wild1Wranglers2WSommaire du match
3894Wranglers3Wild2WXSommaire du match
4096Wild2Wranglers3WXSommaire du match
4399Monsters2Wranglers3WXSommaire du match
44100Monsters2Wranglers3WSommaire du match
45101Wranglers2Monsters4LSommaire du match
46102Wranglers3Monsters4LSommaire du match
47103Monsters2Wranglers1LXSommaire du match
48104Wranglers5Monsters1WSommaire du match
49105Monsters-Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1000
Assistance17,13011,955
Assistance PCT71.38%99.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 2424 - 80.79% 142,750$1,713,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 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
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 0$ 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
2025251510000006254812840000030237137600000323113062105167022119184493146187133274781373944721552113.55%1581193.04%035372248.89%31569145.59%21138654.66%623423632196324162
Total Séries éliminatoires251510000006254812840000030237137600000323113062105167022119184493146187133274781373944721552113.55%1581193.04%035372248.89%31569145.59%21138654.66%623423632196324162

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
1Mike Hardman2510717-5415296016.67%145418.194592200000234.62%00.7500
2Zack Bolduc251251762642586717.91%458223.313361700021239.48%00.5800
3Alex Newhook25411154122655449.09%251420.582462300041158.35%00.5800
4David Gustafsson2541014-589413710.81%636114.46000200001057.14%00.7700
5Kaedan Korczak25491325690202317.39%1855222.11325170000110%00.4700

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 Johansson2515730.8882.031565225347400000
2Kevin Mandolese10000.7505.0012001400000