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Manitoba Trappers
GP: 14 | W: 7 | L: 7
GF: 34 | GA: 37 | PP%: 15.15% | PK%: 85.19%
DG: Anthony Collin | Morale : 90 | Moyenne d’équipe : N/A
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Centre de jeu
Ontario Wave
9-5-0, 18pts
2
FINAL
4 Manitoba Trappers
7-7-0, 14pts
Team Stats
W2SéquenceL1
6-2-0Fiche domicile3-3-0
3-3-0Fiche domicile4-4-0
6-3-1Derniers 10 matchs4-5-1
3.50Buts par match 2.43
2.86Buts contre par match 2.64
13.04%Pourcentage en avantage numérique15.15%
83.33%Pourcentage en désavantage numérique85.19%
Manitoba Trappers
7-7-0, 14pts
4
FINAL
6 Ontario Wave
9-5-0, 18pts
Team Stats
L1SéquenceW2
3-3-0Fiche domicile6-2-0
4-4-0Fiche domicile3-3-0
4-5-1Derniers 10 matchs6-3-1
2.43Buts par match 3.50
2.64Buts contre par match 2.86
15.15%Pourcentage en avantage numérique13.04%
85.19%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Cole KoepkeButs
Cole Koepke
6
Cole KoepkePasses
Cole Koepke
9
Cole KoepkePoints
Cole Koepke
15
Spencer StastneyPlus/Moins
Spencer Stastney
4
Talyn BoykoVictoires
Talyn Boyko
7
Talyn BoykoPourcentage d’arrêts
Talyn Boyko
0.893

Statistiques d’équipe
Buts pour
34
2.43 GFG
Tirs pour
353
25.21 Avg
Pourcentage en avantage numérique
15.2%
5 GF
Début de zone offensive
40.4%
Buts contre
37
2.64 GAA
Tirs contre
338
24.14 Avg
Pourcentage en désavantage numérique
85.2%%
4 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralAnthony Collin
EntraîneurRyan Craig
DivisionPacific
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure23
Limite contact 56 / 70
Espoirs28


Historique d'équipe

Saison actuelle7-7
Historique223-214-55 (0.442%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)12-14
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
1Cole Koepke39XXX100.00746080837790907570727377757272090002731,000,000$
2Jake Leschyshyn53XXX100.0075468074738792707872717670717109000271775,000$
3Jagger Firkus (R)27XXX100.006766827571789746670707272686809000212891,666$
4Jonas Rondbjerg57XXX100.0070359376788489737072717569717109000261775,000$
5Matyas Sapovaliv (R)24XXX100.0070608274767879697268687367686809000222803,334$
6Riley Kidney (R)71XXX100.0072568376688080707368686868686809000231836,667$
7Ty Voit (R)49XXX100.0072568373737979686668686868686809000221800,556$
8Stephen Halliday (R)83XXX100.0070578274747879707270707170686809000233950,000$
9Olivier Nadeau (R)45XXX100.0070578274737879676667676867686809000231836,667$
10Samu Tuomaala (R)46XXX100.0067568074737979706670707170686809000231830,833$
11Maxim Groshev (R)95XXX100.0066578375717879686668686867686809000241867,500$
12Filip Bystedt (R)97XXX100.0066568575748080727370707468686809000221950,000$
13Adam Engstrom (R)84X100.0070658373737878675067637260686809000222896,667$
14Spencer Stastney81X100.0073578478748079725070667860727209000261825,000$
15Jeremie Poirier73X100.0067598075747878735067637566707009000231775,000$
16Topi Niemela (R)48X100.0067508477687978675067627460686809000241775,000$
17Mike Benning (R)5X100.0072568273737978725067637360686809000241775,000$
18Isaac Belliveau (R)78X100.0070568073738079665067637350707009000231875,000$
Rayé
1Jakub Lauko74XXX100.00685667776878796876717173737272090002600$
2Jesse Ylonen56XXX100.00713595767480797370737276727171090002600$
3Axel Jonsson-Fjallby61XXX100.00663590727083886766686868687070090002800$
4Jack Finley (R)64XXX100.0075608273778080707470707271686809000233775,000$
5Xavier Simoneau (R)43XXX100.00675585766878787272686868666868090002400$
6Jakub Brabenec (R)12XXX100.0068608073737979687268686868686809000221828,333$
7Ryder Korczak (R)38XXX100.00725683776879807274707073726868090002300$
8Gavin Brindley (R)54XXX100.0072608379688080757270707370707009000213950,000$
9Reilly Walsh58X100.0074388773737984663070637748707009000261775,000$
10Ole Julian Bjorgvik-Holm (R)47X100.0070568373737879685067627562686809000231775,000$
11Zac Jones7X100.0072359480738180763073687952727209000251900,000$
12Ryan Johnson33X100.0073608376758080745072658060727209000243775,000$
MOYENNE D’ÉQUIPE100.007054837573807870626968736669690900
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
1Yaniv Perets (R)60100.007685858176767676767676717109000261775,000$
2Talyn Boyko (R)70100.007485858774747474747474727209000231775,000$
Rayé
1Olivier Rodrigue36100.007985858079797979797979737309000251775,000$
MOYENNE D’ÉQUIPE100.00768585837676767676767672720900
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Craig68747369595586CAN4331,000,000$


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
1Cole KoepkeManitoba Trappers (WPG)C/LW/RW146915240293343223013.95%332223.070223310000270049.10%38700100.9300000220
2Jake LeschyshynManitoba Trappers (WPG)C/LW/RW144913260231339123210.26%232022.871016320001242068.75%1600000.8100000302
3Jonas RondbjergManitoba Trappers (WPG)C/LW/RW145813220112136133613.89%330621.861014320000112048.28%2900000.8500000020
4Spencer StastneyManitoba Trappers (WPG)D143474403614174617.65%2333023.60022732000020000%000000.4200000001
5Jeremie PoirierManitoba Trappers (WPG)D141564404591061310.00%1532923.56101332000020010%000000.3600000001
6Filip BystedtManitoba Trappers (WPG)C/LW/RW142460201135463224.35%425918.521127290000110054.48%26800000.4600000000
7Isaac BelliveauManitoba Trappers (WPG)D14156-4120221211389.09%1429320.94101727000019000%000000.4100000010
8Matyas SapovalivManitoba Trappers (WPG)C/LW/RW14145-10011221611146.25%316812.0000002000001058.33%15600000.6000000100
9Riley KidneyManitoba Trappers (WPG)C/LW/RW14145040189194175.26%124617.57011529000000052.63%1900000.4100000000
10Stephen HallidayManitoba Trappers (WPG)C/LW/RW142350201919226219.09%324617.59011528000000055.56%1800000.4100000000
11Topi NiemelaManitoba Trappers (WPG)D14134-420191293611.11%1029621.17011127000022000%000000.2700000000
12Samu TuomaalaManitoba Trappers (WPG)C/LW/RW14134-120109228154.55%116411.7700002000001038.46%1300000.4900000011
13Jagger FirkusManitoba Trappers (WPG)C/LW/RW14202-500971931210.53%01037.3600002000060066.67%900000.3900000000
14Ty VoitManitoba Trappers (WPG)C/LW/RW14202-10058203810.00%017112.2800000000090033.33%1200000.2300000000
15Mike BenningManitoba Trappers (WPG)D14112-4100171244425.00%921815.600000300000100%000000.1800000001
16Olivier NadeauManitoba Trappers (WPG)C/LW/RW14022-520459380%1936.6500000000000054.44%9000000.4300000000
17Adam EngstromManitoba Trappers (WPG)D14101-460141472314.29%722416.040001300008000%000000.0900000000
18Maxim GroshevManitoba Trappers (WPG)C/LW/RW14011-500234490%0936.6500000000000033.33%900000.2100000000
Statistiques d’équipe totales ou en moyenne252346599-206203052573531142649.63%99418716.6258134931700011837152.53%102600100.4700000666
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
1Talyn BoykoManitoba Trappers (WPG)147610.8932.56845023633700100140210
Statistiques d’équipe totales ou en moyenne147610.8932.5684502363370010140210


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam EngstromManitoba Trappers (WPG)D222003-11-17SWEYes190 Lbs6 ft2NoNoProspectNoNo22024-09-17FalseFalsePro & Farm896,667$0$0$No896,667$--------896,667$--------No--------Lien NHL
Axel Jonsson-FjallbyManitoba Trappers (WPG)C/LW/RW281998-02-10SWENo170 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Cole KoepkeManitoba Trappers (WPG)C/LW/RW271998-04-29USANo195 Lbs6 ft1NoNoN/ANoNo32026-04-19FalseFalsePro & Farm1,000,000$0$0$No1,450,000$1,450,000$-------1,450,000$1,450,000$-------NoNo-------Lien NHL
Filip BystedtManitoba Trappers (WPG)C/LW/RW222004-02-04SWEYes204 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien NHL
Gavin BrindleyManitoba Trappers (WPG)C/LW/RW212004-10-05USAYes175 Lbs5 ft9NoNoN/ANoNo32025-11-13FalseFalsePro & Farm950,000$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Lien NHL
Isaac BelliveauManitoba Trappers (WPG)D232002-11-26CANYes185 Lbs6 ft2NoNoProspectNoNo12024-10-15FalseFalsePro & Farm875,000$0$0$No---------------------------Lien NHL
Jack FinleyManitoba Trappers (WPG)C/LW/RW232002-09-02USAYes213 Lbs6 ft6NoNoN/ANoNo32025-06-09FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Jagger FirkusManitoba Trappers (WPG)C/LW/RW212004-04-29USAYes170 Lbs5 ft11NoNoProspectNoNo22024-09-17FalseFalsePro & Farm891,666$0$0$No891,666$--------891,666$--------No--------Lien NHL
Jake LeschyshynManitoba Trappers (WPG)C/LW/RW271999-03-10USANo185 Lbs5 ft11NoNoN/ANoNo12025-07-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Jakub BrabenecManitoba Trappers (WPG)C/LW/RW222003-09-11CZEYes174 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm828,333$0$0$No---------------------------Lien NHL
Jakub LaukoManitoba Trappers (WPG)C/LW/RW262000-03-28CZENo169 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Jeremie PoirierManitoba Trappers (WPG)D232002-06-02CANNo196 Lbs6 ft1NoNoTrade2025-07-02NoNo12025-07-18FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Jesse YlonenManitoba Trappers (WPG)C/LW/RW261999-10-03FINNo167 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Jonas RondbjergManitoba Trappers (WPG)C/LW/RW261999-03-31DNKNo187 Lbs6 ft2NoNoN/ANoNo12025-07-07FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Matyas SapovalivManitoba Trappers (WPG)C/LW/RW222004-02-12CZEYes194 Lbs6 ft4NoNoProspectNoNo22024-09-17FalseFalsePro & Farm803,334$0$0$No803,334$--------803,334$--------No--------
Maxim GroshevManitoba Trappers (WPG)C/LW/RW242001-12-14RUSYes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm867,500$0$0$No---------------------------Lien NHL
Mike BenningManitoba Trappers (WPG)D242002-01-05CANYes177 Lbs5 ft9NoNoN/ANoNo12025-08-15FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Ole Julian Bjorgvik-HolmManitoba Trappers (WPG)D232002-05-23NORYes190 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Olivier NadeauManitoba Trappers (WPG)C/LW/RW232003-01-15CANYes204 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm836,667$0$0$No---------------------------Lien NHL
Olivier RodrigueManitoba Trappers (WPG)G252000-07-06CANNo158 Lbs6 ft1NoNoN/ANoNo12026-02-26FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Reilly WalshManitoba Trappers (WPG)D261999-04-21USANo181 Lbs5 ft11NoNoN/ANoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Riley KidneyManitoba Trappers (WPG)C/LW/RW232003-03-25CANYes175 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm836,667$0$0$No---------------------------Lien NHL
Ryan JohnsonManitoba Trappers (WPG)D242001-07-24USANo170 Lbs6 ft0NoNoN/ANoNo32026-03-12FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Ryder KorczakManitoba Trappers (WPG)C/LW/RW232002-09-23CANYes174 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Samu TuomaalaManitoba Trappers (WPG)C/LW/RW232003-01-08FINYes174 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm830,833$0$0$No---------------------------Lien NHL
Spencer StastneyManitoba Trappers (WPG)D262000-01-04USANo180 Lbs5 ft10NoNoN/ANoNo12024-07-26FalseFalsePro & Farm825,000$0$0$No---------------------------Lien NHL
Stephen HallidayManitoba Trappers (WPG)C/LW/RW232002-07-02CANYes213 Lbs6 ft3NoNoN/ANoNo32026-05-07FalseFalsePro & Farm950,000$0$0$No1,075,000$1,075,000$-------1,075,000$1,075,000$-------NoNo-------Lien NHL
Talyn BoykoManitoba Trappers (WPG)G232002-10-16CANYes208 Lbs6 ft7NoNoN/ANoNo12025-08-18FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Topi NiemelaManitoba Trappers (WPG)D242002-03-25FINYes170 Lbs5 ft11NoNoN/ANoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Ty VoitManitoba Trappers (WPG)C/LW/RW222003-06-10USAYes171 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,556$0$0$No---------------------------Lien NHL
Xavier SimoneauManitoba Trappers (WPG)C/LW/RW242001-05-19CANYes169 Lbs5 ft6NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Yaniv PeretsManitoba Trappers (WPG)G262000-03-04CANYes180 Lbs6 ft1NoNoN/ANoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Zac JonesManitoba Trappers (WPG)D252000-10-18USANo185 Lbs5 ft11NoNoN/ANoNo12025-07-02FalseFalsePro & Farm900,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3323.94183 Lbs6 ft11.24707,340$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake LeschyshynCole KoepkeJonas Rondbjerg40122
2Stephen HallidayFilip BystedtRiley Kidney30122
3Samu TuomaalaMatyas SapovalivTy Voit20122
4Maxim GroshevOlivier NadeauJagger Firkus10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyJeremie Poirier40122
2Isaac BelliveauTopi Niemela30122
3Mike BenningAdam Engstrom20122
4Spencer StastneyJeremie Poirier10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake LeschyshynCole KoepkeJonas Rondbjerg60122
2Stephen HallidayFilip BystedtRiley Kidney40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyJeremie Poirier60122
2Isaac BelliveauTopi Niemela40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole KoepkeJake Leschyshyn60122
2Jonas RondbjergFilip Bystedt40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyJeremie Poirier60122
2Isaac BelliveauTopi Niemela40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Koepke60122Spencer StastneyJeremie Poirier60122
2Jake Leschyshyn40122Isaac BelliveauTopi Niemela40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole KoepkeJake Leschyshyn60122
2Jonas RondbjergFilip Bystedt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyJeremie Poirier60122
2Isaac BelliveauTopi Niemela40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake LeschyshynCole KoepkeJonas RondbjergSpencer StastneyJeremie Poirier
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jake LeschyshynCole KoepkeJonas RondbjergSpencer StastneyJeremie Poirier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matyas Sapovaliv, Samu Tuomaala, Ty VoitMatyas Sapovaliv, Samu TuomaalaTy Voit
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Benning, Adam Engstrom, Isaac BelliveauMike BenningAdam Engstrom, Isaac Belliveau
Tirs de pénalité
Cole Koepke, Jake Leschyshyn, Jonas Rondbjerg, Filip Bystedt, Stephen Halliday
Gardien
#1 : Talyn Boyko, #2 : Yaniv Perets
Lignes d’attaque personnalisées en prolongation
Cole Koepke, Jake Leschyshyn, Jonas Rondbjerg, Filip Bystedt, Stephen Halliday, Riley Kidney, Riley Kidney, Matyas Sapovaliv, Samu Tuomaala, Ty Voit, Olivier Nadeau
Lignes de défense personnalisées en prolongation
Spencer Stastney, Jeremie Poirier, Isaac Belliveau, Topi Niemela, Mike Benning


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
1Ontario Wave734000002023-331200000990422000001114-360.429203959101561211941301141054160432616118211.11%110100.00%022441553.98%20939652.78%10621549.30%33523632810118391
2St. Louis Steel743000001414032100000431422000001011-180.571142640021561211591301141054178563614415320.00%16475.00%022441553.98%20939652.78%10621549.30%33523632810118391
Total1477000003437-36330000013121844000002125-4140.500346599121561213531301141054338996230533515.15%27485.19%022441553.98%20939652.78%10621549.30%33523632810118391
_Since Last GM Reset1477000003437-36330000013121844000002125-4140.500346599121561213531301141054338996230533515.15%27485.19%022441553.98%20939652.78%10621549.30%33523632810118391
_Vs Conference1477000003437-36330000013121844000002125-4140.500346599121561213531301141054338996230533515.15%27485.19%022441553.98%20939652.78%10621549.30%33523632810118391
_Vs Division734000002023-331200000990422000001114-360.429203959101561211941301141054160432616118211.11%110100.00%022441553.98%20939652.78%10621549.30%33523632810118391

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1414L1346599353338996230512
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
147700003437
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300001312
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
84400002125
Derniers 10 matchs
WLOTWOTL SOWSOL
351100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
33515.15%27485.19%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
1301141054156121
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
22441553.98%20939652.78%10621549.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
33523632810118391


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
25Manitoba Trappers3St. Louis Steel1WSommaire du match
413Manitoba Trappers2St. Louis Steel5LSommaire du match
621St. Louis Steel0Manitoba Trappers1WSommaire du match
829St. Louis Steel0Manitoba Trappers2WSommaire du match
1037Manitoba Trappers2St. Louis Steel4LSommaire du match
1245St. Louis Steel3Manitoba Trappers1LSommaire du match
1453Manitoba Trappers3St. Louis Steel1WSommaire du match
1659Manitoba Trappers1Ontario Wave5LSommaire du match
1863Manitoba Trappers2Ontario Wave1WXSommaire du match
2067Ontario Wave3Manitoba Trappers2LSommaire du match
2271Ontario Wave4Manitoba Trappers3LXSommaire du match
2475Manitoba Trappers4Ontario Wave2WSommaire du match
2679Ontario Wave2Manitoba Trappers4WSommaire du match
2883Manitoba Trappers4Ontario Wave6LSommaire du match



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
77 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,334,223$ 2,334,223$ 1,000,000$0$
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$ 11 0$ 0$




Manitoba Trappers 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
1Cole Koepke8012844477314728212392403239911.84%1701837422.9452112164313841242601350.65%80.80860
2Spencer Stastney747116431547-17418133992085913.50%10111762123.596570135454044131580%00.6200
3Jake Leschyshyn799226308534432541377993195511.56%2021750321.9130528223840419461348.62%40.61860
4Filip Bystedt828163317480-8130465162719288.45%1321509818.2329711003231234351252.11%00.64016
5Stephen Halliday828170221391-4018886093417429.76%1031366016.501949681930000122149.89%00.5704

Manitoba Trappers 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
1Talyn Boyko589284246590.8842.9435336302117321494309150.644180
2Olivier Rodrigue239103109260.8922.8714376251468863910110.71428
3Yaniv Perets180100.9421.38434001017100000

Manitoba Trappers 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
202416454821351000433502-6982264073600217243-2682284262400216259-4314143377312064715013614254247137913911423544401130388829993676317.17%3938279.13%42469488350.56%2496499150.01%1304254951.16%388726983935118621091044
202516666660136312491498-783293506427247264-1783373107215244234101824918771368371621581552143161391139614581234280123578031664027518.66%3557279.72%32558500151.15%2577494252.14%1257259248.50%399527993933119021451073
202516666660136312491498-783293506427247264-1783373107215244234101824918771368371621581552143161391139614581234280123578031664027518.66%3557279.72%32558500151.15%2577494252.14%1257259248.50%399527993933119021451073
Total Saison régulière49618621413312262414151498-832488411071514414711771-602481021046168210704727-235051415252739421021474452452471287941614183433930012961377324489331117121318.19%110322679.51%1075851488550.96%76501487551.43%3818773349.37%11877829811802356764013191
Séries éliminatoires
202312570000038353514000001820-2743000002015510386610401121412032710297113153091013825420210.00%19289.47%020538353.52%21037156.60%10719455.15%2992082918816382
20251477000003437-36330000013121844000002125-414346599121561213531301141054338996230533515.15%27485.19%022441553.98%20939652.78%10621549.30%33523632810118391
Total Séries éliminatoires26121400000727201147000003132-11587000004140124721312031327202416802322112181964720010055953713.21%46686.96%042979853.76%41976754.63%21340952.08%635444620189347173

Manitoba Trappers 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
1Jake Leschyshyn2691120-4846566414.06%760523.27123800013055.92%00.6600
2Jonas Rondbjerg2651318-421748697.25%557522.13112800002047.27%00.6300
3Cole Koepke2661016-484750659.23%560623.34022700000049.50%00.5300
4Filip Bystedt2651015342154786.41%547518.271121000000054.77%00.6300
5Riley Kidney2676135430132924.14%333712.99011500001052.00%00.7700

Manitoba Trappers 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
1Talyn Boyko147610.8932.56845023633700100
2Yaniv Perets125520.8872.80751013530900000