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Wranglers
GP: 72 | W: 36 | L: 26 | OTL: 10 | P: 82
GF: 238 | GA: 232 | PP%: 20.76% | PK%: 81.12%
DG: Guy Brisson | Morale : 49 | Moyenne d’équipe : 63
Prochains matchs #1162 vs Griffins
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Centre de jeu
Wranglers
36-26-10, 82pts
5
FINAL
6 Iowa Wild
38-25-9, 85pts
Team Stats
L1SéquenceSOW1
21-12-4Fiche domicile22-10-4
15-14-6Fiche domicile16-15-5
5-4-1Derniers 10 matchs7-2-1
3.31Buts par match 3.50
3.22Buts contre par match 3.15
20.76%Pourcentage en avantage numérique22.83%
81.12%Pourcentage en désavantage numérique82.35%
Roadrunners
39-26-9, 87pts
2
FINAL
1 Wranglers
36-26-10, 82pts
Team Stats
W3SéquenceL1
22-12-2Fiche domicile21-12-4
17-14-7Fiche domicile15-14-6
6-4-0Derniers 10 matchs5-4-1
3.24Buts par match 3.31
2.93Buts contre par match 3.22
22.47%Pourcentage en avantage numérique20.76%
78.47%Pourcentage en désavantage numérique81.12%
Wranglers
36-26-10, 82pts
2025-02-12
Griffins
46-19-6, 98pts
Statistiques d’équipe
L1SéquenceW3
21-12-4Fiche domicile26-7-3
15-14-6Fiche visiteur20-12-3
5-4-110 derniers matchs6-3-1
3.31Buts par match 3.49
3.22Buts contre par match 3.49
20.76%Pourcentage en avantage numérique19.07%
81.12%Pourcentage en désavantage numérique73.33%
SenatorsF
34-32-6, 74pts
2025-02-15
Wranglers
36-26-10, 82pts
Statistiques d’équipe
L3SéquenceL1
20-12-4Fiche domicile21-12-4
14-20-2Fiche visiteur15-14-6
0-9-110 derniers matchs5-4-1
3.22Buts par match 3.31
3.51Buts contre par match 3.31
19.13%Pourcentage en avantage numérique20.76%
73.42%Pourcentage en désavantage numérique81.12%
Wolves
31-33-6, 68pts
2025-02-20
Wranglers
36-26-10, 82pts
Statistiques d’équipe
W1SéquenceL1
17-17-3Fiche domicile21-12-4
14-16-3Fiche visiteur15-14-6
3-7-010 derniers matchs5-4-1
2.91Buts par match 3.31
3.39Buts contre par match 3.31
20.29%Pourcentage en avantage numérique20.76%
78.23%Pourcentage en désavantage numérique81.12%
Meneurs d'équipe
Buts
Rasmus Asplund
28
Passes
Rasmus Asplund
31
Points
Rasmus Asplund
59
Plus/Moins
Maksim Sushko
19
Victoires
Calvin Petersen
28
Pourcentage d’arrêts
Calvin Petersen
0.898

Statistiques d’équipe
Buts pour
238
3.31 GFG
Tirs pour
2227
30.93 Avg
Pourcentage en avantage numérique
20.8%
49 GF
Début de zone offensive
41.3%
Buts contre
232
3.22 GAA
Tirs contre
2161
30.01 Avg
Pourcentage en désavantage numérique
81.1%%
44 GA
Début de la zone défensive
39.5%
Informations de l'équipe

Directeur généralGuy Brisson
EntraîneurBrent Sutter
DivisionDivision Nord-Ouest
ConférenceConference 2
CapitaineRasmus Asplund
Assistant #1Carl Grundstrom
Assistant #2Adam Gaudette


Informations de l’aréna

Capacité3,000
Assistance2,280
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure19
Limite contact 52 / 56
Espoirs24


Historique d'équipe

Saison actuelle36-26-10 (82PTS)
Historique72-66-11 (0.483%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
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
1Adam Gaudette (A)XX100.0063548477717688717174727470735461636702811,800,000$
2Rasmus Asplund (C)XX100.0062459579707277747071747168645364716702722,000,000$
3Alan QuineX100.0059409672736985697469707765695549676603112,000,000$
4Maksim SushkoXX100.006445927471737473687169726454506667650261750,000$
5Otto MakinenX100.006345917268747472726869716351486049640261750,000$
6Liam O'BrienX100.0087455673736873716769677063544756756303011,000,000$
7Chris BrownXX100.006446947074808069616567696548454272630342850,000$
8Kristopher FoucaultXX100.007056826872707768636667666448464259620341800,000$
9Fredrik ForsbergXX100.006150887670727066626163696057506018620281800,000$
10Alex BelzileXXX100.006450827171707068576765685556514642620332900,000$
11Brandon McmillanXXX100.006145916969737566706363696261493820620341800,000$
12Eetu TuulolaXX100.007457667073677368666767656050466052620261750,000$
13Matt BenningX100.00714588737176907145686576607456554667X03012,000,000$
14Markus NutivaaraX100.0060429470727589734575726960795450456603013,500,000$
15Austin StrandX99.0070458473767574734566647456544664376502721,300,000$
16Jake WalmanX100.0067458072687476724572706960584854386402811,100,000$
17Adam Ginning (R)X100.006955757271757568456766765948457024640253750,000$
Rayé
1Carl Grundstrom (A)XX99.9375459075737887726672726971604964526702722,000,000$
2Tanner FritzXX100.006045977070716769626469736650464719620331800,000$
3Yannick VeilleuxXX100.0062499070737067706165646960454550196103121,000,000$
4Tye McGinnXX100.005945967073676668616364706355474220610341800,000$
5Sergey AndronovX100.005943977073706967666465686347453820610351800,000$
6Samuel MorinX86.9273528372737163764566667454584756416502921,300,000$
7Oliver KylingtonX98.4264458875717473694569647060644764466502721,300,000$
8Joe MorrowX100.0063489470727570694566676965594850476403221,650,000$
9Julian MelchioriX100.0060459770748080694566656963494546186403321,000,000$
10Andrew WelinskiX100.006044946974717368456767676453455019630311900,000$
11Joseph CecconiX100.006845847072726862456364655649466019610272700,000$
12Joni TuulolaX100.006347907071736756456258665749465419600291500,000$
MOYENNE D’ÉQUIPE99.38654788727273756957676770625648544164
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
1Laurent Brossoit100.00695050807074827879827265665039630311800,000$
2Charlie Lindgren100.00695050767072807677807162645330610312700,000$
Rayé
1Calvin Petersen96.008079777781758177788187616356746503032,000,000$
2Criss de peewee100.005050505050505050505050505050234301111,000,000$
MOYENNE D’ÉQUIPE99.0067575771686873707173706061524258
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brent Sutter77806564999942CAN614100,000$


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
1Rasmus AsplundWranglers (Cal)LW/RW72283159814053712286616612.28%12117916.393131637185000054054.22%8300011.0026000453
2Liam O'BrienWranglers (Cal)C72242650-7680169871923511112.50%9115316.02671331176000093247.91%148600000.8709000532
3Ryan MacinnisFlamesC70203050-860331221593610412.58%9115116.458122041203000024350.74%148600000.8735000134
4Adam GaudetteWranglers (Cal)LW/RW64183048-71006273183451679.84%17117018.2921012291750003693051.94%12900000.8227000202
5Maksim SushkoWranglers (Cal)LW/RW72172744192407085189451228.99%14131618.291782917801191762152.94%11900000.6711000242
6Carl GrundstromWranglers (Cal)LW/RW63172441-428010156176481099.66%11104416.58581342182101121153.16%7900000.7934000232
7Samuel MorinWranglers (Cal)D53830389415634574244410.81%64106020.014711361170001116210%000000.7200001121
8Alan QuineWranglers (Cal)C711522371610043139130458711.54%21111315.680000010171761157.05%146200000.6611000313
9Chris BrownWranglers (Cal)LW/RW72131932-900452106228312.26%997613.5610147000001253.09%8100000.6601000111
10Jake WalmanWranglers (Cal)D5091928-10340692661173714.75%52106921.397512261340001107020%000000.5200000111
11Oliver KylingtonWranglers (Cal)D6942428936075536130436.56%74141420.49268231470002133020%000000.4000000111
12Adam GinningWranglers (Cal)D4532225-235576293716258.11%4583318.53123643000050200%000000.6000001210
13Markus NutivaaraWranglers (Cal)D49815232160353756154014.29%54101520.7343727122011072210%000000.4500000022
14Alex BelzileWranglers (Cal)C/LW/RW64129210215386795246512.63%1381112.680000200061752042.96%98000000.5200100221
15Austin StrandWranglers (Cal)D5631619-240053425717455.26%60114720.4913417117000082200%000000.3300000000
16Kristopher FoucaultWranglers (Cal)LW/RW6821618-3321045388836782.27%970110.31000120001371035.53%7600000.5101011010
17Joe MorrowWranglers (Cal)D5141418-1160432930152713.33%71100019.630003270000103110%000000.3600000002
18Eetu TuulolaWranglers (Cal)LW/RW537714033552247121589.86%361711.66101421000000140.43%4700000.4513010011
19Arber XhekajFlamesD17167-6255339127158.33%1435821.09123652000042100%000000.3900010001
20Julian MelchioriWranglers (Cal)D28055-110016218070%3851518.4100003000048000%000000.1900000000
21Brandon McmillanWranglers (Cal)C/LW/RW301343401210198235.26%22648.8100000000000042.11%1900000.3000000000
22Joseph CecconiWranglers (Cal)D70445801345130%911516.460000000000000%000000.6900000010
23Fredrik ForsbergWranglers (Cal)LW/RW30123-9004813587.69%11715.7100011000000054.55%1100000.3500000000
24Matt BenningWranglers (Cal)D6033-1801048050%612821.37011211000014000%000000.4700000010
25Sergey AndronovWranglers (Cal)C7202-100010143814.29%08111.6300000000060044.94%8900000.4900000000
26Michael BuntingFlamesLW/RW4011-100737050%25614.0300011000000025.00%800000.3600000000
27Otto MakinenWranglers (Cal)C2000000216130%03316.7800004000000051.35%370000001000000
28Andrew WelinskiWranglers (Cal)D1000100100010%21616.870000000000000%00000000000000
29Tanner FritzWranglers (Cal)LW/RW1000000014010%099.9700000000000066.67%90000000000000
Statistiques d’équipe totales ou en moyenne1247217405622051935118211462089582149010.39%6212052916.4647861333661919224311435321850.12%620100010.611339133273329
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
1Calvin PetersenWranglers (Cal)59281990.8982.9533216316316020120.615265318522
2Laurent BrossoitWranglers (Cal)165510.8883.7275900474210000.50081332100
3Charlie LindgrenWranglers (Cal)42200.8892.9022800119901000415000
4Criss de peeweeWranglers (Cal)21000.8923.5867004370001.000427000
Statistiques d’équipe totales ou en moyenne813626100.8963.094376632252159022387272622


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 GaudetteWranglers (Cal)LW/RW281996-10-03USANo170 Lbs6 ft2NoNoN/ANoNo12024-05-29FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Adam GinningWranglers (Cal)D252000-01-13SWEYes196 Lbs6 ft3NoNoProspectNoNo32024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Alan QuineWranglers (Cal)C311993-02-25CANNo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Alex BelzileWranglers (Cal)C/LW/RW331991-08-31CANNo195 Lbs6 ft0NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Andrew WelinskiWranglers (Cal)D311993-04-27USANo212 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Austin StrandWranglers (Cal)D271997-04-17CANNo216 Lbs6 ft4NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Brandon McmillanWranglers (Cal)C/LW/RW341990-03-22CANNo189 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Calvin PetersenWranglers (Cal)G301994-10-19USANo185 Lbs6 ft2NoNoFree AgentNoNo32024-07-07FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Carl GrundstromWranglers (Cal)LW/RW271997-12-01SWENo201 Lbs6 ft0NoNoN/ANoNo22024-05-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Charlie LindgrenWranglers (Cal)G311993-12-18USANo179 Lbs6 ft2NoNoFree AgentNoNo22024-08-20FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Chris BrownWranglers (Cal)LW/RW341991-02-03USANo213 Lbs6 ft2NoNoFree AgentNoNo22024-08-20FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Criss de peeweeWranglers (Cal)G112013-10-05SWENo150 Lbs5 ft10NoNoFree AgentNoNo12024-10-04FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Eetu TuulolaWranglers (Cal)LW/RW261998-03-17FINNo225 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Fredrik ForsbergWranglers (Cal)LW/RW281996-12-12SWENo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Jake WalmanWranglers (Cal)D281996-02-20CANNo170 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Joe MorrowWranglers (Cal)D321992-12-09CANNo207 Lbs6 ft0NoNoFree AgentNoNo22024-07-07FalseFalsePro & Farm1,650,000$0$0$No1,650,000$--------1,650,000$--------No--------Lien
Joni TuulolaWranglers (Cal)D291996-01-01FINNo198 Lbs6 ft3NoNoN/ANoNo12024-05-29FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Joseph CecconiWranglers (Cal)D271997-03-23USANo209 Lbs6 ft3NoNoN/ANoNo22024-05-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Julian MelchioriWranglers (Cal)D331991-12-06CANNo218 Lbs6 ft3NoNoFree AgentNoNo22024-08-26FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Kristopher FoucaultWranglers (Cal)LW/RW341990-12-12CANNo202 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Laurent BrossoitWranglers (Cal)G311993-03-23CANNo203 Lbs6 ft3NoNoTrade2024-08-18NoNo12024-07-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Liam O'BrienWranglers (Cal)C301994-07-29CANNo213 Lbs6 ft1NoNoTrade2024-08-18NoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Maksim SushkoWranglers (Cal)LW/RW261999-02-10BLRNo198 Lbs6 ft0NoNoTrade2024-07-27NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Markus NutivaaraWranglers (Cal)D301994-06-06FINNo191 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm3,500,000$0$0$No---------------------------Lien
Matt BenningWranglers (Cal)D301994-05-25CANNo203 Lbs6 ft1NoYesN/ANoNo12023-12-30FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Oliver KylingtonWranglers (Cal)D271997-05-19SWENo181 Lbs6 ft0NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Otto MakinenWranglers (Cal)C261998-05-21FINNo178 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Rasmus AsplundWranglers (Cal)LW/RW271997-12-03SWENo189 Lbs5 ft11NoNoTrade2024-01-03NoNo22024-05-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Samuel Morin (sur la masse salariale)Wranglers (Cal)D291995-07-12CANNo202 Lbs6 ft6NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,300,000$0$0$Yes1,300,000$--------1,300,000$--------No--------Lien
Sergey AndronovWranglers (Cal)C351989-07-19RUSNo207 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Tanner FritzWranglers (Cal)LW/RW331991-08-20CANNo192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Tye McGinnWranglers (Cal)LW/RW341990-07-29CANNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Yannick VeilleuxWranglers (Cal)LW/RW311993-02-22QUENo205 Lbs6 ft2NoNoFree AgentNoNo22024-01-03FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3329.33197 Lbs6 ft11.481,184,848$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rasmus AsplundOtto MakinenAdam Gaudette26023
2Maksim SushkoAlan QuineChris Brown26122
3Eetu TuulolaLiam O'BrienFredrik Forsberg25122
4Brandon McmillanAlex BelzileKristopher Foucault23122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NutivaaraMatt Benning33023
2Adam GinningJake Walman33122
3Austin Strand33122
4Matt BenningAdam Ginning1032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rasmus AsplundOtto MakinenAdam Gaudette52014
2Chris BrownLiam O'BrienMaksim Sushko48113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NutivaaraMatt Benning52023
2Adam Ginning48023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alan QuineMaksim Sushko50041
2Alex BelzileAdam Gaudette50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Austin StrandMatt Benning50131
2Jake Walman50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alan Quine50041Austin StrandMatt Benning50131
2Adam Gaudette50041Jake WalmanAdam Ginning50041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Otto MakinenChris Brown50023
2Alex BelzileMaksim Sushko50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Austin Strand50023
2Jake WalmanMarkus Nutivaara50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rasmus AsplundOtto MakinenChris BrownMarkus NutivaaraAdam Ginning
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam GaudetteAlan QuineMaksim SushkoJake WalmanMatt Benning
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Belzile, Adam Gaudette, Chris BrownChris Brown, Liam O'BrienKristopher Foucault
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Markus Nutivaara, Adam GinningMarkus NutivaaraAustin Strand, Markus Nutivaara
Tirs de pénalité
Rasmus Asplund, Liam O'Brien, Otto Makinen, Adam Gaudette, Maksim Sushko
Gardien
#1 : Laurent Brossoit, #2 : Charlie Lindgren


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
1Admirals41201000910-12110000045-12010100055040.50091726007879721811770773675073114335370700.00%11281.82%11301255350.96%1228244150.31%620119052.10%173011871700538952475
2Americans320000101551032000010155100000000000061.0001522370178797218147707736750739039205810330.00%9188.89%01301255350.96%1228244150.31%620119052.10%173011871700538952475
3Barracuda4310000014113220000007432110000077060.750142539007879721813470773675073982114618225.00%6183.33%01301255350.96%1228244150.31%620119052.10%173011871700538952475
4Bears11000000523110000005230000000000021.000591400787972183270773675073281116154250.00%7185.71%01301255350.96%1228244150.31%620119052.10%173011871700538952475
5BruinsF1010000027-5000000000001010000027-500.000235007879721832707736750732410430100.00%110.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
6Canucks311001001313020100100911-21100000042230.500132336007879721883707736750731023726471218.33%13284.62%01301255350.96%1228244150.31%620119052.10%173011871700538952475
7Checkers1010000035-2000000000001010000035-200.0003580078797218237077367507330710262150.00%5180.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
8Comets11000000514110000005140000000000021.000510150078797218377077367507321106247228.57%30100.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
9Condors43100000151232110000067-12200000095460.75015284300787972181197077367507314235347415320.00%15473.33%01301255350.96%1228244150.31%620119052.10%173011871700538952475
10Crunch1000010012-1000000000001000010012-110.500123007879721826707736750732041015200.00%5180.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
11Eagles412000101114-32100001084420200000310-740.50011193000787972188670773675073132444361700.00%18383.33%01301255350.96%1228244150.31%620119052.10%173011871700538952475
12Firebirds1000000134-11000000134-10000000000010.50034700787972183170773675073325884250.00%40100.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
13Griffins2020000069-32020000069-30000000000000.000691500787972185170773675073572612286233.33%60100.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
14Gulls42101000171252110000074321001000108260.75017304701787972181357077367507311928296711327.27%11190.91%01301255350.96%1228244150.31%620119052.10%173011871700538952475
15Icehogs31100010121202010001078-11100000054140.6671217290078797218877077367507397221552900.00%50100.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
16Iowa Wild310001011314-1210001008801000000156-140.6671325380078797218112707736750739531244412325.00%10280.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
17Islanders2110000048-4000000000002110000048-420.500471100787972184770773675073791524407228.57%11281.82%01301255350.96%1228244150.31%620119052.10%173011871700538952475
18Marlies11000000734110000007340000000000021.0007132000787972184270773675073257411300.00%20100.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
19Monsters20101000440000000000002010100044020.500481200787972185470773675073702018388225.00%8275.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
20Moose10001000431000000000001000100043121.00048120078797218347077367507336910194125.00%5180.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
21PenguinsF11000000541000000000001100000054121.0005101500787972182870773675073251023103133.33%4175.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
22Phantoms11000000413110000004130000000000021.0004812007879721836707736750732254244250.00%20100.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
23Reign41101001151322010100045-121000001118350.62515284300787972181407077367507313135327112433.33%16475.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
24Roadrunners422000001165211000006332110000053240.50011193001787972181227077367507311438226617423.53%10280.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
25Rocket1000000123-1000000000001000000123-110.50024600787972183770773675073259418300.00%2150.00%01301255350.96%1228244150.31%620119052.10%173011871700538952475
26Silver Knights4210000116151211000008712100000188050.62516284400787972181427077367507312326297626415.38%11463.64%01301255350.96%1228244150.31%620119052.10%173011871700538952475
27StarsF40200200816-820100100510-52010010036-320.250816240078797218817077367507311841286212216.67%14378.57%01301255350.96%1228244150.31%620119052.10%173011871700538952475
28Thunderbirds41300000916-72110000045-120200000511-620.2509172610787972181387077367507312137187513215.38%9188.89%01301255350.96%1228244150.31%620119052.10%173011871700538952475
29Wolf Pack10000010431100000104310000000000021.000459007879721824707736750732968103133.33%4175.00%11301255350.96%1228244150.31%620119052.10%173011871700538952475
30Wolves2020000014-3000000000002020000014-300.0001231078797218507077367507342121237400.00%6266.67%01301255350.96%1228244150.31%620119052.10%173011871700538952475
Total722726055452382326371612013411321092335111404204106123-17820.5692384216592378797218222770773675073216163356012372364920.76%2334481.12%21301255350.96%1228244150.31%620119052.10%173011871700538952475
_Since Last GM Reset722726055452382326371612013411321092335111404204106123-17820.5692384216592378797218222770773675073216163356012372364920.76%2334481.12%21301255350.96%1228244150.31%620119052.10%173011871700538952475
_Vs Conference53192104423173177-4281012013208990-12599031038487-3570.538173309482127879721816017077367507316334743978921753218.29%1633180.98%11301255350.96%1228244150.31%620119052.10%173011871700538952475
_Vs Division24850021293801313430021044422114200002493811220.45893166259017879721878470773675073747187172404881921.59%761678.95%01301255350.96%1228244150.31%620119052.10%173011871700538952475

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7282L123842165922272161633560123723
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7227265545238232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3716121341132109
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3511144204106123
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2364920.76%2334481.12%2
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
7077367507378797218
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
1301255350.96%1228244150.31%620119052.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
173011871700538952475


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
1 - 2024-09-052Americans0Wranglers4WSommaire du match
4 - 2024-09-0828Wranglers5Icehogs4WSommaire du match
7 - 2024-09-1149Icehogs5Wranglers6WXXSommaire du match
10 - 2024-09-1469Griffins5Wranglers3LSommaire du match
12 - 2024-09-1684Wranglers6Gulls5WXSommaire du match
13 - 2024-09-1797Wranglers2Monsters1WXSommaire du match
15 - 2024-09-19112Condors2Wranglers3WSommaire du match
18 - 2024-09-22131Wranglers3Admirals2WXSommaire du match
20 - 2024-09-24144Admirals4Wranglers2LSommaire du match
22 - 2024-09-26161Wranglers4Silver Knights5LXXSommaire du match
24 - 2024-09-28173Wranglers1Eagles4LSommaire du match
26 - 2024-09-30185Eagles3Wranglers4WXXSommaire du match
28 - 2024-10-02205StarsF5Wranglers4LXSommaire du match
30 - 2024-10-04218Wranglers1StarsF3LSommaire du match
32 - 2024-10-06231Wranglers3Reign4LXXSommaire du match
34 - 2024-10-08245Wranglers4Canucks2WSommaire du match
36 - 2024-10-10254Barracuda2Wranglers3WSommaire du match
38 - 2024-10-12271Wranglers0Wolves1LSommaire du match
40 - 2024-10-14284Americans4Wranglers5WXXSommaire du match
43 - 2024-10-17308Reign2Wranglers3WXSommaire du match
46 - 2024-10-20331Condors5Wranglers3LSommaire du match
49 - 2024-10-23347Wranglers5PenguinsF4WSommaire du match
51 - 2024-10-25364Reign3Wranglers1LSommaire du match
54 - 2024-10-28388Americans1Wranglers6WSommaire du match
56 - 2024-10-30402Wranglers2Admirals3LSommaire du match
58 - 2024-11-01413Wranglers6Condors3WSommaire du match
60 - 2024-11-03423Wranglers3Barracuda2WSommaire du match
62 - 2024-11-05438Icehogs3Wranglers1LSommaire du match
64 - 2024-11-07456Wranglers4Silver Knights3WSommaire du match
66 - 2024-11-09469Thunderbirds2Wranglers0LSommaire du match
69 - 2024-11-12488Wranglers4Barracuda5LSommaire du match
71 - 2024-11-14503Gulls0Wranglers4WSommaire du match
74 - 2024-11-17521Thunderbirds3Wranglers4WSommaire du match
76 - 2024-11-19536Wranglers3Checkers5LSommaire du match
78 - 2024-11-21553Marlies3Wranglers7WSommaire du match
80 - 2024-11-23573Wranglers4Moose3WXSommaire du match
82 - 2024-11-25583Wranglers3Thunderbirds6LSommaire du match
83 - 2024-11-26594Silver Knights2Wranglers5WSommaire du match
86 - 2024-11-29614Wranglers2Thunderbirds5LSommaire du match
87 - 2024-11-30627Gulls4Wranglers3LSommaire du match
90 - 2024-12-03648Wranglers2Roadrunners3LSommaire du match
91 - 2024-12-04659Bears2Wranglers5WSommaire du match
94 - 2024-12-07680Wranglers8Reign4WSommaire du match
96 - 2024-12-09688Wranglers2StarsF3LXSommaire du match
97 - 2024-12-10697Phantoms1Wranglers4WSommaire du match
100 - 2024-12-13717Wranglers2Monsters3LSommaire du match
101 - 2024-12-14730Eagles1Wranglers4WSommaire du match
105 - 2024-12-18755Barracuda2Wranglers4WSommaire du match
109 - 2024-12-22781Iowa Wild4Wranglers5WSommaire du match
113 - 2024-12-26808Canucks5Wranglers4LXSommaire du match
117 - 2024-12-30838Silver Knights5Wranglers3LSommaire du match
119 - 2025-01-01857Wranglers2Eagles6LSommaire du match
120 - 2025-01-02867Canucks6Wranglers5LSommaire du match
124 - 2025-01-06889Wranglers2Rocket3LXXSommaire du match
125 - 2025-01-07903Comets1Wranglers5WSommaire du match
127 - 2025-01-09922Wranglers1Wolves3LSommaire du match
129 - 2025-01-11934Firebirds4Wranglers3LXXSommaire du match
132 - 2025-01-14952Wranglers1Crunch2LXSommaire du match
133 - 2025-01-15965Wranglers4Gulls3WSommaire du match
135 - 2025-01-17973Wolf Pack3Wranglers4WXXSommaire du match
138 - 2025-01-20997Iowa Wild4Wranglers3LXSommaire du match
139 - 2025-01-211009Wranglers2BruinsF7LSommaire du match
141 - 2025-01-231027StarsF5Wranglers1LSommaire du match
143 - 2025-01-251037Wranglers3Roadrunners0WSommaire du match
145 - 2025-01-271050Wranglers3Islanders2WSommaire du match
147 - 2025-01-291065Griffins4Wranglers3LSommaire du match
150 - 2025-02-011093Roadrunners1Wranglers5WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2025-02-031108Wranglers1Islanders6LSommaire du match
154 - 2025-02-051119Wranglers3Condors2WSommaire du match
155 - 2025-02-061127Admirals1Wranglers2WSommaire du match
157 - 2025-02-081139Wranglers5Iowa Wild6LXXSommaire du match
160 - 2025-02-111158Roadrunners2Wranglers1LSommaire du match
161 - 2025-02-121162Wranglers-Griffins-
164 - 2025-02-151189SenatorsF-Wranglers-
169 - 2025-02-201221Wolves-Wranglers-
172 - 2025-02-231235Wranglers-Icehogs-
173 - 2025-02-241241Wranglers-Canucks-
176 - 2025-02-271257Monsters-Wranglers-
177 - 2025-02-281262Wranglers-Iowa Wild-
180 - 2025-03-031287Monsters-Wranglers-
181 - 2025-03-041292Wranglers-Griffins-
183 - 2025-03-061305Wranglers-Icehogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3617
Assistance56,20228,176
Assistance PCT75.95%76.15%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
4 2280 - 76.02% 100,767$3,728,373$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,674,212$ 6,255,000$ 6,255,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,587,742$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
403,067$ 25 34,351$ 858,775$




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
1Markus Nutivaara1311961802307411317710.73%125267920.46101323850110230%00.6000
2Samuel Morin1291663792011618011113911.51%149251219.476915520332210%00.6300
3Jeffrey Viel8227477417511897621712.44%15126815.47516214500001146.25%11.1701
4Jake Walman126145165-7901618611711.97%123255420.2891019400113120%00.5100
5Kirill Marchenko7329316058256819814.65%10121516.66510153800005140.56%00.9901

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
1Calvin Petersen59281990.8982.9533216316316020120.61526
2Antoine Bibeau48271430.9172.5727060111613980131.0006
3Jason Missiaen2771720.8743.44149940866810000.3333
4Laurent Brossoit165510.8883.7275900474210000.5008
5Charlie Lindgren42200.8892.9022800119901000

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
1582344000521260258241152200310121132-11411918002111391261378260456716319879813237381775079420248270360513802305523.91%2535677.87%31344272249.38%1350281148.03%653133848.80%1885127719786201081532
16722726055452382326371612013411321092335111404204106123-17822384216592378797218222770773675073216163356012372364920.76%2334481.12%21301255350.96%1228244150.31%620119052.10%173011871700538952475
Total Saison régulière15461660510664984908783134016512532411276303204415245249-416049887713755417615815321460015241486154493464313361165261746610422.32%48610079.42%52645527550.14%2578525249.09%1273252850.36%361524643679115820331008
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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

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