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Wolves
GP: 27 | W: 15 | L: 10 | OTL: 2 | P: 32
GF: 53 | GA: 65 | PP%: 21.67% | PK%: 71.74%
DG: Gabriel Whiddon | Morale : 57 | Moyenne d’équipe : 59
Prochains matchs #438 vs Rocket

Centre de jeu
Marlies
7-16-4, 18pts
0
1 Wolves
15-10-2, 32pts
Team Stats
L1SéquenceW2
3-9-1Fiche domicile7-5-2
4-7-3Fiche domicile8-5-0
2-6-2Derniers 10 matchs6-4-0
2.15Buts par match 1.96
3.41Buts contre par match 2.41
28.81%Pourcentage en avantage numérique21.67%
62.69%Pourcentage en désavantage numérique71.74%
Wolves
15-10-2, 32pts
5
4 Roadrunners
14-9-5, 33pts
Team Stats
W2SéquenceOTL2
7-5-2Fiche domicile7-5-2
8-5-0Fiche domicile7-4-3
6-4-0Derniers 10 matchs5-2-3
1.96Buts par match 4.36
2.41Buts contre par match 4.04
21.67%Pourcentage en avantage numérique25.00%
71.74%Pourcentage en désavantage numérique79.17%
Wolves
15-10-2, 32pts
Jour 36
Rocket
16-4-8, 40pts
Statistiques d’équipe
W2SéquenceL1
7-5-2Fiche domicile9-0-4
8-5-0Fiche visiteur7-4-4
6-4-010 derniers matchs5-2-3
1.96Buts par match 2.43
2.41Buts contre par match 2.43
21.67%Pourcentage en avantage numérique31.03%
71.74%Pourcentage en désavantage numérique74.19%
Eagles
9-12-5, 23pts
Jour 37
Wolves
15-10-2, 32pts
Statistiques d’équipe
OTL1SéquenceW2
6-7-1Fiche domicile7-5-2
3-5-4Fiche visiteur8-5-0
3-5-210 derniers matchs6-4-0
2.54Buts par match 1.96
3.31Buts contre par match 1.96
48.39%Pourcentage en avantage numérique21.67%
71.64%Pourcentage en désavantage numérique71.74%
Wolves
15-10-2, 32pts
Jour 38
Admirals
12-11-3, 27pts
Statistiques d’équipe
W2SéquenceSOL1
7-5-2Fiche domicile6-7-0
8-5-0Fiche visiteur6-4-3
6-4-010 derniers matchs3-6-1
1.96Buts par match 2.50
2.41Buts contre par match 2.50
21.67%Pourcentage en avantage numérique36.17%
71.74%Pourcentage en désavantage numérique61.73%
Meneurs d'équipe
Ryan DonatoButs
Ryan Donato
9
Troy TerryPasses
Troy Terry
18
Troy TerryPoints
Troy Terry
22
Plus/Moins
Samuel Honzek
3
Victoires
Cooper Black
13
Pourcentage d’arrêts
Cooper Black
0.879

Statistiques d’équipe
Buts pour
53
1.96 GFG
Tirs pour
371
13.74 Avg
Pourcentage en avantage numérique
21.7%
13 GF
Début de zone offensive
33.8%
Buts contre
65
2.41 GAA
Tirs contre
491
18.19 Avg
Pourcentage en désavantage numérique
71.7%%
13 GA
Début de la zone défensive
40.3%
Informations de l'équipe

Directeur généralGabriel Whiddon
EntraîneurDan Lambert
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,120
Billets de saison1,500


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 100
Espoirs142


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
1Ryan DonatoXXX95.0078548574707397766780886367727379617302921,765,000$
2Sam BennettX100.0085786878727695778177846025788377587302912,050,000$
3Troy TerryXX100.0057419279707994843782786259707075637202822,361,000$
4Mathieu OlivierXX100.0099995381856799613764727425656672756902911,240,000$
5Eetu LuostarinenXXX100.0088468984737098604264607425697268626802711,148,000$
6Jack QuinnX100.0065429276706891742976726085626271656802421,811,000$
7Matt Savoie (R)X100.0070628790638185648062636160454566676502231,471,000$
8Mikey EyssimontX97.0079677683715794623460656325646564646502921,543,000$
9Samuel Honzek (R)X100.0077728872736972565052566353454560665902131,277,000$
10Samuel Savoie (R)X100.0073688866697987505049466045454555645702131,289,000$
11Aatu Jamsen (R)X100.0073678764684645525044566054454557545402231,266,000$
12Carsen TwarynskiX100.0076738364735050495049456144454553455302811,044,000$
13Urho VaakanainenX95.0063428974766970612561477925636362576602731,893,000$
14Ian Moore (R)X100.0079768681775252542551436341454556586002431,382,000$
15William WallinderX97.0083789466795253502545406538454553545802331,600,000$
16Joakim Ryan (R)X100.0075679262676874452534416038454751685703221,414,000$
17Aidan FulpX100.008179866279434348254039623745454960550251950,000$
18Montana OnyebuchiX100.007382526382525446253441583945454864550251950,000$
19Chris JandricX100.007166878066353251254839593745455167550272800,000$
Rayé
1Artem Shlaine (R)XXX100.0078699980693532496149446242444453335302331,339,000$
2Koehn Ziemmer (R)X100.0084789980783230445038446442444452235202131,265,000$
3Quinn Olson (R)XXX100.0069677280673633486047445842444451235202431,333,000$
4Daniel TorgerssonX100.007674816074363544503844604244444931490241925,000$
5Anton MalmstromX100.008178876078363445253539633744445023530251950,000$
6Jeremie BuchelerX100.008477996077353441252839633744444923520251950,000$
7Will MacKinnonX100.007272736172464744253439573744444823520251950,000$
MOYENNE D’ÉQUIPE99.38776884727355635541525363425252585259
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
1Cooper Black (R)99.005940509261677472747330454563776502411,000,000$
2Jeremy Brodeur100.004440506845894448898145444460545902911,000,000$
Rayé
1Ty Young (R)100.005140507454515456545430444452585302131,245,000$
MOYENNE D’ÉQUIPE99.6751405078536957597269354444586359
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Lambert40404040404040TUR8111,000,000$


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
1Troy TerryWolves (HAR)LW/RW2741822-900295740142310.00%760622.4519109490000420042.35%2811113000.7311000042
2Ryan DonatoWolves (HAR)C/LW/RW219817-11115263253143916.98%748122.9242612370001202051.56%641011000.7101001120
3Mikey EyssimontWolves (HAR)C278311-14452549363471623.53%859021.862248480002231032.26%62615000.3713221121
4Jack QuinnWolves (HAR)RW276511-320292833132218.18%350918.88112340000002040.00%567000.4311000220
5Matt SavoieWolves (HAR)C27448-28043502771214.81%449618.38101327000082061.32%106117000.3224000100
6Eetu LuostarinenWolves (HAR)C/LW/RW27538-340444225102620.00%1254220.081011240002150033.33%18310000.3000000203
7Urho VaakanainenWolves (HAR)D27077-1416102461171180%3572826.96011150000040000%0529000.1901011000
8Sam BennettWolves (HAR)C21426-695293322121818.18%335116.7500000000003064.71%17052000.3400001102
9William WallinderWolves (HAR)D27145-11210294821334.76%1761222.69011239000127100%028000.1600011102
10Paul CotterWhalersC/LW/RW632515568191415.79%313121.96112110000090046.94%4954000.7601010020
11Mathieu OlivierWolves (HAR)LW/RW26145-89040433930893.33%938714.901233220000130039.04%228118000.2613404001
12Joakim RyanWolves (HAR)D27224-275232677128.57%2358021.50000038000029000%0010000.1400100001
13Ian MooreWolves (HAR)D26134-94010212418335.56%1942216.25123332000029000%148000.1900101002
14Samuel HonzekWolves (HAR)LW272133401922102820.00%328310.520000120001141053.85%1325000.2101000100
15Carsen TwarynskiWolves (HAR)LW170332001892020%11508.8800000000000060.00%503000.4011000010
16Aidan FulpWolves (HAR)D27022-57521309350%1546617.28000119000010000%0210000.0900010000
17Sam MortonWhalersC6011200111000%0386.4200000000000063.64%1100000.5211000000
18Aatu JamsenWolves (HAR)RW2100002018110010%42069.8300000000000066.67%30000000000000
19Samuel SavoieWolves (HAR)LW27000000311000%0321.190000000000000%00000000000000
20Jeremie BuchelerWolves (HAR)D1000000000000%01414.230000000000000%00000000000000
21Anton MalmstromWolves (HAR)D1000000101000%01010.550000000000000%00000000000000
22Montana OnyebuchiWolves (HAR)D27000-210017131110%131011.520000000009000%00500000000000
23Chris JandricWolves (HAR)D27000055380000%01365.050000000000000%00000000100000
24Artem ShlaineWolves (HAR)C/LW/RW6000100230010%0366.030000000000000%00000011000000
25Quinn OlsonWolves (HAR)C/LW/RW1000000000000%022.480000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne5045072122-8027712549858237111620213.48%174812916.1313213447457000729712047.83%101683155000.309199610101314
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
1Cooper BlackWolves (HAR)2413820.8792.1213294647390205100.63219240020
2Jeremy BrodeurWolves (HAR)52200.8502.7825900128041200036100
3Ty YoungWolves (HAR)30000.7624.55660052190000021000
Statistiques d’équipe totales ou en moyenne32151020.8702.321655466449125530192727120


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
Aatu JamsenWolves (HAR)RW222003-07-22FINYes175 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,266,000$881,679$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Lien
Aidan FulpWolves (HAR)D252000-02-29USANo210 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$661,607$0$0$No---------------------------Lien
Anton MalmstromWolves (HAR)D252000-03-18SWENo205 Lbs6 ft4NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$661,607$0$0$No---------------------------Lien
Artem ShlaineWolves (HAR)C/LW/RW232002-03-07USAYes185 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,339,000$932,518$0$0$No1,339,000$1,339,000$-------1,339,000$1,339,000$-------NoNo-------Lien
Carsen TwarynskiWolves (HAR)LW281997-11-24CANNo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,044,000$727,071$0$0$No---------------------------Lien / Lien NHL
Chris JandricWolves (HAR)D271998-10-03BCNo181 Lbs5 ft11NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm800,000$557,143$0$0$No800,000$--------800,000$--------No--------Lien
Cooper BlackWolves (HAR)G242001-06-14USAYes223 Lbs6 ft8NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$696,429$0$0$No---------------------------Lien
Daniel TorgerssonWolves (HAR)LW242002-01-26SWENo199 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$644,196$0$0$No---------------------------Lien
Eetu LuostarinenWolves (HAR)C/LW/RW271998-09-02FINNo191 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,148,000$799,500$0$0$No---------------------------Lien
Ian MooreWolves (HAR)D242002-01-04USAYes203 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,382,000$962,464$0$0$No1,382,000$1,382,000$-------1,382,000$1,382,000$-------NoNo-------Lien
Jack QuinnWolves (HAR)RW242001-09-19CANNo185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,811,000$1,261,232$0$0$No1,811,000$--------890,042$--------No--------Lien
Jeremie BuchelerWolves (HAR)D252000-03-31QUENo200 Lbs6 ft4NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$661,607$0$0$No---------------------------Lien
Jeremy BrodeurWolves (HAR)G291996-10-29USANo185 Lbs6 ft0NoNoAssign ManuallyNoNo12026-01-23FalseFalsePro & Farm1,000,000$696,429$0$0$No---------------------------Lien
Joakim RyanWolves (HAR)D321993-06-17USAYes185 Lbs5 ft11NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,414,000$984,750$0$0$No1,414,000$--------1,414,000$--------No--------Lien
Koehn ZiemmerWolves (HAR)RW212004-12-08ABYes215 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,265,000$880,982$0$0$No1,265,000$1,265,000$-------1,265,000$1,265,000$-------NoNo-------Lien
Mathieu OlivierWolves (HAR)LW/RW291997-02-11USANo226 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,240,000$863,571$0$0$No---------------------------Lien / Lien NHL
Matt SavoieWolves (HAR)C222004-01-01CANYes179 Lbs5 ft9NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,471,000$1,024,446$0$0$No1,471,000$1,471,000$-------1,471,000$1,471,000$-------NoNo-------Lien
Mikey EyssimontWolves (HAR)C291996-09-09USANo191 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,543,000$1,074,589$0$0$No1,543,000$--------822,755$--------No--------Lien
Montana OnyebuchiWolves (HAR)D252000-03-08MANNo220 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$661,607$0$0$No---------------------------Lien
Quinn OlsonWolves (HAR)C/LW/RW242001-05-09ABYes180 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,333,000$928,339$0$0$No1,333,000$1,333,000$-------1,333,000$1,333,000$-------NoNo-------Lien
Ryan DonatoWolves (HAR)C/LW/RW291996-04-09USANo190 Lbs6 ft0NoNoTrade2025-01-22NoNo2FalseFalsePro & Farm1,765,000$1,229,196$0$0$No1,765,000$--------925,000$--------No--------Lien / Lien NHL
Sam BennettWolves (HAR)C291996-06-20CANNo193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,050,000$1,427,679$0$0$No---------------------------Lien / Lien NHL
Samuel HonzekWolves (HAR)LW212004-11-12SVKYes186 Lbs6 ft4NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$889,339$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Samuel SavoieWolves (HAR)LW212004-03-25CANYes190 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,289,000$897,696$0$0$No1,289,000$1,289,000$-------1,289,000$1,289,000$-------NoNo-------Lien
Troy TerryWolves (HAR)LW/RW281997-09-10USANo191 Lbs6 ft0NoNoTrade2024-10-01NoNo2FalseFalsePro & Farm2,361,000$1,644,268$0$0$No2,361,000$--------750,000$--------No--------Lien / Lien NHL
Ty YoungWolves (HAR)G212004-09-11CANYes183 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,245,000$867,054$0$0$No1,245,000$1,245,000$-------1,245,000$1,245,000$-------NoNo-------Lien
Urho VaakanainenWolves (HAR)D271999-01-01FINNo205 Lbs6 ft2NoNoTrade2025-02-04NoNo32025-10-17FalseFalsePro & Farm1,893,000$1,318,339$0$0$No1,893,000$1,893,000$-------1,893,000$1,893,000$-------NoNo-------Lien / Lien NHL
Will MacKinnonWolves (HAR)D252000-04-13USANo201 Lbs5 ft11NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm950,000$661,607$0$0$No---------------------------Lien
William WallinderWolves (HAR)D232002-07-28SWENo205 Lbs6 ft4NoNoN/ANoNo32025-12-08FalseFalsePro & Farm1,600,000$1,114,286$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.28196 Lbs6 ft21.971,317,621$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoSam BennettMikey Eyssimont40122
2Jack QuinnTroy TerryEetu Luostarinen30122
3Ryan DonatoSam BennettMikey Eyssimont20122
4Ryan DonatoMatt SavoieMikey Eyssimont10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenAidan Fulp40122
2William WallinderJoakim Ryan30122
3Urho VaakanainenWilliam Wallinder20122
4William WallinderUrho Vaakanainen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan DonatoTroy TerryMikey Eyssimont60122
2Matt SavoieMikey EyssimontJack Quinn40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenAidan Fulp60122
2Joakim RyanWilliam Wallinder40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan DonatoTroy Terry60122
2Mikey EyssimontEetu Luostarinen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenMontana Onyebuchi60122
2William WallinderJoakim Ryan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Troy Terry60122Urho VaakanainenWilliam Wallinder60122
2Mikey Eyssimont40122Joakim RyanChris Jandric40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matt SavoieRyan Donato60122
2Mikey EyssimontTroy Terry40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aidan FulpUrho Vaakanainen60122
2William WallinderJoakim Ryan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DonatoTroy TerryMikey EyssimontUrho VaakanainenWilliam Wallinder
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan DonatoTroy TerryMikey EyssimontUrho VaakanainenWilliam Wallinder
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikey Eyssimont, Troy Terry, Matt SavoieMikey Eyssimont, Troy TerryMikey Eyssimont
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Ryan, William Wallinder, Urho VaakanainenUrho VaakanainenWilliam Wallinder, Urho Vaakanainen
Tirs de pénalité
Matt Savoie, Sam Bennett, Mikey Eyssimont, Ryan Donato, Troy Terry
Gardien
#1 : Cooper Black, #2 : Jeremy Brodeur


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
1Barracuda3020001028-62020000018-71000001010120.33322401111320153480102174334494947600.00%7185.71%017133451.20%18739946.87%12825650.00%475163474297706367
2Comets32001000945100010003212200000062461.000913220111132015378010217433492244628337.50%6266.67%017133451.20%18739946.87%12825650.00%475163474297706367
3Crunch1010000005-5000000000001010000005-500.00000000111320151180102174332543726400.00%10100.00%017133451.20%18739946.87%12825650.00%475163474297706367
4Eagles1010000026-4000000000001010000026-400.0002240011132015108010217433317291722100.00%220.00%017133451.20%18739946.87%12825650.00%475163474297706367
5Gulls1010000013-21010000013-20000000000000.0001230011132015178010217433291412253133.33%6266.67%017133451.20%18739946.87%12825650.00%475163474297706367
6IceHogs31000110871310001108710000000000050.833811190011132015598010217433391429508112.50%7271.43%017133451.20%18739946.87%12825650.00%475163474297706367
7Islanders11000000312000000000001100000031221.00033600111320152680102174333410423200.00%20100.00%017133451.20%18739946.87%12825650.00%475163474297706367
8Marlies10001000101100010001010000000000021.00012301111320159801021743364726100.00%000%017133451.20%18739946.87%12825650.00%475163474297706367
9Monsters31001010725110000003032000101042261.0007101702111320153980102174332510144611218.18%20100.00%017133451.20%18739946.87%12825650.00%475163474297706367
10Reign1010000025-31010000025-30000000000000.000224001113201558010217433341515192150.00%5260.00%017133451.20%18739946.87%12825650.00%475163474297706367
11Roadrunners10001000541000000000001000100054121.000571200111320151980102174333410019200.00%000%017133451.20%18739946.87%12825650.00%475163474297706367
12Rocket4020100138-53010100137-41010000001-130.3753580111132015398010217433452216615240.00%3233.33%017133451.20%18739946.87%12825650.00%475163474297706367
13Senators21100000660000000000002110000066020.50069150011132015408010217433761925464125.00%50100.00%017133451.20%18739946.87%12825650.00%475163474297706367
14Stars1010000014-3000000000001010000014-300.0001120011132015980102174331410017100.00%000%017133451.20%18739946.87%12825650.00%475163474297706367
15Wolf Pack10001000321100010003210000000000021.000336001113201517801021743364014100.00%000%017133451.20%18739946.87%12825650.00%475163474297706367
Total27610061315365-121425041112534-91345020202831-3320.593537212506111320153718010217433491174281498601321.67%461371.74%017133451.20%18739946.87%12825650.00%475163474297706367
_Since Last GM Reset27610061315365-121425041112534-91345020202831-3320.593537212506111320153718010217433491174281498601321.67%461371.74%017133451.20%18739946.87%12825650.00%475163474297706367
_Vs Conference2157041313945-61224031112229-79330102017161260.61939559405111320152938010217433338118226377501020.00%37975.68%017133451.20%18739946.87%12825650.00%475163474297706367
_Vs Division655031311621-53230211187133201020814-6242.0001621370011132015978010217433118415810313323.08%9455.56%017133451.20%18739946.87%12825650.00%475163474297706367

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2732W2537212537149117428149806
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2761061315365
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
142541112534
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
134520202831
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
601321.67%461371.74%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
801021743311132015
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
17133451.20%18739946.87%12825650.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
475163474297706367


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
211Wolves4Comets2WSommaire du match
328Barracuda5Wolves0LSommaire du match
443Wolves3Monsters2WXXSommaire du match
557IceHogs3Wolves2LXSommaire du match
771Wolves5Senators2WSommaire du match
885Rocket0Wolves1WXSommaire du match
10105Gulls3Wolves1LSommaire du match
11126Monsters0Wolves3WSommaire du match
12134Wolves1Senators4LSommaire du match
14158Wolves2Comets0WSommaire du match
15167Comets2Wolves3WXSommaire du match
16189Rocket3Wolves2LXXSommaire du match
17205Wolves0Rocket1LSommaire du match
18208Wolves1Barracuda0WXXSommaire du match
19224Barracuda3Wolves1LSommaire du match
20249IceHogs3Wolves4WXXSommaire du match
22265Wolves2Eagles6LSommaire du match
24282Wolves0Crunch5LSommaire du match
25291Rocket4Wolves0LSommaire du match
27313IceHogs1Wolves2WSommaire du match
28327Wolves3Islanders1WSommaire du match
29340Wolves1Stars4LSommaire du match
30355Wolf Pack2Wolves3WXSommaire du match
31375Wolves1Monsters0WXSommaire du match
32383Reign5Wolves2LSommaire du match
33404Marlies0Wolves1WXSommaire du match
34419Wolves5Roadrunners4WXSommaire du match
36438Wolves-Rocket-
37448Eagles-Wolves-
38471Wolves-Admirals-
39481Griffins-Wolves-
41499Wolves-IceHogs-
42512Gulls-Wolves-
43532Comets-Wolves-
44548Wolves-Comets-
45564Stars-Wolves-
46581Wolves-Bruins-
47587Wolves-Wild-
48602Roadrunners-Wolves-
49626Barracuda-Wolves-
50641Wolves-Gulls-
51646Wolves-Marlies-
52668Phantoms-Wolves-
53686Thunderbirds-Wolves-
55705Wolves-Thunderbirds-
56721Penguins-Wolves-
58736Wolves-Condors-
59752Bruins-Wolves-
60768Wolves-Canucks-
61781Checkers-Wolves-
63796Wolves-Americans-
64811Americans-Wolves-
66830Wolves-Phantoms-
67842Wolves-Moose-
68851Moose-Wolves-
69873Condors-Wolves-
71894Wolves-Wolf Pack-
72907Canucks-Wolves-
74924Wolves-Heat-
75939Admirals-Wolves-
77956Wolves-Bears-
78967Senators-Wolves-
80993Wild-Wolves-
811004Wolves-Checkers-
821023Wild-Wolves-
831034Wolves-IceHogs-
851054Silver Knights-Wolves-
861060Wolves-Silver Knights-
881085Wolves-Eagles-
891097Bears-Wolves-
901116Monsters-Wolves-
911130Wolves-Canucks-
931148Crunch-Wolves-
941158Wolves-Monsters-
951172Wolves-Gulls-
961185Wolves-Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971195Heat-Wolves-
981213Wolves-Penguins-
1001223Senators-Wolves-
1011234Wolves-Senators-
1021253Islanders-Wolves-
1041273Wolves-Griffins-
1051282Silver Knights-Wolves-
1061291Wolves-Barracuda-
1101319Penguins-Wolves-
1111332Wolves-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3516
Assistance19,6999,984
Assistance PCT70.35%71.31%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 2120 - 70.67% 90,380$1,265,322$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,410,020$ 3,821,100$ 3,821,100$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
34,117$ 1,106,435$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,621,024$ 78 43,046$ 3,357,588$




Wolves 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

Wolves 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

Wolves 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

Wolves 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

Wolves 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