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Connexion

Wild
GP: 86 | W: 72 | L: 12 | OTL: 2 | P: 146
GF: 398 | GA: 210 | PP%: 22.99% | PK%: 78.47%
DG: Kevin Klippenstein | Morale : 99 | Moyenne d’équipe : 64

Centre de jeu
Wild
72-12-2, 146pts
5
2 Condors
48-25-13, 109pts
Team Stats
W10SéquenceW1
35-6-2Fiche domicile25-13-5
37-6-0Fiche domicile23-12-8
10-0-0Derniers 10 matchs6-2-2
4.63Buts par match 2.69
2.44Buts contre par match 2.21
22.99%Pourcentage en avantage numérique24.72%
78.47%Pourcentage en désavantage numérique74.68%
Admirals
39-35-12, 90pts
0
8 Wild
72-12-2, 146pts
Team Stats
L3SéquenceW10
20-20-3Fiche domicile35-6-2
19-15-9Fiche domicile37-6-0
4-5-1Derniers 10 matchs10-0-0
2.21Buts par match 4.63
2.70Buts contre par match 2.44
25.88%Pourcentage en avantage numérique22.99%
68.66%Pourcentage en désavantage numérique78.47%
Meneurs d'équipe
Buts
Peyton Krebs
51
Passes
JJ Peterka
79
Points
JJ Peterka
118
Plus/Moins
Pavel Mintyukov
60
Victoires
Arvid Soderblom
12
Pourcentage d’arrêts
Arvid Soderblom
0.872

Statistiques d’équipe
Buts pour
398
4.63 GFG
Tirs pour
3367
39.15 Avg
Pourcentage en avantage numérique
23.0%
60 GF
Début de zone offensive
45.0%
Buts contre
210
2.44 GAA
Tirs contre
1799
20.92 Avg
Pourcentage en désavantage numérique
78.5%%
31 GA
Début de la zone défensive
27.6%
Informations de l'équipe

Directeur généralKevin Klippenstein
EntraîneurAngelo Ricci
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1Jonas Siegenthaler
Assistant #2Andrew Mangiapane


Informations de l’aréna

Capacité3,000
Assistance2,970
Billets de saison1,500


Informations de la formation

Équipe Pro38
Équipe Mineure19
Limite contact 57 / 100
Espoirs59


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
1JJ PeterkaXX100.0063418780707894853089876069676776907502432,999,999$
2Kirby DachXX100.0086468182847074795470766180686967917102511,694,000$
3Peyton KrebsXX100.0084767981716698717771697225696966897002521,467,000$
4Jack DruryX100.00664291856763897094666574256567649168X02631,701,000$
5Collin Graf (R)X100.0067429381737288703567717925505069916802331,000,000$
6Mark JankowskiXX100.00655485778063776481637376257273679068X03111,500,000$
7Jackson Blake (R)X100.0058408975676697784570776125585867916802231,487,000$
8Andrew Mangiapane (A)X100.0074429279656498693664726525747667906803032,006,000$
9Tye KartyeXXX100.009556817774548362316162682562636391650251750,000$
10Dalibor Dvorsky (R)X100.0078748970777578625058646461474764916302031,420,000$
11Brett Berard (R)X100.0080439485645782593860706325505067906302331,422,000$
12Sean FarrellX100.0072629468627883627859606357444464386102431,411,000$
13Brock FaberX100.006552918776939777256153842563646590750231925,000$
14Lane Hutson (R)X100.0064418899608699812578527125585865907302231,000,000$
15Dylan SambergX100.0073448872818277632559509225656663897202721,450,000$
16Jonas Siegenthaler (A)X100.00814578727978726325514989257173609171X02921,933,000$
17Pavel MintyukovX100.007844917577728570255853812562626191700222918,333$
18Wyatt KaiserX100.00734293756675916225484984255959609069X0231916,667$
Rayé
1Samuel FagemoXX100.007773866973788262505368656545456619620261891,000$
2Arthur KaliyevX100.0065439573785846612557725875626366206102421,397,000$
3Samu TuomaalaX100.0070658166656364625061606257444462205902331,282,000$
4Alexis Gendron (R)X100.0070667966667479565046626059444462205802231,288,000$
5Niko Huuhtanen (R)X100.0074747365746466565052566253444460205702231,292,000$
6Jack Devine (R)X100.0055409980682848602550556525444458205502231,285,000$
7Josh Filmon (R)X100.0071629360625761445038445842444451205002231,317,000$
8Maveric Lamoureux (R)X100.0079993275836972602550507025484756836402231,410,000$
9Jack Thompson (R)X100.006341897470687566255454722548486219630241902,500$
10Chad RuhwedelX100.0070677672676771532546416539687055206103611,018,000$
11Jeremie PoirierX100.007271756771798654255241613944445620600241833,333$
12Stanislav SvozilX100.0074708465707278512547416139444454205902331,134,000$
13Marshall Warren (R)X100.007268806468495050254341603944445120540253800,000$
14Mats Lindgren (R)X100.0068676980673433412528395537444447205102131,312,000$
MOYENNE D’ÉQUIPE100.00725684757167776340575968395556626064
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
1Jakub Dobes (R)100.00675453867164736877687545456890660251925,000$
2Arvid Soderblom100.0063666473656177616663455656649264X02632,543,000$
Rayé
1Trent Miner (R)100.00635265706464697269693044446520620252828,333$
2Aleksei Kolosov (R)100.00605453706554696165607545456120590243980,000$
3Carl Lindbom (R)100.00595164706364576465633044446020590233983,000$
4Brandon Bussi100.005550639057615359615930444457205802721,413,000$
MOYENNE D’ÉQUIPE100.0061556077646166646764484646634461
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Angelo Ricci40404040404040TUR8111,000,000$


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
1JJ PeterkaWild (MIN)LW/RW863979118271951036831910719212.23%24153717.8882331382180000145044.55%1018229001.53460101075
2Peyton KrebsWild (MIN)C/LW8651501014910050237953288915215.55%21153017.79812202316821361037361.90%848029021.32134241347
3Jackson BlakeWild (MIN)RW86515010157175489032810220615.55%27148117.236511262010002217143.53%855712001.36120017711
4Jack DruryWild (MIN)C8639498856181073992917017213.40%26133515.530000100031064163.83%11396713001.3211011682
5Kirby DachWild (MIN)C/RW86414687234410239862887718714.24%24147917.20131528412150000611349.63%14877316011.18160116123
6Collin GrafWild (MIN)RW86363975282095772397914115.06%27144916.8551217181870004127135.71%705223101.0300000643
7Mark JankowskiWild (MIN)C/RW8621507149493597144151457913.91%21152017.6865111417112341066062.12%13282518000.9302124127
8Tye KartyeWild (MIN)C/LW/RW8625244957391525679158499915.82%18131915.342022130006993039.77%881917000.7400120559
9Andrew MangiapaneWild (MIN)LW862424484040126621906613212.63%31123214.33000019000002137.74%534218000.7811000155
10Pavel MintyukovWild (MIN)D869314060423014711712740517.09%60191622.2854915246000040700%01551000.4200033132
11Brock FaberWild (MIN)D77037375118107411013177640%67180623.4609961500001102000%03443000.4100101011
12Brett BerardWild (MIN)LW86141226202010829164471038.54%87208.3700000000001171.43%7579000.7200000122
13Wyatt KaiserWild (MIN)D86222243660931018329322.41%65161718.81011158000197100%01335000.3000000110
14Lane HutsonWild (MIN)D1261723142091345172213.33%1026321.9825793700001210%0410001.7400000210
15Dylan SambergWild (MIN)D63122233610060867124321.41%59117118.5900005011390000%01439000.3901000004
16Jonas SiegenthalerWild (MIN)D863182144621018510010538322.86%59166419.351123980003103000%01148000.2501110100
17Dalibor DvorskyWild (MIN)RW85116172523151014483354813.25%78329.7900006000001033.33%151210000.4102021130
18Maveric LamoureuxWild (MIN)D70210122116680190454024225.00%2491513.08134699000119010%0421000.2600565000
19Jack ThompsonWild (MIN)D2403360010178470%32028.450000000000000%013000.3000000000
20Samuel FagemoWild (MIN)LW/RW910144031104610.00%0707.88000000000000100.00%101000.2800000000
21Sean FarrellWild (MIN)C130114009316790%31209.2700000000000056.25%3211000.1700000000
Statistiques d’équipe totales ou en moyenne14713765909667076272752263146631751030178811.84%5842418716.445795152202190134734926641356.41%4490663446130.80925132121626561
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
1Arvid SoderblomWild (MIN)1812300.8722.939646147367196200.80051571000
2Jakub DobesWild (MIN)44000.8671.972440086038000.90911412000
3Trent MinerWild (MIN)1000001600000000003000
Statistiques d’équipe totales ou en moyenne2316300.8712.701224615542723420161986000


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
Aleksei KolosovWild (MIN)G242002-01-04BLRYes185 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm980,000$0$0$No980,000$980,000$-------980,000$980,000$-------NoNo-------Lien
Alexis GendronWild (MIN)RW222003-12-30CANYes187 Lbs5 ft10NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,288,000$0$0$No1,288,000$1,288,000$-------1,288,000$1,288,000$-------NoNo-------Lien
Andrew MangiapaneWild (MIN)LW301996-04-04CANNo183 Lbs5 ft10NoNoN/ANoNo32025-10-17FalseFalsePro & Farm2,006,000$0$0$No2,006,000$2,006,000$-------2,006,000$2,006,000$-------NoNo-------Lien / Lien NHL
Arthur KaliyevWild (MIN)RW242001-06-26UZBNo210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,397,000$0$0$No1,397,000$--------859,667$--------No--------Lien
Arvid SoderblomWild (MIN)G261999-08-19SWENo180 Lbs6 ft3NoYesN/ANoNo32025-10-22FalseFalsePro & Farm2,543,000$0$0$No2,543,000$2,543,000$-------2,543,000$2,543,000$-------NoNo-------Lien
Brandon BussiWild (MIN)G271998-06-25USANo218 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,413,000$0$0$No1,413,000$--------750,000$--------No--------Lien
Brett BerardWild (MIN)LW232002-09-09USAYes175 Lbs5 ft9NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,422,000$0$0$No1,422,000$1,422,000$-------1,422,000$1,422,000$-------NoNo-------Lien
Brock FaberWild (MIN)D232002-08-22USANo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Carl LindbomWild (MIN)G232003-05-20SWEYes185 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm983,000$0$0$No983,000$983,000$-------983,000$983,000$-------NoNo-------Lien
Chad RuhwedelWild (MIN)D361990-05-07USANo189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,018,000$0$0$No---------------------------Lien / Lien NHL
Collin GrafWild (MIN)RW232002-09-21USAYes194 Lbs6 ft1NoNoFree AgentNoNo32025-11-18FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Dalibor DvorskyWild (MIN)RW202005-06-15SVKYes201 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,420,000$0$0$No1,420,000$1,420,000$-------1,420,000$1,420,000$-------NoNo-------Lien
Dylan SambergWild (MIN)D271999-01-24USANo216 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,450,000$0$0$No1,450,000$--------801,850$--------No--------Lien
JJ PeterkaWild (MIN)LW/RW242002-01-14GERNo189 Lbs6 ft0NoNoTrade2025-12-01NoNo32025-11-25FalseFalsePro & Farm2,999,999$0$0$No2,999,999$2,999,999$-------2,999,999$2,999,999$-------NoNo-------Lien
Jack DevineWild (MIN)RW222003-10-01USAYes185 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,285,000$0$0$No1,285,000$1,285,000$-------1,285,000$1,285,000$-------NoNo-------Lien
Jack DruryWild (MIN)C262000-02-03USANo186 Lbs5 ft11NoYesN/ANoNo32025-10-22FalseFalsePro & Farm1,701,000$0$0$No1,701,000$1,701,000$-------1,701,000$1,701,000$-------NoNo-------Lien
Jack ThompsonWild (MIN)D242002-03-19CANYes189 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm902,500$0$0$No---------------------------Lien
Jackson BlakeWild (MIN)RW222003-08-03USAYes178 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,487,000$0$0$No1,487,000$1,487,000$-------1,487,000$1,487,000$-------NoNo-------Lien
Jakub DobesWild (MIN)G252001-05-27CZEYes215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Jeremie PoirierWild (MIN)D242002-06-02CANNo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm833,333$0$0$No---------------------------Lien
Jonas SiegenthalerWild (MIN)D291997-05-06SUINo218 Lbs6 ft2NoYesN/ANoNo2FalseFalsePro & Farm1,933,000$0$0$No1,933,000$--------754,778$--------No--------Lien / Lien NHL
Josh FilmonWild (MIN)LW222004-03-18CANYes160 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,317,000$0$0$No1,317,000$1,317,000$-------1,317,000$1,317,000$-------NoNo-------Lien
Kirby DachWild (MIN)C/RW252001-01-21CANNo221 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,694,000$0$0$No---------------------------Lien
Lane HutsonWild (MIN)D222004-02-14USAYes162 Lbs5 ft9NoNoProspectNoNo32026-05-07FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Mark JankowskiWild (MIN)C/RW311994-09-13CANNo212 Lbs6 ft4NoYesN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien / Lien NHL
Marshall WarrenWild (MIN)D252001-04-20USAYes185 Lbs6 ft0NoNoFree AgentNoNo32025-11-25FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Mats LindgrenWild (MIN)D212004-08-26CANYes183 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,312,000$0$0$No1,312,000$1,312,000$-------1,312,000$1,312,000$-------NoNo-------Lien
Maveric LamoureuxWild (MIN)D222004-01-13CANYes196 Lbs6 ft6NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,410,000$0$0$No1,410,000$1,410,000$-------1,410,000$1,410,000$-------NoNo-------Lien
Niko HuuhtanenWild (MIN)RW222003-06-26FINYes198 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,292,000$0$0$No1,292,000$1,292,000$-------1,292,000$1,292,000$-------NoNo-------Lien
Pavel MintyukovWild (MIN)D222003-11-25RUSNo200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm918,333$0$0$No918,333$--------918,333$--------No--------Lien
Peyton KrebsWild (MIN)C/LW252001-01-26CANNo186 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,467,000$0$0$No1,467,000$--------909,372$--------No--------Lien
Samu TuomaalaWild (MIN)RW232003-01-08FINNo180 Lbs5 ft10NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,282,000$0$0$No1,282,000$1,282,000$-------1,282,000$1,282,000$-------NoNo-------Lien
Samuel FagemoWild (MIN)LW/RW262000-03-14SWENo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm891,000$0$0$No---------------------------Lien
Sean FarrellWild (MIN)C242001-11-02USANo175 Lbs5 ft9NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,411,000$0$0$No1,411,000$1,411,000$-------1,411,000$1,411,000$-------NoNo-------Lien
Stanislav SvozilWild (MIN)D232003-01-17CZENo192 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,134,000$0$0$No1,134,000$1,134,000$-------1,134,000$1,134,000$-------NoNo-------Lien
Trent MinerWild (MIN)G252001-02-05CANYes185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm828,333$0$0$No828,333$--------828,333$--------No--------Lien
Tye KartyeWild (MIN)C/LW/RW252001-04-30CANNo202 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Wyatt KaiserWild (MIN)D232002-07-31USANo173 Lbs6 ft0NoYesN/ANoNo1FalseFalsePro & Farm916,667$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3824.47192 Lbs6 ft12.291,311,452$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Peyton KrebsMark JankowskiJackson Blake32113
2JJ PeterkaKirby DachCollin Graf32113
3Andrew MangiapaneJack DruryTye Kartye26113
4Brett BerardSean FarrellDalibor Dvorsky10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan SambergJonas Siegenthaler35131
2Pavel MintyukovLane Hutson35014
3Wyatt KaiserBrock Faber30122
4Wyatt KaiserJonas Siegenthaler0131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1JJ PeterkaKirby DachCollin Graf60014
2Peyton KrebsMark JankowskiJackson Blake40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pavel MintyukovLane Hutson60014
2Wyatt KaiserBrock Faber40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mark JankowskiPeyton Krebs50131
2Jack DruryTye Kartye50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan SambergJonas Siegenthaler65131
2Wyatt KaiserBrock Faber35131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Peyton Krebs60122Dylan SambergJonas Siegenthaler60122
2Jack Drury40122Wyatt KaiserBrock Faber40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kirby DachJJ Peterka50122
2Peyton KrebsJackson Blake50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan SambergJonas Siegenthaler50122
2Pavel MintyukovLane Hutson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Peyton KrebsKirby DachJackson BlakeBrock FaberLane Hutson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Peyton KrebsMark JankowskiCollin GrafJonas SiegenthalerDylan Samberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jackson Blake, Tye Kartye, Peyton KrebsAndrew Mangiapane, Tye KartyeCollin Graf
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Samberg, Pavel Mintyukov, Wyatt KaiserDylan SambergPavel Mintyukov, Lane Hutson
Tirs de pénalité
Kirby Dach, JJ Peterka, Mark Jankowski, Peyton Krebs, Jackson Blake
Gardien
#1 : Arvid Soderblom, #2 : Jakub Dobes


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
1Admirals33000000152132200000010191100000051461.000152843011451231221111712291044108535429367112216.67%30100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
2Americans21100000880110000006421010000024-220.500814220014512312211691229104410853544232319111.11%10100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
3Barracuda2200000014113110000008171100000060641.0001426400114512312211871229104410853528786511218.18%4175.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
4Bears2020000058-31010000035-21010000023-100.00059140014512312211631229104410853566231244100.00%6266.67%01210210757.43%734129356.77%698128154.49%2048117414018191741857
5Bruins5400100022101221001000743330000001569101.000223557001451231221121112291044108535974438141100.00%14471.43%11210210757.43%734129356.77%698128154.49%2048117414018191741857
6Canucks5410000026151133000000197122110000078-180.800264470001451231221120912291044108535114365415117317.65%7271.43%01210210757.43%734129356.77%698128154.49%2048117414018191741857
7Checkers32100000642110000002022110000044040.667681401145123122119912291044108535622623871200.00%40100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
8Comets22000000945110000004131100000053241.0009152400145123122117812291044108535358763300.00%10100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
9Condors512011001920-1301011001214-22110000076150.50019304900145123122112011229104410853512753349918527.78%7185.71%01210210757.43%734129356.77%698128154.49%2048117414018191741857
10Crunch540001002010102100010065133000000145990.90020325200145123122112071229104410853594255413310220.00%12283.33%01210210757.43%734129356.77%698128154.49%2048117414018191741857
11Eagles2200000015781100000010371100000054141.00015223700145123122119012291044108535341518399222.22%4175.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
12Griffins21000010954100000103211100000063341.000912210014512312211801229104410853533122376500.00%4250.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
13Gulls540000102091132000010145922000000642101.00020315100145123122111981229104410853584283313220420.00%40100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
14Heat211000007611010000013-21100000063320.5007101700145123122115712291044108535451816598225.00%3166.67%11210210757.43%734129356.77%698128154.49%2048117414018191741857
15IceHogs220000001028110000008171100000021141.0001016260014512312211771229104410853540158413266.67%40100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
16Islanders210000101596110000009451000001065141.00015203500145123122117912291044108535641715466233.33%5180.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
17Marlies22000000532110000003211100000021141.00058130014512312211721229104410853534128526116.67%40100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
18Monsters22000000844110000006331100000021141.000812200014512312211721229104410853551194506116.67%2150.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
19Moose220000001156110000003211100000083541.0001117280014512312211881229104410853532122659444.44%110.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
20Penguins210000101055110000007341000001032141.0001014240014512312211811229104410853532147569222.22%10100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
21Phantoms330000001257220000006151100000064261.000121931011451231221110812291044108535581814918112.50%7357.14%01210210757.43%734129356.77%698128154.49%2048117414018191741857
22Reign2200000016881100000064211000000104641.00016264200145123122118712291044108535672314437342.86%2150.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
23Roadrunners220000001275110000005411100000073441.00012183000145123122118212291044108535672234668562.50%20100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
24Rocket220000001129110000007161100000041341.0001118290014512312211781229104410853546101367300.00%40100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
25Senators211000008441010000024-21100000060620.500814220114512312211651229104410853530519744125.00%20100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
26Silver Knights5410000027151232100000169722000000116580.800274673011451231221120612291044108535100239814222627.27%14564.29%11210210757.43%734129356.77%698128154.49%2048117414018191741857
27Stars330000001477110000006422200000083561.000142135001451231221112412291044108535541812755120.00%5180.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
28Thunderbirds2020000038-51010000013-21010000025-300.0003690014512312211581229104410853563311073400.00%50100.00%01210210757.43%734129356.77%698128154.49%2048117414018191741857
29Wolf Pack55000000291019220000007343300000022715101.000295079001451231221120312291044108535112342714516637.50%6183.33%01210210757.43%734129356.77%698128154.49%2048117414018191741857
30Wolves310000201275100000104312100001084461.000121729001451231221112112291044108535441712779222.22%6183.33%01210210757.43%734129356.77%698128154.49%2048117414018191741857
Total866412022603982101884330602230201106954334600030197104931460.84939863810360614512312211336712291044108535179961765523542616022.99%1443178.47%31210210757.43%734129356.77%698128154.49%2048117414018191741857
_Since Last GM Reset866412022603982101884330602230201106954334600030197104931460.84939863810360614512312211336712291044108535179961765523542616022.99%1443178.47%31210210757.43%734129356.77%698128154.49%2048117414018191741857
_Vs Conference50385022302351131222516302220120615925222000101155263880.8802353866210314512312211201312291044108535100232440913801433423.78%871879.31%21210210757.43%734129356.77%698128154.49%2048117414018191741857
_Vs Division2626402210129745515112022107643331115200000533122601.15412921334202145123122111045122910441085355651882576911032524.27%411173.17%21210210757.43%734129356.77%698128154.49%2048117414018191741857

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
86146W10398638103633671799617655235406
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8664122260398210
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
433062230201106
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
433460030197104
Derniers 10 matchs
WLOTWOTL SOWSOL
1000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2616022.99%1443178.47%3
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
1229104410853514512312211
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
1210210757.43%734129356.77%698128154.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2048117414018191741857


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
215Silver Knights6Wild2LSommaire du match
327Wild3Crunch2WSommaire du match
438Wild8Wolf Pack2WSommaire du match
553Condors5Wild6WXSommaire du match
776Wild4Stars2WSommaire du match
887Canucks3Wild7WSommaire du match
998Wild4Bruins2WSommaire du match
11119Phantoms1Wild2WSommaire du match
12139Wolf Pack2Wild4WSommaire du match
13155Stars4Wild6WSommaire du match
15169Wild3Gulls2WSommaire du match
16181Wild5Bruins3WSommaire du match
17200Gulls1Wild7WSommaire du match
18217Wild6Wolf Pack1WSommaire du match
19226Wild4Crunch1WSommaire du match
20239Crunch2Wild4WSommaire du match
22257Wild3Checkers2WSommaire du match
23272Wild4Stars1WSommaire du match
24279Senators4Wild2LSommaire du match
26303Barracuda1Wild8WSommaire du match
27320Wild2Monsters1WSommaire du match
28332Wild3Penguins2WXXSommaire du match
29339Marlies2Wild3WSommaire du match
31366Roadrunners4Wild5WSommaire du match
32386IceHogs1Wild8WSommaire du match
34408Americans4Wild6WSommaire du match
35421Wild2Americans4LSommaire du match
36440Heat3Wild1LSommaire du match
37451Wild2IceHogs1WSommaire du match
38469Penguins3Wild7WSommaire du match
40485Wild5Comets3WSommaire du match
41502Comets1Wild4WSommaire du match
42514Wild2Canucks5LSommaire du match
43531Wild4Rocket1WSommaire du match
44544Canucks3Wild5WSommaire du match
45557Wild6Phantoms4WSommaire du match
46573Wild6Griffins3WSommaire du match
47587Wolves3Wild4WXXSommaire du match
48605Phantoms0Wild4WSommaire du match
49623Thunderbirds3Wild1LSommaire du match
50634Wild2Thunderbirds5LSommaire du match
51655Griffins2Wild3WXXSommaire du match
52669Wild7Roadrunners3WSommaire du match
53685Wolf Pack1Wild3WSommaire du match
54702Moose2Wild3WSommaire du match
56714Wild6Bruins1WSommaire du match
57728Wild1Checkers2LSommaire du match
58747Gulls3Wild5WSommaire du match
59756Wild6Senators0WSommaire du match
60773Wild6Barracuda0WSommaire du match
62788Canucks1Wild7WSommaire du match
63802Wild5Canucks3WSommaire du match
65820Crunch3Wild2LXSommaire du match
66839Checkers0Wild2WSommaire du match
67847Wild10Reign4WSommaire du match
69869Wild6Heat3WSommaire du match
70882Bruins1Wild3WSommaire du match
72904Bears5Wild3LSommaire du match
73920Wild6Islanders5WXXSommaire du match
74934Condors4Wild2LSommaire du match
76952Wild5Admirals1WSommaire du match
78966Silver Knights0Wild6WSommaire du match
80993Wild5Wolves2WSommaire du match
81998Silver Knights3Wild8WSommaire du match
821023Wild3Wolves2WXXSommaire du match
831026Wild7Crunch2WSommaire du match
841037Bruins3Wild4WXSommaire du match
861058Wild2Bears3LSommaire du match
871073Condors5Wild4LXSommaire du match
881088Wild2Marlies1WSommaire du match
891099Eagles3Wild10WSommaire du match
901114Wild4Silver Knights2WSommaire du match
911129Gulls1Wild2WXXSommaire du match
921144Wild3Gulls2WSommaire du match
941161Islanders4Wild9WSommaire du match
951175Wild2Condors4LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971193Rocket1Wild7WSommaire du match
981199Wild8Wolf Pack4WSommaire du match
991218Wild8Moose3WSommaire du match
1001231Monsters3Wild6WSommaire du match
1021251Reign4Wild6WSommaire du match
1031255Wild5Eagles4WSommaire du match
1061285Admirals1Wild2WSommaire du match
1071295Wild7Silver Knights4WSommaire du match
1081310Wild5Condors2WSommaire du match
1111333Admirals0Wild8WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance84,93642,765
Assistance PCT98.76%99.45%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2970 - 98.99% 88,397$3,801,063$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
6,389,097$ 4,983,516$ 4,983,516$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
44,496$ 5,389,066$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 53,424$ 0$




Wild 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

Wild 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

Wild 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

Wild 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

Wild 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