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Connexion

Wild
GP: 19 | W: 16 | L: 3
GF: 93 | GA: 48 | PP%: 26.56% | PK%: 68.42%
DG: Kevin Klippenstein | Morale : 99 | Moyenne d’équipe : 64

Centre de jeu
Wild
16-3-0, 32pts
4
1 Stars
12-7-0, 24pts
Team Stats
W5SéquenceL4
9-2-0Fiche domicile6-4-0
7-1-0Fiche domicile6-3-0
9-1-0Derniers 10 matchs5-5-0
4.89Buts par match 4.11
2.53Buts contre par match 3.47
26.56%Pourcentage en avantage numérique26.42%
68.42%Pourcentage en désavantage numérique81.58%
Wild
16-3-0, 32pts
3
1 Stars
12-7-0, 24pts
Team Stats
W5SéquenceL4
9-2-0Fiche domicile6-4-0
7-1-0Fiche domicile6-3-0
9-1-0Derniers 10 matchs5-5-0
4.89Buts par match 4.11
2.53Buts contre par match 3.47
26.56%Pourcentage en avantage numérique26.42%
68.42%Pourcentage en désavantage numérique81.58%
Meneurs d'équipe
Buts
Jackson Blake
20
Passes
JJ Peterka
22
Points
Jackson Blake
30
Mark JankowskiPlus/Moins
Mark Jankowski
14
Victoires
Arvid Soderblom
8
Pourcentage d’arrêts
Jakub Dobes
0.911

Statistiques d’équipe
Buts pour
93
4.89 GFG
Tirs pour
801
42.16 Avg
Pourcentage en avantage numérique
26.6%
17 GF
Début de zone offensive
42.9%
Buts contre
48
2.53 GAA
Tirs contre
486
25.58 Avg
Pourcentage en désavantage numérique
68.4%%
6 GA
Début de la zone défensive
27.7%
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
Assistance3,000
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 PeterkaXX100.0063418781717894863089886169676775997502432,999,999$
2Kirby DachXX100.0086468182847074805471786180696966997102511,694,000$
3Peyton KrebsXX100.0084767981716698717773697225706965997002521,467,000$
4Jack DruryX100.00664292866863897194676574256667639969X02631,701,000$
5Collin Graf (R)X100.0067429382747288713568727925515068996902331,000,000$
6Mark JankowskiXX100.00655485778063776581647477257373669968X03111,500,000$
7Jackson Blake (R)X100.0058409075676697794571776225595866996802231,487,000$
8Andrew Mangiapane (A)X100.0074429279656498703665736425757666996803032,006,000$
9Tye KartyeXXX100.009556817774548362316163672563636299650251750,000$
10Brett Berard (R)X100.0080439486655782593860706225505066996402331,422,000$
11Dalibor Dvorsky (R)X100.0078748970777578625058636461484763996302131,420,000$
12Arthur KaliyevX100.0065439573785846612557725875626366376102521,397,000$
13Brock FaberX100.006452928877939778256253842564646499750231925,000$
14Lane Hutson (R)X100.0063418999618699822579537225585864977302231,000,000$
15Dylan SambergX100.0072448872818277632559509225666763997202721,450,000$
16Pavel MintyukovX100.007844917577728570255953822563626099710222918,333$
17Jonas Siegenthaler (A)X100.00814578727978726325525089257273599971X02921,933,000$
18Wyatt KaiserX100.00734293766775916225484885256059599969X0231916,667$
Rayé
1Samuel FagemoXX100.007773866973788262505368656545456625620261891,000$
2Sean FarrellX100.0072629469637883617859596357454563686102431,411,000$
3Samu TuomaalaX100.0070658166656364625061606257444462265902331,282,000$
4Alexis Gendron (R)X100.0070667966667479565046626059444462265802231,288,000$
5Niko Huuhtanen (R)X100.0074747365746466565052566253444460265702331,292,000$
6Jack Devine (R)X100.0055409980682848602550556525444458265502231,285,000$
7Josh Filmon (R)X100.0071629360625761445038445842444451265002231,317,000$
8Maveric Lamoureux (R)X100.0079993275836972602550507025484756836402231,410,000$
9Jack Thompson (R)X100.006341897470687566255454722548486225630241902,500$
10Chad RuhwedelX100.0070677672676771532546416539687055266103611,018,000$
11Jeremie PoirierX100.007271756771798654255241613944445626600241833,333$
12Stanislav SvozilX100.0074708465707278512547416139444454265902331,134,000$
13Marshall Warren (R)X100.007268806468495050254341603944445126540253800,000$
14Mats Lindgren (R)X100.0068676980673433412528395537444447265102131,312,000$
MOYENNE D’ÉQUIPE100.00725684757167776340585968395656616864
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)100.00675453867165736977687546466799660251925,000$
2Arvid Soderblom100.0063666473656178616763455656649965X02632,543,000$
Rayé
1Trent Miner (R)100.00635265706464697269693044446535630252828,333$
2Aleksei Kolosov (R)100.00605453706554696165607545456136590243980,000$
3Carl Lindbom (R)100.00595164706364576465633044446036590233983,000$
4Brandon Bussi100.005550639057615359615930444457365802821,413,000$
MOYENNE D’ÉQUIPE100.0061556077646267646764484747625762
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
1Jackson BlakeWild (MIN)RW192010301140161896254920.83%534918.417181650000002145.45%22166011.7100000412
2JJ PeterkaWild (MIN)LW/RW19622281110018167421358.11%734418.15167850000010034.78%23165001.6200000014
3Kirby DachWild (MIN)C/RW191510251120521866234222.73%534518.20426949000032049.86%35598001.4500000411
4Lane HutsonWild (MIN)D193172014005358328283.61%1541421.79134126300001010%02215000.9700000011
5Peyton KrebsWild (MIN)C/LW195141911171540216422497.81%735618.78134950000081051.52%33196001.0600201120
6Andrew MangiapaneWild (MIN)LW198917520251356135114.29%525113.2400002000012044.44%977001.3500000202
7Collin GrafWild (MIN)RW197916115520273951917.95%1035018.45134549000151031.25%1647000.9100001020
8Mark JankowskiWild (MIN)C/RW19610161420182940101915.00%235718.820664450000121064.35%34563000.8900000020
9Jack DruryWild (MIN)C194101450019215331387.55%926113.77000000001143061.20%183214001.0700000011
10Brock FaberWild (MIN)D192101290011263018156.67%1236119.04123339000010200%056000.6600000000
11Tye KartyeWild (MIN)C/LW/RW195510-1404292392221.74%722411.8000002000080043.59%3961000.8900000020
12Brett BerardWild (MIN)LW19551070015341102512.20%01688.8900000000001050.00%2102011.1800000110
13Pavel MintyukovWild (MIN)D192791414103241329116.25%2141021.5810146200001000%0411000.4400200010
14Jonas SiegenthalerWild (MIN)D1925711195322420111210.00%1936219.0700000000016000%0112000.3900100011
15Dalibor DvorskyWild (MIN)RW19246720218264147.69%21759.2100001000001037.50%812000.6900000001
16Wyatt KaiserWild (MIN)D1906610201920177100%1836219.07011239000010000%0110000.3300000000
17Sean FarrellWild (MIN)C10022600616440%2919.1900000000000057.69%2610000.4400000000
18Dylan SambergWild (MIN)D190221000163823970%2036819.3700000000017000%0414000.1100000000
19Arthur KaliyevWild (MIN)RW81015005857520.00%310513.2400000000000050.00%431000.1900000001
20William EklundWildC/LW/RW1000-100227020%01919.630000400000000%10000000000000
Statistiques d’équipe totales ou en moyenne34293157250170833541437880126645711.61%169568216.6217274472513000211216255.63%1066156120020.8800502121614
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)118110.8912.5561300262381370000109000
2Jakub DobesWild (MIN)108100.9112.5052800222481291000910200
Statistiques d’équipe totales ou en moyenne2116210.9012.52114100484862661001919200


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)RW252001-06-26UZBNo210 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)G281998-06-25USANo218 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)RW212005-06-15SVKYes201 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)RW232003-06-26FINYes198 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
3824.58192 Lbs6 ft12.291,311,452$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Peyton KrebsMark JankowskiJackson Blake32014
2JJ PeterkaKirby DachCollin Graf32014
3Andrew MangiapaneJack DruryArthur Kaliyev26131
4Brett BerardTye KartyeDalibor 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
1Peyton KrebsMark JankowskiJackson Blake60014
2JJ PeterkaKirby DachCollin Graf40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pavel MintyukovLane Hutson60014
2Wyatt KaiserBrock Faber40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack DruryMark Jankowski60131
2Tye KartyeCollin Graf40041
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
JJ PeterkaPeyton KrebsJackson 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 : Jakub Dobes, #2 : Arvid Soderblom


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
1Condors54100000201193210000013762200000074380.800203353003133290206269284248010941249717423.53%2150.00%025945756.67%16629556.27%16831453.50%456272321167364188
2Rocket541000002516933000000197122110000069-380.8002544690031332902182692842480120401010318316.67%5260.00%025945756.67%16629556.27%16831453.50%456272321167364188
3Senators54100000301218321000002091122000000103780.8003050800031332902182692842480117484113418844.44%8275.00%025945756.67%16629556.27%16831453.50%456272321167364188
4Stars4400000018992200000011742200000072581.00018304800313329015926928424801404088011218.18%4175.00%025945756.67%16629556.27%16831453.50%456272321167364188
Total191630000093484511920000063303387100000301812320.84293157250003133290801269284248048616983414641726.56%19668.42%025945756.67%16629556.27%16831453.50%456272321167364188
_Since Last GM Reset191630000093484511920000063303387100000301812320.84293157250003133290801269284248048616983414641726.56%19668.42%025945756.67%16629556.27%16831453.50%456272321167364188
_Vs Conference1512300000753936972000005223296510000023167240.80075127202003133290642269284248034612975334531528.30%15566.67%025945756.67%16629556.27%16831453.50%456272321167364188
_Vs Division54100000201193210000013762200000074380.800203353003133290206269284248010941249717423.53%2150.00%025945756.67%16629556.27%16831453.50%456272321167364188

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1932W5931572508014861698341400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1916300009348
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
119200006330
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
87100003018
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
641726.56%19668.42%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
26928424803133290
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
25945756.67%16629556.27%16831453.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
456272321167364188


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
11Senators6Wild5LXSommaire du match
39Senators2Wild8WSommaire du match
517Wild3Senators2WSommaire du match
725Wild7Senators1WSommaire du match
933Senators1Wild7WSommaire du match
1557Condors4Wild3LSommaire du match
1761Condors2Wild3WSommaire du match
1965Wild3Condors2WSommaire du match
2169Wild4Condors2WSommaire du match
2373Condors1Wild7WSommaire du match
2985Rocket1Wild5WSommaire du match
3187Rocket2Wild8WSommaire du match
3389Wild3Rocket2WSommaire du match
3591Wild3Rocket7LSommaire du match
3793Rocket4Wild6WSommaire du match
4399Stars4Wild7WSommaire du match
44100Stars3Wild4WSommaire du match
45101Wild4Stars1WSommaire du match
46102Wild3Stars1WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance22,00011,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 3000 - 100.00% 89,400$983,400$3000100

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

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