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Mountaineers
GP: 13 | W: 8 | L: 5
GF: 43 | GA: 39 | PP%: 30.43% | PK%: 78.69%
DG: Martin | Morale : 98 | Moyenne d’équipe : N/A
Prochains matchs #88 vs Eagles

Centre de jeu
Mountaineers
8-5-0, 16pts
5
FINAL
3 White Wolves
6-5-0, 12pts
Team Stats
L1SéquenceL1
3-3-0Fiche domicile3-3-0
5-2-0Fiche domicile3-2-0
6-4-0Derniers 10 matchs5-4-1
3.31Buts par match 3.09
3.00Buts contre par match 2.91
30.43%Pourcentage en avantage numérique28.33%
78.69%Pourcentage en désavantage numérique76.92%
Mountaineers
8-5-0, 16pts
1
FINAL
3 Eagles
9-0-0, 18pts
Team Stats
L1SéquenceW9
3-3-0Fiche domicile5-0-0
5-2-0Fiche domicile4-0-0
6-4-0Derniers 10 matchs9-0-0
3.31Buts par match 4.22
3.00Buts contre par match 2.44
30.43%Pourcentage en avantage numérique27.78%
78.69%Pourcentage en désavantage numérique70.83%
Mountaineers
8-5-0, 16pts
Jour 32
Eagles
9-0-0, 18pts
Statistiques d’équipe
L1SéquenceW9
3-3-0Fiche domicile5-0-0
5-2-0Fiche visiteur4-0-0
6-4-010 derniers matchs9-0-0
3.31Buts par match 4.22
3.00Buts contre par match 4.22
30.43%Pourcentage en avantage numérique27.78%
78.69%Pourcentage en désavantage numérique70.83%
Eagles
9-0-0, 18pts
Jour 34
Mountaineers
8-5-0, 16pts
Statistiques d’équipe
W9SéquenceL1
5-0-0Fiche domicile3-3-0
4-0-0Fiche visiteur5-2-0
9-0-010 derniers matchs6-4-0
4.22Buts par match 3.31
2.44Buts contre par match 3.31
27.78%Pourcentage en avantage numérique30.43%
70.83%Pourcentage en désavantage numérique78.69%
Eagles
9-0-0, 18pts
Jour 36
Mountaineers
8-5-0, 16pts
Statistiques d’équipe
W9SéquenceL1
5-0-0Fiche domicile3-3-0
4-0-0Fiche visiteur5-2-0
9-0-010 derniers matchs6-4-0
4.22Buts par match 3.31
2.44Buts contre par match 3.31
27.78%Pourcentage en avantage numérique30.43%
70.83%Pourcentage en désavantage numérique78.69%
Meneurs d'équipe
Buts
Nathan Legare
8
Passes
Cale Fleury
11
Points
James Malatesta
15
Plus/Moins
Nathan Legare
5
Victoires
Devon Levi
6
Pourcentage d’arrêts
Devon Levi
0.913

Statistiques d’équipe
Buts pour
43
3.31 GFG
Tirs pour
376
28.92 Avg
Pourcentage en avantage numérique
30.4%
14 GF
Début de zone offensive
35.5%
Buts contre
39
3.00 GAA
Tirs contre
419
32.23 Avg
Pourcentage en désavantage numérique
78.7%%
13 GA
Début de la zone défensive
41.5%
Informations de l'équipe

Directeur généralMartin
EntraîneurPhil Housley
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,936
Billets de saison800


Informations de la formation

Équipe Pro30
Équipe Mineure21
Limite contact 51 / 65
Espoirs19


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
1Nathan LegareXX100.00735081647577936361626373655361081002321,378,125$
2Graeme ClarkeXX100.00606060606070706060606060605258088002311,023,750$
3Jagger FirkusXX100.00606060606070706060606060604756082002011,500,000$
4James MalatestaXX99.0073508463727783626161627365415608300211825,000$
5Fraser MintenX99.00775095757480877171656973654156090002011,250,000$
6Tucker RobertsonX100.0060606060607070606060606060415605800211825,000$
7Gabriel SzturcX100.0060606060607070606060606060415607100211850,000$
8Emmitt FinnieXXX100.0060606060607070606060606060405509001192650,000$
9Terik Parascak (R)X100.00606060606070706060606060604655085001831,500,000$
10Hunter DrewX99.00606060606070706060606060605561086002621,502,456$
11Cale FleuryX100.00675093737779866825706673655963078002611,185,119$
12Corson CeulemansX100.00606060606070706060606060604156084002111,500,000$
13Ben DexheimerX100.0060606060607070606060606060415608200221650,000$
14Hudson ThorntonX100.0060606060607070606060606060415607000211650,000$
15Hunter BrzustewiczX100.0062509370728592632565617065405508201202975,000$
16Dyllan GillX100.0060606060607070606060606060405507701202650,000$
17Harrison Brunicke (R)X100.00606060606070706060606060604655085001831,250,000$
Rayé
1Johnny GrudenX100.00606060606070706060606060605163041002411,074,938$
2Francesco ArcuriX95.3760606060607070606060606060415607900212735,000$
3Florian XhekajXX100.0060606060607070606060606060405508401202975,000$
4Shane Lachance (R)X100.0060606060607070606060606060445507900212750,000$
5Andre Gasseau (R)XX100.0060606060607070606060606060465507400212650,000$
6Samu Salminen (R)XX100.00606060606070706060606060604655084002121,250,000$
7Kenny Connors (R)X100.0060606060607070606060606060465507500212825,000$
8John ProkopX100.0060606060607070606060606060415603400231650,000$
MOYENNE D’ÉQUIPE99.686258666263727461586161626145570770
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
1Devon Levi96.877074747883717572786973445707300232735,000$
2Clay Stevenson100.006070706060606060606060476008300251735,000$
Rayé
1Riley Mercer100.006070706060606060606060405506600201750,000$
2Connor Ungar100.0060707060606060606060602206600221892,500$
3Matt Davis100.006070706060606060606060405507000232892,500$
MOYENNE D’ÉQUIPE99.20627171646562636264626335460720
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Phil Housley7774748166711USA651600,000$


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
1James MalatestaMountaineers (NJD)LW/RW137815460212246152515.22%631123.9854911340003421146.32%13668010.9600000400
2Fraser MintenMountaineers (NJD)C13510153151518196225388.06%1130923.801234320002462048.45%32264000.9700300122
3Emmitt FinnieMountaineers (NJD)C/LW/RW13571223620142228151817.86%1225019.281234320002402033.33%2134000.9600301002
4Cale FleuryMountaineers (NJD)D13011112001324221160%2029122.42044234000449000%0718000.7500000010
5Nathan LegareMountaineers (NJD)LW/RW1382105100111836101922.22%524318.732138330001190031.25%1643000.8200000002
6Terik ParascakMountaineers (NJD)C13641012410221624131925.00%925719.81224533000000069.23%1336000.7800110210
7Florian XhekajMountaineers (NJD)LW/RW9459-59513183292112.50%818020.0425710230001301051.28%3951001.0000100000
8Hunter DrewMountaineers (NJD)D13178037259141816105.56%2932925.36022136000140000%0612000.4900310000
9Hunter BrzustewiczMountaineers (NJD)D130774151512182711100%1933225.55000432000249000%0614000.4200021010
10Graeme ClarkeMountaineers (NJD)LW/RW133365101012251531120.00%419114.7200003000020053.33%12044000.6300101110
11Harrison BrunickeMountaineers (NJD)D1313401751211102310.00%1024719.02123534000042000%039000.3200100000
12Francesco ArcuriMountaineers (NJD)C13022-22315211212280%318113.9700000000030040.00%1022000.2200102000
13Jagger FirkusMountaineers (NJD)LW/RW13112-1405952220.00%0896.9100001100000100%100000.4500000000
14Gabriel SzturcMountaineers (NJD)C41121002292111.11%05614.1300000000001063.64%2200000.7100000000
15Kenny ConnorsMountaineers (NJD)C9112-460151518785.56%412814.2800000000000038.03%7115000.3100000000
16Corson CeulemansMountaineers (NJD)D1301131401434320%1220215.580000000008000%027000.1000000000
17Johnny GrudenMountaineers (NJD)C9000-100420000%0283.2000001000060033.33%61000000000000
18Tucker RobertsonMountaineers (NJD)C4000000021000%0164.100000000000000%10000000000000
19Ben DexheimerMountaineers (NJD)D13000-21759117510%718314.080000000002000%03200000001000
20Hudson ThorntonMountaineers (NJD)D4000020100000%082.070000000000000%00000000000000
21Dyllan GillMountaineers (NJD)D4000000000000%000.230000000000000%00000000000000
22Samu SalminenMountaineers (NJD)C/LW9000000100000%010.110000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne23443731161524512522926337615120211.44%159384216.4214243854344000163868147.69%7786299010.60001446866
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
1Devon LeviMountaineers (NJD)126400.9132.9862500313561810000112011
2Clay StevensonMountaineers (NJD)31100.8532.8610500534190000210000
3Matt DavisMountaineers (NJD)11000.8973.16570032915100001000
Statistiques d’équipe totales ou en moyenne168500.9072.9778800394192151001313011


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
Andre GasseauMountaineers (NJD)C/LW212003-07-03USAYes218 Lbs6 ft2NoNoProspectNoNo22025-08-20FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$--------650,000$--------No--------
Ben DexheimerMountaineers (NJD)D222002-06-21USANo165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Cale FleuryMountaineers (NJD)D261998-11-19CANNo204 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,185,119$338,605$118,512$33,861$No---------------------------
Clay StevensonMountaineers (NJD)G251999-03-03CANNo194 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm735,000$210,000$73,500$21,000$No---------------------------
Connor UngarMountaineers (NJD)G222002-01-12CANNo196 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm892,500$255,000$89,250$25,500$No---------------------------
Corson CeulemansMountaineers (NJD)D212003-05-05CANNo188 Lbs7 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No---------------------------
Devon LeviMountaineers (NJD)G232001-12-27CANNo192 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm735,000$210,000$73,500$21,000$No735,000$--------735,000$--------No--------
Dyllan GillMountaineers (NJD)D202004-06-07CANNo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$--------650,000$--------No--------
Emmitt FinnieMountaineers (NJD)C/LW/RW192005-06-27CANNo183 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$--------650,000$--------No--------
Florian XhekajMountaineers (NJD)LW/RW202004-06-27CANNo190 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm975,000$278,571$97,500$27,857$No975,000$--------975,000$--------No--------
Francesco ArcuriMountaineers (NJD)C212003-06-13CANNo201 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm735,000$210,000$73,500$21,000$No735,000$--------735,000$--------No--------
Fraser MintenMountaineers (NJD)C202004-07-05CANNo195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No---------------------------
Gabriel SzturcMountaineers (NJD)C212003-09-24CZENo176 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm850,000$242,857$85,000$24,286$No---------------------------
Graeme ClarkeMountaineers (NJD)LW/RW232001-04-24USANo175 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$292,500$102,375$29,250$No---------------------------
Harrison BrunickeMountaineers (NJD)D182006-05-08RSAYes100 Lbs4 ft0NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Hudson ThorntonMountaineers (NJD)D212003-11-04CANNo192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Hunter BrzustewiczMountaineers (NJD)D202004-11-29USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm975,000$278,571$97,500$27,857$No975,000$--------975,000$--------No--------
Hunter DrewMountaineers (NJD)D261998-10-21CANNo191 Lbs6 ft2NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,502,456$429,273$150,246$42,927$No1,502,456$--------1,502,456$--------No--------
Jagger FirkusMountaineers (NJD)LW/RW202004-04-29CANNo154 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No---------------------------
James MalatestaMountaineers (NJD)LW/RW212003-05-31CANNo193 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm825,000$235,714$82,500$23,571$No---------------------------
John ProkopMountaineers (NJD)D232001-05-13USANo185 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Johnny GrudenMountaineers (NJD)C242000-05-04USANo172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,074,938$307,125$107,494$30,713$No---------------------------
Kenny ConnorsMountaineers (NJD)C212003-05-10USAYes207 Lbs6 ft0NoNoProspectNoNo22025-08-20FalseFalsePro & Farm825,000$235,714$82,500$23,571$No825,000$--------825,000$--------No--------
Matt DavisMountaineers (NJD)G232001-06-16CANNo194 Lbs6 ft1NoNoFree AgentNoNo22025-09-08FalseFalsePro & Farm892,500$255,000$89,250$25,500$No892,500$--------892,500$--------No--------
Nathan LegareMountaineers (NJD)LW/RW232001-01-11CANNo200 Lbs6 ft0NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,378,125$393,750$137,812$39,375$No1,378,125$--------1,378,125$--------No--------
Riley MercerMountaineers (NJD)G202004-03-31CANNo203 Lbs6 ft2NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm750,000$214,286$75,000$21,429$No---------------------------
Samu SalminenMountaineers (NJD)C/LW212003-04-09FINYes185 Lbs6 ft0NoNoProspectNoNo22025-08-20FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No1,250,000$--------1,250,000$--------No--------
Shane LachanceMountaineers (NJD)LW212003-08-30USAYes218 Lbs6 ft3NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$214,286$75,000$21,429$No750,000$--------750,000$--------No--------
Terik ParascakMountaineers (NJD)C182006-05-02CANYes181 Lbs5 ft10NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Tucker RobertsonMountaineers (NJD)C212003-06-22CANNo178 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm825,000$235,714$82,500$23,571$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3021.50187 Lbs6 ft11.57969,313$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan LegareFraser MintenJames Malatesta28122
2Emmitt FinnieGraeme ClarkeTerik Parascak28122
3Jagger FirkusGabriel Szturc25122
4James MalatestaFraser MintenTerik Parascak19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Corson CeulemansCale Fleury28122
2Ben DexheimerHunter Drew28122
3Hunter BrzustewiczHarrison Brunicke25122
4Hunter BrzustewiczHunter Drew19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan LegareFraser MintenTerik Parascak50122
2Jagger FirkusJames MalatestaEmmitt Finnie50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryHunter Drew50122
2Hunter BrzustewiczHarrison Brunicke50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1James MalatestaFraser Minten50122
2Nathan LegareEmmitt Finnie50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter DrewHarrison Brunicke50122
2Hunter BrzustewiczCale Fleury50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Emmitt Finnie50122Cale FleuryHunter Brzustewicz50122
2Fraser Minten50122Corson CeulemansHunter Drew50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1James MalatestaEmmitt Finnie50122
2Fraser MintenNathan Legare50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczHunter Drew50122
2Cale FleuryHarrison Brunicke50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan LegareFraser MintenJames MalatestaHunter BrzustewiczHunter Drew
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan LegareFraser MintenJames MalatestaHunter BrzustewiczHunter Drew
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Fraser Minten, Emmitt Finnie, James MalatestaFraser Minten, Emmitt FinnieFraser Minten
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter Brzustewicz, Cale Fleury, Hunter DrewHunter DrewHunter Brzustewicz, Hunter Drew
Tirs de pénalité
Terik Parascak, Fraser Minten, James Malatesta, Emmitt Finnie, Nathan Legare
Gardien
#1 : Devon Levi, #2 : Clay Stevenson


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
1Eagles1010000013-2000000000001010000013-200.00011200514222197315414094015811200.00%40100.00%013927650.36%14332344.27%8917949.72%242106268134279141
2Redhawks642000002021-132100000910-1321000001111080.66720365600514222194731541409235758911525936.00%23386.96%013927650.36%14332344.27%8917949.72%242106268134279141
3White Wolves64200000221573120000099033000000136780.667223658005142221637315414091446914810319526.32%341070.59%013927650.36%14332344.27%8917949.72%242106268134279141
Total13850000043394633000001819-17520000025205160.615437311600514222376731541409419159245229461430.43%611378.69%013927650.36%14332344.27%8917949.72%242106268134279141
_Since Last GM Reset13850000043394633000001819-17520000025205160.615437311600514222376731541409419159245229461430.43%611378.69%013927650.36%14332344.27%8917949.72%242106268134279141
_Vs Conference13850000043394633000001819-17520000025205160.615437311600514222376731541409419159245229461430.43%611378.69%013927650.36%14332344.27%8917949.72%242106268134279141
_Vs Division643000002021-132100000910-1322000001111080.66720365600514222194731541409235758911525936.00%23386.96%013927650.36%14332344.27%8917949.72%242106268134279141

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1316L1437311637641915924522900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
138500004339
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300001819
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
75200002520
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
461430.43%611378.69%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
731541409514222
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
13927650.36%14332344.27%8917949.72%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
242106268134279141


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
26Redhawks2Mountaineers4WSommaire du match
414Redhawks6Mountaineers2LSommaire du match
622Mountaineers6Redhawks5WXSommaire du match
830Mountaineers1Redhawks3LSommaire du match
1038Redhawks2Mountaineers3WSommaire du match
1246Mountaineers4Redhawks3WXSommaire du match
1660White Wolves5Mountaineers1LSommaire du match
1864White Wolves1Mountaineers6WSommaire du match
2068Mountaineers4White Wolves2WSommaire du match
2272Mountaineers4White Wolves1WSommaire du match
2476White Wolves3Mountaineers2LSommaire du match
2680Mountaineers5White Wolves3WSommaire du match
3086Mountaineers1Eagles3LSommaire du match
3288Mountaineers-Eagles-
3490Eagles-Mountaineers-
3692Eagles-Mountaineers-
3894Mountaineers-Eagles-
4096Eagles-Mountaineers-
4298Mountaineers-Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3414
Assistance15,00032,618
Assistance PCT100.00%98.84%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 7936 - 99.20% 193,330$1,159,982$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,907,939$ 2,907,939$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 30 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 12 0$ 0$




Mountaineers 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

Mountaineers 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

Mountaineers 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

Mountaineers 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

Mountaineers 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