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Connexion

LAS CRUCES MESCALEROS
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Peter S | Morale : 80 | Moyenne d’équipe : 63
Prochains matchs #4 vs PHILADELPHIA PHANTOMS

PHILADELPHIA PHANTOMS
0-0-0, 0pts
Jour 1
LAS CRUCES MESCALEROS
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
LAS CRUCES MESCALEROS
0-0-0, 0pts
Jour 2
BANGOR PUPPIES
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
CHICAGO UNDERTAKERS
0-0-0, 0pts
Jour 4
LAS CRUCES MESCALEROS
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPeter S
EntraîneurJim Playfair
DivisionAdams
ConférenceNeid Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité6,000
Assistance
Billets de saison600


Informations de la formation

Équipe Pro36
Équipe Mineure23
Limite contact 59 / 66
Espoirs0


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
1Nils HöglanderXX100.0016193948994938460817966589788080772252650,000$
2Viktor TikhonovX100.0011996574628483898080828099900807223811,200,000$
3Brad MaloneXX100.003624996375707781508483646199990807223711,100,000$
4Daniel SprongXX100.0031996878918473398383556595910807122931,225,000$
5Alexey ToropchenkoXXX100.0044190787996926946646555599477080682274800,000$
6Samuel Honzek (R)X100.0010199828283806954666761618075080671211900,000$
7Oliver Kapanen (R)X100.001199838284786755676558567074080662231600,000$
8Jani Nyman (R)X100.0041392788374706860686761667860080652223800,000$
9Filip Mesar (R)XXX100.0022680717164695967565353657082080591223800,000$
10Ilya Fedotov (R)X100.0023199697570745659565248687276080592234600,000$
11Tanner Ludtke (R)X100.00404555707559635552555362526366080582211500,000$
12Brock Faber (R)X100.00652584929299978844817168499175080782233700,000$
13Sean DurziX100.002350727878868880448864644990830807022721,200,000$
14Tanner Molendyk (R)X100.00524262767975766650635964557178080661211800,000$
15Noah Warren (R)X100.00334082668060736144595763486672080612223900,000$
16Michael Fischer (R)X100.00574571647764734144525060456065080592223600,000$
Rayé
1Cullen Potter (R)X100.00191090737169686566646367586467080631193900,000$
2Artyom GalimovXX100.00261977072716964676357596873720806222600$
3William Zellers (R)X100.0095161697163666363606258566761080602202650,000$
4Hayden Paupanekis (R)X100.00181861707369706169655857526264080602193800,000$
5Florian Xhekaj (R)X100.00436373777768695952555357546653080592221800,000$
6Kasper Simontaival (R)XXX100.008199647161685850595853457168080582241600,000$
7Hiroki Gojsic (R)X100.00432671626866625948585756545861080582202600,000$
8Logan Sawyer (R)X100.00165565687262595449555456535661080562202700,000$
9Cameron HillisX100.002412886775606153695351545576690805622700$
10Sam Stange (R)X100.007181667459665254545357515859080552241600,000$
11Bill ArnoldXXX100.00122278556041482738262842435059080402341545,000$
12Radim Mrtka (R)X100.007265777265636662446560685064600806411931,000,000$
13Leon Muggli (R)X100.00271492736960676244575861475765080602202800,000$
14Mattias Norlinder (R)X100.00351995977536751445644614878720805822500$
15Jack Peart (R)X100.00373796617854654739464657447279080572234600,000$
16Caden Price (R)X100.00321151637765655244504858455560080572211700,000$
MOYENNE D’ÉQUIPE100.0027218371766972625362596055737108062
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
1Zachary Fucale100.00677673787371777977666693890807413111,200,000$
2Jesper Wallstedt (R)100.0066687684708277788065607868080741234800,000$
Rayé
1Michael DiPietro100.0058636482636062656460587371080642271600,000$
2Dylan Garand (R)100.0059595684665962596058556066080622244600,000$
MOYENNE D’ÉQUIPE100.006367678268687070706260767408069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Playfair89889980999949CAN5842,157,000$


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
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


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Alexey ToropchenkoLAS CRUCES MESCALEROS (SPU)C/LW/RW271999-06-25RUSNo195 Lbs6 ft3NoNoN/ANoNo42025-06-12FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$800,000$800,000$------40,000$40,000$40,000$------NoNoNo------
Artyom GalimovLAS CRUCES MESCALEROS (SPU)C/LW261999-09-08RUSNo181 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Bill ArnoldLAS CRUCES MESCALEROS (SPU)C/LW/RW341992-05-13USANo236 Lbs6 ft0NoNoN/ANoNo12024-06-10FalseFalsePro & Farm545,000$545,000$54,500$54,500$No---------------------------
Brad MaloneLAS CRUCES MESCALEROS (SPU)C/LW371989-08-11CANNo201 Lbs6 ft0NoNoN/ANoNo12024-06-10FalseFalsePro & Farm1,100,000$1,100,000$110,000$110,000$No---------------------------
Brock Faber LAS CRUCES MESCALEROS (SPU)D232002-08-22USAYes204 Lbs6 ft1NoNoTrade2025-12-01NoNo32024-06-09FalseFalsePro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Caden PriceLAS CRUCES MESCALEROS (SPU)D212005-06-01CANYes210 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm700,000$700,000$70,000$70,000$No---------------------------
Cameron HillisLAS CRUCES MESCALEROS (SPU)C271999-06-01CANNo195 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Cullen Potter (sur la masse salariale)LAS CRUCES MESCALEROS (SPU)C192007-01-10USAYes172 Lbs5 ft10NoNoAssign ManuallyNoNo32026-06-17FalseFalsePro & Farm900,000$900,000$0$0$Yes900,000$900,000$-------40,000$40,000$-------NoNo-------
Daniel SprongLAS CRUCES MESCALEROS (SPU)LW/RW291997-03-17NLDNo210 Lbs6 ft2NoNoN/ANoNo32026-02-06FalseFalsePro & Farm1,225,000$1,225,000$122,500$122,500$No1,225,000$1,225,000$-------40,000$40,000$-------NoNo-------
Dylan Garand LAS CRUCES MESCALEROS (SPU)G242002-06-07CANYes231 Lbs6 ft4NoNoN/ANoNo42025-06-12FalseFalsePro & Farm600,000$600,000$60,000$60,000$No600,000$600,000$600,000$------40,000$40,000$40,000$------NoNoNo------
Filip MesarLAS CRUCES MESCALEROS (SPU)C/LW/RW222004-01-03SLOYes184 Lbs6 ft0NoNoN/ANoNo32026-06-06FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Florian XhekajLAS CRUCES MESCALEROS (SPU)LW222004-06-27CANYes195 Lbs6 ft6NoNoAssign ManuallyNoNo12024-07-04FalseFalsePro & Farm800,000$800,000$80,000$80,000$No---------------------------
Hayden Paupanekis (sur la masse salariale)LAS CRUCES MESCALEROS (SPU)C192007-06-01CANYes180 Lbs6 ft0NoNoAssign ManuallyNoNo32026-06-19FalseFalsePro & Farm800,000$800,000$0$0$Yes800,000$800,000$-------40,000$40,000$-------NoNo-------
Hiroki GojsicLAS CRUCES MESCALEROS (SPU)RW202006-05-01CANYes214 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-20FalseFalsePro & Farm600,000$600,000$60,000$60,000$No600,000$--------40,000$--------No--------
Ilya FedotovLAS CRUCES MESCALEROS (SPU)LW232003-03-19RUSYes191 Lbs6 ft3NoNoN/ANoNo42025-06-12FalseFalsePro & Farm600,000$600,000$60,000$60,000$No600,000$600,000$600,000$------40,000$40,000$40,000$------NoNoNo------
Jack PeartLAS CRUCES MESCALEROS (SPU)D232003-06-01USAYes213 Lbs6 ft2NoNoTrade2024-02-24NoNo42025-06-12FalseFalsePro & Farm600,000$600,000$60,000$60,000$No600,000$600,000$600,000$------40,000$40,000$40,000$------NoNoNo------
Jani NymanLAS CRUCES MESCALEROS (SPU)RW222004-06-01FINYes190 Lbs6 ft4NoNoN/ANoNo32026-06-06FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Jesper WallstedtLAS CRUCES MESCALEROS (SPU)G232002-11-14SWEYes229 Lbs6 ft5NoNoN/ANoNo42025-06-12FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$800,000$800,000$------40,000$40,000$40,000$------NoNoNo------
Kasper SimontaivalLAS CRUCES MESCALEROS (SPU)C/LW/RW242002-01-11FINYes188 Lbs5 ft9NoNoN/ANoNo12024-06-10FalseFalsePro & Farm600,000$600,000$60,000$60,000$No---------------------------
Leon MuggliLAS CRUCES MESCALEROS (SPU)D202006-07-09SUIYes178 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-14FalseFalsePro & Farm800,000$800,000$80,000$80,000$No800,000$--------40,000$--------No--------
Logan SawyerLAS CRUCES MESCALEROS (SPU)LW202006-06-01CANYes183 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm700,000$700,000$70,000$70,000$No700,000$--------40,000$--------No--------
Mattias NorlinderLAS CRUCES MESCALEROS (SPU)D252001-06-01SWEYes220 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Michael DiPietroLAS CRUCES MESCALEROS (SPU)G271999-06-09CANNo224 Lbs6 ft2NoNoTrade2024-02-24NoNo12025-06-12FalseFalsePro & Farm600,000$600,000$60,000$60,000$No---------------------------
Michael Fischer LAS CRUCES MESCALEROS (SPU)D222004-06-01USAYes206 Lbs6 ft3NoNoN/ANoNo32026-06-06FalseFalsePro & Farm600,000$600,000$60,000$60,000$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Nils HöglanderLAS CRUCES MESCALEROS (SPU)LW/RW252000-12-20SWENo200 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm650,000$650,000$65,000$65,000$No650,000$--------40,000$--------No--------
Noah WarrenLAS CRUCES MESCALEROS (SPU)D222004-06-01CANYes211 Lbs6 ft6NoNoTrade2024-09-20NoNo32026-06-06FalseFalsePro & Farm900,000$900,000$90,000$90,000$No900,000$900,000$-------40,000$40,000$-------NoNo-------
Oliver KapanenLAS CRUCES MESCALEROS (SPU)C232003-07-29SWEYes180 Lbs6 ft2NoNoTrade2025-12-01NoNo12025-06-16FalseFalsePro & Farm600,000$600,000$60,000$60,000$No---------------------------
Radim Mrtka (sur la masse salariale)LAS CRUCES MESCALEROS (SPU)D192007-06-09CZEYes207 Lbs6 ft6NoNoAssign ManuallyNoNo32026-06-15FalseFalsePro & Farm1,000,000$1,000,000$0$0$Yes1,000,000$1,000,000$-------40,000$40,000$-------NoNo-------
Sam Stange LAS CRUCES MESCALEROS (SPU)RW242002-06-01USAYes196 Lbs6 ft0NoNoN/ANoNo12024-06-10FalseFalsePro & Farm600,000$600,000$60,000$60,000$No---------------------------
Samuel HonzekLAS CRUCES MESCALEROS (SPU)LW212004-11-12SLOYes194 Lbs6 ft5NoNoAssign ManuallyNoNo12024-07-02FalseFalsePro & Farm900,000$900,000$90,000$90,000$No---------------------------
Sean DurziLAS CRUCES MESCALEROS (SPU)D271998-10-21CANNo201 Lbs6 ft0NoNoN/ANoNo22025-06-12FalseFalsePro & Farm1,200,000$1,200,000$120,000$120,000$No1,200,000$--------40,000$--------No--------
Tanner LudtkeLAS CRUCES MESCALEROS (SPU)C212005-06-01USAYes191 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-09FalseFalsePro & Farm500,000$500,000$50,000$50,000$No---------------------------
Tanner MolendykLAS CRUCES MESCALEROS (SPU)D212005-02-03CANYes191 Lbs6 ft1NoNoTrade2025-12-01NoNo12024-07-04FalseFalsePro & Farm800,000$800,000$80,000$80,000$No---------------------------
Viktor TikhonovLAS CRUCES MESCALEROS (SPU)C381988-08-08RUSNo196 Lbs6 ft0NoNoN/ANoNo12025-06-12FalseFalsePro & Farm1,200,000$1,200,000$120,000$120,000$No---------------------------
William ZellersLAS CRUCES MESCALEROS (SPU)C202006-06-01USAYes184 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-18FalseFalsePro & Farm650,000$650,000$65,000$65,000$No650,000$--------40,000$--------No--------
Zachary FucaleLAS CRUCES MESCALEROS (SPU)G311995-05-28CANNo200 Lbs6 ft3NoNoN/ANoNo12025-06-12FalseFalsePro & Farm1,200,000$1,200,000$120,000$120,000$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3624.19199 Lbs6 ft22.00718,611$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Viktor TikhonovNils Höglander40122
2Daniel SprongBrad MaloneAlexey Toropchenko30122
3Samuel HonzekJani Nyman20122
4Filip MesarOliver Kapanen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brock Faber Sean Durzi40122
2Tanner MolendykNoah Warren30122
3Michael Fischer 20122
4Brock Faber Sean Durzi10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Viktor TikhonovNils Höglander60122
2Daniel SprongBrad MaloneAlexey Toropchenko40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brock Faber Sean Durzi60122
2Tanner MolendykNoah Warren40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nils Höglander60122
2Viktor TikhonovBrad Malone40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brock Faber Sean Durzi60122
2Tanner MolendykNoah Warren40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Brock Faber Sean Durzi60122
2Nils Höglander40122Tanner MolendykNoah Warren40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nils Höglander60122
2Viktor TikhonovBrad Malone40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brock Faber Sean Durzi60122
2Tanner MolendykNoah Warren40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Viktor TikhonovNils HöglanderBrock Faber Sean Durzi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Viktor TikhonovNils HöglanderBrock Faber Sean Durzi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ilya Fedotov, Tanner Ludtke, Samuel HonzekIlya Fedotov, Tanner LudtkeSamuel Honzek
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Fischer , , Tanner MolendykMichael Fischer , Tanner Molendyk
Tirs de pénalité
, Nils Höglander, Viktor Tikhonov, Brad Malone, Daniel Sprong
Gardien
#1 : Zachary Fucale, #2 : Jesper Wallstedt
Lignes d’attaque personnalisées en prolongation
, Nils Höglander, Viktor Tikhonov, Brad Malone, Daniel Sprong, Alexey Toropchenko, Samuel Honzek, Jani Nyman, , Oliver Kapanen
Lignes de défense personnalisées en prolongation
Brock Faber , Sean Durzi, Tanner Molendyk, Noah Warren, Michael Fischer


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
14PHILADELPHIA PHANTOMS-LAS CRUCES MESCALEROS-
213LAS CRUCES MESCALEROS-BANGOR PUPPIES-
428CHICAGO UNDERTAKERS-LAS CRUCES MESCALEROS-
638LAS CRUCES MESCALEROS-CHICAGO UNDERTAKERS-
745LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
1058DETROIT STEELERS-LAS CRUCES MESCALEROS-
1168LAS CRUCES MESCALEROS-PENSACOLA BLACK BEARS-
1381HALIFAX HELL-LAS CRUCES MESCALEROS-
1489LAS CRUCES MESCALEROS-PHILADELPHIA PHANTOMS-
16103PENSACOLA BLACK BEARS-LAS CRUCES MESCALEROS-
18115LAS CRUCES MESCALEROS-DETROIT STEELERS-
19121LAS CRUCES MESCALEROS-BANGOR PUPPIES-
21130BANGOR PUPPIES-LAS CRUCES MESCALEROS-
23147PINCHER CREEK WOLVERINES-LAS CRUCES MESCALEROS-
25159LAS CRUCES MESCALEROS-COQUITLAM EXPRESS-
26165LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
28176NORTH VAN ROCKERS-LAS CRUCES MESCALEROS-
29189EDMONTON OILERS-LAS CRUCES MESCALEROS-
32202COQUITLAM EXPRESS-LAS CRUCES MESCALEROS-
34212LAS CRUCES MESCALEROS-CAPE FEAR WILDCATS-
36221LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
38233LAS CRUCES MESCALEROS-SYRACUSE BABY BULLS-
39242PHILADELPHIA PHANTOMS-LAS CRUCES MESCALEROS-
41255SYRACUSE BABY BULLS-LAS CRUCES MESCALEROS-
43269LAS CRUCES MESCALEROS-CAPE FEAR WILDCATS-
44276LAS CRUCES MESCALEROS-SYRACUSE BABY BULLS-
45285PHILADELPHIA PHANTOMS-LAS CRUCES MESCALEROS-
47301BROOKLYN GRINDERS-LAS CRUCES MESCALEROS-
49313LAS CRUCES MESCALEROS-COQUITLAM EXPRESS-
51322CHICAGO UNDERTAKERS-LAS CRUCES MESCALEROS-
53334LAS CRUCES MESCALEROS-NORTH VAN ROCKERS-
54341LAS CRUCES MESCALEROS-EDMONTON OILERS-
55350HAWAII PUNCH-LAS CRUCES MESCALEROS-
58363NEWTON NIGHTHAWKS-LAS CRUCES MESCALEROS-
60378LAS CRUCES MESCALEROS-EDMONTON OILERS-
62389CAPE FEAR WILDCATS-LAS CRUCES MESCALEROS-
64400COLORADO CUBS-LAS CRUCES MESCALEROS-
65413LAS CRUCES MESCALEROS-DETROIT STEELERS-
67423VANCOUVER THOUSANDAIRES-LAS CRUCES MESCALEROS-
69434LAS CRUCES MESCALEROS-VANCOUVER THOUSANDAIRES-
71446LAS CRUCES MESCALEROS-VANCOUVER THOUSANDAIRES-
72451CHICAGO UNDERTAKERS-LAS CRUCES MESCALEROS-
74467VANCOUVER THOUSANDAIRES-LAS CRUCES MESCALEROS-
76479LAS CRUCES MESCALEROS-BANGOR PUPPIES-
77487LAS CRUCES MESCALEROS-CALGARY WRANGLERS-
79495LAS CRUCES MESCALEROS-CHICAGO UNDERTAKERS-
80503HAWAII PUNCH-LAS CRUCES MESCALEROS-
83521CALGARY WRANGLERS-LAS CRUCES MESCALEROS-
84531COLORADO CUBS-LAS CRUCES MESCALEROS-
85539LAS CRUCES MESCALEROS-HAWAII PUNCH-
89558LAS CRUCES MESCALEROS-DETROIT STEELERS-
90568BANGOR PUPPIES-LAS CRUCES MESCALEROS-
92581SAN JOSE AVACADOES-LAS CRUCES MESCALEROS-
94596BANGOR PUPPIES-LAS CRUCES MESCALEROS-
95601LAS CRUCES MESCALEROS-SAN JOSE AVACADOES-
97616LAS CRUCES MESCALEROS-MANHATTAN SWEDES-
98623LAS CRUCES MESCALEROS-PINCHER CREEK WOLVERINES-
100633PINCHER CREEK WOLVERINES-LAS CRUCES MESCALEROS-
102646MANHATTAN SWEDES-LAS CRUCES MESCALEROS-
104661HALIFAX HELL-LAS CRUCES MESCALEROS-
106671LAS CRUCES MESCALEROS-CALGARY WRANGLERS-
108683SAN JOSE AVACADOES-LAS CRUCES MESCALEROS-
109693LAS CRUCES MESCALEROS-MANHATTAN SWEDES-
110698LAS CRUCES MESCALEROS-CHICAGO UNDERTAKERS-
112712LAS CRUCES MESCALEROS-HALIFAX HELL-
113720PENSACOLA BLACK BEARS-LAS CRUCES MESCALEROS-
115734LAS CRUCES MESCALEROS-PHILADELPHIA PHANTOMS-
117744PENSACOLA BLACK BEARS-LAS CRUCES MESCALEROS-
118756LAS CRUCES MESCALEROS-PENSACOLA BLACK BEARS-
120765HALIFAX HELL-LAS CRUCES MESCALEROS-
121774LAS CRUCES MESCALEROS-PHILADELPHIA PHANTOMS-
123786DETROIT STEELERS-LAS CRUCES MESCALEROS-
125797LAS CRUCES MESCALEROS-NEWTON NIGHTHAWKS-
127810DETROIT STEELERS-LAS CRUCES MESCALEROS-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128820LAS CRUCES MESCALEROS-NEWTON NIGHTHAWKS-
130831CAPE BRETON LEPRECHAUNS-LAS CRUCES MESCALEROS-
132840LAS CRUCES MESCALEROS-CAPE BRETON LEPRECHAUNS-
135850CAPE FEAR WILDCATS-LAS CRUCES MESCALEROS-
137866LAS CRUCES MESCALEROS-PENSACOLA BLACK BEARS-
138871CAPE BRETON LEPRECHAUNS-LAS CRUCES MESCALEROS-
141888LAS CRUCES MESCALEROS-BANGOR PUPPIES-
143895LAS CRUCES MESCALEROS-COLORADO CUBS-
144902NORTH VAN ROCKERS-LAS CRUCES MESCALEROS-
147916NORTH VAN ROCKERS-LAS CRUCES MESCALEROS-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité35002500
Prix des billets3716
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 0 - 0%0$0$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,587,000$ 2,587,000$ 2,157,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,317,000$ 0$ 30 3

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 149 31,839$ 4,744,011$




LAS CRUCES MESCALEROS 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

LAS CRUCES MESCALEROS 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

LAS CRUCES MESCALEROS 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

LAS CRUCES MESCALEROS 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

LAS CRUCES MESCALEROS 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