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LAS CRUCES MESCALEROS
GP: 12 | W: 7 | L: 2 | OTL: 3 | P: 17
GF: 44 | GA: 37 | PP%: 20.00% | PK%: 96.67%
DG: Peter S | Morale : 81 | Moyenne d’équipe : 63
Prochains matchs #130 vs BANGOR PUPPIES

Centre de jeu
LAS CRUCES MESCALEROS
7-2-3, 17pts
2
3 DETROIT STEELERS
5-4-2, 12pts
Team Stats
W1SéquenceW4
4-1-0Fiche domicile2-3-1
3-1-3Fiche domicile3-1-1
6-2-2Derniers 10 matchs5-3-2
3.67Buts par match 2.91
3.08Buts contre par match 3.27
20.00%Pourcentage en avantage numérique4.00%
96.67%Pourcentage en désavantage numérique81.25%
LAS CRUCES MESCALEROS
7-2-3, 17pts
3
2 BANGOR PUPPIES
7-4-0, 14pts
Team Stats
W1SéquenceL1
4-1-0Fiche domicile2-4-0
3-1-3Fiche domicile5-0-0
6-2-2Derniers 10 matchs6-4-0
3.67Buts par match 3.27
3.08Buts contre par match 3.18
20.00%Pourcentage en avantage numérique20.00%
96.67%Pourcentage en désavantage numérique87.10%
BANGOR PUPPIES
7-4-0, 14pts
Jour 21
LAS CRUCES MESCALEROS
7-2-3, 17pts
Statistiques d’équipe
L1SéquenceW1
2-4-0Fiche domicile4-1-0
5-0-0Fiche visiteur3-1-3
6-4-010 derniers matchs6-2-2
3.27Buts par match 3.67
3.18Buts contre par match 3.67
20.00%Pourcentage en avantage numérique20.00%
87.10%Pourcentage en désavantage numérique96.67%
PINCHER CREEK WOLVERINES
4-7-1, 9pts
Jour 23
LAS CRUCES MESCALEROS
7-2-3, 17pts
Statistiques d’équipe
W1SéquenceW1
1-4-0Fiche domicile4-1-0
3-3-1Fiche visiteur3-1-3
4-6-010 derniers matchs6-2-2
2.92Buts par match 3.67
3.50Buts contre par match 3.67
30.43%Pourcentage en avantage numérique20.00%
84.00%Pourcentage en désavantage numérique96.67%
LAS CRUCES MESCALEROS
7-2-3, 17pts
Jour 25
COQUITLAM EXPRESS
4-6-2, 10pts
Statistiques d’équipe
W1SéquenceL3
4-1-0Fiche domicile2-2-2
3-1-3Fiche visiteur2-4-0
6-2-210 derniers matchs4-5-1
3.67Buts par match 2.67
3.08Buts contre par match 2.67
20.00%Pourcentage en avantage numérique12.50%
96.67%Pourcentage en désavantage numérique80.36%
Meneurs d'équipe
Buts
Brad Malone
9
Passes
Nils Höglander
11
Points
Brad Malone
19
Plus/Moins
Daniel Sprong
10
Victoires
Jesper Wallstedt
7
Pourcentage d’arrêts
Jesper Wallstedt
0.916

Statistiques d’équipe
Buts pour
44
3.67 GFG
Tirs pour
356
29.67 Avg
Pourcentage en avantage numérique
20.0%
3 GF
Début de zone offensive
34.4%
Buts contre
37
3.08 GAA
Tirs contre
399
33.25 Avg
Pourcentage en désavantage numérique
96.7%%
1 GA
Début de la zone défensive
36.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité6,000
Assistance5,272
Billets de saison600


Informations de la formation

Équipe Pro39
Équipe Mineure20
Limite Contrat59 / 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 HöglanderXX99.0016193948994938460817966589788079772252650,000$
2Anton RodinX99.009999165758075823277846856999907873X23641,233,375$
3Viktor TikhonovX100.0011996574628483898080828099900687223811,200,000$
4Brad MaloneXX100.003624996375707781508483646199990797223711,125,000$
5Daniel SprongXX100.0031996878918473398383556595910797122931,225,000$
6Alexey ToropchenkoXXX100.0044190787996926946646555599477079682274800,000$
7Samuel Honzek (R)X100.0010199828283806954666761618075079671211900,000$
8Oliver Kapanen (R)X100.001199838284786755676558567074079662231600,000$
9Jani Nyman (R)X100.0041392788374706860686761667860079652223800,000$
10Cullen Potter (R)X100.00191090737169686566646367586467079631193900,000$
11Hayden Paupanekis (R)X100.00181861707369706169655857526264079602193800,000$
12Sean DurziX98.002350727878868880448864644990830797022821,200,000$
13Tanner Molendyk (R)X99.00524262767975766650635964557178069661211800,000$
14Radim Mrtka (R)X98.007265777265636662446560685064600796411931,000,000$
15Étienne Morin (R)X100.00411076637866736544676560506562073622211700,000$
16Noah Warren (R)X100.00334082668060736144595763486672079612223900,000$
17Leon Muggli (R)X100.00271492736960676244575861475765068602202800,000$
18Frédéric Brunet (R)X100.001199707672685444585066487171065602232600,000$
19Mats Lindgren (R)X100.0025788707368666144645960476062065602223700,000$
Rayé
1Artyom GalimovXX100.00261977072716964676357596873720686222700$
2Filip Mesar (R)XXX100.0022680717164695967565353657082079591223800,000$
3Ilya Fedotov (R)X100.0023199697570745659565248687276079592234600,000$
4William Zellers (R)X100.0095161697163666363606258566761068592202650,000$
5Florian Xhekaj (R)X100.00436373777768695952555357546653068592221800,000$
6Kasper Simontaival (R)XXX100.008199647161685850595853457168068582241600,000$
7Tanner Ludtke (R)X100.00404555707559635552555362526366068582211500,000$
8Hiroki Gojsic (R)X100.00432671626866625948585756545861068582202600,000$
9Logan Sawyer (R)X100.00165565687262595449555456535661068562202700,000$
10Cameron HillisX100.002412886775606153695351545576690685622700$
11Sam Stange (R)X100.007181667459665254545357515859068552241600,000$
12Bill ArnoldXXX100.00122278556041482738262842435059068402341545,000$
13Michael Fischer (R)X100.00574571647764734144525060456065079592223600,000$
14Mattias Norlinder (R)X100.0035199597753675144564461487872068582251600,000$
15Jack Peart (R)X100.00373796617854654739464657447279068572234600,000$
16Caden Price (R)X100.00321151637765655244504858455560079572211700,000$
MOYENNE D’ÉQUIPE99.8027228170756971625262606055727107362
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
1Jesper Wallstedt (R)96.0066687684708277788065607868082741234800,000$
2Michael DiPietro100.0058636482636062656460587371073642271600,000$
Rayé
1Zachary Fucale100.00677673787371777977666693890727413111,200,000$
2Dylan Garand (R)100.0059595684665962596058556066081622244600,000$
MOYENNE D’ÉQUIPE99.006367678268687070706260767407769
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
1Brad MaloneLAS CRUCES MESCALEROS (SPU)C/LW1291019900202338142123.68%721918.321012110000132039.53%12939001.7301000310
2Daniel SprongLAS CRUCES MESCALEROS (SPU)LW/RW128101810000122682130.77%820617.20000211000010144.44%963001.7400000031
3Nils HöglanderLAS CRUCES MESCALEROS (SPU)LW/RW1241115-2006236014376.67%428123.431124140001292060.00%20215001.0701000021
4Anton RodinLAS CRUCES MESCALEROS (SPU)RW125813-4371552165113249.80%824220.18112213000001127.27%11610001.0701111110
5Alexey ToropchenkoLAS CRUCES MESCALEROS (SPU)C/LW/RW125388601992081225.00%219216.0300000000001150.00%1422000.8300000010
6Sean DurziLAS CRUCES MESCALEROS (SPU)D1235802017182716611.11%2534128.5000007000128000%0814000.4701000111
7Oliver KapanenLAS CRUCES MESCALEROS (SPU)C12257000111133315.38%922718.96011013000010042.11%32332000.6200000010
8Tanner MolendykLAS CRUCES MESCALEROS (SPU)D1206622155416141020%1927222.67011216000117000%019000.4400010100
9Jani NymanLAS CRUCES MESCALEROS (SPU)RW1242600001316161225.00%514311.9800000000000025.00%476000.8300000001
10Samuel HonzekLAS CRUCES MESCALEROS (SPU)LW12134000416226184.55%417514.59011211000012010%454000.4600000100
11Radim MrtkaLAS CRUCES MESCALEROS (SPU)D12033620452415540%2030525.44000216000029000%029000.2000000000
12Cullen PotterLAS CRUCES MESCALEROS (SPU)C12213000812132415.38%418815.69000000001291051.91%13105000.3201000000
13Noah WarrenLAS CRUCES MESCALEROS (SPU)D12022620121310530%1724220.1800009000023000%016000.1700000000
14Ilya FedotovLAS CRUCES MESCALEROS (SPU)LW8101-1001881112.50%0708.82000000000000100.00%121000.2800000000
15Michael Fischer LAS CRUCES MESCALEROS (SPU)D8011-1201093110%412315.390000100000000%004000.1600000000
16Filip MesarLAS CRUCES MESCALEROS (SPU)C/LW/RW8000-100269120%2759.480000000004000%01100000000000
17Étienne MorinLAS CRUCES MESCALEROS (SPU)D4000-120320000%0287.220000000003000%00000000000000
18Leon MuggliLAS CRUCES MESCALEROS (SPU)D4000100000000%0143.690000000000000%00000000000000
19Caden PriceLAS CRUCES MESCALEROS (SPU)D8000100692140%512415.510000000005000%00500000000000
20Frédéric BrunetLAS CRUCES MESCALEROS (SPU)D4000000000000%010.270000000000000%00000000000000
21Mats LindgrenLAS CRUCES MESCALEROS (SPU)D4000000010000%000.120000000000000%00000000000000
22Hayden PaupanekisLAS CRUCES MESCALEROS (SPU)C12000-1201109570%01109.20000000002130046.34%412100000000000
Statistiques d’équipe totales ou en moyenne216447011432762026125135612918212.36%143358716.613581613000062157443.96%6877096000.64051217104
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
1Jesper WallstedtLAS CRUCES MESCALEROS (SPU)107120.9162.756122028335166000.7504100101
2Zachary FucaleLAS CRUCES MESCALEROS (SPU)20110.8754.001200086437000020000
Statistiques d’équipe totales ou en moyenne127230.9102.957322036399203004120101


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$692,617$80,000$69,262$No800,000$800,000$800,000$------40,000$40,000$40,000$------NoNoNo------
Anton RodinLAS CRUCES MESCALEROS (SPU)RW361990-08-12USANo201 Lbs6 ft0NoYesN/ANoNo42024-05-23FalseFalsePro & Farm1,233,375$1,067,821$123,338$106,783$No1,233,375$1,233,375$1,233,375$------40,000$40,000$40,000$------NoNoNo------
Artyom GalimovLAS CRUCES MESCALEROS (SPU)C/LW271999-09-08RUSNo181 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Bill ArnoldLAS CRUCES MESCALEROS (SPU)C/LW/RW341992-05-13USANo236 Lbs6 ft0NoNoN/ANoNo12024-06-10FalseFalsePro & Farm545,000$471,846$54,500$47,185$No---------------------------
Brad MaloneLAS CRUCES MESCALEROS (SPU)C/LW371989-08-11CANNo201 Lbs6 ft0NoNoN/ANoNo12026-10-08FalseFalsePro & Farm1,125,000$973,993$112,500$97,399$No---------------------------
Caden PriceLAS CRUCES MESCALEROS (SPU)D212005-06-01CANYes210 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm700,000$606,040$70,000$60,604$No---------------------------
Cameron HillisLAS CRUCES MESCALEROS (SPU)C271999-06-01CANNo195 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Cullen PotterLAS CRUCES MESCALEROS (SPU)C192007-01-10USAYes172 Lbs5 ft10NoNoAssign ManuallyNoNo32026-06-17FalseFalsePro & Farm900,000$779,195$90,000$77,919$No900,000$900,000$-------40,000$40,000$-------NoNo-------
Daniel SprongLAS CRUCES MESCALEROS (SPU)LW/RW291997-03-17NLDNo210 Lbs6 ft2NoNoN/ANoNo32026-02-06FalseFalsePro & Farm1,225,000$1,060,570$122,500$106,057$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$519,463$60,000$51,946$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$692,617$80,000$69,262$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Florian XhekajLAS CRUCES MESCALEROS (SPU)LW222004-06-27CANYes195 Lbs6 ft6NoNoAssign ManuallyNoNo12024-07-04FalseFalsePro & Farm800,000$692,617$80,000$69,262$No---------------------------
Frédéric BrunetLAS CRUCES MESCALEROS (SPU)D232003-08-21CANYes191 Lbs6 ft4NoNoAssign Manually2025-01-08NoNo22026-06-23FalseFalsePro & Farm600,000$519,463$60,000$51,946$No600,000$--------40,000$--------No--------
Hayden PaupanekisLAS CRUCES MESCALEROS (SPU)C192007-06-01CANYes180 Lbs6 ft0NoNoAssign ManuallyNoNo32026-06-19FalseFalsePro & Farm800,000$692,617$80,000$69,262$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Hiroki GojsicLAS CRUCES MESCALEROS (SPU)RW202006-05-01CANYes214 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-20FalseFalsePro & Farm600,000$519,463$60,000$51,946$No600,000$--------40,000$--------No--------
Ilya FedotovLAS CRUCES MESCALEROS (SPU)LW232003-03-19RUSYes191 Lbs6 ft3NoNoN/ANoNo42025-06-12FalseFalsePro & Farm600,000$519,463$60,000$51,946$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$519,463$60,000$51,946$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$692,617$80,000$69,262$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Jesper WallstedtLAS CRUCES MESCALEROS (SPU)G232002-11-14SWEYes229 Lbs6 ft5NoNoN/ANoNo42025-06-12FalseFalsePro & Farm800,000$692,617$80,000$69,262$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$519,463$60,000$51,946$No---------------------------
Leon MuggliLAS CRUCES MESCALEROS (SPU)D202006-07-09SUIYes178 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-14FalseFalsePro & Farm800,000$692,617$80,000$69,262$No800,000$--------40,000$--------No--------
Logan SawyerLAS CRUCES MESCALEROS (SPU)LW202006-06-01CANYes183 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm700,000$606,040$70,000$60,604$No700,000$--------40,000$--------No--------
Mats LindgrenLAS CRUCES MESCALEROS (SPU)D222004-08-26CANYes186 Lbs6 ft1NoNoAssign ManuallyNoNo32026-06-21FalseFalsePro & Farm700,000$606,040$70,000$60,604$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Mattias NorlinderLAS CRUCES MESCALEROS (SPU)D252001-06-01SWEYes220 Lbs6 ft1NoNoN/ANoNo12026-09-12FalseFalsePro & Farm600,000$519,463$60,000$51,946$No---------------------------
Michael DiPietroLAS CRUCES MESCALEROS (SPU)G271999-06-09CANNo224 Lbs6 ft2NoNoTrade2024-02-24NoNo12025-06-12FalseFalsePro & Farm600,000$519,463$60,000$51,946$No---------------------------
Michael Fischer LAS CRUCES MESCALEROS (SPU)D222004-06-01USAYes206 Lbs6 ft3NoNoN/ANoNo32026-06-06FalseFalsePro & Farm600,000$519,463$60,000$51,946$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Nils HöglanderLAS CRUCES MESCALEROS (SPU)LW/RW252000-12-20SWENo200 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm650,000$562,752$65,000$56,275$No650,000$--------40,000$--------No--------
Noah WarrenLAS CRUCES MESCALEROS (SPU)D222004-06-01CANYes211 Lbs6 ft6NoNoTrade2024-09-20NoNo32026-06-06FalseFalsePro & Farm900,000$779,195$90,000$77,919$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$519,463$60,000$51,946$No---------------------------
Radim MrtkaLAS CRUCES MESCALEROS (SPU)D192007-06-09CZEYes207 Lbs6 ft6NoNoAssign ManuallyNoNo32026-06-15FalseFalsePro & Farm1,000,000$865,772$100,000$86,577$No1,000,000$1,000,000$-------40,000$40,000$-------NoNo-------
Sam Stange LAS CRUCES MESCALEROS (SPU)RW242002-06-01USAYes196 Lbs6 ft0NoNoN/ANoNo12024-06-10FalseFalsePro & Farm600,000$519,463$60,000$51,946$No---------------------------
Samuel HonzekLAS CRUCES MESCALEROS (SPU)LW212004-11-12SLOYes194 Lbs6 ft5NoNoAssign ManuallyNoNo12024-07-02FalseFalsePro & Farm900,000$779,195$90,000$77,919$No---------------------------
Sean DurziLAS CRUCES MESCALEROS (SPU)D281998-10-21CANNo201 Lbs6 ft0NoNoN/ANoNo22025-06-12FalseFalsePro & Farm1,200,000$1,038,926$120,000$103,893$No1,200,000$--------40,000$--------No--------
Tanner LudtkeLAS CRUCES MESCALEROS (SPU)C212005-06-01USAYes191 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-09FalseFalsePro & Farm500,000$432,886$50,000$43,289$No---------------------------
Tanner MolendykLAS CRUCES MESCALEROS (SPU)D212005-02-03CANYes191 Lbs6 ft1NoNoTrade2025-12-01NoNo12024-07-04FalseFalsePro & Farm800,000$692,617$80,000$69,262$No---------------------------
Viktor TikhonovLAS CRUCES MESCALEROS (SPU)C381988-08-08RUSNo196 Lbs6 ft0NoNoN/ANoNo12025-06-12FalseFalsePro & Farm1,200,000$1,038,926$120,000$103,893$No---------------------------
William ZellersLAS CRUCES MESCALEROS (SPU)C202006-06-01USAYes184 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-18FalseFalsePro & Farm650,000$562,752$65,000$56,275$No650,000$--------40,000$--------No--------
Zachary FucaleLAS CRUCES MESCALEROS (SPU)G311995-05-28CANNo200 Lbs6 ft3NoNoN/ANoNo12025-06-12FalseFalsePro & Farm1,200,000$1,038,926$120,000$103,893$No---------------------------
Étienne MorinLAS CRUCES MESCALEROS (SPU)D212005-03-09CANYes212 Lbs6 ft3NoNoTrade2026-09-20NoNo12024-07-06FalseFalsePro & Farm700,000$606,040$70,000$60,604$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3924.41199 Lbs6 ft22.05744,317$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HöglanderOliver KapanenAnton Rodin40122
2Daniel SprongBrad MaloneAlexey Toropchenko30122
3Samuel HonzekCullen PotterJani Nyman20122
4Nils HöglanderHayden PaupanekisAnton Rodin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim MrtkaSean Durzi40122
2Tanner MolendykNoah Warren30122
3Sean DurziTanner Molendyk20122
4Tanner MolendykSean Durzi10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HöglanderOliver KapanenAnton Rodin60122
2Samuel HonzekBrad MaloneDaniel Sprong40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim MrtkaTanner Molendyk60122
2Sean DurziNoah Warren40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cullen PotterNils Höglander60122
2Hayden PaupanekisBrad Malone40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim MrtkaSean Durzi60122
2Tanner MolendykNoah Warren40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cullen Potter60122Radim MrtkaSean Durzi60122
2Nils Höglander40122Tanner MolendykNoah Warren40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cullen PotterNils Höglander60122
2Brad MaloneAnton Rodin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radim MrtkaSean Durzi60122
2Tanner MolendykNoah Warren40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MaloneCullen PotterNils HöglanderRadim MrtkaSean Durzi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anton RodinCullen PotterNils HöglanderRadim MrtkaSean Durzi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cullen Potter, Samuel Honzek, Hayden PaupanekisNils Höglander, Samuel HonzekSamuel Honzek
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Durzi, Radim Mrtka, Tanner MolendykTanner MolendykSean Durzi, Tanner Molendyk
Tirs de pénalité
Anton Rodin, Nils Höglander, Cullen Potter, Brad Malone, Oliver Kapanen
Gardien
#1 : Jesper Wallstedt, #2 : Michael DiPietro
Lignes d’attaque personnalisées en prolongation
Cullen Potter, Nils Höglander, Anton Rodin, Brad Malone, Daniel Sprong, Alexey Toropchenko, Samuel Honzek, Jani Nyman, Hayden Paupanekis, Oliver Kapanen
Lignes de défense personnalisées en prolongation
Radim Mrtka, Sean Durzi, Tanner Molendyk, Noah Warren, Étienne Morin


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
TotalDomicile Visiteur
# 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 RI
1BANGOR PUPPIES21000001440000000000002100000144030.75046100012151615699139107155921851600.00%40100.00%010423145.02%11524746.56%8319442.78%246136271108216106
2BROOKLYN GRINDERS11000000716000000000001100000071621.000712190012151613299139107152813525000%000%010423145.02%11524746.56%8319442.78%246136271108216106
3CHICAGO UNDERTAKERS220000001275110000005321100000074341.00012203200121516172991391071567218263266.67%50100.00%010423145.02%11524746.56%8319442.78%246136271108216106
4DETROIT STEELERS20001100440100010002111000010023-130.75045900121516154991391071574331651100.00%80100.00%010423145.02%11524746.56%8319442.78%246136271108216106
5HALIFAX HELL11000000431110000004310000000000021.0004610001215161259913910715301312204125.00%10100.00%010423145.02%11524746.56%8319442.78%246136271108216106
6PENSACOLA BLACK BEARS20200000510-51010000024-21010000036-300.000581300121516158991391071566171249100.00%6183.33%010423145.02%11524746.56%8319442.78%246136271108216106
7PHILADELPHIA PHANTOMS21000100880110000005411000010034-130.7508132100121516159991391071575251739000%60100.00%010423145.02%11524746.56%8319442.78%246136271108216106
Total1262012014437753101000181537310020126224170.708447011400121516135699139107153991437826115320.00%30196.67%010423145.02%11524746.56%8319442.78%246136271108216106
_Since Last GM Reset1262012014437753101000181537310020126224170.708447011400121516135699139107153991437826115320.00%30196.67%010423145.02%11524746.56%8319442.78%246136271108216106
_Vs Conference104201201333304210100014122621002011921-2130.65033528500121516129999139107153411176121611218.18%29196.55%010423145.02%11524746.56%8319442.78%246136271108216106
_Vs Division104201201333304210100014122621002011921-2130.65033528500121516129999139107153411176121611218.18%29196.55%010423145.02%11524746.56%8319442.78%246136271108216106

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1217W144701143563991437826100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
126212014437
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53110001815
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73102012622
Derniers 10 matchs
WLOTWOTL SOWSOL
620200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15320.00%30196.67%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
99139107151215161
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
10423145.02%11524746.56%8319442.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
246136271108216106


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 PHANTOMS4LAS CRUCES MESCALEROS5WSommaire du match
213LAS CRUCES MESCALEROS1BANGOR PUPPIES2LXXSommaire du match
428CHICAGO UNDERTAKERS3LAS CRUCES MESCALEROS5WSommaire du match
638LAS CRUCES MESCALEROS7CHICAGO UNDERTAKERS4WSommaire du match
745LAS CRUCES MESCALEROS7BROOKLYN GRINDERS1WSommaire du match
1058DETROIT STEELERS1LAS CRUCES MESCALEROS2WXSommaire du match
1168LAS CRUCES MESCALEROS3PENSACOLA BLACK BEARS6LSommaire du match
1381HALIFAX HELL3LAS CRUCES MESCALEROS4WSommaire du match
1489LAS CRUCES MESCALEROS3PHILADELPHIA PHANTOMS4LXSommaire du match
16103PENSACOLA BLACK BEARS4LAS CRUCES MESCALEROS2LSommaire du match
18115LAS CRUCES MESCALEROS2DETROIT STEELERS3LXSommaire du match
19121LAS CRUCES MESCALEROS3BANGOR PUPPIES2WSommaire du match
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
Assistance13,85912,500
Assistance PCT79.19%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
37 5272 - 87.86% 142,557$712,783$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
679,061$ 2,902,838$ 2,902,838$ 2,157,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,902,838$ 389,521$ 37 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,274,594$ 129 33,959$ 4,380,711$




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