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Muertos
GP: 27 | W: 17 | L: 8 | OTL: 2 | P: 36
GF: 93 | GA: 71 | PP%: 16.67% | PK%: 83.33%
DG: Kris Nissen | Morale : 50 | Moyenne d’équipe : 80
Prochains matchs #352 vs Voodoo

Centre de jeu
Trident
10-12-5, 25pts
2
3 Muertos
17-8-2, 36pts
Team Stats
W1SéquenceW2
6-5-2Fiche domicile9-5-2
4-7-3Fiche visiteur8-3-0
5-4-1Derniers 10 matchs6-4-0
2.96Buts par match 3.44
3.44Buts contre par match 2.63
20.83%Pourcentage en avantage numérique16.67%
84.91%Pourcentage en désavantage numérique83.33%
Bandits
14-11-2, 30pts
1
3 Muertos
17-8-2, 36pts
Team Stats
L1SéquenceW2
7-5-2Fiche domicile9-5-2
7-6-0Fiche visiteur8-3-0
5-5-0Derniers 10 matchs6-4-0
2.89Buts par match 3.44
2.89Buts contre par match 2.63
17.50%Pourcentage en avantage numérique16.67%
80.23%Pourcentage en désavantage numérique83.33%
Muertos
17-8-2, 36pts
2026-07-31
Voodoo
12-15-0, 24pts
Statistiques d’équipe
W2SéquenceL2
9-5-2Fiche domicile7-7-0
8-3-0Fiche visiteur5-8-0
6-4-010 derniers matchs3-7-0
3.44Buts par match 3.07
2.63Buts contre par match 3.07
16.67%Pourcentage en avantage numérique29.41%
83.33%Pourcentage en désavantage numérique81.16%
Muertos
17-8-2, 36pts
2026-08-02
Dockheads
15-9-2, 32pts
Statistiques d’équipe
W2SéquenceOTL1
9-5-2Fiche domicile8-5-2
8-3-0Fiche visiteur7-4-0
6-4-010 derniers matchs5-4-1
3.44Buts par match 3.38
2.63Buts contre par match 3.38
16.67%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique78.05%
Muertos
17-8-2, 36pts
2026-08-03
Razorbacks
15-6-6, 36pts
Statistiques d’équipe
W2SéquenceW1
9-5-2Fiche domicile8-2-2
8-3-0Fiche visiteur7-4-4
6-4-010 derniers matchs6-2-2
3.44Buts par match 3.37
2.63Buts contre par match 3.37
16.67%Pourcentage en avantage numérique18.87%
83.33%Pourcentage en désavantage numérique82.69%
Meneurs d'équipe
Buts
Hale Labrecque
16
Passes
Donavon Sorley
22
Points
Donavon Sorley
31
Plus/Moins
Elie Van Der Male
13
Victoires
Lars-Bjorn Sundholm
10
Pourcentage d’arrêts
Lars-Bjorn Sundholm
0.933

Statistiques d’équipe
Buts pour
93
3.44 GFG
Tirs pour
977
36.19 Avg
Pourcentage en avantage numérique
16.7%
9 GF
Début de zone offensive
38.4%
Buts contre
71
2.63 GAA
Tirs contre
953
35.30 Avg
Pourcentage en désavantage numérique
83.3%%
5 GA
Début de la zone défensive
36.8%
Informations de l'équipe

Directeur généralKris Nissen
EntraîneurStanley Cyncar
DivisionMidwest
ConférenceWestern Conference
CapitaineDalen Palmateer
Assistant #1Luke Vanni
Assistant #2Kody Schutz


Informations de l’aréna

NomLos Muertos Arena
Capacité18,000
Assistance17,076
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure35
Limite Contrat55 / 55
Espoirs7


Plafond salarial

Cap Salarial de la Saison estimé54,824,839$
Plafond salarial disponible4,175,161$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour28,413,983$
Dépenses annuelles à ce jour17,082,490$
Revenus de la saison estimés42,620,974$
Dépenses de la saison estimées38,478,778$
Compte bancaire actuel116,483,369$
Compte bancaire projeté121,717,611$


Historique d'équipe

Saison actuelle17-8-2 (36PTS)
Historique241-147-45 (0.557%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)22 - 16 (0.579%)
Coupe Stanley1


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
1Dalen Palmateer (C)23X100.0068587198999978949585799978665558508902434,650,000$
2Kody Schutz (A)22X100.0048377699949977977985938647436059508702344,000,000$
3Donavon Sorley38X100.0038395980859996995187826270636353508102523,500,000$
4Hale Labrecque12X99.0029548882927359887373999987826850508002613,750,000$
5Elie Van Der Male88X100.0044357165379087929984899774886659507902343,200,000$
6Feng Xingyi28X100.0043459678849663884996578588506355507902521,700,000$
7Bruno-Carl Young24X100.0033496467608994924984949754863358507902522,200,000$
8Leonard Bjorklund0X100.0078686894758551676395699372835024507803111,823,100$
9Braydon Trinh0X100.0081557967979695639752837797774022507803032,000,000$
10Zackary Nowry82X100.007358798778996289878094358679500507803924,000,000$
11Zayden Rankine95X100.0096537998607992625570599989863352507702511,000,000$
12Artem Ivalahti87X99.0055458689807782787280962448565358507502342,500,000$
13Luke Vanni (A)2X100.0088415799999994992562737249436862508502343,500,000$
14Carl Stiles4X100.0066448497949078992561836364636852508202511,999,000$
15Marcel Kacmarik (R)9X100.0075688077899495877980825484667467508101921,000,000$
16Vsevolod Neretin6X100.0099517579938953982565529076537938508002812,126,849$
17Casey Mctavish3X100.0063587366928974962579479796586532507902831,704,800$
18Jaryd Rooke (R)10X99.006165668869866879799089608472736250780192900,000$
Rayé
MOYENNE D’ÉQUIPE99.83635175848290788763787977756759485080
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
1Andrew Wiewel3199.00807456798487998594839756717508203532,700,000$
2Lars-Bjorn Sundholm199.007866806799629998776060349723507903112,750,000$
Rayé
MOYENNE D’ÉQUIPE99.0079706873927599928672794584155081
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Stanley Cyncar43749591505460CAN4145,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Donavon SorleyMuertosLW27922311240213210538618.57%1151919.241234480000112030.23%43198001.1900000102
2Dalen PalmateerMuertosC2711193011715585692226311.96%1651819.190556470110231054.29%501249001.1600210230
3Hale LabrecqueMuertosRW27167231220237101163515.84%1549218.223031246000002150.00%42118020.9300000210
4Elie Van Der MaleMuertosC27814221340235462233912.90%2148517.99011246000002056.52%529612000.9100000021
5Kody SchutzMuertosLW24811195607428430429.52%1439716.581123111011161253.33%30168000.9600000210
6Feng XingyiMuertosLW2771118-25573859215111.86%747217.49011240000013016.67%18149000.7600100102
7Zackary NowryMuertosC27791652059227124539.86%1043616.17123650000010053.38%29695000.7300000002
8Luke VanniMuertosD275101511180137475527209.09%3171526.50134349000016100%02025000.4200000031
9Bruno-Carl YoungMuertosRW275712-1101010356519237.69%1744616.55000000001241040.00%25613000.5400101011
10Carl StilesMuertosD27291132038323816235.26%3657521.3310114800005010%01118000.3800000111
11Jaryd RookeMuertosD222810139524384316134.65%3255725.3411244100000200%01213000.3600100011
12Casey MctavishMuertosD2736958048453612118.33%5266524.6300000000023000%0541000.2703000110
13Artem IvalahtiMuertosRW274483001495418327.41%242015.58022447000000036.84%19110000.3823000000
14Leonard BjorklundMuertosRW132241201461471414.29%1937.1900000000000050.00%241000.8600000100
15Braydon TrinhMuertosC25134-4175201316666.25%82208.8400001000060055.56%2702000.3600001000
16Vsevolod NeretinMuertosD27044000663223870%2438314.1900000000029000%028000.2100000001
17Hannu-Petteri HatinenOutlaws (MUE)RW9022-100102124130%1839.330000000000000%220000.4800000000
18Nevin CallaghanOutlaws (MUE)LW3011000124000%0279.16000000000000100.00%121000.7300000000
19Akio NishiwakiOutlaws (MUE)D501102023126310%511122.370000700001000%024000.1800000001
20Zayden RankineMuertosLW260111002816195130%122077.9700000000030050.00%466000.1003000000
21Soren WanchukOutlaws (MUE)RW1011000001210%01313.580000000000000%001001.4700000000
22Enver MendrelyukOutlaws (MUE)RW2000000100110%13216.380000000000000%41000000000000
23Francois-Xavier BarnhartOutlaws (MUE)C3000-100015120%03311.2100000000020050.00%120000000000000
24Timofey LichkovOutlaws (MUE)RW2000-120211240%1157.640000000000000%10000000000000
25Marcel KacmarikMuertosD270005001586420%22007.4400000000025000%02200000000000
26Geordie von WilkeOutlaws (MUE)LW1000000111010%11515.050000000001000%00100000000000
Statistiques d’équipe totales ou en moyenne4879015224280110406295819733255319.25%320814316.729182747487112219715452.96%1556185195020.5929512111413
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
1Lars-Bjorn SundholmMuertos1510400.9332.398790035521284201.00031413222
2Andrew WiewelMuertos115510.9143.046720034396165101.00031116102
3Dustin TousignantOutlaws (MUE)62310.9113.103290017190102000.667365001
Statistiques d’équipe totales ou en moyenne32171220.9222.751880008611075513093134325


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 Plafond 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
Andrew WiewelMuertosG351993-06-24CANNo207 Lbs5 ft11NoNoTrade2026-07-03NoNo32025-02-01FalseFalsePro & Farm2,700,000$2,700,000$1,855,102$No2,700,000$2,700,000$-------2,700,000$2,700,000$-------NoNo-------
Artem IvalahtiMuertosRW232005-08-28FINNo222 Lbs6 ft7NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm2,500,000$2,500,000$1,717,687$No2,500,000$2,500,000$2,500,000$------2,500,000$2,500,000$2,500,000$------NoNoNo------
Braydon TrinhMuertosC301998-02-13CANNo237 Lbs6 ft7NoNoTrade2026-07-09NoYes32025-02-01FalseFalsePro & Farm2,000,000$2,000,000$1,374,150$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Bruno-Carl YoungMuertosRW252003-05-28CANNo204 Lbs6 ft3NoNoAssign Manually2025-04-16NoYes22025-09-28FalseFalsePro & Farm2,200,000$2,200,000$1,511,565$No2,200,000$--------2,200,000$--------No--------
Carl StilesMuertosD252003-06-27CANNo185 Lbs5 ft11NoNoTrade2026-02-10NoYes1FalseFalsePro & Farm1,999,000$1,999,000$1,373,463$No---------------------------
Casey MctavishMuertosD282000-03-25CANNo218 Lbs6 ft7NoNoTrade2025-11-17NoYes32025-02-01FalseFalsePro & Farm1,704,800$1,704,800$1,171,325$No1,704,800$1,704,800$-------1,704,800$1,704,800$-------NoNo-------
Dalen PalmateerMuertosC242004-08-01CANNo212 Lbs6 ft8NoNoAssign ManuallyNoYes32025-02-01FalseFalsePro & Farm4,650,000$4,650,000$3,194,898$No4,650,000$4,650,000$-------4,650,000$4,650,000$-------NoNo-------
Donavon SorleyMuertosLW252003-07-22USANo191 Lbs6 ft2NoNoN/ANoYes22024-06-04FalseFalsePro & Farm3,500,000$3,500,000$2,404,762$No3,500,000$--------3,500,000$--------No--------
Elie Van Der MaleMuertosC232005-07-09CANNo177 Lbs5 ft7NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm3,200,000$3,200,000$2,198,639$No3,200,000$3,200,000$3,200,000$------3,200,000$3,200,000$3,200,000$------NoNoNo------
Feng XingyiMuertosLW252003-10-17CHNNo185 Lbs6 ft1NoNoN/ANoYes22024-06-04FalseFalsePro & Farm1,700,000$1,700,000$1,168,027$No1,700,000$--------1,700,000$--------No--------
Hale LabrecqueMuertosRW262002-01-28USANo189 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm3,750,000$3,750,000$2,576,531$No---------------------------
Jaryd RookeMuertosD192009-12-10CANYes206 Lbs6 ft0NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$900,000$618,367$No900,000$--------900,000$--------No--------
Kody SchutzMuertosLW232005-07-02USANo206 Lbs6 ft2NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm4,000,000$4,000,000$2,748,299$No4,000,000$4,000,000$4,000,000$------4,000,000$4,000,000$4,000,000$------NoNoNo------
Lars-Bjorn SundholmMuertosG311997-12-28SWENo169 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm2,750,000$2,750,000$1,889,456$No---------------------------
Leonard BjorklundMuertosRW311997-09-23SWENo219 Lbs6 ft5NoNoFree AgentNoNo12026-07-08FalseFalsePro & Farm1,823,100$1,823,100$1,252,606$No---------------------------
Luke VanniMuertosD232005-03-24CANNo167 Lbs5 ft5NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm3,500,000$3,500,000$2,404,762$No3,500,000$3,500,000$3,500,000$------3,500,000$3,500,000$3,500,000$------NoNoNo------
Marcel KacmarikMuertosD192009-01-23SVKYes206 Lbs6 ft3NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm1,000,000$1,000,000$687,075$No1,000,000$--------1,000,000$--------No--------
Vsevolod NeretinMuertosD282000-05-23RUSNo167 Lbs5 ft10NoNoTrade2026-05-28NoYes1FalseFalsePro & Farm2,126,849$2,126,849$1,461,304$No---------------------------
Zackary NowryMuertosC391989-07-19CANNo209 Lbs6 ft1NoNoFree AgentNoYes22026-05-31FalseFalsePro & Farm4,000,000$4,000,000$2,748,299$No4,000,000$--------4,000,000$--------No--------
Zayden RankineMuertosLW252003-10-22CANNo217 Lbs6 ft8NoNoN/ANoYes1FalseFalsePro & Farm1,000,000$1,000,000$687,075$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2026.35200 Lbs6 ft22.302,550,187$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
51,003,749$37,554,800$24,254,800$13,200,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Feng XingyiDalen PalmateerBruno-Carl Young33014
2Donavon SorleyElie Van Der MaleHale Labrecque33014
3Kody SchutzZackary NowryArtem Ivalahti33005
4Zayden RankineBraydon TrinhLeonard Bjorklund1050
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke VanniJaryd Rooke35023
2Carl StilesCasey Mctavish35032
3Casey MctavishVsevolod Neretin20032
4Luke VanniJaryd Rooke10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kody SchutzDalen PalmateerDonavon Sorley50005
2Zackary NowryElie Van Der MaleHale Labrecque50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke VanniJaryd Rooke50005
2Artem IvalahtiCarl Stiles50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Donavon SorleyBruno-Carl Young50050
2Dalen PalmateerKody Schutz50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey MctavishVsevolod Neretin50050
2Luke VanniMarcel Kacmarik50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Feng Xingyi50050Casey MctavishVsevolod Neretin50050
2Dalen Palmateer50050Luke VanniMarcel Kacmarik50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dalen PalmateerFeng Xingyi50005
2Elie Van Der MaleDonavon Sorley50032
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke VanniCarl Stiles50032
2Marcel KacmarikJaryd Rooke50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Feng XingyiDalen PalmateerHale LabrecqueLuke VanniJaryd Rooke
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Donavon SorleyElie Van Der MaleBruno-Carl YoungCasey MctavishVsevolod Neretin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dalen Palmateer, Kody Schutz, Donavon SorleyDalen Palmateer, Kody SchutzDalen Palmateer
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Vanni, Marcel Kacmarik, Carl StilesLuke VanniMarcel Kacmarik, Luke Vanni
Tirs de pénalité
Casey Mctavish, Zayden Rankine, Artem Ivalahti, Feng Xingyi, Hale Labrecque
Gardien
#1 : Lars-Bjorn Sundholm, #2 : Andrew Wiewel
Lignes d’attaque personnalisées en prolongation
Dalen Palmateer, Feng Xingyi, Donavon Sorley, Hale Labrecque, Bruno-Carl Young, Kody Schutz, Elie Van Der Male, Zackary Nowry, Artem Ivalahti, Zayden Rankine
Lignes de défense personnalisées en prolongation
Luke Vanni, Carl Stiles, Jaryd Rooke, Vsevolod Neretin, Casey Mctavish


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
1Bandits21001000523110000003121000100021141.0005914001121732622223623417628337.50%10100.00%032060552.89%30758052.93%21539254.85%452745173316
2Blizzard310000111082200000116601100000042250.83310132300063110739372611127366546116.67%30100.00%032060552.89%30758052.93%21539254.85%674070255126
3Blues2200000012662200000012660000000000041.000121729001740731537210702112554125.00%10100.00%032060552.89%30758052.93%21539254.85%462938163518
4Dockheads2020000048-41010000024-21010000024-200.000471100121059201920075266375120.00%3233.33%032060552.89%30758052.93%21539254.85%402446173316
5Harfang211000006601010000024-21100000042220.5006915002130659263005929642100.00%3166.67%032060552.89%30758052.93%21539254.85%402344183517
6Knights11000000716000000000001100000071621.000791600232041169160368142011100.00%20100.00%032060552.89%30758052.93%21539254.85%2113218179
7Lumberjacks11000000422110000004220000000000021.000471100022035620903611229100.00%10100.00%132060552.89%30758052.93%21539254.85%2113228168
8Militia10000010431100000104310000000000021.0004610001111422010114299423100.00%2150.00%032060552.89%30758052.93%21539254.85%2516219188
9North Stars22000000844110000005321100000031241.000814220032306829192007323043200.00%000%032060552.89%30758052.93%21539254.85%392448163215
10Orcas210001006601000010034-11100000032130.7506101600132079282624161256506116.67%30100.00%032060552.89%30758052.93%21539254.85%452640173618
11Razorbacks11000000514000000000001100000051421.0005914002030421110210308219200.00%10100.00%032060552.89%30758052.93%21539254.85%2113208179
12Royals11000000633110000006330000000000021.00061016002130411112180428529100.00%000%032060552.89%30758052.93%21539254.85%2012237168
13Stingrays1010000023-11010000023-10000000000000.0002350001103512101303011425400.00%20100.00%032060552.89%30758052.93%21539254.85%2415208157
14Stormbreakers2020000024-21010000012-11010000012-100.0002350010106825232007728254300.00%10100.00%032060552.89%30758052.93%21539254.85%442640153417
15Trident11000000321110000003210000000000021.00036900012035108170337418300.00%20100.00%032060552.89%30758052.93%21539254.85%2011239168
16Twisters1010000016-5000000000001010000016-500.0001230001004415161303513919200.00%2150.00%032060552.89%30758052.93%21539254.85%2315218158
17Voltage211000008621010000023-11100000063320.50081523000440702521240782111424125.00%30100.00%032060552.89%30758052.93%21539254.85%442842153316
Total271480112193712216750012155469117301000382513360.667931492420017363739773173253251995331811062154916.67%30583.33%132060552.89%30758052.93%21539254.85%592361591229458233
_Since Last GM Reset271480112193712216750012155469117301000382513360.667931492420017363739773173253251995331811062154916.67%30583.33%132060552.89%30758052.93%21539254.85%592361591229458233
_Vs Conference18860111157498104300111332858430100024213220.611579214900726222650210231200156512237342141819.51%19384.21%132060552.89%30758052.93%21539254.85%400243389151307157
_Vs Division84101011271895210001115123320010001266130.813274471001131122859610081143031023618719526.32%80100.00%132060552.89%30758052.93%21539254.85%1791091816613469

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2736W29314924297795331811062100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2714811219371
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
167501215546
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
117310003825
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
54916.67%30583.33%1
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
317325325191736373
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
32060552.89%30758052.93%21539254.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
592361591229458233


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
1 - 2026-06-147Blizzard2Muertos3WXXSommaire du match
2 - 2026-06-1514Muertos1Twisters6LSommaire du match
5 - 2026-06-1837Harfang4Muertos2LSommaire du match
6 - 2026-06-1944Muertos5Razorbacks1WSommaire du match
8 - 2026-06-2158Muertos3Orcas2WSommaire du match
9 - 2026-06-2272Blizzard4Muertos3LXXSommaire du match
11 - 2026-06-2481Muertos7Knights1WSommaire du match
13 - 2026-06-2697Stingrays3Muertos2LSommaire du match
15 - 2026-06-28105Muertos6Voltage3WSommaire du match
17 - 2026-06-30129Muertos2Dockheads4LSommaire du match
19 - 2026-07-02139Muertos3North Stars1WSommaire du match
20 - 2026-07-03151Blues1Muertos6WSommaire du match
22 - 2026-07-05163Royals3Muertos6WSommaire du match
24 - 2026-07-07180Orcas4Muertos3LXSommaire du match
25 - 2026-07-08186Lumberjacks2Muertos4WSommaire du match
27 - 2026-07-10208Muertos2Bandits1WXSommaire du match
29 - 2026-07-12220Muertos4Blizzard2WSommaire du match
30 - 2026-07-13225Militia3Muertos4WXXSommaire du match
32 - 2026-07-15238Blues5Muertos6WSommaire du match
34 - 2026-07-17253Stormbreakers2Muertos1LSommaire du match
36 - 2026-07-19267North Stars3Muertos5WSommaire du match
38 - 2026-07-21283Muertos1Stormbreakers2LSommaire du match
40 - 2026-07-23298Dockheads4Muertos2LSommaire du match
41 - 2026-07-24309Muertos4Harfang2WSommaire du match
43 - 2026-07-26322Voltage3Muertos2LSommaire du match
45 - 2026-07-28334Trident2Muertos3WSommaire du match
46 - 2026-07-29343Bandits1Muertos3WSommaire du match
48 - 2026-07-31352Muertos-Voodoo-
50 - 2026-08-02373Muertos-Dockheads-
51 - 2026-08-03382Muertos-Razorbacks-
53 - 2026-08-05395Chaos-Muertos-
55 - 2026-08-07412Muertos-Lumberjacks-
57 - 2026-08-09424Dockheads-Muertos-
59 - 2026-08-11438Knights-Muertos-
60 - 2026-08-12443Muertos-Stingrays-
62 - 2026-08-14461Orcas-Muertos-
64 - 2026-08-16475Muertos-Maulers-
66 - 2026-08-18488Muertos-Voltage-
68 - 2026-08-20505Bandits-Muertos-
69 - 2026-08-21514Lumberjacks-Muertos-
71 - 2026-08-23531Muertos-Chaos-
72 - 2026-08-24537Red Tails-Muertos-
74 - 2026-08-26549Muertos-Redbull-
76 - 2026-08-28568Razorbacks-Muertos-
78 - 2026-08-30584Muertos-Blues-
80 - 2026-09-01594Muertos-Mighty Moose-
81 - 2026-09-02605Muertos-Bandits-
83 - 2026-09-04624Muertos-Blizzard-
85 - 2026-09-06629Muertos-Privateers-
88 - 2026-09-09650Muertos-Trident-
90 - 2026-09-11663Muertos-Twisters-
92 - 2026-09-13683Muertos-Militia-
94 - 2026-09-15699Redbull-Muertos-
95 - 2026-09-16704Muertos-Red Tails-
97 - 2026-09-18719Voltage-Muertos-
99 - 2026-09-20733Muertos-Lumberjacks-
100 - 2026-09-21745Muertos-Bandits-
103 - 2026-09-24762Bandits-Muertos-
104 - 2026-09-25769Stormbreakers-Muertos-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27782Maulers-Muertos-
107 - 2026-09-28792Lumberjacks-Muertos-
110 - 2026-10-01813Muertos-Blizzard-
111 - 2026-10-02821Mighty Moose-Muertos-
113 - 2026-10-04832Twisters-Muertos-
114 - 2026-10-05839Muertos-Voltage-
118 - 2026-10-09870Bandits-Muertos-
120 - 2026-10-11885Muertos-Dynasty-
123 - 2026-10-14900Blizzard-Muertos-
125 - 2026-10-16920Muertos-Lumberjacks-
127 - 2026-10-18929Voltage-Muertos-
128 - 2026-10-19940Voodoo-Muertos-
130 - 2026-10-21946Muertos-Royals-
132 - 2026-10-23964Lumberjacks-Muertos-
134 - 2026-10-25972Dynasty-Muertos-
135 - 2026-10-26980Muertos-Voodoo-
137 - 2026-10-28993Blizzard-Muertos-
139 - 2026-10-301007Muertos-Blizzard-
141 - 2026-11-011012Privateers-Muertos-
142 - 2026-11-021022Muertos-Bandits-
144 - 2026-11-041026Muertos-Voltage-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets110654030200
Assistance90,58176,06330,43160,62515,517
Attendance PCT94.36%95.08%95.10%94.73%96.98%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
24 17076 - 94.87% 1,775,874$28,413,983$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
17,082,490$ 51,003,749$ 51,003,749$ 5,000,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
51,003,749$ 15,517,862$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
42,620,974$ 101 380,978$ 38,478,778$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
41,791,275$ 116,483,369$ 121,717,611$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
54,824,839$ 4,175,161$ 59,000,000$ 28,824,839$



Charte de profondeur

Ailier gaucheCentreAilier droit
Kody SchutzAGE:23PO:59OV:87
Donavon SorleyAGE:25PO:53OV:81
Feng XingyiAGE:25PO:55OV:79
Zayden RankineAGE:25PO:52OV:77
Geordie von Wilke (R)AGE:19PO:76OV:75
David Hutchings (R)AGE:24PO:59OV:72
Nevin CallaghanAGE:37PO:1OV:72
Kellen Hopfner (R)AGE:24PO:69OV:69
Semyon Pashkov (R)AGE:25PO:52OV:68
Trent Cully (R)AGE:23PO:60OV:64
Dalen PalmateerAGE:24PO:58OV:89
Elie Van Der MaleAGE:23PO:59OV:79
Braydon TrinhAGE:30PO:22OV:78
Zackary NowryAGE:39PO:0OV:78
Gavriil Nazarov (R)AGE:18PO:86OV:77
Francois-Xavier Barnhart (R)AGE:25PO:46OV:74
Ladzimir Lucanok (R)AGE:23PO:59OV:73
Ludvig RosnesAGE:21PO:73OV:69
Roy Perzchajlo (R)AGE:21PO:71OV:69
Forster Brittingham (R)AGE:24PO:59OV:68
Jerri Viheriaranta (R)AGE:23PO:64OV:67
Bartosch GellertAGE:25PO:57OV:64
Bjornar Brobakken (R)AGE:24PO:51OV:62
Hale LabrecqueAGE:26PO:50OV:80
Bruno-Carl YoungAGE:25PO:58OV:79
Leonard BjorklundAGE:31PO:24OV:78
Artem IvalahtiAGE:23PO:58OV:75
Enver Mendrelyuk (R)AGE:24PO:48OV:75
Soren Wanchuk (R)AGE:22PO:59OV:74
Hannu-Petteri HatinenAGE:28PO:43OV:74
Wyatt Baslyk (R)AGE:24PO:52OV:70
Jaden Herle (R)AGE:25PO:45OV:70
Timofey Lichkov (R)AGE:22PO:74OV:69
Helge Radstrom (R)AGE:23PO:61OV:67

Défense #1Défense #2Gardien
Luke VanniAGE:23PO:62OV:85
Carl StilesAGE:25PO:52OV:82
Akio NishiwakiAGE:29PO:34OV:82
Marcel Kacmarik (R)AGE:19PO:67OV:81
Vsevolod NeretinAGE:28PO:38OV:80
Casey MctavishAGE:28PO:32OV:79
Jaryd Rooke (R)AGE:19PO:62OV:78
Jonathan SharpleyAGE:32PO:21OV:76
Lenny Varley (R)AGE:18PO:86OV:75
Elan Holman (R)AGE:23PO:60OV:75
Casey Fawcett (R)AGE:23PO:55OV:74
Dicky Money (R)AGE:25PO:61OV:73
Austen Gowler (R)AGE:23PO:64OV:72
Oren Chumola (R)AGE:23PO:65OV:71
Kyrre Sakariassen (R)AGE:24PO:58OV:69
Andrew WiewelAGE:35PO:7OV:82
Lars-Bjorn SundholmAGE:31PO:23OV:79
Sargent BeasleyAGE:21PO:64OV:75
Stan Krowina (R)AGE:25PO:56OV:75
Dustin TousignantAGE:29PO:30OV:75
Keevin Arnold (R)AGE:23PO:73OV:70

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Carlin ShulerMuertos420
Gabriel PardyMuertos4116
Jesper SorensenMuertos5722026-02-22
Knut OjalaMuertos679
Makar DargevichMuertos575
Sigfrid IkaheimonenMuertos690
Spike RuddyMuertos683

Choix au repêchage

Année R1R2R3R4R5
7
8
9
10
11
Choix au repêchage conditionnel



Muertos Turning Things Around?

Par Kris Nissen (Muertos) Le Monday 8th May 2023 / 11:19pm

As the Tucson Muertos reach the quarter season mark, they find themselves sitting in 6th place in the conference with a record of 9 wins, 7 losses, and 3 overtime losses for a total of 21 points. While they are not at the top of the standings, the team has some standout players who have contributed to their success so far this season.

One such player is 34-year-old center Zackary Nowry, who has tallied 10 goals and 14 assists in just 19 games played. His strong play has earned him a +8 rating and made him a crucial player on the ice. Joining Nowry in his impressive performance is 25-year-old right winger Niclas Saarelainen, who has also put up impressive numbers with 11 goals and 9 assists in 19 games played. While his +/- rating is even, his scoring touch has made him a dangerous player to watch.

Another player who has made an impact is 26-year-old right winger Brantley Langevin, who has 4 goals and 11 assists in 19 games played, contributing to the team's offensive production. Additionally, 35-year-old left winger Michal England has also been a valuable asset with 6 goals and 8 assists, and a +8 rating.

Despite the strong performances from these players, the team has struggled defensively. 19-year-old center Dalen Palmateer has struggled with a -7 rating, and the team's defense has been inconsistent, allowing too many goals. However, the team's 35-year-old defenseman Jordie Devincentis has contributed with 2 goals and 9 assists and a +1 rating, helping to stabilize the blue line.

In the net, the Muertos have relied on the strong play of 26-year-old goaltender Lars-Bjorn Sundholm, who has a record of 6-5-1 with a save percentage of 0.911 and goals against average of 2.90 in 13 games played. His backup, 24-year-old Dustin Tousignant, has also played well with a 3-2-2 record, a save percentage of 0.913, and goals against average of 3.20 in 7 games played.

As the Muertos prepare to take on the Los Angeles Dynasty on Wednesday, May 10th, they will need to continue to rely on their offensive weapons to put pucks in the net while tightening up their defensive play. If they can do so, they will have a good chance of coming away with a win and continuing their climb up the standings.

Overall, while the team has some areas to improve, they have a solid core of players who are capable of leading them to success. With some tweaks to their defensive play, the Muertos could be a force to be reckoned with as the season progresses.

Voir commentaires (1)
Kieran Green (Dockheads) Le 10th May / 10:41pm :

good article and insight 

Nouveau commentaire




Muertos Historique de transactions




Casey Fawcett est dehors pour 1 semaine à cause de Bruised Left Arm Injury.



Muertos 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
1Donavon Sorley384135268403779828840515778.56%141719418.74244468119000420634.46%21.1203
2Dalen Palmateer41815924140023315572884149210.66%294813019.45135164933251325953.27%10.98825
3Kody Schutz3401571743312875197463134511.67%179640118.832214361042249311350.62%11.03719
4Elie Van Der Male382123197320866629574894613.00%227701018.3513364973101414754.65%30.9111
5Hale Labrecque3471581232818612046461111614.16%174604417.42241135820000231142.66%60.93611

Muertos 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
1Lars-Bjorn Sundholm26015277200.9242.7615044183693917850442190.70284
2Par Mellgren63322070.9143.0635526018120971303830.69623
3Dustin Tousignant58232480.9093.3432552018119951192450.79224
4Pierre-Anthony Back46171520.8953.592259201351283554221.0005
5Sargent Beasley2712920.9083.4614914086933472100.76913

Muertos 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
Saison régulière
18032300645327625026401612043231541381640161802130122112109327644572182651089214311610551080956472992105849816971543422.08%941089.36%01032193953.22%930167455.56%625119452.35%1712105018046881343658
28041230337330123962402390105215210844401814023211491311810830148778821781229114310210441105924583086100638017051724224.42%551180.00%11032195452.81%902168953.40%644121752.92%1716104917956811348673
380401701152528922069401790632313311716402380520215610353116289472761209499831830951105103392458279999344917701814524.86%1121883.93%51084200454.09%852159153.55%646120453.65%1796110817026811361684
480333200555264272-840191400241143138540141800314121134-138626443369740839878132982989103293761288398660816751522818.42%1452781.38%2964188151.25%921177651.86%625121551.44%1775109517466801340668
580273705272250270-2040131803222119136-1740141902050131134-3822504126623075917216280296594986951296596937416591621710.49%1172876.07%1994186253.38%914178551.20%612118251.78%1752107917736631329673
627148011219371221675001215546911730100038251336931492420017363739773173253251995331811062154916.67%30583.33%132060552.89%30758052.93%21539254.85%592361591229458233
Total Saison régulière42718714702620281914731322151216956701411171275668373211928001291177176397852114732398387119341255445378160745475552449352941567853302419912787517520.00%5539982.10%1054261024552.96%4826909553.06%3367640452.58%934657449413362471813590
Séries éliminatoires
113760000042301266000000271215716000001518-314427111300111416151518716715294331678532325624.00%15660.00%014429748.48%15027554.55%9718552.43%286176279111225110
21812600000614912105500000323118710000029181124611011621019211657122532201994068022114040028932.14%36488.89%020042347.28%20739652.27%14028349.47%395238404158319155
3734000002024-4404000001119-83300000095462035550028912456882869308903513010110.00%100100.00%07818342.62%8317248.26%6911460.53%134771786111656
Total Séries éliminatoires38221600000123103202011900000706281811700000534112441232073301032434171472508469437581421478260853631625.40%611083.61%042290346.73%44084352.19%30658252.58%816493862332661321

Muertos 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
1Donavon Sorley381523381225303214210.56%969018.18358700002027.27%11.1000
2Elie Van Der Male388263413830787710.39%2669118.19167300002050.13%00.9800
3Niclas Saarelainen3813152851227161628.02%366817.59224800004040.63%00.8400
4Hale Labrecque3712152714514611329.09%2266718.05145300021050.00%10.8101
5Dalen Palmateer3571724103550781046.73%2766018.87022300021352.36%00.7300

Muertos 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
1Lars-Bjorn Sundholm2815850.9322.471728007110445753100
2Par Mellgren85300.9202.9145300222751621000
3Dustin Tousignant11000.8974.006000439190000
4Pierre-Anthony Back21000.9193.309100562280000