Please rotate your device to landscape mode for a better experience.
Login

Muertos
GP: 23 | W: 10 | L: 12 | OTL: 1 | P: 21
GF: 71 | GA: 79 | PP%: 13.16% | PK%: 77.14%
GM : Kris Nissen | Morale : 50 | Team Overall : 78
Next Games #280 vs Voodoo

Game Center
Voltage
12-9-2, 26pts
2
1 Muertos
10-12-1, 21pts
Team Stats
L1StreakW1
5-4-1Home Record3-5-1
7-5-1Away Record7-7-0
5-5-0Last 10 Games5-4-1
3.39Goals Per Game3.09
3.35Goals Against Per Game3.43
35.14%Power Play Percentage13.16%
86.36%Penalty Kill Percentage77.14%
Muertos
10-12-1, 21pts
3
1 Voltage
12-9-2, 26pts
Team Stats
W1StreakL1
3-5-1Home Record5-4-1
7-7-0Away Record7-5-1
5-4-1Last 10 Games5-5-0
3.09Goals Per Game3.39
3.43Goals Against Per Game3.35
13.16%Power Play Percentage35.14%
77.14%Penalty Kill Percentage86.36%
Voodoo
10-10-3, 23pts
2025-12-12
Muertos
10-12-1, 21pts
Team Stats
L1StreakW1
2-7-2Home Record3-5-1
8-3-1Away Record7-7-0
3-6-1Last 10 Games5-4-1
3.30Goals Per Game3.09
3.52Goals Against Per Game3.09
24.49%Power Play Percentage13.16%
83.64%Penalty Kill Percentage77.14%
Voltage
12-9-2, 26pts
2025-12-14
Muertos
10-12-1, 21pts
Team Stats
L1StreakW1
5-4-1Home Record3-5-1
7-5-1Away Record7-7-0
5-5-0Last 10 Games5-4-1
3.39Goals Per Game3.09
3.35Goals Against Per Game3.09
35.14%Power Play Percentage13.16%
86.36%Penalty Kill Percentage77.14%
Muertos
10-12-1, 21pts
2025-12-15
Militia
8-10-5, 21pts
Team Stats
W1StreakW1
3-5-1Home Record6-4-2
7-7-0Away Record2-6-3
5-4-1Last 10 Games3-5-2
3.09Goals Per Game3.43
3.43Goals Against Per Game3.43
13.16%Power Play Percentage21.43%
77.14%Penalty Kill Percentage72.73%
Team Leaders
Goals
Donavon Sorley
11
Assists
Donavon Sorley
21
Points
Donavon Sorley
32
Plus/Minus
Hale Labrecque
9
Wins
Lars-Bjorn Sundholm
7
Save Percentage
Sargent Beasley
0.932

Team Stats
Goals For
71
3.09 GFG
Shots For
805
35.00 Avg
Power Play Percentage
13.2%
5 GF
Offensive Zone Start
40.1%
Goals Against
79
3.43 GAA
Shots Against
831
36.13 Avg
Penalty Kill Percentage
77.1%%
8 GA
Defensive Zone Start
34.7%
Team Info

General ManagerKris Nissen
CoachStanley Cyncar
DivisionSouth West
ConferenceSouthern Conference
CaptainDalen Palmateer
Assistant #1Luke Vanni
Assistant #2Kody Schutz


Arena Info

NameLos Muertos Arena
Capacity18,000
Attendance17,042
Season Tickets7,200


Roster Info

Pro Team21
Farm Team33
Contract Limit54 / 55
Prospects4


Salary Cap

Estimated Season Salary Cap57,432,789$
Available Salary Cap1,567,211$
Special Salary Cap Value0$
Players In Salary Cap20


Finance

Year to Date Revenue15,872,976$
Year To Date Expenses14,210,982$
Estimated Season Revenue54,673,584$
Estimated Season Expenses38,443,388$
Current Bank Account96,183,730$
Projected Bank Account111,533,607$


Team History

This Season10-12-1 (21PTS)
History195-114-38 (0.562%)
Playoff Appearances3
Playoff Record (W-L)22 - 16 (0.579%)
Stanley Cup1


Filter Tips
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
# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Dalen Palmateer (C)23X100.0067587296999976949583779976665564508802344,650,000$
2Kody Schutz (A)22X100.0048377697909575967983918447436065508502254,000,000$
3Sterling Capelle16X100.0069538556927365699599936546819423507903212,500,000$
4Donavon Sorley38X100.0038395978819994995185816170636358507902433,500,000$
5Feng Xingyi28X100.0044459578849562884996588488506358507902431,700,000$
6Bruno-Carl Young24X100.0034496567608792924984949754863361507902432,200,000$
7Elie Van Der Male88X100.0044357164358785929982889474886664507802253,200,000$
8Hale Labrecque12X97.0030548981907057887372989787826856507802523,750,000$
9Dillan Dewhurst40X100.0088357992659972999167685080569735507702931,750,000$
10Zayden Rankine (R)95X100.0096537899627890625570609989863358507702421,000,000$
11Artem Ivalahti87X100.0055458689807580787280972648565364507502252,500,000$
12Wyatt Baslyk (R)41X100.0037433171918055928875419184898255507102331,000,000$
13Luke Vanni (A)2X100.0086415898999592992561726949436868508402253,500,000$
14Akio Nishiwaki5X100.0098498395409988852582766565666137508102831,999,999$
15Casey Mctavish3X100.0063587466938973972578479496586537507902741,704,800$
16Johnathon Vreeland7X100.0099457795659252782573549993357549507802611,597,000$
17Braden Dodd6X100.0099488170987775902570527038405325507803132,000,000$
18Francois Prigione (R)84X100.0069415977578772982588588992877361507402341,513,000$
Scratches
1Hannu-Petteri Hatinen14X74.4393406980976366917280685235926748507502731,100,000$
TEAM AVERAGE98.50664673827886758959797278696765525079
Filter Tips
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
# Goalie Name #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Lars-Bjorn Sundholm199.007865796799629999786060349727507903022,750,000$
2Sargent Beasley (R)47100.007957708458827974808284796070507402021,000,000$
Scratches
TEAM AVERAGE99.5079617576797289877971725779495077
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Stanley Cyncar41729491475464CAN4055,000,000$


Filter Tips
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
# Player Name Team NamePOSGP 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 SorleyMuertosLW231121324602426108226210.19%1446720.342248330000102034.38%32165011.3700000301
2Elie Van Der MaleMuertosC23101222475214562224216.13%1144119.21033431000002052.03%517810001.0011010201
3Hale LabrecqueMuertosRW237142197513058153812.07%1242418.46101832000000133.33%24158000.9911100121
4Kody SchutzMuertosLW2391120-4135163990325610.00%1345319.70101730000001158.62%29167110.8800001220
5Dalen PalmateerMuertosC236915-37543449142506.59%2246120.05011230000000049.69%4851115000.6501100103
6Artem IvalahtiMuertosRW23639-300101043142813.95%333314.50000121000002053.33%1575000.5400000011
7Bruno-Carl YoungMuertosRW23268-7408224714234.26%1234114.86000000002260054.55%2234000.4700000000
8Casey MctavishMuertosD20167495282122354.55%2642021.01000124000115000%0219000.3300010000
9Akio NishiwakiMuertosD23257-94041324118144.88%2252422.79101831000026000%099000.2700000000
10Luke VanniMuertosD23257-223574444011185.00%4557725.1200013100002000%01314000.2400010020
11Johnathon VreelandMuertosD23044-61154439321350%4749121.3500007000026000%0324000.1613001000
12Torrey BirdsellOutlaws (MUE)C19224-24017172610157.69%61779.33000110000200054.88%8233000.4500000000
13Francois PrigioneMuertosD17044-420131914690%2525515.0400013000019000%0014000.3102000000
14Feng XingyiMuertosLW15224-500018379135.41%720413.60000000000120033.33%639000.3900000010
15Marcel KacmarikOutlaws (MUE)D16134700211055320.00%1229418.4200002200002000%0813000.2701000000
16Enver MendrelyukOutlaws (MUE)RW621300010382625.00%011218.8200005000000050.00%1010000.5300000000
17Braden DoddMuertosD21123-120431512528.33%1326312.5400001200009000%007000.2300000000
18Dillan DewhurstMuertosC6112-1007516746.25%06510.94000000000100056.00%2521000.6101000001
19Zayden RankineMuertosLW15112-200139153106.67%51208.01000000000000100.00%141000.3301000000
20David HutchingsOutlaws (MUE)LW7011-3207310500%07610.9600000000040050.00%210000.2600000000
21York KikiOutlaws (MUE)LW5011000122340%4448.800000000000000%000000.4500000000
22Forster BrittinghamOutlaws (MUE)C10101-42019952420.00%611711.7100000000000027.27%4401000.1700000000
23Wyatt BaslykMuertosRW12101-3201855520.00%2937.7900000000090069.23%1312000.2100000000
24Jessie AmeryOutlaws (MUE)RW3000-100033110%2175.940000000001000%00100001000000
25Hannu-Petteri HatinenMuertosRW1000-100010010%066.40000000000000100.00%11000000000000
26Lew VoyceOutlaws (MUE)D4000-200236300%35213.080000000004000%00100000000000
27Francois-Xavier BarnhartOutlaws (MUE)C3000-200205100%1289.6200000000030041.67%121000011000000
28Ladzimir LucanokOutlaws (MUE)C2000000202000%02211.1700000000000054.55%110100000000000
29Jaryd RookeOutlaws (MUE)D1000-100210000%01313.830000100000000%00100000000000
Team Total or Average41368114182-38105354704788052734188.45%313690316.7256114232300032067250.11%1331128175120.53413232988
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Lars-Bjorn SundholmMuertos1871000.9083.2910390057618336120.8336176130
2Sargent BeasleyMuertos22000.9322.481210057341000023001
3Dustin TousignantOutlaws (MUE)51210.8913.86233001513886001.0007414000
Team Total or Average25101210.9073.311394007782946312132323131


Filter Tips
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
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Akio NishiwakiMuertosD281999-01-03JPNNo185 Lbs5 ft5NoNoTrade2024-03-31NoYes32024-06-04FalseFalsePro & Farm1,999,999$1,999,999$1,455,782$No1,999,999$1,999,999$-------1,999,999$1,999,999$-------NoNo-------
Artem IvalahtiMuertosRW222005-08-28FINNo222 Lbs6 ft7NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm2,500,000$2,500,000$1,819,728$No2,500,000$2,500,000$2,500,000$2,500,000$-----2,500,000$2,500,000$2,500,000$2,500,000$-----NoNoNoNo-----
Braden DoddMuertosD311996-12-11USANo223 Lbs6 ft7NoNoAssign Manually2024-10-16NoYes32025-02-01FalseFalsePro & Farm2,000,000$2,000,000$1,455,782$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Bruno-Carl YoungMuertosRW242003-05-28CANNo204 Lbs6 ft3NoNoAssign Manually2025-04-16NoYes32025-09-28FalseFalsePro & Farm2,200,000$2,200,000$1,601,361$No2,200,000$2,200,000$-------2,200,000$2,200,000$-------NoNo-------
Casey MctavishMuertosD272000-03-25CANNo218 Lbs6 ft7NoNoTrade2025-11-17NoYes42025-02-01FalseFalsePro & Farm1,704,800$1,704,800$1,240,909$No1,704,800$1,704,800$1,704,800$------1,704,800$1,704,800$1,704,800$------NoNoNo------
Dalen PalmateerMuertosC232004-08-01CANNo212 Lbs6 ft8NoNoAssign ManuallyNoNo42025-02-01FalseFalsePro & Farm4,650,000$4,650,000$3,384,694$No4,650,000$4,650,000$4,650,000$------4,650,000$4,650,000$4,650,000$------NoNoNo------
Dillan DewhurstMuertosC291998-08-20CANNo223 Lbs6 ft8NoNoAssign ManuallyNoNo32025-09-28FalseFalsePro & Farm1,750,000$1,750,000$1,273,810$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------
Donavon SorleyMuertosLW242003-07-22USANo191 Lbs6 ft2NoNoN/ANoYes32024-06-04FalseFalsePro & Farm3,500,000$3,500,000$2,547,619$No3,500,000$3,500,000$-------3,500,000$3,500,000$-------NoNo-------
Elie Van Der MaleMuertosC222005-07-09CANNo177 Lbs5 ft7NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm3,200,000$3,200,000$2,329,252$No3,200,000$3,200,000$3,200,000$3,200,000$-----3,200,000$3,200,000$3,200,000$3,200,000$-----NoNoNoNo-----
Feng XingyiMuertosLW242003-10-17CHNNo185 Lbs6 ft1NoNoN/ANoNo32024-06-04FalseFalsePro & Farm1,700,000$1,700,000$1,237,415$No1,700,000$1,700,000$-------1,700,000$1,700,000$-------NoNo-------
Francois PrigioneMuertosD232004-11-16CANYes194 Lbs5 ft11NoNoTrade2025-03-19NoNo42025-02-01FalseFalsePro & Farm1,513,000$1,513,000$1,101,299$No1,513,000$1,513,000$1,513,000$------1,513,000$1,513,000$1,513,000$------NoNoNo------
Hale LabrecqueMuertosRW252002-01-28USANo189 Lbs6 ft2NoNoN/ANoYes2FalseFalsePro & Farm3,750,000$3,750,000$2,729,592$No3,750,000$--------3,750,000$--------No--------
Hannu-Petteri Hatinen (Out of Payroll)MuertosRW272000-01-08FINNo210 Lbs6 ft3NoNoN/ANoNo32024-06-04FalseFalsePro & Farm1,100,000$0$0$Yes1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------
Johnathon VreelandMuertosD262001-06-20USANo173 Lbs5 ft5NoNoTrade2025-06-12NoYes1FalseFalsePro & Farm1,597,000$1,597,000$1,162,442$No---------------------------
Kody SchutzMuertosLW222005-07-02USANo206 Lbs6 ft2NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm4,000,000$4,000,000$2,911,565$No4,000,000$4,000,000$4,000,000$4,000,000$-----4,000,000$4,000,000$4,000,000$4,000,000$-----NoNoNoNo-----
Lars-Bjorn SundholmMuertosG301997-12-28SWENo169 Lbs5 ft7NoNoN/ANoNo2FalseFalsePro & Farm2,750,000$2,750,000$2,001,701$No2,750,000$--------2,750,000$--------No--------
Luke VanniMuertosD222005-03-24CANNo167 Lbs5 ft5NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm3,500,000$3,500,000$2,547,619$No3,500,000$3,500,000$3,500,000$3,500,000$-----3,500,000$3,500,000$3,500,000$3,500,000$-----NoNoNoNo-----
Sargent BeasleyMuertosG202007-10-15USAYes195 Lbs6 ft1NoNoFree AgentNoNo22025-02-21FalseFalsePro & Farm1,000,000$1,000,000$727,891$No1,000,000$--------1,000,000$--------No--------
Sterling CapelleMuertosC321995-02-27CANNo167 Lbs5 ft10NoNoFree Agent2024-03-10NoNo12025-12-10FalseFalsePro & Farm2,500,000$2,500,000$1,819,728$No---------------------------
Wyatt BaslykMuertosRW232004-03-10CANYes189 Lbs5 ft8NoNoFree AgentNoNo32024-07-11FalseFalsePro & Farm1,000,000$1,000,000$727,891$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Zayden RankineMuertosLW242003-10-22CANYes217 Lbs6 ft8NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$1,000,000$727,891$No1,000,000$--------1,000,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2125.14196 Lbs6 ft13.142,329,276$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
48,914,799$44,817,799$36,317,799$21,067,800$13,200,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kody SchutzDalen PalmateerBruno-Carl Young40023
2Donavon SorleyElie Van Der MaleHale Labrecque40023
3Feng XingyiSterling CapelleArtem Ivalahti15023
4Zayden RankineDillan DewhurstWyatt Baslyk5023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke VanniCasey Mctavish35023
2Akio NishiwakiJohnathon Vreeland35023
3Francois PrigioneBraden Dodd20023
4Luke VanniCasey Mctavish10023
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kody SchutzDalen PalmateerArtem Ivalahti50005
2Donavon SorleyElie Van Der MaleHale Labrecque50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke VanniFrancois Prigione50014
2Akio NishiwakiBraden Dodd50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dillan DewhurstBruno-Carl Young50050
2Wyatt BaslykFeng Xingyi50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Casey MctavishFrancois Prigione50050
2Johnathon VreelandAkio Nishiwaki50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dillan Dewhurst50050Casey MctavishFrancois Prigione50050
2Wyatt Baslyk50050Johnathon VreelandAkio Nishiwaki50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dalen PalmateerKody Schutz50023
2Elie Van Der MaleDonavon Sorley50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke VanniCasey Mctavish50032
2Akio NishiwakiBraden Dodd50032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kody SchutzDalen PalmateerHale LabrecqueLuke VanniAkio Nishiwaki
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kody SchutzDalen PalmateerHale LabrecqueLuke VanniCasey Mctavish
Extra Forwards
Normal PowerPlayPenalty Kill
Donavon Sorley, Bruno-Carl Young, Wyatt BaslykBruno-Carl Young, Feng XingyiDonavon Sorley
Extra Defensemen
Normal PowerPlayPenalty Kill
Johnathon Vreeland, Braden Dodd, Francois PrigioneJohnathon VreelandJohnathon Vreeland, Francois Prigione
Penalty Shots
Johnathon Vreeland, Francois Prigione, Hale Labrecque, Zayden Rankine, Dalen Palmateer
Goalie
#1 : Sargent Beasley, #2 : Lars-Bjorn Sundholm
Custom OT Lines Forwards
Dalen Palmateer, Kody Schutz, Donavon Sorley, Elie Van Der Male, Hale Labrecque, Artem Ivalahti, Bruno-Carl Young, Dillan Dewhurst, Feng Xingyi, Wyatt Baslyk
Custom OT Lines Defensemen
Luke Vanni, Akio Nishiwaki, Braden Dodd, Johnathon Vreeland, Casey Mctavish


Filter Tips
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
OverallHomeVisitor
# VS Team 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
1Dockheads11000000431000000000001100000043121.0004711001210339141003914020200.00%000%029154853.10%23947350.53%16434447.67%2012238168
2Dynasty31100010981211000006601000001032140.6679132210134211228364561023112639222.22%6183.33%029154853.10%23947350.53%16434447.67%633667255428
3Knights10001000541100010005410000000000021.00059140021113110109238120302150.00%000%029154853.10%23947350.53%16434447.67%1912268158
4North Stars2010010049-51000010034-11010000015-410.25047110012106519202517837648000%30100.00%029154853.10%23947350.53%16434447.67%382348173416
5Orcas20001010752100010003211000001043141.00079160050026732181597119642500.00%3233.33%029154853.10%23947350.53%16434447.67%432545173619
6Privateers10000010541000000000001000001054121.000561100220142171410431101124300.00%3233.33%029154853.10%23947350.53%16434447.67%2514219189
7Razorbacks1010000035-21010000035-20000000000000.0003581011103310111204126012000%000%029154853.10%23947350.53%16434447.67%2114227157
8Royals1010000012-1000000000001010000012-100.00012300100030156904415222100.00%110.00%029154853.10%23947350.53%16434447.67%2113227158
9Stingrays1010000015-4000000000001010000015-400.0001230001003813187026141515200.00%000%029154853.10%23947350.53%16434447.67%2214207168
10Stormbreakers1010000057-2000000000001010000057-200.000510150021203513111103915522000%000%029154853.10%23947350.53%16434447.67%2013217178
11Trident312000009811010000023-12110000075220.33391625004320110353441098341665300.00%80100.00%029154853.10%23947350.53%16434447.67%633865265123
12Twisters1010000025-3000000000001010000025-300.0002460000203814121202715823000%4175.00%029154853.10%23947350.53%16434447.67%2112209188
13Voltage3120000067-11010000012-12110000055020.3336814002310963539220118401156500.00%30100.00%029154853.10%23947350.53%16434447.67%613769244824
14Voodoo2110000010731010000046-21100000061520.500101626001450751930260792613336233.33%4175.00%029154853.10%23947350.53%16434447.67%432842163317
Total23512021307179-8915021002732-51447000304447-3210.457711141852023232068052692732542283130810547538513.16%35877.14%029154853.10%23947350.53%16434447.67%488296517193392197
_Since Last GM Reset23512021307179-8915021002732-51447000304447-3210.457711141852023232068052692732542283130810547538513.16%35877.14%029154853.10%23947350.53%16434447.67%488296517193392197
_Vs Conference19590113058580815011002228-611440003036306190.5005889147201920155663219222215207012527738534411.76%31777.42%029154853.10%23947350.53%16434447.67%403243428159324164
_Vs Division823010202220241201000101004110002012102100.62522305210865427595938215291902916119210.53%12375.00%029154853.10%23947350.53%16434447.67%169991826713972

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2321W17111418580583130810547520
All Games
GPWLOTWOTL SOWSOLGFGA
2351221307179
Home Games
GPWLOTWOTL SOWSOLGFGA
91521002732
Visitor Games
GPWLOTWOTL SOWSOLGFGA
144700304447
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
38513.16%35877.14%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
269273254222323206
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
29154853.10%23947350.53%16434447.67%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
488296517193392197


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2025-11-028Muertos3Dynasty2WXXBox score
3 - 2025-11-0424Muertos1North Stars5LBox score
5 - 2025-11-0633Voodoo6Muertos4LBox score
6 - 2025-11-0748Muertos5Trident2WBox score
8 - 2025-11-0955Trident3Muertos2LBox score
10 - 2025-11-1167Muertos2Voltage4LBox score
12 - 2025-11-1379Razorbacks5Muertos3LBox score
13 - 2025-11-1488Muertos5Stormbreakers7LBox score
15 - 2025-11-16103Muertos4Orcas3WXXBox score
17 - 2025-11-18115Muertos2Twisters5LBox score
19 - 2025-11-20132Muertos2Trident3LBox score
20 - 2025-11-21139Orcas2Muertos3WXBox score
22 - 2025-11-23152Muertos4Dockheads3WBox score
24 - 2025-11-25167Muertos5Privateers4WXXBox score
26 - 2025-11-27179Muertos1Royals2LBox score
27 - 2025-11-28186Dynasty4Muertos2LBox score
29 - 2025-11-30194Muertos1Stingrays5LBox score
30 - 2025-12-01207North Stars4Muertos3LXBox score
32 - 2025-12-03218Knights4Muertos5WXBox score
34 - 2025-12-05232Dynasty2Muertos4WBox score
36 - 2025-12-07245Muertos6Voodoo1WBox score
37 - 2025-12-08252Voltage2Muertos1LBox score
39 - 2025-12-10263Muertos3Voltage1WBox score
41 - 2025-12-12280Voodoo-Muertos-
43 - 2025-12-14292Voltage-Muertos-
44 - 2025-12-15300Muertos-Militia-
46 - 2025-12-17312Blizzard-Muertos-
48 - 2025-12-19332Muertos-Blues-
50 - 2025-12-21334Muertos-Bandits-
52 - 2025-12-23355Dockheads-Muertos-
54 - 2025-12-25367Muertos-Redbull-
55 - 2025-12-26374Harfang-Muertos-
57 - 2025-12-28388Muertos-Chaos-
59 - 2025-12-30405Royals-Muertos-
61 - 2026-01-01415Muertos-Mighty Moose-
62 - 2026-01-02423Bandits-Muertos-
64 - 2026-01-04437Muertos-Dynasty-
65 - 2026-01-05444Orcas-Muertos-
67 - 2026-01-07455Muertos-Dockheads-
69 - 2026-01-09473Muertos-Orcas-
71 - 2026-01-11480Muertos-Harfang-
72 - 2026-01-12492Privateers-Muertos-
74 - 2026-01-14507Muertos-Privateers-
76 - 2026-01-16522Muertos-Razorbacks-
78 - 2026-01-18532Royals-Muertos-
79 - 2026-01-19538Redbull-Muertos-
81 - 2026-01-21554Twisters-Muertos-
83 - 2026-01-23567Muertos-Voltage-
85 - 2026-01-25580Muertos-Razorbacks-
86 - 2026-01-26588Blues-Muertos-
88 - 2026-01-28602Muertos-Blues-
90 - 2026-01-30616Muertos-North Stars-
92 - 2026-02-01625Chaos-Muertos-
94 - 2026-02-03640North Stars-Muertos-
96 - 2026-02-05650Stingrays-Muertos-
97 - 2026-02-06661Blues-Muertos-
100 - 2026-02-09681Maulers-Muertos-
102 - 2026-02-11693Militia-Muertos-
104 - 2026-02-13710Muertos-Dynasty-
106 - 2026-02-15723Muertos-Voodoo-
110 - 2026-02-19745Muertos-Royals-
Trade Deadline --- Trades can’t be done after this day is simulated!
111 - 2026-02-20752Dockheads-Muertos-
113 - 2026-02-22761Stormbreakers-Muertos-
115 - 2026-02-24779Mighty Moose-Muertos-
117 - 2026-02-26788Muertos-Knights-
118 - 2026-02-27799Razorbacks-Muertos-
120 - 2026-03-01810Voltage-Muertos-
122 - 2026-03-03822Muertos-Blizzard-
124 - 2026-03-05834Muertos-Maulers-
125 - 2026-03-06842Dynasty-Muertos-
127 - 2026-03-08853Trident-Muertos-
128 - 2026-03-09861Privateers-Muertos-
131 - 2026-03-12872Voltage-Muertos-
132 - 2026-03-13884Muertos-Voltage-
134 - 2026-03-15894Muertos-Orcas-
137 - 2026-03-18910Orcas-Muertos-
139 - 2026-03-20922Orcas-Muertos-
141 - 2026-03-22935Muertos-Dynasty-
142 - 2026-03-23941Dynasty-Muertos-
145 - 2026-03-26955Muertos-Orcas-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price110654030200
Attendance50,70142,91617,18434,1858,391
Attendance PCT93.89%95.37%95.47%94.96%93.23%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
31 17042 - 94.68% 1,763,664$15,872,976$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
14,210,982$ 47,814,799$ 47,814,799$ 5,000,000$0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
47,814,799$ 14,210,982$ 0$ 20 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
54,673,584$ 107 359,284$ 38,443,388$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
41,813,312$ 96,183,730$ 111,533,607$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
57,432,789$ 1,567,211$ 59,000,000$ 31,432,789$



Depth Chart

Left WingCenterRight Wing
Kody SchutzAGE:22PO:65OV:85
Donavon SorleyAGE:24PO:58OV:79
Feng XingyiAGE:24PO:58OV:79
Zayden Rankine (R)AGE:24PO:58OV:77
Geordie von Wilke (R)AGE:18PO:82OV:74
David Hutchings (R)AGE:23PO:65OV:71
York KikiAGE:26PO:53OV:70
Kellen Hopfner (R)AGE:23PO:69OV:69
Semyon Pashkov (R)AGE:24PO:55OV:69
Trent Cully (R)AGE:22PO:63OV:64
Dalen PalmateerAGE:23PO:64OV:88
Sterling CapelleAGE:32PO:23OV:79
Elie Van Der MaleAGE:22PO:64OV:78
Dillan DewhurstAGE:29PO:35OV:77
Torrey BirdsellAGE:32PO:18OV:77
Francois-Xavier Barnhart (R)AGE:24PO:52OV:72
Ladzimir Lucanok (R)AGE:22PO:65OV:71
Forster Brittingham (R)AGE:23PO:64OV:69
Jerri Viheriaranta (R)AGE:22PO:68OV:67
Bartosch GellertAGE:24PO:57OV:64
Bjornar Brobakken (R)AGE:23PO:55OV:64
Jessie AmeryAGE:38PO:1OV:81
Bruno-Carl YoungAGE:24PO:61OV:79
Hale LabrecqueAGE:25PO:56OV:78
Artem IvalahtiAGE:22PO:64OV:75
Hannu-Petteri HatinenAGE:27PO:48OV:75
Enver Mendrelyuk (R)AGE:23PO:53OV:73
Soren Wanchuk (R)AGE:21PO:62OV:72
Wyatt Baslyk (R)AGE:23PO:55OV:71
Jaden Herle (R)AGE:24PO:51OV:71
Helge Radstrom (R)AGE:22PO:66OV:67
Blaine Wolff (R)AGE:24PO:55OV:64

Defense #1Defense #2Goalie
Luke VanniAGE:22PO:68OV:84
Akio NishiwakiAGE:28PO:37OV:81
Marcel Kacmarik (R)AGE:18PO:73OV:80
Casey MctavishAGE:27PO:37OV:79
Johnathon VreelandAGE:26PO:49OV:78
Braden DoddAGE:31PO:25OV:78
Jaryd Rooke (R)AGE:18PO:67OV:76
Jonathan SharpleyAGE:31PO:21OV:76
Francois Prigione (R)AGE:23PO:61OV:74
Elan Holman (R)AGE:22PO:66OV:73
Dicky Money (R)AGE:24PO:61OV:73
Lew VoyceAGE:35PO:9OV:72
Oren Chumola (R)AGE:22PO:70OV:71
Austen Gowler (R)AGE:22PO:68OV:71
Kyrre Sakariassen (R)AGE:23PO:62OV:70
Dave KarrysAGE:25PO:55OV:66
John Sodke (R)AGE:23PO:61OV:63
Lars-Bjorn SundholmAGE:30PO:27OV:79
Tord Tourula (R)AGE:23PO:66OV:75
Stan Krowina (R)AGE:24PO:56OV:75
Dustin TousignantAGE:28PO:36OV:75
Sargent Beasley (R)AGE:20PO:70OV:74

Prospects

Filter Tips
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
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
Carlin ShulerMuertos420
Florian RautenbergMuertos581
Gabriel PardyMuertos4116
Makar DargevichMuertos575

Draft Picks

Year R1R2R3R4R5
6
7
8
9
10
Conditional Draft Picks



Muertos Turning Things Around?

By Kris Nissen (Muertos) On 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.

View comments (1)
Kieran Green (Dockheads) On 10th May / 10:41pm :

good article and insight 

New Comment



Muertos Trade History

[12/10/2025 6:28:39 PM] Sterling Capelle signed with Muertos for $2,500,000 for 1 year(s).
[12/10/2025 6:28:39 PM] Sterling Capelle was added to Muertos.



Hannu-Petteri Hatinen is out for 3 weeks because of a Strained Right Elbow Injury.



Muertos Players Stat Leaders (Regular Season)

# Player Name 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 Sorley300107209316568621930912508.56%104561818.73194059103000416435.03%21.1202
2Dalen Palmateer33412119331419245425720120910.01%245646519.36124254723141121752.88%10.97621
3Elie Van Der Male298100153253596222259574213.48%179549418.4412334558101411754.58%30.9211
4Kody Schutz2591201292491261146342100711.92%131488118.8518102872123823850.17%11.02515
5Hale Labrecque26412099219591033835183814.32%140457417.3321103163000018941.70%40.96611

Muertos Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Lars-Bjorn Sundholm21012557190.9252.7412208163557744541311580.69375
2Par Mellgren63322070.9143.0635526018120971303830.69623
3Dustin Tousignant50192170.9093.3928012015817441048450.78919
4Pierre-Anthony Back46171520.8953.592259201351283554221.0005
5Tord Tourula22000.8884.3912300980370000

Muertos Career Team Stats

OverallHomeVisitor
Year 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
Regular Season
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
523512021307179-8915021002732-51447000304447-321711141852023232068052692732542283130810547538513.16%35877.14%029154853.10%23947350.53%16434447.67%488296517193392197
Total Regular Season3431511140221822161201106014116976490139139609533761747565099975925276542412011951315218334345036465131004462452339952461259143512040732269715422.09%4417483.22%84403832652.88%3844720353.37%2704517452.26%748945997566292557872881
Playoff
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 Playoff38221600000123103202011900000706281811700000534112441232073301032434171472508469437581421478260853631625.40%611083.61%042290346.73%44084352.19%30658252.58%816493862332661321

Muertos Players Stat Leaders (Play-Off)

# Player Name 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 Goalies Stat Leaders (Play-Off)

# Goalie Name 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