Stars

GP: 4 | W: 3 | L: 1 | OTL: 0 | P: 6
GF: 13 | GA: 6 | PP%: 17.65% | PK%: 91.67%
GM : Sam Vienneau | Morale : 50 | Team Overall : 64
Next Games #61 vs Checkers

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 SP
1Zack MacEwen0X100.008280656392787561656062615770723650630
2Jake Wise0X100.005937886268798063676259616065676450620
3Tyson Kozak0X100.006539826369767762665960615863654950610
4Hunter McKown0X100.006939845978818356655958575663654350600
5Emilio Pettersen0X100.005737845966788658686056555765674850600
6Kai Uchacz0X100.007343695682737257635858595562644550600
7Scott Reedy0X100.007238936181746658625660595766685950600
8Matyas Sapovaliv0X100.007839915587737454615356585561637350590
9Chad Ruhwedel0X100.007239866270798059306258754976772350670
10Lucas Carlsson0X100.006239746572898063306760685169675050660
11Marc Del Gaizo0X100.006738846570858763306659645266685850650
12Cam Dineen0X100.006036906270878359306356654967695650640
13Santeri Hatakka0X100.006740776376807457306254654764664850630
14Filip Kral0X100.007139845880717257306155594766685250620
15Tyson Hinds0X100.007240815781678756305553584662646650610
16Jakub Dvorak0X100.008142815590626854305250574560627250600
17Joe Hicketts0X100.005537806164687759306453554769743650600
18Brandon Hickey0X100.007238915681667155305354574569715450600
Scratches
1Corson Ceulemans0X100.007140845880717456305553574562648150600
TEAM AVERAGE100.00694183607776775845595761516667535062
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 SP
1Jet Greaves100.00829187728180828180828164715750770
2Spencer Martin100.00788277827776787776787770845450760
Scratches
1Felix Sandstrom100.00748075837372747372747368815550730
2Michael Houser100.00687570746766686766686773872650680
3Keith Petruzzelli100.00667571866564666564666566756050670
TEAM AVERAGE100.0074817679737274737274736880505072
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Reirden74707371797470USA5431,000,000$


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
1Marc Del GaizoStars (Dal)D4358420411162818.75%611228.03123713000052023.81%2100001.4300000210
2Tyson KozakStars (Dal)C4145460111082312.50%69122.8800000000000050.00%2200001.0900000011
3Lucas CarlssonStars (Dal)D413442016102411124.17%811528.850001411000081033.33%1200000.6900000011
4Emilio PettersenStars (Dal)LW4303480512142721.43%19323.3100032000040067.69%6500000.6400000001
Team Total or Average168122016180364362173012.90%2141225.7712324270000193053.33%12000000.9700000233
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
1Spencer MartinStars (Dal)43100.9521.512390061240000.000040110
Team Total or Average43100.9521.512390061240000.000040110


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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Brandon HickeyD291996-04-13No201 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Cam DineenD271998-06-19No188 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Chad RuhwedelD351990-05-07No189 Lbs5 ft11NoNoNo1UFAPro & Farm1,150,000$0$0$NoLink / NHL Link
Corson CeulemansD222003-05-05No198 Lbs6 ft2NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Emilio PettersenLW252000-04-03No170 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Felix SandstromG281997-01-12No211 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Filip KralD251999-10-20No198 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Hunter McKownC232002-08-18No205 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jake WiseC252000-02-28No189 Lbs5 ft10NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jakub DvorakD202005-05-25No203 Lbs6 ft5NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Jet GreavesG242001-03-30No190 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Joe HickettsD291996-05-04No180 Lbs5 ft8NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Kai UchaczC222003-06-24No209 Lbs6 ft2NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Keith PetruzzelliG261999-02-09No185 Lbs6 ft5NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Lucas CarlssonD281997-07-05No190 Lbs6 ft0NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Marc Del GaizoD251999-10-11No188 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matyas SapovalivC212004-02-12No203 Lbs6 ft4NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Michael HouserG331992-09-13No185 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Santeri HatakkaD242001-01-15No191 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Scott ReedyC261999-04-04No205 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Spencer MartinG301995-06-08No191 Lbs6 ft3NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Tyson HindsD222003-03-12No188 Lbs6 ft3NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Tyson KozakC222002-12-29No185 Lbs5 ft11NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Zack MacEwenRW291996-07-08No227 Lbs6 ft4NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2425.83195 Lbs6 ft12.04472,917$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
3Emilio Pettersen20122
4Tyson Kozak10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc Del Gaizo40122
2Lucas Carlsson30122
320122
4Marc Del Gaizo10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc Del Gaizo60122
2Lucas Carlsson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc Del Gaizo60122
2Lucas Carlsson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Marc Del Gaizo60122
240122Lucas Carlsson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marc Del Gaizo60122
2Lucas Carlsson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Marc Del Gaizo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Marc Del Gaizo
Extra Forwards
Normal PowerPlayPenalty Kill
, Emilio Pettersen, , Emilio Pettersen
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : Spencer Martin, #2 :


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
46L113253811412436267000
All Games
GPWLOTWOTL SOWSOLGFGA
4310000136
Home Games
GPWLOTWOTL SOWSOLGFGA
110000041
Visitor Games
GPWLOTWOTL SOWSOLGFGA
321000095
Last 10 Games
WLOTWOTL SOWSOL
310000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
17317.65%12191.67%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
33384306430
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
4911243.75%5913842.75%295750.88%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1007497244221


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
2 - 2025-08-1614Stars3Wild1WBoxScore
4 - 2025-08-1823Phantoms1Stars4WBoxScore
6 - 2025-08-2037Stars5Checkers2WBoxScore
7 - 2025-08-2148Stars1Crunch2LBoxScore
9 - 2025-08-2361Checkers-Stars-
11 - 2025-08-2573Stars-Wolves-
13 - 2025-08-2791Condors-Stars-
17 - 2025-08-31114Wild-Stars-
Trade Deadline --- Trades can’t be done after this day is simulated!
21 - 2025-09-04140Wolves-Stars-
24 - 2025-09-07159Stars-Condors-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
4 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 113,500$ 113,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 18 0$ 0$




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