Wranglers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Tommy Barr | Morale : 50 | Team Overall : 64
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.


Team Stats


General ManagerTommy Barr
Pacific Division
Western Conference




Arena Capacity5,000
Attendance
5,000




20
19
39 / 55
Prospects32


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 Average
1Egor Afanasyev (R)0XX100.00755198718147555645646955626262050710222789,167$
2Logan Brown0XX100.00715296698245555755686955636363050710253787,500$
3Matthew Phillips0X100.00526384595776884965626655572540050660253787,500$
4Emil Heineman (R)0X100.00533683577858454636576653562540050640212897,500$
5Egor Sokolov (R)0X100.00546281575675874636626546552540050640231925,000$
6Adam Gaudette0XX100.00546381565576884565596548552540050630262902,500$
7Matej Blumel (R)0X100.00515985565668794436606547552540050620231925,000$
8Hugh McGing (R)0XX100.00536481545479914136596443532540050620243869,500$
9Spencer Smallman0X100.00536382535376884036586444522540050610263777,750$
10Henry Bowlby (R)0X100.00536282535375874065586443522540050600262776,364$
11Josh Doan (R)0X100.00513785536258454036586443522540050590211750,000$
12Mitchell Balmas (R)0X100.00523583535958453965566442522540050580253750,000$
13Kevin Gravel0X100.00715197698153555940656855646464050720311762,500$
14Ryan Murray0X100.00705296698050556140696855646464050720293750,000$
15Matt Kiersted (R)0X100.00715196698042556240686955656565050720253878,750$
16Alex Vlasic (R)0X100.00525883535366763936596343512540050590222916,667$
17Colton Poolman0X100.00526184525273843736576342502540050590271787,500$
Scratches
1Collin Adams (R)0X100.00515385515458613736566338502540050570251925,000$
2Michael Vukojevic (R)0X100.00525783515263733736566337502540050570222925,000$
TEAM AVERAGE100.0057548758636369464461654756354605064
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 Average
1Mack Guzda100.0073555676766371757573742555050740222925,000$
Scratches
TEAM AVERAGE100.007355567676637175757374255505074
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
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


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 Clause Trade Block Force Waivers Contract Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary 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 10Link
Adam GaudetteWranglers (CGY)C/RW261996-10-03No194 Lbs6 ft0NoNoNo2Pro & Farm902,500$902,500$902,500$902,500$0$0$No902,500$Link / NHL Link
Alex VlasicWranglers (CGY)D222001-06-05Yes218 Lbs6 ft6NoNoNo2Pro & Farm916,667$916,667$916,667$916,667$0$0$No916,667$Link / NHL Link
Collin AdamsWranglers (CGY)LW251998-04-24Yes200 Lbs5 ft9NoNoNo1Farm Only925,000$925,000$925,000$925,000$0$0$NoLink / NHL Link
Colton PoolmanWranglers (CGY)D271995-12-18No200 Lbs6 ft0NoNoNo1Pro & Farm787,500$787,500$787,500$787,500$0$0$NoLink / NHL Link
Egor AfanasyevWranglers (CGY)C/LW222001-01-23Yes201 Lbs6 ft4NoNoNo2Pro & Farm789,167$789,167$789,167$789,167$0$0$No789,167$Link / NHL Link
Egor SokolovWranglers (CGY)LW232000-06-07Yes222 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLink / NHL Link
Emil HeinemanWranglers (CGY)LW212001-10-26Yes185 Lbs6 ft1NoNoNo2Pro & Farm897,500$897,500$897,500$897,500$0$0$No897,500$Link / NHL Link
Henry BowlbyWranglers (CGY)C261997-02-26Yes195 Lbs6 ft2NoNoNo2Pro & Farm776,364$776,364$776,364$776,364$0$0$No776,364$Link / NHL Link
Hugh McGingWranglers (CGY)LW/RW241998-07-11Yes176 Lbs5 ft8NoNoNo3Pro & Farm869,500$869,500$869,500$869,500$0$0$No869,500$869,500$Link / NHL Link
Josh DoanWranglers (CGY)RW212002-02-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLink / NHL Link
Kevin GravelWranglers (CGY)D311992-03-06No205 Lbs6 ft4NoNoNo1Pro & Farm762,500$762,500$762,500$762,500$0$0$NoLink / NHL Link
Logan BrownWranglers (CGY)C/LW251998-03-05No228 Lbs6 ft6NoNoNo3Pro & Farm787,500$787,500$787,500$787,500$0$0$No787,500$787,500$Link / NHL Link
Mack GuzdaWranglers (CGY)G222001-01-11No215 Lbs6 ft5NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Link / NHL Link
Matej BlumelWranglers (CGY)RW232000-05-31Yes198 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLink / NHL Link
Matt KierstedWranglers (CGY)D251998-04-14Yes181 Lbs6 ft0NoNoNo3Pro & Farm878,750$878,750$878,750$878,750$0$0$No878,750$878,750$Link / NHL Link
Matthew PhillipsWranglers (CGY)C251998-04-06No140 Lbs5 ft7NoNoNo3Pro & Farm787,500$787,500$787,500$787,500$0$0$No787,500$787,500$Link / NHL Link
Michael VukojevicWranglers (CGY)D222001-06-08Yes215 Lbs6 ft3NoNoNo2Farm Only925,000$925,000$925,000$925,000$0$0$No925,000$Link / NHL Link
Mitchell BalmasWranglers (CGY)C251998-03-19Yes192 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Link / NHL Link
Ryan MurrayWranglers (CGY)D291993-09-27No206 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Link / NHL Link
Spencer SmallmanWranglers (CGY)RW261996-09-09No198 Lbs6 ft1NoNoNo3Pro & Farm777,750$777,750$777,750$777,750$0$0$No777,750$777,750$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2024.50198 Lbs6 ft12.05840,410$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Hugh McGingHenry BowlbySpencer Smallman30122
230122
3Logan Brown20122
4Hugh McGingHenry Bowlby20122
5 vs 5 Defence
Line #DefenceDefenceTime %PHYDFOF
130122
2Colton PoolmanMatt Kiersted30122
3Alex Vlasic20122
4Colton Poolman20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Hugh McGingHenry BowlbySpencer Smallman50122
250122
Power Play Defence
Line #DefenceDefenceTime %PHYDFOF
150122
2Colton PoolmanMatt Kiersted50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Henry BowlbyHugh McGing50122
2Spencer Smallman50122
Penalty Kill 4 Players Defence
Line #DefenceDefenceTime %PHYDFOF
1Alex Vlasic50122
2Colton PoolmanMatt Kiersted50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenceDefenceTime %PHYDFOF
1Henry Bowlby50122Alex Vlasic50122
2Hugh McGing50122Colton PoolmanMatt Kiersted50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Henry BowlbyHugh McGing50122
2Spencer Smallman50122
4 vs 4 Defence
Line #DefenceDefenceTime %PHYDFOF
150122
2Colton PoolmanMatt Kiersted50122
Last Minute Offensive
Left WingCenterRight WingDefenceDefence
Hugh McGingHenry BowlbySpencer SmallmanColton Poolman
Last Minute Defensive
Left WingCenterRight WingDefenceDefence
Hugh McGingHenry BowlbySpencer SmallmanColton Poolman
Extra Forwards
Normal PowerPlayPenalty Kill
Mitchell Balmas, Hugh McGing, Logan BrownMitchell Balmas, Henry BowlbyLogan Brown
Extra Defencemen
Normal PowerPlayPenalty Kill
Alex Vlasic, Colton Poolman, Alex VlasicColton Poolman,
Penalty Shots
Henry Bowlby, Hugh McGing, Spencer Smallman, , Logan Brown
Goalie
#1 : , #2 :
Custom OT Lines Forwards
Henry Bowlby, Hugh McGing, Spencer Smallman, , Logan Brown, , , , , , Mitchell Balmas
Custom OT Lines Defencemen
, , Colton Poolman, Matt Kiersted, Alex Vlasic


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
0000000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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 Visiting Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity35001500
Ticket Price5025
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 0$ 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$ 0 0$ 0$




Wranglers

# 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
1Evan Bouchard7229414308-23018811572040.83%156188226.1558260138415112180.00%573.2700
2Hugh McGing1642984113-85372631493548.19%86322519.67225273602275244.90%10.7003
3Seth Jarvis825100105-11021791164121.21%63163619.961343573224150053.10%01.2812
4Henry Bowlby8232528452213712824113.28%67183122.3367132412364139.86%10.9201
5Liam Foudy8238428022814215728213.48%66166620.33551027156116354.61%00.9600

Wranglers

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Kenneth Appleby67352840.9013.4940250023423671661800.5002
2Colten Ellis155910.8744.209014163500345110.0000

Wranglers

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
202182195202711318573-25541132201410170256-864163001301148317-1695231851082814010611792178805326326192126811169819911936131.61%1495364.43%6509103649.13%467103645.08%704148247.50%1967141418705611098507
202282373703401298299-1412513012001701304041122402201128169-418529853182911991108632658911893840172868104427816691403424.29%1392780.58%11675138648.70%536118945.08%526113146.51%1701102918656751366683
Total Regular Season1645689051112616872-25682383502610340386-4682185403502276486-2101376161041165725992162039544469111425147263649941855197636603339528.53%2888072.22%171184242248.89%1003222545.08%1230261347.07%366824443735123724651190

Wranglers

# 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

Wranglers

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA