Heat de Stockton

GP: 12 | W: 5 | L: 7
GF: 73 | GA: 90 | PP%: 43.42% | PK%: 67.47%
GM : Marc-Aurele Sigouin | Morale : 40 | Team Overall : 58
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Zac RinaldoXXX100.009999536871515453256070612566676640590
2Kristian VesalainenXX100.008277946277717459505658675544446440590
3Matthew PhillipsX100.006553946453686965806265606244446540590
4Eetu Tuulola (R)X98.008382866582697258505358675544446240590
5Julien GauthierX100.007344866984518556346455532547476140580
6Adam Ruzicka (R)XX98.038277926377606159745657675444446240580
7Justin KirklandXX100.007270776170758057506148624645455840570
8Martin Pospisil (R)X100.006169426369575854685450554844445340530
9Alexander Yelesin (R)X100.009847996869596658253947572544445740580
10Rinat ValievX100.008180836680646946253740633844445340580
Scratches
1Glenn GawdinXX98.007571846471747666806761655844446540620
2Ryan LombergXX98.007268816668626168506171646744446840610
3Martin KautX95.456967737367677059505954605144445940580
4Luke Philp (R)X92.357265886765606060755165626244446340580
5Sami NikuX85.157343807566696161256347662548486140610
6Oliver KylingtonX100.007142897967627158254948622555555840600
7Andrew NielsenX91.237579676279566046253539633755555040560
TEAM AVERAGE97.35776780677163675848555562454747604058
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
1Jon Gillies99.00586784915761546257563045455940600
2Artyom Zagidulin (R)100.00515771734954505652523044445340530
Scratches
TEAM AVERAGE99.5055627882535852595554304545564057
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Cail MacLean55574745473548CAN423100,000$


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
1Matthew PhillipsHeat de Stockton (CGY)C1221183944010175393739.62%722418.74891716360000242052.68%2242611013.4700000140
2Zac RinaldoHeat de Stockton (CGY)C/LW/RW121617336965035944153836.36%618515.4586141736000041135.29%17319013.5600226102
3Ryan LombergHeat de Stockton (CGY)C/LW10187251120111161213029.51%621721.72751219360004601046.67%15319032.3000000300
4Kristian VesalainenHeat de Stockton (CGY)LW/RW123182105510172482512.50%1119416.25279936000010046.15%1347002.1500001002
5Eetu TuulolaHeat de Stockton (CGY)RW1271421-36840152447185014.89%1619816.53581320500001170130.77%132315002.1200512002
6Glenn GawdinHeat de Stockton (CGY)C/RW941317-610014233182612.90%1022024.453699310004561057.14%22468001.5500000001
7Alexander YelesinHeat de Stockton (CGY)D12077-120241819670.00%1326422.06022523000132000.00%0218000.5300000000
8Sami NikuHeat de Stockton (CGY)D7044-12100132014670.00%1619728.26022525000044000.00%0214000.4000000000
9Andrew NielsenHeat de Stockton (CGY)D10044-429157136620.00%712312.3400001100004000.00%025000.6500012000
10Julien GauthierHeat de Stockton (CGY)RW9213-720781451214.29%410611.7800001000000033.33%6114000.5700000000
11Rinat ValievHeat de Stockton (CGY)D12033-351151111194100.00%1524720.63022423000037000.00%0118000.2400102000
12Martin KautHeat de Stockton (CGY)C12022-131801921239240.00%916713.98011030000170049.48%97309000.2400000000
13Luke PhilpHeat de Stockton (CGY)C7202-4002653640.00%0304.3100000000000068.75%1621001.3300000000
14Oliver KylingtonHeat de Stockton (CGY)D8011-46041010830.00%1522227.81011230000244000.00%0216000.0900000000
15Adam RuzickaHeat de Stockton (CGY)C/RW12011-9209985120.00%6715.9300000000070061.11%1824000.2800000000
16Martin PospisilHeat de Stockton (CGY)RW12011-6140412140.00%4574.8001104000000020.00%561000.3500000000
17Justin KirklandHeat de Stockton (CGY)LW/RW12000-1013581112390.00%413811.5200000000000050.00%876000.0000001000
Team Total or Average18073111184-7134213020322939213530218.62%149286715.93335083106351000123515252.74%656188155051.28008414547
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
1Jon GilliesHeat de Stockton (CGY)114400.8257.034610054309192000.000075100
2Artyom ZagidulinHeat de Stockton (CGY)71210.7638.31260003615286000.000057000
Team Total or Average185610.8057.487220090461278000.00001212100


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 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 10Link
Adam RuzickaHeat de Stockton (CGY)C/RW211999-05-11Yes203 Lbs6 ft4NoNoNo1Pro & Farm801,666$0$0$NoLink
Alexander YelesinHeat de Stockton (CGY)D241996-02-07Yes192 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLink
Andrew NielsenHeat de Stockton (CGY)D231996-11-13No210 Lbs6 ft3NoNoNo1Pro & Farm697,500$0$0$NoLink
Artyom ZagidulinHeat de Stockton (CGY)G251995-01-01Yes200 Lbs6 ft0NoNoNo1Pro & Farm842,500$0$0$NoLink
Eetu TuulolaHeat de Stockton (CGY)RW221998-03-17Yes225 Lbs6 ft2NoNoNo1Pro & Farm809,169$0$0$NoLink
Glenn GawdinHeat de Stockton (CGY)C/RW231997-03-25No191 Lbs6 ft1NoNoNo1Pro & Farm775,833$0$0$NoLink
Jon GilliesHeat de Stockton (CGY)G261994-01-21No223 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoLink
Julien GauthierHeat de Stockton (CGY)RW221997-10-15No225 Lbs6 ft4NoNoNo2Pro & Farm863,333$0$0$No863,333$Link
Justin KirklandHeat de Stockton (CGY)LW/RW231996-08-02No183 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLink
Kristian VesalainenHeat de Stockton (CGY)LW/RW211999-06-01No207 Lbs6 ft3NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Link
Luke PhilpHeat de Stockton (CGY)C241995-11-05Yes181 Lbs5 ft10NoNoNo1Pro & Farm817,501$0$0$NoLink
Martin KautHeat de Stockton (CGY)C201999-10-02No176 Lbs6 ft2NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Link
Martin PospisilHeat de Stockton (CGY)RW201999-11-19Yes183 Lbs6 ft2NoNoNo1Pro & Farm796,668$0$0$NoLink
Matthew PhillipsHeat de Stockton (CGY)C221998-04-06No154 Lbs5 ft7NoNoNo2Pro & Farm733,333$0$0$No733,333$Link
Oliver KylingtonHeat de Stockton (CGY)D231997-05-19No183 Lbs6 ft0NoNoNo1Pro & Farm730,833$0$0$NoLink
Rinat ValievHeat de Stockton (CGY)D251995-05-11No215 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLink
Ryan LombergHeat de Stockton (CGY)C/LW251994-12-09No190 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLink
Sami NikuHeat de Stockton (CGY)D231996-10-10No176 Lbs6 ft1NoNoNo1Pro & Farm775,000$0$0$NoLink
Zac RinaldoHeat de Stockton (CGY)C/LW/RW301990-06-15No192 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1923.26195 Lbs6 ft11.32784,562$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eetu Tuulola40122
2Kristian VesalainenMatthew PhillipsZac Rinaldo30122
3Justin KirklandJulien Gauthier20122
4Adam RuzickaMartin Pospisil10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Alexander YelesinRinat Valiev30122
320122
4Alexander Yelesin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Eetu Tuulola60122
2Kristian VesalainenMatthew PhillipsZac Rinaldo40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Alexander YelesinRinat Valiev40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Matthew PhillipsEetu Tuulola40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Alexander YelesinRinat Valiev40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Alexander YelesinRinat Valiev40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Matthew PhillipsEetu Tuulola40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Alexander YelesinRinat Valiev40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Eetu Tuulola
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Eetu Tuulola
Extra Forwards
Normal PowerPlayPenalty Kill
, Julien Gauthier, Adam Ruzicka, Julien GauthierAdam Ruzicka
Extra Defensemen
Normal PowerPlayPenalty Kill
, Rinat Valiev, Rinat Valiev,
Penalty Shots
, , Matthew Phillips, Eetu Tuulola, Kristian Vesalainen
Goalie
#1 : Artyom Zagidulin, #2 : Jon Gillies
Custom OT Lines Forwards
, , Matthew Phillips, Eetu Tuulola, Kristian Vesalainen, Zac Rinaldo, Zac Rinaldo, , Julien Gauthier, Adam Ruzicka, Justin Kirkland
Custom OT Lines Defensemen
, , Alexander Yelesin, Rinat Valiev,


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
1Moose du Manitoba74300000494273120000020200431000002922780.5714976125002220301233132128135127882199130372054.05%521669.23%013225152.59%11424945.78%12224050.83%24715429510317983
2Roadrunners de Tucson514000002448-24211000001418-4303000001030-2020.20024396300222030116313212813511837715778391333.33%311164.52%013225152.59%11424945.78%12224050.83%24715429510317983
Total1257000007390-17523000003438-4734000003952-13100.417731151880022203013961321281351461159356208763343.42%832767.47%013225152.59%11424945.78%12224050.83%24715429510317983
_Since Last GM Reset1257000007390-17523000003438-4734000003952-13100.417731151880022203013961321281351461159356208763343.42%832767.47%013225152.59%11424945.78%12224050.83%24715429510317983
_Vs Conference1257000007390-17523000003438-4734000003952-13100.417731151880022203013961321281351461159356208763343.42%832767.47%013225152.59%11424945.78%12224050.83%24715429510317983
_Vs Division514000002448-24211000001418-4303000001030-2020.20024396300222030116313212813511837715778391333.33%311164.52%013225152.59%11424945.78%12224050.83%24715429510317983

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1210L17311518839646115935620800
All Games
GPWLOTWOTL SOWSOLGFGA
125700007390
Home Games
GPWLOTWOTL SOWSOLGFGA
52300003438
Visitor Games
GPWLOTWOTL SOWSOLGFGA
73400003952
Last 10 Games
WLOTWOTL SOWSOL
351100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
763343.42%832767.47%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
13212813512220301
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
13225152.59%11424945.78%12224050.83%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
24715429510317983


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 - 2020-04-256Heat de Stockton7Moose du Manitoba9LBoxScore
4 - 2020-04-2714Heat de Stockton6Moose du Manitoba3WBoxScore
6 - 2020-04-2922Moose du Manitoba7Heat de Stockton6LBoxScore
8 - 2020-05-0130Moose du Manitoba7Heat de Stockton6LXBoxScore
10 - 2020-05-0338Heat de Stockton6Moose du Manitoba1WBoxScore
12 - 2020-05-0546Moose du Manitoba6Heat de Stockton8WBoxScore
14 - 2020-05-0754Heat de Stockton10Moose du Manitoba9WBoxScore
16 - 2020-05-0959Heat de Stockton1Roadrunners de Tucson9LBoxScore
18 - 2020-05-1163Heat de Stockton3Roadrunners de Tucson8LBoxScore
20 - 2020-05-1367Roadrunners de Tucson10Heat de Stockton5LBoxScore
22 - 2020-05-1571Roadrunners de Tucson8Heat de Stockton9WXBoxScore
24 - 2020-05-1775Heat de Stockton6Roadrunners de Tucson13LBoxScore



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
36 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,490,667$ 1,490,667$ 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$ 4 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
Regular Season
182403802200764913-14941201900200373440-6741201902000391473-828076411491913013802161662274910028938504290711272749102840214736.57%40815961.03%18679137549.38%666145345.84%1090232846.82%1845129419885841092530
Total Regular Season82403802200764913-14941201900200373440-6741201902000391473-828076411491913013802161662274910028938504290711272749102840214736.57%40815961.03%18679137549.38%666145345.84%1090232846.82%1845129419885841092530
11257000007390-17523000003438-4734000003952-1310731151880022203013961321281351461159356208763343.42%832767.47%013225152.59%11424945.78%12224050.83%24715429510317983
Total Playoff1257000007390-17523000003438-4734000003952-1310731151880022203013961321281351461159356208763343.42%832767.47%013225152.59%11424945.78%12224050.83%24715429510317983