MONT-LAURIER Sommet

GP: 79 | W: 36 | L: 38 | OTL: 5 | P: 77
GF: 240 | GA: 176 | PP%: 14.61% | PK%: 82.86%
GM : Pierre Millaire | Morale : 88 | Team Overall : 59
Next Games #1034 vs HERSEY Bears
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
1Jesse Puljujarvi0X100.006742807083819264306466597154529199690
2Jordan Weal0X100.005841817861808668536865596854526379680
3Brendan Gaunce0XX100.006941817181805962466162696955537879660
4Freddie Hamilton0X100.007640796972733360466260616053545565620
5Gabriel Gagne0X100.005944686079698556505261606150504496620
6Joseph Blandisi0XX100.005846646071596660676258605853524879600
7Quinton Howden0XX100.005437806873454558405054635562546379570
8Hunter Smith0X100.005747616594494050304746505056528796540
9Mark MacMillan0XX100.004735787066454152424949515262516379530
10Reid Gardiner (R)0X100.004535827466454048304445505054509596520
11Alexander Petrovic0X100.008148646581768471305959666559577379680
12Yannick Weber0X100.006741806269726467305561636866585279640
13Jakub Jerabek0X100.006442846169687065305757616551513796620
14Willie Mitchell0X100.00654180618069554530323082489075579590
15Stuart Percy0X100.005943715071538458305347605450507879580
16Taylor Fedun0X100.005943735274646956305048665652513596580
17Dominik Masin0X100.006347605077508955304948605550504496580
18Jeremy Lauzon0X100.006243705077526952304644605150504496550
Scratches
1Dante Salituro0X100.004740786056503152505154605450504479520
2Eric Knodel0X100.004635766090474044303435504064465579500
TEAM AVERAGE100.00604275637561625738525261585753588559
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
1Michal Neuvirth100.00787375838076817979767569746279700
2Anthony Stolarz100.00615573896963666866616358517996600
Scratches
1Jake Paterson (R)100.00455065696047465553505556488779490
TEAM AVERAGE100.0061597180706264676662646158768560
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Hakstol80777776767670CAN502200,000$


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 NamePOS GP 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
1Jordan WealMONT-LAURIER Sommet (EDM)C79485199702008719243112333711.14%18163120.664372511210131327166.26%211600031.21130003146
2Alexander PetrovicMONT-LAURIER Sommet (EDM)D79245882261055260842036713611.82%126204825.93791664149000078210.00%000000.8000100447
3Brendan GaunceMONT-LAURIER Sommet (EDM)C/LW79473380-33003101755971684317.87%79191824.2851116531690000577263.55%20300030.8303000977
4Joseph BlandisiMONT-LAURIER Sommet (EDM)C/LW792443675728012477309702237.77%22130816.5614519114000005263.16%9500001.0200000344
5Yannick WeberMONT-LAURIER Sommet (EDM)D79134760231805072176511177.39%119202825.686612621460001112120.00%000100.5900000101
6Quinton HowdenMONT-LAURIER Sommet (EDM)C/LW792829571810074953651082477.67%48127916.200221029000007163.01%7300010.8900000225
7Freddie HamiltonMONT-LAURIER Sommet (EDM)C6628275518395119107298902249.40%20117617.82000000001513061.48%108000030.9411000146
8Willie MitchellMONT-LAURIER Sommet (EDM)D7984149252801208514345775.59%163193924.56314441290001104000.00%000000.5100000112
9Mark MacMillanMONT-LAURIER Sommet (EDM)C/RW791521365580274315627839.62%11128716.290118111000002157.14%9800010.5600000111
10Stuart PercyMONT-LAURIER Sommet (EDM)D79330332120099387934613.80%69177522.4706630120011188100.00%000000.3700000001
Team Total or Average777238380618310306101270968275778319368.63%6751639321.1026436931510831127624351064.31%3665001110.7527100253740
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
1Michal NeuvirthMONT-LAURIER Sommet (EDM)79363850.9252.20475681417423140300.70010790960
Team Total or Average79363850.9252.20475681417423140300.70010790960


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
Alexander PetrovicMONT-LAURIER Sommet (EDM)D263/3/1992No94 Kg193 CMNoNoNo3RFAPro & Farm1,800,000$0$0$NoLink
Anthony StolarzMONT-LAURIER Sommet (EDM)G241/20/1994No95 Kg198 CMNoNoNo1RFAPro & Farm750,000$0$0$No
Brendan GaunceMONT-LAURIER Sommet (EDM)C/LW243/25/1994No99 Kg188 CMNoNoNo6RFAPro & Farm750,000$0$0$NoLink
Dante SalituroMONT-LAURIER Sommet (EDM)RW2111/15/1996No80 Kg173 CMNoNoNo3RFAPro & Farm725,000$0$0$NoLink
Dominik MasinMONT-LAURIER Sommet (EDM)D222/1/1996No90 Kg191 CMNoNoNo1RFAPro & Farm325,000$0$0$NoLink
Eric KnodelMONT-LAURIER Sommet (EDM)D286/8/1990No102 Kg198 CMNoNoNo3UFAPro & Farm725,000$0$0$No
Freddie HamiltonMONT-LAURIER Sommet (EDM)C261/1/1992No89 Kg185 CMNoNoNo2RFAPro & Farm625,000$0$0$NoLink
Gabriel GagneMONT-LAURIER Sommet (EDM)RW2111/11/1996No85 Kg196 CMNoNoNo1RFAPro & Farm325,000$0$0$NoLink
Hunter SmithMONT-LAURIER Sommet (EDM)RW229/11/1995No105 Kg201 CMNoNoNo1RFAPro & Farm325,000$0$0$No
Jake PatersonMONT-LAURIER Sommet (EDM)G245/3/1994Yes86 Kg185 CMNoNoNo3RFAPro & Farm725,000$0$0$No
Jakub JerabekMONT-LAURIER Sommet (EDM)D275/12/1991No91 Kg180 CMNoNoNo1RFAPro & Farm325,000$0$0$NoLink
Jeremy LauzonMONT-LAURIER Sommet (EDM)D214/28/1997No93 Kg185 CMNoNoNo1RFAPro & Farm325,000$0$0$NoLink
Jesse PuljujarviMONT-LAURIER Sommet (EDM)RW205/7/1998No96 Kg193 CMNoNoNo3RFAPro & Farm750,000$0$0$NoLink
Jordan WealMONT-LAURIER Sommet (EDM)C264/15/1992No81 Kg178 CMNoNoNo1RFAPro & Farm1,500,000$0$0$NoLink
Joseph BlandisiMONT-LAURIER Sommet (EDM)C/LW247/18/1994No83 Kg183 CMNoNoNo1RFAPro & Farm680,000$0$0$NoLink
Mark MacMillanMONT-LAURIER Sommet (EDM)C/RW262/8/1992No83 Kg183 CMNoNoNo3RFAPro & Farm750,000$0$0$No
Michal NeuvirthMONT-LAURIER Sommet (EDM)G303/23/1988No95 Kg185 CMNoNoNo1UFAPro & Farm625,000$0$0$NoLink
Quinton HowdenMONT-LAURIER Sommet (EDM)C/LW261/21/1992No86 Kg188 CMNoNoNo1RFAPro & Farm650,000$0$0$No
Reid GardinerMONT-LAURIER Sommet (EDM)RW221/19/1996Yes88 Kg180 CMNoNoNo3RFAPro & Farm725,000$0$0$No
Stuart PercyMONT-LAURIER Sommet (EDM)D255/18/1993No85 Kg185 CMNoNoNo2RFAPro & Farm700,000$0$0$NoLink
Taylor FedunMONT-LAURIER Sommet (EDM)D306/4/1988No91 Kg185 CMNoNoNo3UFAPro & Farm725,000$0$0$NoLink
Willie MitchellMONT-LAURIER Sommet (EDM)D414/23/1977No95 Kg191 CMNoNoNo1UFAPro & Farm500,000$0$0$No
Yannick WeberMONT-LAURIER Sommet (EDM)D299/23/1988No91 Kg180 CMNoNoNo1UFAPro & Farm650,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2325.4390 Kg188 CM2.00694,783$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brendan Gaunce31122
2Joseph BlandisiJordan WealMark MacMillan26122
3Quinton Howden23122
4Brendan GaunceJordan Weal20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander PetrovicYannick Weber31122
2Willie MitchellStuart Percy26122
3Alexander PetrovicYannick Weber23122
4Willie MitchellStuart Percy20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brendan Gaunce55122
2Joseph BlandisiJordan WealMark MacMillan45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander PetrovicYannick Weber55122
2Willie MitchellStuart Percy45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jordan Weal55122
2Brendan Gaunce45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander PetrovicYannick Weber55122
2Willie MitchellStuart Percy45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
155122Alexander PetrovicYannick Weber55122
2Jordan Weal45122Willie MitchellStuart Percy45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jordan Weal55122
2Brendan Gaunce45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alexander PetrovicYannick Weber55122
2Willie MitchellStuart Percy45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brendan GaunceAlexander PetrovicYannick Weber
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brendan GaunceAlexander PetrovicYannick Weber
Extra Forwards
Normal PowerPlayPenalty Kill
Quinton Howden, Joseph Blandisi, Quinton Howden, Joseph Blandisi
Extra Defensemen
Normal PowerPlayPenalty Kill
Alexander Petrovic, Yannick Weber, Willie MitchellAlexander PetrovicYannick Weber, Willie Mitchell
Penalty Shots
, Jordan Weal, Brendan Gaunce, , Joseph Blandisi
Goalie
#1 : Michal Neuvirth, #2 :
Custom OT Lines Forwards
, Jordan Weal, Brendan Gaunce, , Joseph Blandisi, Quinton Howden, Quinton Howden, , Mark MacMillan, ,
Custom OT Lines Defensemen
Alexander Petrovic, Yannick Weber, Willie Mitchell, Stuart Percy,


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
1BELLEVILLE Senators22000000404110000003031100000010141.0004711029772702528691013975144710626200.00%30100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
2BRIDGEPORT Sound Tigers220000001156110000005321100000062441.00011203100977270239869101397514722714285360.00%5180.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
3BROOKLYN Wolfpack22000000251241100000013112110000001201241.00025416601977270215386910139751474429100.00%10100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
4CHICAGO Wolves4130000069-3211000005412020000015-420.25061016009772702938691013975141393518755120.00%8362.50%01423268952.92%890239337.19%502109146.01%214516481744473874451
5CLEVELAND Monsters21100000651110000005321010000012-120.500610160097727025086910139751471192314125.00%10100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
6COLORADO Eagles20100010440100000103211010000012-120.5004610009772702488691013975149319124010110.00%6183.33%01423268952.92%890239337.19%502109146.01%214516481744473874451
7CORNWALL Aces2200000017314110000008261100000091841.000172946009772702978691013975143872342000.00%4175.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
8HERSEY Bears1010000013-2000000000001010000013-200.00012300977270218869101397514279414500.00%20100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
9HOLLYWOOD Oscar660000002942533000000133103300000016115121.000295281039772702453869101397514642112122300.00%50100.00%11423268952.92%890239337.19%502109146.01%214516481744473874451
10IOWA Wild624000001818031200000111013120000078-140.33318304800977270221886910139751420764189714428.57%90100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
11LAVAL Rockets2020000026-41010000003-31010000023-100.0002350097727022186910139751483321831600.00%8450.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
12LEHIGH VALLEY Phantoms514000001015-53120000089-12020000026-420.20010142400977270212886910139751420565187820210.00%7185.71%01423268952.92%890239337.19%502109146.01%214516481744473874451
13MANITOBA Moose770000003012933000000121114400000018018141.000305383069772702512869101397514512301706116.67%000.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
14MILWAUKEE Admirals2020000027-51010000023-11010000004-400.0002460097727023186910139751486352628200.00%11281.82%01423268952.92%890239337.19%502109146.01%214516481744473874451
15PROVIDENCE Bruins30300000711-42020000068-21010000013-200.000712190097727027786910139751410834182915320.00%9366.67%01423268952.92%890239337.19%502109146.01%214516481744473874451
16PV Sharapovas2110000034-11010000013-21100000021120.5003580097727023186910139751478251225300.00%60100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
17ROCKFORD IceHogs2020000026-41010000023-11010000003-300.00024600977270251869101397514741912321100.00%50100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
18SAN DIEGO Gulls40400000411-71010000003-33030000048-400.0004711009772702114869101397514135343266800.00%15473.33%01423268952.92%890239337.19%502109146.01%214516481744473874451
19STOCKTON Flames622001011012-2320001006333020000149-560.5001014240197727021448691013975141874716791119.09%8275.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
20SYRACUSE Crunch21000001550110000002111000000134-130.7505611009772702658691013975147721826500.00%30100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
21TORONTO Marlies2010010058-31010000024-21000010034-110.250510150097727027886910139751447174288112.50%20100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
22TUSCON Roadrunners2110000045-1110000003121010000014-320.50046100097727022986910139751462281026600.00%50100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
Total7935380031224017664392016002101288642401522001021129022770.48724040364301497727022861869101397514231469832813061782614.61%1402482.86%11423268952.92%890239337.19%502109146.01%214516481744473874451
24UTICA Comets2110000056-11010000024-21100000032120.5005712009772702398691013975144920103010330.00%5180.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
25VICTORIAVILLE Tigres605001001425-1130200100611-530300000814-610.08314243800977270216086910139751425273298515426.67%11190.91%01423268952.92%890239337.19%502109146.01%214516481744473874451
26WILKIES-BARRIE Penguins33000000162142200000010191100000061561.00016274301977270216086910139751455102693133.33%10100.00%01423268952.92%890239337.19%502109146.01%214516481744473874451
_Since Last GM Reset7935380031224017664392016002101288642401522001021129022770.48724040364301497727022861869101397514231469832813061782614.61%1402482.86%11423268952.92%890239337.19%502109146.01%214516481744473874451
_Vs Conference4825180030214910049241480020075482724111000102745222550.573149250399012977270219678691013975141315401156804931313.98%63592.06%11423268952.92%890239337.19%502109146.01%214516481744473874451
_Vs Division1518150020143376810600200222117890000121165391.30043721150297727024218691013975144781468920739410.26%35877.14%01423268952.92%890239337.19%502109146.01%214516481744473874451

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7977L2240403643286123146983281306014
All Games
GPWLOTWOTL SOWSOLGFGA
7935380312240176
Home Games
GPWLOTWOTL SOWSOLGFGA
392016021012886
Visitor Games
GPWLOTWOTL SOWSOLGFGA
401522010211290
Last 10 Games
WLOTWOTL SOWSOL
450001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1782614.61%1402482.86%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8691013975149772702
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1423268952.92%890239337.19%502109146.01%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
214516481744473874451


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 - 2019-01-238MONT-LAURIER Sommet4VICTORIAVILLE Tigres6LBoxScore
2 - 2019-01-2410MONT-LAURIER Sommet4MANITOBA Moose0WBoxScore
3 - 2019-01-2524IOWA Wild4MONT-LAURIER Sommet2LBoxScore
5 - 2019-01-2742MANITOBA Moose0MONT-LAURIER Sommet2WBoxScore
7 - 2019-01-2958HOLLYWOOD Oscar0MONT-LAURIER Sommet3WBoxScore
8 - 2019-01-3067MONT-LAURIER Sommet2HOLLYWOOD Oscar1WBoxScore
9 - 2019-01-3181MONT-LAURIER Sommet2SAN DIEGO Gulls3LBoxScore
10 - 2019-02-0184MONT-LAURIER Sommet1IOWA Wild2LBoxScore
13 - 2019-02-04101STOCKTON Flames0MONT-LAURIER Sommet3WBoxScore
14 - 2019-02-05115MONT-LAURIER Sommet0LEHIGH VALLEY Phantoms3LBoxScore
15 - 2019-02-06127HOLLYWOOD Oscar2MONT-LAURIER Sommet5WBoxScore
17 - 2019-02-08147CHICAGO Wolves1MONT-LAURIER Sommet3WBoxScore
18 - 2019-02-09162MONT-LAURIER Sommet3IOWA Wild2WBoxScore
20 - 2019-02-11174VICTORIAVILLE Tigres5MONT-LAURIER Sommet3LBoxScore
22 - 2019-02-13188LEHIGH VALLEY Phantoms4MONT-LAURIER Sommet2LBoxScore
23 - 2019-02-14203MONT-LAURIER Sommet4MANITOBA Moose0WBoxScore
24 - 2019-02-15211VICTORIAVILLE Tigres3MONT-LAURIER Sommet1LBoxScore
26 - 2019-02-17229MONT-LAURIER Sommet1STOCKTON Flames2LBoxScore
27 - 2019-02-18239UTICA Comets4MONT-LAURIER Sommet2LBoxScore
29 - 2019-02-20254MONT-LAURIER Sommet1HERSEY Bears3LBoxScore
30 - 2019-02-21264MONT-LAURIER Sommet2PV Sharapovas1WBoxScore
32 - 2019-02-23276SYRACUSE Crunch1MONT-LAURIER Sommet2WBoxScore
33 - 2019-02-24288MONT-LAURIER Sommet9HOLLYWOOD Oscar0WBoxScore
34 - 2019-02-25302BROOKLYN Wolfpack1MONT-LAURIER Sommet13WBoxScore
36 - 2019-02-27316MILWAUKEE Admirals3MONT-LAURIER Sommet2LR3BoxScore
38 - 2019-03-01331MONT-LAURIER Sommet1PROVIDENCE Bruins3LBoxScore
39 - 2019-03-02342MONT-LAURIER Sommet2VICTORIAVILLE Tigres5LBoxScore
40 - 2019-03-03355VICTORIAVILLE Tigres3MONT-LAURIER Sommet2LXBoxScore
42 - 2019-03-05367MONT-LAURIER Sommet6BRIDGEPORT Sound Tigers2WBoxScore
43 - 2019-03-06379TORONTO Marlies4MONT-LAURIER Sommet2LBoxScore
45 - 2019-03-08395MONT-LAURIER Sommet0ROCKFORD IceHogs3LR3BoxScore
46 - 2019-03-09406CHICAGO Wolves3MONT-LAURIER Sommet2LBoxScore
48 - 2019-03-11421ROCKFORD IceHogs3MONT-LAURIER Sommet2LR3BoxScore
50 - 2019-03-13437MONT-LAURIER Sommet1STOCKTON Flames4LBoxScore
51 - 2019-03-14445IOWA Wild5MONT-LAURIER Sommet2LBoxScore
52 - 2019-03-15462MONT-LAURIER Sommet1SAN DIEGO Gulls2LBoxScore
53 - 2019-03-16471MONT-LAURIER Sommet1TUSCON Roadrunners4LBoxScore
54 - 2019-03-17485PV Sharapovas3MONT-LAURIER Sommet1LBoxScore
56 - 2019-03-19498MONT-LAURIER Sommet3UTICA Comets2WBoxScore
57 - 2019-03-20512BELLEVILLE Senators0MONT-LAURIER Sommet3WBoxScore
59 - 2019-03-22525MONT-LAURIER Sommet3TORONTO Marlies4LXBoxScore
60 - 2019-03-23534BRIDGEPORT Sound Tigers3MONT-LAURIER Sommet5WBoxScore
62 - 2019-03-25552MONT-LAURIER Sommet1BELLEVILLE Senators0WBoxScore
63 - 2019-03-26562MONT-LAURIER Sommet3SYRACUSE Crunch4LXXBoxScore
64 - 2019-03-27569STOCKTON Flames2MONT-LAURIER Sommet3WBoxScore
66 - 2019-03-29587IOWA Wild1MONT-LAURIER Sommet7WBoxScore
68 - 2019-03-31604CLEVELAND Monsters3MONT-LAURIER Sommet5WBoxScore
69 - 2019-04-01614MONT-LAURIER Sommet12BROOKLYN Wolfpack0WBoxScore
70 - 2019-04-02627MONT-LAURIER Sommet2VICTORIAVILLE Tigres3LBoxScore
71 - 2019-04-03635MONT-LAURIER Sommet1COLORADO Eagles2LBoxScore
73 - 2019-04-05649STOCKTON Flames1MONT-LAURIER Sommet0LXBoxScore
74 - 2019-04-06666MONT-LAURIER Sommet3IOWA Wild4LBoxScore
76 - 2019-04-08677CORNWALL Aces2MONT-LAURIER Sommet8WBoxScore
77 - 2019-04-09688MONT-LAURIER Sommet5HOLLYWOOD Oscar0WBoxScore
78 - 2019-04-10701SAN DIEGO Gulls3MONT-LAURIER Sommet0LBoxScore
80 - 2019-04-12719MONT-LAURIER Sommet0MILWAUKEE Admirals4LR3BoxScore
81 - 2019-04-13726PROVIDENCE Bruins3MONT-LAURIER Sommet2LBoxScore
82 - 2019-04-14740MONT-LAURIER Sommet1SAN DIEGO Gulls3LBoxScore
83 - 2019-04-15751MONT-LAURIER Sommet6WILKIES-BARRIE Penguins1WBoxScore
85 - 2019-04-17766WILKIES-BARRIE Penguins0MONT-LAURIER Sommet4WBoxScore
86 - 2019-04-18778COLORADO Eagles2MONT-LAURIER Sommet3WXXBoxScore
88 - 2019-04-20796HOLLYWOOD Oscar1MONT-LAURIER Sommet5WBoxScore
90 - 2019-04-22815PROVIDENCE Bruins5MONT-LAURIER Sommet4LBoxScore
93 - 2019-04-25832MONT-LAURIER Sommet5MANITOBA Moose0WBoxScore
94 - 2019-04-26845LEHIGH VALLEY Phantoms2MONT-LAURIER Sommet5WBoxScore
95 - 2019-04-27858MONT-LAURIER Sommet9CORNWALL Aces1WBoxScore
96 - 2019-04-28868MONT-LAURIER Sommet1CLEVELAND Monsters2LBoxScore
98 - 2019-04-30880WILKIES-BARRIE Penguins1MONT-LAURIER Sommet6WBoxScore
99 - 2019-05-01896LEHIGH VALLEY Phantoms3MONT-LAURIER Sommet1LBoxScore
101 - 2019-05-03912LAVAL Rockets3MONT-LAURIER Sommet0LBoxScore
102 - 2019-05-04921MONT-LAURIER Sommet5MANITOBA Moose0WBoxScore
104 - 2019-05-06937TUSCON Roadrunners1MONT-LAURIER Sommet3WBoxScore
105 - 2019-05-07949MONT-LAURIER Sommet2LEHIGH VALLEY Phantoms3LBoxScore
106 - 2019-05-08958MONT-LAURIER Sommet2STOCKTON Flames3LXXBoxScore
108 - 2019-05-10971MONT-LAURIER Sommet2LAVAL Rockets3LBoxScore
109 - 2019-05-11985MANITOBA Moose0MONT-LAURIER Sommet7WBoxScore
111 - 2019-05-131002MANITOBA Moose1MONT-LAURIER Sommet3WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
112 - 2019-05-141006MONT-LAURIER Sommet0CHICAGO Wolves2LBoxScore
114 - 2019-05-161022MONT-LAURIER Sommet1CHICAGO Wolves3LBoxScore
115 - 2019-05-171034HERSEY Bears-MONT-LAURIER Sommet-
117 - 2019-05-191044HERSEY Bears-MONT-LAURIER Sommet-
118 - 2019-05-201052MONT-LAURIER Sommet-LEHIGH VALLEY Phantoms-



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
2 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,316,501$ 1,598,000$ 1,598,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,126,574$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 6 14,983$ 89,898$




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
28785812032124391073323933500001232491833925703211207581491164398001239026214126956379412071256132020115630152814981171916.24%2423286.78%91655244867.61%753147251.15%819122466.91%275122041117384834494
308256140602438012425641297020031725911341277040212086514311238068610660201811167512332811081095109461143542554614331392820.14%2392589.54%91756250969.99%1125181861.88%856124168.98%261520081385460957544
31824427003262791571224123120012314373704121150020313684528827949377201813282633288698292196043197154436212042173214.75%1422284.51%11507260957.76%1167239148.81%639117054.62%225616791710540997520
3279353800312240176643920160021012886424015220010211290227724040364301497727022861869101397514231469832813061782614.61%1402482.86%11423268952.92%890239337.19%502109146.01%214516481744473874451
Total Regular Season32119391098614133856477416010540023376752674081618851075376632973663931338238237200786243963032312869416642854349138687619681764544165110516.13%76310386.50%2063411025561.83%3935807448.74%2816472659.59%976875405957185836632010
Playoff
2895400000191815320000011924220000089-11019325110954133195911034222982782281616.25%38392.11%020336555.62%13027846.76%5312343.09%2952182046512567
3051400000141223120000013762020000015-4214243800563014946624101324132827114.29%15193.33%07413853.62%7915850.00%416761.19%13296107335931
Total Playoff14680000033303844000002416862400000914-51233568910141171480141153144423611231103102328.70%53492.45%027750355.07%20943647.94%9419049.47%4283153129818598