Login


Game Center
Draveurs
3-0-0, 6pts
5
FINAL
2 Nordiques
0-2-0, 0pts
Team Stats
W3StreakL2
1-0-0Home Record0-2-0
2-0-0Away Record0-0-0
3-0-0Last 10 Games0-2-0
5.00Goals Per Game1.00
2.67Goals Against Per Game5.50
31.58%Power Play Percentage0.00%
90.00%Penalty Kill Percentage66.67%
Vikings
1-1-0, 2pts
6
FINAL
0 Nordiques
0-2-0, 0pts
Team Stats
W1StreakL2
0-1-0Home Record0-2-0
1-0-0Away Record0-0-0
1-1-0Last 10 Games0-2-0
3.50Goals Per Game1.00
2.00Goals Against Per Game5.50
23.08%Power Play Percentage0.00%
75.00%Penalty Kill Percentage66.67%
Nordiques
0-2-0, 0pts
Day 7
Mighty Ducks
1-2-0, 2pts
Team Stats
L2StreakL2
0-2-0Home Record0-1-0
0-0-0Away Record1-1-0
0-2-0Last 10 Games1-2-0
1.00Goals Per Game4.00
5.50Goals Against Per Game4.00
0.00%Power Play Percentage20.00%
66.67%Penalty Kill Percentage81.25%
Nordiques
0-2-0, 0pts
Day 10
Vikings
1-1-0, 2pts
Team Stats
L2StreakW1
0-2-0Home Record0-1-0
0-0-0Away Record1-0-0
0-2-0Last 10 Games1-1-0
1.00Goals Per Game3.50
5.50Goals Against Per Game2.00
0.00%Power Play Percentage23.08%
66.67%Penalty Kill Percentage75.00%
HC
0-2-0, 0pts
Day 12
Nordiques
0-2-0, 0pts
Team Stats
L2StreakL2
0-1-0Home Record0-2-0
0-1-0Away Record0-0-0
0-2-0Last 10 Games0-2-0
2.00Goals Per Game1.00
4.50Goals Against Per Game5.50
16.67%Power Play Percentage0.00%
54.55%Penalty Kill Percentage66.67%
Team Leaders
Mackenzie MacEachernGoals
Mackenzie MacEachern
1
Calle RosenAssists
Calle Rosen
1
Calle RosenPoints
Calle Rosen
1
Ross JohnstonPlus/Minus
Ross Johnston
1
Nikita TolopiloWins
Nikita Tolopilo
0
Nikita TolopiloSave Percentage
Nikita Tolopilo
0.831

Team Stats
Goals For
2
1.00 GFG
Shots For
44
22.00 Avg
Power Play Percentage
0.0%
0 GF
Offensive Zone Start
35.1%
Goals Against
11
5.50 GAA
Shots Against
65
32.50 Avg
Penalty Kill Percentage
66.7%
4 GA
Defensive Zone Start
41.9%
Team Info
General ManagerSebastien Lessard
CoachDoug Weight
DivisionPacific
ConferenceWestern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team27
Farm Team20
Contract Limit47 / 50
Prospects14
Team History
This Season0-2-0 (0PTS)
History801-695-151 (0.486%)
Playoff Appearances9
Playoff Record (W-L)41-42
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
1Glenn GawdinX100.006456748064817160406160709978805518650281700,000$
2Riley TufteX100.006159697588675755405060709076726018620271700,000$
3Mackenzie MacEachernX100.007249637863605058406155704084724018610311650,000$
4Ross JohnstonX100.009980577587697249404652634084774018610311725,000$
5Marat KhusnutdinovX100.005741857947759452794855674068728018600232925,000$
6Liam O'BrienX100.009985547571706248404650644084774016590311650,000$
7Sheldon DriesX100.007150797845746450703962664084794018590311650,000$
8Stephen HallidayX100.005944767575807054705752507368748020590232925,000$
9Patrick Giles (R)X100.006958907580705547694055624072717018580253850,000$
10Kai Uchacz (R)X100.007360688468776743403848524066728518560222950,000$
11Parker Ford (R)X100.005549729150605046403458674072667018560253950,000$
12Calle RosenX100.004846827656666151405250704084754018610311700,000$
13Cam DineenX100.005544838154635858406749614076706018610271700,000$
14Montana OnyebuchiX100.007986557577686332402936664072707018600251632,500$
15Philip KempX100.008261767573605536402745654074676518590261632,500$
16Nick CicekX100.008164687567555036403537634072647018580251632,500$
17Artem GuryevX100.007570387579555032402538604066618518560222925,000$
Scratches
1Emmitt Finnie (R)X100.006445908659605046705338564062619520550203950,000$
2Matyas Sapovaliv (R)X100.007654848071807036402943509964729020540213925,000$
3Oskar PetterssonX100.005239827570766634402741594068728020520232925,000$
4Coulson Pitre (R)X100.006146848656706036403734534064679020520213925,000$
5James Stefan (R)X100.005944868754605028402035504066638520470222950,000$
6Josh Filmon (R)X100.004838878843605025402030574064629020460212950,000$
7Artem GrushnikovX100.005850827563656029402532504066668520530222925,000$
TEAM AVERAGE 100.00675574796568614347404661487270691957
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
1Nikita Tolopilo (R)100.00756466995052525050529172627019600253950,000$
2Isaac Poulter100.00886467855050505050505070607519580241800,000$
Scratches
1Jiri Patera100.00755060955050505050506074626520580261700,000$
TEAM AVERAGE100.0079596493505151505051677261701959
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Doug Weight52554344897562USA544200,000$


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
1Calle RosenNordiques (Phi)D2011-120432120.00%34422.210002700007000.00%000000.4500000000
2Cam DineenNordiques (Phi)D2011-120522030.00%44522.680002600009000.00%000000.4400000010
3Mackenzie MacEachernNordiques (Phi)LW2101-1203971014.29%04020.1600015000060033.33%300000.5000000100
4Glenn GawdinNordiques (Phi)C2011000064410.00%04221.47000070000110047.69%6500000.4700000000
5Sheldon DriesNordiques (Phi)C21010000221050.00%0178.6600000000000058.33%1200001.1500000001
6Philip KempNordiques (Phi)D2011-220420000.00%54221.450000400008000.00%000000.4700000000
7Ross JohnstonNordiques (Phi)RW2000120612040.00%03517.860001700000000.00%000000.0000000000
8Riley TufteNordiques (Phi)LW20001000410240.00%04623.42000560000100060.00%500000.0000000000
9Liam O'BrienNordiques (Phi)C2000-3195632020.00%12010.0700000000000046.15%1300000.0000001000
10Montana OnyebuchiNordiques (Phi)D2000-300820000.00%24321.870000400007000.00%000000.0000000000
11Nick CicekNordiques (Phi)D2000-220520010.00%13115.810000000002000.00%000000.0000000000
12Artem GuryevNordiques (Phi)D2000-2601210000.00%32914.820000000000000.00%000000.0000000000
13Marat KhusnutdinovNordiques (Phi)C2000-1001136020.00%14321.8300014000070060.47%4300000.0000000000
14Kai UchaczNordiques (Phi)LW2000-520221100.00%03015.4300000000000050.00%200000.0000000000
15Parker FordNordiques (Phi)RW2000-500062130.00%03015.270000000000000.00%200000.0000000000
16Patrick GilesNordiques (Phi)RW2000-220034000.00%03316.5300004000000066.67%300000.0000000000
Team Total or Average32246-2641556614411224.55%2057918.0900012590000730052.03%14800000.2100001111
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
1Nikita TolopiloNordiques (Phi)20200.8315.501200011650000.000020000
Team Total or Average20200.8315.501200011650000.000020000


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 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Artem GrushnikovNordiques (Phi)D222003-03-20No200 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Artem GuryevNordiques (Phi)D222003-05-17No220 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Calle RosenNordiques (Phi)D311994-02-02No186 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
UFA
Link / NHL Link
Cam DineenNordiques (Phi)D271998-06-19No189 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
UFA
Link / NHL Link
Coulson PitreNordiques (Phi)RW212004-12-13Yes185 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Emmitt FinnieNordiques (Phi)C202005-06-27Yes191 Lbs6 ft1NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
RFA
Link / NHL Link
Glenn GawdinNordiques (Phi)C281997-03-25No201 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
UFA
Link / NHL Link
Isaac PoulterNordiques (Phi)G242001-09-12No178 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
RFA
Link / NHL Link
James StefanNordiques (Phi)RW222003-09-09Yes186 Lbs6 ft0NoNoNo2Pro & Farm950,000$0$0$No950,000$
RFA
Link / NHL Link
Jiri PateraNordiques (Phi)G261999-02-24No209 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$No
RFA
Link / NHL Link
Josh FilmonNordiques (Phi)LW212004-03-18Yes160 Lbs6 ft1NoNoNo2Pro & Farm950,000$0$0$No950,000$
RFA
Link / NHL Link
Kai UchaczNordiques (Phi)LW222003-06-24Yes209 Lbs6 ft1NoNoNo2Pro & Farm950,000$0$0$No950,000$
RFA
Link / NHL Link
Liam O'BrienNordiques (Phi)C311994-07-29No215 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
UFA
Link / NHL Link
Mackenzie MacEachernNordiques (Phi)LW311994-03-09No192 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
UFA
Link / NHL Link
Marat KhusnutdinovNordiques (Phi)C232002-07-17No176 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Matyas SapovalivNordiques (Phi)LW212004-02-12Yes203 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Montana OnyebuchiNordiques (Phi)D252000-03-08No220 Lbs6 ft3NoNoNo1Pro & Farm632,500$0$0$No
RFA
Link / NHL Link
Nick CicekNordiques (Phi)D252000-05-29No200 Lbs6 ft3NoNoNo1Pro & Farm632,500$0$0$No
RFA
Link / NHL Link
Nikita TolopiloNordiques (Phi)G252000-04-06Yes229 Lbs6 ft6NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
UFA
Link / NHL Link
Oskar PetterssonNordiques (Phi)RW232002-04-04No209 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Parker FordNordiques (Phi)RW252000-07-20Yes186 Lbs5 ft10NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
UFA
Link / NHL Link
Patrick GilesNordiques (Phi)RW252000-01-03Yes218 Lbs6 ft5NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$
UFA
Link / NHL Link
Philip KempNordiques (Phi)D261999-02-12No212 Lbs6 ft3NoNoNo1Pro & Farm632,500$0$0$No
RFA
Link / NHL Link
Riley TufteNordiques (Phi)LW271998-04-10No230 Lbs6 ft6NoNoNo1Pro & Farm700,000$0$0$No
UFA
Link / NHL Link
Ross JohnstonNordiques (Phi)RW311994-02-18No232 Lbs6 ft5NoNoNo1Pro & Farm725,000$0$0$No
UFA
Link / NHL Link
Sheldon DriesNordiques (Phi)C311994-04-23No180 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$No
UFA
Link / NHL Link
Stephen HallidayNordiques (Phi)C232002-07-02No212 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2725.11201 Lbs6 ft21.74811,019$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Riley TufteGlenn GawdinRoss Johnston40122
2Mackenzie MacEachernMarat KhusnutdinovPatrick Giles30122
3Kai UchaczLiam O'BrienParker Ford20122
4Riley TufteSheldon DriesRoss Johnston10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Calle RosenCam Dineen40122
2Montana OnyebuchiPhilip Kemp30122
3Nick CicekArtem Guryev20122
4Calle RosenCam Dineen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Riley TufteGlenn GawdinRoss Johnston60122
2Mackenzie MacEachernMarat KhusnutdinovPatrick Giles40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Calle RosenCam Dineen60122
2Montana OnyebuchiPhilip Kemp40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Glenn GawdinRiley Tufte60122
2Marat KhusnutdinovMackenzie MacEachern40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Calle RosenCam Dineen60122
2Montana OnyebuchiPhilip Kemp40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Glenn Gawdin60122Calle RosenCam Dineen60122
2Marat Khusnutdinov40122Montana OnyebuchiPhilip Kemp40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Glenn GawdinRiley Tufte60122
2Marat KhusnutdinovMackenzie MacEachern40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Calle RosenCam Dineen60122
2Montana OnyebuchiPhilip Kemp40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Riley TufteGlenn GawdinRoss JohnstonCalle RosenCam Dineen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Riley TufteGlenn GawdinRoss JohnstonCalle RosenCam Dineen
Extra Forwards
Normal PowerPlayPenalty Kill
Marat Khusnutdinov, Liam O'Brien, Sheldon DriesMarat Khusnutdinov, Liam O'BrienMarat Khusnutdinov
Extra Defensemen
Normal PowerPlayPenalty Kill
Philip Kemp, Nick Cicek, Artem GuryevPhilip KempPhilip Kemp, Nick Cicek
Penalty Shots
Glenn Gawdin, Riley Tufte, Ross Johnston, Mackenzie MacEachern, Marat Khusnutdinov
Goalie
#1 : Nikita Tolopilo, #2 : Isaac Poulter


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
1Draveurs1010000025-31010000025-30000000000000.00024600101023131120039131233200.00%5260.00%0295255.77%316250.00%173450.00%463149142411
2Vikings1010000006-61010000006-60000000000000.0000000010102113112002672923400.00%7271.43%0295255.77%316250.00%173450.00%463149142411
Total20200000211-920200000211-90000000000000.00024600101044131120065204156600.00%12466.67%0295255.77%316250.00%173450.00%463149142411
_Since Last GM Reset20200000211-920200000211-90000000000000.00024600101044131120065204156600.00%12466.67%0295255.77%316250.00%173450.00%463149142411
_Vs Conference20200000211-920200000211-90000000000000.00024600101044131120065204156600.00%12466.67%0295255.77%316250.00%173450.00%463149142411

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
20L2246446520415600
All Games
GPWLOTWOTL SOWSOLGFGA
2020000211
Home Games
GPWLOTWOTL SOWSOLGFGA
2020000211
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
020000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
600.00%12466.67%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
13112001010
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
295255.77%316250.00%173450.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
463149142411


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
17Draveurs5Nordiques2BLBoxScore
532Vikings6Nordiques0BLBoxScore
746Nordiques-Mighty Ducks-
1065Nordiques-Vikings-
1276HC-Nordiques-
1488Nordiques-HC-
16100Nordiques-SilverKnights-
18115Remparts-Nordiques-
20125Nordiques-Remparts-
22144SilverKnights-Nordiques-
25168Roadrunners-Nordiques-
27178Nordiques-HC-
30198Vikings-Nordiques-
32210Nordiques-Draveurs-
34229Remparts-Nordiques-
37246Nordiques-Roadrunners-
38261Nordiques-SilverKnights-
39270BaronsOKC-Nordiques-
42290Nordiques-Roadrunners-
44300Cyclones-Nordiques-
46313Nordiques-Oceanic-
48329Draveurs-Nordiques-
51351Magics-Nordiques-
53366Nordiques-Spiders-
55381Nordiques-Roadrunners-
56391IceHawks-Nordiques-
58408Nordiques-EvilSharks-
60420Cyclones-Nordiques-
63444Nordiques-Checkers-
64451Nordiques-Bandits-
66462SilverKnights-Nordiques-
69484HC-Nordiques-
71505Roadrunners-Nordiques-
73522Nordiques-IceBears-
76537Nordiques-SilverKnights-
77548Wolves-Nordiques-
80571Bandits-Nordiques-
83593Mighty Ducks-Nordiques-
85608Nordiques-Senators-
87623Nordiques-Thunder-
88634Iceberg-Nordiques-
91655IceBears-Nordiques-
94674Nordiques-Magics-
96688Nordiques-Eagles-
97697Roadrunners-Nordiques-
100719IceHogs-Nordiques-
102729Nordiques-Iceberg-
105750Vikings-Nordiques-
106758Nordiques-BigBadStars-
109774Nordiques-Wolves-
110788Remparts-Nordiques-
114813Senators-Nordiques-
118839Mighty Ducks-Nordiques-
119852Nordiques-Cyclones-
122870Nordiques-BaronsOKC-
123877Darkness-Nordiques-
125895Nordiques-Draveurs-
127908Mighty Ducks-Nordiques-
130934Magics-Nordiques-
131943Nordiques-Remparts-
133957Nordiques-Draveurs-
135971HC-Nordiques-
137985Nordiques-IceBears-
139999Checkers-Nordiques-
1421027SilverKnights-Nordiques-
1451049Nordiques-Mighty Ducks-
1471059Eagles-Nordiques-
1491075Nordiques-Sagueneens-
1511088National-Nordiques-
1531101Nordiques-Iceberg-
1551119Nordiques-WolfPack-
1561124Nordiques-Remparts-
1571133Draveurs-Nordiques-
1601156Griffins-Nordiques-
1621171Nordiques-Mighty Ducks-
1651187WolfPack-Nordiques-
1661197Nordiques-HC-
1681212Pantheres-Nordiques-
Trade Deadline --- Trades can’t be done after this day is simulated!
1711223Nordiques-Vikings-
1751247WolfPack-Nordiques-
1761253Nordiques-Vikings-
1771256Nordiques-HC-



Nordiques 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
1Alexander Kharitonov1529298481779-17996322132007270111.03%8282474216.186811017829545934371248.01%70.63624
2Martin Rucinsky365115143258-42298494601106210.83%113747920.492855831641231719851.41%10.69629
3Randy Robitaille3248193174-399128467766512.18%89555117.13141832751231511560.62%10.63718
4Oleg Petrov1617293165-84532630365011.08%127386123.9913233668123139237.35%20.85213
5Sheldon Souray19731104135-96164353934856.39%261466823.701630467402217620.00%00.5800

Nordiques Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Brian Boucher21810989200.9032.151319582247348700840.777130
2Mathieu Garon125645170.8992.83745234435134771445730.84351
3Jason Labarbera87502790.9012.1952230819119380300.76952
4Louis Domingue109415970.8763.2762696134227580230.73719
5Johan Backlund77383080.8873.24449719124321471092630.77135

Nordiques 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
201782303605425289324-3541141903311144163-1941161702114145161-1674289465754000671219425950731966868254285487420862806623.57%2275774.89%5933184750.51%784160248.94%646141845.56%164083618188931661815
201882334001341223248-2541162200120121139-1841171801221102109-77122336358603045947922670581832843245376586118001844926.63%2005174.50%6867162753.29%895175351.06%610122349.88%155173616638271740872
201982333204346250246441181800113133126741151404233117120-377250408658350568410223540622808902237782592017062134923.00%1724872.09%7981178554.96%866175549.34%595115051.74%160878516188141754891
2020822340010153222253-3141131507132118114441102503021104139-3567222357579430377694205104478007862295756111515622025225.74%1995572.36%4805158650.76%899180549.81%561109651.19%149766416698541808909
202182343003078147148-141201102044776314411419010347085-157414724238911004352421403044947445016084819031730387389.82%3333888.59%11143221451.63%1172233750.15%522106349.11%1996138219766121023519
202280283702157150171-21411121021337082-12391716000248089-961150260410112053464414400496468457171348175416853454111.88%3245383.64%1932207244.98%1035228045.39%497109845.26%1806122120346131025500
202381392901444221201204025900411115823341142001033106119-138422139361436081716421580703731710201153889618403906015.38%3525384.94%11483256157.91%1419254255.82%659119055.38%192913471989601996488
202482283803274192204-12411816021311029574110220114390109-198219233352516062695118970580626662203457981519133695514.91%3045382.57%11239242751.05%1268251050.52%575114650.17%1972136519816061029515
202582363301363210216-641211500032105109-441151801331105107-29221036757703078695619540655661618192255487218713816116.01%3675285.83%21302246852.76%1215232452.28%614120451.00%2030143219365931003497
202682303903037214235-2141191403014120105154111250002394130-367921438760107090586021840734729701208660396519923564412.36%3965785.61%31259251850.00%1226247549.54%601124448.31%1928133820396121009496
202782243905473221249-2841151701242116120-44192204231105129-247922138260323080705921140741677665198660076919283574211.76%3385683.43%21159251146.16%1120236947.28%560127943.78%1943134020126111044512
203082343604323245259-14412115021201361181841132102203109141-3286245456701150103726422650795738710228967386120253485616.09%3706482.70%51260249950.42%1275260848.89%656131250.00%189113242071603992480
20318240280345229926237412611001121581174141141703340141145-4102299558857020109988429070951924992221865283820633695815.72%3416381.52%21273286144.49%1151256944.80%598131945.34%185613162148603965454
2032823828024373042614341191201333162132304119160110414212913973045788822301409069299101036981934224466074820483836416.71%3226380.43%61238292842.28%1086255242.55%561133342.09%185213212167599963457
203382462403324340282584126902211173130434120150111316715215109340640980220117137813001094910141004262675175922133505916.86%3276081.65%41229286242.94%1158269442.98%577132843.45%187213412143575947451
2034823930052243372934441191701022162157541201304202175136399833764297913014394933081010721011961263772783020823556217.46%3445982.85%21364288547.28%1293273747.24%649139246.62%191213712098587961461
203582432605044342295474123110202317414331412015030211681521610834264298421014784102301401011968997254568280521823445515.99%3486282.18%21298282345.98%1221271944.91%599139243.03%187213462138583957457
203680234205523211249-3840122102113103122-1940112103410108127-196821136557604072735918770619615622205558693019923344914.67%4096185.09%21300233955.58%1296237254.64%647120953.52%202114141835566990507
203782264203434215266-5141141902213117124-74112230122198142-44722153765910588536813179360955360950230765587719953685414.67%3915685.68%41364233058.54%1452240460.40%710124357.12%2084145718795801010520
203878244401540201258-573913210131098130-3239112300230103128-25632013555563175675410178061460454733214854685618223364814.29%3465683.82%41367223561.16%1359231358.75%741119162.22%201714271734536960499
203920200000211-920200000211-900000000000024600101044131120065204156600.00%12466.67%0295255.77%316250.00%173450.00%463149142411
Total Regular Season163365169506955818248354931-968183633150332740402506238212481528838003628414223292549-220164348358573134082684164164315811320451701236143401519913965441611298817289385916657106215.95%6422112182.54%64238254743050.23%232214678249.64%121952486449.05%373302480539006128912287111321
Playoff
2019514000001123-122110000078-130300000415-1121118291001541530564646191416210614321.43%9544.44%06311057.27%7113154.20%427655.26%10153109489851
2021624000001014-43120000057-23120000057-2410182800023495025293711627581422827.14%19384.21%16612751.97%7914753.74%529057.78%14197152478140
20231055000002533-853200000912-3523000001621-51025477201089532909996103317871353095459.26%531571.70%115335543.10%15237640.43%6615941.51%2301582968513158
2025514000001217-52110000044030300000813-52122335000165106029393016442931391815.56%32487.50%07314351.05%7918642.47%307341.10%11076151416226
2031624000001922-3312000001112-131200000810-241934531006662360688263179568013032515.63%37878.38%08923637.71%7120334.98%4010040.00%140100176426832
20321156000003643-75320000012120624000002431-7103671107000141011342011910910941813313329435411.43%62887.10%015333845.27%18644541.80%7718042.78%2191503188112656
2033624000001519-43210000099030300000610-44152742000743185066605714651771481815.56%35780.00%26917738.98%5818231.87%258429.76%12184170466929
203421165000009266261091000005033171174000004233932921752670203327317690246263255708187257556841619.05%1002476.00%132775243.48%31073442.23%16036443.96%460323568150241113
20351376000004348-56510000029236725000001425-1114437611900016131439801331171483431051313215147.84%631674.60%115140437.38%16941141.12%7121033.81%2621813669415169
Total Playoff83414200000263285-22392613000001361201644152900000127165-3882263489752230888383261308418418482582729102621453344112.28%4109078.05%61144264243.30%1175281541.74%563133642.14%1789122523116391032479

Nordiques 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
1Randy Robitaille11358-427332810.71%123020.97112200001159.91%00.6900
2Josef Boumedienne11156-54128119.09%724822.6111250001010.00%00.4800
3Oleg Petrov5246-728151711.76%513026.08112300000044.44%00.9200
4Andrei Subbotin6426150191040.00%010617.79011310110057.14%01.1200
5Eriah Hayes6415361741233.33%010217.13000100011128.57%00.9700

Nordiques Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Brian Boucher62400.8792.2337600141160000.0000
2Jason Labarbera51310.8923.3030900171580000.0000
3Anton Khudobin11000.9690.8769001320000.0000
4Johan Backlund51400.8844.27309002219083010.0000
5Erik Ersberg10001.0000.001400060000.0000