Login


Game Center
Roadrunners
3-0-0, 6pts
5
FINAL
4 Mighty Ducks
1-2-0, 2pts
Team Stats
W3StreakL2
1-0-0Home Record0-1-0
2-0-0Away Record1-1-0
3-0-0Last 10 Games1-2-0
5.00Goals Per Game4.00
3.00Goals Against Per Game4.00
41.67%Power Play Percentage20.00%
75.00%Penalty Kill Percentage81.25%
Mighty Ducks
1-2-0, 2pts
5
FINAL
6 Draveurs
3-0-0, 6pts
Team Stats
L2StreakW3
0-1-0Home Record1-0-0
1-1-0Away Record2-0-0
1-2-0Last 10 Games3-0-0
4.00Goals Per Game5.00
4.00Goals Against Per Game2.67
20.00%Power Play Percentage31.58%
81.25%Penalty Kill Percentage90.00%
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%
Mighty Ducks
1-2-0, 2pts
Day 10
Remparts
0-1-0, 0pts
Team Stats
L2StreakL1
0-1-0Home Record0-1-0
1-1-0Away Record0-0-0
1-2-0Last 10 Games0-1-0
4.00Goals Per Game2.00
4.00Goals Against Per Game6.00
20.00%Power Play Percentage0.00%
81.25%Penalty Kill Percentage50.00%
Vikings
1-1-0, 2pts
Day 12
Mighty Ducks
1-2-0, 2pts
Team Stats
W1StreakL2
0-1-0Home Record0-1-0
1-0-0Away Record1-1-0
1-1-0Last 10 Games1-2-0
3.50Goals Per Game4.00
2.00Goals Against Per Game4.00
23.08%Power Play Percentage20.00%
75.00%Penalty Kill Percentage81.25%
Team Leaders
Ryan LombergGoals
Ryan Lomberg
1
Sebastiann AhoAssists
Sebastiann Aho
5
Sebastiann AhoPoints
Sebastiann Aho
5
Sebastiann AhoPlus/Minus
Sebastiann Aho
1

Team Stats
Goals For
12
4.00 GFG
Shots For
101
33.67 Avg
Power Play Percentage
20.0%
2 GF
Offensive Zone Start
38.7%
Goals Against
12
4.00 GAA
Shots Against
100
33.33 Avg
Penalty Kill Percentage
81.3%
3 GA
Defensive Zone Start
42.2%
Team Info
General Manager
CoachGeordie Kinnear
DivisionPacific
ConferenceWestern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team26
Farm Team19
Contract Limit45 / 50
Prospects7
Team History
This Season1-2-0 (2PTS)
History334-338-64 (0.454%)
Playoff Appearances3
Playoff Record (W-L)3-12
Stanley Cup0


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
1AJ GreerX100.009969587572719854405156664080765020630291925,000$
2Martin FrkX100.005951718068766662406063539986813521630323575,000$
3Arttu Hyry (R)X100.007351868568766655705159709070737521630243575,000$
4Ryan LombergX100.0075597679476998524050536140847740206003111,500,000$
5Kieffer BellowsX100.008348847761725654404959614076746021600271600,000$
6Curtis DouglasX100.009948537599726240703743604072727021570251907,500$
7Graeme ClarkeX100.0058707976567363494047515073707275215602411,120,000$
8Jonathan GrudenX100.0099576875576959377034417040727170215502511,120,000$
9Viktor LodinX100.005347667558605047404648529974676521540261907,500$
10Filip CederqvistX100.006457827569605034402938624072667021510251825,000$
11Arber XhekajX100.0099795675897491494046526840707275216802441,500,000$
12Vincent DesharnaisX100.0080747275887678474045507140807850216702952,000,000$
13Parker WotherspoonX100.0072478676598081514049527140787955216602811,300,000$
14Connor CarrickX100.006363588155676258405065654084764021630313575,000$
15Steven SantiniX100.0088528375746257394036437040827245216203011,500,000$
16Xavier OuelletX100.008748807561555042405034694086713521610321650,000$
17Hunter SkinnerX100.0069526275667570414037446240707375216002411,120,000$
18Sebastiann AhoX100.0057418476485550464063305940806850205702911,925,000$
19Xavier BernardX100.006152737574555030403030654072647021560251907,500$
Scratches
1Jachym KondelikX100.004948787550605037703341584074676520500261825,000$
2Carson FochtX100.0061596775496050357034365540726670204902511,120,000$
3Johan SodergranX100.007363877568605031402933504074676520490261931,700$
4Dillon HamaliukX100.006256737567605033403136504072667020490251907,500$
TEAM AVERAGE 100.00735673766567634447434662497672602158
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
1Adam Huska100.00755060975060505050508778695522600283575,000$
2Oscar Dansk100.00756565925050505050504084674022590313575,000$
Scratches
1Olle Eriksson-Ek100.00755060875050505050504074626520570263575,000$
TEAM AVERAGE100.0075556292505350505050567966532159
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Geordie Kinnear58777371877566CAN525200,000$


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
1Sebastiann AhoMighty Ducks (Ana)D3055120635200.00%86120.410114500007000.00%000001.6300000200
2Ryan LombergMighty Ducks (Ana)LW3112-1206772314.29%03311.2800000000050050.00%200001.1800000102
3AJ GreerMighty Ducks (Ana)LW30110601156990.00%05819.39000100001120083.33%600000.3400000020
Team Total or Average9178010023151813125.56%815317.03011560001250075.00%800001.0400000322
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
Team Total or Average0.0000.0000.000


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 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
AJ GreerMighty Ducks (Ana)LW291996-12-14No209 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$No
UFA
Link / NHL Link
Adam HuskaMighty Ducks (Ana)G281997-05-12No218 Lbs6 ft4NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Link / NHL Link
Arber XhekajMighty Ducks (Ana)D242001-01-30No240 Lbs6 ft4NoNoNo4Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$
RFA
Link / NHL Link
Arttu HyryMighty Ducks (Ana)C242001-04-06Yes209 Lbs6 ft1NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
RFA
Link / NHL Link
Carson FochtMighty Ducks (Ana)C252000-02-04No175 Lbs6 ft0NoNoNo1Pro & Farm1,120,000$0$0$No
RFA
Link / NHL Link
Connor CarrickMighty Ducks (Ana)D311994-04-13No192 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Link / NHL Link
Curtis DouglasMighty Ducks (Ana)C252000-03-06No242 Lbs6 ft9NoNoNo1Pro & Farm907,500$0$0$No
RFA
Link / NHL Link
Dillon HamaliukMighty Ducks (Ana)LW252000-10-30No200 Lbs6 ft3NoNoNo1Pro & Farm907,500$0$0$No
RFA
Link / NHL Link
Filip CederqvistMighty Ducks (Ana)RW252000-08-23No203 Lbs6 ft3NoNoNo1Pro & Farm825,000$0$0$No
RFA
Link / NHL Link
Graeme ClarkeMighty Ducks (Ana)RW242001-04-24No190 Lbs6 ft0NoNoNo1Pro & Farm1,120,000$0$0$No
RFA
Link / NHL Link
Hunter SkinnerMighty Ducks (Ana)D242001-04-29No198 Lbs6 ft3NoNoNo1Pro & Farm1,120,000$0$0$No
RFA
Link / NHL Link
Jachym KondelikMighty Ducks (Ana)C261999-12-21No232 Lbs6 ft7NoNoNo1Pro & Farm825,000$0$0$No
RFA
Link / NHL Link
Johan SodergranMighty Ducks (Ana)RW261999-11-20No205 Lbs6 ft2NoNoNo1Pro & Farm931,700$0$0$No
RFA
Link / NHL Link
Jonathan GrudenMighty Ducks (Ana)C252000-05-04No192 Lbs6 ft0NoNoNo1Pro & Farm1,120,000$0$0$No
RFA
Link / NHL Link
Kieffer BellowsMighty Ducks (Ana)LW271998-06-10No195 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
UFA
Link / NHL Link
Martin FrkMighty Ducks (Ana)LW321993-10-05No210 Lbs6 ft1NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Link / NHL Link
Olle Eriksson-EkMighty Ducks (Ana)G261999-06-22No183 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Link / NHL Link
Oscar DanskMighty Ducks (Ana)G311994-02-28No201 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Link / NHL Link
Parker WotherspoonMighty Ducks (Ana)D281997-08-24No192 Lbs6 ft1NoNoNo1Pro & Farm1,300,000$0$0$No
UFA
Link / NHL Link
Ryan LombergMighty Ducks (Ana)LW311994-12-09No184 Lbs5 ft9NoNoNo1Pro & Farm1,500,000$0$0$No
UFA
Link / NHL Link
Sebastiann AhoMighty Ducks (Ana)D291996-02-17No180 Lbs5 ft10NoNoNo1Pro & Farm1,925,000$0$0$No
UFA
Link / NHL Link
Steven SantiniMighty Ducks (Ana)D301995-03-07No214 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$0$0$No
UFA
Link / NHL Link
Viktor LodinMighty Ducks (Ana)LW261999-06-02No185 Lbs6 ft2NoNoNo1Pro & Farm907,500$0$0$No
RFA
Link / NHL Link
Vincent DesharnaisMighty Ducks (Ana)D291996-05-29No226 Lbs6 ft7YesNoNo5Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$2,000,000$2,000,000$
UFA
Link / NHL Link
Xavier BernardMighty Ducks (Ana)D252000-01-06No210 Lbs6 ft4NoNoNo1Pro & Farm907,500$0$0$No
RFA
Link / NHL Link
Xavier OuelletMighty Ducks (Ana)D321993-07-29No200 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2627.19203 Lbs6 ft21.731,001,604$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2AJ Greer30122
3Ryan Lomberg20122
4AJ Greer10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastiann Aho40122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2AJ Greer40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastiann Aho60122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1AJ Greer60122
2Ryan Lomberg40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastiann Aho60122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Sebastiann Aho60122
2AJ Greer4012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1AJ Greer60122
2Ryan Lomberg40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastiann Aho60122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sebastiann Aho
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sebastiann Aho
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, AJ Greer, , Ryan Lomberg,
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
1Checkers11000000312000000000001100000031221.00036900624032442037020812207114.29%6183.33%0519951.52%5810853.70%194938.78%674777213416
2Draveurs1010000056-1000000000001010000056-100.000581300624040442037041181224200.00%6183.33%0519951.52%5810853.70%194938.78%674777213416
3Roadrunners1010000045-11010000045-10000000000000.000481200624029442037039583211100.00%4175.00%0519951.52%5810853.70%194938.78%674777213416
Total31200000121201010000045-12110000087120.333122234006240101442037010031327610220.00%16381.25%0519951.52%5810853.70%194938.78%674777213416
_Since Last GM Reset31200000121201010000045-12110000087120.333122234006240101442037010031327610220.00%16381.25%0519951.52%5810853.70%194938.78%674777213416
_Vs Conference31200000121201010000045-12110000087120.333122234006240101442037010031327610220.00%16381.25%0519951.52%5810853.70%194938.78%674777213416
_Vs Division1020000045-11010000045-10010000000000.000481200624029442037039583211100.00%4175.00%0519951.52%5810853.70%194938.78%674777213416

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
32L212223410110031327600
All Games
GPWLOTWOTL SOWSOLGFGA
31200001212
Home Games
GPWLOTWOTL SOWSOLGFGA
101000045
Visitor Games
GPWLOTWOTL SOWSOLGFGA
211000087
Last 10 Games
WLOTWOTL SOWSOL
120000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
10220.00%16381.25%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
44203706240
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
519951.52%5810853.70%194938.78%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
674777213416


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
11Mighty Ducks3Checkers1AWBoxScore
320Roadrunners5Mighty Ducks4BLBoxScore
529Mighty Ducks5Draveurs6ALBoxScore
746Nordiques-Mighty Ducks-
1063Mighty Ducks-Remparts-
1278Vikings-Mighty Ducks-
16101HC-Mighty Ducks-
19120Mighty Ducks-Roadrunners-
21135Roadrunners-Mighty Ducks-
23151Mighty Ducks-HC-
25167Remparts-Mighty Ducks-
30192SilverKnights-Mighty Ducks-
31207Mighty Ducks-SilverKnights-
34224Draveurs-Mighty Ducks-
36242Mighty Ducks-Draveurs-
37252Draveurs-Mighty Ducks-
39269Mighty Ducks-Griffins-
41281Mighty Ducks-Thunder-
43293Bandits-Mighty Ducks-
46316IceHogs-Mighty Ducks-
48330Mighty Ducks-Vikings-
50342Mighty Ducks-Eagles-
51355Mighty Ducks-Cyclones-
53363HC-Mighty Ducks-
56387BaronsOKC-Mighty Ducks-
59409Mighty Ducks-SilverKnights-
60419HC-Mighty Ducks-
63439Mighty Ducks-Oceanic-
64449Roadrunners-Mighty Ducks-
66463Mighty Ducks-HC-
68481Vikings-Mighty Ducks-
70499Mighty Ducks-Remparts-
72511Vikings-Mighty Ducks-
75532Eagles-Mighty Ducks-
77546Mighty Ducks-Bandits-
78560Mighty Ducks-BaronsOKC-
80569Mighty Ducks-Darkness-
81580Spiders-Mighty Ducks-
83593Mighty Ducks-Nordiques-
85611WolfPack-Mighty Ducks-
88633Roadrunners-Mighty Ducks-
91652Mighty Ducks-WolfPack-
92663Magics-Mighty Ducks-
95681Mighty Ducks-Draveurs-
97693Senators-Mighty Ducks-
99708Mighty Ducks-Wolves-
101723Cyclones-Mighty Ducks-
103738Mighty Ducks-Draveurs-
105751Mighty Ducks-Checkers-
107762National-Mighty Ducks-
109778Mighty Ducks-Remparts-
110790SilverKnights-Mighty Ducks-
114812Mighty Ducks-Checkers-
116827IceHawks-Mighty Ducks-
118839Mighty Ducks-Nordiques-
120853Checkers-Mighty Ducks-
123874Mighty Ducks-Pantheres-
124889Draveurs-Mighty Ducks-
127908Mighty Ducks-Nordiques-
128917EvilSharks-Mighty Ducks-
131939Mighty Ducks-SilverKnights-
132949Iceberg-Mighty Ducks-
135973Sagueneens-Mighty Ducks-
136983Mighty Ducks-HC-
1391003BigBadStars-Mighty Ducks-
1411016Mighty Ducks-Roadrunners-
1431030Mighty Ducks-Iceberg-
1441040Mighty Ducks-Darkness-
1451049Nordiques-Mighty Ducks-
1481073Oceanic-Mighty Ducks-
1511092Mighty Ducks-Vikings-
1521096Mighty Ducks-BigBadStars-
1541109SilverKnights-Mighty Ducks-
1561127Mighty Ducks-Vikings-
1581138Darkness-Mighty Ducks-
1611163Mighty Ducks-Roadrunners-
1621171Nordiques-Mighty Ducks-
1661196Mighty Ducks-IceHawks-
1681205IceBears-Mighty Ducks-
Trade Deadline --- Trades can’t be done after this day is simulated!
1721227Remparts-Mighty Ducks-
1731237Mighty Ducks-IceBears-
1791267Remparts-Mighty Ducks-



Mighty Ducks 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
1Derek MacKenzie1472265419684-13117220041912249310.63%8932419616.446410717127912183088331548.73%10.57531
2Mike Iggulden302114159273-129751770192812.28%130710723.543453871706392718962.10%00.771041
3Fernando Pisani22986106192914436443075611.38%150504622.04151934784263312442.25%30.76526
4Paul Postma29567120187316731932049713.48%277620221.0343398231330376100.00%20.6012
5Matthew Martin22485931781367650927268112.48%92373916.691319325610177647.35%20.95313

Mighty Ducks Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1John Grahame18610067150.8893.291098263602544327231330.810105
2Bernd Bruckler1568555150.9091.699400192826529070920.810100
3Paul Dainton138586970.8902.65813512935932730230.83874
4Mackenzie Blackwood1544689170.8723.1589514347036770500.69388
5Igor Bobkov98434850.8802.7656766926121680120.73719

Mighty Ducks 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
203082264500515193260-6741152100212105136-314111240030388124-3664193348541220775758167305405755412278711103823433535515.58%4527982.52%4995220945.04%1265269846.89%590122248.28%1861126620926011006494
203182195001237161271-1104111250012279138-59418250111582133-515516128544602058485115260502483532220058495221463325115.36%4107182.68%21015216846.82%1157256645.09%548120045.67%1916130620296111033508
203282194502187180257-774112200004593130-37417250214287127-406618030748702051546515600499499539194855091319363094715.21%3845884.90%31094219349.89%1137232348.95%589122448.12%2022140619455921036517
203382432701164296248484128100100215310647411517001621431421105296538834150113918527450882922904222263079020923746216.58%3224087.58%21284284045.21%1067241344.22%559131342.57%203214711981567960472
203482313304437315325-1041161502422159159041151802015156166-1087315592907100109107923112010181049994267076384821023516317.95%3667180.60%51370293646.66%1211273144.34%630139445.19%189913632136587944450
20358244260621332927158412710030101751195641171603203154152210732962595413012310990305401035997989246064878020793716216.71%3455384.64%31304287045.44%1219262446.46%613134845.47%190213612103582954459
20368048240610132426658402890200116012436402015041001641422211032461493821012311085290601017931941249871976720663365917.56%3415384.46%51236279744.19%1206267045.17%548129442.35%181913032078573920433
203782264600235239320-8141171900122136150-144192700113103170-67652394256641187707962123745684681392545706103721503354714.03%4298979.25%51302243253.54%1331253652.48%717130554.94%193513562034586995487
203878294002313223278-5539122300112104143-3939171702201119135-1670223411634149454726210170869669121231367084420703004615.33%3786582.80%41190234250.81%1146232849.23%588121048.60%182512691937558945461
203931200000121201010000045-1211000008712122234006240101442037010031327610220.00%16381.25%0519951.52%5810853.70%194938.78%674777213416
Total Regular Season73528633802221264222722508-236367166153089131811681210-4236812018501412132411041298-194731227241676439920187780731538209011497689368655500212346012800119060307149416.09%344358283.10%33108412288647.37%107972299746.95%54011155946.73%172821215418416528188324300
Playoff
2033404000001423-920200000511-620200000912-3014284200027513802855431826044972015.00%21480.95%07014149.65%8615754.78%457560.00%10374111284722
2035514000001522-72110000058-3303000001014-421530450005721970655555194664914925416.00%21385.71%09320246.04%9319547.69%448452.38%12386144386432
2036624000002129-8312000001011-1312000001118-742141620007682370816582304667421119315.79%37489.19%011022548.89%12027643.48%5210350.49%13695166406632
Total Playoff15312000005074-24725000002030-10817000003044-1465099149000142015572017417518068019216745764812.50%791186.08%027356848.06%29962847.61%14126253.82%36325742210617987

Mighty Ducks 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
1Dylan Hunter239132261945397112.68%842418.45044811231150.34%01.0400
2Fernando Pisani2313821-1750538315.66%1453123.10134500021037.19%00.7900
3Mike Iggulden1671118-1930325113.73%437523.463581100001062.18%00.9600
4Marc-Antoine Pouliot2061016-82419404513.33%136418.21224511241052.21%00.8800
5Chris Neil187815-62546385712.28%1042023.38246700023039.36%00.7100

Mighty Ducks Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Bernd Bruckler1810530.9171.45111822273240100.0000
2John Grahame2391040.8883.4213510177689352200.0000
3Igor Bobkov52210.8483.9425900171120000.0000
4Dan Ellis30100.9003.03119006600000.0000
5Joey MacDonald10001.0000.0020000117000.0000