Login


Game Center
SilverKnights
7-1-0, 14pts
6
FINAL
1 Nordiques
1-5-1, 3pts
Team Stats
W6StreakL2
4-0-0Home Record1-3-0
3-1-0Away Record0-2-1
7-1-0Last 10 Games1-5-1
5.25Goals Per Game1.86
3.13Goals Against Per Game3.71
22.22%Power Play Percentage3.13%
82.86%Penalty Kill Percentage72.00%
Vikings
4-2-2, 10pts
3
FINAL
4 SilverKnights
7-1-0, 14pts
Team Stats
L1StreakW6
2-0-2Home Record4-0-0
2-2-0Away Record3-1-0
4-2-2Last 10 Games7-1-0
3.38Goals Per Game5.25
2.88Goals Against Per Game3.13
17.65%Power Play Percentage22.22%
88.24%Penalty Kill Percentage82.86%
SilverKnights
7-1-0, 14pts
Day 18
Cyclones
5-3-0, 10pts
Team Stats
W6StreakW1
4-0-0Home Record2-2-0
3-1-0Away Record3-1-0
7-1-0Last 10 Games5-3-0
5.25Goals Per Game2.88
3.13Goals Against Per Game2.38
22.22%Power Play Percentage20.59%
82.86%Penalty Kill Percentage87.88%
Draveurs
2-5-1, 5pts
Day 20
SilverKnights
7-1-0, 14pts
Team Stats
L2StreakW6
1-2-1Home Record4-0-0
1-3-0Away Record3-1-0
2-5-1Last 10 Games7-1-0
3.75Goals Per Game5.25
4.88Goals Against Per Game3.13
17.24%Power Play Percentage22.22%
73.68%Penalty Kill Percentage82.86%
Roadrunners
5-3-0, 10pts
Day 22
SilverKnights
7-1-0, 14pts
Team Stats
L1StreakW6
2-2-0Home Record4-0-0
3-1-0Away Record3-1-0
5-3-0Last 10 Games7-1-0
4.50Goals Per Game5.25
3.75Goals Against Per Game3.13
27.27%Power Play Percentage22.22%
86.49%Penalty Kill Percentage82.86%
Team Leaders

Team Stats
Goals For
42
5.25 GFG
Shots For
332
41.50 Avg
Power Play Percentage
22.2%
8 GF
Offensive Zone Start
40.2%
Goals Against
25
3.13 GAA
Shots Against
249
31.13 Avg
Penalty Kill Percentage
82.9%
6 GA
Defensive Zone Start
38.3%
Team Info
General Manager
CoachIan Laperriere
DivisionPacific
ConferenceWestern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team24
Farm Team22
Contract Limit46 / 50
Prospects26
Team History
This Season7-1-0 (14PTS)
History223-90-35 (0.641%)
Playoff Appearances4
Playoff Record (W-L)44-29
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
1Blake LizotteX100.0064398481437485558251598140787655226402711,925,000$
2Alexander HoltzX100.0053478780597499594052665840687180226202211,017,500$
3Givani SmithX100.0097766875726768504047526640767260226002611,232,000$
4Ben King (R)X100.006253838270706045704050554068698022560223925,000$
5Luca Del Bel Belluz (R)X100.005045868854675747705143584066678522560213925,000$
6Jean-Luc FoudyX100.0058457676486050474052435840686480225402211,017,500$
7Antonio StrangesX100.004038867541645442403846509068668022510222925,000$
8Adam RaskaX100.005151557550655530402634554070687522470231925,000$
9Robert BortuzzoX100.0073647075777262454040507340948315226503512,000,000$
10Declan ChisholmX100.004947788058776459405662684072757022640242600,000$
11Derrick PouliotX100.0061477279646863574067476440847640226403021,500,000$
12Alex GoligoskiX100.005841808146746856406350638099870226403921,500,000$
13Jimmy SchuldtX100.0071697875657267414043397040827745226302921,500,000$
14Mark FriedmanX100.0074527276527059474044507140827645226202921,500,000$
15Ben HarpurX100.0075728075895550514045505640826945226002921,500,000$
16Justin BraunX100.006256837568555047404350624098775226003721,500,000$
17Shakir MukhamadullinX100.007260817562595453406046634068648022600222925,000$
18Carson Lambos (R)X100.006059718560736835403237504066708522570213925,000$
19Donovan SebrangoX100.006854537563555033403630634068628021560222750,000$
Scratches
1Vasili PonomarevX100.004642837949605052705846504068648020550221720,000$
2Henrik BorgstromX100.0052518675676050414039425499786955205302711,240,000$
TEAM AVERAGE 100.00625377786066614746474761477672592259
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
1Jack LaFontaine100.00755060915050505050507076636022580262650,000$
2Calle Clang (R)100.00855960885050505050505068598024580222750,000$
Scratches
1Josef Korenar100.00765060845050505050507076636020570262650,000$
TEAM AVERAGE100.0079536088505050505050637362672258
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ian Laperriere78645251797072CAN504100,000$


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
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2038 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2039 204020412042204320442045Salary Year 9Salary Year 10Link
Adam RaskaSilverKnights (VGK)LW232001-09-25No185 Lbs5 ft10NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Alex GoligoskiSilverKnights (VGK)D391985-07-30No173 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
UFA
Link / NHL Link
Alexander HoltzSilverKnights (VGK)RW222002-01-23No195 Lbs6 ft0NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Link / NHL Link
Antonio StrangesSilverKnights (VGK)LW222002-02-05No168 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Ben HarpurSilverKnights (VGK)D291995-01-12No231 Lbs6 ft6NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
UFA
Link / NHL Link
Ben KingSilverKnights (VGK)C222002-05-15Yes205 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Blake LizotteSilverKnights (VGK)C271997-12-13No175 Lbs5 ft9NoNoNo1Pro & Farm1,925,000$0$0$No
UFA
Link / NHL Link
Calle ClangSilverKnights (VGK)G222002-05-20Yes195 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
NHL Link
Carson LambosSilverKnights (VGK)D212003-01-14Yes193 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Declan ChisholmSilverKnights (VGK)D242000-01-12No190 Lbs6 ft1NoNoNo2Pro & Farm600,000$0$0$No600,000$
RFA
Link / NHL Link
Derrick PouliotSilverKnights (VGK)D301994-01-16No205 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
UFA
Link / NHL Link
Donovan SebrangoSilverKnights (VGK)D222002-01-12No200 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Link / NHL Link
Givani SmithSilverKnights (VGK)RW261998-02-27No214 Lbs6 ft2NoNoNo1Pro & Farm1,232,000$0$0$No
RFA
Link / NHL Link
Henrik BorgstromSilverKnights (VGK)C271997-08-06No199 Lbs6 ft3NoNoNo1Pro & Farm1,240,000$0$0$No
UFA
Link / NHL Link
Jack LaFontaineSilverKnights (VGK)G261998-01-06No204 Lbs6 ft2NoNoNo2Pro & Farm650,000$0$0$No650,000$
UFA
Link / NHL Link
Jean-Luc FoudySilverKnights (VGK)LW222002-05-13No177 Lbs5 ft11NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Link / NHL Link
Jimmy SchuldtSilverKnights (VGK)D291995-05-11No203 Lbs6 ft1NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
UFA
Link / NHL Link
Josef KorenarSilverKnights (VGK)G261998-01-31No185 Lbs6 ft1NoNoNo2Pro & Farm650,000$0$0$No650,000$
UFA
Link / NHL Link
Justin BraunSilverKnights (VGK)D371987-02-10No205 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
UFA
Link / NHL Link
Luca Del Bel BelluzSilverKnights (VGK)C212003-11-10Yes182 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Mark FriedmanSilverKnights (VGK)D291995-12-25No185 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
UFA
Link / NHL Link
Robert BortuzzoSilverKnights (VGK)D351989-03-18No216 Lbs6 ft4NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Link / NHL Link
Shakir MukhamadullinSilverKnights (VGK)D222002-01-10No185 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Vasili PonomarevSilverKnights (VGK)C222002-03-13No180 Lbs5 ft11NoNoNo1Pro & Farm720,000$0$0$No
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2426.04194 Lbs6 ft11.791,129,250$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
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
1HC211000001012-2110000006511010000047-320.500102030001791609210410911907921256314214.29%10370.00%012627745.49%12126445.83%7214848.65%186135204538943
2IceBears11000000606000000000001100000060621.00061218011791604810410911902066445120.00%20100.00%012627745.49%12126445.83%7214848.65%186135204538943
3Mighty Ducks11000000642110000006420000000000021.00061117001791604010410911902682122400.00%60100.00%012627745.49%12126445.83%7214848.65%186135204538943
4Nordiques22000000918110000003031100000061541.0009172601179160661041091190531920456233.33%9188.89%012627745.49%12126445.83%7214848.65%186135204538943
5Roadrunners11000000752000000000001100000075221.000714210017916054104109119044156424250.00%3166.67%012627745.49%12126445.83%7214848.65%186135204538943
6Vikings11000000431110000004310000000000021.00048120017916032104109119027712343133.33%5180.00%012627745.49%12126445.83%7214848.65%186135204538943
Total87100000422517440000001912743100000231310140.8754282124021791603321041091190249769025036822.22%35682.86%012627745.49%12126445.83%7214848.65%186135204538943
_Since Last GM Reset87100000422517440000001912743100000231310140.8754282124021791603321041091190249769025036822.22%35682.86%012627745.49%12126445.83%7214848.65%186135204538943
_Vs Conference87100000422517440000001912743100000231310140.8754282124021791603321041091190249769025036822.22%35682.86%012627745.49%12126445.83%7214848.65%186135204538943
_Vs Division2610000013941400000064212100000752123.00013253800179160941041091190702327648225.00%9188.89%012627745.49%12126445.83%7214848.65%186135204538943

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
814W64282124332249769025002
All Games
GPWLOTWOTL SOWSOLGFGA
87100004225
Home Games
GPWLOTWOTL SOWSOLGFGA
44000001912
Visitor Games
GPWLOTWOTL SOWSOLGFGA
43100002313
Last 10 Games
WLOTWOTL SOWSOL
710000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
36822.22%35682.86%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1041091190179160
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12627745.49%12126445.83%7214848.65%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
186135204538943


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
14Mighty Ducks4SilverKnights6BWBoxScore
217SilverKnights4HC7ALBoxScore
538SilverKnights7Roadrunners5AWBoxScore
750Nordiques0SilverKnights3BWBoxScore
1069SilverKnights6IceBears0AWBoxScore
1285HC5SilverKnights6BWBoxScore
14103SilverKnights6Nordiques1AWBoxScore
16117Vikings3SilverKnights4BWBoxScore
18134SilverKnights-Cyclones-
20147Draveurs-SilverKnights-
22163Roadrunners-SilverKnights-
24180SilverKnights-BaronsOKC-
26193SilverKnights-Mighty Ducks-
28209Eagles-SilverKnights-
30226SilverKnights-Draveurs-
33241BaronsOKC-SilverKnights-
35254SilverKnights-Mighty Ducks-
38271Darkness-SilverKnights-
40288Vikings-SilverKnights-
44316Griffins-SilverKnights-
46329SilverKnights-Sagueneens-
48337SilverKnights-Draveurs-
50356Thunder-SilverKnights-
52374Roadrunners-SilverKnights-
54382SilverKnights-HC-
56404SilverKnights-HC-
57414SilverKnights-Spiders-
60426Wolves-SilverKnights-
62443SilverKnights-Senators-
64455Checkers-SilverKnights-
66473BaronsOKC-SilverKnights-
68482SilverKnights-IceBears-
70506Iceberg-SilverKnights-
73528SilverKnights-Eagles-
74538SilverKnights-Nordiques-
76550HC-SilverKnights-
79569Draveurs-SilverKnights-
83597Iceberg-SilverKnights-
85612SilverKnights-Roadrunners-
87624SilverKnights-Eagles-
88635National-SilverKnights-
91657Remparts-SilverKnights-
93665SilverKnights-Vikings-
95681SilverKnights-Remparts-
96691SilverKnights-Oceanic-
98702Checkers-SilverKnights-
101725Pantheres-SilverKnights-
103739SilverKnights-EvilSharks-
105755Bandits-SilverKnights-
108770SilverKnights-Bandits-
110786BigBadStars-SilverKnights-
111797SilverKnights-BaronsOKC-
113816SilverKnights-Magics-
115826WolfPack-SilverKnights-
118845SilverKnights-WolfPack-
119856Remparts-SilverKnights-
123882Mighty Ducks-SilverKnights-
126901SilverKnights-Checkers-
128911Bandits-SilverKnights-
129922SilverKnights-IceHawks-
131937SilverKnights-Vikings-
132950Cyclones-SilverKnights-
135966SilverKnights-Checkers-
136978Cyclones-SilverKnights-
1391001SilverKnights-Cyclones-
1401010SilverKnights-Remparts-
1421019Eagles-SilverKnights-
1441036SilverKnights-WolfPack-
1461045Nordiques-SilverKnights-
1481067SilverKnights-Bandits-
1501077Mighty Ducks-SilverKnights-
1531097SilverKnights-IceHogs-
1551110IceBears-SilverKnights-
1591136Nordiques-SilverKnights-
1631158SilverKnights-Iceberg-
1651168IceBears-SilverKnights-
Trade Deadline --- Trades can’t be done after this day is simulated!
1721192WolfPack-SilverKnights-
1731202SilverKnights-Iceberg-



SilverKnights 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
1Blake Lizotte244113176289801404611066100611.23%187561623.0232447618212326181062.18%21.03718
2Tucker Poolman1291993112151323322002397.95%154312324.211029391270002220.00%00.7201
3Givani Smith2445250102202315794115279.87%57295712.1201110011912545.24%10.6905
4Nicolas Roy8234518522286022123414.53%16153918.78613195011234264.19%21.1026
5Ryan Dzingel823438728286215918618.28%17153818.761015253501148447.22%10.9449

SilverKnights Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Eric Comrie18512347120.9022.611098881347849020310.75060
2Matt Tomkins91110.9232.422230091170010.6258

SilverKnights 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
203482392903155271228434120120113413711918411917020211341092510027147674704093858521020666684710209057870117613616417.73%2893986.51%41455251457.88%1350232758.01%766130158.88%2198157617645491016540
203582482004442313229844124100412015211042412410003221611194211831357688927011411081295409981019907227264776920313466217.92%3365184.82%21433282950.65%1289259549.67%647125551.55%203414871979571957469
20368055150620234721513240267051011801107040298011011671056212634764999606012912092303009721043993230165486020183596618.38%3464985.84%41420281950.37%1315266249.40%661130350.73%195014131948564929453
2037824025010223355286694123110420118513649411714060221701502010935567910343112510811016318110481014108163255570281020783797118.73%3315782.78%51356291646.50%1237264446.79%648137347.20%189113562117589958454
203887100000422517440000001912743100000231310144282124021791603321041091190249769025036822.22%35682.86%012627745.49%12126445.83%7214848.65%186135204538943
Total Regular Season3341899002391112132898334516797400145566734871861679250094666554961594671328246237905201424534412741159911523759394626739467265732308138148127118.30%133720284.89%1557901135550.99%53121049250.63%2794538051.93%826159688014232939511961
Playoff
203419109000005970-1110820000034286927000002542-1720591051640002121165450151187193650174169452821417.07%53983.02%238963860.97%34257060.00%19832361.30%548402388118229126
2035251690000010478261410400000594118116500000453783210419630010045223583502652672828002592526861131916.81%1161587.07%142284150.18%45589850.67%22142452.12%598431641176292142
203614950000064501484400000312926510000033211218641201840002723136410208212194451120109392771215.58%51884.31%130757353.58%25344956.35%14223460.68%4033083099015781
20371596000006762575200000343138440000033312186712919600251622460718819616954555160149446801620.00%651970.77%125157343.80%26355947.05%10828138.43%38427841311718990
Total Playoff7344290000029426034392712000001581292934171700000136131588294550844102510988682628188820835723245671367919763526117.33%2855182.11%51369262552.15%1313247653.03%669126253.01%193414201753503869440

SilverKnights 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
1Blake Lizotte58374380103813629727713.36%59140424.225121754224125065.75%11.1400
2Givani Smith58161632-55514010513911.51%970212.11022300044041.43%00.9100
3Nicolas Roy19818262413535913.56%538120.082571400013066.51%01.3600
4Jordan Kyrou1981321300395514.55%635218.533691700002052.94%01.1900
5Maxime Comtois19910191659196414.06%238520.293361400003043.75%00.9900

SilverKnights Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Eric Comrie44261620.8993.2726446014414210010.0000
2Matt Tomkins20000.8933.6050003280000.0000