Login


Game Center
Spiders
8-5-0, 16pts
3
FINAL
4 Senators
4-6-2, 10pts
Team Stats
W1StreakW1
6-0-0Home Record2-4-0
2-5-0Away Record2-2-2
6-4-0Last 10 Games4-4-2
3.54Goals Per Game2.50
3.31Goals Against Per Game3.42
13.95%Power Play Percentage17.02%
75.86%Penalty Kill Percentage72.73%
Darkness
3-8-1, 7pts
3
FINAL
5 Spiders
8-5-0, 16pts
Team Stats
L2StreakW1
1-5-0Home Record6-0-0
2-3-1Away Record2-5-0
3-6-1Last 10 Games6-4-0
2.08Goals Per Game3.54
3.50Goals Against Per Game3.31
15.69%Power Play Percentage13.95%
92.50%Penalty Kill Percentage75.86%
Spiders
8-5-0, 16pts
Day 30
Darkness
3-8-1, 7pts
Team Stats
W1StreakL2
6-0-0Home Record1-5-0
2-5-0Away Record2-3-1
6-4-0Last 10 Games3-6-1
3.54Goals Per Game2.08
3.31Goals Against Per Game3.50
13.95%Power Play Percentage15.69%
75.86%Penalty Kill Percentage92.50%
Oceanic
8-1-2, 18pts
Day 32
Spiders
8-5-0, 16pts
Team Stats
W4StreakW1
6-0-0Home Record6-0-0
2-1-2Away Record2-5-0
7-1-2Last 10 Games6-4-0
4.82Goals Per Game3.54
3.27Goals Against Per Game3.31
22.22%Power Play Percentage13.95%
79.41%Penalty Kill Percentage75.86%
Spiders
8-5-0, 16pts
Day 35
BaronsOKC
5-7-0, 10pts
Team Stats
W1StreakW1
6-0-0Home Record4-2-0
2-5-0Away Record1-5-0
6-4-0Last 10 Games4-6-0
3.54Goals Per Game3.33
3.31Goals Against Per Game3.75
13.95%Power Play Percentage17.31%
75.86%Penalty Kill Percentage76.79%
Team Leaders
Tyler PitlickGoals
Tyler Pitlick
10
Tyler PitlickAssists
Tyler Pitlick
11
Tyler PitlickPoints
Tyler Pitlick
21
Tyler PitlickPlus/Minus
Tyler Pitlick
12

Team Stats
Goals For
46
3.54 GFG
Shots For
411
31.62 Avg
Power Play Percentage
14.0%
6 GF
Offensive Zone Start
38.4%
Goals Against
43
3.31 GAA
Shots Against
425
32.69 Avg
Penalty Kill Percentage
75.9%
14 GA
Defensive Zone Start
42.5%
Team Info
General ManagerYann Aussant
CoachReggie Lemelin
DivisionAtlantic
ConferenceEastern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team22
Farm Team21
Contract Limit43 / 50
Prospects11
Team History
This Season8-5-0 (16PTS)
History97-136-23 (0.379%)
Playoff Appearances0
Playoff Record (W-L)-
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
1Tyler PitlickX100.0098507878666858574055597073907925286403411,500,000$
2Samuel BlaisX100.0099567377686050574062536899807050236202932,000,000$
3Pierre EngvallX100.0058578575797485554049616140807750236202932,000,000$
4Derek RyanX100.005643837950706852955152668099850236103912,000,000$
5Liam Ohgren (R)X100.006345887855736054405057624064699023590213925,000$
6Joakim KemellX100.006354787756746450404654604064699023570211925,000$
7Samuel Savoie (R)X100.005745838952817138403738534064739023540213925,000$
8David Goyette (R)X100.005544838950635339403839654064649023530213925,000$
9James MalatestaX100.009961667552605039403246534066638523520222925,000$
10Roni HirvonenX100.004850817546685840703544554068688021510232925,000$
11Jonathon MerrillX100.0054528475697391494045546740888130236403332,000,000$
12Trevor CarrickX100.0052477480647166604065545740847840286303111,000,000$
13Mike ReillyX100.0044488875617555504049506540868135236103212,000,000$
14Samuel BolducX100.0070578875797368484051465040727370236002532,000,000$
15Ty SmithX100.0056427183495550604070476440726470236002511,200,000$
16Colton PoolmanX100.007166867563555036403636704082694528590301750,000$
17Jonathan AspirotX100.006165737564696445405039554074726528590261750,000$
18Scott HarringtonX100.0067518175725550304027335540867135315503212,000,000$
19Christian KyrouX100.004139897642555044404544544066618523530222925,000$
Scratches
1Tyler BoucherX100.006460767573605034402939614066638520510222925,000$
2Matthew SeminoffX100.005250797554655532403033624066668520490222925,000$
TEAM AVERAGE 100.00635280786067604644454761467571622458
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
1Vadim Zherenko100.00875961845050505050508470607526580241750,000$
Scratches
TEAM AVERAGE100.0087596184505050505050847060752658
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Reggie Lemelin51434066998028CAN711100,000$


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
1Tyler PitlickSpiders (Was)C1310112112180565977244512.99%726520.451231234000052049.41%25500001.5801000630
2Trevor CarrickSpiders (Was)D13178-1100111427550.00%719314.850001300003100.00%000000.8300000201
3Jonathan AspirotSpiders (Was)D13033-1602552210.00%41179.030000000000000.00%000000.5100000021
4Scott HarringtonSpiders (Was)D1303312154657340.00%819214.800001300004000.00%000000.3111100003
5Colton PoolmanSpiders (Was)D130000401543010.00%4393.050000000000000.00%000000.0000000010
Team Total or Average65112435115951538791365612.09%3080812.4412314410000133049.41%25500000.8712100865
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
Christian KyrouSpiders (Was)D222003-09-16No170 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Colton PoolmanSpiders (Was)D301995-12-18No200 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
UFA
Link / NHL Link
David GoyetteSpiders (Was)LW212004-03-27Yes182 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Derek RyanSpiders (Was)C391986-12-29No185 Lbs5 ft10NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Link / NHL Link
James MalatestaSpiders (Was)LW222003-05-31No193 Lbs5 ft9NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Joakim KemellSpiders (Was)RW212004-04-27No193 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
RFA
Link / NHL Link
Jonathan AspirotSpiders (Was)D261999-05-16No205 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
Jonathon MerrillSpiders (Was)D331992-02-03No204 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
UFA
Link / NHL Link
Liam OhgrenSpiders (Was)LW212004-01-28Yes187 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Matthew SeminoffSpiders (Was)LW222003-12-27No190 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Mike ReillySpiders (Was)D321993-07-13No191 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Link / NHL Link
Pierre EngvallSpiders (Was)LW291996-05-31No215 Lbs6 ft5NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
UFA
Link / NHL Link
Roni HirvonenSpiders (Was)C232002-01-10No178 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Samuel BlaisSpiders (Was)RW291996-06-17No206 Lbs6 ft2NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
UFA
Link / NHL Link
Samuel BolducSpiders (Was)D252000-12-09No220 Lbs6 ft4NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
UFA
Link / NHL Link
Samuel SavoieSpiders (Was)LW212004-03-25Yes190 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Link / NHL Link
Scott HarringtonSpiders (Was)D321993-03-10No217 Lbs6 ft1NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Link / NHL Link
Trevor CarrickSpiders (Was)D311994-07-04No201 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$0$0$No
UFA
Link / NHL Link
Ty SmithSpiders (Was)D252000-03-24No180 Lbs5 ft11NoNoNo1Pro & Farm1,200,000$0$0$No
RFA
Link / NHL Link
Tyler BoucherSpiders (Was)RW222003-01-16No216 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Tyler PitlickSpiders (Was)C341991-11-01No201 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$No
UFA
Link / NHL Link
Vadim ZherenkoSpiders (Was)G242001-03-15No176 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2226.55195 Lbs6 ft01.861,285,227$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler Pitlick40122
230122
3Tyler Pitlick20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Scott HarringtonTrevor Carrick30122
3Jonathan Aspirot20122
4Colton Poolman10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler Pitlick60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Scott HarringtonTrevor Carrick40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Tyler Pitlick40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Scott HarringtonTrevor Carrick40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Scott HarringtonTrevor Carrick40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Tyler Pitlick40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Scott HarringtonTrevor Carrick40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tyler Pitlick
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tyler Pitlick
Extra Forwards
Normal PowerPlayPenalty Kill
, , Tyler Pitlick, Tyler Pitlick
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , Tyler Pitlick, ,
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
1BigBadStars10000010431000000000001000001043121.000461000247132281331461314581913364125.00%4175.00%019940848.77%21145246.68%9320345.81%3072203289114973
2Darkness11000000532110000005320000000000021.00051015002471322613314613142541430200.00%6183.33%019940848.77%21145246.68%9320345.81%3072203289114973
3Griffins2110000057-2110000005231010000005-520.5005101500247132461331461314512126486233.33%13376.92%019940848.77%21145246.68%9320345.81%3072203289114973
4Magics1010000023-1000000000001010000023-100.000246002471322713314613143121022600.00%40100.00%019940848.77%21145246.68%9320345.81%3072203289114973
5National22000000743110000003211100000042241.00071320002471328013314613145291650900.00%8187.50%019940848.77%21145246.68%9320345.81%3072203289114973
6Oceanic1010000027-5000000000001010000027-500.000235002471322513314613144311621100.00%3233.33%019940848.77%21145246.68%9320345.81%3072203289114973
7Pantheres211000001091110000007431010000035-220.50010192900247132831331461314862420507228.57%9455.56%019940848.77%21145246.68%9320345.81%3072203289114973
8Senators311010001174210010008351010000034-140.66711182900247132961331461314791924858112.50%11281.82%019940848.77%21145246.68%9320345.81%3072203289114973
Total1365010104643365001000281414715000101829-11160.615468312900247132411133146131442510912934243613.95%581475.86%019940848.77%21145246.68%9320345.81%3072203289114973
_Since Last GM Reset1365010104643365001000281414715000101829-11160.615468312900247132411133146131442510912934243613.95%581475.86%019940848.77%21145246.68%9320345.81%3072203289114973
_Vs Conference1365010104643365001000281414715000101829-11160.615468312900247132411133146131442510912934243613.95%581475.86%019940848.77%21145246.68%9320345.81%3072203289114973
_Vs Division264010107431500100032111400010422164.00071320002471328013314613145291650900.00%8187.50%019940848.77%21145246.68%9320345.81%3072203289114973

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
1316W1468312941142510912934200
All Games
GPWLOTWOTL SOWSOLGFGA
136510104643
Home Games
GPWLOTWOTL SOWSOLGFGA
65010002814
Visitor Games
GPWLOTWOTL SOWSOLGFGA
71500101829
Last 10 Games
WLOTWOTL SOWSOL
541000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
43613.95%581475.86%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1331461314247132
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
19940848.77%21145246.68%9320345.81%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
3072203289114973


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
212Senators1Spiders5BWBoxScore
531Spiders4BigBadStars3AWXXBoxScore
743Spiders2Magics3ALBoxScore
956Pantheres4Spiders7BWBoxScore
1064Spiders2Oceanic7ALBoxScore
1379National2Spiders3BWBoxScore
1489Spiders4National2AWBoxScore
17111Senators2Spiders3BWXBoxScore
18114Spiders3Pantheres5ALBoxScore
21141Griffins2Spiders5BWBoxScore
23149Spiders0Griffins5ALBoxScore
27176Spiders3Senators4ALBoxScore
28184Darkness3Spiders5BWBoxScore
30197Spiders-Darkness-
32213Oceanic-Spiders-
35233Spiders-BaronsOKC-
37247BigBadStars-Spiders-
38259Spiders-Darkness-
40275Pantheres-Spiders-
42291Spiders-Magics-
45306EvilSharks-Spiders-
47323Spiders-Senators-
49335Spiders-Bandits-
50340Wolves-Spiders-
53366Nordiques-Spiders-
55384Spiders-EvilSharks-
57396Spiders-Draveurs-
58402Darkness-Spiders-
61428Pantheres-Spiders-
63443Spiders-Remparts-
65454Spiders-Iceberg-
66464Checkers-Spiders-
69489Darkness-Spiders-
71504Spiders-IceHogs-
73519HC-Spiders-
75533Spiders-Pantheres-
77550Draveurs-Spiders-
79562Spiders-Eagles-
81580Spiders-Mighty Ducks-
82586SilverKnights-Spiders-
85612Cyclones-Spiders-
87624Spiders-Pantheres-
89642Spiders-Darkness-
90646Griffins-Spiders-
93672Spiders-Senators-
94678Oceanic-Spiders-
98698Spiders-IceBears-
99710National-Spiders-
103737Griffins-Spiders-
106754Spiders-Sagueneens-
108769Wolves-Spiders-
110785Spiders-Oceanic-
112799Oceanic-Spiders-
114816Spiders-Oceanic-
116830National-Spiders-
118843Spiders-WolfPack-
120861Magics-Spiders-
124885Cyclones-Spiders-
125897Spiders-National-
128913Spiders-BigBadStars-
129923IceHawks-Spiders-
131942Spiders-BigBadStars-
133953IceHawks-Spiders-
136980Thunder-Spiders-
138991Spiders-Magics-
1401012Vikings-Spiders-
1421023Spiders-IceHawks-
1441041BigBadStars-Spiders-
1451047Spiders-Wolves-
1471067Spiders-Vikings-
1491079Roadrunners-Spiders-
1531103Sagueneens-Spiders-
1551117Spiders-Griffins-
1571132Spiders-Thunder-
1581142BigBadStars-Spiders-
1621165Thunder-Spiders-
1641182Spiders-BaronsOKC-
1661198Senators-Spiders-
1681211Spiders-Griffins-
Trade Deadline --- Trades can’t be done after this day is simulated!
1721228IceHogs-Spiders-
1761252Senators-Spiders-
1771257Spiders-National-



Spiders 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
1Brett McLean1476253415668-44173520591919239410.57%8912412516.3459951542584485733946.64%30.55311
2Stephane Goulet346115151266-27255668606106510.80%135652618.863542771701121315644.64%20.821229
3Tim Kennedy2251181232412410551946887513.49%119464020.62263763150314716440.99%31.04213
4Andrew Gordon403991392381215240474595310.39%123663716.47112536991011220842.63%00.72313
5Brett Ritchie2081041092131341992360489311.65%69440621.18253156197101717844.63%40.97514

Spiders Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Igor Bobkov1647772140.8952.809767101145643550640.81972
2Hannu Toivonen1557555230.8932.96910961144942141240900.76171
3Marek Schwarz1266445140.9012.557544483203218768620.77292
4Vadim Tarasov117564690.8882.79666961131027740400.75641
5Eetu Makiniemi107485170.8913.19636312233830940220.76743

Spiders 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
203680253903175216258-4240131903014110126-1640122000161106132-267621637759322080675919940652649662236970673718463465816.76%3095681.88%01232232253.06%1377260952.78%651122153.32%182712662056580981480
2037823338072113022939411718041101511331841162003101151160-98530257587712127927510293797395998428254576471420763635114.05%3216679.44%31266280645.12%1144252945.24%613137144.71%182713022169583948448
20387885401645169289-120394280023286140-54394260141383149-6637169302471326362398171457058654440237765168218152985117.11%2905381.72%01029209349.16%1060231645.77%487115442.20%180412511962560971478
20391365010104643365001000281414715000101829-1116468312900247132411133146131442510912934243613.95%581475.86%019940848.77%21145246.68%9320345.81%3072203289114973
Total Regular Season2537213601291311733883-150126396508356375413-38127337104685358470-11221473313372070662142411947970561676234323087347716223022626079105016615.81%97818980.67%33726762948.84%3792790647.96%1844394946.70%576740406516181530511480

Spiders 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
1Martin Hanzal2710172702085778811.36%543716.1946102500003061.71%11.2400
2Tom Wandell27101525-7636817213.89%1659422.00235700010153.39%00.8400
3Stephane Goulet2791524-83247478710.34%1655520.565272000003141.03%00.8600
4Nathan Beaulieu2111132453069294226.19%1941119.596511300000100.00%01.1700
5Andrew Gordon29111122-1229617315.07%1444815.47011301100057.89%00.9800

Spiders Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Igor Bobkov1710430.9202.46112401465780100.0000
2Andrew Raycroft104600.9013.045722029294118100.0000
3Anton Khudobin114430.8743.936560043342166100.0000
4Jeff Zatkoff84310.8812.3448721191600000.0000
5Hannu Toivonen62400.8824.58354150272280000.0000