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Draveurs
25-10-3, 53pts
4
FINAL
5 Spiders
15-19-4, 34pts
Team Stats
W1StreakW1
15-2-1Home Record10-7-1
10-8-2Away Record5-12-3
4-4-2Last 10 Games4-4-2
4.42Goals Per Game3.47
3.47Goals Against Per Game3.97
18.13%Power Play Percentage16.11%
84.25%Penalty Kill Percentage80.12%
Spiders
15-19-4, 34pts
5
FINAL
1 Eagles
22-13-1, 45pts
Team Stats
W1StreakL1
10-7-1Home Record13-6-0
5-12-3Away Record9-7-1
4-4-2Last 10 Games6-4-0
3.47Goals Per Game2.92
3.97Goals Against Per Game2.61
16.11%Power Play Percentage16.67%
80.12%Penalty Kill Percentage89.36%
Spiders
15-19-4, 34pts
Day 81
Mighty Ducks
13-19-4, 30pts
Team Stats
W1StreakW1
10-7-1Home Record8-7-3
5-12-3Away Record5-12-1
4-4-2Last 10 Games5-5-0
3.47Goals Per Game3.19
3.97Goals Against Per Game3.83
16.11%Power Play Percentage14.63%
80.12%Penalty Kill Percentage77.33%
SilverKnights
22-8-5, 49pts
Day 82
Spiders
15-19-4, 34pts
Team Stats
SOW1StreakW1
14-3-1Home Record10-7-1
8-5-4Away Record5-12-3
6-2-2Last 10 Games4-4-2
3.57Goals Per Game3.47
3.14Goals Against Per Game3.97
21.71%Power Play Percentage16.11%
84.09%Penalty Kill Percentage80.12%
Cyclones
22-13-1, 45pts
Day 85
Spiders
15-19-4, 34pts
Team Stats
L2StreakW1
13-5-0Home Record10-7-1
9-8-1Away Record5-12-3
5-5-0Last 10 Games4-4-2
2.89Goals Per Game3.47
2.44Goals Against Per Game3.97
19.05%Power Play Percentage16.11%
85.26%Penalty Kill Percentage80.12%
Team Leaders
Tyler PitlickGoals
Tyler Pitlick
26
Tyler PitlickAssists
Tyler Pitlick
23
Tyler PitlickPoints
Tyler Pitlick
49
Tyler PitlickPlus/Minus
Tyler Pitlick
2

Team Stats
Goals For
132
3.47 GFG
Shots For
1275
33.55 Avg
Power Play Percentage
16.1%
24 GF
Offensive Zone Start
40.2%
Goals Against
151
3.97 GAA
Shots Against
1236
32.53 Avg
Penalty Kill Percentage
80.1%
32 GA
Defensive Zone Start
40.2%
Team Info
General ManagerYann Aussant
CoachReggie Lemelin
DivisionAtlantic
ConferenceEastern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team25
Farm Team20
Contract Limit45 / 50
Prospects12
Team History
This Season15-19-4 (34PTS)
History104-150-27 (0.370%)
Playoff Appearances0
Playoff Record (W-L)-
Stanley Cup0


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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 PitlickX100.0098507878666858574055597073907925216403411,500,000$
2Samuel BlaisX100.0099567377686050574062536899807050306302932,000,000$
3Pierre EngvallX100.0058578575797485554049616140807750306202932,000,000$
4Derek RyanX100.005643837950706852955152668099850306103912,000,000$
5Liam Ohgren (R)X100.006345887855736054405057624064699030590213925,000$
6Joakim KemellX100.006354787756746450404654604064699030570211925,000$
7Thomas BordeleauX100.005040777945685851405349574068688020560231925,000$
8Samu TuomaalaX100.005052778047605054405750509966638528560222925,000$
9Samuel Savoie (R)X100.005745838952817138403738534064739030540213925,000$
10David Goyette (R)X100.005544838950635339403839654064649030530213925,000$
11Jonathon MerrillX100.0054528475697391494045546740888130166403332,000,000$
12Trevor CarrickX100.0052477480647166604065545740847840216303111,000,000$
13Mike ReillyX100.0044488875617555504049506540868135306103212,000,000$
14Samuel BolducX100.0070578875797368484051465040727370306002532,000,000$
15Ty SmithX100.0056427183495550604070476440726470306002511,200,000$
16Colton PoolmanX100.007166867563555036403636704082694520590301750,000$
17Jonathan AspirotX100.006165737564696445405039554074726520580261750,000$
18Scott HarringtonX100.0067518175725550304027335540867135235503212,000,000$
19Christian KyrouX100.004139897642555044404544544066618524530222925,000$
Scratches
1Zach DeanX100.004844867552605040404237654066638520520222925,000$
2James MalatestaX100.009961667552605039403246534066638520520222925,000$
3Roni HirvonenX100.004850817546685840703544554068688020510232925,000$
4Tyler BoucherX100.006460767573605034402939614066638520510222925,000$
5Matthew SeminoffX100.005250797554655532403033624066668520490222925,000$
TEAM AVERAGE 100.00625180785966594644464660487470642557
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 Zherenko100.00875961845050505050508470607539580241750,000$
Scratches
TEAM AVERAGE100.0087596184505050505050847060753958
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)C3826234925401761812336914111.16%2279220.85347471100000103046.08%79000001.240300011101
2Trevor CarrickSpiders (Was)D3812223-1246080572215174.55%3156714.92000815000011100.00%000000.8100000525
3Samu TuomaalaSpiders (Was)LW1511011-4401517246234.17%130620.440224530001251037.93%2900000.7200000010
4Thomas BordeleauSpiders (Was)C15178-40019442210194.55%231220.870223560002280042.30%35700000.5100000002
5Jonathan AspirotSpiders (Was)D32077-323558177550.00%162778.660000000000000.00%000000.5100100136
6Scott HarringtonSpiders (Was)D1403302154977340.00%820814.900001300004000.00%000000.2912100003
7Colton PoolmanSpiders (Was)D32000-213525114060.00%9952.980000000000000.00%000000.0000001022
Team Total or Average1842972101-23161154223343191082159.09%89255913.913811632390003805044.73%117600000.7915201171819
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
Samu TuomaalaSpiders (Was)LW222003-01-08No180 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
Thomas BordeleauSpiders (Was)C232002-01-03No175 Lbs5 ft10NoNoNo1Pro & Farm925,000$0$0$No
RFA
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
Zach DeanSpiders (Was)LW222003-01-04No186 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2526.04194 Lbs6 ft01.841,242,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler Pitlick40122
230122
3Tyler Pitlick20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Trevor Carrick30122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler Pitlick60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Trevor Carrick40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Tyler Pitlick40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Trevor Carrick40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Trevor Carrick40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Tyler Pitlick40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Trevor 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
1Bandits1010000025-3000000000001010000025-300.00022400583139436425423418173391532200.00%40100.00%0582127645.61%598127646.87%28561946.04%918663942264440215
2BaronsOKC1010000026-4000000000001010000026-400.0002460058313943342542341817418836100.00%30100.00%1582127645.61%598127646.87%28561946.04%918663942264440215
3BigBadStars201000109901010000056-11000001043120.500916250058313946142542341817962517628337.50%6266.67%0582127645.61%598127646.87%28561946.04%918663942264440215
4Checkers1000000123-11000000123-10000000000010.500246005831394314254234181719718196116.67%7185.71%0582127645.61%598127646.87%28561946.04%918663942264440215
5Darkness52200001191723210000012842010000179-250.50019375600583139413342542341817114355914616425.00%26676.92%0582127645.61%598127646.87%28561946.04%918663942264440215
6Draveurs20101000912-3100010005411010000048-420.50091625005831394834254234181796212053700.00%10190.00%0582127645.61%598127646.87%28561946.04%918663942264440215
7Eagles11000000514000000000001100000051421.00059140058313942942542341817168817200.00%4175.00%0582127645.61%598127646.87%28561946.04%918663942264440215
8EvilSharks2010010058-31010000013-21000010045-110.25059140058313945542542341817548205912216.67%9188.89%0582127645.61%598127646.87%28561946.04%918663942264440215
9Griffins2110000057-2110000005231010000005-520.500510150058313944642542341817512126486233.33%13376.92%0582127645.61%598127646.87%28561946.04%918663942264440215
10HC11000000633110000006330000000000021.0006121800583139462425423418172682245120.00%10100.00%0582127645.61%598127646.87%28561946.04%918663942264440215
11IceHogs1010000046-2000000000001010000046-200.00048120058313943642542341817601014272150.00%6266.67%0582127645.61%598127646.87%28561946.04%918663942264440215
12Iceberg1010000026-4000000000001010000026-400.00024600583139434425423418174812823500.00%4175.00%0582127645.61%598127646.87%28561946.04%918663942264440215
13Magics21100000550000000000002110000055020.50051015005831394694254234181754918471218.33%80100.00%0582127645.61%598127646.87%28561946.04%918663942264440215
14National22000000743110000003211100000042241.0007132000583139480425423418175291650900.00%8187.50%0582127645.61%598127646.87%28561946.04%918663942264440215
15Nordiques1010000024-21010000024-20000000000000.00024600583139435425423418172032294125.00%10100.00%0582127645.61%598127646.87%28561946.04%918663942264440215
16Oceanic20101000711-4100010005411010000027-520.500713200058313947742542341817831712348112.50%5260.00%0582127645.61%598127646.87%28561946.04%918663942264440215
17Pantheres513001002023-331200000141402010010069-330.30020385810583139417242542341817193644415119315.79%21576.19%0582127645.61%598127646.87%28561946.04%918663942264440215
18Remparts11000000642000000000001100000064221.00061218005831394384254234181744128155240.00%3166.67%0582127645.61%598127646.87%28561946.04%918663942264440215
19Senators4120100013103210010008352020000057-240.5001322350058313941374254234181795233010215213.33%13376.92%0582127645.61%598127646.87%28561946.04%918663942264440215
20Wolves1010000027-51010000027-50000000000000.000246005831394284254234181741131830500.00%9277.78%0582127645.61%598127646.87%28561946.04%918663942264440215
Total38111903212132151-191877030017063720412002116288-26340.447132247379105831394127542542341817123632236310041492416.11%1613280.12%1582127645.61%598127646.87%28561946.04%918663942264440215
_Since Last GM Reset38111903212132151-191877030017063720412002116288-26340.447132247379105831394127542542341817123632236310041492416.11%1613280.12%1582127645.61%598127646.87%28561946.04%918663942264440215
_Vs Conference288140221196107-11146602000554961428002114158-17250.44696180276105831394894425423418178932342747561121916.96%1242778.23%0582127645.61%598127646.87%28561946.04%918663942264440215
_Vs Division7710021112225-34640200012120316001111013-3221.57122426400583139426642542341817200404818535411.43%23386.96%0582127645.61%598127646.87%28561946.04%918663942264440215

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
3834W113224737912751236322363100410
All Games
GPWLOTWOTL SOWSOLGFGA
3811193212132151
Home Games
GPWLOTWOTL SOWSOLGFGA
187730017063
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2041202116288
Last 10 Games
WLOTWOTL SOWSOL
341101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1492416.11%1613280.12%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
425423418175831394
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
582127645.61%598127646.87%28561946.04%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
918663942264440215


Last Played Games
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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
30197Spiders4Darkness5ALXXBoxScore
32213Oceanic4Spiders5BWXBoxScore
35233Spiders2BaronsOKC6ALBoxScore
37247BigBadStars6Spiders5BLBoxScore
38259Spiders3Darkness4ALBoxScore
40275Pantheres6Spiders5BLBoxScore
42291Spiders3Magics2AWBoxScore
45306EvilSharks3Spiders1BLBoxScore
47323Spiders2Senators3ALBoxScore
49335Spiders2Bandits5ALBoxScore
50340Wolves7Spiders2BLBoxScore
53366Nordiques4Spiders2BLBoxScore
55384Spiders4EvilSharks5ALXBoxScore
57396Spiders4Draveurs8ALBoxScore
58402Darkness2Spiders5BWBoxScore
61428Pantheres4Spiders2BLBoxScore
63443Spiders6Remparts4AWBoxScore
65454Spiders2Iceberg6ALBoxScore
66464Checkers3Spiders2BLXXBoxScore
69489Darkness3Spiders2BLBoxScore
71504Spiders4IceHogs6ALBoxScore
73519HC3Spiders6BWBoxScore
75533Spiders3Pantheres4ALXBoxScore
77550Draveurs4Spiders5BWXBoxScore
79562Spiders5Eagles1AWBoxScore
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
203938111903212132151-191877030017063720412002116288-2634132247379105831394127542542341817123632236310041492416.11%1613280.12%1582127645.61%598127646.87%28561946.04%918663942264440215
Total Regular Season27877150014111313819991-1721384172010357417462-45140367804886402529-12723281915012320762482652208179201968262025957478527244324966741115618415.92%108120780.85%44109849748.36%4179873047.87%2036436546.64%637844837131198833411623

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