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Spiders
13-54-11, 37pts
3
FINAL
4 Darkness
48-27-3, 99pts
Team Stats
L1StreakL1
7-28-4Home Record25-12-2
6-26-7Away Record23-15-1
0-7-3Last 10 Games5-3-2
2.17Goals Per Game3.96
3.71Goals Against Per Game3.44
17.11%Power Play Percentage18.38%
81.72%Penalty Kill Percentage84.87%
Spiders
13-54-11, 37pts
3
FINAL
4 Nordiques
29-44-5, 63pts
Team Stats
L1StreakL1
7-28-4Home Record15-21-3
6-26-7Away Record14-23-2
0-7-3Last 10 Games5-5-0
2.17Goals Per Game2.58
3.71Goals Against Per Game3.31
17.11%Power Play Percentage14.29%
81.72%Penalty Kill Percentage83.82%
Team Leaders
Mikael PyyhtiaGoals
Mikael Pyyhtia
22
Jordan OesterleAssists
Jordan Oesterle
40
Jordan OesterlePoints
Jordan Oesterle
59
Chaz ReddekoppPlus/Minus
Chaz Reddekopp
-2
Jiri PateraWins
Jiri Patera
13
Dereck BaribeauSave Percentage
Dereck Baribeau
0.957

Team Stats
Goals For
169
2.17 GFG
Shots For
1714
21.97 Avg
Power Play Percentage
17.1%
51 GF
Offensive Zone Start
37.6%
Goals Against
289
3.71 GAA
Shots Against
2377
30.47 Avg
Penalty Kill Percentage
81.7%
53 GA
Defensive Zone Start
41.6%
Team Info
General ManagerYann Aussant
CoachReggie Lemelin
DivisionAtlantic
ConferenceEastern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team24
Farm Team20
Contract Limit44 / 50
Prospects8
Team History
This Season13-54-11 (37PTS)
History89-131-22 (0.368%)
Playoff Appearances0
Playoff Record (W-L)-
Stanley Cup0


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PriorityTypeDescription
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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 PitlickX100.009850887565726650404752614090812586003321,500,000$
2Mikael Pyyhtia (R)X100.00524090784477555040505076407074758580231575,000$
3Martin FrkX100.0059517082666050644042505240867335475703111,800,000$
4Connor BunnamanX100.00675174756760504070295270407668608550261931,700$
5Nikita KorostelevX100.006359827564605047403050529978695595302711,028,500$
6Matt FilipeX100.007450787563605033402838644078695545520271770,000$
7Mike ReillyX100.0058488082617885634064626940868235376803122,000,000$
8Jordan OesterleX100.00634586765572584940475067408880308620322825,000$
9Scott HarringtonX100.006751867767555057404350634086713586103122,000,000$
10Trevor CarrickX100.005247727664767153406045514084804086003021,000,000$
11Jonathan AspirotX100.00616566756470654740544154407472659590252750,000$
12Colton PoolmanX100.00716688755870653040243664408276459580292750,000$
13Jake MassieX100.00586285756355504040423870407867558580271847,000$
14Ty SmithX100.005642798149676256406448504072707085802411,017,500$
15Reilly WalshX100.0060528575576459474046485040746965225702511,650,000$
16Chaz ReddekoppX100.00818177758255503140323050407867558560271932,000$
17Cole HultsX100.006656777556555041403546504076666022540261931,700$
Scratches
1Aidan DudasX100.0050507875406050424041445440726670195102411,017,500$
2Tyler Boucher (R)X100.006460588268605035403238564066638518510213925,000$
3Colton WhiteX100.0057467975615752324031325040786855205302711,540,000$
4Jesper LindgrenX100.005656847551555038404134504078675520530271847,000$
TEAM AVERAGE 100.00635479776064574541424458437971541757
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
1Dereck Baribeau100.00755060975050505050507074626510580251700,000$
2Jiri Patera100.00755060955050505050506074626510580251825,000$
Scratches
1Eetu Makiniemi100.00755060865050505050506074626520570251825,000$
TEAM AVERAGE100.0075506093505050505050637462651358
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Reggie Lemelin57466368998030CAN702100,000$


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
1Jordan OesterleSpiders (Was)D78194059-22560175118160469711.88%111175222.47121325952780001228110.00%000000.6700000565
2Mikael PyyhtiaSpiders (Was)LW78222951-49120272652206215610.00%34168421.59117182517700051501136.81%38300010.6113000444
3Tyler PitlickSpiders (Was)C78133750-53780281209197561226.60%16189524.30413174424100021031141.00%161700000.5316000684
4MacKenzie EntwistleCapitalsRW62202242-366010179130215641769.30%22154124.86311144718700051522157.69%10400000.5447110841
5Connor BunnamanSpiders (Was)C78172239-49500194201156469710.90%19161620.7381119311930000100156.33%158000010.4801000461
6Scott HarringtonSpiders (Was)D78131528-4874016971118337211.02%89133117.076612751860000155100.00%000000.4200000145
7Trevor CarrickSpiders (Was)D7871825-46420956661173811.48%50133417.113710451870000165000.00%000000.3700000101
8Nikita KorostelevSpiders (Was)RW7841418-44341096396120656.56%13157120.1502214186000000044.04%10900000.2300110013
9Ty SmithSpiders (Was)D7831114-2820065551891116.67%4788911.400001000000010.00%000000.3100000114
10Jonathan AspirotSpiders (Was)D7811011-27891513546176125.88%4387911.280000000000100.00%000000.2500201023
11Colton PoolmanSpiders (Was)D78055-154351001410290.00%275617.200000000000000.00%000000.1800010110
12Jake MassieSpiders (Was)D78145-172003433105710.00%455657.250000000000000.00%000000.1800000010
13Reilly WalshSpiders (Was)D33134-14801116168116.25%42648.01011327000070050.00%2800000.3000000000
14Cole HultsSpiders (Was)D33101-1360291273414.29%136611.090000290000260029.14%15100000.0500000000
15Chaz ReddekoppSpiders (Was)D78000-2401304100.00%101291.6600039000092000.00%000000.0000000000
Team Total or Average1064122230352-463596401603127512703788779.61%5311638315.40378111838317060001310927646.83%397200020.43617431313831
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
1Jiri PateraSpiders (Was)781354110.8793.6745324227722820330.69226780526
2Dereck BaribeauSpiders (Was)70000.9571.21198004920000.0000078110
Team Total or Average851354110.8823.5647304228123740330.692267878636


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
Aidan DudasSpiders (Was)LW242000-06-15No164 Lbs5 ft7NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Link / NHL Link
Chaz ReddekoppSpiders (Was)D271997-01-01No225 Lbs6 ft4NoNoNo1Pro & Farm932,000$0$0$No
UFA
Link / NHL Link
Cole HultsSpiders (Was)D261998-05-22No190 Lbs6 ft0NoNoNo1Pro & Farm931,700$0$0$No
RFA
Link / NHL Link
Colton PoolmanSpiders (Was)D291995-12-18No190 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
UFA
Link / NHL Link
Colton WhiteSpiders (Was)D271997-05-03No195 Lbs6 ft1NoNoNo1Pro & Farm1,540,000$0$0$No
UFA
Link / NHL Link
Connor BunnamanSpiders (Was)C261998-04-16No207 Lbs6 ft1NoNoNo1Pro & Farm931,700$0$0$No
RFA
Link / NHL Link
Dereck BaribeauSpiders (Was)G251999-01-22No203 Lbs6 ft6NoNoNo1Pro & Farm700,000$0$0$No
RFA
Link / NHL Link
Eetu MakiniemiSpiders (Was)G251999-04-19No184 Lbs6 ft2NoNoNo1Pro & Farm825,000$0$0$No
RFA
Link / NHL Link
Jake MassieSpiders (Was)D271997-01-21No200 Lbs6 ft1NoNoNo1Pro & Farm847,000$0$0$No
UFA
Link / NHL Link
Jesper LindgrenSpiders (Was)D271997-05-19No176 Lbs6 ft1NoNoNo1Pro & Farm847,000$0$0$No
UFA
Link / NHL Link
Jiri PateraSpiders (Was)G251999-02-24No209 Lbs6 ft4NoNoNo1Pro & Farm825,000$0$0$No
RFA
Link / NHL Link
Jonathan AspirotSpiders (Was)D251999-05-16No205 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Link / NHL Link
Jordan OesterleSpiders (Was)D321992-06-25No187 Lbs6 ft0NoNoNo2Pro & Farm825,000$0$0$No825,000$
UFA
Link / NHL Link
Martin FrkSpiders (Was)LW311993-10-05No205 Lbs6 ft1NoNoNo1Pro & Farm1,800,000$0$0$No
UFA
Link / NHL Link
Matt FilipeSpiders (Was)LW271997-12-31No196 Lbs6 ft2NoNoNo1Pro & Farm770,000$0$0$No
UFA
Link / NHL Link
Mikael PyyhtiaSpiders (Was)LW232001-12-17Yes166 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
RFA
NHL Link
Mike ReillySpiders (Was)D311993-07-13No196 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Link / NHL Link
Nikita KorostelevSpiders (Was)RW271997-02-08No201 Lbs6 ft1NoNoNo1Pro & Farm1,028,500$0$0$No
UFA
Link / NHL Link
Reilly WalshSpiders (Was)D251999-04-21No192 Lbs6 ft0NoNoNo1Pro & Farm1,650,000$0$0$No
RFA
Link / NHL Link
Scott HarringtonSpiders (Was)D311993-03-10No204 Lbs6 ft2NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Link / NHL Link
Trevor CarrickSpiders (Was)D301994-07-04No201 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
UFA
Link / NHL Link
Ty SmithSpiders (Was)D242000-03-24No180 Lbs5 ft11NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Link / NHL Link
Tyler BoucherSpiders (Was)RW212003-01-16Yes205 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
NHL Link
Tyler PitlickSpiders (Was)C331991-11-01No199 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
UFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2427.00195 Lbs6 ft11.381,082,829$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler Pitlick40122
2Mikael PyyhtiaConnor BunnamanNikita Korostelev30122
3Tyler Pitlick20122
4Connor BunnamanMikael PyyhtiaNikita Korostelev10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan Oesterle40122
2Scott HarringtonTrevor Carrick30122
3Ty SmithJonathan Aspirot20122
4Jake MassieColton Poolman10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler Pitlick60122
2Mikael PyyhtiaConnor BunnamanNikita Korostelev40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan Oesterle60122
2Scott HarringtonTrevor Carrick40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Tyler PitlickMikael Pyyhtia40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan Oesterle60122
2Scott HarringtonTrevor Carrick40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Jordan Oesterle60122
240122Scott HarringtonTrevor Carrick40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Tyler PitlickMikael Pyyhtia40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan Oesterle60122
2Scott HarringtonTrevor Carrick40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tyler PitlickJordan Oesterle
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tyler PitlickJordan Oesterle
Extra Forwards
Normal PowerPlayPenalty Kill
Connor Bunnaman, Nikita Korostelev, Tyler PitlickConnor Bunnaman, Nikita KorostelevTyler Pitlick
Extra Defensemen
Normal PowerPlayPenalty Kill
, Chaz Reddekopp, Chaz Reddekopp,
Penalty Shots
, , Tyler Pitlick, Mikael Pyyhtia, Connor Bunnaman
Goalie
#1 : Jiri Patera, #2 : Dereck Baribeau


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
1Bandits1010000034-11010000034-10000000000000.0003580063623982557058654440411210226116.67%40100.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
2BaronsOKC1000010034-11000010034-10000000000010.500369006362398385705865444041136368225.00%30100.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
3BigBadStars40300100715-82020000049-52010010036-310.1257132000636239876570586544401144640961218.33%17288.24%01029209349.16%1060231645.77%487115442.20%180412511962560971478
4Checkers1010000013-21010000013-20000000000000.00012300636239822570586544402668294125.00%40100.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
5Cyclones1010000003-3000000000001010000003-300.0000000063623982157058654440266831200.00%4175.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
6Darkness513000011420-62020000048-4311000011012-230.30014274100636239812957058654440174514612223521.74%21385.71%01029209349.16%1060231645.77%487115442.20%180412511962560971478
7Draveurs1010000004-41010000004-40000000000000.00000000636239813570586544403818227100.00%10100.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
8Eagles1000000123-11000000123-10000000000010.5002350063623982157058654440176431300.00%20100.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
9EvilSharks52300000141313120000010912110000044040.40014264000636239811557058654440135526510520315.00%24579.17%01029209349.16%1060231645.77%487115442.20%180412511962560971478
10Griffins51400000918-93120000069-32020000039-620.20091625016362398945705865444014538511092129.52%16475.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
11HC1010000025-3000000000001010000025-300.000246006362398215705865444059131234100.00%5260.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
12IceBears10000010431100000104310000000000021.000461000636239829570586544402212197228.57%10100.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
13IceHawks40200101510-52000010146-22020000014-320.25059141063623985757058654440792436849111.11%18288.89%01029209349.16%1060231645.77%487115442.20%180412511962560971478
14IceHogs403000011117-62020000048-42010000179-210.1251122330063623981165705865444015955398421419.05%15193.33%01029209349.16%1060231645.77%487115442.20%180412511962560971478
15Iceberg1010000037-4000000000001010000037-400.00035800636239825570586544404398324250.00%4175.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
16Magics4020001169-3201000105502010000114-330.37561016006362398104570586544408820249118211.11%11190.91%01029209349.16%1060231645.77%487115442.20%180412511962560971478
17Mighty Ducks1010000025-3000000000001010000025-300.00024600636239812570586544404041222200.00%6183.33%01029209349.16%1060231645.77%487115442.20%180412511962560971478
18National41200010811-3210000106422020000027-540.50081220016362398735705865444095373510311218.18%14378.57%01029209349.16%1060231645.77%487115442.20%180412511962560971478
19Nordiques20200000710-30000000000020200000710-300.0007132000636239859570586544405191652600.00%8187.50%01029209349.16%1060231645.77%487115442.20%180412511962560971478
20Oceanic404000001319-62020000079-220200000610-400.000132639206362398945705865444016938378214428.57%15286.67%01029209349.16%1060231645.77%487115442.20%180412511962560971478
21Pantheres40400000719-122020000049-520200000310-700.000713200063623987757058654440157373210310110.00%15660.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
22Remparts1000010034-1000000000001000010034-110.50034700636239823570586544404066185120.00%20100.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
23Roadrunners1010000024-21010000024-20000000000000.0002350063623982457058654440318622500.00%3166.67%01029209349.16%1060231645.77%487115442.20%180412511962560971478
24Sagueneens50400100720-1330300000515-102010010025-310.100710170063623989357058654440137404710918316.67%21480.95%01029209349.16%1060231645.77%487115442.20%180412511962560971478
25Senators4020101089-12020000025-32000101064240.5008122000636239882570586544408719368923417.39%16287.50%01029209349.16%1060231645.77%487115442.20%180412511962560971478
26SilverKnights1010000013-21010000013-20000000000000.00012300636239817570586544402221020200.00%5260.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
27Thunder422000001217-521100000810-22110000047-340.500122133006362398965705865444014743319017211.76%12191.67%01029209349.16%1060231645.77%487115442.20%180412511962560971478
28Vikings1010000036-3000000000001010000036-300.000369006362398275705865444042613315240.00%4325.00%01029209349.16%1060231645.77%487115442.20%180412511962560971478
29WolfPack2110000046-2000000000002110000046-220.500471100636239847570586544404191241500.00%6266.67%01029209349.16%1060231645.77%487115442.20%180412511962560971478
30Wolves40300100818-102020000016-520100100712-510.12581523006362398845705865444011123288115640.00%13376.92%01029209349.16%1060231645.77%487115442.20%180412511962560971478
Total7885401645169289-120394280023286140-54394260141383149-66370.237169302471326362398171457058654440237765168218152985117.11%2905381.72%01029209349.16%1060231645.77%487115442.20%180412511962560971478
_Since Last GM Reset7885401645169289-120394280023286140-54394260141383149-66370.237169302471326362398171457058654440237765168218152985117.11%2905381.72%01029209349.16%1060231645.77%487115442.20%180412511962560971478
_Vs Conference6074101434129215-86314230012170112-42293180131359103-44300.250129232361326362398129057058654440179752354713482324017.24%2283982.89%01029209349.16%1060231645.77%487115442.20%180412511962560971478
_Vs Division16322011214158-175212000101613311110011112545-20140.43841731140163623983675705865444046613516139852917.31%651773.85%01029209349.16%1060231645.77%487115442.20%180412511962560971478

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
7837L116930247117142377651682181532
All Games
GPWLOTWOTL SOWSOLGFGA
788541645169289
Home Games
GPWLOTWOTL SOWSOLGFGA
39428023286140
Visitor Games
GPWLOTWOTL SOWSOLGFGA
39426141383149
Last 10 Games
WLOTWOTL SOWSOL
070102
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2985117.11%2905381.72%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
570586544406362398
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1029209349.16%1060231645.77%487115442.20%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
180412511962560971478


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
16EvilSharks5Spiders2BLBoxScore
213Spiders4Darkness6ALBoxScore
537Oceanic4Spiders3BLBoxScore
963Sagueneens4Spiders1BLBoxScore
1173Spiders3WolfPack1AWBoxScore
1396Spiders2National5ALBoxScore
15105Griffins4Spiders1BLBoxScore
17122Spiders2Griffins5ALBoxScore
19137Magics3Spiders2BLBoxScore
21157Spiders2Senators1AWXXBoxScore
23167Thunder6Spiders3BLBoxScore
25183Spiders1IceHawks2ALBoxScore
26197Darkness5Spiders2BLBoxScore
29213Spiders3Thunder2AWBoxScore
31228IceHawks3Spiders2BLXBoxScore
33244Spiders2Oceanic4ALBoxScore
36258Spiders0EvilSharks2ALBoxScore
38268Magics2Spiders3BWXXBoxScore
40289EvilSharks2Spiders7BWBoxScore
42300Spiders1Griffins4ALBoxScore
45322Wolves3Spiders0BLBoxScore
48344Sagueneens4Spiders2BLBoxScore
50351Spiders4Senators3AWXBoxScore
52371Spiders0National2ALBoxScore
54381BigBadStars5Spiders3BLBoxScore
56403Spiders1BigBadStars3ALBoxScore
57414SilverKnights3Spiders1BLBoxScore
60427Spiders1Thunder5ALBoxScore
63447Bandits4Spiders3BLBoxScore
65461Spiders3Remparts4ALXBoxScore
67475Draveurs4Spiders0BLBoxScore
69492Spiders0Cyclones3ALBoxScore
71508IceHawks3Spiders2BLXXBoxScore
73523Spiders2Mighty Ducks5ALBoxScore
74536Sagueneens7Spiders2BLBoxScore
78563Spiders2HC5ALBoxScore
79572Pantheres5Spiders1BLBoxScore
82594IceBears3Spiders4BWXXBoxScore
84606Spiders4EvilSharks2AWBoxScore
87626EvilSharks2Spiders1BLBoxScore
90651Spiders0IceHawks2ALBoxScore
92661BaronsOKC4Spiders3BLXBoxScore
95684Griffins0Spiders2BWBoxScore
99709Spiders1Pantheres4ALBoxScore
100718National0Spiders1BWBoxScore
103743Spiders2BigBadStars3ALXBoxScore
104749National4Spiders5BWXXBoxScore
107768Spiders2Pantheres6ALBoxScore
109781Pantheres4Spiders3BLBoxScore
111798Spiders4Oceanic6ALBoxScore
113812Checkers3Spiders1BLBoxScore
117839Spiders4IceHogs5ALXXBoxScore
118843Roadrunners4Spiders2BLBoxScore
121870Griffins5Spiders3BLBoxScore
125897Spiders1Wolves5ALBoxScore
126902Oceanic5Spiders4BLBoxScore
130932Darkness3Spiders2BLBoxScore
133957Spiders6Wolves7ALXBoxScore
134963Eagles3Spiders2BLXXBoxScore
137984Spiders3Vikings6ALBoxScore
138995Thunder4Spiders5BWBoxScore
1421025IceHogs5Spiders2BLBoxScore
1461048Spiders3Darkness2AWBoxScore
1471055Senators4Spiders2BLBoxScore
1481068Spiders0Magics2ALBoxScore
1521087Senators1Spiders0BLBoxScore
1531098Spiders1WolfPack5ALBoxScore
1541103Spiders4Nordiques6ALBoxScore
1571118IceHogs3Spiders2BLBoxScore
1581126Spiders3Iceberg7ALBoxScore
1591137Spiders3IceHogs4ALBoxScore
1611143Spiders2Sagueneens3ALXBoxScore
1621151Wolves3Spiders1BLBoxScore
1641164Spiders0Sagueneens2ALBoxScore
1681181BigBadStars4Spiders1BLBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
1691184Spiders1Magics2ALXXBoxScore
1701189Spiders3Darkness4ALXXBoxScore
1711191Spiders3Nordiques4ALBoxScore



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
Total Regular Season2406613101191211687840-153120346507356347399-52120326604675340441-10119868712541941661902341817766451543219721777307291212121335737100716015.89%92017580.98%33527722148.84%3581745448.04%1751374646.74%546038206188172329011407

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