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Pantheres
38-13-4, 80pts
4
FINAL
3 Spiders
11-34-5, 27pts
Team Stats
W4StreakL3
17-7-2Home Record6-17-3
21-6-2Away Record5-17-2
6-3-1Last 10 Games3-5-2
4.24Goals Per Game2.10
3.25Goals Against Per Game3.56
19.74%Power Play Percentage15.05%
80.56%Penalty Kill Percentage80.32%
Spiders
11-34-5, 27pts
4
FINAL
6 Oceanic
33-17-3, 69pts
Team Stats
L3StreakW1
6-17-3Home Record15-10-1
5-17-2Away Record18-7-2
3-5-2Last 10 Games7-3-0
2.10Goals Per Game3.98
3.56Goals Against Per Game3.26
15.05%Power Play Percentage16.44%
80.32%Penalty Kill Percentage84.98%
Checkers
17-27-6, 40pts
Day 113
Spiders
11-34-5, 27pts
Team Stats
L4StreakL3
10-13-3Home Record6-17-3
7-14-3Away Record5-17-2
4-5-1Last 10 Games3-5-2
2.64Goals Per Game2.10
3.20Goals Against Per Game3.56
13.70%Power Play Percentage15.05%
87.88%Penalty Kill Percentage80.32%
Spiders
11-34-5, 27pts
Day 117
IceHogs
28-19-3, 59pts
Team Stats
L3StreakW2
6-17-3Home Record14-9-3
5-17-2Away Record14-10-0
3-5-2Last 10 Games4-6-0
2.10Goals Per Game4.04
3.56Goals Against Per Game3.78
15.05%Power Play Percentage15.58%
80.32%Penalty Kill Percentage83.94%
Roadrunners
38-13-3, 79pts
Day 118
Spiders
11-34-5, 27pts
Team Stats
W1StreakL3
20-5-1Home Record6-17-3
18-8-2Away Record5-17-2
5-4-1Last 10 Games3-5-2
4.39Goals Per Game2.10
3.33Goals Against Per Game3.56
16.11%Power Play Percentage15.05%
86.26%Penalty Kill Percentage80.32%
Team Leaders
MacKenzie EntwistleGoals
MacKenzie Entwistle
16
Jordan OesterleAssists
Jordan Oesterle
22
Jordan OesterlePoints
Jordan Oesterle
34
Chaz ReddekoppPlus/Minus
Chaz Reddekopp
-2
Jiri PateraWins
Jiri Patera
11
Dereck BaribeauSave Percentage
Dereck Baribeau
0.947

Team Stats
Goals For
105
2.10 GFG
Shots For
1008
20.16 Avg
Power Play Percentage
15.1%
28 GF
Offensive Zone Start
36.6%
Goals Against
178
3.56 GAA
Shots Against
1529
30.58 Avg
Penalty Kill Percentage
80.3%
37 GA
Defensive Zone Start
42.6%
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 Team19
Contract Limit43 / 50
Prospects8
Team History
This Season11-34-5 (27PTS)
History87-111-18 (0.403%)
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
1MacKenzie EntwistleX100.008962767570748952794756714074746514630251847,000$
2Tyler PitlickX100.0098508875657266504047526140908125146003321,500,000$
3Mikael Pyyhtia (R)X100.005240907844775550405050764070747514580231575,000$
4Martin FrkX100.0059517082666050644042505240867335405703111,800,000$
5Connor BunnamanX100.006751747567605040702952704076686014550261931,700$
6Nikita KorostelevX100.0063598275646050474030505299786955145302711,028,500$
7Matt FilipeX100.007450787563605033402838644078695538510271770,000$
8Mike ReillyX100.0058488082617885634064626940868235306803122,000,000$
9Jordan OesterleX100.006345867655725849404750674088803014620322825,000$
10Scott HarringtonX100.0067518677675550574043506340867135146103122,000,000$
11Trevor CarrickX100.0052477276647671534060455140848040146003021,000,000$
12Jonathan AspirotX100.006165667564706547405441544074726514590252750,000$
13Colton PoolmanX100.007166887558706530402436644082764514580292750,000$
14Jake MassieX100.005862857563555040404238704078675514580271847,000$
15Ty SmithX100.0056427981496762564064485040727070145802411,017,500$
16Chaz ReddekoppX100.008181777582555031403230504078675514560271932,000$
17Reilly WalshX100.0060528575576459474046485040746965155602511,650,000$
18Cole HultsX100.006656777556555041403546504076666015540261931,700$
Scratches
1Aidan DudasX100.0050507875406050424041445440726670195102411,017,500$
2Colton WhiteX100.0057467975615752324031325040786855205302711,540,000$
3Jesper LindgrenX100.005656847551555038404134504078675520530271847,000$
TEAM AVERAGE 100.00655480766064584643434559437972531857
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 Baribeau100.00755060975050505050507074626519580251700,000$
2Jiri Patera100.00755060955050505050506074626518580251825,000$
Scratches
1Eetu Makiniemi100.00755060865050505050506074626520570251825,000$
TEAM AVERAGE100.0075506093505050505050637462651958
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)D50122234-43401217898244512.24%74111122.246713521740001141100.00%000000.6100000553
2MacKenzie EntwistleSpiders (Was)RW50161733-24455145111171541459.36%17124124.8338113715300041271160.00%8500000.5335010741
3Tyler PitlickSpiders (Was)C5092130-2544015812310328688.74%11121724.35358261490001801042.13%101600000.4902000544
4Mikael PyyhtiaSpiders (Was)LW50111627-35601916713540958.15%24111922.401891712000031181137.08%24000000.4811000142
5Connor BunnamanSpiders (Was)C5011920-3130012011186255712.79%9104620.92551016124000080056.54%97800010.3800000331
6Scott HarringtonSpiders (Was)D507916-35540100457521459.33%6084116.8344849120000098100.00%000000.3800000121
7Trevor CarrickSpiders (Was)D5021214-3426052373610205.56%3284916.98066271200000110000.00%000000.3300000001
8Nikita KorostelevSpiders (Was)RW503710-31195582130153910.00%9102520.500117126000000050.79%6300000.2000010002
9Ty SmithSpiders (Was)D5001010-1914046309870.00%2756911.400001000000000.00%000000.3500000012
10Jonathan AspirotSpiders (Was)D50178-19535912912398.33%2256311.270000000000100.00%000000.2800001013
11Jake MassieSpiders (Was)D50134-7160242474314.29%373737.480000000000000.00%000000.2100000010
12Reilly WalshSpiders (Was)D33134-14801116168116.25%42648.01011327000070050.00%2800000.3000000000
13Colton PoolmanSpiders (Was)D50033-53556088050.00%203697.390000000000000.00%000000.1600010100
14Cole HultsSpiders (Was)D33101-1360291273414.29%136611.090000290000260029.14%15100000.0500000000
15Chaz ReddekoppSpiders (Was)D50000-220704000.00%9881.7800039000064000.00%000000.0000000000
Team Total or Average71675139214-2983922010418127972435539.41%3561104815.43224567238115700097846247.29%256100010.3948031232520
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)50113450.8843.4929570217214880330.85714500414
2Dereck BaribeauSpiders (Was)30000.9471.7469002380000.0000050110
Team Total or Average53113450.8863.4530270217415260330.857145050524


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
MacKenzie EntwistleSpiders (Was)RW251999-07-14No205 Lbs6 ft3NoNoNo1Pro & Farm847,000$0$0$No
RFA
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 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
2427.17195 Lbs6 ft11.291,079,579$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyler PitlickMacKenzie Entwistle40122
2Mikael PyyhtiaConnor BunnamanNikita Korostelev30122
3MacKenzie EntwistleTyler 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 PitlickMacKenzie Entwistle60122
2Mikael PyyhtiaConnor BunnamanNikita Korostelev40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan Oesterle60122
2Scott HarringtonTrevor Carrick40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1MacKenzie Entwistle60122
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
2MacKenzie Entwistle40122Scott HarringtonTrevor Carrick40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1MacKenzie Entwistle60122
2Tyler PitlickMikael Pyyhtia40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan Oesterle60122
2Scott HarringtonTrevor Carrick40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tyler PitlickMacKenzie EntwistleJordan Oesterle
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tyler PitlickMacKenzie EntwistleJordan 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
, MacKenzie Entwistle, 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
1Bandits1010000034-11010000034-10000000000000.0003580037382562534336130017411210226116.67%40100.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
2BaronsOKC1000010034-11000010034-10000000000010.500369003738256383433613001741136368225.00%30100.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
3BigBadStars30200100611-51010000035-22010010036-310.167611170037382565234336130017793526711119.09%11190.91%0647128050.55%668148944.86%30773042.05%11427861263359627309
4Cyclones1010000003-3000000000001010000003-300.0000000037382562134336130017266831200.00%4175.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
5Darkness20200000611-51010000025-31010000046-200.000611170037382564434336130017772418527228.57%8187.50%0647128050.55%668148944.86%30773042.05%11427861263359627309
6Draveurs1010000004-41010000004-40000000000000.00000000373825613343361300173818227100.00%10100.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
7EvilSharks52300000141313120000010912110000044040.40014264000373825611534336130017135526510520315.00%24579.17%0647128050.55%668148944.86%30773042.05%11427861263359627309
8Griffins41300000613-72110000034-12020000039-620.25061117013738256753433613001711833458820210.00%13469.23%0647128050.55%668148944.86%30773042.05%11427861263359627309
9HC1010000025-3000000000001010000025-300.000246003738256213433613001759131234100.00%5260.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
10IceBears10000010431100000104310000000000021.000461000373825629343361300172212197228.57%10100.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
11IceHawks40200101510-52000010146-22020000014-320.25059141037382565734336130017792436849111.11%18288.89%0647128050.55%668148944.86%30773042.05%11427861263359627309
12Magics20100010550201000105500000000000020.50058130037382565334336130017371010411218.33%4175.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
13Mighty Ducks1010000025-3000000000001010000025-300.00024600373825612343361300174041222200.00%6183.33%0647128050.55%668148944.86%30773042.05%11427861263359627309
14National41200010811-3210000106422020000027-540.50081220013738256733433613001795373510311218.18%14378.57%0647128050.55%668148944.86%30773042.05%11427861263359627309
15Oceanic30300000914-51010000034-120200000610-400.00091827203738256713433613001712227265513323.08%12283.33%0647128050.55%668148944.86%30773042.05%11427861263359627309
16Pantheres40400000719-122020000049-520200000310-700.000713200037382567734336130017157373210310110.00%15660.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
17Remparts1000010034-1000000000001000010034-110.50034700373825623343361300174066185120.00%20100.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
18Sagueneens30300000515-1030300000515-100000000000000.00058130037382564534336130017962235599222.22%15380.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
19Senators20001010642000000000002000101064241.00068140037382564734336130017397144714214.29%7185.71%0647128050.55%668148944.86%30773042.05%11427861263359627309
20SilverKnights1010000013-21010000013-20000000000000.00012300373825617343361300172221020200.00%5260.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
21Thunder31200000713-61010000036-32110000047-320.33371219003738256683433613001711632207012216.67%9188.89%0647128050.55%668148944.86%30773042.05%11427861263359627309
22WolfPack11000000312000000000001100000031221.0003580037382561834336130017225622200.00%3166.67%0647128050.55%668148944.86%30773042.05%11427861263359627309
23Wolves1010000003-31010000003-30000000000000.0000000037382561434336130017287826200.00%40100.00%0647128050.55%668148944.86%30773042.05%11427861263359627309
Total5063401441105178-7326317002315993-3424317012104685-39270.270105183288323738256100834336130017152942744411551862815.05%1883780.32%0647128050.55%668148944.86%30773042.05%11427861263359627309
_Since Last GM Reset5063401441105178-7326317002315993-3424317012104685-39270.270105183288323738256100834336130017152942744411551862815.05%1883780.32%0647128050.55%668148944.86%30773042.05%11427861263359627309
_Vs Conference405280123184142-5821314001214875-2719214011103667-31210.263841472313237382567913433613001711783473709041502214.67%1543080.52%0647128050.55%668148944.86%30773042.05%11427861263359627309
_Vs Division11216011202730-352600010161336010011101117-6110.5002747740137382562273433613001731110711826434514.71%461176.09%0647128050.55%668148944.86%30773042.05%11427861263359627309

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
5027L310518328810081529427444115532
All Games
GPWLOTWOTL SOWSOLGFGA
506341441105178
Home Games
GPWLOTWOTL SOWSOLGFGA
2631702315993
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2431712104685
Last 10 Games
WLOTWOTL SOWSOL
250210
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1862815.05%1883780.32%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
343361300173738256
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
647128050.55%668148944.86%30773042.05%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11427861263359627309


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
113812Checkers-Spiders-
117839Spiders-IceHogs-
118843Roadrunners-Spiders-
121870Griffins-Spiders-
125897Spiders-Wolves-
126902Oceanic-Spiders-
130932Darkness-Spiders-
133957Spiders-Wolves-
134963Eagles-Spiders-
137984Spiders-Vikings-
138995Thunder-Spiders-
1421025IceHogs-Spiders-
1461048Spiders-Darkness-
1471055Senators-Spiders-
1481068Spiders-Magics-
1521087Senators-Spiders-
1531098Spiders-WolfPack-
1541103Spiders-Nordiques-
1571118IceHogs-Spiders-
1581126Spiders-Iceberg-
1591137Spiders-IceHogs-
1611143Spiders-Sagueneens-
1621151Wolves-Spiders-
1641164Spiders-Sagueneens-
1681181BigBadStars-Spiders-
Trade Deadline --- Trades can’t be done after this day is simulated!
1691184Spiders-Magics-
1701189Spiders-Darkness-
1711191Spiders-Nordiques-



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
20385063401441105178-7326317002315993-3424317012104685-3927105183288323738256100834336130017152942744411551862815.05%1883780.32%0647128050.55%668148944.86%30773042.05%11427861263359627309
Total Regular Season212641110117127623729-106107335407355320352-32105315704472303377-741886231135175866164210167755939131619721933707644318971895507789513715.31%81815980.56%33145640849.08%3189662748.12%1571332247.29%479833555489152325561238

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