Login


Game Center
Bandits
27-22-4, 58pts
8
FINAL
5 HC
31-17-4, 66pts
Team Stats
OTW1StreakW1
17-9-0Home Record19-5-2
10-13-4Away Record12-12-2
9-1-0Last 10 Games7-2-1
3.74Goals Per Game4.44
3.57Goals Against Per Game3.88
15.24%Power Play Percentage20.71%
82.61%Penalty Kill Percentage82.53%
Remparts
33-18-2, 68pts
4
FINAL
5 Bandits
27-22-4, 58pts
Team Stats
OTL1StreakOTW1
17-9-0Home Record17-9-0
16-9-2Away Record10-13-4
6-3-1Last 10 Games9-1-0
4.21Goals Per Game3.74
3.83Goals Against Per Game3.57
17.35%Power Play Percentage15.24%
78.97%Penalty Kill Percentage82.61%
Bandits
27-22-4, 58pts
Day 114
Vikings
31-14-7, 69pts
Team Stats
OTW1StreakW1
17-9-0Home Record17-4-5
10-13-4Away Record14-10-2
9-1-0Last 10 Games4-4-2
3.74Goals Per Game3.35
3.57Goals Against Per Game2.75
15.24%Power Play Percentage19.61%
82.61%Penalty Kill Percentage83.40%
Cyclones
29-22-3, 61pts
Day 116
Bandits
27-22-4, 58pts
Team Stats
W1StreakOTW1
15-8-3Home Record17-9-0
14-14-0Away Record10-13-4
4-5-1Last 10 Games9-1-0
2.80Goals Per Game3.74
2.74Goals Against Per Game3.57
18.70%Power Play Percentage15.24%
84.78%Penalty Kill Percentage82.61%
Draveurs
31-18-4, 66pts
Day 119
Bandits
27-22-4, 58pts
Team Stats
L2StreakOTW1
15-8-3Home Record17-9-0
16-10-1Away Record10-13-4
5-4-1Last 10 Games9-1-0
4.04Goals Per Game3.74
3.62Goals Against Per Game3.57
15.35%Power Play Percentage15.24%
80.28%Penalty Kill Percentage82.61%
Team Leaders
Drake CaggiulaGoals
Drake Caggiula
19
Drake CaggiulaAssists
Drake Caggiula
42
Drake CaggiulaPoints
Drake Caggiula
61
Drake CaggiulaPlus/Minus
Drake Caggiula
-2

Team Stats
Goals For
198
3.74 GFG
Shots For
1871
35.30 Avg
Power Play Percentage
15.2%
32 GF
Offensive Zone Start
41.0%
Goals Against
189
3.57 GAA
Shots Against
1662
31.36 Avg
Penalty Kill Percentage
82.6%
40 GA
Defensive Zone Start
38.5%
Team Info
General ManagerMaxime Barabe
CoachGlen Gulutzan
DivisionCentral
ConferenceWestern
Captain
Assistant #1
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team26
Farm Team19
Contract Limit45 / 50
Prospects4
Team History
This Season27-22-4 (58PTS)
History741-701-169 (0.460%)
Playoff Appearances8
Playoff Record (W-L)19-36
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
1Lane PedersonX100.0099617880567565577057577040787755336402711,050,000$
2Matthew NietoX100.0055448678537458524051547540888130336103212,000,000$
3Drake CaggiulaX100.006240768251605060406655594084724036600302900,000$
4Liam FoudyX100.0054498777627152544059506140727270335902411,017,500$
5Brett MurrayX100.006171777589635349404356564076706033570261851,000$
6Samuel LabergeX100.0072705975686858384038386140787355255402711,500,000$
7Will BittenX100.004742817551776745403951506976776033540261860,000$
8Carsen TwarynskiX100.009950757564605037403242614078695521530271860,000$
9Josh LopinaX100.005649837565786839703147504070747521530231696,000$
10Serron NoelX100.007167677574605038403936554072667021520241825,000$
11Calvin deHaanX100.007847837759778353405056774090842531680332975,000$
12Egor ZamulaX100.0053518078677788604060597340727570436702411,200,000$
13Nikita OkhotyukX100.0099487276617679524053527040727470336702411,018,000$
14Alexander EdlerX100.00795579757455505340525462639977033630381975,000$
15Patrik NemethX100.007660827584555048404550654088723033620324975,000$
16Jack RathboneX100.005541837550736843403946704074746533600251825,000$
17Markus NiemelainenX100.009952807575555031402934624076666033590261930,000$
18Noel HoefenmayerX100.007153637565555044403948664074656533590251930,000$
19Dmitry SemykinX100.006454907573555025402030514072647021530241825,000$
Scratches
1Tyler AngleX100.005360797545605041703646504072667020510241770,000$
2Jack BadiniX100.007361817562605031702934504076686020490261930,000$
3Grant MismashX100.005045837555605034402939504074676520480251825,000$
TEAM AVERAGE 100.00695378766466594545434761427872552958
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
1Martin Jones100.00855760957475767476759692842052760343900,000$
2Aaron Dell100.00815060895861616061599394781546650352575,000$
Scratches
1Landon Bow100.00755060965050505050508382664542590292600,000$
2Beck Warm100.00775060805050505050504074626520560252600,000$
TEAM AVERAGE100.0080526090585959595959788673364064
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan60475345848662CAN532100,000$


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
1Drake CaggiulaBandits (Stl)LW53194261-24201231971845114210.33%23109520.67513183916010161842139.55%119600001.11010001144
Team Total or Average53194261-24201231971845114210.33%23109520.67513183916010161842139.55%119600001.11010001144
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 2038 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2039 204020412042204320442045Salary Year 9Salary Year 10Link
Aaron DellBandits (Stl)G351989-05-04No200 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
UFA
Link / NHL Link
Alexander EdlerBandits (Stl)D381986-04-21No210 Lbs6 ft4NoNoNo1Pro & Farm975,000$0$0$No
UFA
Link / NHL Link
Beck WarmBandits (Stl)G251999-04-22No172 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$
RFA
Link / NHL Link
Brett MurrayBandits (Stl)LW261998-07-20No235 Lbs6 ft5NoNoNo1Pro & Farm851,000$0$0$No
RFA
Link / NHL Link
Calvin deHaanBandits (Stl)D331991-05-09No192 Lbs6 ft1YesNoNo2Pro & Farm975,000$0$0$No975,000$
UFA
Link / NHL Link
Carsen TwarynskiBandits (Stl)LW271997-11-24No198 Lbs6 ft2NoNoNo1Pro & Farm860,000$0$0$No
UFA
Link / NHL Link
Dmitry SemykinBandits (Stl)D242000-02-24No212 Lbs6 ft3NoNoNo1Pro & Farm825,000$0$0$No
RFA
Link / NHL Link
Drake CaggiulaBandits (Stl)LW301994-06-20No183 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No900,000$
UFA
Link / NHL Link
Egor ZamulaBandits (Stl)D242000-03-30No200 Lbs6 ft3NoNoNo1Pro & Farm1,200,000$0$0$No
RFA
Link / NHL Link
Grant MismashBandits (Stl)LW251999-02-19No184 Lbs6 ft1NoNoNo1Pro & Farm825,000$0$0$No
RFA
Link / NHL Link
Jack BadiniBandits (Stl)C261998-01-19No202 Lbs6 ft0NoNoNo1Pro & Farm930,000$0$0$No
RFA
Link / NHL Link
Jack RathboneBandits (Stl)D251999-05-20No182 Lbs5 ft11NoNoNo1Pro & Farm825,000$0$0$No
RFA
Link / NHL Link
Josh LopinaBandits (Stl)C232001-02-16No199 Lbs6 ft2NoNoNo1Pro & Farm696,000$0$0$No
RFA
Link / NHL Link
Landon BowBandits (Stl)G291995-08-24No208 Lbs6 ft5NoNoNo2Pro & Farm600,000$0$0$No600,000$
UFA
Link / NHL Link
Lane PedersonBandits (Stl)C271997-08-04No190 Lbs6 ft0NoNoNo1Pro & Farm1,050,000$0$0$No
UFA
Link / NHL Link
Liam FoudyBandits (Stl)C242000-02-04No193 Lbs6 ft2NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Link / NHL Link
Markus NiemelainenBandits (Stl)D261998-06-08No203 Lbs6 ft6NoNoNo1Pro & Farm930,000$0$0$No
RFA
Link / NHL Link
Martin JonesBandits (Stl)G341990-01-10No189 Lbs6 ft4NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
UFA
Link / NHL Link
Matthew NietoBandits (Stl)LW321992-11-05No187 Lbs5 ft11NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Link / NHL Link
Nikita OkhotyukBandits (Stl)D242000-12-04No195 Lbs6 ft1NoNoNo1Pro & Farm1,018,000$0$0$No
RFA
Link / NHL Link
Noel HoefenmayerBandits (Stl)D251999-06-01No204 Lbs6 ft1NoNoNo1Pro & Farm930,000$0$0$No
RFA
Link / NHL Link
Patrik NemethBandits (Stl)D321992-02-08No230 Lbs6 ft4YesNoNo4Pro & Farm975,000$0$0$No975,000$975,000$975,000$
UFA
Link / NHL Link
Samuel LabergeBandits (Stl)LW271997-04-10No206 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$No
UFA
Link / NHL Link
Serron NoelBandits (Stl)RW242000-08-08No205 Lbs6 ft5NoNoNo1Pro & Farm825,000$0$0$No
RFA
Link / NHL Link
Tyler AngleBandits (Stl)C242000-09-30No176 Lbs5 ft10NoNoNo1Pro & Farm770,000$0$0$No
RFA
Link / NHL Link
Will BittenBandits (Stl)RW261998-07-10No184 Lbs5 ft11NoNoNo1Pro & Farm860,000$0$0$No
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2627.50198 Lbs6 ft21.38938,942$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake Caggiula40122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake Caggiula60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Drake Caggiula60122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
2Drake Caggiula4012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Drake Caggiula60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Drake Caggiula
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Drake Caggiula
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, Drake Caggiula, , ,
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
1BaronsOKC3110100012843110100012840000000000040.667122335008464455109635615607201213730738225.00%14192.86%0771177543.44%716166742.95%38489243.05%12258811366369611287
2BigBadStars1010000003-31010000003-30000000000000.00000000846445536635615607202151321700.00%4175.00%0771177543.44%716166742.95%38489243.05%12258811366369611287
3Checkers42100001161332200000093620100001710-350.62516314701846445512063561560720101334210119210.53%16287.50%1771177543.44%716166742.95%38489243.05%12258811366369611287
4Cyclones31200000811-31100000051420200000310-720.333814220084644559663561560720823234899222.22%16568.75%0771177543.44%716166742.95%38489243.05%12258811366369611287
5Darkness21100000811-30000000000021100000811-320.50081624008464455646356156072080191660600.00%9277.78%0771177543.44%716166742.95%38489243.05%12258811366369611287
6Draveurs2010010069-3000000000002010010069-310.2506121800846445585635615607207612185911218.18%8187.50%0771177543.44%716166742.95%38489243.05%12258811366369611287
7Eagles431000002113822000000116521100000107360.75021416200846445515763561560720107283412118527.78%15380.00%0771177543.44%716166742.95%38489243.05%12258811366369611287
8EvilSharks11000000752110000007520000000000021.0007121900846445546635615607202646152150.00%3166.67%0771177543.44%716166742.95%38489243.05%12258811366369611287
9HC211000001213-100000000000211000001213-120.5001224360084644557563561560720862827529222.22%6183.33%0771177543.44%716166742.95%38489243.05%12258811366369611287
10IceBears220000001156110000008441100000031241.0001122330084644558963561560720431540409222.22%8187.50%0771177543.44%716166742.95%38489243.05%12258811366369611287
11IceHawks1010000045-1000000000001010000045-100.000481200846445537635615607202774265120.00%20100.00%0771177543.44%716166742.95%38489243.05%12258811366369611287
12IceHogs11000000743000000000001100000074321.000714210084644553563561560720531218275360.00%9455.56%0771177543.44%716166742.95%38489243.05%12258811366369611287
13Iceberg20001100770000000000002000110077030.75071421008464455836356156072072318509111.11%40100.00%0771177543.44%716166742.95%38489243.05%12258811366369611287
14Magics10001000211100010002110000000000021.00024600846445532635615607202161021200.00%50100.00%0771177543.44%716166742.95%38489243.05%12258811366369611287
15Mighty Ducks3210000015872200000012481010000034-140.66715304500846445510563561560720942332659222.22%16475.00%0771177543.44%716166742.95%38489243.05%12258811366369611287
16National11000000211110000002110000000000021.0002350084644553663561560720222823500.00%30100.00%0771177543.44%716166742.95%38489243.05%12258811366369611287
17Nordiques22000000826000000000002200000082641.000815230084644556963561560720511720505120.00%10280.00%0771177543.44%716166742.95%38489243.05%12258811366369611287
18Oceanic1010000025-31010000025-30000000000000.000235008464455276356156072037121441500.00%7185.71%1771177543.44%716166742.95%38489243.05%12258811366369611287
19Remparts412010002020020101000111102110000099040.50020385800846445515563561560720172585411215213.33%22386.36%0771177543.44%716166742.95%38489243.05%12258811366369611287
20Roadrunners2020000027-52020000027-50000000000000.000235008464455736356156072094231854500.00%9188.89%0771177543.44%716166742.95%38489243.05%12258811366369611287
21Sagueneens1010000003-31010000003-30000000000000.00000000846445539635615607201762271000.00%10100.00%0771177543.44%716166742.95%38489243.05%12258811366369611287
22SilverKnights21100000770110000004311010000034-120.500713200084644555763561560720351314526116.67%7357.14%0771177543.44%716166742.95%38489243.05%12258811366369611287
23Spiders11000000431000000000001100000043121.000471100846445541635615607202561420400.00%6183.33%0771177543.44%716166742.95%38489243.05%12258811366369611287
24Thunder1000010045-1000000000001000010045-110.5004812008464455326356156072057121241100.00%60100.00%1771177543.44%716166742.95%38489243.05%12258811366369611287
25Vikings3030000039-62020000025-31010000014-300.00035800846445585635615607206415286116318.75%13284.62%0771177543.44%716166742.95%38489243.05%12258811366369611287
26WolfPack311010001011-12100100010821010000003-340.6671019290084644558863561560720781542721000.00%11190.91%0771177543.44%716166742.95%38489243.05%12258811366369611287
Total5322220530119818992613904000997821279130130199111-12580.547198379577018464455187163561560720166247155813732103215.24%2304082.61%3771177543.44%716166742.95%38489243.05%12258811366369611287
_Since Last GM Reset5322220530119818992613904000997821279130130199111-12580.547198379577018464455187163561560720166247155813732103215.24%2304082.61%3771177543.44%716166742.95%38489243.05%12258811366369611287
_Vs Conference4117170420115814315201160300086602621611012017283-11450.549158304462018464455144663561560720127638044110511582717.09%1753082.86%1771177543.44%716166742.95%38489243.05%12258811366369611287
_Vs Division81060310130282381020001385525011011720-3281.750305888008464455293635615607202267110920335822.86%391171.79%0771177543.44%716166742.95%38489243.05%12258811366369611287

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
5358OTW119837957718711662471558137301
All Games
GPWLOTWOTL SOWSOLGFGA
5322225301198189
Home Games
GPWLOTWOTL SOWSOLGFGA
2613940009978
Visitor Games
GPWLOTWOTL SOWSOLGFGA
27913130199111
Last 10 Games
WLOTWOTL SOWSOL
613000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2103215.24%2304082.61%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
635615607208464455
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
771177543.44%716166742.95%38489243.05%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12258811366369611287


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
29BaronsOKC2Bandits3BWXBoxScore
433WolfPack3Bandits4BWBoxScore
540Bandits2Cyclones4ALBoxScore
1067Mighty Ducks2Bandits4BWBoxScore
1283Bandits3Draveurs4ALXBoxScore
1397BaronsOKC3Bandits2BLBoxScore
16116Bandits3Mighty Ducks4ALBoxScore
17125Bandits4Darkness8ALBoxScore
19140Checkers0Bandits4BWBoxScore
21158Eagles4Bandits6BWBoxScore
24182Bandits6Remparts7ALBoxScore
25190Vikings2Bandits1BLBoxScore
27206Bandits3IceBears1AWBoxScore
30222Bandits3Eagles4ALBoxScore
32232Roadrunners3Bandits2BLBoxScore
34250Bandits7Eagles3AWBoxScore
36257Bandits3Draveurs5ALBoxScore
38269Remparts7Bandits6BLBoxScore
40285Bandits3Checkers5ALBoxScore
42298Vikings3Bandits1BLBoxScore
44315Bandits4Darkness3AWBoxScore
46327Oceanic5Bandits2BLBoxScore
48340Bandits5Nordiques1AWBoxScore
51357EvilSharks5Bandits7BWBoxScore
53378Bandits0WolfPack3ALBoxScore
55390Roadrunners4Bandits0BLBoxScore
57406Bandits4Thunder5ALXBoxScore
59420Sagueneens3Bandits0BLBoxScore
61431Bandits1Cyclones6ALBoxScore
63447Bandits4Spiders3AWBoxScore
64458WolfPack5Bandits6BWXBoxScore
67477Bandits4Iceberg5ALXBoxScore
68489BigBadStars3Bandits0BLBoxScore
71511Mighty Ducks2Bandits8BWBoxScore
73529Bandits4HC8ALBoxScore
75542Eagles2Bandits5BWBoxScore
78562Bandits4Checkers5ALXXBoxScore
80576National1Bandits2BWBoxScore
82595Bandits3Nordiques1AWBoxScore
84607BaronsOKC3Bandits7BWBoxScore
86619Bandits4IceHawks5ALBoxScore
88634Bandits1Vikings4ALBoxScore
89642Checkers3Bandits5BWBoxScore
93666IceBears4Bandits8BWBoxScore
96692Bandits3Iceberg2AWXBoxScore
98701Cyclones1Bandits5BWBoxScore
100717Bandits7IceHogs4AWBoxScore
102730Magics1Bandits2BWXBoxScore
105755Bandits3SilverKnights4ALBoxScore
106760Bandits3Remparts2AWBoxScore
108770SilverKnights3Bandits4BWBoxScore
110789Bandits8HC5AWBoxScore
112803Remparts4Bandits5BWXBoxScore
114823Bandits-Vikings-
116830Cyclones-Bandits-
119852Draveurs-Bandits-
122874Bandits-WolfPack-
123883Draveurs-Bandits-
128911Bandits-SilverKnights-
129920HC-Bandits-
131939Bandits-Senators-
132949Iceberg-Bandits-
135969Bandits-IceBears-
136977Pantheres-Bandits-
1381000IceBears-Bandits-
1411018Bandits-Wolves-
1421020Bandits-Mighty Ducks-
1451041Pantheres-Bandits-
1481067SilverKnights-Bandits-
1521093Nordiques-Bandits-
1571120Nordiques-Bandits-
1581128Bandits-Griffins-
1621150HC-Bandits-
1651167Bandits-BaronsOKC-
1661178Bandits-Roadrunners-
1681182Iceberg-Bandits-
Trade Deadline --- Trades can’t be done after this day is simulated!
1721194Bandits-BaronsOKC-
1741207Bandits-Roadrunners-



Bandits 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
1Alan Letang1115172319491788531478137618649.23%7331800616.1538731111874101447211252.06%40.55210
2Dale Clarke33950165215-746508485917346.81%420791023.343545802550442086100.00%00.5401
3Mark Hartigan19578129207-329133651260812.83%104383219.65155065612351910560.05%51.08419
4Shane Prince3146695161-619221753559311.13%27588518.74193251116022126642.77%00.55519
5Anton Slepyshev3247676152-2220644541453914.10%63555217.141532471174261210444.72%20.55413

Bandits Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Wade Dubielewicz1606175240.8892.9395522846742081300750.73992
2Jeff Maund1366144150.8843.11753725391336612831820.68266
3Ghislain Rousseau70412450.8973.0941920121621011019300.83312
4Jeremy Smith82374050.9022.57485521020821160220.80055
5Jean-Marc Pelletier803528100.8793.6342870125921321152300.84025

Bandits 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
201782432802324309266434119180111114913910412410012131601273393309504813010641251162777082110788692498849124720882917124.40%2765081.88%101096196255.86%927178152.05%725141351.31%169389017978741628806
201882293404852292317-2541141803330135155-2041151601522157162-57429246575700059101123260707439299132490853164520652526425.40%2285277.19%51019190453.52%917165355.47%807144955.69%163383216628271675819
201981343104237307313-641122003114140168-28402211011231671452278307478785110611221172697074310059192446799172118022388535.71%2134777.93%61202200959.83%922159457.84%721129655.63%159380716528141676815
202082213904945236301-654182001543117150-3341131903402119151-3259236378614210539283239706808588202505792161117972134923.00%2327169.40%3864176249.04%840176347.65%547122344.73%158977316718261736857
202182233802199148190-42411119020548497-13411219001456493-2951148250398380475139149904994844941845521109821033604813.33%4645887.50%21114223349.89%1173255845.86%533116845.63%1785116921696571060501
2022812833012710168183-154014130126496915411420000167292-206016829045825063465118340584603614177152186219503704812.97%3524686.93%01086237645.71%1053244043.16%488110444.20%183512642120611996477
202382363403324267272-541161802113135139-441201601211132133-181267508775240100986426380893817904243971691220954187217.22%3556781.13%61183278442.49%1109265741.74%517129240.02%179212622218599948438
2024823334043172792681141181802210142132104115160210713713618627953080915098918527490897879935224666178320883765113.56%3445584.01%31239283443.72%1103259342.54%527129940.57%182412852174609977459
202582343405306300307-7412311030041611471441112302302139160-21873005698692101051028830160975995997250670690721244186315.07%3807081.58%61400307445.54%1176265944.23%611136244.86%186413232155592952452
20268239310421527725225412215010121341151941171603203143137695277529806150100977528140937937907239167387721283474412.68%3486481.61%51295290444.59%1165260844.67%588130045.23%179212672206604959443
202782215001073162252-904114230102186123-37417270005276129-536116227543724063494213800474437456201357888620583195617.55%3977481.36%4976206647.24%1181248947.45%581120248.34%1804119121006471066509
203082264002095199221-2241141901043100105-54112210105299116-177919932952839078585216330557527533220367094020593786517.20%4095586.55%21240219456.52%1407256854.79%686122056.23%2016138719516001025525
2031822734022512195211-1641121701236103112-9411517010269299-78219533452925070536515320512479522208063292220813385917.46%3944588.58%51037218947.37%1188254946.61%560119546.86%1932131020426131036514
203282234403165180235-554113180303499109-104110260013181126-457018031749723065456117280609564539195054492020013374613.65%4027282.09%31097231547.39%1123243846.06%564121246.53%1923129020116151056526
2033821551011410169282-1134111220002694136-42414290112475146-715116928445310073464516570575516537233470792220313204614.38%3957281.77%21155219352.67%1255257748.70%619120651.33%1847125121126121032496
203482472504123326289374126120102016814622412113031031581431511032661694201013111178302009679661056250872381321293465716.47%3505783.71%11261287143.92%1179269643.73%626137745.46%188713462105581962460
2035824129024333162803641211501301163139244120140113215314112993166009161301301057631430102510741011255371677422223686617.93%3566382.30%31417294348.15%1246272245.78%655137047.81%190213642120583943450
20368035330352230227230401519022111371361402014013111651362987302582884130113939128840885994984248574382321053576016.81%3426680.70%31216277743.79%1195263045.44%531127741.58%181312972100574920431
203782273706534254290-3641121805213127138-1141151901321127152-25812544627162198836411234480578672852246169391020943415917.30%3847680.21%41218251948.35%1248250649.80%631127249.61%196513772007581999495
20385322220530119818992613904000997821279130130199111-1258198379577018464455187163561560720166247155813732103215.24%2304082.61%3771177543.44%716166742.95%38489243.05%12258811366369611287
Total Regular Season1607604701062587510748845190-30680330834203824415024692555-8680429635902434345724152635-220154248848679135632861182162015941367462201440147771547714082453861356820131403936597114117.30%6851120082.48%76228864768448.00%221234714846.92%119012512947.36%357212357339747127972226710771
Playoff
2017115600000353235230000012120633000002320310355691000121112346010112012530510917827636616.67%38586.84%112826049.23%11023546.81%9917157.89%2181102015985224108
2018734000002330-731200000812-4422000001518-36233659000113820604882672207414519334617.65%17288.24%110115863.92%9015159.60%7713756.20%145661437515783
20191046000003244-12523000001623-7523000001621-583250820008111233201081071143587616019826726.92%32875.00%114425157.37%13522560.00%10417360.12%190962169719496
2024734000002130-932100000761413000001424-1062139600009642540957963241829021929310.34%34488.24%010624942.57%10025239.68%4811242.86%153107218518237
2026514000001621-52020000058-3312000001113-22163248000375165052515618555601291815.56%26869.23%17217541.14%7319238.02%407454.05%10171161375624
2034514000002125-4312000001012-2202000001113-222139601008762130618072216625114323834.78%20385.00%09919949.75%9920548.29%428748.28%12188122325627
2035514000001821-331200000119220200000712-521834520004681550544452148484611425624.00%22577.27%07516844.64%5714938.26%358143.21%10271148365827
2036514000001220-82020000039-631200000911-221223350005521490445745241647013015213.33%31390.32%06114741.50%11022149.77%317441.89%10475147335124
Total Playoff55193600000178223-4526917000007291-1929101900000106132-263817830948710050665718200563620594191457080014022063918.93%2203882.73%4786160748.91%774163047.48%47690952.37%113768731751348881429

Bandits 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
1Alan Letang1983556911017827626034610.12%109322716.306111746123145150.60%00.5600
2Niko Dimitrakos179918-93735256513.85%1132819.30134810111057.14%11.1000
3Mark Hartigan126814-101111375012.00%828824.07224900001163.55%00.9700
4Dale Clarke1731013-8272537417.32%1540924.0812380222000.00%00.6400
5Trent Whitfield153912-662038348.82%729719.84112400020066.80%00.8100

Bandits Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Wade Dubielewicz115510.8952.916610032305136000.0000
2Jean-Marc Pelletier93320.8623.914600030218115100.0000
3Wade Dubielewicz43100.9183.00240001214778000.0000
4Jeff Maund61400.8515.563021702818895000.0000
5Jim Waite20000.8405.33450042513000.0000