Login

Belleville Senators
GP: 24 | W: 8 | L: 16 | OTL: 0 | P: 16
GF: 54 | GA: 96 | PP%: 12.50% | PK%: 77.78%
GM : Martin Dore | Morale : 50 | Team Overall : N/A
Next Games #394 vs Bakersfield Condors
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Utica Comets
21-3-0, 42pts
3
FINAL
1 Belleville Senators
8-16-0, 16pts
Team Stats
W2StreakL4
11-1-0Home Record3-9-0
10-2-0Home Record5-7-0
9-1-0Last 10 Games4-6-0
3.92Goals Per Game2.25
0.83Goals Against Per Game4.00
17.65%Power Play Percentage12.50%
93.18%Penalty Kill Percentage77.78%
Belleville Senators
8-16-0, 16pts
3
FINAL
5 Chicago Wolves
19-5-2, 40pts
Team Stats
L4StreakW2
3-9-0Home Record10-1-1
5-7-0Home Record9-4-1
4-6-0Last 10 Games7-1-2
2.25Goals Per Game4.15
4.00Goals Against Per Game2.58
12.50%Power Play Percentage33.33%
77.78%Penalty Kill Percentage77.78%
Bakersfield Condors
6-17-2, 14pts
Day 59
Belleville Senators
8-16-0, 16pts
Team Stats
L2StreakL4
3-8-1Home Record3-9-0
3-9-1Away Record5-7-0
2-8-0Last 10 Games4-6-0
2.12Goals Per Game2.25
4.60Goals Against Per Game2.25
0.00%Power Play Percentage12.50%
68.75%Penalty Kill Percentage77.78%
Belleville Senators
8-16-0, 16pts
Day 61
Syracuse Crunch
9-10-6, 24pts
Team Stats
L4StreakSOL2
3-9-0Home Record6-4-2
5-7-0Away Record3-6-4
4-6-0Last 10 Games2-6-2
2.25Goals Per Game3.16
4.00Goals Against Per Game3.16
12.50%Power Play Percentage8.77%
77.78%Penalty Kill Percentage81.82%
Belleville Senators
8-16-0, 16pts
Day 63
Bridgeport Islanders
7-15-3, 17pts
Team Stats
L4StreakL5
3-9-0Home Record5-5-2
5-7-0Away Record2-10-1
4-6-0Last 10 Games2-6-2
2.25Goals Per Game2.48
4.00Goals Against Per Game2.48
12.50%Power Play Percentage17.50%
77.78%Penalty Kill Percentage74.19%
Team Leaders
Goals
Riley Barber
14
Assists
Riley Barber
8
Points
Riley Barber
22
Plus/Minus
Riley Barber
-11

Team Stats
Goals For
54
2.25 GFG
Shots For
580
24.17 Avg
Power Play Percentage
12.5%
6 GF
Offensive Zone Start
32.9%
Goals Against
96
4.00 GAA
Shots Against
903
37.63 Avg
Penalty Kill Percentage
77.8%%
8 GA
Defensive Zone Start
41.2%
Team Info

General ManagerMartin Dore
DivisionNORTHEAST
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,906
Season Tickets450


Roster Info

Pro Team37
Farm Team18
Contract Limit55 / 250
Prospects56


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
1Kyle RauX100.00553689616482815966635755587274395000311700,000$
2Riley BarberX100.00403540653580904020404040306971115000301800,000$
3Kieffer Bellows (R)X100.00684178657691776469666762646769795000261750,000$
4Liam FoudyX100.00703893697986796566616364686667815000244775,000$
5Connor ZaryX100.00623781717087866872706560676465814500231832,500$
6Lukas ReichelX100.00633693716884896670696367716268834700222925,000$
7Linus Karlsson (R)X100.00643876657389856471636162646567615000244925,000$
8Lukas Svejkovsky (R)X100.00633693576375725656555451536365605000221842,500$
9Amadeus Lombardi (R)X100.00633594586371735769615354566163605000212870,000$
10Logan Stankoven (R)XX100.00633687696390737174706965726264734300213867,500$
11Marco Kasper (R)X100.00733787597485735860575663596264895000203925,000$
12Kyle BurroughsX100.008968706473898359306356765069704047002941,100,000$
13Gavin BayreutherX100.00704181668184736430725671507072355000303750,000$
14Urho Vaakanainen (R)X100.00683691678086776530715276496567804300254900,000$
15Jordan Harris (R)X100.006534886770898364307360775364666342002411,400,000$
16Nils LundkvistX100.00683589727586826930746263536465785000241925,000$
17Ryker Evans (R)X100.00683973677087856530685762496365765000221925,000$
Scratches
1Tyler GraovacX100.00403540403580904020404040302525115000311700,000$
2Nathan WalkerX100.00724684676881856583666764687072515000301700,000$
3Tom KuhnhacklXX100.00403540403580904020404040302525115000321700,000$
4Joseph LaBateX100.00403540573580904020404040307072115000311700,000$
5Kevin RoyX100.00403540403580904020404040302525115000311700,000$
6Nolan Patrick (R)X100.004035404035809040204040403025251150002611,000,000$
7Nicholas Caamano (R)X100.00403540403580904020404040302525115000262702,020$
8Matej PekarX100.00654270627476655867615056536466615000242775,000$
9Rob O'GaraX100.00403540403580904020404040302525115000311700,000$
10Jake BischoffX100.00663982587574815730595456477072395000301750,000$
11Adam Wilsby (R)X100.00663888597569855830565557466466595000241830,000$
12Jeremy Davies (R)X100.00573966596877855730585660496870415000272702,020$
13Jakub GalvasX100.00403540633580904020404040306466115000253892,500$
TEAM AVERAGE100.0059387059618283564257535649585948490
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
1Kevin Lankinen100.0076977378777474747462867083564700292850,000$
2Arvid Soderblom100.0071998180727171727260796573565000251925,000$
Scratches
1Magnus Hellberg100.0061997596626767676756757487505000333750,000$
2Evan Cormier (R)100.0054956783555253525343626777525000262735,000$
3Remi Poirier (R)100.0060957682615959595950746369495000221845,000$
4Henrik Tikkanen (R)100.0051956998525455555546736471485000242775,000$
5Nikita Tolopilo (R)100.0054957298555859595949766471435000241950,000$
TEAM AVERAGE100.006196738862626363635275677651500
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Riley BarberBelleville Senators (OTT)RW2414822-112915795196298314.58%3446019.18123630000002155.88%3400000.9600002210
Team Total or Average2414822-112915795196298314.58%3446019.18123630000002155.88%3400000.9600002210
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


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam WilsbyBelleville Senators (OTT)D242000-08-07SWEYes188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm830,000$581,856$0$0$No---------------------------Link
Amadeus LombardiBelleville Senators (OTT)C212003-06-05CANYes165 Lbs5 ft10NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm870,000$609,897$0$0$No870,000$--------600,000$--------No--------Link
Arvid SoderblomBelleville Senators (OTT)G251999-08-19SWENo180 Lbs6 ft3NoNoN/ANoNo12024-05-19FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Link
Connor ZaryBelleville Senators (OTT)C232001-09-25CANNo178 Lbs6 ft0NoNoN/ANoNo12024-05-19FalseFalsePro & Farm832,500$583,608$0$0$No---------------------------Link
Evan CormierBelleville Senators (OTT)G261997-11-06CANYes200 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm735,000$515,258$0$0$No735,000$--------702,019$--------No--------Link
Gavin BayreutherBelleville Senators (OTT)D301994-05-12USANo196 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm750,000$525,773$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Henrik TikkanenBelleville Senators (OTT)G242000-09-28FINYes222 Lbs6 ft8NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm775,000$543,299$0$0$No775,000$--------600,000$--------No--------Link
Jake BischoffBelleville Senators (OTT)D301994-07-25USANo188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$525,773$0$0$No---------------------------Link
Jakub GalvasBelleville Senators (OTT)D251999-06-15CZENo161 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm892,500$625,670$0$0$No892,500$892,500$-------892,500$892,500$-------NoNo-------Link
Jeremy DaviesBelleville Senators (OTT)D271996-12-04CANYes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm702,020$492,138$0$0$No702,020$--------702,020$--------No--------Link
Jordan HarrisBelleville Senators (OTT)D242000-07-07USAYes189 Lbs5 ft11NoNoN/ANoNo12024-05-19FalseFalsePro & Farm1,400,000$981,443$0$0$No---------------------------Link
Joseph LaBateBelleville Senators (OTT)C311993-04-16USANo210 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Link
Kevin LankinenBelleville Senators (OTT)G291995-04-28FINNo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm850,000$595,876$0$0$No850,000$--------850,000$--------No--------Link
Kevin RoyBelleville Senators (OTT)C311993-05-20CANNo172 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Link
Kieffer BellowsBelleville Senators (OTT)LW261998-06-10USAYes195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$525,773$0$0$No---------------------------Link
Kyle BurroughsBelleville Senators (OTT)D291995-07-12CANNo193 Lbs6 ft0NoNoN/ANoNo42024-05-19FalseFalsePro & Farm1,100,000$771,134$0$0$No1,100,000$1,100,000$1,100,000$------1,100,000$1,100,000$1,100,000$------NoNoNo------Link
Kyle RauBelleville Senators (OTT)C311992-10-24USANo171 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Link
Liam FoudyBelleville Senators (OTT)C242000-02-04CANNo193 Lbs6 ft2NoNoN/ANoNo42024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Link
Linus KarlssonBelleville Senators (OTT)RW241999-11-16SWEYes178 Lbs6 ft1NoNoN/ANoNo42024-05-19FalseFalsePro & Farm925,000$648,454$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Link
Logan StankovenBelleville Senators (OTT)C/RW212003-02-26CANYes171 Lbs5 ft8NoNoAssign ManuallyNoNo32024-08-20FalseFalsePro & Farm867,500$608,144$0$0$No867,500$867,500$-------600,000$600,000$-------NoNo-------Link
Lukas ReichelBelleville Senators (OTT)LW222002-05-17DEUNo170 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm925,000$648,454$0$0$No925,000$--------925,000$--------No--------Link
Lukas SvejkovskyBelleville Senators (OTT)RW222001-11-28USAYes165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm842,500$590,619$0$0$No---------------------------Link
Magnus HellbergBelleville Senators (OTT)G331991-04-04SWENo220 Lbs6 ft6NoNoN/ANoNo3FalseFalsePro & Farm750,000$525,773$0$0$No750,000$750,000$-------600,000$600,000$-------NoNo-------Link
Marco KasperBelleville Senators (OTT)C202004-04-08AUTYes183 Lbs6 ft1NoNoAssign ManuallyNoNo32024-08-20FalseFalsePro & Farm925,000$648,454$0$0$No925,000$925,000$-------600,000$600,000$-------NoNo-------Link
Matej PekarBelleville Senators (OTT)LW242000-02-10CZENo185 Lbs6 ft1NoNoN/ANoNo22024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$--------775,000$--------No--------Link
Nathan WalkerBelleville Senators (OTT)LW301994-04-07AUSNo187 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Link
Nicholas CaamanoBelleville Senators (OTT)RW261998-09-07CANYes195 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm702,020$492,138$0$0$No702,020$--------702,020$--------No--------Link
Nikita TolopiloBelleville Senators (OTT)G242000-04-06BLRYes229 Lbs6 ft6NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm950,000$665,979$0$0$No---------------------------Link
Nils LundkvistBelleville Senators (OTT)D242000-07-27SWENo190 Lbs6 ft1NoNoN/ANoNo12024-05-19FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Link
Nolan PatrickBelleville Senators (OTT)C261998-09-19CANYes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$701,031$0$0$No---------------------------Link
Remi PoirierBelleville Senators (OTT)G222001-10-06CANYes210 Lbs6 ft2NoNoAssign ManuallyNoNo12024-08-20FalseFalsePro & Farm845,000$592,371$0$0$No---------------------------Link
Riley BarberBelleville Senators (OTT)RW301994-02-07USANo199 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$560,825$0$0$No---------------------------Link
Rob O'GaraBelleville Senators (OTT)D311993-07-06USANo214 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Link
Ryker EvansBelleville Senators (OTT)D222001-12-13CANYes189 Lbs5 ft11NoNoN/ANoNo12024-05-19FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Link
Tom KuhnhacklBelleville Senators (OTT)LW/RW321992-01-21DEUNo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Link
Tyler GraovacBelleville Senators (OTT)C311993-04-27CANNo208 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Link
Urho VaakanainenBelleville Senators (OTT)D251999-01-01FINYes200 Lbs6 ft2NoNoN/ANoNo42024-05-19FalseFalsePro & Farm900,000$630,928$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3726.19191 Lbs6 ft11.81834,974$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Riley Barber38122
230122
322122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
138122
230122
322122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Riley Barber60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Riley Barber
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Riley Barber
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
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
1Bridgeport Islanders11000000532110000005320000000000021.00059140016201623118621617173013618000%30100.00%020946345.14%21358136.66%13536536.99%406286781160255109
2Calgary Wranglers32100000981000000000003210000098140.667916250016201621021862161717131410884125.00%000%020946345.14%21358136.66%13536536.99%406286781160255109
3Charlotte Checkers1010000024-21010000024-20000000000000.000246101620162341862161717387221000%110.00%020946345.14%21358136.66%13536536.99%406286781160255109
4Chicago Wolves30300000816-820200000511-61010000035-200.000815230016201625318621617171104314455240.00%7357.14%020946345.14%21358136.66%13536536.99%406286781160255109
5Grand Rapids Griffins1010000024-2000000000001010000024-200.0002460016201622318621617174715234200.00%10100.00%020946345.14%21358136.66%13536536.99%406286781160255109
6Iowa Wild20200000115-1420200000115-140000000000000.00011200162016221186216171786194231100.00%2150.00%020946345.14%21358136.66%13536536.99%406286781160255109
7Laval Rocket2010100047-3000000000002010100047-320.50048120016201624318621617175015439600.00%20100.00%020946345.14%21358136.66%13536536.99%406286781160255109
8Providence Bruins1010000026-41010000026-40000000000000.0002460016201621718621617176215132111100.00%50100.00%020946345.14%21358136.66%13536536.99%406286781160255109
9Rochester Americans2020000029-72020000029-70000000000000.0002460016201622518621617176719823400.00%40100.00%020946345.14%21358136.66%13536536.99%406286781160255109
10Rockford IceHogs11000000532110000005320000000000021.0005101500162016242186216171739702811100.00%000%020946345.14%21358136.66%13536536.99%406286781160255109
11Springfield Thunderbirds1010000014-3000000000001010000014-300.00012300162016215186216171752142521000%220.00%020946345.14%21358136.66%13536536.99%406286781160255109
12Texas Stars3120000039-6000000000003120000039-620.3333470016201625018621617171103111536116.67%30100.00%020946345.14%21358136.66%13536536.99%406286781160255109
13Toronto Marlies10001000431000000000001000100043121.0004812001620162591862161717278433100.00%20100.00%020946345.14%21358136.66%13536536.99%406286781160255109
14Tucson Roadrunners11000000523110000005230000000000021.00051015001620162541862161717236222300.00%10100.00%020946345.14%21358136.66%13536536.99%406286781160255109
15Utica Comets1010000013-21010000013-20000000000000.0001230016201621118621617173119817400.00%3166.67%020946345.14%21358136.66%13536536.99%406286781160255109
Total24616020005496-421239000002856-281237020002640-14160.33354101155101620162580186216171790327210348648612.50%36877.78%020946345.14%21358136.66%13536536.99%406286781160255109
_Since Last GM Reset24616020005496-421239000002856-281237020002640-14160.33354101155101620162580186216171790327210348648612.50%36877.78%020946345.14%21358136.66%13536536.99%406286781160255109
_Vs Conference1219020002851-23817000001736-19402020001115-460.25028548210162016227318621617174151395921721314.29%27581.48%020946345.14%21358136.66%13536536.99%406286781160255109
_Vs Division504020001422-8403000001117-61010200035-240.4001426400016201629518621617171717528809222.22%13469.23%020946345.14%21358136.66%13536536.99%406286781160255109

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2416L45410115558090327210348610
All Games
GPWLOTWOTL SOWSOLGFGA
2461620005496
Home Games
GPWLOTWOTL SOWSOLGFGA
123900002856
Visitor Games
GPWLOTWOTL SOWSOLGFGA
123720002640
Last 10 Games
WLOTWOTL SOWSOL
361000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
48612.50%36877.78%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
18621617171620162
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
20946345.14%21358136.66%13536536.99%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
406286781160255109


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
13Providence Bruins6Belleville Senators2LBoxScore
25Belleville Senators5Calgary Wranglers3WBoxScore
621Belleville Senators0Texas Stars4LBoxScore
1054Belleville Senators4Toronto Marlies3WXBoxScore
1161Chicago Wolves6Belleville Senators3LBoxScore
1479Belleville Senators1Texas Stars4LBoxScore
1592Rockford IceHogs3Belleville Senators5WBoxScore
19116Rochester Americans5Belleville Senators0LBoxScore
21131Belleville Senators1Laval Rocket5LBoxScore
23140Belleville Senators2Texas Stars1WBoxScore
24156Iowa Wild9Belleville Senators0LBoxScore
28180Rochester Americans4Belleville Senators2LBoxScore
30202Chicago Wolves5Belleville Senators2LBoxScore
31214Belleville Senators1Springfield Thunderbirds4LBoxScore
34230Belleville Senators0Calgary Wranglers3LBoxScore
37242Iowa Wild6Belleville Senators1LBoxScore
39264Belleville Senators3Laval Rocket2WXBoxScore
41277Bridgeport Islanders3Belleville Senators5WBoxScore
43296Belleville Senators4Calgary Wranglers2WBoxScore
45308Tucson Roadrunners2Belleville Senators5WBoxScore
47327Belleville Senators2Grand Rapids Griffins4LBoxScore
49343Charlotte Checkers4Belleville Senators2LBoxScore
52363Utica Comets3Belleville Senators1LBoxScore
57384Belleville Senators3Chicago Wolves5LBoxScore
59394Bakersfield Condors-Belleville Senators-
61412Belleville Senators-Syracuse Crunch-
63428Belleville Senators-Bridgeport Islanders-
65438Chicago Wolves-Belleville Senators-
67457Belleville Senators-Cleveland Monsters-
69469Milwaukee Admirals-Belleville Senators-
71479Belleville Senators-San Diego Gulls-
73496Belleville Senators-Utica Comets-
74501Wilkes-Barre/Scranton Penguins-Belleville Senators-
77522Belleville Senators-Iowa Wild-
80535Laval Rocket-Belleville Senators-
88561LeHigh Valley Phantoms-Belleville Senators-
90588Toronto Marlies-Belleville Senators-
91596Belleville Senators-Hartford Wolf Pack-
94620San Jose Barracuda-Belleville Senators-
96628Belleville Senators-Bakersfield Condors-
98646Belleville Senators-Manitoba Moose-
99658Hartford Wolf Pack-Belleville Senators-
101672Belleville Senators-Hershey Bears-
103690Calgary Wranglers-Belleville Senators-
106712Toronto Marlies-Belleville Senators-
108725Belleville Senators-Milwaukee Admirals-
109738Belleville Senators-Wilkes-Barre/Scranton Penguins-
112752Hershey Bears-Belleville Senators-
113767Belleville Senators-Henderson Silver Knights-
116788Rochester Americans-Belleville Senators-
120814Colorado Eagles-Belleville Senators-
122826Belleville Senators-Charlotte Checkers-
124831Belleville Senators-Abbotsford Canucks-
126849Manitoba Moose-Belleville Senators-
129871Belleville Senators-Providence Bruins-
143882Belleville Senators-Rochester Americans-
144891Providence Bruins-Belleville Senators-
146909Belleville Senators-Texas Stars-
149923Ontario Reign-Belleville Senators-
151943Belleville Senators-Toronto Marlies-
152951Laval Rocket-Belleville Senators-
156971Belleville Senators-Toronto Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
158984Rockford IceHogs-Belleville Senators-
162998Belleville Senators-Providence Bruins-
1661015Belleville Senators-Abbotsford Canucks-
1671022Providence Bruins-Belleville Senators-
1711050San Diego Gulls-Belleville Senators-
1721053Belleville Senators-LeHigh Valley Phantoms-
1771082Belleville Senators-Rochester Americans-
1781088Syracuse Crunch-Belleville Senators-
1841118Coachella Valley Firebirds-Belleville Senators-
1921147Ontario Reign-Belleville Senators-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3014
Attendance23,26611,603
Attendance PCT96.94%96.69%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
24 2906 - 96.86% 84,608$1,015,297$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
905,068$ 3,089,404$ 2,860,606$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
15,925$ 905,068$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,030,594$ 136 15,925$ 2,165,800$




Belleville Senators Players 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

Belleville Senators Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Belleville Senators 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

Belleville Senators Players 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

Belleville Senators Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA