Senators de Belleville

GP: 45 | W: 26 | L: 19 | OTL: 0 | P: 52
GF: 477 | GA: 480 | PP%: 47.49% | PK%: 55.06%
GM : Alexis Drolet | Morale : 40 | Team Overall : 58
Next Games #720 vs IceHogs de Rockford
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 SP
1Filip ChlapikX100.007672847772788362785661675854546640630
2Rudolfs BalcersXX100.006541906561628967297066622547476740620
3Cooper Marody (R)XX100.006964826664696970807364636144446740620
4Jordan SzwarzX100.007372766872788263795763656050506540620
5Michael CarconeXX100.006762796362778163506062605944446440590
6Nick PaulXX100.007945937186528063465557522548486140580
7Max Veronneau (R)X100.005540996467634963256370562545456540580
8Morgan KlimchukX100.007068766968656856504760605744446040570
9Jean-Christophe BeaudinXX100.007569896269737951644750624847475740560
10Andrew Sturtz (R)X100.006864776164525255505451594844445540530
11Cody GoloubefX100.007074606874626458255048654663635740600
12Andreas EnglundX100.007071687471788648253741613955555440600
Scratches
1Martin Kaut (R)X91.267267836567646756505157615444446040560
2Erik Brannstrom (R)X90.086562738062636558255448584644445840580
TEAM AVERAGE98.64706281686967726048555761474848614059
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 SP
1Marcus Hogberg100.00656784876467647166663044446640650
2Filip Gustavsson (R)100.00506379724650505648483044445140520
Scratches
1Mike Condon100.00445164764043505244453059594740500
2Joey Daccord (R)100.00435569774044404640403044444440470
TEAM AVERAGE100.0051597478485151565050304848524054
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Troy Mann69414649544751CAN461500,000$


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
1Michael CarconeSenators de Belleville (OTT)C/LW43897816724653551742166614641.20%4068615.9721183933851013135254.08%466106360144.8600043472
2Nick PaulSenators de Belleville (OTT)C/LW455593148270073461807812630.56%4765514.57581316351122331056.81%25712336094.5100000230
3Rudolfs BalcersSenators de Belleville (OTT)LW/RW245660116416019431274210244.09%3749820.7723113436813365395050.00%267436084.6500000741
4Jordan SzwarzSenators de Belleville (OTT)RW225439932137255538149529136.24%4643619.8313142738770111102171.87%3274420104.2600014324
5Filip ChlapikSenators de Belleville (OTT)C2940529215966044781575310225.48%6659520.5291726287650581110063.41%52211540063.0900255036
6Cooper MarodySenators de Belleville (OTT)C/RW22382866-133152437105376536.19%3641919.0520113137820110161045.16%316029053.1500012302
7Morgan KlimchukSenators de Belleville (OTT)LW334224663039252934128448532.81%3140412.2600002000033050.00%2210035043.2600203222
8Martin KautSenators de Belleville (OTT)C3931184941610333192286033.70%253248.3110113000012155.52%2815921033.0200001012
9Drake BathersonSénateurs d'OttawaC7192847212016935102554.29%418226.12411156211122412154.59%229234035.1400000230
10Jean-Christophe BeaudinSenators de Belleville (OTT)C/RW45142640-159965334387326716.09%293868.59000010000151075.86%296337002.0700454000
11Max VeronneauSenators de Belleville (OTT)RW11231235160031050153146.00%515614.2074111218000001157.14%7286034.4800000300
12Cody GoloubefSenators de Belleville (OTT)D206232940192120444443181813.95%4939319.69145830011044100.00%0346001.47007511000
13Erik BrannstromSenators de Belleville (OTT)D216152111295223258282910.34%4640019.09022019011018000.00%01721001.0500001000
14Mike ReillySénateurs d'OttawaD1201919291002322171080.00%2838532.15044443022057000.00%0225000.9900000000
15Andreas EnglundSenators de Belleville (OTT)D1401717344410252997110.00%3539228.03044237011053000.00%0426000.8700011000
16Andrew SturtzSenators de Belleville (OTT)RW453811-14271513164618206.52%241824.0602238000011056.52%232622001.2000210001
Team Total or Average4324765401016283695385507586149953898631.75%548650115.051041102142246261112232146125657.66%19258774620653.1300172335262520
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
1Marcus HogbergSenators de Belleville (OTT)1916100.8724.8311052089695402500.0000190001
2Filip GustavssonSenators de Belleville (OTT)199300.77010.1480500136591372300.00001635001
Team Total or Average3825400.8257.071910202251286774800.00003535002


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 Current Salary Salary 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 10Link
Andreas EnglundSenators de Belleville (OTT)D231996-01-21No189 Lbs6 ft3NoNoNo1Pro & Farm775,833$0$0$NoLink
Andrew SturtzSenators de Belleville (OTT)RW251994-09-21Yes185 Lbs5 ft8NoNoNo2Pro & Farm767,500$0$0$No767,500$Link
Cody GoloubefSenators de Belleville (OTT)D301989-11-30No200 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLink
Cooper MarodySenators de Belleville (OTT)C/RW231996-12-20Yes173 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Erik BrannstromSenators de Belleville (OTT)D201999-09-02Yes173 Lbs5 ft10NoNoNo3Pro & Farm894,166$0$0$No894,166$894,166$Link
Filip ChlapikSenators de Belleville (OTT)C221997-06-03No196 Lbs6 ft1NoNoNo2Pro & Farm728,333$0$0$No728,333$Link
Filip GustavssonSenators de Belleville (OTT)G211998-06-07Yes184 Lbs6 ft2NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Link
Jean-Christophe BeaudinSenators de Belleville (OTT)C/RW221997-03-25No185 Lbs6 ft1NoNoNo2Pro & Farm765,000$0$0$No765,000$Link
Joey DaccordSenators de Belleville (OTT)G231996-08-19Yes196 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Link
Jordan SzwarzSenators de Belleville (OTT)RW281991-05-13No200 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLink
Marcus HogbergSenators de Belleville (OTT)G251994-11-24No209 Lbs6 ft5NoNoNo1Pro & Farm835,000$0$0$NoLink
Martin KautSenators de Belleville (OTT)C201999-10-02Yes176 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Max VeronneauSenators de Belleville (OTT)RW241995-12-11Yes181 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Link
Michael CarconeSenators de Belleville (OTT)C/LW231996-05-18No170 Lbs5 ft10NoNoNo1Pro & Farm675,000$0$0$NoLink
Mike CondonSenators de Belleville (OTT)G291990-04-26No195 Lbs6 ft2NoNoNo2Pro & Farm2,400,000$0$0$No2,400,000$Link
Morgan KlimchukSenators de Belleville (OTT)LW241995-03-01No185 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLink
Nick PaulSenators de Belleville (OTT)C/LW241995-03-20No230 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$NoLink
Rudolfs BalcersSenators de Belleville (OTT)LW/RW221997-04-08No165 Lbs5 ft11NoNoNo2Pro & Farm759,167$0$0$No759,167$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1823.78188 Lbs6 ft11.83879,167$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rudolfs BalcersFilip ChlapikJordan Szwarz40122
2Michael CarconeCooper MarodyMax Veronneau30122
3Morgan KlimchukNick PaulJean-Christophe Beaudin20122
4Jordan SzwarzFilip ChlapikAndrew Sturtz10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andreas EnglundCody Goloubef40122
2Nick PaulMorgan Klimchuk30122
3Andreas EnglundCody Goloubef20122
4Rudolfs BalcersCooper Marody10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rudolfs BalcersFilip ChlapikJordan Szwarz60122
2Michael CarconeCooper MarodyMax Veronneau40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Andreas EnglundCody Goloubef60122
2Nick PaulMorgan Klimchuk40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Filip ChlapikJordan Szwarz60122
2Rudolfs BalcersCooper Marody40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Andreas EnglundCody Goloubef60122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Filip Chlapik60122Andreas EnglundCody Goloubef60122
2Jordan Szwarz4012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Filip ChlapikJordan Szwarz60122
2Rudolfs BalcersCooper Marody40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Andreas EnglundCody Goloubef60122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Rudolfs BalcersFilip ChlapikJordan SzwarzAndreas EnglundCody Goloubef
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Rudolfs BalcersFilip ChlapikJordan SzwarzAndreas EnglundCody Goloubef
Extra Forwards
Normal PowerPlayPenalty Kill
Jean-Christophe Beaudin, Andrew Sturtz, Michael CarconeJean-Christophe Beaudin, Andrew SturtzMichael Carcone
Extra Defensemen
Normal PowerPlayPenalty Kill
Andreas Englund, Cody Goloubef, Andreas EnglundCody Goloubef,
Penalty Shots
Filip Chlapik, Jordan Szwarz, Rudolfs Balcers, Cooper Marody, Michael Carcone
Goalie
#1 : Marcus Hogberg, #2 : Filip Gustavsson
Custom OT Lines Forwards
Filip Chlapik, Jordan Szwarz, Rudolfs Balcers, Cooper Marody, Michael Carcone, Max Veronneau, Max Veronneau, Nick Paul, Morgan Klimchuk, Jean-Christophe Beaudin, Andrew Sturtz
Custom OT Lines Defensemen
Andreas Englund, Cody Goloubef, , ,


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
1Admirals de Milwaukee101000001921-2101000001921-20000000000000.0001926450017519011024054755247032712131310770.00%4250.00%039171454.76%40478751.33%646127950.51%10597621047303599298
2Americans de Rochester210000104421231000001015141110000002972241.00044559900175190110268547552470365272179333.33%10100.00%039171454.76%40478751.33%646127950.51%10597621047303599298
3Barracuda de San José10100000812-410100000812-40000000000000.00081018001751901102395475524703401111123266.67%3166.67%039171454.76%40478751.33%646127950.51%10597621047303599298
4Bears de Hershey10100000213-110000000000010100000213-1100.000224001751901102195475524703279410100.00%20100.00%039171454.76%40478751.33%646127950.51%10597621047303599298
5Bruins de Providence 33000000301911220000001910911000000119261.00030437300175190110211454755247031054733394375.00%14842.86%239171454.76%40478751.33%646127950.51%10597621047303599298
6Checkers de Charlotte202000001732-1510100000913-410100000819-1100.0001720370017519011028754755247039943721218738.89%6516.67%039171454.76%40478751.33%646127950.51%10597621047303599298
7Comets d'Utica10100000610-40000000000010100000610-400.00068140017519011023454755247034192894250.00%6350.00%039171454.76%40478751.33%646127950.51%10597621047303599298
8Condors de Bakersfield10100000510-50000000000010100000510-500.0005712001751901102375475524703421837105360.00%7271.43%039171454.76%40478751.33%646127950.51%10597621047303599298
9Crunch de Syracuse321000002334-1121100000824-16110000001510540.6672331540017519011026754755247038932323915640.00%11463.64%139171454.76%40478751.33%646127950.51%10597621047303599298
10Devils de Binghamton211000001517-210100000513-811000000104620.50015183300175190110261547552470351299238225.00%20100.00%039171454.76%40478751.33%646127950.51%10597621047303599298
11Griffins de Grand Rapids321000004351-81100000016511211000002746-1940.6674354970017519011029054755247031466444358450.00%12558.33%139171454.76%40478751.33%646127950.51%10597621047303599298
12Heat de Stockton110000001211100000000000110000001211121.0001216280017519011024654755247032010112810660.00%30100.00%039171454.76%40478751.33%646127950.51%10597621047303599298
13Marlies de Toronto1100000013940000000000011000000139421.000131932001751901102455475524703462048204250.00%9811.11%239171454.76%40478751.33%646127950.51%10597621047303599298
14Monsters de Cleveland22000000281315110000002410141100000043141.0002841690017519011025754755247038730903616956.25%5260.00%039171454.76%40478751.33%646127950.51%10597621047303599298
15Penguins de Wilkes-Barre/Scranton10100000416-120000000000010100000416-1200.000448001751901102205475524703381588100.00%4325.00%039171454.76%40478751.33%646127950.51%10597621047303599298
16Phantoms de Lehigh Valley3210000032248211000002223-111000000101940.667324173001751901102138547552470313971482616637.50%5260.00%139171454.76%40478751.33%646127950.51%10597621047303599298
17Rampage de San Antonio110000001541111000000154110000000000021.000152338001751901102335475524703301522178450.00%6183.33%039171454.76%40478751.33%646127950.51%10597621047303599298
18Reign d'Ontario10100000416-1210100000416-120000000000000.0004610001751901102455475524703331399200.00%220.00%039171454.76%40478751.33%646127950.51%10597621047303599298
19Roadrunners de Tucson1100000011650000000000011000000116521.000112132001751901102425475524703461822113266.67%6350.00%039171454.76%40478751.33%646127950.51%10597621047303599298
20Rocket de Laval303000001568-5310100000821-1320200000747-4000.00015203500175190110282547552470311340862915320.00%8537.50%039171454.76%40478751.33%646127950.51%10597621047303599298
21Sound Tigers de Bridgeport22000000215161100000013491100000081741.0002127480017519011028554755247037741132211763.64%4175.00%039171454.76%40478751.33%646127950.51%10597621047303599298
22Stars du Texas110000002112000000000000110000002112021.0002131520017519011024254755247035335201833100.00%50100.00%039171454.76%40478751.33%646127950.51%10597621047303599298
23Thunderbirds de Springfield20200000830-2210100000313-1010100000517-1200.0008111900175190110248547552470396477921800.00%220.00%039171454.76%40478751.33%646127950.51%10597621047303599298
Total45241901010477480-321119000102322191324131001000245261-16520.578477663114000175190110215705475524703172073085358321910447.49%1587155.06%1139171454.76%40478751.33%646127950.51%10597621047303599298
25Wild de l'Iowa21001000201641100000011831000100098141.0002033530017519011027354755247038435433313753.85%14842.86%039171454.76%40478751.33%646127950.51%10597621047303599298
26Wolfpack de Hartford321000005028222200000033825101000001720-340.6675078128001751901102115547552470397295669211466.67%13376.92%439171454.76%40478751.33%646127950.51%10597621047303599298
27Wolves de Chicago1100000011380000000000011000000113821.000111829001751901102435475524703291013173266.67%4175.00%039171454.76%40478751.33%646127950.51%10597621047303599298
_Since Last GM Reset45241901010477480-321119000102322191324131001000245261-16520.578477663114000175190110215705475524703172073085358321910447.49%1587155.06%1139171454.76%40478751.33%646127950.51%10597621047303599298
_Vs Conference33181400010345380-3516960001017515817179800000170222-52380.5763454648090017519011021096547552470312755446244061556642.58%984851.02%1139171454.76%40478751.33%646127950.51%10597621047303599298
_Vs Division179700010176232-56843000106987-1895400000107145-38200.5881762334090017519011025145475524703660277324200632133.33%573243.86%639171454.76%40478751.33%646127950.51%10597621047303599298

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4552L747766311401570172073085358300
All Games
GPWLOTWOTL SOWSOLGFGA
4524191010477480
Home Games
GPWLOTWOTL SOWSOLGFGA
211190010232219
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2413101000245261
Last 10 Games
WLOTWOTL SOWSOL
090010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
21910447.49%1587155.06%11
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
54755247031751901102
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
39171454.76%40478751.33%646127950.51%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
10597621047303599298


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
1 - 2019-08-163Senators de Belleville13Marlies de Toronto9WBoxScore
4 - 2019-08-1926Wolfpack de Hartford4Senators de Belleville23WBoxScore
9 - 2019-08-2454Rampage de San Antonio4Senators de Belleville15WBoxScore
11 - 2019-08-2672Crunch de Syracuse3Senators de Belleville4WBoxScore
13 - 2019-08-2883Wild de l'Iowa8Senators de Belleville11WBoxScore
16 - 2019-08-31105Senators de Belleville11Wolves de Chicago3WBoxScore
18 - 2019-09-02113Senators de Belleville11Roadrunners de Tucson6WBoxScore
20 - 2019-09-04129Senators de Belleville21Stars du Texas1WBoxScore
22 - 2019-09-06143Griffins de Grand Rapids5Senators de Belleville16WBoxScore
24 - 2019-09-08157Sound Tigers de Bridgeport4Senators de Belleville13WBoxScore
26 - 2019-09-10175Barracuda de San José12Senators de Belleville8LBoxScore
32 - 2019-09-16205Senators de Belleville11Bruins de Providence 9WBoxScore
34 - 2019-09-18223Senators de Belleville17Wolfpack de Hartford20LBoxScore
35 - 2019-09-19229Senators de Belleville8Sound Tigers de Bridgeport1WBoxScore
37 - 2019-09-21244Reign d'Ontario16Senators de Belleville4LBoxScore
39 - 2019-09-23257Checkers de Charlotte13Senators de Belleville9LBoxScore
41 - 2019-09-25270Senators de Belleville8Checkers de Charlotte19LBoxScore
43 - 2019-09-27282Senators de Belleville10Devils de Binghamton4WBoxScore
45 - 2019-09-29296Phantoms de Lehigh Valley8Senators de Belleville13WBoxScore
46 - 2019-09-30301Senators de Belleville29Americans de Rochester7WBoxScore
49 - 2019-10-03323Senators de Belleville17Griffins de Grand Rapids7WBoxScore
50 - 2019-10-04331Senators de Belleville4Rocket de Laval36LBoxScore
52 - 2019-10-06346Wolfpack de Hartford4Senators de Belleville10WBoxScore
55 - 2019-10-09366Senators de Belleville4Monsters de Cleveland3WBoxScore
57 - 2019-10-11385Bruins de Providence 4Senators de Belleville9WBoxScore
59 - 2019-10-13398Senators de Belleville9Wild de l'Iowa8WXBoxScore
60 - 2019-10-14404Senators de Belleville12Heat de Stockton1WBoxScore
63 - 2019-10-17432Senators de Belleville6Comets d'Utica10LBoxScore
64 - 2019-10-18434Senators de Belleville5Condors de Bakersfield10LBoxScore
67 - 2019-10-21459Senators de Belleville10Phantoms de Lehigh Valley1WBoxScore
69 - 2019-10-23469Bruins de Providence 6Senators de Belleville10WBoxScore
71 - 2019-10-25485Senators de Belleville3Rocket de Laval11LBoxScore
74 - 2019-10-28510Monsters de Cleveland10Senators de Belleville24WBoxScore
76 - 2019-10-30521Senators de Belleville5Thunderbirds de Springfield17LBoxScore
77 - 2019-10-31530Senators de Belleville15Crunch de Syracuse10WBoxScore
79 - 2019-11-02543Admirals de Milwaukee21Senators de Belleville19LBoxScore
81 - 2019-11-04560Phantoms de Lehigh Valley15Senators de Belleville9LBoxScore
83 - 2019-11-06575Americans de Rochester14Senators de Belleville15WXXBoxScore
89 - 2019-11-12609Devils de Binghamton13Senators de Belleville5LBoxScore
90 - 2019-11-13612Senators de Belleville4Penguins de Wilkes-Barre/Scranton16LBoxScore
93 - 2019-11-16634Thunderbirds de Springfield13Senators de Belleville3LBoxScore
95 - 2019-11-18649Crunch de Syracuse21Senators de Belleville4LBoxScore
98 - 2019-11-21674Senators de Belleville2Bears de Hershey13LBoxScore
101 - 2019-11-24691Senators de Belleville10Griffins de Grand Rapids39LBoxScore
102 - 2019-11-25697Rocket de Laval21Senators de Belleville8LBoxScore
105 - 2019-11-28720IceHogs de Rockford-Senators de Belleville-
107 - 2019-11-30735Wolves de Chicago-Senators de Belleville-
109 - 2019-12-02751Heat de Stockton-Senators de Belleville-
118 - 2019-12-11771Devils de Binghamton-Senators de Belleville-
119 - 2019-12-12774Senators de Belleville-Americans de Rochester-
122 - 2019-12-15789Bears de Hershey-Senators de Belleville-
123 - 2019-12-16804Senators de Belleville-Marlies de Toronto-
126 - 2019-12-19820Gulls de San Diego-Senators de Belleville-
128 - 2019-12-21835Eagles du Colorado-Senators de Belleville-
130 - 2019-12-23853Senators de Belleville-Moose du Manitoba-
133 - 2019-12-26868Senators de Belleville-Eagles du Colorado-
135 - 2019-12-28887Roadrunners de Tucson-Senators de Belleville-
137 - 2019-12-30902Marlies de Toronto-Senators de Belleville-
138 - 2019-12-31911Stars du Texas-Senators de Belleville-
140 - 2020-01-02922Americans de Rochester-Senators de Belleville-
142 - 2020-01-04936Moose du Manitoba-Senators de Belleville-
144 - 2020-01-06953Rocket de Laval-Senators de Belleville-
146 - 2020-01-08967Senators de Belleville-Monsters de Cleveland-
147 - 2020-01-09975Senators de Belleville-Admirals de Milwaukee-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2020-01-11989Comets d'Utica-Senators de Belleville-
151 - 2020-01-131006Griffins de Grand Rapids-Senators de Belleville-
154 - 2020-01-161024Senators de Belleville-Penguins de Wilkes-Barre/Scranton-
156 - 2020-01-181039Sound Tigers de Bridgeport-Senators de Belleville-
158 - 2020-01-201058Senators de Belleville-Barracuda de San José-
161 - 2020-01-231070Senators de Belleville-Gulls de San Diego-
162 - 2020-01-241082Senators de Belleville-Reign d'Ontario-
164 - 2020-01-261094Senators de Belleville-IceHogs de Rockford-
166 - 2020-01-281115Senators de Belleville-Rampage de San Antonio-
169 - 2020-01-311135Condors de Bakersfield-Senators de Belleville-
171 - 2020-02-021152Senators de Belleville-Bears de Hershey-
172 - 2020-02-031154Senators de Belleville-Checkers de Charlotte-
175 - 2020-02-061181Thunderbirds de Springfield-Senators de Belleville-
177 - 2020-02-081191Senators de Belleville-Bruins de Providence -
179 - 2020-02-101213Marlies de Toronto-Senators de Belleville-
182 - 2020-02-131237Senators de Belleville-Crunch de Syracuse-
184 - 2020-02-151246Senators de Belleville-Thunderbirds de Springfield-
186 - 2020-02-171268Penguins de Wilkes-Barre/Scranton-Senators de Belleville-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
20 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,582,500$ 1,582,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 82 8,508$ 697,656$




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
145241901010477480-321119000102322191324131001000245261-1652477663114000175190110215705475524703172073085358321910447.49%1587155.06%1139171454.76%40478751.33%646127950.51%10597621047303599298
Total Regular Season45241901010477480-321119000102322191324131001000245261-1652477663114000175190110215705475524703172073085358321910447.49%1587155.06%1139171454.76%40478751.33%646127950.51%10597621047303599298