Senators

GM : Dominic Belley Morale : 33 Team Overall : 46
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
1Jiri SekacXX100.00603585696761515135525060483633034540
2Paul CareyXX100.00513595716254355035415859484037047530
3Carl KlingbergXX100.00483594687244334435335353474138066500
4Alexandre GrenierX100.00543586677153353550353562483532061480
5Brendan Lemieux (R)X100.00454545457145454545454545453230066460
6James Lodge (R)X100.00434343434843434343434343433230065430
7Scott GlennieX100.00609030337133403335333333473532030380
8Peter LeBlancXX100.00328535356433463335333335473532065380
9Brett GallantX100.00508535356233433335333335473532046380
10Drew LeBlancX100.00328733336633483335333333473532034370
11Patrick HollandXX100.00328535355833443335333335473532033370
12Dylan OlsenX100.00613585657564394635484370564439063580
13Evgeny MedvedevX100.00543578666156434835474973453532043560
14Matt DonovanX100.00573586636758354535493967473937065550
15Tommy CrossX100.00613595636850353335333270483532065530
16Cameron SchillingX100.00513573645751333335333367473936065510
17Theo PeckhamX100.00528535438733573335333345474842065470
18Alexander UrbomX100.00398337497233553335333353474138062460
19Roland McKeown (R)X100.00454545456345454545454545453230066460
Scratches
1Andre BenoitX100.00535087696160394635494369484642020560
TEAM AVERAGE100.0049556253664642403739405347383405348
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
1Jason LaBarbera100.0044456290454445454362605852019520
2Mason McDonald (R)100.0045454566454545454545453230025460
Scratches
1Eric Comrie (R)100.0045454559454545454545453230060450
2Scott Clemmensen100.002020202020202020202020202009210
TEAM AVERAGE100.003939435939393939384343363302841
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Troy Ward44596646756359USA562500,000$


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 GP 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
1Evgeny MedvedevSenators (Ott)D58245983-461592731940012.37%89108518.721620361312040222188420.00%000001.5300001666
2Paul CareySenators (Ott)LW/RW58373269627588902480014.92%597016.72131932741910007965351.06%4700021.4203001582
3Carl KlingbergSenators (Ott)LW/RW58182644321568461400012.86%985214.707132029186000003048.33%6000001.0313001134
4Jiri SekacSenators (Ott)LW/RW38192443610016601080017.59%371518.8371219381492023742153.15%11100001.2012000313
5Dylan OlsenSenators (Ott)D53112839044079591100010.00%75111521.058513671960003170010.00%000000.7002000022
6Brendan LemieuxSenators (Ott)LW587411-233156318470014.89%861310.5700000000001056.25%3200000.3600001030
7Matt DonovanSenators (Ott)D585611-213205951350014.29%3566711.5100045000125010.00%000000.3300000020
8Cameron SchillingSenators (Ott)D581910-7195493827003.70%413896.710110000000000.00%000000.5100000000
9Alexandre GrenierSenators (Ott)RW45279-17100266372002.78%1457312.75022150001770056.78%11800000.3100000010
10Tommy CrossSenators (Ott)D58099-21440524927000.00%3763510.960000000000000.00%000000.2800000001
11James LodgeSenators (Ott)C58448-9320536355007.27%54597.9300000000000047.81%43300000.3500000000
12Roland McKeownSenators (Ott)D58347-73955110220013.64%163886.700000000000010.00%000000.3600001010
13Theo PeckhamSenators (Ott)D5842624080180022.22%4621.08314163400005000.00%000001.9100000100
14Drew LeBlancSenators (Ott)C15022-100264000.00%0422.8300000000000048.98%4900000.9400000010
15Brett GallantSenators (Ott)LW58112-3160112100010.00%01141.980116400000241044.00%5000000.3500000000
16Peter LeBlancSenators (Ott)C/LW58011-400436000.00%0811.410115200000430047.22%3600000.2400000000
17Alexander UrbomSenators (Ott)D580000215763000.00%8791.3800001000272000.00%000000.0000001000
18Patrick HollandSenators (Ott)C/RW10000-6195120000.00%0808.0800000000000028.57%700000.0000000000
Team Total or Average915136218354-1064304072963911260012.08%34989309.76547512937110352241977916949.73%94300020.79210006162818
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
1Mason McDonaldSenators (Ott)58252660.8693.7132322120015290600.66715580200
2Eric ComrieSenators (Ott)71000.9032.43222009930011.0005053000
Team Total or Average65262660.8713.6334552120916220610.750205853200


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 Force Waivers Contract StatusType Current Salary Salary RemainingSalary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Alexander UrbomSenators (Ott)D241990-12-20No215 Lbs6 ft4YesNo5RFAPro & Farm750,000$750,000$750,000$750,000$750,000$Link
Alexandre GrenierSenators (Ott)RW241991-09-05No200 Lbs6 ft5NoNo4RFAPro & Farm585,000$585,000$585,000$585,000$Link
Andre BenoitSenators (Ott)D311984-01-06No191 Lbs5 ft11YesNo5UFAPro & Farm950,000$950,000$950,000$950,000$950,000$Link
Brendan LemieuxSenators (Ott)LW191996-05-15Yes206 Lbs6 ft0NoNo4ELCPro & Farm792,000$792,000$792,000$792,000$Link
Brett GallantSenators (Ott)LW261988-12-28No190 Lbs6 ft0NoNo2RFAPro & Farm450,000$450,000$Link
Cameron SchillingSenators (Ott)D261988-10-07No182 Lbs6 ft2NoNo1RFAPro & Farm925,000$Link
Carl KlingbergSenators (Ott)LW/RW241991-01-28No205 Lbs6 ft3YesNo5RFAPro & Farm1,282,300$1,282,300$1,282,300$1,282,300$1,282,300$Link
Drew LeBlancSenators (Ott)C261989-06-29No195 Lbs6 ft0NoNo1RFAPro & Farm925,000$Link
Dylan OlsenSenators (Ott)D241991-01-03No223 Lbs6 ft2NoNo2RFAPro & Farm1,075,000$1,075,000$Link
Eric ComrieSenators (Ott)G201995-07-06Yes167 Lbs6 ft0NoNo4ELCPro & Farm642,000$642,000$642,000$642,000$Link
Evgeny MedvedevSenators (Ott)D331982-08-27No187 Lbs6 ft3YesNo5UFAPro & Farm975,000$975,000$975,000$975,000$975,000$Link
James LodgeSenators (Ott)C201995-05-05Yes166 Lbs6 ft0NoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Jason LaBarbera (1 Way Contract)Senators (Ott)G351980-01-18No232 Lbs6 ft3YesNo2UFAPro & Farm650,000$650,000$Link
Jiri SekacSenators (Ott)LW/RW231992-06-10No195 Lbs6 ft2NoNo3RFAPro & Farm925,000$925,000$925,000$Link
Mason McDonaldSenators (Ott)G191996-04-23Yes178 Lbs6 ft4NoNo4ELCPro & Farm792,000$792,000$792,000$792,000$Link
Matt DonovanSenators (Ott)D251990-05-09No205 Lbs6 ft1NoNo3RFAPro & Farm600,000$600,000$600,000$Link
Patrick HollandSenators (Ott)C/RW231992-01-07No185 Lbs6 ft0NoNo2RFAPro & Farm640,000$640,000$Link
Paul CareySenators (Ott)LW/RW271988-09-24No190 Lbs6 ft0NoNo2RFAPro & Farm450,000$450,000$Link
Peter LeBlancSenators (Ott)C/LW271988-02-03No195 Lbs5 ft9NoNo2RFAPro & Farm450,000$450,000$Link
Roland McKeownSenators (Ott)D191996-01-20Yes195 Lbs6 ft0NoNo4ELCPro & Farm718,000$718,000$718,000$718,000$Link
Scott Clemmensen (1 Way Contract)Senators (Ott)G381977-07-23No200 Lbs6 ft2YesNo3UFAPro & Farm985,000$985,000$985,000$Link
Scott GlennieSenators (Ott)RW241991-02-22No204 Lbs6 ft1YesNo5RFAPro & Farm450,000$450,000$450,000$450,000$450,000$Link
Theo PeckhamSenators (Ott)D271987-11-10No246 Lbs6 ft2YesNo5RFAPro & Farm750,000$750,000$750,000$750,000$750,000$Link
Tommy CrossSenators (Ott)D261989-09-12No205 Lbs6 ft3YesNo5RFAPro & Farm750,000$750,000$750,000$750,000$750,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2425.42198 Lbs6 ft13.42758,804$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Paul CareyCarl Klingberg30122
3Brendan Lemieux20122
4James Lodge10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Evgeny Medvedev30122
3Matt DonovanTommy Cross20122
4Cameron SchillingRoland McKeown10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Paul CareyCarl Klingberg40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Evgeny Medvedev40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Paul Carey40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Evgeny Medvedev40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Evgeny Medvedev40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Paul Carey40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Evgeny Medvedev40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
Brett Gallant, Peter LeBlanc, Brett Gallant, Peter LeBlanc
Extra Defensemen
Normal PowerPlayPenalty Kill
Theo Peckham, Alexander Urbom, Matt DonovanTheo PeckhamAlexander Urbom, Matt Donovan
Penalty Shots
, , , Paul Carey, Carl Klingberg
Goalie
#1 : Mason McDonald, #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
Admirals2110000067-1110000005231010000015-420.5006111700112908973790189383941562339428225.00%130100.00%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Falcons311000101385201000108801100000050540.667131932011129089781901893839417428636314428.57%18477.78%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Bruins422000001618-22110000058-3211000001110140.50016254100112908971269018938394112035707216318.75%24387.50%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Crunch532000002017332100000141222110000065160.60020395900112908972269018938394115460529238718.42%24579.17%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Heat21100000510-5110000005411010000006-620.5005101500112908975690189383941852617327228.57%6266.67%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Phantoms31200000914-51010000046-22110000058-320.3339182700112908971319018938394110438225619315.79%10190.00%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Baby Hawks22000000853110000005321100000032141.00081220001129089769901893839415922304810220.00%13376.92%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Monsters20100100810-21010000045-11000010045-110.25081321001129089759901893839417318194814428.57%9277.78%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Jayhawks21000001651110000004221000000123-130.7506101600112908974690189383941451922477342.86%6183.33%11168264244.21%1124263542.66%636142144.76%1849124120556291051516
Cougars41200100912-32020000036-32100010066030.3759162500112908971079018938394112245398315213.33%17382.35%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Oil Kings20200000511-61010000025-31010000036-300.00051015001129089766901893839417025223319421.05%11463.64%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Sound Tigers30300000719-121010000035-220200000414-1000.000713200011290897719018938394110737226417211.76%11281.82%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Monarchs2110000079-21010000047-31100000032120.500714210011290897519018938394162128398450.00%4175.00%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Minnesota220000001275110000007431100000053241.000122032001129089776901893839411073424566350.00%7185.71%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Spiders30200010812-41000001032120200000510-520.33381220001129089783901893839419224377715426.67%15193.33%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Manchots31101000131122100100011831010000023-140.667132235001129089791901893839416518436216318.75%19573.68%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Wolf Pack311010001716111000000651201010001111040.66717335000112908971459018938394113632388119736.84%14471.43%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Sharks2020000048-41010000024-21010000024-200.000471100112908975590189383941531426557228.57%12466.67%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Chiefs20200000510-51010000023-11010000037-400.000510150011290897429018938394164152042800.00%10370.00%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Thunder411001011215-32110000067-12000010168-240.50012223400112908971189018938394112839529416318.75%19289.47%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Marlies4210000118162211000009902100000197250.62518335100112908971609018938394110934489622940.91%19573.68%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Comets211000001114-31100000064210100000510-520.5001122330011290897939018938394110830193316318.75%6433.33%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Cabaret Lady Mary Ann4220000022202211000001211121100000109140.50022426400112908971499018938394118853379120840.00%14564.29%11168264244.21%1124263542.66%636142144.76%1849124120556291051516
IceCaps2020000079-21010000045-11010000034-100.00071320001129089749901893839417016163711436.36%8537.50%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Chill20200000611-51010000036-31010000035-200.00061218001129089763901893839411003918449111.11%8275.00%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Rocket514000001624-821100000910-130300000714-720.200162844101129089717390189383941145487310633515.15%19194.74%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Bears311010001192211000008711000100032140.66711193000112908978190189383941903036601317.69%15473.33%11168264244.21%1124263542.66%636142144.76%1849124120556291051516
Caroline30300000713-62020000059-41010000024-200.00071421001129089782901893839411263342729111.11%12558.33%11168264244.21%1124263542.66%636142144.76%1849124120556291051516
Las Vegas2110000089-1110000004311010000046-220.5008152300112908976890189383941992724558225.00%11281.82%01168264244.21%1124263542.66%636142144.76%1849124120556291051516
Vs Conference39102203121136166-3019610010207280-820412021016486-22320.410136240376011129089711829018938394112573854908461884322.87%1903880.00%11168264244.21%1124263542.66%636142144.76%1849124120556291051516
Since Last GM Reset82274403323296349-5341172101020163170-741102302303133179-46700.4272965348301111290897265490189383941281187497817804209823.33%3748477.54%41168264244.21%1124263542.66%636142144.76%1849124120556291051516
Total82274403323296349-5341172101020163170-741102302303133179-46700.4272965348301111290897265490189383941281187497817804209823.33%3748477.54%41168264244.21%1124263542.66%636142144.76%1849124120556291051516

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8270L129653483026542811874978178011
All Games
GPWLOTWOTL SOWSOLGFGA
8227443323296349
Home Games
GPWLOTWOTL SOWSOLGFGA
4117211020163170
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4110232303133179
Last 10 Games
WLOTWOTL SOWSOL
441100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4209823.33%3748477.54%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9018938394111290897
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1168264244.21%1124263542.66%636142144.76%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1849124120556291051516


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 - 2016-10-121Marlies5Senators2LBoxScore
4 - 2016-10-1519Rocket5Senators6WBoxScore
6 - 2016-10-1735Senators4Cougars3WBoxScore
7 - 2016-10-1842Chill6Senators3LBoxScore
11 - 2016-10-2275Thunder4Senators2LBoxScore
14 - 2016-10-2591Senators5Comets10LBoxScore
17 - 2016-10-28110Senators0Heat6LBoxScore
19 - 2016-10-30129Senators3Oil Kings6LBoxScore
21 - 2016-11-01131Caroline4Senators2LBoxScore
23 - 2016-11-03153Comets4Senators6WBoxScore
25 - 2016-11-05165Crunch2Senators6WBoxScore
28 - 2016-11-08190Senators4Las Vegas6LBoxScore
29 - 2016-11-09194Senators3Crunch4LBoxScore
31 - 2016-11-11208Monarchs7Senators4LBoxScore
33 - 2016-11-13225Minnesota4Senators7WBoxScore
35 - 2016-11-15233Senators2Phantoms6LBoxScore
37 - 2016-11-17246Las Vegas3Senators4WBoxScore
39 - 2016-11-19270Cabaret Lady Mary Ann8Senators7LBoxScore
42 - 2016-11-22287Senators4Rocket6LBoxScore
44 - 2016-11-24301Bruins6Senators1LBoxScore
46 - 2016-11-26314Caroline5Senators3LBoxScore
47 - 2016-11-27323Senators6Wolf Pack7LBoxScore
49 - 2016-11-29333Crunch7Senators3LBoxScore
51 - 2016-12-01349Phantoms6Senators4LBoxScore
53 - 2016-12-03370Cabaret Lady Mary Ann3Senators5WBoxScore
55 - 2016-12-05379Senators2Manchots3LBoxScore
57 - 2016-12-07394Senators2Sharks4LBoxScore
60 - 2016-12-10418Senators3Monarchs2WBoxScore
61 - 2016-12-11421Senators1Admirals5LBoxScore
64 - 2016-12-14441Sharks4Senators2LBoxScore
67 - 2016-12-17463Spiders2Senators3WXXBoxScore
68 - 2016-12-18470Senators3Sound Tigers4LBoxScore
70 - 2016-12-20489Senators3Baby Hawks2WBoxScore
72 - 2016-12-22499Admirals2Senators5WBoxScore
77 - 2016-12-27519Senators5Wolf Pack4WXBoxScore
79 - 2016-12-29534Cougars3Senators1LBoxScore
82 - 2017-01-01560Senators3Bears2WXBoxScore
88 - 2017-01-07592Bears4Senators3LBoxScore
89 - 2017-01-08606Oil Kings5Senators2LBoxScore
93 - 2017-01-12625Manchots4Senators6WBoxScore
95 - 2017-01-14643Marlies4Senators7WBoxScore
98 - 2017-01-17666Senators3Chiefs7LBoxScore
100 - 2017-01-19678Senators5Falcons0WBoxScore
102 - 2017-01-21692Senators3Marlies4LXXBoxScore
103 - 2017-01-22704Falcons4Senators3LBoxScore
105 - 2017-01-24719Bears3Senators5WBoxScore
107 - 2017-01-26730Heat4Senators5WBoxScore
112 - 2017-01-31753Senators6Cabaret Lady Mary Ann3WBoxScore
114 - 2017-02-02760Senators3Thunder4LXBoxScore
116 - 2017-02-04775Senators3Crunch1WBoxScore
119 - 2017-02-07795Chiefs3Senators2LBoxScore
121 - 2017-02-09802Jayhawks2Senators4WBoxScore
123 - 2017-02-11816Sound Tigers5Senators3LBoxScore
126 - 2017-02-14839Crunch3Senators5WBoxScore
128 - 2017-02-16847Senators2Spiders3LBoxScore
130 - 2017-02-18860Senators6Marlies3WBoxScore
131 - 2017-02-19879IceCaps5Senators4LBoxScore
133 - 2017-02-21882Senators3Spiders7LBoxScore
136 - 2017-02-24902Senators2Caroline4LBoxScore
138 - 2017-02-26916Senators4Cabaret Lady Mary Ann6LBoxScore
139 - 2017-02-27920Senators3Thunder4LXXBoxScore
142 - 2017-03-02942Monsters5Senators4LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
144 - 2017-03-04954Falcons4Senators5WXXBoxScore
146 - 2017-03-06970Bruins2Senators4WBoxScore
148 - 2017-03-08983Senators2Jayhawks3LXXBoxScore
149 - 2017-03-09987Senators3Chill5LBoxScore
151 - 2017-03-111008Senators4Monsters5LXBoxScore
154 - 2017-03-141024Thunder3Senators4WBoxScore
156 - 2017-03-161044Baby Hawks3Senators5WBoxScore
158 - 2017-03-181056Rocket5Senators3LBoxScore
159 - 2017-03-191064Senators2Rocket6LBoxScore
161 - 2017-03-211075Senators4Bruins5LBoxScore
163 - 2017-03-231093Manchots4Senators5WXBoxScore
165 - 2017-03-251107Senators1Rocket2LBoxScore
168 - 2017-03-281128Senators3Phantoms2WBoxScore
170 - 2017-03-301143Senators5Minnesota3WBoxScore
172 - 2017-04-011163Senators3IceCaps4LBoxScore
174 - 2017-04-031177Senators2Cougars3LXBoxScore
175 - 2017-04-041191Cougars3Senators2LBoxScore
177 - 2017-04-061197Senators7Bruins5WBoxScore
179 - 2017-04-081207Wolf Pack5Senators6WBoxScore
180 - 2017-04-091221Senators1Sound Tigers10LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price5020
Attendance6090830750
Attendance PCT74.28%75.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2236 - 74.52% 89,278$3,660,400$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,562,630$ 1,562,630$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
2,578,610$ 8,633$ 2,075,801$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 11,396$ 0$




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
201682274403323296349-5341172101020163170-741102302303133179-46542965348301111290897265490189383941281187497817804209823.33%3748477.54%41168264244.21%1124263542.66%636142144.76%1849124120556291051516
Total Regular Season82274403323296349-5341172101020163170-741102302303133179-46542965348301111290897265490189383941281187497817804209823.33%3748477.54%41168264244.21%1124263542.66%636142144.76%1849124120556291051516