Falcons

GP: 47 | W: 17 | L: 25 | OTL: 5 | P: 39
GF: 142 | GA: 180 | PP%: 35.04% | PK%: 73.03%
GM : Pat Blais | Morale : 50 | Team Overall : 56
Next Games #720 vs Ice Hogs
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
1Cedric PaquetteX97.008556798273577459765759722564676550630
2Wade MeganX100.007571846871808659745856635344446350600
3Max GortzX98.007874876674748054505647644544445850580
4Felix GirardX99.006866726766808851644354585144445750560
5Ben ThomsonX99.007381546681768448504546604444445450550
6Austin OrtegaX99.006560786360575759505262585944446050550
7Joel LowryX99.006968726668393557504862605944445950540
8Hunter Warner (R)X98.008283806583596344253439633744445150570
9Jake CheliosX97.007170726170697450454242594044445250560
Scratches
1Ben StreetX95.007467906867818567806862665947476750630
2Steve BernierX100.008180846780636561505062755975796550620
3Mitch Hults (R)X100.008480946380626458735458685544446350590
4Hampus Gustafsson (R)XX95.008377976277555751644750654844445750550
5Anthony CamaraX100.007570886370545552505247624544445550540
6Alex Dostie (R)X100.007162916662636750634946594444445550540
7Dominik ShineX100.006563685963596151504750564844445350520
8Brady BrassartX100.008275996575495144553844634244445250510
9Alex WidemanXX100.005453566353505150504353515044445150490
10Alex GrantX100.007578696878808656254651634844445950610
11Korbinian HolzerX100.007945886877575255254047692557575750600
12Nick DeSimone (R)X100.007972956572626650254143634144445450570
13Vince Pedrie (R)X100.007370796270646948253941603944445250560
14Macoy Erkamps (R)X100.007671866771677444253339603744445150560
15Mason GeertsenX100.007278586578636944253240583844444950550
16Andre BenoitX100.007369816569606449254240603844445250550
17Josiah DidierX100.007075596375586244253241573944444950530
TEAM AVERAGE99.08747079667263675247464962454747565056
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
1Eddie Lack100.00515569794951525750503059605250550
2Vitek Vanecek100.00506480684654505651513044445350530
Scratches
1Anthony Peters100.00556784745258536054543044445650570
TEAM AVERAGE100.0052627874495452585252304949545055
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 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
1Ben StreetFalcons (ARI)C42193352-1051354788166428211.45%1493222.205131820751017982059.73%7301636001.1203142452
2Steve BernierFalcons (ARI)RW39232346-1151755436156609114.74%2279520.401181927720001605254.29%703044011.1623528463
3Cedric PaquetteFalcons (ARI)C31122941-112820366312134739.92%2869022.28571217510002682159.79%6793027001.1911211234
4Max GortzFalcons (ARI)RW47142034-2640305356108318012.96%1085718.257132021790000341147.62%422637000.7901123320
5Ben ThomsonFalcons (ARI)LW47101424-618795733767123614.93%1982717.613589780000141153.49%431128000.5800766101
6Hampus GustafssonFalcons (ARI)C/LW47131023-138775494273233817.81%2184117.91561113820000222141.18%511526000.5500636223
7Wade MeganFalcons (ARI)C4713720-1674306264104367012.50%2578116.632356321013652057.94%3592728000.5113114114
8Austin OrtegaFalcons (ARI)RW4711920-1031154438103304410.68%1675816.13011330000060148.65%372539010.5300300211
9Alex GrantFalcons (ARI)D3131417-5714540444812166.25%3582326.563691167000076100.00%11263000.4100333010
10Joel LowryFalcons (ARI)LW478614-213420553678234810.26%2772415.420220150002430040.00%351929000.3900121113
11Korbinian HolzerFalcons (ARI)D221121324018252814133.57%3059727.14134456011265000.00%0445000.4400000211
12Felix GirardFalcons (ARI)C384913-86640483338122910.53%1556314.820331290000230048.62%218821000.4600224101
13Nick DeSimoneFalcons (ARI)D423710-29424028443111209.68%4895022.62325570011095000.00%1258000.2100215002
14Jake CheliosFalcons (ARI)D47189-1266203738221294.55%4587418.60134241000148000.00%0750000.2100112000
15Hunter WarnerFalcons (ARI)D47088-3689654765249190.00%47103822.100332800000930033.33%6489000.1500328000
16Andre BenoitFalcons (ARI)D3405544325121214470.00%1249614.59000080000160050.00%2031000.2000023002
17Ryan GravesCoyotesD71231959570214.29%318226.11101216000020000.00%0113000.3300010001
18Alex WidemanFalcons (ARI)LW/RW23112-760131013397.69%52048.87000030001150030.00%1074000.2000000000
19Alex DostieFalcons (ARI)C10011-500766450.00%2989.8900002000080058.33%3613000.2000000000
20Josiah DidierFalcons (ARI)D6000375420000.00%28414.130000000008000.00%005000.0000010000
Team Total or Average701137218355-2061086640736744120737269111.35%4261312318.7247781251438942241988816756.77%2320245676020.54411383456232328
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
1Eddie LackFalcons (ARI)28101310.8793.7714500091753453100.60052423210
2Anthony PetersFalcons (ARI)195940.8793.6511010067554317000.4005188100
3Vitek VanecekFalcons (ARI)72300.8704.21285002015496000.0000516200
Team Total or Average54172550.8783.762838001781461866100.500104747510


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alex DostieFalcons (ARI)C211997-04-13Yes165 Lbs5 ft10NoNoNo3RFAPro & Farm600,000$0$0$NoLink
Alex GrantFalcons (ARI)D291989-01-20No205 Lbs6 ft4NoNoNo3UFAPro & Farm500,000$0$0$NoLink
Alex WidemanFalcons (ARI)LW/RW271991-12-13No150 Lbs5 ft7NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Andre BenoitFalcons (ARI)D351984-01-06No191 Lbs5 ft11NoNoNo3UFAPro & Farm500,000$0$0$NoLink
Anthony CamaraFalcons (ARI)LW251993-09-03No192 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Anthony PetersFalcons (ARI)G281990-12-31No196 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Austin OrtegaFalcons (ARI)RW241994-04-12No174 Lbs5 ft8NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Ben StreetFalcons (ARI)C301988-02-13No199 Lbs5 ft11NoNoNo1UFAPro & Farm650,000$0$0$NoLink
Ben ThomsonFalcons (ARI)LW261993-01-15No205 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Brady BrassartFalcons (ARI)RW251993-06-14No207 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Cedric PaquetteFalcons (ARI)C251993-08-13No198 Lbs6 ft1NoNoNo1RFAPro & Farm900,000$0$0$NoLink
Dominik ShineFalcons (ARI)RW251993-04-18No179 Lbs6 ft2NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Eddie LackFalcons (ARI)G311988-01-05No187 Lbs6 ft4NoNoNo3UFAPro & Farm1,800,000$0$0$NoLink
Felix GirardFalcons (ARI)C241994-05-09No197 Lbs5 ft10NoNoNo3RFAPro & Farm850,000$0$0$NoLink
Hampus GustafssonFalcons (ARI)C/LW251993-10-26Yes205 Lbs6 ft4NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Hunter WarnerFalcons (ARI)D231995-09-21Yes223 Lbs6 ft4NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Jake CheliosFalcons (ARI)D271991-03-08No185 Lbs6 ft2NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Joel LowryFalcons (ARI)LW271991-11-14No181 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink
Josiah DidierFalcons (ARI)D251993-04-08No202 Lbs6 ft2NoNoNo1RFAPro & Farm650,000$0$0$NoLink
Korbinian HolzerFalcons (ARI)D291989-02-16No215 Lbs6 ft3NoNoNo1UFAPro & Farm950,000$0$0$NoLink
Macoy ErkampsFalcons (ARI)D231995-02-02Yes196 Lbs6 ft0NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Mason GeertsenFalcons (ARI)D231995-04-18No215 Lbs6 ft4NoNoNo1RFAPro & Farm650,000$0$0$NoLink
Max GortzFalcons (ARI)RW251993-01-28No196 Lbs6 ft3NoNoNo1RFAPro & Farm500,000$0$0$NoLink
Mitch HultsFalcons (ARI)C241994-11-13Yes218 Lbs6 ft3NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Nick DeSimoneFalcons (ARI)D241994-11-21Yes188 Lbs6 ft2NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Steve BernierFalcons (ARI)RW321986-07-15 7:46:14 AMNo220 Lbs6 ft3NoNoNo2UFAPro & Farm850,000$0$0$NoLink
Vince PedrieFalcons (ARI)D241994-01-17Yes194 Lbs6 ft0NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Vitek VanecekFalcons (ARI)G231996-01-08No180 Lbs6 ft1NoNoNo2RFAPro & Farm850,000$0$0$NoLink
Wade MeganFalcons (ARI)C281990-07-21No192 Lbs6 ft1NoNoNo1RFAPro & Farm850,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2926.10195 Lbs6 ft12.10679,310$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max Gortz40122
2Ben ThomsonCedric PaquetteAustin Ortega30122
3Joel LowryWade Megan20122
4Cedric PaquetteFelix GirardWade Megan10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Hunter WarnerJake Chelios40122
2Felix GirardJoel Lowry30122
3Hunter WarnerJake Chelios20122
4Max GortzAustin Ortega10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max Gortz60122
2Ben ThomsonCedric PaquetteAustin Ortega40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Hunter WarnerJake Chelios60122
2Felix GirardJoel Lowry40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cedric Paquette60122
2Wade MeganMax Gortz40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Hunter WarnerJake Chelios60122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Hunter WarnerJake Chelios60122
2Cedric Paquette4012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Cedric Paquette60122
2Wade MeganMax Gortz40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Hunter WarnerJake Chelios60122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Max GortzHunter WarnerJake Chelios
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Max GortzHunter WarnerJake Chelios
Extra Forwards
Normal PowerPlayPenalty Kill
, Ben Thomson, Felix Girard, Ben ThomsonFelix Girard
Extra Defensemen
Normal PowerPlayPenalty Kill
Hunter Warner, Jake Chelios, Hunter WarnerJake Chelios,
Penalty Shots
, Cedric Paquette, Wade Megan, Max Gortz, Felix Girard
Goalie
#1 : Eddie Lack, #2 : Vitek Vanecek


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
1 Admirals3210000014104110000007432110000076140.6671423370020655558032045545028933273599555.56%4250.00%042576355.70%49689155.67%44177756.76%7353581335392770384
2Barracuda40300100817-91010000037-430200100510-510.1258142200206555511032045545028151471478410440.00%16475.00%042576355.70%49689155.67%44177756.76%7353581335392770384
3Bruins1010000045-1000000000001010000045-100.0004711002065555343204554502852815153133.33%5180.00%142576355.70%49689155.67%44177756.76%7353581335392770384
4Checkers31200000712-52110000048-41010000034-120.3337121900206555580320455450289428444714321.43%70100.00%042576355.70%49689155.67%44177756.76%7353581335392770384
5Comets21100000871211000008710000000000020.500815230020655558032045545028561350337457.14%5180.00%042576355.70%49689155.67%44177756.76%7353581335392770384
6Condors2110000078-1000000000002110000078-120.500711180020655554232045545028552298222150.00%14471.43%042576355.70%49689155.67%44177756.76%7353581335392770384
7Griffins2110000025-32110000025-30000000000020.5002350020655552732045545028761952274125.00%60100.00%042576355.70%49689155.67%44177756.76%7353581335392770384
8Gulls421001001512320100100610-42200000092750.6251525400020655551213204554502811434806615320.00%5340.00%042576355.70%49689155.67%44177756.76%7353581335392770384
9Ice Hogs2010001089-12010001089-10000000000020.500811190020655556432045545028571447268225.00%6183.33%042576355.70%49689155.67%44177756.76%7353581335392770384
10IceCaps1010000023-1000000000001010000023-100.000235002065555313204554502833915124125.00%5260.00%042576355.70%49689155.67%44177756.76%7353581335392770384
11Marlies11000000321110000003210000000000021.00035800206555526320455450282764196233.33%20100.00%042576355.70%49689155.67%44177756.76%7353581335392770384
12Monsters11000000321110000003210000000000021.000358002065555323204554502819420224250.00%5180.00%042576355.70%49689155.67%44177756.76%7353581335392770384
13Moose1010000035-21010000035-20000000000000.00034700206555518320455450284315161911100.00%3166.67%042576355.70%49689155.67%44177756.76%7353581335392770384
14Phantoms1010000035-2000000000001010000035-200.000336002065555203204554502825112484125.00%7185.71%042576355.70%49689155.67%44177756.76%7353581335392770384
15Pirates1010000046-21010000046-20000000000000.0004610002065555273204554502842212316100.00%4250.00%042576355.70%49689155.67%44177756.76%7353581335392770384
16Rampage31101000912-31000100032121100000610-440.6679162500206555576320455450287323110868562.50%10640.00%042576355.70%49689155.67%44177756.76%7353581335392770384
17Reign41200001917-81100000032130200001615-930.37591524002065555863204554502810028106455240.00%13561.54%042576355.70%49689155.67%44177756.76%7353581335392770384
18Senators1010000037-4000000000001010000037-400.000358002065555263204554502843761154125.00%3166.67%042576355.70%49689155.67%44177756.76%7353581335392770384
19Sound Tigers1010000034-1000000000001010000034-100.000358002065555203204554502831820122150.00%50100.00%042576355.70%49689155.67%44177756.76%7353581335392770384
20Stars513000011016-63120000079-22010000137-430.3001013230020655551303204554502814146617715213.33%13192.31%142576355.70%49689155.67%44177756.76%7353581335392770384
Total47152501312142180-3823911011107487-1324614002026893-25390.415142230372002065555124232045545028146144611297641374835.04%1524173.03%242576355.70%49689155.67%44177756.76%7353581335392770384
22Wild11000000431000000000001100000043121.0004610002065555173204554502823911124375.00%3166.67%042576355.70%49689155.67%44177756.76%7353581335392770384
23Wolves11000000642110000006420000000000021.000611170020655553632045545028471635183266.67%5260.00%042576355.70%49689155.67%44177756.76%7353581335392770384
24Wolves2010010079-21010000045-11000010034-110.250712190020655555932045545028662617244125.00%6266.67%042576355.70%49689155.67%44177756.76%7353581335392770384
_Since Last GM Reset47152501312142180-3823911011107487-1324614002026893-25390.415142230372002065555124232045545028146144611297641374835.04%1524173.03%242576355.70%49689155.67%44177756.76%7353581335392770384
_Vs Conference36131601312110131-211878011106066-61868002025065-15350.486110180290002065555960320455450281071333907601983737.76%1113370.27%142576355.70%49689155.67%44177756.76%7353581335392770384
_Vs Division1649002024761-14624001002026-61025001022735-8120.375478012700206555543932045545028476144481250391435.90%531767.92%042576355.70%49689155.67%44177756.76%7353581335392770384

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4739W114223037212421461446112976400
All Games
GPWLOTWOTL SOWSOLGFGA
4715251312142180
Home Games
GPWLOTWOTL SOWSOLGFGA
2391111107487
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2461402026893
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1374835.04%1524173.03%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
320455450282065555
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
42576355.70%49689155.67%44177756.76%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
7353581335392770384


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
2 - 2018-10-0310Falcons1Stars4LBoxScore
4 - 2018-10-0526Stars4Falcons3LBoxScore
6 - 2018-10-0735Falcons2Barracuda3LXBoxScore
8 - 2018-10-0951Ice Hogs3Falcons4WXXBoxScore
10 - 2018-10-1170Falcons2Stars3LXXBoxScore
11 - 2018-10-1271Falcons1Reign4LBoxScore
14 - 2018-10-1592Griffins1Falcons2WBoxScore
16 - 2018-10-17110Comets3Falcons2LBoxScore
18 - 2018-10-19126Falcons2Rampage7LBoxScore
20 - 2018-10-21140Reign2Falcons3WBoxScore
22 - 2018-10-23157Falcons4Condors3WBoxScore
23 - 2018-10-24164Falcons4Gulls1WBoxScore
26 - 2018-10-27184Gulls4Falcons3LXBoxScore
28 - 2018-10-29200Falcons3Reign8LBoxScore
30 - 2018-10-31212Stars1Falcons3WBoxScore
32 - 2018-11-02231Falcons2Barracuda3LBoxScore
34 - 2018-11-04243Rampage2Falcons3WXBoxScore
36 - 2018-11-06255Falcons1Barracuda4LBoxScore
38 - 2018-11-08270Falcons4Wild3WBoxScore
39 - 2018-11-09278Stars4Falcons1LBoxScore
42 - 2018-11-12300Falcons3Wolves4LXBoxScore
43 - 2018-11-13309Pirates6Falcons4LBoxScore
46 - 2018-11-16330Falcons2IceCaps3LBoxScore
47 - 2018-11-17339Ice Hogs6Falcons4LBoxScore
50 - 2018-11-20364Wolves4Falcons6WBoxScore
52 - 2018-11-22378Falcons4Bruins5LBoxScore
53 - 2018-11-23388Falcons2Reign3LXXBoxScore
55 - 2018-11-25402Griffins4Falcons0LBoxScore
59 - 2018-11-29426Monsters2Falcons3WBoxScore
61 - 2018-12-01442Falcons5Gulls1WBoxScore
64 - 2018-12-04459 Admirals4Falcons7WBoxScore
66 - 2018-12-06478Falcons3Phantoms5LBoxScore
68 - 2018-12-08488Checkers7Falcons2LBoxScore
70 - 2018-12-10501Falcons3Checkers4LBoxScore
73 - 2018-12-13519Falcons4 Admirals5LBoxScore
74 - 2018-12-14525Barracuda7Falcons3LBoxScore
77 - 2018-12-17548Falcons4Rampage3WBoxScore
78 - 2018-12-18555Comets4Falcons6WBoxScore
82 - 2018-12-22581Moose5Falcons3LBoxScore
84 - 2018-12-24594Falcons3Sound Tigers4LBoxScore
86 - 2018-12-26612Falcons3 Admirals1WBoxScore
87 - 2018-12-27618Checkers1Falcons2WBoxScore
90 - 2018-12-30642Falcons3Condors5LBoxScore
91 - 2018-12-31648Gulls6Falcons3LBoxScore
94 - 2019-01-03675Wolves5Falcons4LBoxScore
96 - 2019-01-05685Falcons3Senators7LBoxScore
98 - 2019-01-07705Marlies2Falcons3WBoxScore
100 - 2019-01-09720Falcons-Ice Hogs-
102 - 2019-01-11735Crunch-Falcons-
104 - 2019-01-13749Falcons-Devils-
106 - 2019-01-15767Wolf Pack-Falcons-
108 - 2019-01-17780Falcons-Senators-
110 - 2019-01-19793Falcons-Gulls-
111 - 2019-01-20803Heat-Falcons-
114 - 2019-01-23822Falcons-Sound Tigers-
116 - 2019-01-25834Wild-Falcons-
120 - 2019-01-29863Wolves-Falcons-
123 - 2019-02-01883Falcons-Wild-
124 - 2019-02-02894Heat-Falcons-
127 - 2019-02-05909Falcons-Heat-
129 - 2019-02-07923Wolves-Falcons-
133 - 2019-02-11948Bears-Falcons-
135 - 2019-02-13965Falcons-Stars-
137 - 2019-02-15980Reign-Falcons-
139 - 2019-02-17996Falcons-Griffins-
141 - 2019-02-191012Barracuda-Falcons-
Trade Deadline --- Trades can’t be done after this day is simulated!
145 - 2019-02-231037Wild-Falcons-
146 - 2019-02-241043Falcons-Comets-
149 - 2019-02-271067IceCaps-Falcons-
152 - 2019-03-021083Falcons-Americans-
154 - 2019-03-041097Pirates-Falcons-
157 - 2019-03-071120Condors-Falcons-
158 - 2019-03-081126Falcons-Wolves-
159 - 2019-03-091128Falcons-Monsters-
163 - 2019-03-131154Penguins-Falcons-
165 - 2019-03-151168Falcons-Monsters-



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
15 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,156,122$ 1,970,000$ 1,890,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,151,217$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 69 11,726$ 809,094$




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
201847152501312142180-3823911011107487-1324614002026893-2539142230372002065555124232045545028146144611297641374835.04%1524173.03%242576355.70%49689155.67%44177756.76%7353581335392770384
Total Regular Season47152501312142180-3823911011107487-1324614002026893-2539142230372002065555124232045545028146144611297641374835.04%1524173.03%242576355.70%49689155.67%44177756.76%7353581335392770384