1. Ximing Yu Ying Jin Cai Chen

2. Business Model Targeted audience attract targeted advertisements $ Co-operate with betting companies by bringing in new customers through our bond with the visitors Charged membership service such as more critical information expose

3. Architecture

4. Data Mining Logistic Regression: Probability of each class label Input Pool(23 input) week, h/a points4week, h/a points10week, h/a points30week, h/a teamhomeawaywinratio, h/a drawratio, h/a avggoalfor10week, h/a avggoalfor40week, hometeamhomewinratio, awayteamawaywinratio, hometeamhomedrawratio, awayteamawaydrawratio, h/a avggoalagainst10week, h/a vggoalagainst40week Output: Result(hw-home win, aw-away win, draw-dr)

5. Data Mining Accuracy: 85% Average Odds as benchmark Predicted Probability V.s. Probability from odds Matchhwindrawawinhwindrawawin Napoli - Atalanta0.650.210.130.5460.2980.156 Udinese - Bari0.520.300.170.5990.2640.138 AS Roma - Cagliari0.820.120.050.6920.2190.089 Inter - Chievo0.840.100.040.6840.2360.08 Juventus - Parma0.700.190.100.5750.2770.148 Palermo - Sampdoria0.440.280.260.4510.3430.206 Genoa - AC Milan0.450.280.250.3740.3360.29 Bologna - Catania0.380.520.080.4380.3160.246 Livorno - Lazio0.140.250.600.3090.3810.31 Fiorentina - Siena0.680.210.100.370.4150.215

6. Novelty Google App Engine Intelligent Spider Data Duration: 12 Years Quick Search Engine for Clubs and Players

7. Competitor Analysis Website Rich History Data Information Integration EntertainPrediction BetExploror Football- Italian La Gazzetta dello Sport.it BetSmart

8. Team Contribution Team MemberTasks Ximing Yu Architecturing, Spidering Data pre-processing Ying JinWeb Design, Data Mining, API Integration Cai Chen Project Manager, API Integration, Data Mining