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Building Big Data Company In Sports-Be7ng Industry - Betegy Experience
November 2015
Oakland Athle?cs manager Billy Beane
used analy?cs to reverse the fortunes
of his failing MLB team
Isthereabe*erway?
We built an automated, self-learning system which predicts outcomes of football games with high accuracy.
It crunches numbers and applies advanced sta?s?cal analysis on a scale which is not achievable by a human.
As a result, BETEGY generates the most accurate predic?ons and helps users to significantly improve their ROI.
how it works
We take 50k+ football data points (provided by SportRadar) and apply our self-learning algorithm based on mathema?cal models and neural networks.
Our automa?c system considers following factors:
General sta?s?cs (goals scored and conceded, points gained, league posi?on etc.)
Presence and absence of key players
Weather condi?ons
Mo?va?onal factors (e.g. coach birthday)
Condi?on of the pitch
Odds from various bookmakers
accuracy in top leagues
30%
40%
50%
60%
70%
Premier League La Liga Bundesliga Seria A League 1
50%
46%
51%
55%53%
41%41%43%
55%
52%54%
41%
51%
57%55%
BETEGY WhoScored BSports
*resultsforseason2014-2015;homewin-draw-awaywinpredic<ons.
Data in sports
Teams and the analy?cs providers have come up with increasingly sophis?cated ways of
monitoring and capturing ever-growing volumes of data
Dallas Mavericks coach Rick Carlisle:
“We’re going to be a beWer team this year – we know that by the analy?cs.”
Data stream comes from 8 cameras installed around the stadium
The system tracks 10 data points per second for every player
1.4 million data points per game
Arsenal invests heavily into analy?cs
Teams have found that the cost of implemen?ng analy?cs
programs can quickly be recovered
FIFA has recently allowed players to wear monitoring equipment during matches for the first ?me
The World capacity to store informa?on
=> the revenues for collec?ng data will decrease over ?me
=> the revenues for data analysis will increase over ?me
& betting
While the sports industry itself generates around $300 billion a year, sports be7ng has an es?mated annual worth of between $350 and 400 billion [source: FIFA].
The job of the bookmaker is more financial management than number analysis.
=> if you play against the market, you win by having a strategy & beWer data for the analysis
Finding value
11
cost of mapping genome
1. business exists w/o Big Data un?l certain ?me => everyone will use Big Data eventually
1. business exists w/o Big Data un?l certain ?me => everyone will use Big Data eventually
2. no value = no revenue
why startups failing
• market problems • business model failure • poor management team • running out of cash • product problems
at BETEGY we also have: • Legal risks • Seasonality
Financing of the company
What investor you need?
Marketing for Big Data
products
we generate 200 pages with data per week
global vs. local
