github.io - Pedro Tabacof
Part 1 of a series of 2 posts where I explore how I lost 1000 euros betting on CS:GO with machine learning (ML). This post covers the foundations of e-sports betting with ML: financial decision-making, expected profits of a bet, multiple bets with the Kelly criterion, probability calibration, and the winnerâs curse.
github.io - Pedro Tabacof
Part 2 of a series of 2 posts where I explore how I lost 1000 euros betting on CS:GO with machine learning (ML). This post covers the actual implementation of the solution: CS:GO, feature engineering, modelling, validation, backtesting and lessons learned.
smartbettingclub.com
In the latest SBC Podcast I am joined by Dylan, the co-founder and co-owner of Pinnacle Odds Dropper (or POD for short!) whoâs service was the focal point of the major review in our latest magazine!â
âChasing steamâ, âtop down bettingâ, âmarket moversâ and âwarm moneyâ â all of these terms broadly mean the same thing â following in smart money to make a profit.