An Expected Value-calculation gives the expected gains from my bets on the games played during the first two days of the tournament as follows:
OUTCOME U_ODDS U_P P P_DELTA EV_PER_UNIT HOME AWAY CZE SVK DRAW 5.20 0.192308 0.243738 0.051430 0.267438 SVK LOSS 5.80 0.172414 0.169599 -0.002814 -0.016324 GER DEN DRAW 4.25 0.235294 0.274173 0.038879 0.165237 DEN LOSS 3.20 0.312500 0.341512 0.029012 0.092838 NOR LAT DRAW 4.00 0.250000 0.291737 0.041737 0.166949 RUS FRA DRAW 10.00 0.100000 0.184241 0.084241 0.842407 SUI AUT DRAW 5.50 0.181818 0.320461 0.138643 0.762537 AUT LOSS 6.75 0.148148 0.147649 -0.000499 -0.003367 SWE BLR DRAW 8.00 0.125000 0.209213 0.084213 0.673707 BLR LOSS 11.00 0.090909 0.149934 0.059025 0.649274
In the table above, the ‘OUTCOME’ column shows my bet, from the perspective of the ‘home’-team, ‘U_ODDS’ are the odds given by Unibet, ‘U_P’ are those odds converted to a probability, ‘P’ is the probability that my Bayesian model gives to the game, ‘P_DELTA’ the difference in Unibet’s and my programs belief on the outcome probability, and ‘EV_PER_UNIT’ the expected value per unit stake.
For these initial games, the calculated profit margin for my bets is 22%
Below the Expected Value in graphical form.
(The reason FIN-KOR has no bars in the graph is that those two teams have never met before at championship level, and thus not enough data for meaningful inferences)