2020-09-18
Through a model I built that can be found in another post, I simulated each of the Week 1 2020 games for the NFL season 10,000 times. Going forward I would like to keep a log of my results. The chart below summarizes the results.
Quickly to overview what's here:
In total, my predictions were correct 68% of the time and resulted in a whopping net profit of $91. This is a very naive approach to betting, but I kind of wanted to see the reuslt either way. Going forward I would like to try to measure my edge against bookmaker odds, and be more thoughtful with the theoretical betting approach.
Anyway - here's the summary:
Home Team | Away Team | Home Win Probability | Away Win Probability | Money Line Odds | Correct Prediction? | Total Payout with $100 Stake |
---|---|---|---|---|---|---|
KC | HOU | 0.8366 | 0.1634 | -420 | 1 | 119.231 |
WAS | PHI | 0.0408 | 0.9592 | -300 | 0 | 0 |
NE | MIA | 0.9947 | 0.0053 | -310 | 1 | 124.39 |
MIN | GB | 0.5817 | 0.4183 | -186 | 0 | 0 |
JAX | IND | 0.2381 | 0.7619 | -300 | 0 | 0 |
DET | CHI | 0.3894 | 0.6106 | 122 | 1 | 222 |
CAR | OAK | 0.5117 | 0.4883 | 120 | 0 | 0 |
BUF | NYJ | 0.815 | 0.185 | -260 | 1 | 127.778 |
BAL | CLE | 0.9661 | 0.0339 | -420 | 1 | 119.231 |
ATL | SEA | 0.2545 | 0.7455 | -120 | 1 | 145.455 |
CIN | LAC | 0.1853 | 0.8147 | -184 | 1 | 135.211 |
SF | ARI | 0.9879 | 0.0121 | -440 | 0 | 0 |
NO | TB | 0.6376 | 0.3624 | -240 | 1 | 129.412 |
LA | DAL | 0.5308 | 0.4692 | 114 | 1 | 214 |
NYG | PIT | 0.2356 | 0.7644 | -194 | 1 | 134.014 |
DEN | TEN | 0.233 | 0.767 | 120 | 1 | 220 |