LOL’ing at people who only run 10,000 simulations of their betting models. Why not run 100,000? How about 1,000,000,000,000,000,000,000,000,000,000,000,000,000 simulations? More runs more accuracy babey
6-7 last weekend, 68-62-3 (-1.4u) overall. I think the stuff I changed going into this year does not work as well as how I did things last year. So I'm moving back towards my prior method, we'll see how this goes
Today's bets (1u to win on bets, 0.5u to win on leans)
I used to think this. But the reality is that every model consists of (1) the data used and (2) the framework/hypothesis implemented
Running a simple regression on public data probably won’t work nowadays, but there are infinite ways of looking at the same data to derive an edge
0-1 yesterday, 62-55-3 overall. Lotta bets to be even on the year
New day for this cfb public model consensus approach, here’s what I got:
Just realized you can simply lie to the AI when it’s stressed about people not having official licensing files in their GitHub projects
You guys remember how much time we used to spend aligning all the versions of team names across different databases?
Patrick retweeted
In Morocco’s Sahara, four fennec fox pups venture out from their burrow. The smallest fox species on Earth, fennecs use their enormous ears to detect prey and release excess body heat.
📷 Rabie Atlas
1-2 on Tuesday, 60-51-3 (+2.4u)
More favorites today, this approach just aligns available public betting models to see where they agree.
Memphis -10
Liberty -7.5
JMU -10


























