Every pick. Locked in public. Receipts all season.
Bryan vs. the model vs. leading national NFL experts. Straight-up picks, transparent methodology, weekly commentary, and a running measurement of exactly how much Cowboys fandom costs.
“Well, I was late so I didn't get to pick Buffalo over Detroit. I WAS going to pick Buffalo, but I missed it as I am doing these on Friday morning. As you can see, I have a couple of games that I would call "upsets". I absolutely stunk on ice last week. Here's for a better Week 2! 😂😂😂Did I mention last week was awful? LOL”
A published pick receives a timestamp. At kickoff it becomes immutable in Postgres. The season record is the record.
The Pick Board
Straight-up winners
Cowboys Corner
Bryan is a die-hard Dallas Cowboys fan. Rather than pretending that has no effect on the picks, Pick'em measures it. Every time Bryan takes Dallas against the model, the override is logged and scored.
Bias Index = the share of published Cowboys games where the model picked against Dallas and Bryan still chose Dallas. Homer Tax = net wins lost versus the model on those completed overrides.
Bryan vs. Model vs. National Experts
Bryan: the final human pick, informed by data and judgment.
Model: a versioned quantitative score with no fan loyalty. Its Edge score measures how far apart the teams grade in the model; it is not a claimed win probability.
National Expert Benchmark: the strongest published straight-up season record in the CBS Sports national expert panel. This is the bar Bryan and the model are chasing, not an average fan baseline. View source ↗
Football is the demo. The system is the point.
Pick'em combines data ingestion, scoring logic, model versioning, historical measurement, publishing, and interactive visualization. That same systems thinking is what Crouch Development applies to business operations.