The last two NFL MVP winners face off tonight with Josh Allen and Matthew Stafford getting the Monday Night Football spotlight, though our Bills vs. Rams AI picks focus on the Rams’ running game with Buffalo missing star defensive lineman Ed Oliver when these teams meet tonight at 8:15 pm ET on ESPN/ABC from SoFi Stadium in Inglewood, Calif.
Our AI model projects a 27-24 Rams victory as part of our NFL AI predictions for Week 5. Below, we break down Rams -2.5 and Under 54.5, along with our best anytime touchdown pick using the latest odds from the best prediction market apps.
Bills vs Rams AI picks
Win probability courtesy of Kalshi at time of publish; odds may vary.
Bills vs Rams AI prediction
MON · 8:15 pm ET · ESPN/ABCMore analysis
The Rams have a path to winning this game that starts with keeping Matthew Stafford out of difficult passing downs. Oliver’s absence gives Kyren Williams an opening against Buffalo’s interior, and productive early runs can make the Bills respect play-action instead of attacking the pocket. Buffalo needs a similar balance with James Cook, especially with Joshua Palmer out and DJ Moore questionable. Quick completions would help Josh Allen avoid holding the ball against a Rams rush that can end drives. Our three-point projection supports Rams -2.5, still available on Kalshi, but leaves little room to spare. It does not support laying -3.5.
Our 51-point projection puts us on Under 54.5 while still allowing both offenses to reach the mid-20s. Josh Inglis’ Bills vs. Rams prediction takes the Over, highlighting Buffalo’s defensive problems and Allen’s ability to keep pace. That is the danger here: explosive gains and short fields can erase the cushion quickly. For the Under to hold, Los Angeles needs to make Buffalo sustain drives and turn a few scoring opportunities into field goals. Williams can help at the other end by extending possessions and reducing the number of chances Allen gets. We land at Rams 27, Bills 24.

Bills vs Rams AI touchdown pick
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How our NFL AI predictions work
Our NFL AI predictions use a custom forecasting model built with GPT-6 Astra to project a final score for each matchup using historical scoring results, team-strength ratings, game conditions, matchup details, and other relevant context for predicting the final score.
The score forecasts are fixed before we compare them with the selected Kalshi spread and total to produce our ATS and Over/Under picks. Kalshi percentages are market quotes, separate from the score forecasts. We track results against the original selections and lines at time of publish.
We’ll continue updating the process as the season develops and publicly track every published score prediction, ATS pick, and Over/Under selection.






