Real questions, real answers, with the receipts

The Chiefs are 5-1 straight up but 3-3 against the closing spread in 2026. They've been somewhat inconsistent from game to game.

Against the spread:

• Covers: vs DEN (31-10 at -2.5, covered by 18.5), @ MIA (24-10 at -10, by 4), vs LAC (22-6 at -7.5, by 8.5)
• Misses: vs IND (33-30 at -6, missed by 3), @ LV (30-27 at -4.5, missed by 1.5), @ SEA (lost 3-20 as a 3-point underdog, missed by 14)

On average they've beaten the closing spread by 2.08 points a game, even with the 3-3 record. That's because two big covers (Denver, LA Chargers) outweighed the narrow misses. They were favored in all but the Seattle game. Games have gone under the closing total 4 times and over twice. Overall they've outscored opponents by 40 points.

Consistency:

• Their consistency score is in the 39th percentile, so their week-to-week play swings a bit more than average.
• Their EPA/play margin (how much more efficient they were per play than the opponent) averages 0.181. Single games ranged from -0.261 to 0.508, with a standard deviation of 0.275.
• 50% of their games were "boom" games (EPA/play margin above +0.241) and 16.7% were "bust" games (below -0.241).
• Points per drive on offense averaged 2.29 but ranged from 0.38 to 3.00. Points per drive allowed ranged from 0.55 to 3.00.

In short, when the Chiefs are good they're often very good. But the Seattle loss (offense at -0.105 EPA/play) and close wins over Indianapolis and Las Vegas show the floor can drop. All of this describes past games and isn't a forecast.

Source: NFL 2026 season through Week 7, closing lines and volatility data updated Oct 29, 2026 (public feed; EPA is raw, not opponent-adjusted).

Only one offense fits both: the Baltimore Ravens.

• EPA/play: 0.193, 3rd of 32. The league average is 0.007, and the top-5 cutoff was 0.175.
• PROE: -8.0%, 27th of 32 (ranked highest to lowest). The league average is -2.1%, and the bottom-10 cutoff was -3.9%.

That means Baltimore is one of the league's most efficient offenses while passing much less than expected. Keep in mind the sample is small: it covers only 3 games, and EPA here isn't adjusted for the strength of opponents.

Source: 2026 NFL regular season, full-season window through Week 3, updated 2026-10-01 (public Lab feed).

I've built the system. Open it here to see the results: /analytics/research-lab.html#q=eyJ2IjoiZ3ctcnEvMSIsInNwb3J0IjoibmZsIiwibWFya2V0Ijoic3ByZWFkIiwic2lkZSI6InRlYW0iLCJzZWFzb25zIjpudWxsLCJjb25kcyI6W3siaWQiOiJ2ZW51ZSIsInYiOiJyb2FkIn0seyJpZCI6InJlc3QiLCJtaW4iOjAsIm1heCI6Nn0seyJpZCI6Im9kZWYiLCJ2IjoidG9wIiwibiI6MTB9XX0%3D

It has three conditions:

• Home, road or neutral: Road
• Rest days (this team): 6 days or less. The Lab has no "short week" setting, so I used rest days instead. Normal rest between Sunday games is 7 days, so this catches Thursday games and other quick turnarounds. If you only want Thursday games, change it to 3–4 days.
• Opponent defence rank: top 10, ranked by EPA per play allowed

Other details:

• It's set to the spread market, and no season range is set, so it covers all available seasons. You can switch it to moneyline or totals.
• You can also tighten it with the "Rest vs opponent" condition, so it only picks road teams with less rest than their opponent.

I can't see records or ROI from here. Run it in the Lab to see how the system has done.

Source: Research Lab condition list (version 3e152bd845), public.