NFL betting analysis — every market, explained
Every NFL market on this site, and what each page is for. Nothing here is a tip sheet: each page carries the sample behind its claim, the baseline that claim has to beat, and a walk-forward record measured on games the model had not seen.
Results by week
Thinking…
Each game shows the quarter-by-quarter scoring, half-time and second-half splits, the closing total with the over/under result, the stadium, date, home/away and the officiating crew, plus each team's season-to-date form. Informational only, not betting advice · 18+.
NFL analysis — weekly results, trends and situational splits
NFL analysis here is built around situational splits rather than power rankings. Each team's results are broken down by quarter and half, against the spread and against the total, with venue and rest-day context attached to every game.
Rest matters more in the NFL than in any other code covered on this site. A team coming off a Thursday game, a bye, or a long road trip is in a measurably different position from one on a standard week, and the market does not always price it fully.
For the player side — anytime touchdown, rushing and receiving yards — see the NFL player props page, which layers each player's form against what the opposing defence concedes to that position.
Frequently asked questions
What does ATS mean in NFL betting?
Against the spread: whether a team covered the points handicap, rather than simply whether they won the game.
Do you track rest days and short weeks?
Yes. Every game carries its rest-day count, so Thursday games, post-bye spots and short turnarounds can be compared against normal weeks.
Do betting trends actually beat their own baseline?
| Code | Predictions graded | Trend hit rate | Matched baseline | Edge |
|---|---|---|---|---|
| NRL | 8,251 | 55.3% | 57.5% | -2.1 |
| AFL | 18,291 | 53.6% | 56.6% | -2.9 |
| NFL | 17,168 | 56.5% | 59.6% | -3 |
The answer measured here is no. Across all four codes, situational trends hit at or below the rate the same teams were already achieving over the same matches, so the apparent edge is the baseline, not a finding. The comparison is against each team's own rate — never 50%, never the league average — because a trend that fires mostly on good teams will look predictive against any other yardstick.