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60+ NFL Stats You Can't Find Anywhere Else (And Why They Matter)

·Chris
nfl-statsanalyticsprediction-marketsedge-detection

To truly break into the game of sport betting, I realized we needed a proper dataset.

So we built something different: a single NFL Stats Dashboard with 60+ metrics organized into 9 categories. Historical data from 1999 to present. Every team, every season, every week.

But here's what makes it interesting—we didn't just compile traditional stats. We built the metrics that matter for prediction market edge detection.

The Stats Nobody Else Shows You

Traditional stat sites give you PPG, yards, and wins. Cool. But they miss the metrics that actually predict future outcomes.

Edge Stats

These are the stats, in our opinion, that prediction markets consistently misprice:

Stat What It Tells You
1-Possession W/L Wins and losses in games decided by 8 points or less. A team with 8 wins but 6 one-possession wins? They're getting lucky. Markets don't adjust.
Comeback Wins Times they've won when trailing in Q4. Some teams execute under pressure. Others don't.
Blown Leads Times they've lost when leading in Q4. A "good" team that's blown 3 leads? The market still prices them like they're clutch.
Time Leading/Trailing Total minutes spent ahead vs behind. You can be 7-3 but only lead for 40% of your game time. That's a regression candidate.
2nd Half Differential Point differential in second halves only. This isolates coaching adjustments and conditioning from early-game variance.

The vs .500 splits are particularly undervalued. A team that's 6-0 against losing teams and 1-3 against winning teams? The market gives them credit for 7-3. The historical data says those records mean very different things for playoff performance.

Record Splits

Stat Why It Matters
vs .500+ Record against teams above .500 at game time
vs .500- Record against sub-.500 teams
Home/Away Some teams have massive home field advantages
Division Division games are their own animal
Conference Non-divisional conference record

These splits contextualize raw records. A 9-4 team with a 2-3 division record and 3-3 vs .500+ teams looks very different than their standings suggest.

The Complete 60+ Stat Breakdown

Here's what we track across all 9 categories:

Scoring (7 stats)

Points per game, points allowed, point differential, total TDs, points per drive, 2nd half points scored/allowed, turnover differential.

Offense (7 stats)

Total yards, yards per play, plays per game, first downs, 3rd down conversion rate, red zone TD%, and explosive plays (10+ rush, 20+ pass).

Passing (5 stats)

Passing yards, yards per attempt, completion percentage, sack rate allowed, explosive pass plays.

Rushing (4 stats)

Rushing yards, attempts, yards per rush, explosive rushing plays.

Defense (10 stats)

Total yards allowed, yards per play allowed, passing yards allowed, yards per pass allowed, rushing yards allowed, yards per rush allowed, sacks recorded, interceptions, pick-6s, takeaways, 3rd down % allowed, red zone TD% allowed.

We just added INTs and Pick-6s because these are defensive playmaking stats that markets underprice. A defense with 15 interceptions and 3 pick-6s is fundamentally different from one with 8 interceptions and 0 pick-6s—even if their points allowed are similar.

Special Teams (5 stats)

Field goal percentage, longest FG, net punt yards, touchback percentage, return yards per game.

Advanced (6 stats)

EPA per play (offense), EPA per play (defense), offensive success rate, defensive success rate, neutral pass rate, drives per game.

EPA (Expected Points Added) is the closest thing we have to a single number that captures play quality. Positive EPA means you're adding expected points on each play. Most sites show EPA totals—we show per-play rates so you can compare teams with different play volumes.

Why 27 Years of Data?

We process every NFL season from 1999 to present. That's not just for completeness—it's for edge detection.

When you're trying to answer "what happens when a team is down by 7 with 4 minutes left," you need sample size. A single season gives you maybe 50 instances. Twenty-seven seasons gives you thousands.

Historical base rates are the foundation of our GameStateEdge™ and RecordEdge™ algorithms. The stats dashboard is the raw material; the edge calculations are what we do with it.

How to Use This

For research: Filter by season and week, sort by any column, export what you need. Compare any team's performance across any time period.

For edge detection: Focus on the Edge Stats and Record Splits categories. These are the metrics that diverge most from market pricing.

For simulation: These 60+ stats power our NFL Game Simulator. The model uses them to build team-specific multipliers that adjust league-average event rates.

The dashboard is free. No sign-up required. Go explore.

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All trading involves risk. This is a research tool, not financial advice.