Important Stats and Metrics for NFL Betting: Analytics to Know for Handicapping
Written by: Eddie Griffin
Last Update: Sun Sep 06, 2026, 11:08 pm ET
Read Time: 15 minutes
NFL bettors have access to more stats and metrics than ever before. Traditional box-score stats such as points, yards, touchdowns, and turnovers remain widely used, while efficiency metrics, advanced analytics, player-tracking data, betting trends, and statistical splits provide additional ways to evaluate teams, players, and matchups.
Having more data, however, does not automatically lead to better NFL betting decisions. A statistic can tell you something useful without telling you the whole story, and even an important number can be misleading when viewed without considering sample size, quality of opponents, injuries, game situations, or other relevant factors. Understanding what a stat does and does not measure is just as important as knowing the number itself.
Learning which NFL stats and metrics are useful for different types of analysis, along with understanding common NFL betting terminology, can help you make better sense of the information you encounter when researching games and bets.
This guide covers important offensive, defensive, advanced, and betting statistics, explains what they can tell NFL bettors, and looks at how to interpret and use statistical information when handicapping NFL games.
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Important NFL Stats & Metrics for Betting
There is no single statistic that tells bettors everything they need to know about NFL teams, players, and matchups. Different numbers measure different aspects of performance, and their usefulness depends on what you are trying to evaluate.
Traditional statistics such as points, passing yards, rushing yards, touchdowns, and turnovers remain useful starting points, but they often describe what happened without providing the full picture of how efficiently a team performed. An offense that gains 400 yards on 75 plays, for example, has performed differently from one that gains the same yardage on 55 plays.
Efficiency statistics can provide additional context by measuring performance on a per-play, per-drive, or per-attempt basis. Advanced metrics can take that analysis further, while betting statistics and trends show how teams and games have performed relative to sportsbook odds and lines.
The most useful NFL stats and metrics depend on the question you are trying to answer. The glossary below provides a quick reference for 20 NFL stats and metrics bettors may encounter when researching teams, players, and matchups. Use it to understand what each stat measures and why it may be relevant before we break down offensive, defensive, advanced, and betting statistics in more detail.
NFL Stats & Metrics Glossary
| NFL Stat or Metric | What It Measures | Why It Matters for Bettors |
| Points Per Game | Average points scored per game | Basic measure of scoring production. |
| Points Per Drive | Average points scored per possession | Measures scoring efficiency independent of possession volume. |
| Yards Per Play | Average yards gained or allowed per play | Measures overall offensive or defensive efficiency. |
| Yards Per Pass Attempt | Average yards gained per pass attempt | Provides context for passing efficiency. |
| Yards Per Rush | Average yards gained per rushing attempt | Measures rushing efficiency. |
| Third-Down Conversion % | Percentage of third downs converted | Shows how effectively offenses sustain drives. |
| Red-Zone TD % | Percentage of red-zone trips ending in touchdowns | Measures how efficiently teams finish scoring opportunities. |
| Turnover Margin | Takeaways minus turnovers committed | Shows the net impact of turnovers. |
| Explosive Plays | Runs or passes exceeding a defined yardage | Shows a team's ability to generate or prevent big gains. |
| EPA | How much a play changes expected points | Accounts for the situation and value of each play. |
| EPA Per Play | Average EPA generated or allowed per play | Helps compare efficiency across teams and samples. |
| Success Rate | Frequency of successful plays | Measures consistency and complements EPA. |
| CPOE | Completion percentage relative to expectation | Adds context to quarterback accuracy. |
| Pressure Rate | Frequency of quarterback pressures | Measures disruption beyond sacks. |
| Sack Rate | Frequency of sacks relative to pass plays | Adds context beyond raw sack totals. |
| YAC | Receiving yards gained after a catch | Shows production created after receptions. |
| Passer Rating | Quarterback passing efficiency | Provides a familiar snapshot of passing performance. |
| Red-Zone TD % Allowed | Opponent red-zone trips ending in touchdowns | Measures defensive red-zone performance. |
| ATS Record | Results relative to the point spread | Shows how often a team covers. |
| O/U Record | Results relative to the closing total | Shows how often games finish over or under. |
Offensive Stats & Metrics
Scoring is the ultimate objective of an NFL offense, making points per game a natural place to begin. However, scoring averages can be affected by defensive touchdowns, short fields, overtime, and the number of possessions a team receives.
Points per drive provides additional context by showing how efficiently an offense turns possessions into points. It can also make it easier to compare teams that play at different tempos.
Yards per play measures overall offensive efficiency without being distorted by the number of plays a team runs. Passing and rushing efficiency can be examined separately through yards per pass attempt and yards per rushing attempt.
Explosive plays provide another perspective. Some offenses generate scoring opportunities through big gains, while others rely more heavily on sustaining long drives. Comparing explosive-play production with overall efficiency can help show how an offense moves the football.
Situational statistics matter as well. Third-down conversion percentage measures how frequently an offense extends drives. Red-zone touchdown percentage shows how often trips inside the opponent's 20-yard line end in touchdowns.
Turnovers and sacks can disrupt otherwise productive offenses. Interceptions and lost fumbles end possessions, while sacks can put an offense behind schedule. Turnover totals can fluctuate, so consider how those turnovers occurred rather than focusing only on the number.
Individual statistics can help explain which players account for an offense's production. Quarterback efficiency, rushing production, targets, receptions, yards after catch, and other position-specific numbers can also provide context for player, team, and game props.
Use offensive statistics to answer specific questions about how effectively a team moves the ball, creates scoring opportunities, protects possession, and finishes drives.
Defensive Stats & Metrics
Many offensive statistics have defensive counterparts, but points and yards allowed do not tell the complete story of a defense.
Points allowed per game provides a basic measure of scoring defense. Points allowed per drive shows how frequently opponents turn possessions into points. Yards allowed per play can provide a clearer picture of overall defensive efficiency than total yards allowed.
Passing and rushing statistics can identify areas where a defense has performed well or poorly. Yards allowed per pass attempt and yards allowed per rush provide more context than total yardage. Those totals can be heavily influenced by how often opponents run or pass.
Explosive plays are another consideration. A defense may perform well on most snaps but still allow significant yardage or points through big gains. Defenses that limit explosive plays force opponents to sustain longer drives.
Sacks and pressure measure a defense's ability to disrupt opposing quarterbacks. Sack totals record completed takedowns, while pressure metrics capture disruption that does not result in a sack.
Situational statistics can also be useful. Third-down conversion percentage allowed measures how frequently opponents extend drives. Red-zone touchdown percentage allowed shows how often they turn red-zone opportunities into touchdowns.
Takeaways require context. Interceptions and forced fumbles can reflect defensive skill but tipped passes and fumble recoveries can cause turnover results to fluctuate.
Personnel matters too. Injuries to pass rushers, defensive backs, run defenders, or other important players can make season-long statistics less representative of the defense taking the field.
Use defensive statistics to investigate specific strengths, weaknesses, and matchups rather than treating rankings as automatic measures of which defense is better.
Advanced Stats & Metrics
Advanced NFL stats and metrics provide context that traditional box-score statistics cannot always capture. Bettors do not need to understand every advanced metric, but several have become common in football analysis.
Expected Points Added (EPA) measures how much a play increases or decreases a team's expected points. The calculation considers factors such as down, distance, and field position.
Consider two five-yard gains. Five yards on third-and-four produces a first down, while five yards on third-and-15 likely leads to a punt. Traditional yardage records both equally. EPA attempts to account for their different effects on scoring expectations.
EPA can also be aggregated into EPA per play and separated by passing, rushing, offense, defense, or game situation.
Success rate measures how consistently a team produces successful plays. The exact methodology can vary by source, but the metric generally evaluates whether each play produced a positive result for the situation.
EPA and success rate can complement each other. Strong EPA may be driven by several highly valuable plays even when an offense is inconsistent. Another offense may produce fewer explosive results but succeed more regularly.
Completion Percentage Over Expected (CPOE) evaluates quarterback accuracy relative to the difficulty of attempted passes. It provides context that completion percentage alone cannot.
Other advanced and tracking-based metrics include pressure rate, air yards, expected rushing yards, yards after catch over expected, time to throw, and receiver separation. Their usefulness depends on what you are researching.
Advanced metrics do not replace traditional statistics. Use them to examine performance from additional perspectives and understand how a source defines a metric before relying on it.
NFL Betting Stats, Trends & Splits
NFL stats measure what happens on the field. Betting statistics measure how teams and games have performed relative to sportsbook odds and lines.
An against-the-spread (ATS) record shows how often a team has covered the point spread. A team can win frequently but have a poor ATS record if its margins do not regularly exceed the spread.
Over/under records track how often games finish above or below the closing total. They show past results relative to market expectations. They do not mean a team is inherently an "Over team" or "Under team," since the total changes from game to game.
Statistical splits separate performance according to specific circumstances. Common examples include home and road results, favorite and underdog performance, first-half statistics, recent games, and divisional matchups.
Betting trends identify patterns in past results. Some can point toward something worth investigating, but a pattern does not necessarily have predictive value or mean it will continue.
Sample size is especially important when evaluating trends and splits. Adding more filters creates smaller samples, which can make historical coincidences look meaningful. A team's ATS record in a particular month, uniform, or kickoff window may tell you little about its next game.
Recent results also require context. They may better reflect current personnel or performance, but smaller samples are more vulnerable to unusual opponents, injuries, and game scripts.
Use betting stats, trends, and splits as information to investigate rather than automatic signals about what to bet.
How to Use NFL Stats When Betting
NFL stats are most useful when you know what you are trying to learn. Rather than starting with a long list of numbers, use statistics to investigate specific questions about a team, player, matchup, or betting market.
Start With the Question You Want to Answer
Different questions require different statistics. Evaluating a passing offense may involve yards per attempt, EPA per play, success rate, pressure and sack rates, explosive passes, and quarterback metrics. Evaluating how that offense matches up with an opposing defense may require looking at many of the same statistics from the other side of the ball.
A different set of numbers may be more relevant when researching a rushing matchup, scoring expectations, or specific NFL prop bets. Checking statistics simply because they are available can create more noise rather than better analysis.
Compare NFL Stats and Put Them in Context
Avoid relying too heavily on one statistic. A team ranking highly in one category does not necessarily mean it is strong in every related area. Comparing multiple relevant metrics can provide a more complete picture and help identify whether different numbers support or challenge your initial impression.
Context is equally important. Statistics can be affected by the quality of opponents, injuries and personnel changes, game situations, weather conditions, sample size, and other circumstances.
Consider how the sample you are using relates to the question you are asking. Full-season statistics can provide a larger and potentially more stable sample, while recent numbers may better reflect a team's current personnel or performance in some situations. Narrower splits can provide additional context, but smaller samples should be interpreted carefully.
Comparing related statistics can also help explain results. Strong scoring numbers accompanied by strong per-drive and per-play efficiency tell a different story from strong scoring numbers produced despite mediocre underlying efficiency. An unusual turnover margin, red-zone performance, or other result may similarly be worth investigating rather than assuming it will continue at the same rate.
Connect NFL Stats to Betting Odds
Identifying a statistical strength or weakness does not by itself establish that a particular wager is worthwhile. NFL point spreads, moneylines, totals, or prop bets represent prices or expectations that must be considered alongside your statistical research.
For example, identifying a favorable statistical matchup is only part of the equation if the point spread already reflects that advantage, particularly when that line is sitting on or near a key number. Similarly, strong offensive or defensive numbers may already be accounted for in a game total or the odds for a particular prop.
Statistics should ultimately leave room for interpretation. They can help identify strengths, weaknesses, tendencies, unusual results, and questions worth exploring, but they do not provide an automatic answer about what will happen in the next game.
Two bettors can evaluate the same statistical information and reach different conclusions about its significance. Learning which numbers matter for the question you are asking and then developing your own interpretation of what those numbers tell you are part of becoming a more informed NFL bettor.
Where to Find NFL Stats & Analytics
NFL stats are available from a wide range of sources, from traditional box scores and league standings to advanced analytics, player-tracking data, and betting information.
Betting News offers information-packed NFL odds and NFL picks pages, along with expert analysis backed by stats and research. Our content can be a starting point for evaluating NFL games and bets before you dig deeper with resources such as Pro Football Reference, NFL Next Gen Stats, PFF, and SumerSports.
Our NFL betting resources page highlights these and other useful sources for NFL betting research.
You don't need to use every available source. Build a manageable group of reliable resources, learn what each one does best, and turn to them when you need information that can help answer a specific question.
Conclusion
NFL bettors have access to more statistics and analytics than ever before, but more data does not automatically lead to better betting decisions. Understanding what a statistic measures, what it can tell you, and where its limitations lie is more important than collecting as many numbers as possible.
Use relevant stats to answer questions about teams, players, matchups, and betting markets. Compare related metrics, consider the context behind them, and account for injuries, personnel changes, weather, game situations, and other factors that statistics may not fully capture.
NFL stats should help you ask better questions and make more informed decisions, not tell you what to bet. Find the statistics and resources that work for your research process, learn how to interpret them, and use them as one part of your overall NFL betting analysis.
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