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Reception: 30/05/2026 - Acceptance: 01/06/2026

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Suggested reference: Gujer, D. (2026). How Data & Analytics Help Football Fans Predict and Understand NFL Games. Lecturas: Educación Física y Deportes, 31(337), 252-257. https://www.efdeportes.com/efdeportes/index.php/EFDeportes/article/view/8984

 

Abstract

    The 2025 NFL season's tight finishes highlighted a shift: fans now use data, not gut feelings, to analyze games. Driven by tracking tech like Next Gen Stats, viewers leverage advanced metrics—EPA, DVOA, and CPOE—to understand the "why" behind plays. While free tools like Pro Football Reference and NFL IQ make game prediction accessible, analytics remain an input, not a guarantee, bounded by unpredictable elements like weather and injuries.

    Keywords: NFL analytics. Fan predictions. Sports data tools.

 

Resumen

    Los ajustados finales de la temporada 2025 de la National Footbal League (NFL) evidenciaron un cambio: ahora los aficionados utilizan datos, no intuiciones, para analizar los partidos. Gracias a tecnologías de seguimiento como Next Gen Stats, los espectadores aprovechan métricas avanzadas —EPA, DVOA y CPOE— para comprender el porqué de las jugadas. Si bien herramientas gratuitas como Pro Football Reference y NFL IQ facilitan la predicción de los partidos, el análisis sigue siendo un aporte, no una garantía, y está sujeto a factores impredecibles como el clima y las lesiones.

    Palabras clave: Análisis de la NFL. Predicciones de los aficionados. Herramientas de datos deportivos.

 

Resumo

    A temporada de 2025 da NFL, com os seus finais renhidos, evidenciou uma mudança: os adeptos utilizam agora dados, e não palpites, para analisar os jogos. Impulsionados por tecnologias de rastreio como o Next Gen Stats, os espectadores utilizam métricas avançadas — EPA, DVOA e CPOE — para compreender o porquê por detrás das jogadas. Embora ferramentas gratuitas como o Pro Football Reference e o NFL IQ tornem a previsão de jogos acessível, as análises continuam a ser um input, não uma garantia, limitadas por elementos imprevisíveis como o clima e as lesões.

    Unitermos: Análises NFL. Previsões de fãs. Ferramentas de dados desportivos.

 

Lecturas: Educación Física y Deportes, Vol. 31, Núm. 337, Jun. (2026)

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    The 2025 NFL season had 73 games decided by three points or fewer, and fans who predicted those actual numbers used data and analysis, rather than gut feeling alone. NFL data analytics now sits at the center of how casual fans, fantasy players, and serious watchers understand each Sunday's match. Let’s understand the key stats, the free tools, and how they use data without overthinking the game.

 

Why NFL Fans Now Think Like Analysts? 

 

    A decade ago, most fans judged a quarterback by passing yards. Today, they look at how often he beats expectations on each throw. Traditional stats tell you what happened. Advanced stats tell you why.

 

    NFL Next Gen Stats collects over 500 million tracking points each season from sensors on player uniforms and in the ball. Broadcasts on Amazon's Prime Vision now show live win probability, route trees, and pressure stats on screen. Fans see the same data coaches do.

 

The Key NFL Stats Every Fan Should Know 

 

    Four stats give fans most of what they need: EPA shows how much a play improves a team's chances of scoring, DVOA measures team efficiency adjusted for opponent strength, CPOE judges a quarterback's accuracy on hard throws, and Next Gen Stats covers real-time tracking of speed and separation.

 

   Expected Points Added (EPA) 

 

    EPA measures how much each play raises or lowers a team's expected points on the drive. A 5-yard gain on third-and-4 is a win; a 5-yard gain on third-and-10 is a failure. If a team has a high offensive EPA and faces a defense with a poor defensive EPA, the matchup favors the offense.

 

   Defense-adjusted Value over Average (DVOA) 

 

    DVOA, created by Football Outsiders, compares a team's performance on every play to the league average for that situation, then adjusts for the strength of the opponent. A positive DVOA means a team is better than average. Use DVOA when one team has played a much harder schedule than the other.

 

   Completion Percentage over Expected (CPOE) 

 

    CPOE comes from Next Gen Stats and measures how much a quarterback's actual completion rate beats the expected rate based on throw difficulty. Air yards, defender distance, and pressure all factor in. Combine EPA and CPOE to see whether a quarterback produces real value or just stacks easy completions.

 

   Next Gen Stats 

 

   Next Gen Stats are the raw player-tracking numbers powered by AWS: top speed, separation at the catch, pressure probability, time to throw, and air yards. You can pull them free from the NFL Next Gen Stats site. They are useful for spotting things the box score hides, like a receiver getting open but rarely targeted.

 

Source: Gemini AI Plus

 

How Fans Use Data to Predict Game Outcomes 

 

    Fans often follow a simple three-layer process. 

 

    First, the Watch Layer 

 

    Read broadcast graphics during a game to notice live trends like a defense getting beaten on play-action. 

 

    Second, the Predict Layer 

 

    Pull EPA and DVOA for both teams before kickoff to see which side has the edge. 

 

    Third, the Decide Layer 

 

    Turn that read into a fantasy lineup choice, a confidence pick nfl prediction, or a take you share with friends.

 

Illustration 

 

    If Team A has an offensive EPA per play of +0.15 and faces Team B, which has a defensive EPA per play of +0.05 (a weak defense), the model favors Team A scoring well. Then check CPOE for Team A's quarterback. Strong CPOE, the read holds. With weak CPOE, the offense may stall against tight coverage.

 

    Free tools make this easy. Pro Football Reference for season stats, NFELO for win probabilities and EPA tiers, and the new NFL IQ platform from the NFL and AWS that lets fans ask basic questions like "Which running backs fit this team's scheme?"

 

    Many fans take this analytical mindset further by applying it to online sportsbooks, where stats like EPA and DVOA directly inform betting decisions. Crypto-native sportsbooks are an emerging trend, with platforms like Moonbet developing a full sportsbook as part of their 2026 roadmap. 

 

What Data Cannot Predict? 

 

    Data gives you an edge, not a guarantee. The weather can flip a pass-heavy team into a run game it is not built for. Late injuries to a starting quarterback or top corner can swing a spread by a touchdown. 

 

    Motivation matters, since a team chasing a playoff seed plays harder than one already locked in. Coaching surprises like a new scheme or aggressive fourth-down calls can rewrite a game plan mid-quarter.

 

    The fans who use analytics best treat it as one input, not the answer.

 

The Future of Fan Analytics 

 

    NFL IQ is the clearest sign of where fan analytics is heading. Built with Amazon Quick, it lets users ask natural-language questions about team needs, draft fits, and player performance, and returns answers with visual breakdowns. 

 

    Digital Athlete, another NFL and AWS project, runs millions of simulations to predict injury risk during games. Prime Vision now includes machine-learning features such as Defensive Alerts that flag incoming blitzers in real time.

 

Frequently Asked Questions 

 

    What is EPA in the NFL? 

 

    EPA stands for Expected Points Added. It measures how much each play increases or decreases a team's chance of scoring on that drive. A positive EPA means the play helped. A negative EPA means it hurts. Fans use EPA to judge plays beyond yardage, because not all yards add the same value.

 

    How accurate are NFL predictions based on analytics? 

 

    Top analytics models hit around 65% to 70% accuracy on game outcomes, which beats coin flips and many expert picks but is far from perfect. Public models like FiveThirtyEight's ELO system and NFELO track their results openly. Accuracy drops when injuries, weather, or motivation hit a game.

 

    What is the best free NFL stats website for fans? 

 

    Pro Football Reference covers full-season data with advanced metrics; NFL Next Gen Stats offers player-tracking data; and NFELO provides clean EPA-based team tiers and game projections. All three are free. NFL IQ lets newer fans ask questions in plain English and returns visual answers.

 

References 

 

Roumani, Y.F. (2023). Sports analytics in the NFL: classifying the winner of the superbowl. Annals of operations research, 325(1), 715-730. https://doi.org/10.1007/s10479-022-05063-x

 

Schoborg, C. (2023). Football by the Numbers: A Look into Sports Analytics Currently Used in the National Football League [These, Master of Science. University of Central Florida]. https://stars.library.ucf.edu/etd2020/1762

Lecturas: Educación Física y Deportes, Vol. 31, Núm. 337, Jun. (2026)