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Tied at Half — Forget the Run Game. Here's What Actually Wins Second Halves

Ames · Feb 18, 2022


Tied at Half — Forget the Run Game. Here's What Actually Wins Second Halves

Back with another research post. The Super Bowl is over — the 2021–2022 season is fully wrapped — and this feels like the right time to dig into some NFL analytics. This is the second in the series (the first covered momentum and big defensive plays).

1. Introduction

That was a great Super Bowl. The Los Angeles Rams — widely described as going "all-in" on aggressive roster moves — delivered. Winning a championship in the specific window you target, in a league built around single-elimination postseason games, is genuinely hard to do. I watched the NFC Championship (49ers vs. Rams at SoFi) in person, and the Rams were clearly the better team. As someone at the game put it: "This was the Rams' year." Hard to argue with that.

Among the names that get discussed alongside Kupp and Donald on that team is head coach Sean McVay. He has a reputation — earned — as one of the most analytically sharp coaches in the league, and at 36 he became the youngest Super Bowl-winning coach in NFL history.

One of the most frequently cited McVay stats: his record when leading at halftime was essentially perfect. He went 45-0 before losing a second-half lead in Week 18 this year. Curious which game finally broke it? Check the ESPN game recap — and appreciate Jimmy G while you're there.

The 49ers vs. Rams Week 18 game that ended McVay's halftime win streak:

Put simply: if McVay had a halftime lead, you could more or less predict the outcome of the second half before it was played. Which raises an obvious question — what actually predicts second-half performance for everyone else?

2. The Paper

That's almost exactly what this 2014 paper addresses. Published in the Journal of Sports Economics, the study can be summarized as: "In games tied at halftime, which first-half statistics predict who wins?"

Predicting the Winner of Tied National Football League Games: Do the Details Matter?
Jared Quenzel, Paul Shea (Bates College) — Journal of Sports Economics, 2014
doi.org

The dataset: 429 games from 1994–2012 that were tied at halftime. For each game, the authors tracked a range of first-half statistics — passing yards, rushing yards, plays run, turnovers, special teams scores — and tested which of these correlated with winning the second half.

(Why limit to tied games? Because when a team is trailing, they pass more; when leading, they run more. Filtering to tied games removes this play-calling bias and isolates the effect of game content on outcomes.)

The most interesting thing about this paper is the hypotheses it explicitly tests — common "football wisdom" beliefs that most analysts and coaches treat as obvious:

  • "The team that receives the second-half kickoff has an advantage"
  • "Running the ball effectively in the first half gives you an edge in the second"

Do the numbers back these up?

3. Results: Testing "Second-Half Advantage" Intuitions

3.1. Hypothesis 1: Does Receiving the Second-Half Kickoff Help?

No statistically significant effect. (If anything, the team receiving the kickoff lost slightly more often.)

The authors' intuition: starting a drive from around the 25-yard line isn't a particularly advantageous field position, so there's no real mechanism for the kickoff receipt to translate into a win probability boost.

Data on second-half kickoff receipt win rates:

3.2. Hypothesis 2: Does Establishing the Run in the First Half Help?

No statistically significant effect.

Zero correlation. The authors argue this is a classic causality reversal: in winning games, teams run more because they're leading — not the other way around. "Establish the run to win" mistakes effect for cause. The Seahawks' coaching staff was making this point publicly around the same time.

Push-back on the "run to win" coaching orthodoxy:

3.3. Hypothesis 3: More Offensive Plays in the First Half = Fatigued Defense = Second-Half Edge?

No statistically significant effect.

My own intuition here: if a team ran a lot of plays in the first half and is still tied, that probably means their offense was inefficient. The opponent grinding them down in the second half seems just as plausible as the reverse. The effects probably average out to near zero.

3.4. Hypothesis 4: Fewer Turnovers in the First Half?

No statistically significant effect.

The logic cuts both ways: you could say "disciplined teams win second halves," but you could equally say "a team that forced turnovers and is still only tied has left points on the field." Neither effect dominates.

3.5. Hypothesis 5: Points from Defense or Special Teams?

No statistically significant effect.

Throw a pick-6 in the first half, you're still level at halftime — it doesn't predict anything about the second half. Worth noting, though: in the second half, special teams breakdowns probably do matter. Some fan bases know this better than others.

A painful blocked kick example:

4. So What Actually Matters? Two Things.

Every conventional wisdom hypothesis got refuted. What did show a statistically significant relationship with winning?

  • Factor 1: Sack Differential

The clearest and most robust finding: each additional sack allowed reduces win probability by approximately 1.7%. This was the only metric that held up clearly across analyses.

The authors' explanation: sacks have compounding effects — they hurt the opposing QB's confidence and rhythm, raise the probability of a backup QB entering the game, and create momentum shifts that don't require a turnover. It's another data point for the outsized importance of the quarterback position in NFL outcomes.

  • Factor 2: Passing Yards

First-half passing yards did correlate with second-half win probability. But there's a catch: when the authors controlled for point spread (pre-game favorite/underdog designation), the passing yards effect mostly disappeared.

The residual interpretation: better teams tend to have better passing attacks, and better teams win more often when games are tied at halftime. In other words, "if the game is tied at half, the pre-game favorite usually wins" — which is intuitive, but worth seeing in the data.

The authors' bottom line: "Stop talking about establishing the run and just throw the ball as much as possible to build the biggest lead you can." Analytically grounded, if somewhat obvious in retrospect.

5. Summary

In games tied at halftime:

  • The factors most coaches and fans cite — second-half kickoff receipt, running game efficiency, turnover margin, offensive play volume — show no statistically significant relationship with winning
  • Second-half outcomes are largely driven by team quality (roughly equivalent to passing game strength)
  • The one clear exception: the team that wins the sack battle in the first half has a measurable advantage
  • Which makes Joe Burrow's run to the Super Bowl — absorbing enormous sack totals throughout the regular season and playoffs — even more striking

We started with the Rams and ended with the Bengals. Fitting, given these were the last two teams standing. Congratulations to both.

Thanks for reading to the end.

Joe Burrow post-Super Bowl LVI tribute:

6. Further Reading

Predicting the Winner of Tied National Football League Games: Do the Details Matter?
Jared Quenzel, Paul Shea (Bates College) — Journal of Sports Economics, 2014
doi.org

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