What Happens After an NFL Overtime Game? Next-Week Win and Cover
Overtime winners won and covered less often the following week than teams coming off close regulation games. Overtime losers looked ordinary against the spread but poor on the moneyline.
After an NFL team plays an overtime game, how often does it win and cover its next game compared with teams coming off a close regulation game?
- A47.8%Overtime winners: next-game cover rate
- B51.4%Overtime losers: next-game cover rate
- C45.6%Overtime winners: next-game win rate
- D824Next games after overtime
Overtime games feel like they should leave a mark. There is an extra period of snaps, a draining finish, a short turnaround and a betting public that remembers the last thing it saw. So I wanted a straight answer. After an NFL team plays overtime, how does it fare the following week, straight up and against the spread, compared with teams coming off a close regulation game?
The headline is that overtime winners were the weaker next-week bet. Across 412 next games they won 45.6% and covered 47.8%, well short of the 52.4% break-even mark at โ110. Overtime losers covered 51.4%, which sits close to the 50.7% from teams that won by 1-8 in regulation. The study covers 1999-2025 and 7,276 completed games, and my free NFL tips page is where I turn reads like this into weekly picks.
Branch AOvertime winners lose without covering most often next week
This chart splits every next game into four outcomes. After an overtime win, 44.6% of games ended lost without covering, the largest share of any row, while won and covered came in at just 38.4%. Teams that won by 1-8 in regulation tell the opposite story, with 43.9% won and covered and 40.5% lost without covering.
Overtime losers look ordinary by comparison. They went 41.6% won and covered and 42.7% lost without covering, which almost mirrors the 41.2% and 42.9% from teams that lost by 1-8 in regulation.
View the data: the next game: win and cover branches
| Won and covered | Won, no cover | Lost, covered | Lost, no cover | |
|---|---|---|---|---|
| Won in overtime | 38.4% | 7.7% | 9.4% | 44.6% |
| Lost in overtime | 41.6% | 6.0% | 9.8% | 42.7% |
| Won by 1-8 in regulation | 43.9% | 8.8% | 6.7% | 40.5% |
| Lost by 1-8 in regulation | 41.2% | 7.2% | 8.7% | 42.9% |
| All other games | 40.9% | 8.8% | 8.9% | 41.4% |
I read this as a team that spent its energy and its luck in one game. A coin-flip finish that lands your way does not prove the side is better than its number, and the following week tends to show it.
Branch BThe market priced overtime teams near even, and both underdelivered
Here I set the closing moneyline win probability, with the margin removed, against how often teams actually won. These are games from 2006-2025 only. Overtime winners were priced at 48.6% and won 46.0% of 287 games. Overtime losers were priced at 50.0% and won 44.4% of 266.
Close regulation winners went the other way. They were priced at 51.9% and won 53.7% across 2,328 games, while close regulation losers and all other games landed almost exactly on their prices.
Ci = 95% range on the actual win rate.
View the data: next game: priced vs won
| Priced | Won | 95% range | |
|---|---|---|---|
| Won in overtime (287 games) | 48.6% | 46.0% | ยฑ5.8 |
| Lost in overtime (266 games) | 50.0% | 44.4% | ยฑ6 |
| Won by 1-8 in regulation (2,328 games) | 51.9% | 53.7% | ยฑ2 |
| Lost by 1-8 in regulation (2,225 games) | 48.3% | 47.8% | ยฑ2.1 |
| All other games (4,890 games) | 49.9% | 49.7% | ยฑ1.4 |
The important caveat is the width of those overtime ranges. With roughly 400 games behind each overtime row, the 95% range runs to 5.8 points for winners and 6 for losers. That means both gaps sit inside what plain noise could produce. I treat this as a lean worth respecting, not an edge worth staking heavily.
Branch COvertime losers held up on spreads but not moneylines
Flat one-unit stakes tell a split story. Backing overtime winners on the spread at โ110 returned โ8.6%, the worst spread figure in the chart, while their moneyline return was a milder โ4.1%. Overtime losers flipped that pattern, returning โ1.9% on the spread but โ15.0% on the moneyline.
Every other row sat in the ordinary losing range you expect once the margin is paid. Only close regulation winners on the moneyline finished in the black, and only barely.
View the data: flat-stake returns in the next game
| Spread | Moneyline | |
|---|---|---|
| Won in overtime | โ8.6% | โ4.1% |
| Lost in overtime | โ1.9% | โ15.0% |
| Won by 1-8 in regulation | โ3.2% | +0.3% |
| Lost by 1-8 in regulation | โ4.5% | โ3.6% |
| All other games | โ4.8% | โ3.6% |
For me the overtime-loser split says the spread handled them about right, but outright wins stayed scarce. A team that covers 51.4% while winning 47.4% is often keeping it close and still losing, which is exactly the profile where I would rather hold the points than chase the price.
Branch DTotals and lines barely moved after overtime
The table pulls everything together and adds the totals. The over hit in 49.0% of next games after an overtime win and 49.6% after an overtime loss, which is right in line with the 49.3% for all other games. I found no tired-defence shootout and no slow, grinding follow-up.
The average line barely shifted either. It was +0.5 after an overtime win and +0.1 after an overtime loss from the team side, against โ0.6 after a close regulation win. The market did not mark overtime winners up, and they still came in short.
| Previous game | Games | Won | Covered | Over hit | Avg line |
|---|---|---|---|---|---|
| Won in overtime | 412 | 45.6% | 47.8% | 49.0% | +0.5 |
| Lost in overtime | 382 | 47.4% | 51.4% | 49.6% | +0.1 |
| Tied after overtime | 30 | 30.0% | 43.3% | 53.3% | +1.2 |
| Won by 1-8 in regulation | 3,130 | 52.8% | 50.7% | 49.0% | โ0.6 |
| Lost by 1-8 in regulation | 2,997 | 48.4% | 49.9% | 51.4% | +0.6 |
| All other games | 6,740 | 49.7% | 49.8% | 49.3% | 0.0 |
Avg line from the team side: negative = favoured. Ties after overtime are a very small sample.
The overtime ties are the oddity, with only 30 next games, a 30.0% win rate and a 43.3% cover rate. That sample is far too thin to act on, so I note it and move on.
If this happensโฆ
They covered 47.8% the following week with a โ8.6% spread return. I use that as a reason to want a better number before backing them, not as an automatic fade.
Overtime losers returned โ1.9% on the spread but โ15.0% on the moneyline. If I like one of them, I would rather hold the points than lay a price on them winning outright.
The over landed 49.0% after an overtime win and 49.6% after an overtime loss. Overtime on its own gives me no reason to shade a total either way.
Questions bettors ask
Do NFL teams cover the spread after winning in overtime?
Less often than usual. Across 412 next games, overtime winners covered 47.8%, which is below the 52.4% needed to break even at โ110.
Is there an overtime hangover in the NFL?
There is a mild one for winners. They won 45.6% of their next games, compared with 52.8% for teams coming off a 1-8 point regulation win, although the overtime sample is small enough that some of that gap could be noise.
Should I bet the over after an NFL overtime game?
Not on that basis alone. The over hit in 49.0% of next games after an overtime win and 49.6% after an overtime loss, which is essentially a coin flip.
I'm Brianna Cole, based in Miami, and I write the American football tips at cricketscoretips.com โ breaking down spreads, totals and the matchups that settle them.
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