Taylor Fritz vs. Holger Rune prediction, odds, picks for ATP Stockholm Open 2026

Using powerful machine learning and data analysis, we have re-simulated the result of Thursday's Fritz-Rune men's singles match, forming part of our tennis predictions coverage.

Our famous predictive model currently gives Fritz a 66% chance of winning against Rune at the ATP Stockholm Open tournament. Additionally, Fritz has a 63% chance of winning the first set. The simulations also show Fritz (-2.5) has a 53% chance of covering the games spread, while the under 24.5 games has a 56% chance of hitting, according to our model.

Latest betting odds

We have sourced the most up-to-date betting odds in America for this match, which are listed here:

• Moneyline: Holger Rune +184, Taylor Fritz -208
• First Set: Fritz -200, Rune +162

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our predictions against the best current odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

• Moneyline: Rune @ +184 via DraftKings
• First Set: Rune @ -125 via DraftKings

According to our tennis best bets, the top play to make on this match is Holger Rune to win the first set.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & first serve details

The ATP Stockholm Open match between Taylor Fritz and Holger Rune is scheduled to commence on Thursday at 12:30 PM ET.

• Who: Taylor Fritz vs. Holger Rune
• Date: Thursday, November 12, 2026
• Approx. Time: 12:30 PM ET/9:30 AM PT
• Tournament: ATP Stockholm, Sweden Men's Singles 2026
• Round: Quarterfinals

All dates and times mentioned in this article are United States Eastern Time unless otherwise stated.

Conclusion

We predict Taylor Fritz, with a 66% win probability, will likely beat Holger Rune at the ATP Stockholm Open tournament.

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This article's predictions and probabilities are generated by Dimers' proprietary tennis prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.