Arthur Fery vs Alexander Zverev Prediction, Pick, Odds for Wimbledon Semifinals

This Wimbledon semifinal is filled with great storylines.

After winning his first career Grand Slam, Alexander Zverev has reached yet another major semifinal with the best possible draw. Meanwhile, Arthur Fery is a hometown hero who's had the best two weeks of his career, rising from a wild card entry to a potential Grand Slam final.

Find my Wimbledon preview and Fery vs Zverev prediction for Friday below.

Arthur Fery vs Alexander Zverev Player Prediction

• Fery vs Zverev Pick: Under 35.5

My Fery vs Zverev best bet is on the under. Make sure to find the best odds by checking our live Wimbledon odds page.

Fery vs Zverev Odds

Fery vs Zverev Predictions, Betting Analysis

By: Chris Gimino

As I mentioned in the opening, this was the best possible draw for Zverev. That's not to discount Fery, but he earned entry to this tournament via a wild card and he hadn't made it past the second round in a Grand Slam before this event.

With that in mind, I'm expecting somewhat of a quick match, meaning I'm targeting the under in this spot.

My tennis model is specifically targeting this play, with a grade of a B+ and a 5.8% edge.

By the way, here's what I'm trying to accomplish with my tennis model:

For every match, three independent signals get blended into a final probability.

First, a walk-forward Elo rating for each player (separate for overall and by surface, regressed hard toward a below-average baseline for anyone with a thin sample or a history of playing qualifiers, so a hot streak against weak competition can’t fake elite form).

Second, a point-by-point Monte Carlo simulation built from each player’s real serve/return stats, which gets pulled toward what Elo says whenever the two disagree — Elo acts as a strong check on the simulation, not the other way around.

Third, the devigged market consensus price itself, blended in at the end as a sanity anchor. The result is a single win probability per match that reflects skill history, current form, and what the market already believes, not any one of those alone.

From there, the same win probability gets used to grade three markets — Moneyline, Spread, and Total Games — by comparing what the model thinks against what the market is actually offering.

The size of that gap, scaled consistently across all three markets on one shared scale, is the “edge” you see, and the letter grade is just that edge bucketed for a quick read.

Sample size matters throughout: thin data — a new player, an early-season surface, a small odds sample — gets a real statistical haircut rather than being trusted at face value, which is why some big-looking numbers still grade low.

And for this particular matchup, here's a full statistically breakdown of how I came to this current edge:

I'm not showing any value on the spread — and obviously not on the moneyline — but I'm expecting a quicker three- or four-set match. Back the under.

Pick: Under 35.5