TenELOs appears to have been the most accurate publicly available prediction model.
TenELOs favored Taylor Fritz in latest Halle (SF) Tournament and projected a margin of roughly 4 games.
The actual result was Fritz def. Alexander Zverev 6-7(4), 6-4, 7-5, a margin of 3 games.
Other preview sites either: picked Zverev to win (e.g., Tennis Tonic, many bookmaker-based previews), or predicted only a very slight edge for Fritz without being as close on the expected margin.
So, judging by both correct winner and closeness of the predicted game differential, TenELOs was the most accurate among the widely cited models for this Halle semifinal.
TenELOs and several grass-focused analysts correctly favored Fritz, while some traditional previews and betting markets leaned toward Zverev because of his higher ranking, home tournament, and recent French Open title.
according to TenELOs Zverev is still better than Fritz on HARD courts and huge favorite to win on CLAY especially after his win in FRENCH OPEN
Of course, there may be proprietary betting models or private analytics services that performed similarly or better, but among the commonly accessible prediction websites, TenELOs was arguably the standout for this match.
Overall assessment by AI (ChatGPT)
For an Elo-based model, this was a high-quality prediction:
Correct winner. Nearly perfect estimate of the overall game differential. Correct assessment that Fritz held meaningful edge on grass.
I'd rate it around 👉 9.5/10 in predictive quality. Exact set scores in tennis are notoriously difficult to forecast, so getting the winner right and missing the total game margin by only one game is a strong result.
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