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Altmaier vs Gojo Prediction: Grand Prix Auvergne-Rhone-Alpes 2026

Gojo's stronger hard-court hold and break rates support a narrow pick, but Altmaier's previous wins keep the matchup from looking decisive.

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Borna Gojo's hard-court serve and return advantage makes him the narrow pick against Daniel Altmaier in the Grand Prix Auvergne-Rhone-Alpes round of 16. Court Shark's model gives Gojo a 51% chance, not a decisive edge.

Gojo brings the stronger recent record to Lyon

Gojo's recent record stood at 7-3, compared with four wins in Altmaier's last ten matches. That contrast supports Borna Gojo against Daniel Altmaier, particularly because his stronger results accompanied better hard-court serving and returning figures. The distinction matters here.

A quarterfinal place at the Grand Prix Auvergne-Rhone-Alpes is available on Thursday, October 22, with Gojo arriving on a three match winning run. His recent results offer support for the surface comparison, rather than leaving the case dependent on a longer window alone. For Altmaier, this round offers a chance to follow his opening win with another victory after a less consistent stretch.

Ways to win

Article snapshot, Oct 22, 2026 · Not live

Every way the match can finish. The likeliest single result is Borna Gojo in straight sets (31%).

Chance of each final set score
ResultChance
Borna Gojo wins 2-031%
Borna Gojo wins 2-120%
Daniel Altmaier wins 2-120%
Daniel Altmaier wins 2-029%
Source: Court Shark model and match data.

Gojo's serve advantage is the clearest difference

Gojo held 87% of his service games on hard courts in the surface window, compared with Altmaier's 72%. The serving gap is substantial. It suggests Gojo is better placed to protect a break, while Altmaier may need more help from his return to keep sets level. Those rates came from separate schedules, however, and are not measurements of how either player served against this particular opponent.

The return comparison also favored Gojo: he broke in 22% of return games, against Altmaier's 14%. Yet Gojo's return rate remained just below the tour average, so the evidence points more strongly to reliable serving than to exceptional returning.

The window covered 52 weeks. Gojo's sample contained 43 matches. Altmaier's sample covered 22 matches, giving his figures a narrower base than Gojo's. The practical test is whether Gojo can pressure Altmaier's serve often enough to secure a break before a set reaches a tiebreak.

Altmaier has already beaten Gojo on hard courts

Altmaier won both previous meetings, including their hard-court match at Launceston in 2020. That history pushes against the surface averages, but the hard-court evidence consists of a single meeting several years ago. It cannot establish a current matchup advantage. His later win came on grass at Halle, so it offers less direct guidance for the conditions in Lyon.

A deciding set offers another concrete route for Altmaier: he won 93 of 161 career deciders. Gojo won 82 of 154, leaving Altmaier with the stronger career record in that situation. That favors Altmaier if the match goes the distance. If Altmaier protects serve better than his recent surface record suggests and extends the contest, Gojo's advantage across routine service and return games may matter less.

Head-to-head by surface

Article snapshot, Oct 22, 2026 · Not live

Borna Gojo and Daniel Altmaier have met 2 times. Daniel Altmaier leads 2-0.

Head-to-head record, Borna Gojo first
SurfaceBorna GojoDaniel Altmaier
All surfaces02
Hard01
Grass01
Source: Court Shark model and match data.

The prediction

Court Shark's model narrowly favors Gojo with a 51% win probability, while the market consensus gives him 52%. Neither forecast makes him a clear favorite. The serve and return comparison supports the direction of the pick, but the forecast leaves substantial room for Altmaier to win despite those weaker surface figures.

Court Shark's AI analyst, which reads the matchup without the market, also picks Gojo, agreeing with the model. His stronger service protection and more frequent breaks provide a concrete tennis case for that choice, without making the head-to-head irrelevant. Court Shark's match-length forecast has a median of 23 total games, rather than an exact total to expect.

The middle half of forecast outcomes runs from 20 to 30 games, allowing for both a shorter result and a match that requires a deciding set. Altmaier's ability to avoid repeated pressure on serve is the clearest test of whether the surface gap carries into this meeting.

How long it could go

Article snapshot, Oct 22, 2026 · Not live

A 53% chance the match lasts 20 to 30 games; 23 is the middle of the range.

Chance of each total number of games in the match
Total gamesChance
140.4%
151.2%
162.2%
174.8%
185.8%
197.9%
207.7%
215.1%
229.4%
237.9%
240.8%
253.4%
265.8%
272.4%
283.1%
293.4%
303.6%
314.8%
325.2%
333.3%
342.4%
354.0%
362.9%
370.3%
380.9%
391.2%
Source: Court Shark model and match data.

Explore this matchup

Compare both players side by side: recent results, surfaces, serve and return.

Player comparison

Article snapshot, Oct 22, 2026 · Not live

Each measure on the same scale: recent wins, wins on this surface, head-to-head wins and the model's chance.

Player comparison
MeasureBorna GojoDaniel Altmaier
Wins, last 10 matches70% (7-3)40% (4-6)
Wins, last 10 on hard70% (7-3)40% (4-6)
Head-to-head wins0% (0-2)100% (2-0)
Model win probability51%49%
Source: Court Shark model and match data.

Recent form

Article snapshot, Oct 22, 2026 · Not live

Each player's most recent completed matches, up to 10, oldest on the left.

Recent results by player, oldest first
PlayerDateResultOpponentScoreEvent
Borna GojoSep 17, 2026WMatteo Martineau6-4 6-4Rennes CH
Borna GojoSep 18, 2026LTitouan Droguet2-6 6-3 3-6Rennes CH
Borna GojoSep 22, 2026WVadym Ursu7-5 6-3Saint-Tropez CH
Borna GojoSep 23, 2026LTitouan Droguet6-3 3-6 4-6Saint-Tropez CH
Borna GojoOct 5, 2026WMaxi Carrascosa Diaz6-2 6-2Villena CH
Borna GojoOct 8, 2026WPhilip Henning7-6(4) 7-6(0)Villena CH
Borna GojoOct 9, 2026LJack Pinnington Jones2-6 5-7Villena CH
Borna GojoOct 18, 2026WFrancesco Maestrelli4-6 6-3 7-6(6)ATP Lyon
Borna GojoOct 19, 2026WVitaliy Sachko6-3 7-6(4)ATP Lyon
Borna GojoOct 20, 2026WArthur Fery6-3 7-6(2)ATP Lyon
Daniel AltmaierAug 14, 2026WColeman Wong3-6 6-3 6-4Cincinnati Masters
Daniel AltmaierAug 16, 2026LLorenzo Musetti4-6 2-6Cincinnati Masters
Daniel AltmaierAug 25, 2026WFrancisco Comesana6-1 7-6(6)Winston-Salem
Daniel AltmaierAug 26, 2026LIgnacio Buse6-7(5) 5-7Winston-Salem
Daniel AltmaierSep 2, 2026LZachary Svajda3-6 1-6 7-6(5) 2-6US Open
Daniel AltmaierSep 19, 2026LDino Prizmic4-6 3-6Davis Cup QLS R2: GER vs CRO
Daniel AltmaierSep 29, 2026LJie Cui4-6 1-6Beijing
Daniel AltmaierOct 7, 2026WHolger Rune1-6 7-6(5) 6-4Shanghai Masters
Daniel AltmaierOct 9, 2026LBen Shelton3-6 6-7(6)Shanghai Masters
Daniel AltmaierOct 20, 2026WTitouan Droguet5-7 7-6(4) 7-6(3)ATP Lyon
Source: Court Shark model and match data.

Win rate by surface

Article snapshot, Oct 22, 2026 · Not live

Share of matches won on each surface across each player's last 50 matches with full statistics.

Win rate by surface
SurfaceBorna GojoDaniel Altmaier
Hard69% (34-15)24% (4-13)
ClayToo few matches (1)52% (13-12)
GrassNo matches50% (4-4)
Source: Court Shark model and match data.

Serve and return on hard courts

Article snapshot, Oct 22, 2026 · Not live

How often each player held serve and broke serve on hard over their last 50 matches with full statistics, against the tour's all-years average on the surface.

Hold and break rates on hard
MeasureBorna GojoDaniel AltmaierTour average, all years
Service games held87%68%77%
Return games broken22%11%23%
Matches in sample4917
Source: Court Shark model and match data.

Model and market on Borna Gojo

Article snapshot, Oct 22, 2026 · Not live

Borna Gojo's chance as the market consensus priced it from the opening line, next to the Court Shark model.

Borna Gojo's chance to win
ReadingBorna GojoDaniel Altmaier
Opening consensus51%49%
Latest consensus52%48%
Court Shark model51%49%
Source: Court Shark model and pre-match market consensus.

Model win probability

Article snapshot, Oct 22, 2026 · Not live

The Court Shark model's chance for each player to win this match.

Model win probability by player
PlayerWin probabilityRecent form (last 10)
Borna Gojo51%7-3
Daniel Altmaier49%4-6
Source: Court Shark model and match data.

Two years of form

Article snapshot, Oct 22, 2026 · Not live

Each player's pre-match Elo rating since Oct 23, 2024. Latest: Daniel Altmaier 1846 (Oct 9, 2026), Borna Gojo 1782 (Oct 18, 2026).

Pre-match Elo rating over the last two years
PlayerStart of windowTwo-year peakLatest
Borna Gojo1779 (Oct 23, 2024)1845 (May 4, 2025)1782 (Oct 18, 2026)
Daniel Altmaier1765 (Oct 23, 2024)1884 (Jun 1, 2025)1846 (Oct 9, 2026)
Source: Court Shark model and match data.
Explore this matchup

Court Shark win probabilities are statistical estimates, not advice. No outcome is guaranteed.

Methodology and sources

How we build model estimates and where our information comes from.

Model estimates and observed results

The win probabilities come from the Court Shark match model, trained on completed ATP and WTA matches. A probability says how often a player in this position wins, not that one result will happen. The model's number for a match is recorded before play and never changed afterwards, so it can be checked against the result.

Sources and citations

Results, scores, rankings and serve statistics come from the Court Shark match database. The market consensus is the pre-match price for each player converted to a probability. Figures in this article are a snapshot taken when it was written.

Limitations

Serve and return rates count only matches with full serve statistics, which are sparser for Challenger and lower-level events, and the tour average they are compared with covers every year on record. Head-to-head records count every meeting with a recorded winner, walkovers and retirements included. Charts and tables are a snapshot and do not update after publication.

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