R. Collignon vs D. Altmaier — prediction
›Ranking: #42 vs #60 (better ranked)
›Recent form: 6/10 in recent matches
›Match-sharp: 5 matches in the last 2 weeks
›Model 56% vs market 63% → the model sees it as less likely than the odds
!Played a long match (3 sets) very recently — possible fatigue
The clearest structural edge belongs to Collignon: his Elo of 2021 sits well above Altmaier's 1864, and the ranking gap (#42 vs #60) points the same way. The baseline model reflects this, giving him 51% against Altmaier's 42% before any contextual adjustments.
This is a real quality gap, not a marginal one, and it forms the backbone of why Collignon is priced as favorite. But it is a baseline, not a guarantee — the surrounding factors (rest, recent workload) cut against it.
Collignon arrives on the back of a heavy stretch: 5 matches in the last 14 days, only 2 days since his last outing, and that last outing was a final at Gstaad. Altmaier, by contrast, has had 6 days to recover and played just 2 matches in the same window.
This asymmetry is the main risk to Collignon's favorite status. Deep tournament runs followed by minimal rest often show up as slower foot speed and shorter concentration in the next match, and here the workload imbalance is stark enough to matter.
The serve/return numbers are close: Collignon serves at 67% to Altmaier's 65%, while Altmaier returns slightly better (34% vs 32%). Neither player holds a decisive edge in this specific matchup of styles.
The 760m altitude in Kitzbühel thins the air and speeds up the ball, which mechanically helps the better server. That marginally favors Collignon given his 67% serve number, though the gap over Altmaier's 65% is not large enough to be decisive on its own.
Recent form is close to a wash: Collignon is 6-4 in his last 10, Altmaier 5-5, both currently on a one-match losing streak. Neither has clear recent momentum.
Quality wins slightly favor Altmaier in prestige terms — a win over Medvedev (Elo 2048) outranks anything on Collignon's list, whose best win came against Vacherot (1990). This does not overturn the Elo gap, but it tempers the idea that Collignon is in clearly better form.
The model rates Collignon a 56% favorite, but the market is pricing him at an implied 63% (odds 1.58). That gap produces a -11.7% expected value on the favorite — the market is more convinced than the model, largely because of the ranking and Elo gap, while the model is also weighing Collignon's heavy recent workload and short rest.
Being the favorite here is not the same as being a value bet. On these numbers, backing Collignon at this price is a bet against the model's own read of the situation. There is no edge to report on the favorite, and the data does not support treating this as a value opportunity in either direction.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). The model ≈ the market on average; the odds already capture almost all the edge. 18+ · gamble responsibly.