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Challenger · ELO ESTIMATE · 2026-07-13

Y. Dlimi vs E. Zhu — prediction

Lincoln
DLIMIWIN PROBABILITYZHU
69%
Elo prob.
@1.36
odds · 74% impl.
📈Form 9/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1736 vs 1600 — favorite by rating

Challenger tier · 132 matches in the favorite's track record

Elo estimate (not the ATP factor model): these are softer, less-analyzed markets

WATCH FOR

!Soft market: the value edge in Challenger/ITF is NOT proven live — treat it as an estimate, not an opportunity.

Tour Elo estimate (Challenger/ITF markets, not covered by the factor model). The value edge here is unproven live — it's a reference, not a recommendation. 18+ · gamble responsibly.
@1.46
fair odds
−6.6%
expected value
HOW EACH FACTOR MATTERS
Level (Elo)▸ Dlimi●●●
1736 vs 1600 Elo, a 136-point gap, makes Dlimi the clear model favorite based on rating strength.
Form▸ Dlimi●●
Dlimi is 9-1 in his last 10 (WWWWWWWWLW) versus Zhu's 6-4 (WLWLLWWWLW), showing sharper recent consistency.
Rest/Workload▸ Dlimi●●
Zhu played 5 matches in the last 14 days versus Dlimi's 2, adding cumulative workload despite both having 1 day of rest.
Match Context= Even
Both reached the Lincoln semifinals 1 day ago, so deep-run fatigue applies evenly and cancels out as an edge.
Market Value▸ Zhu●●●
Odds of 1.36 imply 74% win probability, but the model gives only 69%, yielding a -6.6% expected value on Dlimi.
ELO GAP

The core signal in this match is the rating separation: 1736 for Dlimi against 1600 for Zhu, a 136-point gap that is substantial at Challenger level. This underpins the model's 69% favorite probability and reflects a real difference in tour-level performance history, even though the exact ranking and surface data are not available to confirm it further.

FORM AND WORKLOAD

Recent form adds to the favorite's case: Dlimi's 9-1 record over his last 10 matches is notably stronger than Zhu's 6-4 mark over the same span, suggesting better current sharpness and confidence.

Workload tells a complementary story. Both players are on a single day of rest, but Zhu has logged 5 matches in the last 14 days compared to Dlimi's 2. That heavier recent schedule can translate into accumulated physical load, even if it hasn't yet shown up as a losing streak.

FATIGUE CONTEXT

Both players reached the Lincoln semifinals just a day ago, so the deep-run fatigue flag applies symmetrically. This context does not tilt the match in either direction on its own — it's a shared variable, not a differentiator, and should be read as background rather than an edge for either side.

VALUE READ

Being the favorite is not the same as offering value. The model sets Dlimi's win probability at 69%, but the market prices him at an implied 74% (odds of 1.36), producing a -6.6% expected value. That means the market is more confident in Dlimi than the model is, not less — so backing the favorite at this price does not represent an edge by this method's own measure.

This is also an Elo-based estimate in a soft Challenger market, where such edges are unproven live. Even setting aside the negative EV, the absence of surface, serve/return, and head-to-head data means this read leans heavily on rating and form alone. Treat the projection as a reasonable but incomplete picture, not a confirmed opportunity.

Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). Soft-market estimate: the value is unproven live. 18+ · gamble responsibly.

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