ITF · ELO ESTIMATE · 2026-07-27

S. Shin vs H. Chauhanprediction

M15 Bali 2
✓ Correct
SHINWIN PROBABILITYCHAUHAN
82%
Elo prob.
@1.06
odds · 94% impl.
Rest 3d vs 5d📈Form 6/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1641 vs 1374 — favorite by rating

ITF tier · 223 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.
@1.22
fair odds
−12.8%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Shin●●●
Elo gap of 267 points (1641 vs 1374) drives an 82% model probability for Shin, a clear rating edge.
Form▸ Shin●●
Shin's last 10 show 6 wins vs Chauhan's 1, and Chauhan is mired in a 3-match losing streak.
Rest▸ Chauhan●●
Chauhan enters fresher with 5 days rest and just 1 match in 14 days, versus Shin's heavier 3-in-14 load.
Weather= Even
No weather, surface or altitude data provided, so no mechanism can be tied to conditions here.
Value= Even
Odds of 1.06 imply 94% win probability, well above the model's 82%, producing a -12.8% expected value.
RATING GAP

The core signal in this match is the Elo differential: 1641 for Shin against 1374 for Chauhan, a gap of 267 points that the model converts into an 82% win probability for the favorite. In a soft ITF market like this, that gap is meaningful but not overwhelming — it reflects a real quality difference in results history, not a guaranteed outcome.

Because this is an Elo-based estimate rather than the fuller ATP factor model, the 82% figure should be read as a reasonable but rougher approximation. It captures the overall level gap well, but lacks surface, serve/return, or weather inputs that would normally sharpen the picture.

FORM DIVERGENCE

The recent form split reinforces the rating gap rather than contradicting it. Shin's last 10 matches read LWWWWLLWWL — six wins including a strong middle stretch — even though the current streak is a single loss. Chauhan's last 10 show just one win (LLLLLLWLLL) and an active three-match losing streak, a sign of struggling momentum.

This divergence in trajectory adds a qualitative layer on top of the Elo numbers: Shin is coming off a broadly competitive stretch, while Chauhan is fighting to find any rhythm at all.

SCHEDULE LOAD

Rest works in the opposite direction. Chauhan has had 5 days off and only 1 match in the last 14 days, giving him a fresher body entering this contest. Shin, by contrast, has just 3 days of rest and 3 matches in the same 14-day window, a considerably heavier workload.

Compounding this, Shin reached the quarterfinals at this same M15 Bali event only 3 days ago — a deep run that can leave legs and focus taxed even against a lower-rated opponent. This is a real, if modest, drag on the favorite's edge.

VALUE READ

Being the favorite here is not the same as being a value bet. The model sets Shin's win probability at 82%, but the market, via odds of 1.06, implies roughly 94% — a 12-point gap that produces a negative expected value of -12.8%. In plain terms, the price is asking bettors to pay for more certainty than the model supports.

Given that this is a Challenger/ITF Elo estimate — a softer, less-scrutinized market where edge is unproven — the honest read is that Shin is the likely winner, but this specific line offers no demonstrated value. The rest disadvantage and deep-run fatigue are real considerations that make the market's near-certainty look, if anything, a bit optimistic.

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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