ITF · ELO ESTIMATE · 2026-07-23

Y. Takahashi vs T. Boosarawongseprediction

M15 Bali
✗ Missed
TAKAHASHIWIN PROBABILITYBOOSARAWONGSE
66%
Elo prob.
@1.41
odds · 71% impl.
Rest 2d vs 1d📈Form 4/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1577 vs 1463 — favorite by rating

ITF tier · 276 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.
@1.52
fair odds
−7.0%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Takahashi●●●
Elo gap of 114 points (1577 vs 1463) drives the 66% model probability for Takahashi, the clearest edge in this match.
Form▸ Takahashi
Takahashi's 3-7 last-10 record edges Boosarawongse's 2-8; both are on a single-match win streak, so the gap is marginal.
Rest▸ Takahashi
Boosarawongse played just 1 day ago vs Takahashi's 2 days rest, a small fatigue tilt toward the favorite.
Value= Even●●●
Odds of 1.41 imply 71% win probability, above the model's 66%, producing a -7% EV — no backable edge here.
ELO GAP

The 114-point Elo gap (1577 vs 1463) is the dominant signal in this match, translating into a 66% win probability for Takahashi. In a rating system built on hundreds of matches — Takahashi alone carries a 276-match track record — this gap reflects a real, if soft, quality difference at the ITF level.

Neither player has ranking or head-to-head data available, so Elo is effectively the only structural measure of relative strength here. That makes the model's read on level more central than usual, though it should still be treated as an estimate rather than a hard fact given the soft nature of Challenger/ITF markets.

FORM & FATIGUE

Recent form offers only a mild tilt toward the favorite: Takahashi's last-10 log (3 wins) is marginally better than Boosarawongse's (2 wins), and both players are currently riding a single-match winning streak, so neither enters with real momentum.

Rest is a similarly small factor. Boosarawongse played just 1 day before this match versus Takahashi's 2 days, with both logging 2 matches in the last 14 days. This slightly favors the favorite in terms of freshness, but the gap is too narrow to lean on heavily.

SOFT MARKET CONTEXT

This is an ITF-level Elo estimate, not the fuller ATP factor model — the method itself flags this as a softer, less-analyzed market. That means the 66% probability should be read as a reasonable but unproven estimate of Takahashi's edge, not a precise figure.

With no surface, weather, altitude, or serve/return data available, the analysis rests almost entirely on Elo, form, and rest — a narrower evidence base than a full model would normally provide.

VALUE READ

Being the favorite does not mean there is value here. The market prices Takahashi at 1.41, implying a 71% win probability — five points higher than the model's 66% estimate — which produces a negative expected value of -7%.

In practical terms, the market is already more confident in Takahashi than the model justifies. Backing him at this price is not supported by the numbers, and in a soft ITF market like this, any perceived edge should be treated with caution rather than acted on as an 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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