ITF · ELO ESTIMATE · 2026-07-08

K. Tyagi vs C. Duhanprediction

M15 Hillcrest 2
✓ Correct
TYAGIWIN PROBABILITYDUHAN
70%
Elo prob.
@1.59
odds · 63% impl.
Rest 6d vs 8d📈Form 6/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1556 vs 1413 — favorite by rating

ITF tier · 27 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.
@1.44
fair odds
+10.5%
expected value
HOW EACH FACTOR MATTERS
Level (Elo)▸ Tyagi●●●
Tyagi's 1556 Elo vs Duhan's 1413 is a 143-point gap, the model's main basis for a 70% win probability.
Form▸ Tyagi●●
Tyagi's last 10 shows 6 wins (LWWWLWLWLW) vs Duhan's 3 wins (LLWLWLLLLW), signaling better recent match sharpness.
Rest= Even
Duhan has 8 days rest vs Tyagi's 6, but Tyagi's 2 matches in 14 days gives him more recent competitive rhythm.
Market value▸ Tyagi●●
Model gives Tyagi 70% vs market's 63% implied by 1.59 odds, a 10.5% EV edge, though this Elo-based estimate is unproven live.
Tier/market depth= Even
ITF M15 markets are thin and less efficiently priced, so the edge shown here carries more uncertainty than a tour-level number.
ELO GAP

The core signal in this match is the 143-point Elo gap: 1556 for Tyagi against 1413 for Duhan. At the Challenger/ITF level this kind of spread typically reflects a real difference in week-to-week consistency and points won, and it's the main driver behind the model's 70% favorite probability.

With no surface, serve/return, or head-to-head data available, this rating gap is doing most of the analytical work here — it's a broad quality signal rather than a match-up-specific one.

FORM AND MOMENTUM

Recent form supports the Elo read: Tyagi has won 6 of his last 10 (LWWWLWLWLW), while Duhan has managed just 3 wins in his last 10 (LLWLWLLLLW). Both are currently on a 1-match win streak, so neither enters with negative momentum, but Tyagi's baseline level over the sample is clearly higher.

Match load adds a small nuance: Tyagi has played 2 matches in the last 14 days versus Duhan's 1, giving him marginally more recent rhythm, while Duhan's extra rest (8 days vs 6) could offset any fatigue. Neither factor is strong enough to shift the picture on its own.

HONEST VALUE READ

At odds of 1.59, the market implies a 63% win probability for Tyagi. The model's Elo-based estimate puts him at 70%, producing a nominal 10.5% expected-value edge. That gap is worth noting but should not be read as a guaranteed opportunity.

This estimate comes from a soft Challenger/ITF market with thinner liquidity and less scrutiny than tour-level markets, so any edge here is unproven in practice. Being the favorite is not the same as being undervalued — treat this as a moderate lean toward Tyagi's superior level and form, not a confirmed mispricing.

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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