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Challenger · ELO ESTIMATE · 2026-07-12

P. Marinkov vs R. Karki — prediction

Lincoln
✓ Correct
MARINKOVWIN PROBABILITYKARKI
56%
Elo prob.
@1.61
odds · 62% impl.
Rest 26d vs 14d📈Form 3/10 · 2✗
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1540 vs 1502 — favorite by rating

Challenger tier · 128 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.
@1.80
fair odds
−10.6%
expected value
HOW EACH FACTOR MATTERS
Level (Elo)▸ Marinkov●●
Marinkov's 1540 Elo sits 38 points above Karki's 1502, a modest but real rating edge in a soft Challenger market.
Form▸ Karki●●
Karki has won 5 of his last 10 matches vs Marinkov's 3 of 10, showing better recent output despite both losing streaks.
Rest= Even
Marinkov arrives fresher (0 matches in 14 days) but off a 26-day layoff; Karki played 14 days ago, giving him sharper match rhythm.
Value▸ Karki●●●
Model gives Marinkov 56% but the market prices him at 62% (odds 1.61), producing a -10.6% expected value on the favorite.
ELO GAP

Marinkov's 1540 rating is 38 points clear of Karki's 1502, which under Elo translates to a 56% win probability. This is a real but not decisive edge — in Challenger tennis, a 38-point gap reflects a moderate quality difference rather than a dominant one.

Because this is an Elo-only estimate on a thin Challenger dataset, the gap should be read as a soft signal. It says Marinkov is the better-rated player, not that he is clearly the better player on the day.

MOMENTUM SPLIT

The recent form picture cuts against the rating edge. Karki has won 5 of his last 10 matches compared to Marinkov's 3 of 10, meaning he has actually been finishing matches more often over that stretch.

Both players are currently on losing streaks (Marinkov -2, Karki -3), so neither arrives in strong touch, but Karki's higher overall win rate in the sample slightly offsets Marinkov's Elo advantage.

REST PROFILE

Marinkov has not played in 26 days and had zero matches in the last 14, meaning he is fully rested but also without recent competitive rhythm. Karki, by contrast, played as recently as 14 days ago and logged one match in that window, giving him more recent match sharpness.

Neither situation is extreme — no fatigue red flag for either side — but the contrast between total rest and recent play creates a wash rather than a clear edge for either player.

VALUE READ

The model sets Marinkov's win probability at 56%, but the market (via the 1.61 odds) implies 62% — a gap that produces a -10.6% expected value on backing the favorite. Even though Marinkov is favored, the price is asking for more certainty than the model supports.

This is an Elo-based Challenger estimate, a soft market where edges are unproven, and the current numbers point to no value on the favorite at this price. Being the favorite here is not the same as being a good bet, and the data does not support treating this line 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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