Challenger · ELO ESTIMATE · 2026-07-08

Y. Wu vs S. Kozlovprediction

Newport
✗ Missed
WUWIN PROBABILITYKOZLOV
69%
Elo prob.
@1.25
odds · 80% impl.
H2H 1–0 WuRest 9d vs 1d🎾Serve 64%📈Form 4/10 · 3✗
CONDITIONS OF THE MATCHin the modelcontext
Temperature
26°C

Warm: the ball flies a little more and fitness counts.

Humidity
56%

Humid air: the ball loses some speed.

Wind
12 km/h

Light wind: no noticeable effect.

Context we publish for you: these conditions do NOT move the model probability.

WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1871 vs 1736 — favorite by rating

Challenger tier · 153 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
−14.4%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Wu●●●
Elo gap of 135 points (1871 vs 1736) makes Wu the rating favorite in this Challenger matchup.
Form▸ Kozlov●●
Kozlov is 7-3 in his last 10 with a 2-match win streak; Wu is 5-5 and has lost 3 straight.
Rest▸ Wu●●
Wu has 9 days off vs Kozlov's 1, and Kozlov has played twice in 14 days — a fatigue edge for Wu.
Head-to-head▸ Wu
Wu won their only previous meeting in 2023, though a single match is a thin sample.
Serve/return▸ Wu
Wu wins 64% of serve points, a solid number, but no comparable serve/return data exists for Kozlov.
Value= Even●●●
Market implies 79% for Wu vs the model's 69%, producing a -13.7% EV — no edge at these odds.
ELO AND LEVEL

Wu's Elo rating of 1871 sits 135 points above Kozlov's 1736, which is a meaningful gap at Challenger level and explains why the model leans toward Wu before anything else is considered. This is a rating-based edge, not a stylistic one — there's no surface, altitude, or matchup-specific data to layer on top of it here.

Still, Elo at this tier is built on a thinner, less liquid market than ATP-level modeling, so the gap should be read as directional rather than precise.

MOMENTUM SPLIT

Recent form cuts against the rating gap. Kozlov is 7-3 over his last 10 matches and riding a 2-match winning streak, while Wu is 5-5 with 3 consecutive losses. That divergence doesn't erase Wu's Elo advantage, but it tempers confidence in him as a form pick — he's the statistically stronger player who is currently playing worse tennis.

This tension between long-term rating and short-term form is one of the more important context flags in this match.

REST AND SCHEDULE

Wu enters with 9 days of rest and just 1 match in the last two weeks, while Kozlov played as recently as yesterday and has logged 2 matches in the same window. Over best-of-three or longer formats, a heavier recent workload and shorter turnaround can compound physically, which gives Wu a tangible scheduling advantage independent of form or rating.

This factor partially offsets the momentum edge Kozlov holds, since freshness matters most late in matches.

SERVE AND HISTORY

Wu wins 64% of his service points, a strong number for this level, though no equivalent serve or return figure is available for Kozlov, so a direct comparison isn't possible from the data. Their single prior meeting also went to Wu (2023), but with only one match on record, it carries limited predictive weight beyond a small psychological data point.

Neither factor should be treated as decisive on its own.

VALUE READ

The model gives Wu a 69% chance to win, while the market prices him at 79% implied probability (odds of 1.26). That gap produces a -13.7% expected value, meaning the market is more confident in Wu than the model is — the opposite of a value scenario.

Wu is the favorite on rating, rest, and Elo, but that doesn't translate to a betting opportunity here. Even setting aside that Challenger Elo is a soft, less-tested market, the math on these odds is negative. This is a case where being the favorite and having value are clearly not the same thing.

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.

Analyze today's matches →