Challenger · ELO ESTIMATE · 2026-07-19

A. Matusevich vs N. Djosicprediction

Zug
✓ Correct
MATUSEVICHWIN PROBABILITYDJOSIC
83%
Elo prob.
@1.12
odds · 89% impl.
Rest 9d vs 12d🎾Serve 59%📈Form 4/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1730 vs 1459 — favorite by rating

Challenger tier · 252 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.
@1.21
fair odds
−7.5%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Matusevich●●●
Elo gap of 271 points (1730 vs 1459) translates to an 83% model win probability for Matusevich, a clear class edge.
Serve/return▸ Matusevich●●
Matusevich holds serve at 59% and wins 33% of return points, a strong two-way profile; no comparable numbers exist for Djosic.
Form▸ Matusevich
Matusevich's last 10 (LLWWLLLWWL) includes a win over 1917-Elo Kwon; Djosic's WLWLLWWWLL has no listed quality wins and a longer current 2-match losing streak.
Rest▸ Djosic
Djosic has 12 days since his last match and only 1 in the past 14, versus Matusevich's 3 matches in 14 days — fresher legs for the opponent.
Value/EV▸ Djosic●●
At 1.12 odds the market implies 89% for Matusevich, above the model's 83%, yielding a -7.5% EV — no edge, slight overpricing of the favorite.
CLASS GAP

The 271-point Elo gap (1730 vs 1459) is the dominant signal here, putting Matusevich at an 83% win probability. In Challenger tennis this kind of separation usually reflects a meaningful difference in shot quality and consistency, and it's the single largest factor shaping this match.

Matusevich's own serve and return numbers reinforce that gap: a 59% hold rate paired with 33% of return points won is a well-rounded profile that should let him control service games and generate break chances, though we lack Djosic's equivalent figures to quantify the return battle precisely.

FORM AND FATIGUE

Neither player is in sharp form — Matusevich is 4-6 in his last 10 with a current 1-match losing streak, while Djosic is 5-5 but riding a longer 2-match skid. Matusevich's win over the higher-rated Kwon (1917 Elo) is the one standout result on either side, giving him a slight quality edge despite the mixed recent record.

Rest cuts the other way: Djosic has had 12 days off with just one match in the last two weeks, while Matusevich has played three times in that span on 9 days' rest. Over best-of-three that workload difference is unlikely to be decisive, but it's a small mitigating factor for the underdog.

VALUE READ

The model favors Matusevich at 83%, but the market prices him even higher at an implied 89% (odds of 1.12), producing a -7.5% expected value. That means backing the favorite here is a mathematically unattractive bet even though he is clearly the stronger player on paper.

This is an Elo-based estimate in a Challenger market that is thinner and less efficiently priced than the tour level, so treat the edge as unproven rather than actionable. Being favored is not the same as offering value, and on these numbers there is none for either side at the current price.

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 →