ITF · ELO ESTIMATE · 2026-07-22

B. Ellis vs D. Markovinaprediction

M15 Brisbane
✗ Missed
ELLISWIN PROBABILITYMARKOVINA
74%
Elo prob.
@1.28
odds · 78% impl.
Rest 1d vs 7d🎾Serve 61%📈Form 4/10
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1666 vs 1483 — favorite by rating

ITF tier · 246 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.
@1.35
fair odds
−5.1%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Ellis●●●
Elo gap (1666 vs 1483) gives Ellis a 74% model win probability, well above Markovina's 26%, reflecting a clear rating edge.
Serve/return▸ Ellis●●
Ellis wins 61% of service points and 35% on return, showing a genuinely strong serve-driven game; no comparable numbers exist for Markovina.
Rest▸ Markovina●●
Ellis has played 3 matches in 14 days with only 1 day of rest, while Markovina had 7 days off and just 1 match — fatigue risk for the favorite.
Form▸ Markovina
Markovina's last 10 (5-5) is marginally better than Ellis's (4-6), though neither streak shows sustained momentum.
RATING AND SERVE EDGE

The core case for Ellis rests on a substantial Elo gap — 1666 versus 1483 — which translates into a 74% model probability of victory. This is reinforced by his serve numbers: winning 61% of service points is a strong figure for this level, and even his 35% return win rate suggests he can generate pressure on the returning games.

No serve or return data exists for Markovina, so a direct stroke-by-stroke comparison isn't possible, but the gap in Elo alone signals Ellis is the more complete and higher-performing player in this specific matchup, at least on paper.

SCHEDULE FATIGUE RISK

The most concrete red flag for Ellis is workload: he arrives with only 1 day of rest and has played 3 matches in the last 14 days, compared to Markovina's 7 days off and a single match in that span. Over best-of-three ITF matches this kind of congestion can blunt movement and shot quality late in a match, even for a technically superior player.

This doesn't override the rating advantage, but it tempers confidence in a comfortable straight-sets outcome — physical freshness favors Markovina here, a rare edge for the underdog.

MIXED RECENT FORM

Neither player is in commanding form. Ellis's last 10 reads 4-6 (LWLLWLLWLW), while Markovina's is a marginally better 5-5 (WWLWLLWLLW). Both are on a 1-match winning streak, so momentum is roughly a wash, with a slight lean toward Markovina based on the raw win/loss split.

This factor carries low weight since the sample includes no quality-win context for either player, but it does nothing to reinforce the favorite's case beyond what Elo already suggests.

VALUE READ

Priced at 1.25, the odds imply an 80% win probability for Ellis, while the Elo-based model puts him at 74% — a 6-point gap that produces a negative expected value of -7.3%. In practical terms, the market is pricing Ellis as slightly safer than the model's own estimate, so backing him at this price does not represent a mathematical edge.

This is an ITF-level Elo estimate, a softer market where any edge is inherently unproven, and here the signal points the other way: Ellis is a legitimate favorite by rating and serve quality, but not a value bet at 1.25. The rest disparity adds a further practical caution beyond the numbers.

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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