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Challenger · ELO ESTIMATE · 2026-07-12

D. Glinka vs G. Johns — prediction

Granby
Result pending
GLINKAWIN PROBABILITYJOHNS
61%
Elo prob.
@1.50
odds · 67% impl.
Rest 4d vs 3d🎾Serve 62%📈Form 3/10 · 2✗
WHAT THE ESTIMATE IS BASED ON

Tour Elo: 1730 vs 1652 — favorite by rating

Challenger tier · 313 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.
@1.64
fair odds
−8.5%
expected value
HOW EACH FACTOR MATTERS
Level (Elo/ranking)▸ Glinka●●●
Glinka holds a 78-point Elo edge (1730 vs 1652), built on a deep 313-match track record, the clearest edge in the match.
Serve/return▸ Johns●●
Serves are near-equal (62% vs 61%), but Johns returns at 37% vs Glinka's 30% — a 7-point return edge creating more break chances for Johns.
Form▸ Johns
Johns is 4-6 in his last 10 with a 1-match skid; Glinka is 3-7 with a 2-match skid, giving Johns a marginal recent-form edge.
Rest▸ Glinka
Glinka has 4 days rest vs Johns' 3, and fewer matches in 14 days (3 vs 4), leaving him marginally fresher.
ELO GAP

Glinka carries a 78-point Elo advantage (1730 vs 1652), the largest single edge identified in this matchup and the main reason he is priced as favorite. The rating draws on a substantial sample — 313 tracked matches for Glinka — which adds some stability, though Challenger-level Elo remains a softer, less-scrutinized signal than tour-level models.

SERVE VS RETURN

On serve, the two players are almost indistinguishable: Glinka wins 62% of service points against Johns' 61%, a one-point gap that hands Glinka no meaningful advantage there. The separator is return quality — Johns wins 37% of return points versus Glinka's 30%, a 7-point gap. That makes Johns comparatively the more dangerous returner, a mechanism that can generate break opportunities and partially offset Glinka's rating edge in tight sets.

FORM & SCHEDULE

Neither player is in strong form, but Johns is marginally sharper: 4-6 over his last 10 with a one-match losing streak, compared to Glinka's 3-7 with a two-match skid. Rest tilts slightly the other way — Glinka has had 4 days off against Johns' 3, and has played one fewer match in the last two weeks (3 vs 4), leaving him a touch fresher heading into this one.

VALUE READ

The model gives Glinka a 61% win probability, notably below the market's implied 67% at odds of 1.50, producing a -8.5% expected value. That means the market is pricing Glinka more confidently than the model does, so backing him here does not constitute value by this method. Since Challenger-level Elo is a soft, unproven signal relative to the market, this should be read as a modest model-market disagreement rather than an exploitable edge — favorite status here reflects raw rating, not a favorable 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.

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