Volf Dzh. πΊπΈ - Fearnley J
About the athletes
Our model prediction (Glicko-2)
2 Fearnley J β 58%
Pure model vs market (2 Β· Fearnley J): model 41% Β· market 60% Ξ β19 pp model estimates below the market
Model estimate: win Volf Dzh. πΊπΈ 42.2%, win Fearnley J 57.8%. Model favourite β Fearnley J.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Volf Dzh
- • πΊπΈ β Firnli Dzh
- • π¬π§ (tennis)
- • Volf Dzh
- • πΊπΈ: forma VVP (2-1)
- • Firnli Dzh
- • π¬π§: forma VVVVV (5-0)
- • Model backs Volf Dzh
- • πΊπΈ: probability 53% vs 75% on the line (odds 1.34)
- • no edge over the line (-22 pp) β informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Volf Dzh. πΊπΈ - Fearnley J July 27, 2026
Tennis math modelThe summary is built from our prematch context: line, form, lineups and Glicko.
- Win odds (Fonbet): 1 2.30 / 2 1.55
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin β for reference, not a betting recommendation.Odds source: Fonbet. This is the fair probability after removing the bookmaker margin from the odds β reference information, not a prediction or a betting recommendation.
For reference
Line movement
How the odds changed from opening to the current line β for reference, not a betting recommendation.β odds shortened (money on this outcome), β drifted (line weakened). For reference, not a betting recommendation.
Head-to-head and form stats
Head-to-head and form
Team form
no data
Head-to-head and recent form per sports statistics β for reference.
Volf Dzh. πΊπΈ - Fearnley J
V baze uchteny nedavnie matchi oboikh uchastnikov.
Tennis math model. Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Best value: no value found
Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.
Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.
Handicap
| Outcome | Betcity | Fonbet |
|---|---|---|
| — | 2.10 47.6% | |
| 1.85 54.1% | 1.90 52.6% | |
| — | 1.70 58.8% | |
| — | 1.65 60.6% | |
| — | 1.80 55.6% | |
| — | 2.02 49.5% | |
| 1.85 54.1% | — |
Total
| Outcome | Betcity | Fonbet |
|---|---|---|
| Over 20.5 | — | 1.65 60.6% |
| Over 21.5 | — | 1.80 55.6% |
| Over 22.5 | 1.92 52.1% | 2.05 48.8% |
| Over 23.5 | — | 2.20 45.5% |
| Under 20.5 | — | 2.10 47.6% |
| Under 21.5 | — | 1.90 52.6% |
| Under 22.5 | 1.78 56.2% | 1.68 59.5% |
| Under 23.5 | — | 1.60 62.5% |
Outcome (1X2)
| Outcome | Betcity | Fonbet | Leon |
|---|---|---|---|
| 2.30 43.5% | 2.30 43.5% | 2.26 44.3% | |
| 1.55 64.5% | 1.55 64.5% | 1.57 63.7% |
Volf Dzh. πΊπΈ
Vong Ch. (Gkg)
Smit K. πΊπΈ
Dzhonson S. πΊπΈ
Bertola R. π¨π
Galarno A. π¨π¦
Blanch Dar. πΊπΈ
Kozlov S. πΊπΈ
Full head-to-head historyVolf Dzh. πΊπΈ - Fearnley J
Match history
Unlock the full match prediction
The Volf Dzh. πΊπΈ - Fearnley J breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.
- Full AI consensus of 7 models
- Win probabilities & value flags
- Match history & form