Hara Friend J D - Volf Dzh. πΊπΈ
About the athletes
Hara Friend J D face Volf Dzh. πΊπΈ on July 31, 2026 in the ATP Challenger. Vancouver.
Recent form (W-D-L): Hara Friend J D 1-0-0, Volf Dzh. πΊπΈ 2-0-0. PrognozAI's Glicko-2 model gives the home side 42% to win. Read on for detailed stats, previous meetings, the bookmaker line and the PrognozAI neural-network verdict.
Our model prediction (Glicko-2)
PropickAI model Β· comparison with the market line (no margin)
2 Volf Dzh. πΊπΈ β 58%
Pure model vs market (2 Β· Volf Dzh. πΊπΈ): model 57% Β· market 59% Ξ β2 pp model estimate matches the market
Model estimate: win Hara Friend J D 41.6%, win Volf Dzh. πΊπΈ 58.4%. Model favourite β Volf Dzh. πΊπΈ.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Hara Friend J
- • D
- • π―π΅ β Volf Dzh
- • πΊπΈ (tennis)
- • Hara Friend J
- • D
- • π―π΅: forma VVVPP (3-2)
- • Volf Dzh
- • πΊπΈ: forma VVVVP (4-1)
- • Model backs Volf Dzh
- • πΊπΈ: probability 58% vs 62% on the line (odds 1.60)
- • no edge over the line (-4 pp) β informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Hara Friend J D - Volf Dzh. πΊπΈ July 31, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Volf Dzh. πΊπΈ.
- Win odds (market consensus): 1 2.30 / 2 1.60
- Glicko: Hara Friend J D 41.6% / Volf Dzh. πΊπΈ 58.4%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin β for reference, not a betting recommendation.Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds β reference information, not a prediction or 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.
Hara Friend J D - Volf Dzh. πΊπΈ
V baze uchteny nedavnie matchi oboikh uchastnikov.
We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.
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.
Match markets
Handicap
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| 1.81 55.3% | 1.81 55.3% | 1.85 54.1% | |
| 1.91 52.4% | 1.90 52.6% | 1.89 52.9% |
Total
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| Over 22.5 | 1.83 54.6% | 1.80 55.6% | 1.86 53.8% |
| Under 22.5 | 1.89 52.9% | 1.90 52.6% | 1.88 53.2% |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| 2.30 43.5% | 2.20 45.5% | 2.23 44.8% | |
| 1.57 63.7% | 1.60 62.5% | 1.58 63.3% |
Bonzi B
Volf Dzh. πΊπΈ
Chzhan Ch. π¨π³
Full head-to-head historyHara Friend J D - Volf Dzh. πΊπΈ
Match history
Unlock the full match prediction
The Hara Friend J D - Volf Dzh. πΊπΈ 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