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ATP Challenger. Liberec. Doubles
ATP Challenger. Liberec. Doubles International
29.07.2026 13:30 UTC

Neuchrist M / Poljak D - Forcano I / Vervoort M

🎯 PropickAI prediction

Our model prediction (Glicko-2)

1 Neuchrist M / Poljak D — 52%

1 · Neuchrist M / Poljak D52.4%
2 · Forcano I / Vervoort M47.6%

Model estimate: win Neuchrist M / Poljak D 52.4%, win Forcano I / Vervoort M 47.6%. Model favourite — Neuchrist M / Poljak D.

Informational estimate, not a betting recommendation.

AI agent prediction

Independent AI-agent assessment from our data (model, market line, form, H2H)

1Neuchrist M / Poljak D (odds1.27) Score 2:1 confidence 52%
  • • Model backs Noykrist M / Polyak D: probability 52% vs 79% on the line (odds 1.27)
  • • no edge over the line (-26 pp) — informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Neuchrist M / Poljak D - Forcano I / Vervoort M July 29, 2026

Tennis math model

The summary is built from our prematch context: line, form, lineups and Glicko.

Line favourite Fonbet: Neuchrist M / Poljak D. We cross-check with Glicko and the math model below.
  • Win odds (Fonbet): 1 1.27 / 2 3.25

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 9.5%
1 71.9%
2 28.1%

Odds source: Fonbet. This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.

For reference

Line movement

How the odds changed from opening to the current line — for reference, not a betting recommendation.
Pobeditel P1 1.27 → 1.27
Pobeditel P2 3.25 → 3.25

↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.

Tennis ATP Challenger. Liberec. Doubles
ATP Challenger. Liberec. Doubles 29.07.2026 13:30 UTC Not started
29.07.2026 13:30 UTC Not started
Neuchrist M / Poljak D
Neuchrist M / Poljak D
Forcano I / Vervoort M
Forcano I / Vervoort M
-:-
Odds
P1 1.27 71.9% BetBoom
P2 3.25 28.1% BetBoom
Preview Statistics Broadcast Comments

About the athletes

- Country -
- Rating -
- Age -
- Height (cm) -
- Weight (kg) -
- Hand -
- Seed -
- Coverage -
0 H2H 0
Match center
Start 29.07.2026 13:30 UTC
Match center

Neuchrist M / Poljak D - Forcano I / Vervoort M

H2H 0 head-to-head matches
Market 2 model / bookmakers
Flashscore match data source checked
Odds match data source checked
Bookiesapi match data source checked
Line depth match data source checked
Present in data
Market Match Participants Line Movement
More needed
Form Championat, Flashscore
H2H Championat, Flashscore
Tournament Championat, Flashscore
Overview Championat
Market and Glicko

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.

Outcome Line Glicko Signal
Neuchrist M / Poljak D 71.9% 52.4% market and model agree
Forcano I / Vervoort M 28.1% 47.6%

Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.

Tennis math model
P1 / P2 52.4% / 47.6% probabilities
Rating 1,500 / 1,500 Neuchrist M / Poljak D / Forcano I / Vervoort M
RD 350 / 350 rating uncertainty
r +/- 2RD 800-2,200 / 800-2,200 strength interval
HFA: 0 HFA mu: 0.000 MoV: on N: N=1 P: two_way_glicko2_expected_score

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 snapshot
1X2
2 3.25 Fonbet · weak value +54.7% · model 47.6%
1 1.27 Fonbet · no value · model 52.4%

Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.

Bookmaker line

Match markets

Open on Fonbet →
bookmaker line and markets

Outcome (1X2)

Outcome Fonbet
1.27 78.7%
3.25 30.8%