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Challenger Men - Doubles: Bonn (Germany), clay
Challenger Men - Doubles: Bonn (Germany), clay
28.07.2026 10:30 UTC

Lok K./Chzhu M. - Dankan Sk./Heinonen A.

Tennis Challenger Men - Doubles: Bonn (Germany), clay
Challenger Men - Doubles: Bonn (Germany), clay clay 28.07.2026 10:30 UTC Finished
28.07.2026 10:30 UTC Finished
L
Lok K./Chzhu M.
D
Dankan Sk./Heinonen A.
-:-
Odds
P1 3.27 29.2% BetBoom
P2 1.35 70.8% BetBoom
Coverage: clay
Preview Statistics Broadcast Comments

About the athletes

- Country -
- Rating -
- Age -
- Height (cm) -
- Weight (kg) -
- Hand -
- Seed -
clay Coverage clay
0 H2H 0
🎯 PropickAI prediction
Medium confidence

Our model prediction (Glicko-2)

PropickAI model · comparison with the market line (no margin)

2 Dankan Sk./Heinonen A. — 67%

Pure model vs market (2 · Dankan Sk./Heinonen A.): model 48% · market 77% Δ −29 pp model estimates below the market

1 · Lok K./Chzhu M.33.5%
market23%
2 · Dankan Sk./Heinonen A. ✓ Pick66.5%
market77%

Model estimate: win Lok K./Chzhu M. 33.5%, win Dankan Sk./Heinonen A. 66.5%. Model favourite — Dankan Sk./Heinonen A..

Informational estimate, not a betting recommendation.

AI agent prediction

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

2Dankan Sk./Heinonen A. (odds1.33) Score 1:2 confidence 57%
  • • Lok K./Chzhu M
  • • — Dankan Sk./Heinonen A
  • • (tennis)
  • • Model backs Dankan Sk./Heinonen A.: probability 57% vs 75% on the line (odds 1.33)
  • • no edge over the line (-18 pp) — informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Lok K./Chzhu M. - Dankan Sk./Heinonen A. July 28, 2026

Tennis math model

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

Line favourite market consensus: Dankan Sk./Heinonen A.. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 4.50 / 2 1.35

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin -3.7%
1 23.1%
2 ✓ Pick 76.9%

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

Match center
Start 28.07.2026 10:30 UTC
Coverage clay
Match center

Lok K./Chzhu M. - Dankan Sk./Heinonen A.

H2H 0 head-to-head matches
Market 2 model / bookmakers
Flashscore match data source checked
Odds match data source checked
Line depth match data source checked
Present in data
Market Match Participants Line
More needed
Form Championat, Flashscore
H2H Championat, Flashscore
Tournament Championat, Flashscore
Movement Line history
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
Lok K./Chzhu M. 31.4% 33.5%
Dankan Sk./Heinonen A. 68.6% 66.5% market and model agree

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

Tennis math model
P1 / P2 33.5% / 66.5% probabilities
Rating 1,500 / 1,500 Lok K./Chzhu M. / Dankan Sk./Heinonen A.
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 1.24 market consensus · no value · model 66.5%
1 3.77 market consensus · no value · model 33.5%

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

bookmaker line and markets

Outcome (1X2)

Outcome Baltbet Betcity Leon
3.90 25.6% 2.90 34.5% 4.50 22.2%
1.21 82.6% 1.35 74.1% 1.16 86.2%