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WTA 125K. Targu Mures. Doubles
WTA 125K. Targu Mures. Doubles
29.07.2026 12:00 UTC

Labutkova A./Monne K. - Breaz A./Gaylis R.

🎯 PropickAI prediction
Medium confidence

Our model prediction (Glicko-2)

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

1 Labutkova A./Monne K. — 68%

Pure model vs market (1 · Labutkova A./Monne K.): model 52% · market 69% Δ −17 pp model estimates below the market

1 · Labutkova A./Monne K. ✓ Pick67.5%
market69%
2 · Breaz A./Gaylis R.32.5%
market31%

Model estimate: win Labutkova A./Monne K. 67.5%, win Breaz A./Gaylis R. 32.5%. Model favourite — Labutkova A./Monne K..

Informational estimate, not a betting recommendation.

AI agent prediction

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

1Labutkova A./Monne K. (odds1.30) Score 2:1 confidence 52%
  • • Labutkova A./Monne K
  • • — Breaz A./Gaylis R
  • • (tennis)
  • • Model backs Labutkova A./Monne K.: probability 52% vs 77% on the line (odds 1.30)
  • • no edge over the line (-25 pp) — informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Labutkova A./Monne K. - Breaz A./Gaylis R. July 29, 2026

Tennis math model

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

Line favourite market consensus: Labutkova A./Monne K.. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 1.34 / 2 3.05

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 7.4%
1 ✓ Pick 69.5%
2 30.5%

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.

Tennis WTA 125K. Targu Mures. Doubles
WTA 125K. Targu Mures. Doubles clay 29.07.2026 12:00 UTC Not started
29.07.2026 12:00 UTC Not started
L
Labutkova A./Monne K.
B
Breaz A./Gaylis R.
-:-
Odds
P1 1.34 69.1% BetBoom
P2 3.00 30.9% 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
Match center
Start 29.07.2026 12:00 UTC
Coverage clay
Match center

Labutkova A./Monne K. - Breaz A./Gaylis R.

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
Labutkova A./Monne K. 69.2% 67.5% market and model agree
Breaz A./Gaylis R. 30.8% 32.5%

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

Tennis math model
P1 / P2 67.5% / 32.5% probabilities
Rating 1,500 / 1,500 Labutkova A./Monne K. / Breaz A./Gaylis R.
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 3.02 market consensus · no value · model 32.5%
1 1.33 market consensus · no value · model 67.5%

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
1.34 74.6% 1.33 75.2% 1.31 76.3%
3.00 33.3% 3.00 33.3% 3.05 32.8%