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Challenger Men - Singles: San Marino (San-Marino), clay
Challenger Men - Singles: San Marino (San-Marino), clay
29.07.2026 14:30 UTC Match prediction

Muller A - Cecchinato M

Tennis Challenger Men - Singles: San Marino (San-Marino), clay
Challenger Men - Singles: San Marino (San-Marino), clay clay 29.07.2026 14:30 UTC Finished
29.07.2026 14:30 UTC Finished
Muller A
Muller A
W
C
Cecchinato M
W
2:1
Odds
P1 1.97 49.6% BetBoom
P2 1.94 50.4% 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

Our model prediction (Glicko-2)

2 Cecchinato M — 51%

Pure model vs market (2 · Cecchinato M): model 54% · market 50% Δ +4 pp model estimates above the market

1 · Muller A49.2%
2 · Cecchinato M50.8%

Model estimate: win Muller A 49.2%, win Cecchinato M 50.8%. Model favourite — Cecchinato M.

Informational estimate, not a betting recommendation.

AI agent prediction

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

2Cecchinato M (odds1.74) Score 1:2 confidence 54% ✗ outcome missed
  • • Myuller A
  • • 🇫🇷 — Chekkinato M
  • • 🇮🇹 (tennis)
  • • Myuller A
  • • 🇫🇷: forma VPPP (1-3)
  • • Chekkinato M
  • • 🇮🇹: forma VPVVP (3-2)
  • • Model backs Chekkinato M
  • • 🇮🇹: probability 54% vs 57% on the line (odds 1.74)
  • • no edge over the line (-3 pp) — informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Muller A - Cecchinato M July 29, 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Cecchinato M.

Line favourite market consensus: Cecchinato M. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 1.97 / 2 1.94
  • Glicko: Muller A 49.2% / Cecchinato M 50.8%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 2.3%
1 49.6%
2 50.4%

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.

Head-to-head and form stats

Head-to-head and form

Team form

Muller A

no data

Cecchinato M
7-3WWLWWLLWWW
scored 1.6conceded 0.9

Head-to-head and recent form per sports statistics — for reference.

Match center
Start 29.07.2026 14:30 UTC
Coverage clay
Form 6 matches
Match center

Muller A - Cecchinato M

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 1/1 recent games
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 Form Match Participants Line Overview
More needed
H2H Championat, Flashscore
Tournament Championat, Flashscore
Movement Line history
Post-match / PropickAI database
Score 2:1
Events 0
Statistics 0
PropickAI check: math model and Glicko-2

We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.

Option Signal Prediction / actual Rating
Glicko-2: base favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 50.8% fact: home missed / ROI -100.0% / Brier 0.516 / LogLoss 0.709
Glicko-2: calibrated favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 50.1% fact: home missed / ROI -100.0% / Brier 0.502 / LogLoss 0.695
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
Muller A 49.6% 49.2%
Cecchinato M 50.4% 50.8% market and model agree
1X2: 2 Bookies

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

Tennis math model
P1 / P2 49.2% / 50.8% probabilities
Rating 1,597 / 1,774 Muller A / Cecchinato M
RD 213 / 121 rating uncertainty
r +/- 2RD 1,171-2,022 / 1,532-2,016 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 1.84 market consensus · no value · model 50.8%
1 1.87 market consensus · no value · model 49.2%
Handicap
2 +0.5 1.90 market consensus · line only
1 -0.5 1.84 market consensus · line only
Total
Over 22.5 1.88 market consensus · line only
Under 22.5 1.84 market consensus · line only

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

Handicap

Outcome Betcity Leon
1.77 56.5% —
— 1.84 54.4%
— 1.90 52.6%
1.93 51.8% —

Total

Outcome Betcity Leon
Over 22.5 1.85 54.1% 1.91 52.4%
Under 22.5 1.85 54.1% 1.83 54.6%

Outcome (1X2)

Outcome Betcity Leon
1.97 50.8% 1.77 56.5%
1.74 57.5% 1.94 51.6%
Match center
Muller A
W
27.07 12:00 UTC Challenger Men - Singles: San Marino (San-Marino), clay
Muller A 2:0 Napolitano S. 🇮🇹Napolitano S. 🇮🇹
1 Wins
0 Losses
2.0 Sets won
0.0 Sets lost
100% Win percentage
Cecchinato M
W
28.07 10:00 UTC Challenger Men - Singles: San Marino (San-Marino), clay
Cecchinato M 2:0 Agamenone F. 🇮🇹Agamenone F. 🇮🇹
1 Wins
0 Losses
2.0 Sets won
0.0 Sets lost
100% Win percentage
Match center

Full head-to-head historyMuller A - Cecchinato M

Muller A
0 matches total
Cecchinato M
Biggest win — largest score margin
Highest-scoring match — most goals in a game
Highest-scoring draw — draw with the most goals

Match history