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ITF Men - Doubles: M15 Monastir 27 (Tunisia), hard
ITF Men - Doubles: M15 Monastir 27 (Tunisia), hard
14.07.2026 10:00 UTC Match prediction

Banolini D./Bult F. - Elamin A./Smiej Y.

Tennis ITF Men - Doubles: M15 Monastir 27 (Tunisia), hard
ITF Men - Doubles: M15 Monastir 27 (Tunisia), hard hard 14.07.2026 10:00 UTC Finished
14.07.2026 10:00 UTC Finished
B
Banolini D./Bult F.
E
Elamin A./Smiej Y.
0:2
Coverage: hard
Preview Statistics Broadcast Comments

About the athletes

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

Our model prediction (Glicko-2)

1 Banolini D./Bult F. — 50%

1 · Banolini D./Bult F.50.0%
2 · Elamin A./Smiej Y.50.0%

Model estimate: win Banolini D./Bult F. 50.0%, win Elamin A./Smiej Y. 50.0%. Model favourite — Banolini D./Bult F..

Informational estimate, not a betting recommendation.

Math-model prediction

AI match prediction Banolini D./Bult F. - Elamin A./Smiej Y. 14 июля 2026

Tennis math model

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

  • Glicko: Banolini D./Bult F. 50.0% / Elamin A./Smiej Y. 50.0%
Match center
Start 14.07.2026 10:00 UTC
Coverage hard
Match center

Banolini D./Bult F. - Elamin A./Smiej Y.

H2H 0 head-to-head matches
Market 0 model / bookmakers
Flashscore match data source checked
Odds match data source checked
Present in data
Match Participants
More needed
Market BetBoom, Flashscore, odds
Form Championat, Flashscore
H2H Championat, Flashscore
Tournament Championat, Flashscore
Line BetBoom, odds
Movement Line history
Overview Championat
Post-match / PropickAI database
Score 0:2
Events 0
Statistics 0
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
Banolini D./Bult F. - 50.0% model pick
Elamin A./Smiej Y. - 50.0%

Glicko-2 - рейтинговая модель силы: сравнивает линию, историю и стабильность, но не дает гарантий.

Tennis math model
P1 / P2 50.0% / 50.0% probabilities
Rating 1,500 / 1,500 Banolini D./Bult F. / Elamin A./Smiej Y.
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: value не найден

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.