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ITF Men - Singles: M15 Bali 2 (Indonesia), hard
ITF Men - Singles: M15 Bali 2 (Indonesia), hard
28.07.2026 02:00 UTC Match prediction

Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น - Saitoh Keisuke

Tennis ITF Men - Singles: M15 Bali 2 (Indonesia), hard
ITF Men - Singles: M15 Bali 2 (Indonesia), hard hard 28.07.2026 02:00 UTC Finished
28.07.2026 02:00 UTC Finished
B
Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น
S
Saitoh Keisuke
0:2
Odds
P1 6.90 13.5% BetBoom
P2 1.08 86.5% BetBoom
Coverage: hard
Preview Statistics Broadcast Comments

About the athletes

- Country -
- Rating -
- Age -
- Height (cm) -
- Weight (kg) -
- Hand -
- Seed -
hard Coverage hard
0 H2H 0
๐ŸŽฏ PropickAI prediction
High confidence

Our model prediction (Glicko-2)

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

2 Saitoh Keisuke โ€” 83%

Pure model vs market (2 ยท Saitoh Keisuke): model 58% ยท market 92% ฮ” โˆ’34 pp model estimates below the market

1 ยท Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น16.8%
market8%
2 ยท Saitoh Keisuke ✓ Pick83.2%
market92%

Model estimate: win Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น 16.8%, win Saitoh Keisuke 83.2%. Model favourite โ€” Saitoh Keisuke.

Informational estimate, not a betting recommendation.

Math-model prediction

AI match prediction Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น - Saitoh Keisuke July 28, 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Saitoh Keisuke.

Line favourite Fonbet: Saitoh Keisuke. We cross-check with Glicko and the math model below.
  • Win odds (Fonbet): 1 11.00 / 2 1.01
  • Glicko: Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น 16.8% / Saitoh Keisuke 83.2%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin โ€” for reference, not a betting recommendation.
Winner bookmaker margin 8.1%
1 8.4%
2 ✓ Pick 91.6%

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

Match center
Start 28.07.2026 02:00 UTC
Coverage hard
Form 6 matches
Match center

Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น - Saitoh Keisuke

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 3/5 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 0:2
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 - 83.2% fact: away hit / ROI 8.0% / Brier 0.056 / LogLoss 0.184
Glicko-2: calibrated favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 54.0% fact: away hit / ROI 8.0% / Brier 0.423 / LogLoss 0.616
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. ๐Ÿ‡ฎ๐Ÿ‡น 13.9% 16.8%
Saitoh Keisuke 86.1% 83.2% 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 16.8% / 83.2% probabilities
Rating 1,295 / 1,619 Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น / Saitoh Keisuke
RD 230 / 169 rating uncertainty
r +/- 2RD 834-1,756 / 1,282-1,956 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 1.01 Fonbet ยท no value ยท model 83.2%
1 6.65 market consensus ยท no value ยท model 16.8%
Total
Over 16.5 1.20 Fonbet ยท line only
Over 17.5 2.15 Fonbet ยท 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

Open on Fonbet →
bookmaker line and markets

Handicap

Outcome Betcity Fonbet
— 1.77 56.5%
1.71 58.5% 2.30 43.5%
— 1.20 83.3%
— 1.93 51.8%
— 1.55 64.5%
— 3.80 26.3%
2.02 49.5% —

Total

Outcome Betcity Fonbet
Over 16.5 — 1.20 83.3%
Over 17.5 — 2.15 46.5%
Over 18.5 1.80 55.6% 2.02 49.5%
Over 19.5 — 1.90 52.6%
Over 20.5 — 1.85 54.1%
Under 16.5 — 3.85 26.0%
Under 17.5 — 1.63 61.4%
Under 18.5 1.90 52.6% 1.70 58.8%
Under 19.5 — 1.80 55.6%
Under 20.5 — 1.85 54.1%

Outcome (1X2)

Outcome Baltbet Betcity Fonbet
6.40 15.6% 6.90 14.5% 11.00 9.1%
1.08 92.6% 1.07 93.5% 1.01 99.0%
Match center
Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น
L L W
15.07 06:30 UTC+0 ITF Men - Singles: M15 Monastir 27 (Tunisia), hard
Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น 1:2 Trifi A. (Tun)
08.07 08:00 UTC+0 ITF Men - Singles: M15 Monastir 26 (Tunisia), hard
Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น 0:2 Stepanov T. ๐Ÿ‡จ๐Ÿ‡ญ
24.05 11:10 UTC+0 Challenger Men - Singles: Vichentsa (Italy) - Qualifying, clay
Banolini D. ๐Ÿ‡ฎ๐Ÿ‡น 2:0 Nesterov P. ๐Ÿ‡ง๐Ÿ‡ด
1 Wins
2 Losses
1.0 Sets won
1.3 Sets lost
33% Win percentage
Saitoh Keisuke
L W L W W
23.07 03:30 UTC+0 ITF Men - Singles: M15 Bali (Indonesia), hard
Saitoh Keisuke 0:2 Chan E. ๐Ÿ‡บ๐Ÿ‡ธ
22.07 03:30 UTC+0 ITF Men - Singles: M15 Bali (Indonesia), hard
Saitoh Keisuke 2:0 Nakamura RNakamura R
29.05 00:00 UTC+0 ITF Men - Singles: M15 Gimcheon 2 (South Korea), hard
Saitoh Keisuke 1:2 Magadan A. (Mek)Magadan A. (Mek)
28.05 01:00 UTC+0 ITF Men - Singles: M15 Gimcheon 2 (South Korea), hard
Saitoh Keisuke 2:0 Sach T. ๐Ÿ‡ฆ๐Ÿ‡บSach T. ๐Ÿ‡ฆ๐Ÿ‡บ
27.05 02:00 UTC+0 ITF Men - Singles: M15 Gimcheon 2 (South Korea), hard
Saitoh Keisuke 2:1 Oh H. T. ๐Ÿ‡ฐ๐Ÿ‡ท
3 Wins
2 Losses
1.4 Sets won
1.0 Sets lost
60% Win percentage