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ITF Men - Singles: M15 Bali 2 (Indonesia), hard
ITF Men - Singles: M15 Bali 2 (Indonesia), hard

Shin Sanhui - Saitoh K

Tennis ITF Men - Singles: M15 Bali 2 (Indonesia), hard
ITF Men - Singles: M15 Bali 2 (Indonesia), hard hard 31.07.2026 02:00 UTC Finished
31.07.2026 02:00 UTC Finished
S
Shin Sanhui
W W
S
Saitoh K
W W
1:2
Odds
P1 1.57 59.1% BetBoom
P2 2.27 40.9% 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
🎯 PropickAI prediction
Medium confidence

Our model prediction (Glicko-2)

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

1 Shin Sanhui59%

Pure model vs market (1 · Shin Sanhui): model 59% · market 59% Δ 0 pp model estimate matches the market

1 · Shin Sanhui ✓ Pick59.1%
market59%
2 · Saitoh K40.9%
market41%

Model estimate: win Shin Sanhui 59.1%, win Saitoh K 40.9%. Model favourite — Shin Sanhui.

Informational estimate, not a betting recommendation.

AI agent prediction

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

1Shin Sanhui (odds1.56) Score 2:1 confidence 59% ✗ outcome missed
  • Shin S
  • 🇰🇷 — Saito K
  • 🇯🇵 (tennis)
  • Shin S
  • 🇰🇷: forma VVPVV (4-1)
  • Saito K
  • 🇯🇵: forma VVPVP (3-2)
  • Model backs Shin S
  • 🇰🇷: probability 59% vs 64% on the line (odds 1.56)
  • no edge over the line (-5 pp) — informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Shin Sanhui - Saitoh K July 31, 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Shin Sanhui.

Line favourite market consensus: Shin Sanhui. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 1.57 / 2 2.27
  • Glicko: Shin Sanhui 59.1% / Saitoh K 40.9%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 7.7%
1 ✓ Pick 59.1%
2 40.9%

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 31.07.2026 02:00 UTC
Market 1 59.1% @ 1.57 / 2 40.9% @ 2.27
Coverage hard
Form 6 matches
Match center

Shin Sanhui - Saitoh K

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 2/2 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 1:2
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 home - 59.1% fact: away missed / ROI -100.0% / Brier 0.698 / LogLoss 0.893
Glicko-2: calibrated favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage home - 51.1% fact: away missed / ROI -100.0% / Brier 0.522 / LogLoss 0.715
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
Shin Sanhui 59.1% 59.1% market and model agree
Saitoh K 40.9% 40.9%
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 59.1% / 40.9% probabilities
Rating 1,879 / 1,695 Shin Sanhui / Saitoh K
RD 143 / 154 rating uncertainty
r +/- 2RD 1,594-2,164 / 1,386-2,004 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 2.26 market consensus · no value · model 40.9%
1 1.57 market consensus · no value · model 59.1%
Total
Over 20.5 1.81 market consensus · line only
Over 21.5 1.90 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 Baltbet Betcity
1.80 55.6% 1.85 54.1%
1.90 52.6% 1.85 54.1%

Total

Outcome Baltbet Betcity
Over 20.5 1.81 55.3%
Over 21.5 1.90 52.6%
Under 20.5 1.90 52.6%
Under 21.5 1.80 55.6%

Outcome (1X2)

Outcome Baltbet Betcity
1.57 63.7% 1.56 64.1%
2.25 44.4% 2.27 44.1%
Match center
Shin Sanhui
W W
30.07 02:00 UTC ITF Men - Singles: M15 Bali 2 (Indonesia), hard
Shin Sanhui 2:0 Taguchi R. 🇯🇵
28.07 01:00 UTC ITF Men - Singles: M15 Bali 2 (Indonesia), hard
Shin Sanhui 2:1 Chauhan H. 🇮🇳Chauhan H. 🇮🇳
2 Wins
0 Losses
2.0 Sets won
0.5 Sets lost
100% Win percentage
Saitoh K
W W
30.07 03:00 UTC ITF Men - Singles: M15 Bali 2 (Indonesia), hard
Saitoh K 2:0 Da Costa R. 🇮🇩
28.07 02:00 UTC ITF Men - Singles: M15 Bali 2 (Indonesia), hard
Saitoh K 2:0 Banolini D. 🇮🇹
2 Wins
0 Losses
2.0 Sets won
0.0 Sets lost
100% Win percentage
Match center

Full head-to-head historyShin Sanhui - Saitoh K

Shin Sanhui
0 matches total
Saitoh K
Biggest win largest score margin
Highest-scoring match most goals in a game
Highest-scoring draw draw with the most goals

Match history