Saito S - Kollins K. πΊπΈ
About the athletes
Saito S meet Kollins K. πΊπΈ on July 31, 2026 in the World Tennis. Women. Lexington.
Recent form (W-D-L): Saito S 2-0-0, Kollins K. πΊπΈ 1-0-0. PrognozAI's Glicko-2 model gives the home side 56% to win. Scroll down for team stats, head-to-head record, odds and the PrognozAI AI pick.
Our model prediction (Glicko-2)
1 Saito S β 56%
Pure model vs market (1 Β· Saito S): model 51% Β· market 57% Ξ β6 pp model estimates below the market
Model estimate: win Saito S 56.3%, win Kollins K. πΊπΈ 43.7%. Model favourite β Saito S.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Saito S
- • π―π΅ β Kollins K
- • πΊπΈ (tennis)
- • Saito S
- • π―π΅: forma VVPVV (4-1)
- • Kollins K
- • πΊπΈ: forma VPVVP (3-2)
- • Model backs Saito S
- • π―π΅: probability 63% vs 69% on the line (odds 1.45)
- • no edge over the line (-6 pp) β informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Saito S - Kollins K. πΊπΈ July 31, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Saito S.
- Win odds (market consensus): 1 1.65 / 2 2.20
- Glicko: Saito S 56.3% / Kollins K. πΊπΈ 43.7%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin β for reference, not a betting recommendation.Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds β reference information, not a prediction or a betting recommendation.
Saito S - Kollins K. πΊπΈ
V baze uchteny nedavnie matchi oboikh uchastnikov.
We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.
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.
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
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 notes are built from the line, market and our math model: take a signal only when the model and market agree.
Match markets
Handicap
| Outcome | Baltbet | Betcity |
|---|---|---|
| 1.88 53.2% | 1.85 54.1% | |
| 1.85 54.1% | 1.86 53.8% | |
| 1.82 55.0% | 1.85 54.1% | |
| 1.85 54.1% | 1.84 54.4% |
Total
| Outcome | Baltbet | Betcity |
|---|---|---|
| Over 20.5 | 1.78 56.2% | 1.77 56.5% |
| Under 20.5 | 1.93 51.8% | 1.93 51.8% |
Outcome (1X2)
| Outcome | Baltbet | Betcity |
|---|---|---|
| 1.65 60.6% | 1.60 62.5% | |
| 2.10 47.6% | 2.20 45.5% |
Saito S
Rapolu M. πΊπΈ
Full head-to-head historySaito S - Kollins K. πΊπΈ
Match history
Unlock the full match prediction
The Saito S - Kollins K. πΊπΈ breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.
- Full AI consensus of 7 models
- Win probabilities & value flags
- Match history & form