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ITF Women - Singles: W15 Hillcrest 3 (South Africa), hard
ITF Women - Singles: W15 Hillcrest 3 (South Africa), hard
15.07.2026 10:30 MSK Match prediction

Dzhozef K. 🇿🇦 - Krolitzky S. 🇮🇱

Tennis ITF Women - Singles: W15 Hillcrest 3 (South Africa), hard
ITF Women - Singles: W15 Hillcrest 3 (South Africa), hard hard 15.07.2026 10:30 MSK Finished
15.07.2026 10:30 MSK Finished
D
Dzhozef K. 🇿🇦
K
Krolitzky S. 🇮🇱
2:0
Odds
P1 2.06 44.2% BetBoom
P2 1.63 55.8% 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

Our model prediction (Glicko-2)

1 Dzhozef K. 🇿🇦 — 50%

1 · Dzhozef K. 🇿🇦50.0%
2 · Krolitzky S. 🇮🇱50.0%

Model estimate: win Dzhozef K. 🇿🇦 50.0%, win Krolitzky S. 🇮🇱 50.0%. Model favourite — Dzhozef K. 🇿🇦.

Informational estimate, not a betting recommendation.

AI agent prediction

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

1Dzhozef K. 🇿🇦 (odds2.06) confidence 48% ✓ outcome correct

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Dzhozef K. 🇿🇦 - Krolitzky S. 🇮🇱 15 июля 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Krolitzky S. 🇮🇱.

Line favourite market consensus: Krolitzky S. 🇮🇱. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 2.06 / 2 1.63
  • Glicko: Dzhozef K. 🇿🇦 50.0% / Krolitzky S. 🇮🇱 50.0%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 9.9%
1 44.2%
2 55.8%

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 15.07.2026 10:30 MSK
Coverage hard
Match center

Dzhozef K. 🇿🇦 - Krolitzky S. 🇮🇱

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 Match Participants Line
More needed
Form Championat, Flashscore
H2H Championat, Flashscore
Tournament Championat, Flashscore
Movement Line history
Overview Championat
Post-match / PropickAI database
Score 2:0
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
Dzhozef K. 🇿🇦 44.2% 50.0% Glicko-противоход
Krolitzky S. 🇮🇱 55.8% 50.0% market favourite
1X2: 1 Bookies

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 Dzhozef K. 🇿🇦 / Krolitzky S. 🇮🇱
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.

Betting snapshot
1X2
2 1.63 market consensus · no value · model 50.0%
1 2.06 market consensus · no value · model 50.0%

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

Outcome (1X2)

Outcome Leon
П1 2.06 48.5%
П2 1.63 61.4%