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ITF Women - Singles: W50 Knokke-Heist (Belgium), clay
ITF Women - Singles: W50 Knokke-Heist (Belgium), clay

Di Girolami T. πŸ‡§πŸ‡ͺ - Mikulskyte J

🎯 PropickAI prediction
Medium confidence

Our model prediction (Glicko-2)

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

2 Mikulskyte J β€” 59%

Pure model vs market (2 Β· Mikulskyte J): model 60% Β· market 59% Ξ” +1 pp model estimate matches the market

1 Β· Di Girolami T. πŸ‡§πŸ‡ͺ40.9%
market41%
2 Β· Mikulskyte J ✓ Pick59.1%
market59%

Model estimate: win Di Girolami T. πŸ‡§πŸ‡ͺ 40.9%, win Mikulskyte J 59.1%. Model favourite β€” Mikulskyte J.

Informational estimate, not a betting recommendation.

AI agent prediction

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

2Mikulskyte J (odds1.48) Score 1:2 confidence 60%
  • Di Girolami T
  • πŸ‡§πŸ‡ͺ β€” Mikulskite Yu
  • πŸ‡±πŸ‡Ή (tennis)
  • Di Girolami T
  • πŸ‡§πŸ‡ͺ: forma P (0-1)
  • Mikulskite Yu
  • πŸ‡±πŸ‡Ή: forma PPVVV (3-2)
  • Model backs Mikulskite Yu
  • πŸ‡±πŸ‡Ή: probability 60% vs 68% on the line (odds 1.48)
  • no edge over the line (-7 pp) β€” informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Di Girolami T. πŸ‡§πŸ‡ͺ - Mikulskyte J July 28, 2026

Tennis math model

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

Line favourite market consensus: Mikulskyte J. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 2.26 / 2 1.57

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin β€” for reference, not a betting recommendation.
Winner bookmaker margin 7.9%
1 41.0%
2 ✓ Pick 59.0%

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.

Tennis ITF Women - Singles: W50 Knokke-Heist (Belgium), clay
ITF Women - Singles: W50 Knokke-Heist (Belgium), clay clay 28.07.2026 14:00 UTC Not started
28.07.2026 14:00 UTC Not started
D
Di Girolami T. πŸ‡§πŸ‡ͺ
Mikulskyte J
Mikulskyte J
-:-
Odds
P1 2.26 41.0% BetBoom
P2 1.57 59.0% BetBoom
Coverage: clay
Preview Statistics Broadcast Comments

About the athletes

- Country -
- Rating -
- Age -
- Height (cm) -
- Weight (kg) -
- Hand -
- Seed -
clay Coverage clay
0 H2H 0
Match center
Start 28.07.2026 14:00 UTC
Coverage clay
Form 4 matches
Match center

Di Girolami T. πŸ‡§πŸ‡ͺ - Mikulskyte J

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 1/5 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
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
Di Girolami T. πŸ‡§πŸ‡ͺ 41.1% 40.9%
Mikulskyte J 59.0% 59.1% market and model agree

Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.

Tennis math model
P1 / P2 40.9% / 59.1% probabilities
Rating 1,322 / 1,804 Di Girolami T. πŸ‡§πŸ‡ͺ / Mikulskyte J
RD 292 / 165 rating uncertainty
r +/- 2RD 737-1,906 / 1,475-2,134 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 1.57 market consensus Β· no value Β· model 59.1%
1 2.26 market consensus Β· no value Β· model 40.9%
Total
Over 20.5 1.79 market consensus Β· line only
Under 20.5 1.92 market consensus Β· 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
1.90 52.6% 1.88 53.2%
1.80 55.6% 1.78 56.2%
1.80 55.6% 1.82 55.0%
1.90 52.6% 1.92 52.1%

Total

Outcome Baltbet Betcity
Over 20.5 1.80 55.6% 1.78 56.2%
Under 20.5 1.90 52.6% 1.93 51.8%

Outcome (1X2)

Outcome Baltbet Betcity
2.25 44.4% 2.26 44.3%
1.57 63.7% 1.57 63.7%
Match center
Di Girolami T. πŸ‡§πŸ‡ͺ
L
01.07 06:00 UTC+0 ITF Women - Singles: W35 Amstelveen (Netherlands), clay
Di Girolami T. πŸ‡§πŸ‡ͺ 0:2 Kulambaeva Zh. πŸ‡°πŸ‡Ώ
0 Wins
1 Losses
0.0 Sets won
2.0 Sets lost
0% Win percentage
Mikulskyte J
L L W W W
22.07 11:00 UTC+0 ITF Women - Singles: W100 Amstetten (Austria), clay
Mikulskyte J 0:2 Errero Linyana A. πŸ‡ͺπŸ‡Έ
19.07 08:00 UTC+0 ITF Women - Singles: W75 Vitoria Gasteiz (Spain), hard
Mikulskyte J 1:2 Kubka M. πŸ‡΅πŸ‡±
18.07 09:00 UTC+0 ITF Women - Singles: W75 Vitoria Gasteiz (Spain), hard
Mikulskyte J 2:0 Savinykh V. (World)
17.07 10:00 UTC+0 ITF Women - Singles: W75 Vitoria Gasteiz (Spain), hard
Mikulskyte J 2:0 Golovina M. (World)
16.07 07:30 UTC+0 ITF Women - Singles: W75 Vitoria Gasteiz (Spain), hard
Mikulskyte J 2:0 Boulard L. πŸ‡«πŸ‡·
3 Wins
2 Losses
1.4 Sets won
0.8 Sets lost
60% Win percentage