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ITF Women - Singles: W15 Tianjin (China), hard
ITF Women - Singles: W15 Tianjin (China), hard

Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท - Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท

✓ Prematch ready Prematch data Line Form H2H Prediction

Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท meet Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท on August 5, 2026 in the ITF Women - Singles: W15 Tianjin (China), hard.

Below: team form, head-to-head history, bookmaker odds and the full PrognozAI AI breakdown.

๐ŸŽฏ PropickAI prediction
Medium confidence

Our model prediction (Glicko-2)

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

1 Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท โ€” 59%

Pure model vs market (1 ยท Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท): model 58% ยท market 60% ฮ” โˆ’2 pp model estimate matches the market

1 ยท Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท ✓ Pick59.5%
market60%
2 ยท Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท40.5%
market40%

Model estimate: win Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท 59.5%, win Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท 40.5%. Model favourite โ€” Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท.

Informational estimate, not a betting recommendation.

AI agent prediction

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

1Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท (odds1.54) Score 2:1 confidence 59%
  • Jang G
  • ๐Ÿ‡ฐ๐Ÿ‡ท โ€” Kim D
  • ๐Ÿ‡ฐ๐Ÿ‡ท (tennis)
  • Jang G
  • ๐Ÿ‡ฐ๐Ÿ‡ท: forma PPVVP (2-3)
  • Model backs Jang G
  • ๐Ÿ‡ฐ๐Ÿ‡ท: probability 59% vs 65% on the line (odds 1.54)
  • no edge over the line (-5 pp) โ€” informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท - Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท August 5, 2026

Tennis math model

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

Line favourite market consensus: Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 1.58 / 2 2.36

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin โ€” for reference, not a betting recommendation.
Winner bookmaker margin 8.9% 2 books ยท best price +3.3%
1 ✓ Pick 60.1%
2 40.0%

Odds source: consensus of 2 books (Betcity, Leon). This is the fair probability after removing the bookmaker margin from the odds โ€” reference information, not a prediction or a betting recommendation.

Tennis ITF Women - Singles: W15 Tianjin (China), hard
ITF Women - Singles: W15 Tianjin (China), hard hard 05.08.2026 03:30 UTC Not started
05.08.2026 03:30 UTC Not started
J
Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท
K
Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท
-:-
Odds
P1 1.58 59.4% BetBoom
P2 2.31 40.6% 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
Match center
Start 05.08.2026 03:30 UTC
Market 1 59.9% @ 1.58 / 2 40.1% @ 2.36
Coverage hard
Form 3 matches
Match center

Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท - Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 5/3 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
Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท 59.6% 59.5% market and model agree
Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท 40.4% 40.5%

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

Tennis math model
P1 / P2 59.5% / 40.5% probabilities
Rating 1,700 / 1,500 Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท / Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท
RD 170 / 350 rating uncertainty
r +/- 2RD 1,361-2,040 / 800-2,200 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 2.30 market consensus ยท no value ยท model 40.5%
1 1.53 market consensus ยท no value ยท model 59.5%

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 Betcity Leon
1.58 63.3% 1.48 67.6%
2.24 44.6% 2.36 42.4%
Match center
Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท
L L W W L
18.07 03:00 UTC+0 ITF Women - Singles: W15 Astana 2 (Kazakhstan), hard
Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท 1:2 Yodpetch K. ๐Ÿ‡น๐Ÿ‡ญ
16.07 08:30 UTC+0 ITF Women - Singles: W15 Luan 5 (China), hard
Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท 0:2 Sato N. ๐Ÿ‡ฏ๐Ÿ‡ต
16.07 03:15 UTC+0 ITF Women - Singles: W15 Astana 2 (Kazakhstan), hard
Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท 2:0 Sagandikova A. ๐Ÿ‡ฐ๐Ÿ‡ฟ
14.07 04:00 UTC+0 ITF Women - Singles: W15 Astana 2 (Kazakhstan), hard
Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท 2:0 Patil S. ๐Ÿ‡ฎ๐Ÿ‡ณ
10.07 04:00 UTC+0 ITF Women - Singles: W15 Astana (Kazakhstan), hard
Jang G. ๐Ÿ‡ฐ๐Ÿ‡ท 0:2 Yodpetch K. ๐Ÿ‡น๐Ÿ‡ญ
2 Wins
3 Losses
1.0 Sets won
1.2 Sets lost
40% Win percentage
Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท
L L W
18.07 03:00 UTC+0 ITF Women - Singles: W15 Astana 2 (Kazakhstan), hard
Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท 1:2 Yodpetch K. ๐Ÿ‡น๐Ÿ‡ญ
16.07 08:30 UTC+0 ITF Women - Singles: W15 Luan 5 (China), hard
Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท 0:2 Sato N. ๐Ÿ‡ฏ๐Ÿ‡ต
16.07 03:15 UTC+0 ITF Women - Singles: W15 Astana 2 (Kazakhstan), hard
Kim D. ๐Ÿ‡ฐ๐Ÿ‡ท 2:0 Sagandikova A. ๐Ÿ‡ฐ๐Ÿ‡ฟ
1 Wins
2 Losses
1.0 Sets won
1.3 Sets lost
33% Win percentage