Sedysheva A - Jang Su Jeong
Extended stats (scorego)
| Sedysheva A | Jang Su Jeong | |
|---|---|---|
| Win % | 48.3% | 6.2% |
| Hard % | 49% | 9.1% |
| Clay % | 50% | 0% |
| Grass % | 0% | 0% |
| Deciding set % | 46.7% | 0% |
| Tie-breaks % | 21.4% | 0% |
| Titles (total) | 0 | 0 |
| Last 10 | LLWLWLLWWL | LLLLLLLLLL |
Source: scorego-app.com
About the athletes
TennisStats: rating, form and serve/return
Hard
| Su Jeong Jang | Anna Sedysheva | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 40.0% 6 / 15 Matches | 42.9% 6 / 14 Matches |
| Win Percentage Last 12 Months | 40.7% 11 / 27 Matches | 44.4% 8 / 18 Matches |
| Aces Per Match | N/A | N/A |
| Most Aces in a match | N/A | N/A |
Clay
| Su Jeong Jang | Anna Sedysheva | |
|---|---|---|
| Win Percentage 2026 Calendar Year | N/A 0 / 0 Matches | 50.0% 2 / 4 Matches |
| Win Percentage Last 12 Months | 33.3% 1 / 3 Matches | 50.0% 2 / 4 Matches |
| Aces Per Match | N/A | N/A |
| Most Aces in a match | N/A | N/A |
Grass
| Su Jeong Jang | Anna Sedysheva | |
|---|---|---|
| Win Percentage 2026 Calendar Year | N/A 0 / 0 Matches | 0.0% 0 / 1 Matches |
| Win Percentage Last 12 Months | N/A 0 / 0 Matches | 0.0% 0 / 1 Matches |
| Aces Per Match | N/A | N/A |
| Most Aces in a match | N/A | N/A |
Source:tennisstats.com
H2H series (tennisstats)
| Su Jeong Jang | Anna Sedysheva | |
|---|---|---|
| H2H wins | 0 (0%) | 0 (0%) |
| Sets | 0 (0%) | 0 (0%) |
| Wins this year | 40.0% 6 / 15 Matches | 42.1% 8 / 19 Matches |
| Wins in 12 mo. | 40.0% 12 / 30 Matches | 43.5% 10 / 23 Matches |
| Current rank | 673 | 968 |
Source: tennisstats.com
Profile and percentages (tennisstats)
| Su Jeong Jang | Anna Sedysheva | |
|---|---|---|
| Prize money (career) | $877,645 USD | $2,123 USD |
| Rating | 673 | 968 |
| Age | 31 | — |
Win percentage (match / set)
| Su Jeong Jang | Anna Sedysheva | |
|---|---|---|
| Match Wins | 40 % | 42 % |
| Match Wins (3 Sets) | 40 % | 42 % |
| Wins in Straight Sets | 20 % | 21 % |
| Wins From Behind | 18 % | 21 % |
| Won At Least 1 Set | 53 % | 53 % |
| Set 1 Win | 27 % | 26 % |
| Set 2 Win | 50 % | 47 % |
| Set 3 Win | 75 % | 80 % |
Source:tennisstats.com
Betting benchmarks (tennisstats)
Outcome percentages for totals and props: values for each player and a match-total column.
Total games
| Su Jeong Jang | Anna Sedysheva | Match total | |
|---|---|---|---|
| Average Games in a Set | 9.4 | 8.58 | 8.99 |
| Over 6.5 | 93 % | 79 % | 86 % |
| Over 7.5 | 80 % | 68 % | 74 % |
| Over 8.5 | 67 % | 37 % | 52 % |
| Over 9.5 | 40 % | 26 % | 33 % |
| Over 10.5 | 27 % | 16 % | 22 % |
| Over 11.5 | 27 % | 16 % | 22 % |
Tie-breaks
| Su Jeong Jang | Anna Sedysheva | Match total | |
|---|---|---|---|
| Tie Breaks Per Match | 0.2 | 0.21 | 0.21 |
| Over 0.5 | 20 % | 16 % | 18 % |
| Over 1.5 | 0 % | 5 % | 3 % |
| Under 0.5 | 80 % | 84 % | 18 % |
| Under 1.5 | 100 % | 95 % | 3 % |
Source:tennisstats.com
Sedysheva A face Jang Su Jeong on August 7, 2026 in the ITF Women - Singles: W15 Astana 4 (Kazakhstan), hard.
Below: team form, head-to-head history, bookmaker odds and the full PrognozAI AI breakdown.
Our model prediction (Glicko-2)
2 Jang Su Jeong — 52%
Model estimate: win Sedysheva A 48.2%, win Jang Su Jeong 51.8%. Model favourite — Jang Su Jeong.
Informational estimate, not a betting recommendation.
Math-model prediction
AI match prediction Sedysheva A - Jang Su Jeong August 7, 2026
Tennis math modelThe summary is built from our prematch context: line, form, lineups and Glicko.
- Win odds (market consensus): 1 5.20 / 2 1.10
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.Odds source: Leon line. This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.
Sedysheva A - Jang Su Jeong
V baze uchteny nedavnie matchi oboikh uchastnikov.
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.
Model = Glicko + Elo strength prior (heuristic, historical calibration in progress). Glicko48.2% · +Elo prior (weight0.57).
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
Outcome (1X2)
| Outcome | Leon |
|---|---|
| 5.20 19.2% | |
| 1.10 90.9% |
Full head-to-head historySedysheva A - Jang Su Jeong
Match history
Unlock the full match prediction
The Sedysheva A - Jang Su Jeong 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