Korpanec Davies A - Visscher S J
About the athletes
TennisStats: rating, form and serve/return
Hard
| Stephanie Judith Visscher | Allegra Korpanec Davies | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 67.5% 27 / 40 Matches | 42.9% 6 / 14 Matches |
| Win Percentage Last 12 Months | 64.7% 33 / 51 Matches | 35.3% 6 / 17 Matches |
| Aces Per Match | N/A | N/A |
| Most Aces in a match | N/A | N/A |
Clay
| Stephanie Judith Visscher | Allegra Korpanec Davies | |
|---|---|---|
| Win Percentage 2026 Calendar Year | N/A 0 / 0 Matches | 50.0% 6 / 12 Matches |
| Win Percentage Last 12 Months | 25.0% 2 / 8 Matches | 45.5% 10 / 22 Matches |
| Aces Per Match | N/A | N/A |
| Most Aces in a match | N/A | N/A |
Grass
| Stephanie Judith Visscher | Allegra Korpanec Davies | |
|---|---|---|
| Win Percentage 2026 Calendar Year | N/A 0 / 0 Matches | 50.0% 1 / 2 Matches |
| Win Percentage Last 12 Months | N/A 0 / 0 Matches | 50.0% 1 / 2 Matches |
| Aces Per Match | N/A | N/A |
| Most Aces in a match | N/A | N/A |
Source:tennisstats.com
H2H series (tennisstats)
| Stephanie Judith Visscher | Allegra Korpanec Davies | |
|---|---|---|
| H2H wins | 0 (0%) | 0 (0%) |
| Sets | 0 (0%) | 0 (0%) |
| Wins this year | 67.5% 27 / 40 Matches | 46.4% 13 / 28 Matches |
| Wins in 12 mo. | 59.3% 35 / 59 Matches | 41.5% 17 / 41 Matches |
| Current rank | 393 | 722 |
Source: tennisstats.com
Profile and percentages (tennisstats)
| Stephanie Judith Visscher | Allegra Korpanec Davies | |
|---|---|---|
| Prize money (career) | $81,937 USD | $1,215 USD |
| Rating | 393 | 722 |
| Age | 26 | — |
Win percentage (match / set)
| Stephanie Judith Visscher | Allegra Korpanec Davies | |
|---|---|---|
| Match Wins | 68 % | 46 % |
| Match Wins (3 Sets) | 68 % | 46 % |
| Wins in Straight Sets | 48 % | 39 % |
| Wins From Behind | 32 % | 6 % |
| Won At Least 1 Set | 78 % | 61 % |
| Set 1 Win | 63 % | 57 % |
| Set 2 Win | 63 % | 43 % |
| Set 3 Win | 67 % | 33 % |
Source:tennisstats.com
Betting benchmarks (tennisstats)
Outcome percentages for totals and props: values for each player and a match-total column.
Total games
| Stephanie Judith Visscher | Allegra Korpanec Davies | Match total | |
|---|---|---|---|
| Average Games in a Set | 9.05 | 9.25 | 9.15 |
| Over 6.5 | 90 % | 89 % | 90 % |
| Over 7.5 | 70 % | 79 % | 75 % |
| Over 8.5 | 55 % | 57 % | 56 % |
| Over 9.5 | 40 % | 39 % | 40 % |
| Over 10.5 | 20 % | 25 % | 23 % |
| Over 11.5 | 20 % | 25 % | 23 % |
Tie-breaks
| Stephanie Judith Visscher | Allegra Korpanec Davies | Match total | |
|---|---|---|---|
| Tie Breaks Per Match | 0.18 | 0.21 | 0.19 |
| Over 0.5 | 18 % | 18 % | 18 % |
| Over 1.5 | 0 % | 4 % | 2 % |
| Under 0.5 | 83 % | 82 % | 18 % |
| Under 1.5 | 100 % | 96 % | 2 % |
Source:tennisstats.com
Korpanec Davies A take on Visscher S J on August 6, 2026 in the ITF Women - Singles: W35 Roehampton (Velikobritaniya), hard.
PrognozAI's Glicko-2 model gives the home side 45% to win. Full analysis — form, H2H, odds and the PrognozAI AI prediction — follows on this page.
Our model prediction (Glicko-2)
2 Visscher S J — 55%
Model estimate: win Korpanec Davies A 45.5%, win Visscher S J 54.5%. Model favourite — Visscher S J.
Informational estimate, not a betting recommendation.
Math-model prediction
AI match prediction Korpanec Davies A - Visscher S J August 6, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Visscher S J.
- Win odds (market consensus): 1 5.00 / 2 1.16
- Glicko: Korpanec Davies A 45.5% / Visscher S J 54.5%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.Odds source: consensus of 3 books (Kambi BetMGM, Kambi Unibet, Leon). This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.
Market consensus
Forecast by market
Consensus probability with the bookmaker margin removed; the number on the right is the best available odds. For reference only, not a bet.
Korpanec Davies A - Visscher S J
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.
Model = Glicko + Elo strength prior (heuristic, historical calibration in progress). Glicko45.5% · +Elo prior (weight0.56).
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 | Leon |
|---|---|
| 1.76 56.8% | |
| 1.88 53.2% |
Total
| Outcome | Leon |
|---|---|
| Over 19.5 | 1.82 55.0% |
| Under 19.5 | 1.81 55.3% |
Outcome (1X2)
| Outcome | Kambi BetMGM | Kambi Unibet | Leon |
|---|---|---|---|
| 5.00 20.0% | 5.00 20.0% | 4.25 23.5% | |
| 1.13 88.5% | 1.13 88.5% | 1.16 86.2% |
Martinez Vaquero M. 🇪🇸
Inue Khin. 🇺🇸
Full head-to-head historyKorpanec Davies A - Visscher S J
Match history
Unlock the full match prediction
The Korpanec Davies A - Visscher S J 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