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ITF Women - Singles: W35 Roehampton (Velikobritaniya), hard
ITF Women - Singles: W35 Roehampton (Velikobritaniya), hard

Korpanec Davies A - Visscher S J

✓ Prematch ready Prematch data Line Form H2H Prediction
Tennis ITF Women - Singles: W35 Roehampton (Velikobritaniya), hard
ITF Women - Singles: W35 Roehampton (Velikobritaniya), hard hard 06.08.2026 10:30 UTC Finished
06.08.2026 10:30 UTC Finished
K
Korpanec Davies A
Rank #393 Elo 164
68Average Form
W L L W L W W W
V
Visscher S J
Rank #722 Elo 56
46Struggling Form
W L W W L W W W
2:0
Coverage: hard
Preview

About the athletes

- Country -
#393 Rating #722
26 Age -
- Height (cm) -
- Weight (kg) -
- Hand -
- Seed -
hard Coverage hard
0 H2H 0

TennisStats: rating, form and serve/return

Stephanie Judith Visscher
Rank:393 Elo: 164
W L L W L W W W
Allegra Korpanec Davies
Rank:722 Elo: 56
W L W W L W W W
Elo favourite:Visscher S J (edge +108 Elo)

Hard

Stephanie Judith VisscherAllegra 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 VisscherAllegra 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 VisscherAllegra 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

Odds
P1 4.26 21.4% BetBoom
P2 1.16 78.6% BetBoom

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.

🎯 PropickAI prediction

Our model prediction (Glicko-2)

2 Visscher S J55%

1 · Korpanec Davies A45.5%
2 · Visscher S J54.5%

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 model

Based on the collected prematch data, the favourite looks like Visscher S J.

Line favourite market consensus: Visscher S J. We cross-check with Glicko and the math model below.
  • 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.
Winner bookmaker margin 8.5% 3 books · best price +2.7%
1 18.4%
2 81.6%

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

Match result
Korpanec Davies A
19%
5.00
Visscher S J
81%
1.16

Consensus probability with the bookmaker margin removed; the number on the right is the best available odds. For reference only, not a bet.

Match center
Start 06.08.2026 10:30 UTC
Market 1 18.8% @ 5.00 / 2 81.2% @ 1.16
Coverage hard
Form 4 matches
🥊 Humans vs Machines
📐 Math model Visscher S J 55%
💹 Market Visscher S J 82%
Every pick locked before kickoff · public log
Match center

Korpanec Davies A - Visscher S 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
Post-match / PropickAI database
Score 2:0
Events 0
Statistics 0
PropickAI check: math model and Glicko-2

We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.

Option Signal Prediction / actual Rating
Glicko-2: base favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 54.5% fact: home missed / ROI -100.0% / Brier 0.594 / LogLoss 0.788
Glicko-2: calibrated favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 50.5% fact: home missed / ROI -100.0% / Brier 0.511 / LogLoss 0.704
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
Korpanec Davies A 21.4% 47.4%
Visscher S J 78.6% 52.6% model more cautious than market
1X2: 1 Bookies

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).

Tennis math model
P1 / P2 45.5% / 54.5% probabilities
Rating 1,386 / 1,582 Korpanec Davies A / Visscher S J
RD 289 / 164 rating uncertainty
r +/- 2RD 808-1,963 / 1,253-1,911 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 1.14 market consensus · no value · model 54.5%
1 4.75 market consensus · weak value +116.0% · model 45.5%
Total
Over 19.5 1.82 market consensus · line only
Under 19.5 1.81 market consensus · 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 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%
Match center
Korpanec Davies A
L
21.07 12:30 UTC+0 ITF Women - Singles: W15 Nogent-sur-Marne (France), clay
Korpanec Davies A 0:2 Langlais C. 🇫🇷
0 Wins
1 Losses
0.0 Sets won
2.0 Sets lost
0% Win percentage
Visscher S J
L L W L W
29.07 12:30 UTC+0 ITF Women - Singles: W50 Dublin (Ireland), hard
Visscher S J 0:2 Pawlikowska Z. 🇵🇱
16.07 11:00 UTC+0 ITF Women - Singles: W75 Vitoria Gasteiz (Spain), hard
Visscher S J 0:2 Martinez Vaquero M. 🇪🇸Martinez Vaquero M. 🇪🇸
15.07 05:30 UTC+0 ITF Women - Singles: W75 Vitoria Gasteiz (Spain), hard
Visscher S J 2:1 Giaccio J. 🇪🇸
03.07 16:00 UTC+0 ITF Women - Singles: W50 Elvas (Portugal), hard
Visscher S J 1:2 Inue Khin. 🇺🇸Inue Khin. 🇺🇸
02.07 16:00 UTC+0 ITF Women - Singles: W50 Elvas (Portugal), hard
Visscher S J 2:0 Khavlichkova L. 🇨🇿
2 Wins
3 Losses
1.0 Sets won
1.4 Sets lost
40% Win percentage