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World Tennis. Women. Finland
World Tennis. Women. Finland

Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช - Gailis R

✓ Prematch ready Prematch data Line Form H2H Prediction
Tennis World Tennis. Women. Finland
World Tennis. Women. Finland clay 06.08.2026 07:00 UTC Finished
06.08.2026 07:00 UTC Finished
V
Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช
25Very Bad Form
W L L L W L L W
G
Gailis R
Rank #900 Elo 32
46Struggling Form
L L L W L L W L
0:2
Coverage: clay
Preview

Extended stats (scorego)

Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช Gailis R
Win % 0% 63.6%
Hard % 0% 66.7%
Clay % 0% 50%
Grass % 0% 0%
Deciding set % 0% 52.6%
Tie-breaks % 0% 50%
Titles (total) 0 2
Last 10 L WLLWLLWLWW

Source: scorego-app.com

About the athletes

- Country -
- Rating #900
25 Age -
- Height (cm) -
- Weight (kg) -
- Hand -
- Seed -
clay Coverage clay
0 H2H 0

Serve and return stats

Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช Gailis R
Aces per match N/A 1.00
Double faults per match N/A 5
Breaks per match N/A 7.5

Source:tennisstats.com (per-match averages)

TennisStats: rating, form and serve/return

Vicky Van De Peer
W L L L W L L W
Rachel Gailis
Rank:900 Elo: 32
L L L W L L W L

Hard

Vicky Van De PeerRachel Gailis
Win Percentage 2026 Calendar Year N/A 0 / 0 Matches 50.0% 4 / 8 Matches
Win Percentage Last 12 Months N/A 0 / 0 Matches 45.5% 5 / 11 Matches
Aces Per Match N/A N/A
Most Aces in a match N/A N/A

Clay

Vicky Van De PeerRachel Gailis
Win Percentage 2026 Calendar Year 25.0% 1 / 4 Matches 33.3% 1 / 3 Matches
Win Percentage Last 12 Months 40.0% 4 / 10 Matches 25.0% 1 / 4 Matches
Aces Per Match N/A 1.00
Most Aces in a match N/A 0 %

Grass

Vicky Van De PeerRachel Gailis
Win Percentage 2026 Calendar Year N/A 0 / 0 Matches N/A 0 / 0 Matches
Win Percentage Last 12 Months N/A 0 / 0 Matches N/A 0 / 0 Matches
Aces Per Match N/A N/A
Most Aces in a match N/A N/A

Source:tennisstats.com

H2H series (tennisstats)

Vicky Van De Peer Rachel Gailis
H2H wins 0 (0%) 0 (0%)
Sets 0 (0%) 0 (0%)
Wins this year 25.0% 1 / 4 Matches 46.2% 6 / 13 Matches
Wins in 12 mo. 40.0% 4 / 10 Matches 41.2% 7 / 17 Matches
Current rank - 900

Source: tennisstats.com

Profile and percentages (tennisstats)

Vicky Van De Peer Rachel Gailis
Prize money (career) $27,853 USD $17,649 USD
Rating โ€” 900
Age 25 โ€”

Win percentage (match / set)

Vicky Van De Peer Rachel Gailis
Match Wins 25 % 46 %
Match Wins (3 Sets) 25 % 45 %
Wins in Straight Sets 25 % 31 %
Wins From Behind 0 % 22 %
Won At Least 1 Set 25 % 54 %
Set 1 Win 25 % 38 %
Set 2 Win 25 % 46 %
Set 3 Win N/A 67 %

Source:tennisstats.com

Betting benchmarks (tennisstats)

Outcome percentages for totals and props: values for each player and a match-total column.

Total games

Vicky Van De Peer Rachel Gailis Match total
Average Games in a Set 10.25 8.62 9.44
Over 6.5 100 % 91 % 96 %
Over 7.5 100 % 82 % 91 %
Over 8.5 100 % 55 % 78 %
Over 9.5 50 % 18 % 34 %
Over 10.5 25 % 9 % 17 %
Over 11.5 25 % 9 % 17 %

Aces

Vicky Van De Peer Rachel Gailis Match total
Aces Per Match N/A 1.00 N/A
Most Aces in a match N/A 0 % N/A
1+ N/A 100 % N/A
2+ N/A 0 % N/A
3+ N/A 0 % N/A
4+ N/A 0 % N/A
5+ N/A 0 % N/A

Breaks

Vicky Van De Peer Rachel Gailis Match total
Breaks Per Match N/A 7.5 N/A
Over 0.5 N/A 100 % N/A
Over 1.5 N/A 100 % N/A
Over 2.5 N/A 100 % N/A
Over 3.5 N/A 0 % N/A
Over 4.5 N/A 0 % N/A
Over 5.5 N/A 0 % N/A

Tie-breaks

Vicky Van De Peer Rachel Gailis Match total
Tie Breaks Per Match 0.5 0 0.25
Over 0.5 50 % 0 % 25 %
Over 1.5 0 % 0 % 0 %
Under 0.5 50 % 100 % 25 %
Under 1.5 100 % 100 % 0 %

Double faults

Vicky Van De Peer Rachel Gailis Match total
Double Faults Per Match N/A 5 N/A
Over 0.5 (1+) N/A 100 % N/A
Over 1.5 (2+) N/A 100 % N/A
Over 2.5 (3+) N/A 100 % N/A
Over 3.5 (4+) N/A 100 % N/A
Over 4.5 (5+) N/A 100 % N/A
Over 5.5 (6+) N/A 0 % N/A

Source:tennisstats.com

Odds
P1 3.30 29.2% BetBoom
P2 1.36 70.8% BetBoom

Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช go head-to-head with Gailis R on August 6, 2026 in the World Tennis. Women. Finland.

Recent form (W-D-L): Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช 1-0-0, Gailis R 1-0-0. PrognozAI's Glicko-2 model gives the home side 33% to win. Scroll down for team stats, head-to-head record, odds and the PrognozAI AI pick.

๐ŸŽฏ PropickAI prediction
Medium confidence

Our model prediction (Glicko-2)

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

2 Gailis R โ€” 67%

Pure model vs market (2 ยท Gailis R): model 43% ยท market 70% ฮ” โˆ’27 pp model estimates below the market

1 ยท Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช33.0%
market30%
2 ยท Gailis R ✓ Pick67.0%
market70%

Model estimate: win Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช 33.0%, win Gailis R 67.0%. Model favourite โ€” Gailis R.

Informational estimate, not a betting recommendation.

AI agent prediction

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

2Gailis R (odds1.32) Score 1:2 confidence 67% โœ“ outcome correct
  • Van De Per V
  • ๐Ÿ‡ง๐Ÿ‡ช โ€” Gaylis R
  • ๐Ÿ‡บ๐Ÿ‡ธ (tennis)
  • Van De Per V
  • ๐Ÿ‡ง๐Ÿ‡ช: forma VP (1)
  • Gaylis R
  • ๐Ÿ‡บ๐Ÿ‡ธ: forma VPVV (3-1)
  • Model backs Gaylis R
  • ๐Ÿ‡บ๐Ÿ‡ธ: probability 67% vs 76% on the line (odds 1.32)
  • no edge over the line (-9 pp) โ€” informational only.

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช - Gailis R August 6, 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Gailis R.

Line favourite market consensus: Gailis R. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 3.40 / 2 1.36
  • Glicko: Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช 33.0% / Gailis R 67.0%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin โ€” for reference, not a betting recommendation.
Winner bookmaker margin 8.0% 5 books ยท best price +2.3%
1 30.4%
2 ✓ Pick 69.6%

Odds source: consensus of 5 books (Baltbet, Betcity, Kambi BetMGM, Kambi Unibet, Leon). This is the fair probability after removing the bookmaker margin from the odds โ€” reference information, not a prediction or a betting recommendation.

%

Market consensus

Forecast by market

Match result
Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช
30%
3.40
Gailis R
70%
1.36
Total
Over 20.5
47%
1.94
Under 20.5
53%
1.75

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 07:00 UTC
Market 1 28.6% @ 3.40 / 2 71.4% @ 1.36
Coverage clay
Form 5 matches
๐ŸฅŠ Humans vs Machines
๐Ÿ“ Math model Gailis R 67%
๐Ÿ’น Market Gailis R 70%
Every pick locked before kickoff ยท public log
Match center

Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช - Gailis R

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 1/1 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 0:2
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 - 67.0% fact: away hit / ROI 36.0% / Brier 0.218 / LogLoss 0.401
Glicko-2: calibrated favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage away - 52.0% fact: away hit / ROI 36.0% / Brier 0.460 / LogLoss 0.653
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
Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช 30.4% 33.0%
Gailis R 69.6% 67.0% market and model agree
1X2: 5 Bookies

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

Tennis math model
P1 / P2 33.0% / 67.0% probabilities
Rating 1,712 / 1,589 Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช / Gailis R
RD 251 / 198 rating uncertainty
r +/- 2RD 1,211-2,214 / 1,193-1,986 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 1.32 market consensus ยท no value ยท model 67.0%
1 3.07 market consensus ยท no value ยท model 33.0%
Total
Over 19.5 1.74 market consensus ยท line only
Over 20.5 1.93 market consensus ยท 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 Leon
1.84 54.4% 1.83 54.6% 1.82 55.0%
1.84 54.4% 1.87 53.5% 1.82 55.0%

Total

Outcome Baltbet Betcity Leon
Over 19.5 1.75 57.1% 1.73 57.8%
Over 20.5 1.94 51.6% 1.92 52.1%
Under 19.5 1.97 50.8% 1.92 52.1%
Under 20.5 1.75 57.1% 1.72 58.1%

Outcome (1X2)

Outcome Baltbet Betcity Kambi BetMGM Kambi Unibet Leon
2.90 34.5% 3.40 29.4% 3.05 32.8% 3.05 32.8% 2.97 33.7%
1.36 73.5% 1.28 78.1% 1.33 75.2% 1.33 75.2% 1.31 76.3%
Match center
Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช
W
05.08 07:00 UTC ITF Women - Singles: W15 Hameenlinna (Finland), clay
Van De Per V. ๐Ÿ‡ง๐Ÿ‡ช 2:0 Stagno B. ๐Ÿ‡ฎ๐Ÿ‡น
1 Wins
0 Losses
2.0 Sets won
0.0 Sets lost
100% Win percentage
Gailis R
W
05.08 07:00 UTC ITF Women - Singles: W15 Hameenlinna (Finland), clay
Gailis R 2:0 Korhonen C. ๐Ÿ‡ซ๐Ÿ‡ฎ
1 Wins
0 Losses
2.0 Sets won
0.0 Sets lost
100% Win percentage