Challenger Women - Singles: Kitzbuhel (Austria), clay
Challenger Women - Singles: Kitzbuhel (Austria), clay

Graber D. 🇦🇹 - Perelygina E. 🇦🇹

Tennis Challenger Women - Singles: Kitzbuhel (Austria), clay
Challenger Women - Singles: Kitzbuhel (Austria), clay clay 15.07.2026 10:00 MSK Finished
15.07.2026 10:00 MSK Finished
Graber D. 🇦🇹
Graber D. 🇦🇹
W
Perelygina E. 🇦🇹
Perelygina E. 🇦🇹
W
2:0
Odds
P1 1.11 84.4% BetBoom
P2 6.00 15.6% BetBoom
Coverage: clay
Preview Statistics Broadcast Comments

About the athletes

- Country -
- Rating -
- Age -
- Height (cm) -
- Weight (kg) -
- Hand -
- Seed -
clay Coverage clay
0 H2H 0
🎯 PropickAI prediction
Medium confidence

Our model prediction (Glicko-2)

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

1 Graber D. 🇦🇹80%

Pure model vs market (1 · Graber D. 🇦🇹): model 49% · market 84% Δ −35 pp model estimates below the market

1 · Graber D. 🇦🇹 ✓ Прогноз80.5%
market84%
2 · Perelygina E. 🇦🇹19.5%
market16%

Model estimate: win Graber D. 🇦🇹 80.5%, win Perelygina E. 🇦🇹 19.5%. Model favourite — Graber D. 🇦🇹.

Informational estimate, not a betting recommendation.

AI agent prediction

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

1Graber D. 🇦🇹 (odds1.11) confidence 68% ✓ outcome correct

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Graber D. 🇦🇹 - Perelygina E. 🇦🇹 15 июля 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Graber D. 🇦🇹.

Line favourite Fonbet: Graber D. 🇦🇹. We cross-check with Glicko and the math model below.
  • Win odds (Fonbet): 1 1.09 / 2 5.60
  • Glicko: Graber D. 🇦🇹 80.5% / Perelygina E. 🇦🇹 19.5%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 9.6%
1 ✓ Прогноз 83.7%
2 16.3%

Odds source: Fonbet. This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.

For reference

Line movement

How the odds changed from opening to the current line — for reference, not a betting recommendation.
Победитель П1 1.16 ↓ 1.09
Победитель П2 4.40 ↑ 5.80

↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.

Head-to-head and form stats

Head-to-head and form

Team form

Graber D. 🇦🇹
4-6LWLLWWLWLL
scored 0.9conceded 1.3
Perelygina E. 🇦🇹

no data

Head-to-head and recent form per sports statistics — for reference.

Match center
Start 15.07.2026 10:00 MSK
Coverage clay
Form 4 matches
Match center

Graber D. 🇦🇹 - Perelygina E. 🇦🇹

В базе учтены недавние матчи обоих участников.

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
Bookiesapi match data source checked
Line depth match data source checked
Present in data
Market Form Match Participants Line Movement Overview
More needed
H2H Championat, Flashscore
Tournament Championat, Flashscore
Post-match / PropickAI database
Score 2:0
Events 0
Statistics 0
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
Graber D. 🇦🇹 83.9% 80.5% market and model agree
Perelygina E. 🇦🇹 16.1% 19.5%
1X2: 4 Bookies

Glicko-2 - рейтинговая модель силы: сравнивает линию, историю и стабильность, но не дает гарантий.

Tennis math model
P1 / P2 80.5% / 19.5% probabilities
Rating 1,518 / 1,665 Graber D. 🇦🇹 / Perelygina E. 🇦🇹
RD 192 / 270 rating uncertainty
r +/- 2RD 1,134-1,902 / 1,126-2,204 strength interval
HFA: 0 HFA mu: 0.000 MoV: on N: N=1 P: two_way_glicko2_expected_score

Best value: value не найден

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 5.60 Fonbet · no value · model 19.5%
1 1.09 Fonbet · no value · model 80.5%
Total
Over 16.5 1.40 Fonbet · line only
Over 17.5 1.65 Fonbet · 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

Открыть на Fonbet →
bookmaker line and markets

Handicap

Outcome Baltbet Betcity Fonbet Leon
П1 -4.5 1.32 75.8%
П1 -5.5 1.76 56.8% 1.80 55.6% 1.52 65.8%
П1 -6.5 1.94 51.6% 1.90 52.6% 1.95 51.3%
П1 -7.5 2.65 37.7%
П2 +5.5 1.97 50.8% 1.90 52.6% 1.93 51.8%
П2 +6 1.90 52.6%
П2 +6.5 1.79 55.9% 1.80 55.6%
П2 -4.5 3.10 32.3%
П2 -5.5 2.35 42.6%
П2 -6.5 1.75 57.1%
П2 -7.5 1.42 70.4%

Total

Outcome Baltbet Betcity Fonbet
ТБ 16.5 1.40 71.4%
ТБ 17.5 1.65 60.6%
ТБ 18.5 1.91 52.4% 1.92 52.1% 1.88 53.2%
ТБ 19.5 1.97 50.8% 1.96 51.0% 2.25 44.4%
ТБ 20.5 2.60 38.5%
ТМ 16.5 2.75 36.4%
ТМ 17.5 2.10 47.6%
ТМ 18.5 1.81 55.3% 1.79 55.9% 1.82 55.0%
ТМ 19.5 1.76 56.8% 1.75 57.1% 1.57 63.7%
ТМ 20.5 1.45 69.0%

Outcome (1X2)

Outcome Baltbet Betcity Fonbet Leon
П1 1.11 90.1% 1.09 91.7% 1.09 91.7% 1.11 90.1%
П2 5.70 17.5% 6.00 16.7% 5.60 17.9% 5.40 18.5%
Match center
Graber D. 🇦🇹
W
13.07 10:00 МСК Challenger Women - Singles: Kitzbuhel (Austria), clay
Graber D. 🇦🇹 2:1 Bertea E. R. 🇷🇴
1 Wins
0 Losses
2.0 Sets won
1.0 Sets lost
100% Win percentage
Perelygina E. 🇦🇹
W
13.07 11:30 МСК Challenger Women - Singles: Kitzbuhel (Austria), clay
Perelygina E. 🇦🇹 2:1 Kabbaj Y. 🇲🇦
1 Wins
0 Losses
2.0 Sets won
1.0 Sets lost
100% Win percentage