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ITF Men - Singles: M25 Brisbane (Australia), hard
ITF Men - Singles: M25 Brisbane (Australia), hard
15.07.2026 04:30 MSK Match prediction

O'Connell B. 🇦🇺 - Dong Ch. 🇦🇺

Tennis ITF Men - Singles: M25 Brisbane (Australia), hard
ITF Men - Singles: M25 Brisbane (Australia), hard hard 15.07.2026 04:30 MSK Finished
15.07.2026 04:30 MSK Finished
O
O'Connell B. 🇦🇺
D
Dong Ch. 🇦🇺
2:0
Odds
P1 1.66 55.9% BetBoom
P2 2.10 44.2% BetBoom
Coverage: hard
Preview Statistics Broadcast Comments

About the athletes

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

Our model prediction (Glicko-2)

1 O'Connell B. 🇦🇺 — 55%

Pure model vs market (1 · O'Connell B. 🇦🇺): model 50% · market 56% Δ −6 pp model estimates below the market

1 · O'Connell B. 🇦🇺 ✓ Прогноз55.1%
2 · Dong Ch. 🇦🇺44.9%

Model estimate: win O'Connell B. 🇦🇺 55.1%, win Dong Ch. 🇦🇺 44.9%. Model favourite — O'Connell B. 🇦🇺.

Informational estimate, not a betting recommendation.

AI agent prediction

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

1O'Connell B. 🇦🇺 (odds1.66) confidence 53% ✓ outcome correct

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction O'Connell B. 🇦🇺 - Dong Ch. 🇦🇺 15 июля 2026

Tennis math model

Based on the collected prematch data, the favourite looks like O'Connell B. 🇦🇺.

Line favourite market consensus: O'Connell B. 🇦🇺. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 1.66 / 2 2.10
  • Glicko: O'Connell B. 🇦🇺 55.1% / Dong Ch. 🇦🇺 44.9%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 7.9%
1 ✓ Прогноз 55.9%
2 44.1%

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

Match center
Start 15.07.2026 04:30 MSK
Coverage hard
Form 3 matches
Match center

O'Connell B. 🇦🇺 - Dong Ch. 🇦🇺

В базе учтены недавние матчи обоих участников.

Form 4/3 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
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
O'Connell B. 🇦🇺 55.6% 55.1% market and model agree
Dong Ch. 🇦🇺 44.4% 44.9%
1X2: 2 Bookies

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

Tennis math model
P1 / P2 55.1% / 44.9% probabilities
Rating 1,540 / 1,500 O'Connell B. 🇦🇺 / Dong Ch. 🇦🇺
RD 205 / 350 rating uncertainty
r +/- 2RD 1,129-1,950 / 800-2,200 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 2.07 market consensus · no value · model 44.9%
1 1.65 market consensus · no value · model 55.1%
Total
Over 20.5 1.76 market consensus · line only
Over 21.5 1.94 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 Betcity Leon
П1 -1.5 1.80 55.6% 1.78 56.2%
П2 +1.5 1.90 52.6% 1.85 54.1%

Total

Outcome Betcity Leon
ТБ 20.5 1.76 56.8% —
ТБ 21.5 1.96 51.0% 1.91 52.4%
ТМ 20.5 1.95 51.3% —
ТМ 21.5 1.75 57.1% 1.74 57.5%

Outcome (1X2)

Outcome Betcity Leon
П1 1.66 60.2% 1.64 61.0%
П2 2.10 47.6% 2.04 49.0%
Match center
O'Connell B. 🇦🇺
L L W W
08.07 17:00 UTC+0 ITF МУЖЧИНЫ - ОДИНОЧНЫЙ РАЗРЯД: M15 Rancho Santa Fe, CA (США), хард
O'Connell B. 🇦🇺 1:2 Zamora N. (Сша)Zamora N. (Сша)
12.06 18:00 UTC+0 ITF МУЖЧИНЫ - ОДИНОЧНЫЙ РАЗРЯД: M15 Los Angeles, CA (США), хард
O'Connell B. 🇦🇺 0:2 Джонсон А. (Сша)
11.06 18:00 UTC+0 ITF МУЖЧИНЫ - ОДИНОЧНЫЙ РАЗРЯД: M15 Los Angeles, CA (США), хард
O'Connell B. 🇦🇺 2:0 Kriznik M. (Слн)
09.06 21:00 UTC+0 ITF МУЖЧИНЫ - ОДИНОЧНЫЙ РАЗРЯД: M15 Los Angeles, CA (США), хард
O'Connell B. 🇦🇺 2:0 Kleege W. (Сша)
2 Wins
2 Losses
1.3 Sets won
1.0 Sets lost
50% Win percentage
Dong Ch. 🇦🇺
L L W
08.07 17:00 UTC+0 ITF МУЖЧИНЫ - ОДИНОЧНЫЙ РАЗРЯД: M15 Rancho Santa Fe, CA (США), хард
Dong Ch. 🇦🇺 1:2 Zamora N. (Сша)Zamora N. (Сша)
12.06 18:00 UTC+0 ITF МУЖЧИНЫ - ОДИНОЧНЫЙ РАЗРЯД: M15 Los Angeles, CA (США), хард
Dong Ch. 🇦🇺 0:2 Джонсон А. (Сша)
11.06 18:00 UTC+0 ITF МУЖЧИНЫ - ОДИНОЧНЫЙ РАЗРЯД: M15 Los Angeles, CA (США), хард
Dong Ch. 🇦🇺 2:0 Kriznik M. (Слн)
1 Wins
2 Losses
1.0 Sets won
1.3 Sets lost
33% Win percentage