ITF Men - Singles: M15 Rochester, NY 🇺🇸, clay
ITF Men - Singles: M15 Rochester, NY 🇺🇸, clay

Cox N. 🇺🇸 - Hamill Z. 🇦🇺

Tennis ITF Men - Singles: M15 Rochester, NY 🇺🇸, clay
ITF Men - Singles: M15 Rochester, NY 🇺🇸, clay clay 14.07.2026 22:00 MSK Finished
14.07.2026 22:00 MSK Finished
C
Cox N. 🇺🇸
H
Hamill Z. 🇦🇺
2:0
Odds
P1 1.05 86.6% BetBoom
P2 6.80 13.4% 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

Our model prediction (Glicko-2)

2 Hamill Z. 🇦🇺51%

1 · Cox N. 🇺🇸49.5%
2 · Hamill Z. 🇦🇺50.5%

Model estimate: win Cox N. 🇺🇸 49.5%, win Hamill Z. 🇦🇺 50.5%. Model favourite — Hamill Z. 🇦🇺.

Informational estimate, not a betting recommendation.

AI agent prediction

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

2Hamill Z. 🇦🇺 (odds6.80) confidence 32% ✗ outcome missed

Analytical AI-agent assessment, not a betting recommendation.

Math-model prediction

AI match prediction Cox N. 🇺🇸 - Hamill Z. 🇦🇺 14 июля 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Cox N. 🇺🇸.

Line favourite market consensus: Cox N. 🇺🇸. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 1.05 / 2 6.80
  • Glicko: Cox N. 🇺🇸 49.5% / Hamill Z. 🇦🇺 50.5%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner bookmaker margin 9.9%
1 86.6%
2 13.4%

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 14.07.2026 22:00 MSK
Coverage clay
Form 1 matches
Match center

Cox N. 🇺🇸 - Hamill Z. 🇦🇺

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
Line depth match data source checked
Present in data
Market Match Participants Line Overview
More needed
Form Championat, Flashscore
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
Cox N. 🇺🇸 86.6% 49.5% market favourite
Hamill Z. 🇦🇺 13.4% 50.5% Glicko-противоход
1X2: 1 Bookies

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

Tennis math model
P1 / P2 49.5% / 50.5% probabilities
Rating 1,387 / 1,500 Cox N. 🇺🇸 / Hamill Z. 🇦🇺
RD 294 / 350 rating uncertainty
r +/- 2RD 800-1,975 / 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 6.80 market consensus · weak value +243.6% · model 50.5%
1 1.05 market consensus · no value · model 49.5%

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

Outcome (1X2)

Outcome Leon
П1 1.05 95.2%
П2 6.80 14.7%
Match center
Cox N. 🇺🇸
L
10.06 17:30 UTC+0 ITF МУЖЧИНЫ - ОДИНОЧНЫЙ РАЗРЯД: M15 Los Angeles, CA (США), хард
Cox N. 🇺🇸 1:2 Zamora N. (Сша)Zamora N. (Сша)
0 Wins
1 Losses
1.0 Sets won
2.0 Sets lost
0% Win percentage
Hamill Z. 🇦🇺
L
10.06 17:30 UTC+0 ITF МУЖЧИНЫ - ОДИНОЧНЫЙ РАЗРЯД: M15 Los Angeles, CA (США), хард
Hamill Z. 🇦🇺 1:2 Zamora N. (Сша)Zamora N. (Сша)
0 Wins
1 Losses
1.0 Sets won
2.0 Sets lost
0% Win percentage