ATP Tour
ATP World Ranking - 107 pts
⚙️ Grinder
Wears opponents down with relentless consistency and deep margins. Doesn't flash the most winners but rarely misses, extending rallies until the opponent cracks under pressure.
Strong against
Weak against
Age
22
Height
6'1" (185 cm)
Weight
77 kg (170 lbs)
Plays
Right-Handed, Two-Handed BH
Career-High Ranking
#458 (2025-11-17)
16
Wins
10
Losses
61.5%
Win %
0
Titles
Career record broken down by surface
| Year | Summary | Clay | Hard | Grass |
|---|---|---|---|---|
| 2026 | 6/5 | - | 6/5 | - |
| 2025 | 10/5 | 0/1 | 10/4 | - |
| Career | 16/10 | 0/1 | 16/9 | - |
Averages · Last 90 days (10 matches)
Serve
Return
Rally
Last 10 results
| Date | Tournament | Round | Opponent | Surface | Score | Result |
|---|---|---|---|---|---|---|
| Jun 1, 2026 | Texas Spine and Joint Men's Championship | 1st Round Qualifying | Karl Poling | Hard | 76 36 46 | L |
| May 30, 2026 | UAMS Health Little Rock Open | Quarterfinals | Justin Boulais | Hard | 62 36 57 | L |
| May 29, 2026 | UAMS Health Little Rock Open | Round of 16 | Fajing Sun | Hard | 62 62 | W |
| May 26, 2026 | UAMS Health Little Rock Open | Round of 32 | Mitchell Krueger | Hard | 62 63 | W |
| May 3, 2026 | UAMS Health Little Rock Open | 2nd Round Qualifying | Henry Searle | Hard | 67 26 | L |
| May 2, 2026 | UAMS Health Little Rock Open | 1st Round Qualifying | Karl Poling | Hard | 76 76 | W |
| Mar 12, 2026 | Arizona Tennis Classic | Round of 16 | Marcos Giron | Hard | 57 64 67 | L |
| Mar 11, 2026 | Arizona Tennis Classic | Round of 32 | Stefan Kozlov | Hard | 62 46 63 | W |
| Mar 10, 2026 | Arizona Tennis Classic | 2nd Round Qualifying | Leandro Riedi | Hard | 16 64 63 | W |
| Mar 9, 2026 | Arizona Tennis Classic | 1st Round Qualifying | Taro Daniel | Hard | 64 75 | W |
UAMS Health Little Rock Open
Jay Friend is currently ranked #436 in the ATP singles rankings with 107 points.
Jay Friend (ATP #436) has a career win-loss record of 16-10 (61.5% win rate) and has won 0 ATP titles.
Smashrs tracks Jay's upcoming matches with AI-powered predictions across six independent models. Our confidence score reflects the degree of agreement between models - a higher score means stronger consensus. Check back before each match for the latest prediction.
