Charles Broom vs Oscar Weightman Head-to-Head Stats, Results & Performance Comparison
Wojtek Kolan
Published on 07 Aug at 12:06 PM UTC
HEAD TO HEAD
C. Broom vs O. Weightman

GBR
1
Win
Played
2
Win

GBR
1
Win
Played
2
Win
Head-to-head: Broom 1 - 2 Weightman
They have played 7 sets in total, with Charles Broom winning 2 and Oscar Weightman winning 5. The last match between Oscar Weightman and Charles Broom was at the M25 Roehampton, 07-08-2025, Round: R2, Surface: Hard, with Oscar Weightman getting the victory 7-6(4) 6-4.
| Players | Head To Head Match Wins |
|---|---|
| Broom | 1 |
| Weightman | 2 |
Last 3 H2H Matches:
(R2) M25 Roehampton(08-07-25)
(R2) M25 Nottingham(04-21-22)
(Q3) M25 Shrewsbury(02-07-22)
C. Broom vs O. Weightman H2H Profile
| Stats | ||
|---|---|---|
| $39,970 | Career Prize Money | $0 |
| 62.03% (263-161) | Career Total W/L | 51.93% (94-87) |
| 0 | Hard | 2 |
| 1 | Indoor | 0 |
| 8 | Titles | 2 |
| 1 | Total H2H Matches | 2 |
| 0% (0-0) | YTD Win/Loss | 0% (0-0) |
C. Broom vs O. Weightman Match Preview:
- On second serve performance, Weightman has a slight edge, winning 44.98% of points compared to Broom's 44.61%. Could this be a key factor in the match outcome? Indeed, as such stats often align with match predictions.
- When it comes to return game stats, Broom outperforms Weightman by securing 44.48% of points on opponent's second serves versus Weightman’s 43.68%. Does this advantage favor Broom? Not entirely, Weightman demonstrates a stronger capacity to convert breakpoints.
- In first serve return successes, Broom leads with 27.3% compared to Weightman’s 22.06%. How significant is this? It could give Broom an edge in countering strong serves.
- Under pressure, Broom excels by saving 56.64% of breakpoints, whereas Weightman saves 51.56%. Is this decisive? It could play a role in critical game situations.
- Performance-wise, Weightman wins 58.82% of their matches compared to Broom’s 53.85% over the last year. Who appears stronger? Weightman, with a slight win rate advantage.
- Considering surface preferences, Weightman's strength lies on Hard courts (54% win rate), whereas Broom excels on Clay (67% win rate).
- When analyzing player levels, Weightman competes primarily in Challengers/ITF > $10K with a 58.33% win rate, while Broom participates mostly in Futures/ITF $10K events, maintaining a 75% win rate. Could Broom's experience at this level provide an unseen advantage?
- Their direct head-to-head stands at 1-all, but Weightman slightly edges out in terms of sets won (3 to Broom's 2).
- Extremely tight matches favor Weightman in tie-breaks, winning the only one played against Broom.
- Weightman surpasses Broom in converting 47.06% of breakpoints, a noteworthy statistic for strategic moments in the game.
- Regarding opponent quality over the past year, Broom competitively engaged with higher-ranked players (average rank 351.71) than Weightman (average rank 404.18). Would this imply Broom is better prepared for tough matches? Potentially, albeit Broom faces challenges in final set scenarios.
- If the match extends into a deciding set, Weightman shows considerable strength, winning 75% of such instances compared to Broom's 38%.
Editorial Prediction (August 7, 2025, UTC):
In analyzing their recent performances, Weightman demonstrates a slight superiority in second serve efficiency, breakpoint conversion, and overall match victories in the past year. These elements could be pivotal in tight moments during the match.
Broom’s capacity to handle high-pressure situations, evidenced by a better breakpoint save percentage and experience against stronger opponents, may provide resilience. However, it is Weightman’s superior performance in deciding sets that could tilt the scales in their favor.
While each player has strengths that could turn any match, the factors point towards Weightman having a marginal edge in this upcoming battle. Considering all aspects, Weightman is more likely to emerge as the winner in this matchup.
Charles Broom vs Oscar Weightman Editorial Preview By TennisTipster88.
C. Broom vs O. Weightman H2H Stats Used In Our Predictions
| Stats | ||
|---|---|---|
| 1 | H2H Matches Won | 2 |
| 2 | Sets Won | 5 |
| 38 | Games Won | 40 |
| 6 | Aces (Total) | 24 |
| 9 | Total Double Faults | 10 |
| 1:53:3 | Average Match Time | 1:53:3 |
| 62% (126/203) | 1st Serve % | 58% (124/215) |
| 67% (85/126) | 1st Serve Win % | 70% (87/124) |
| 48% (37/77) | 2nd Serve Win % | 54% (49/91) |
| 36% (5/14) | Break Pts Won % | 47% (7/15) |
| 37% (79/215) | Return Points Win % | 40% (81/203) |
| 33% (1/3) | Best‑of‑3 Win % | 67% (2/3) |
| 100% (1/1) | Deciding Set Win % | 0% (0/1) |
| 0% (0/0) | 1st Set Won, Won Match | 67% (2/3) |
| 0% (0/0) | 1st Set Won, Lost Match | 33% (1/3) |
| 33% (1/3) | 1st Set Lost, Won Match | 0% (0/0) |
Recent Performance Stats
C. Broom Recent Matches Played
| OPPONENT | RESULT | SCORE | H2H | |
|---|---|---|---|---|
SF | L | 6-7(3) 6-3 6-3 | ||
QF | W | 6-3 1-6 6-1 | ||
R2 | W | 2-6 6-4 6-2 | ||
R1 | W | 6-3 6-2 | ||
R1 | L | 6-4 1-6 7-6(4) | ||
O. Weightman Recent Matches Played
| OPPONENT | RESULT | SCORE | H2H | |
|---|---|---|---|---|
F | W | 6-4 3-6 6-3 | ||
SF | W | 6-3 6-0 | ||
QF | W | 6-3 7-5 | ||
R2 | W | 1-6 6-3 6-0 | ||
R1 | W | 6-3 6-1 | ||

C. Broom vs O. Weightman Stats Breakdown Vs All H2H Opponents
| Stats | ||
|---|---|---|
| 62.03% (263/161) | YTD Win/Loss | 51.93% (94/87) |
| 59.50% (592/403) | Sets Win/Loss | 52.97% (214/190) |
| 53.96% (5067/4324) | Games Win/Loss | 51.47% (1931/1821) |
| 65.99% (130/67) | Hard Win/Loss | 55.56% (70/56) |
| 66.67% (44/22) | Clay Win/Loss | 28.57% (2/5) |
| 56.14% (64/50) | Indoor Hard W/L | 48.48% (16/17) |
| 53.19% (25/22) | Grass Win/Loss | 40.00% (6/9) |
| 0.39 | Aces Per Game | 0.29 |
| 1782 | Aces Total | 537 |
| 0.23 | Double Faults Per Game | 0.24 |
| 1043 | Total Double Faults | 431 |
| 1:28:8 | Average Match Time | 1:17:37 |
| 384.67 | Average Opponent Rank | 381.88 |
| 62% (15349/24711) | 1st Serve % | 57% (5088/8899) |
| 70% (10745/15349) | 1st Serve Win % | 70% (3557/5088) |
| 51% (4729/9361) | 2nd Serve Win % | 47% (1778/3812) |
| 41% (1116/2700) | Break Points Won % (Total) | 44% (387/885) |
| 41% (10743/26234) | Return Points Win % | 40% (3536/8880) |
| 25.00% (1/3) | Slam W/L | 0% (0/0) |
| 20.00% (1/4) | Main Tour W/L | 0% (0/0) |
| 45.38% (54/65) | Challenger W/L | 44.44% (8/10) |
| 69.93% (207/89) | Futures W/L | 52.76% (86/77) |
| 62% (261/421) | Best of 3 Sets Win % | 51% (90/176) |
| 50% (1/2) | Best of 5 Sets Win % | 0% (0/0) |
| 52% (72/138) | Tiebreaks Win % (Total) | 53% (19/36) |
| 54% (79/146) | Deciding Set Win % | 36% (17/47) |
| 87% (251/218) | 1st Set Won, Won Match | 86% (99/85) |
| 13% (251/33) | 1st Set Won, Lost Match | 14% (99/14) |
| 26% (173/45) | 1st Set Lost, Won Match | 10% (82/8) |
Other Tennis Predictions Today
Tennis Previews & Betting Tips

Kimberly Birrell vs Talia Gibson Prediction – WTA W75 Sydney – 22nd November 2025 Best Bets

Flavio Cobolli vs Zizou Bergs Prediction – ATP Davis Cup, World Group, SF, ITA – 21st November 2025 Best Bets

Oksana Selekhmeteva vs Jeline Vandromme Prediction – WTA W75 Petange – 21st November 2025 Best Bets

Maria Lourdes Carle vs Mayar Sherif Prediction – WTA LP Open by IND – 21st November 2025 Best Bets

Kimberly Birrell vs Ya-Yi Yang Prediction – WTA W75 Sydney – 21st November 2025 Best Bets
