H2H data updated: 2026-09-13 00:00 UTC
Monica Puig holds a 2–1 lead over Naomi Broady in their WTA head-to-head. Across 3 main-draw meetings, they are tied 1–1 on hard courts, while Monica Puig leads 1–0 on grass. Most recently, Monica Puig won the 2017 Luxembourg quarterfinal 6-0 5-7 6-1.
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| Player | Score | Player | Match Data | Date | Round | Tournament | Category | Surface |
|---|---|---|---|---|---|---|---|---|
| Monica Puig | 6-0 5-7 6-1 | Naomi Broady | Match data | Oct 20, 2017* | QF | Luxembourg | International → modern equivalent WTA 250 | Hard |
| Naomi Broady | 3-6 6-4 6-2 | Monica Puig | Match data | Jul 27, 2016* | R64 | Canadian Open | Premier 5 → modern equivalent WTA 1000 | Hard |
| Monica Puig | 6-1 6-1 | Naomi Broady | Match data | Jun 22, 2016* | R64 | Eastbourne Open | Premier → modern equivalent WTA 500 | Grass |
| Monica Puig | 3-6 6-3 6-3 | Naomi Broady | Match data | Apr 30, 2016 | Q2 | Madrid Open | Premier Mandatory → modern equivalent WTA 1000 | Clay |
1 qualifying meeting shown in the table; qualifying is excluded from the H2H score. Estimated match date where the exact historical date is unavailable. Arrows show an edition's recorded category and documented modern equivalent; unresolved editions keep their recorded category. Asterisked totals include editions mapped from documented historical predecessor categories. Mapping details.
| Player | Current | Peak | Pts | Elo | W | L | Win % | GS | Olympics | 1000 including documented historical predecessor categories | Finals | 500 including documented historical predecessor categories | 250 including documented historical predecessor categories | Titles |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Monica Puig | #1,073 | #27 | 1,570 | 1,843 | 139 | 140 | 49.8% | 0 | 1 | 0 | 0 | 0 | 1 | 2 |
| Naomi Broady | #1,209 | #76 | 875 | 1,604 | 24 | 42 | 36.4% | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Seasons are aligned by the age each player spent most of that calendar year. GS and Titles are cumulative career totals through that season.
| Age | Monica Puig | Naomi Broady | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | W-L | Win % | Rank | Elo | GS | Titles | Yr | W-L | Win % | Rank | Elo | GS | Titles | |
| 17 | 2011 | 0–1 | 0.0% | #211 | 1,492 | 0 | 0 | — | — | — | — | — | — | — |
| 18 | 2012 | 0–2 | 0.0% | #124 | 1,463 | 0 | 0 | — | — | — | — | — | — | — |
| 19 | 2013 | 13–15 | 46.4% | #56 | 1,570 | 0 | 0 | 2009 | 0–1 | 0.0% | #298 | 1,484 | 0 | 0 |
| 20 | 2014 | 16–18 | 47.1% | #59 | 1,614 | 0 | 1 | 2010 | 0–1 | 0.0% | #287 | 1,469 | 0 | 0 |
| 21 | 2015 | 15–23 | 39.5% | #92 | 1,578 | 0 | 1 | 2011 | 1–2 | 33.3% | #196 | 1,472 | 0 | 0 |
| 22 | 2016 | 41–24 | 63.1% | #32 | 1,770 | 0 | 2 | 2012 | 0–1 | 0.0% | #287 | 1,463 | 0 | 0 |
| 23 | 2017 | 20–21 | 48.8% | #58 | 1,724 | 0 | 2 | — | — | — | — | — | — | — |
| 24 | 2018 | 18–14 | 56.2% | #53 | 1,780 | 0 | 2 | 2014 | 1–3 | 25.0% | #170 | 1,459 | 0 | 0 |
| 25 | 2019 | 16–19 | 45.7% | #79 | 1,686 | 0 | 2 | 2015 | 5–5 | 50.0% | #121 | 1,511 | 0 | 0 |
| 26 | 2020 | 0–2 | 0.0% | #105 | 1,623 | 0 | 2 | 2016 | 10–15 | 40.0% | #91 | 1,495 | 0 | 0 |
| 27 | — | — | — | — | — | — | — | 2017 | 6–11 | 35.3% | #117 | 1,551 | 0 | 0 |
| 28 | 2022 | 0–1 | 0.0% | #1073 | 1,619 | 0 | 2 | 2018 | 1–3 | 25.0% | #250 | 1,485 | 0 | 0 |
Seasons are aligned by the age each player spent most of that calendar year. Results cover completed main-draw matches. Bold green marks the higher win percentage when both players have at least 5 matches on that surface at the aligned age.
| Age | Monica Puig | Naomi Broady | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | Hard | Clay | Grass | Yr | Hard | Clay | Grass | |||||||||||||||||||
| W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | W | L | M | Win % | |||
| 17 | 2011 | — | — | — | — | 0 | 1 | 1 | 0.0% | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 18 | 2012 | 0 | 2 | 2 | 0.0% | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 19 | 2013 | 5 | 11 | 16 | 31.3% | 5 | 3 | 8 | 62.5% | 3 | 1 | 4 | 75.0% | 2009 | — | — | — | — | — | — | — | — | 0 | 1 | 1 | 0.0% |
| 20 | 2014 | 9 | 12 | 21 | 42.9% | 6 | 3 | 9 | 66.7% | 1 | 3 | 4 | 25.0% | 2010 | — | — | — | — | — | — | — | — | 0 | 1 | 1 | 0.0% |
| 21 | 2015 | 11 | 14 | 25 | 44.0% | 3 | 6 | 9 | 33.3% | 1 | 3 | 4 | 25.0% | 2011 | — | — | — | — | — | — | — | — | 1 | 2 | 3 | 33.3% |
| 22 | 2016 | 25 | 14 | 39 | 64.1% | 8 | 6 | 14 | 57.1% | 8 | 4 | 12 | 66.7% | 2012 | — | — | — | — | — | — | — | — | 0 | 1 | 1 | 0.0% |
| 23 | 2017 | 17 | 15 | 32 | 53.1% | 3 | 5 | 8 | 37.5% | 0 | 1 | 1 | 0.0% | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 24 | 2018 | 17 | 12 | 29 | 58.6% | 1 | 1 | 2 | 50.0% | 0 | 1 | 1 | 0.0% | 2014 | 0 | 1 | 1 | 0.0% | — | — | — | — | 1 | 2 | 3 | 33.3% |
| 25 | 2019 | 7 | 13 | 20 | 35.0% | 8 | 3 | 11 | 72.7% | 1 | 3 | 4 | 25.0% | 2015 | 4 | 2 | 6 | 66.7% | — | — | — | — | 1 | 3 | 4 | 25.0% |
| 26 | 2020 | 0 | 1 | 1 | 0.0% | 0 | 1 | 1 | 0.0% | — | — | — | — | 2016 | 10 | 9 | 19 | 52.6% | 0 | 2 | 2 | 0.0% | 0 | 4 | 4 | 0.0% |
| 27 | — | — | — | — | — | — | — | — | — | — | — | — | — | 2017 | 5 | 8 | 13 | 38.5% | — | — | — | — | 1 | 3 | 4 | 25.0% |
| 28 | 2022 | — | — | — | — | 0 | 1 | 1 | 0.0% | — | — | — | — | 2018 | 1 | 2 | 3 | 33.3% | — | — | — | — | 0 | 1 | 1 | 0.0% |
| Career | — | 91 | 94 | 185 | 49.2% | 34 | 30 | 64 | 53.1% | 14 | 16 | 30 | 46.7% | — | 20 | 22 | 42 | 47.6% | 0 | 2 | 2 | 0.0% | 4 | 18 | 22 | 18.2% |
Seasons are aligned by the age each player spent most of that calendar year. Detailed serve and return statistics available for 252/279 of Monica Puig's and 59/66 of Naomi Broady's main draw matches. Sample is shown as matches with detailed serve and return statistics / total main draw matches. Bold green marks the stronger value when both stat samples contain at least 5 matches; lower is better for DFs/M.
| Age | Monica Puig | Naomi Broady | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | Sample | Aces/M | DFs/M | 1st Sv% | 1st Pts% | 2nd Pts% | BP Saved% | BP Conv% | Svc Pts% | Ret Pts% | Yr | Sample | Aces/M | DFs/M | 1st Sv% | 1st Pts% | 2nd Pts% | BP Saved% | BP Conv% | Svc Pts% | Ret Pts% | |
| 17 | 2011 | 1/1 | 2.0 | 7.0 | 59.8% | 64.5% | 41.2% | 53.8% | 50.0% | 55.1% | 45.8% | — | —/— | — | — | — | — | — | — | — | — | — |
| 18 | 2012 | 1/2 | 4.0 | 3.0 | 50.0% | 62.5% | 53.1% | 75.0% | 0.0% | 57.8% | 30.0% | — | —/— | — | — | — | — | — | — | — | — | — |
| 19 | 2013 | 27/28 | 2.7 | 2.7 | 62.4% | 62.4% | 51.4% | 41.8% | 51.2% | 58.1% | 43.0% | 2009 | 1/1 | 15.0 | 3.0 | 57.6% | 70.6% | 42.0% | 61.5% | 33.3% | 58.5% | 40.0% |
| 20 | 2014 | 33/34 | 3.1 | 4.4 | 59.8% | 66.4% | 46.7% | 51.1% | 46.9% | 58.4% | 42.7% | 2010 | 1/1 | 8.0 | 2.0 | 56.5% | 74.4% | 33.3% | 50.0% | 28.6% | 56.5% | 35.7% |
| 21 | 2015 | 32/38 | 4.4 | 4.0 | 60.7% | 65.2% | 51.0% | 50.2% | 49.1% | 59.4% | 38.4% | 2011 | 3/3 | 12.7 | 4.3 | 54.0% | 75.3% | 48.4% | 69.0% | 15.8% | 63.3% | 34.5% |
| 22 | 2016 | 52/65 | 3.1 | 3.6 | 62.0% | 64.8% | 49.8% | 58.7% | 46.5% | 59.0% | 44.7% | — | —/— | — | — | — | — | — | — | — | — | — |
| 23 | 2017 | 39/41 | 3.3 | 3.4 | 60.1% | 65.6% | 47.8% | 54.0% | 45.1% | 58.7% | 42.8% | — | —/— | — | — | — | — | — | — | — | — | — |
| 24 | 2018 | 31/32 | 3.0 | 3.4 | 61.3% | 67.1% | 45.7% | 52.7% | 48.6% | 58.6% | 42.1% | 2014 | 4/4 | 9.3 | 4.3 | 56.9% | 70.8% | 43.8% | 46.7% | 42.1% | 59.1% | 29.0% |
| 25 | 2019 | 33/35 | 3.3 | 3.6 | 62.5% | 66.1% | 48.0% | 60.1% | 51.9% | 59.1% | 44.1% | 2015 | 6/10 | 10.3 | 3.3 | 63.4% | 78.6% | 45.8% | 46.4% | 27.9% | 66.7% | 32.4% |
| 26 | 2020 | 2/2 | 1.5 | 6.0 | 64.6% | 55.7% | 28.2% | 29.8% | 28.6% | 46.0% | 34.8% | 2016 | 23/26 | 8.4 | 4.8 | 57.9% | 70.2% | 39.9% | 50.5% | 38.0% | 57.4% | 36.1% |
| 27 | — | —/— | — | — | — | — | — | — | — | — | — | 2017 | 17/17 | 9.6 | 4.1 | 57.9% | 74.7% | 44.9% | 49.7% | 46.1% | 62.0% | 33.3% |
| 28 | 2022 | 1/1 | 0.0 | 5.0 | 60.3% | 51.2% | 33.3% | 53.8% | 33.3% | 44.1% | 32.7% | 2018 | 4/4 | 12.5 | 3.5 | 58.4% | 64.4% | 50.3% | 64.0% | 10.0% | 58.8% | 30.1% |
| Career | — | 252/279 | 3.2 | 3.6 | 61.2% | 65.2% | 48.4% | 53.3% | 47.8% | 58.6% | 42.6% | — | 59/67 | 9.6 | 4.2 | 58.2% | 72.3% | 43.3% | 51.6% | 36.3% | 60.2% | 34.0% |
Seasons are aligned by the age each player spent most of that calendar year. Metrics use eligible main-draw results; point statistics use matches with detailed data. Bold green marks the stronger value when both underlying samples are sufficient. Lower is better for Schedule because a negative value means a tougher schedule. Career Schedule is normalized per 100 matches.
| Age | Monica Puig | Naomi Broady | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yr | Elo | P+ | Serve+ | Return+ | PD | TPW% | Hard Elo | Clay Elo | Grass Elo | Set Win % | Set Margin | Dec. Set | Tiebreak | Pressure+ | Schedule | Yr | Elo | P+ | Serve+ | Return+ | PD | TPW% | Hard Elo | Clay Elo | Grass Elo | Set Win % | Set Margin | Dec. Set | Tiebreak | Pressure+ | Schedule | |
| 17 | 2011 | 1492 | 103.5 | -1.04 | -2.47 | 1.020 | 50.6% | — | — | — | 33.3% | 0.00 | 0–1 | 0–1 | — | -0.15 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 18 | 2012 | 1464 | 94.8 | -3.46 | -3.96 | 0.711 | 44.4% | — | — | — | 0.0% | -3.00 | — | — | — | +0.17 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 19 | 2013 | 1571 | 123.3 | +1.46 | -0.93 | 1.027 | 50.5% | -93 | +68 | +69 | 50.0% | 0.00 | 3–7 (30%) | 5–3 (63%) | 101.7 | +0.09 | 2009 | 1485 | 100.3 | -1.38 | -3.59 | 0.963 | 49.0% | — | — | — | 33.3% | -0.33 | 0–1 | 0–1 | — | +0.04 |
| 20 | 2014 | 1615 | 129.5 | +1.33 | -0.33 | 1.027 | 50.6% | -75 | +119 | 0 | 48.7% | +0.15 | 4–6 (40%) | 4–3 (57%) | 102.0 | -0.29 | 2010 | 1470 | 99.4 | -5.23 | -2.65 | 0.821 | 46.0% | — | — | — | 0.0% | -2.00 | — | — | — | +0.06 |
| 21 | 2015 | 1579 | 121.9 | +0.62 | -2.26 | 0.948 | 49.1% | +9 | +55 | -13 | 42.4% | -0.19 | 3–8 (27%) | 5–11 (31%) | 91.9 | -0.38 | 2011 | 1473 | 95.0 | +1.81 | -0.83 | 0.939 | 48.5% | — | — | +46 | 37.5% | -0.62 | 1–1 | 1–2 (33%) | — | -0.09 |
| 22 | 2016 | 1771 | 137.9 | +2.19 | +1.46 | 1.092 | 52.0% | -9 | -57 | -89 | 58.9% | +0.70 | 12–5 (71%) | 3–4 (43%) | 108.8 | -0.14 | 2012 | 1463 | 98.8 | — | — | — | — | — | — | — | 0.0% | -1.50 | — | 0–1 | — | +0.04 |
| 23 | 2017 | 1724 | 133.3 | +2.17 | -0.36 | 1.036 | 50.7% | +15 | -63 | — | 47.4% | -0.04 | 8–9 (47%) | 5–3 (63%) | 101.4 | -0.88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 24 | 2018 | 1780 | 137.8 | +0.96 | +0.23 | 1.017 | 50.5% | +6 | — | — | 56.5% | +0.25 | 6–5 (55%) | 3–3 (50%) | 101.8 | -0.76 | 2014 | 1460 | 101.3 | -0.21 | -3.52 | 0.709 | 45.2% | — | — | +50 | 30.0% | -1.10 | 1–1 | 1–0 | — | +0.03 |
| 25 | 2019 | 1686 | 127.3 | +1.69 | +0.90 | 1.076 | 51.5% | -34 | +39 | -64 | 50.0% | +0.35 | 4–8 (33%) | 3–6 (33%) | 92.6 | -0.89 | 2015 | 1511 | 105.2 | +3.12 | -3.00 | 0.975 | 48.6% | +44 | — | -16 | 47.8% | -0.13 | 2–1 (67%) | 2–3 (40%) | 101.2 | +0.53 |
| 26 | 2020 | 1624 | 94.4 | -0.47 | -3.91 | 0.644 | 40.5% | — | — | — | 20.0% | -3.40 | 0–1 | 1–0 | — | +0.30 | 2016 | 1495 | 109.2 | +0.76 | -4.87 | 0.847 | 47.1% | +47 | — | -85 | 41.0% | -0.85 | 6–5 (55%) | 2–4 (33%) | 100.2 | -0.37 |
| 27 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2017 | 1551 | 114.6 | +2.49 | -5.32 | 0.876 | 47.9% | +6 | — | -166 | 42.9% | -0.71 | 2–6 (25%) | 4–1 (80%) | 99.1 | -0.22 |
| 28 | 2022 | 1619 | 101.3 | +0.44 | +1.01 | 0.584 | 39.3% | — | — | — | 0.0% | -4.00 | — | — | — | -0.14 | 2018 | 1485 | 104.1 | +0.54 | -1.89 | 0.732 | 44.6% | +4 | — | — | 30.0% | -1.40 | 1–1 | 1–1 | — | -0.19 |
| 29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2019 | 1445 | 88.2 | — | — | — | — | — | — | — | — | — | — | — | — | — |
| 31 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2021 | 1434 | 96.2 | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Career | — | 1843 | 134.9 | +1.52 | -0.09 | 1.029 | 50.7% | -18 | +21 | -39 | 50.3% | +0.16 | 40–50 (44%) | 29–34 (46%) | 100.5 | -1.10 | — | 1604 | 108.0 | +1.33 | -4.25 | 0.854 | 47.3% | +30 | — | -43 | 39.8% | -0.76 | 13–16 (45%) | 11–13 (46%) | 99.4 | -0.26 |
Each player's five most-played main-draw opponents. The current matchup is highlighted when it appears in a player's top five.
| Opponent | W | L | M | Last Played | H2H |
|---|---|---|---|---|---|
| Samantha Stosur | 3 | 4 | 7 | Mar 22, 2018 | H2H |
| Julia Goerges | 3 | 3 | 6 | Oct 19, 2019 | H2H |
| Angelique Kerber | 3 | 3 | 6 | Sep 24, 2019 | H2H |
| Caroline Wozniacki | 3 | 3 | 6 | Sep 27, 2018 | H2H |
| Carla Suárez Navarro | 1 | 5 | 6 | Aug 24, 2018 | H2H |
| Opponent | W | L | M | Last Played | H2H |
|---|---|---|---|---|---|
| Timea Babos | 1 | 3 | 4 | Apr 6, 2018 | H2H |
| Monica Puig | 1 | 2 | 3 | Oct 20, 2017 | H2H |
| Sabine Lisicki | 2 | 0 | 2 | Oct 19, 2017 | H2H |
| Julia Goerges | 0 | 2 | 2 | Apr 13, 2017 | H2H |
| Daria Saville | 0 | 2 | 2 | Jan 18, 2017 | H2H |