Steve Johnson vs Liam Broady, Aptos Challenger 2019, Round of 16

Challenger · Round of 16 · Hard · Thu 8 Aug

Final

Steve Johnson

WinnerRank #1015

Johnson won in 2 sets · 1h 19m

2–0

Set 17–5

Set 26–1

Liam Broady

LostRank #233

Venue

Seascape Sports Club, Aptos

Aptos, USA· Hard

Court speed

What is court speed?

How much the court helps the server, judged from aces and serve points won and adjusted for who played. 100 is the average ATP tournament court that season.

Very slow< 92Monte Carlo, Rome
Slow92–97Roland Garros, Indian Wells
Average97–103US Open, Dubai
Fast103–108Wimbledon, Shanghai
Very fast108+Basel

Challenger and ITF courts usually read lower: partly the venues, partly the balls and conditions at those levels.

How court speed works

Know how fast this court plays before the first serve

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Wind

15 km/h

Gentle

Humidity

82%

Humid

Temperature

23°C

Warm

Altitude

38 m

Sea level

Historical daily weather

Match stats

1h 19m

8Aces5

1Double faults5

46Service points won30

10Service games played9

10Service games won6

9Return games played10

1/1100%Break points saved50%3/6

3/650%Break points converted0%0/1

Head to head

1Johnson

0Broady

1 meeting

Aptos ChallengerRound of 16 · 8 Aug 2019HardThis match
Steve Johnson
Sets won: 2Set 1: 7Set 2: 6
Liam Broady
Sets won: 0Set 1: 5Set 2: 1

Match research

Pro

Everything that shapes this match: each player’s run-in and travel, records side by side, and results against similar opponents and in similar conditions. Better information, better-informed decisions.

Run-inEvery match in the last 28 days, rest days and travel between venues.
Tale of the tapeRecords and serve numbers side by side, filtered by period and surface.
Record by opponent rankingHow each player does against the top 10, top 50 or any ranking range.
Similar conditionsResults in comparable heat, humidity, wind and altitude before scheduled matches.

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Steve Johnson vs Liam Broady, Aptos Challenger 2019, Round of 16

Final score

Venue and conditions

Match stats

Head to head

Match research