Keshav Chopra vs Andres Martin, Monastir 2023, Semifinal

ITF M15 · Semifinal · Hard · Sat 23 Sept

Final

Keshav Chopra

LostRank #694

Martin won in 3 sets · 2h 50m

1–2

Set 10–6

Set 26–3

Set 35–7

Andres Martin

WinnerRank #354

Venue

Magic Hotel Skanes Family Monastir

Sahline, TUN· 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

33 km/h

Fresh

Humidity

58%

Moderate

Temperature

30°C

Warm

Altitude

6 m

Sea level

Historical daily weather

Match stats

2h 50m

3Aces3

4Double faults6

53Service points won49

14Service games played13

7Service games won9

13Return games played14

12/1963%Break points saved50%4/8

4/850%Break points converted37%7/19

Head to head

0Chopra

1Martin

1 meeting

MonastirSemifinal · 23 Sept 2023HardThis match
Andres Martin
Sets won: 2Set 1: 6Set 2: 3Set 3: 7
Keshav Chopra
Sets won: 1Set 1: 0Set 2: 6Set 3: 5

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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Keshav Chopra vs Andres Martin, Monastir 2023, Semifinal

Final score

Venue and conditions

Match stats

Head to head

Match research