Andrea Bacaloni vs Majun Li, Monastir 2022, Qualifying R3

ITF M25 · Qualifying R3 · Hard · Sun 23 Oct

Final

Andrea Bacaloni

LostRank #1270

Li won in 2 sets

0–2

Set 10–6

Set 21–6

Majun Li

WinnerRank #2029

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

See it with Pro

Wind

21 km/h

Moderate

Humidity

54%

Moderate

Temperature

31°C

Warm

Altitude

6 m

Sea level

Historical daily weather

Head to head

0Bacaloni

1Li

1 meeting

MonastirQualifying R3 · 23 Oct 2022HardThis match
Majun Li
Sets won: 2Set 1: 6Set 2: 6
Andrea Bacaloni
Sets won: 0Set 1: 0Set 2: 1

Form and path

Andrea Bacaloni

No recent matches recorded.

Majun Li1–1

MonastirThis week

WQualifying R1
Majun Li
Sets won: 2Set 1: 6Set 2: 6
Federico Bove
Sets won: 0Set 1: 2Set 2: 1

MonastirHard

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.

Get the edge with Pro

Andrea Bacaloni vs Majun Li, Monastir 2022, Qualifying R3

Final score

Venue and conditions

Head to head

Form and path

Match research