Adam Pavlasek vs Gian Marco Moroni, Rome Challenger 2019, Semifinal

Challenger · Semifinal · Clay · Sat 11 May

Final

Adam Pavlasek

LostRank #1721

Moroni won in 2 sets · 1h 10m

0–2

Set 11–6

Set 21–6

Gian Marco Moroni

WinnerRank #1782

Venue

Tennis Club Garden

Rome, ITA· Clay

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

73%

Humid

Temperature

21°C

Mild

Altitude

63 m

Low

Historical daily weather

Match stats

1h 10m

1Aces4

4Double faults4

18Service points won34

7Service games played7

2Service games won7

7Return games played7

5/1050%Break points saved100%4/4

0/40%Break points converted50%5/10

Head to head

0Pavlasek

1Moroni

1 meeting

Rome ChallengerSemifinal · 11 May 2019ClayThis match
Gian Marco Moroni
Sets won: 2Set 1: 6Set 2: 6
Adam Pavlasek
Sets won: 0Set 1: 1Set 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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Adam Pavlasek vs Gian Marco Moroni, Rome Challenger 2019, Semifinal

Final score

Venue and conditions

Match stats

Head to head

Match research