Gian Luca Tanner vs Leon Schmidt, Metzingen 2023, Round of 16

ITF M15 · Round of 16 · Hard · Thu 27 Jul

Final

Gian Luca Tanner

WinnerRank #830

Tanner won in 2 sets

2–0

Set 16–3

Set 26–1

Leon Schmidt

LostUnranked

Venue

Tennis Club Metzingen e.V.

Metzingen, GER· 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

22 km/h

Moderate

Humidity

72%

Humid

Temperature

21°C

Mild

Altitude

372 m

Moderate

Historical daily weather

Head to head

1Tanner

0Schmidt

1 meeting

MetzingenRound of 16 · 27 Jul 2023HardThis match
Gian Luca Tanner
Sets won: 2Set 1: 6Set 2: 6
Leon Schmidt
Sets won: 0Set 1: 3Set 2: 1

Form and path

Gian Luca Tanner

No recent matches recorded.

Leon Schmidt

MetzingenThis week

WRound of 32
Leon Schmidt
Sets won: 2Set 1: 4Set 2: 6Set 3: 7
Philipp Leithold
Sets won: 1Set 1: 6Set 2: 3Set 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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Gian Luca Tanner vs Leon Schmidt, Metzingen 2023, Round of 16

Final score

Venue and conditions

Head to head

Form and path

Match research