ЕФ
Revés (left) · Right-handed

Ева Филатова

Age30 CityЕкатеринбург ClubУрал Padel Height163 cm RacketBullpadel Vertex 04
WWLLL Win streak: 2 Card PDF Calendar Find a partner
3.74
Level 0–7
1448 ±270 · 21 of 28
Strength rating

The report is built automatically from match analyses and results: metrics are compared with the average of all players in the database. Useful both for the player (what to work on) and for opponents (how to play against).

Strengths

  • Break points converted: 50% (database average 42.1%)
  • Main weapon: Lob (globo) (30% of winners), Forehand (15% of winners)

Areas to improve

  • Service holds: 53% (database average 57.6%)
  • Return points won: 32% (database average 39.4%)
  • Decisive points (golden / Star Point): 0% (database average 47.2%)
  • Break points saved: 43% (database average 50.9%)
  • Winners per match: 10.0 (database average 12.3)
  • Rallies won when holding the net: 50% (database average 56.9%)
  • Overhead efficiency: 19% (database average 50.0%)
  • Second serve points won: 33% (database average 53.6%)
  • Most errors come from the “Víbora” — 28% of all errors

How to play against them

  • Play high lobs: overheads produce more errors than attacks.
  • Errors lean to the right side of the court (87%): direct play there.

Drills for areas to improve

Overhead · Víbora
  • Bandeja from the basket: 3 sets of 20 balls; aim for depth beyond the service line, not speed.
  • Footwork under the lob: side-step back, hit, return to the net — 10 reps in a row.
  • Smash to zones: the coach feeds lobs, the player hits to the given corner (cross / middle).
Baseline · Off the glass
  • Off the glass: ball off the back wall, hit at the feet of the net player — 4 sets of 15.
  • Double glass: the coach hits into the corner, the player turns and answers with a lob.
  • Backhand control: 50 cross-court shots in a row without an error, then down the line.

Comparison with the database average

MetricФилатоваAverage
Winners per match10.012.3
Unforced per match12.512.1
Service holds53%57.6%
Return points won32%39.4%
Decisive points0%47.2%
Break points converted50%42.1%
Break points saved43%50.9%
Won at the net50%56.9%