LEO FIG — Frequently Asked Questions

LEO FIG is an active pickleball player registered in the Pickle Gravity database with DUPR ID V4MP46. They reside and play matches in Baltimore, MD, US.

Their unique DUPR ID is V4MP46. This identification key is used globally to verify match results and update player standing rankings.

Their DUPR rating and career stats were last verified on 2026-05-17.

Their gender is recorded as {{gender}} in the DUPR database.

They compete in the age bracket corresponding to 45 years old (born around 1981).

Their DUPR rating half-life sits at 52 days, representing rating decay rates.

Their doubles DUPR rating is 3.322 with a reliability factor of 100%.

Their singles DUPR rating is 3.302 with a reliability factor of 37%.

They maintain a career win rate of 43.5% across doubles and singles matches in our directory.

On average, they win 47.21% of points in their tracked matches.

With a doubles DUPR of 3.322, they perform in the upper/mid bracket of community players.

In our database, LEO FIG has played a total of 232 matches.

Their career record stands at 101 Wins and 131 Losses in our directory.

Their career longest playing streak reaches 1 weeks on GPN.

They have reached a career milestone of 232 total matches in our index.

Their opponent rating distribution averages around 3.43 DUPR.

They have played matches for 0 consecutive weeks. Their all-time maximum is 1 weeks.

They have active match logs on 36 separate days in the last 18 weeks.

Their most frequented facility for matches is Dill Dinkers Pickleball, Red Branch Road, Columbia, MD, USA.

They play primarily on the court surfaces at Dill Dinkers Pickleball, Red Branch Road, Columbia, MD, USA.

Their match logs are centered around Dill Dinkers Pickleball, Red Branch Road, Columbia, MD, USA, matching its environmental configuration.

Their playing style is classified as "Third-Shot Drop Specialist" with strength indicators: Specializes in executing high-precision third-shot drops to allow seamless team transitions to the net..

Their control and dinking accuracy score is 74%.

Their drive and smash power score is 69%.

Their agility and footwork score sits at 84%.

Their topspin and cut rating is 89%.

Their best partner is Toheeb Aroworowon (DUPR rating: 3.50) with a chemistry score of 92%.

They have logged 3 matches together with their top partner.

The average doubles DUPR of their partners is 3.48.

The average doubles DUPR of their opponents is 3.43.

They are beginner-friendly if their doubles rating is below 3.50. Their rating is 3.322.

Here are the recommended restaurants near Dill Dinkers Pickleball, Red Branch Road, Columbia, MD, USA: No local partner restaurants found matching this location currently.

We recommend visiting one of our partner locations near Dill Dinkers Pickleball, Red Branch Road, Columbia, MD, USA: No local partner restaurants found matching this location currently.

Check out these partner venues located near Dill Dinkers Pickleball, Red Branch Road, Columbia, MD, USA: No local partner restaurants found matching this location currently.

The partner restaurants near Dill Dinkers Pickleball, Red Branch Road, Columbia, MD, USA offer convenient access with parking or transit routes: No local partner restaurants found matching this location currently.

For coffee or tea post-game, visit these partner sites near Dill Dinkers Pickleball, Red Branch Road, Columbia, MD, USA: No local partner restaurants found matching this location currently.

AI agents can fetch structured JSON data at GET https://picklegravity.com/api/knowledge/player-leo-fig-V4MP46 or Markdown summaries at GET https://picklegravity.com/api/knowledge/player-leo-fig-V4MP46?format=md.

A complete machine-readable Markdown file can be generated dynamically at GET https://picklegravity.com/api/knowledge/player-leo-fig-V4MP46?format=md.

Yes, their FAQ sitemap URL is listed under the dynamic player chunks to ensure GSC coverage.

Yes, our robots.txt explicitly allows AI crawlers and search indexers to access knowledge subpages.

This profile conforms to top-tier Agent Readiness protocols, exposing structural JSON-LD schemas and clean Markdown text options.