Terrence Lim — Frequently Asked Questions

Terrence Lim is an active pickleball player registered in the Pickle Gravity database with DUPR ID V2DVLE. They reside and play matches in New York, NY, US.

Their unique DUPR ID is V2DVLE. 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 2026-05-30.

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

They compete in the age bracket corresponding to 24 years old (born around 2002).

Their DUPR rating half-life sits at 7 days, representing rating decay rates.

Their doubles DUPR rating is 4.368 with a reliability factor of 71%.

Their singles DUPR rating is 5.211 with a reliability factor of 95%.

They maintain a career win rate of 72.1% across doubles and singles matches in our directory.

On average, they win 52.35% of points in their tracked matches.

With a doubles DUPR of 4.368, they perform in the upper/mid bracket of community players.

In our database, Terrence Lim has played a total of 43 matches.

Their career record stands at 31 Wins and 12 Losses in our directory.

Their career longest playing streak reaches 2 weeks on GPN.

They have reached a career milestone of 43 total matches in our index.

Their opponent rating distribution averages around 4.25 DUPR.

They have played matches for 0 consecutive weeks. Their all-time maximum is 2 weeks.

They have active match logs on 39 separate days in the last 18 weeks.

Their most frequented facility for matches is 13-06 Queens Plaza S, Long Island City, NY 11101, USA.

They play primarily on the court surfaces at 13-06 Queens Plaza S, Long Island City, NY 11101, USA.

Their match logs are centered around 13-06 Queens Plaza S, Long Island City, NY 11101, USA, matching its environmental configuration.

Their playing style is classified as "Tactical Baseline Driver" with strength indicators: A patient, tactical player who focuses on deep baseline drives and calculated court placement to draw opponent errors..

Their control and dinking accuracy score is 66%.

Their drive and smash power score is 81%.

Their agility and footwork score sits at 91%.

Their topspin and cut rating is 91%.

Their best partner is Chase Walmsley (DUPR rating: 4.30) with a chemistry score of 91%.

They have logged 5 matches together with their top partner.

The average doubles DUPR of their partners is 4.42.

The average doubles DUPR of their opponents is 4.25.

They are beginner-friendly if their doubles rating is below 3.50. Their rating is 4.368.

Here are the recommended restaurants near 13-06 Queens Plaza S, Long Island City, NY 11101, USA: No local partner restaurants found matching this location currently.

We recommend visiting one of our partner locations near 13-06 Queens Plaza S, Long Island City, NY 11101, USA: No local partner restaurants found matching this location currently.

Check out these partner venues located near 13-06 Queens Plaza S, Long Island City, NY 11101, USA: No local partner restaurants found matching this location currently.

The partner restaurants near 13-06 Queens Plaza S, Long Island City, NY 11101, 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 13-06 Queens Plaza S, Long Island City, NY 11101, 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-terrence-lim-V2DVLE or Markdown summaries at GET https://picklegravity.com/api/knowledge/player-terrence-lim-V2DVLE?format=md.

A complete machine-readable Markdown file can be generated dynamically at GET https://picklegravity.com/api/knowledge/player-terrence-lim-V2DVLE?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.