William W — Frequently Asked Questions

William W is an active pickleball player registered in the Pickle Gravity database with DUPR ID RXOWMM. They reside and play matches in Guangdong Province, CN.

There are no severe active injuries registered for William W in our GPN tracking database. They are currently deemed fit to participate in active match pairings.

Their unique DUPR ID is RXOWMM. 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 2026-05-03.

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

They compete in the age bracket corresponding to 27 years old (born around 1999).

Their DUPR rating half-life sits at 28 days, representing rating decay rates.

Their doubles DUPR rating is 4.207 with a reliability factor of 99%.

Their singles DUPR rating is 0 with a reliability factor of 0%.

They maintain a career win rate of 80.6% across doubles and singles matches in our directory.

On average, they win 58.96% of points in their tracked matches.

With a doubles DUPR of 4.207, they perform in the upper/mid bracket of community players.

In our database, William W has played a total of 67 matches.

Their career record stands at 54 Wins and 13 Losses in our directory.

Their career longest playing streak reaches 1 weeks on GPN.

They have reached a career milestone of 67 total matches in our index.

Their opponent rating distribution averages around 3.40 DUPR.

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

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

Their most frequented facility for matches is 深圳市罗湖区笋岗街道宝安北路4008号二楼旭日阳光文体中心匹克球场.

They play primarily on the court surfaces at 深圳市罗湖区笋岗街道宝安北路4008号二楼旭日阳光文体中心匹克球场.

Their match logs are centered around 深圳市罗湖区笋岗街道宝安北路4008号二楼旭日阳光文体中心匹克球场, 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 61%.

Their drive and smash power score is 91%.

Their agility and footwork score sits at 71%.

Their topspin and cut rating is 81%.

Their best partner is Lucien Lau (DUPR rating: 3.02) with a chemistry score of 87%.

They have logged 7 matches together with their top partner.

The average doubles DUPR of their partners is 3.49.

The average doubles DUPR of their opponents is 3.40.

They are beginner-friendly if their doubles rating is below 3.50. Their rating is 4.207.

Here are the recommended restaurants near 深圳市罗湖区笋岗街道宝安北路4008号二楼旭日阳光文体中心匹克球场: No local partner restaurants found matching this location currently.

We recommend visiting one of our partner locations near 深圳市罗湖区笋岗街道宝安北路4008号二楼旭日阳光文体中心匹克球场: No local partner restaurants found matching this location currently.

Check out these partner venues located near 深圳市罗湖区笋岗街道宝安北路4008号二楼旭日阳光文体中心匹克球场: No local partner restaurants found matching this location currently.

The partner restaurants near 深圳市罗湖区笋岗街道宝安北路4008号二楼旭日阳光文体中心匹克球场 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 深圳市罗湖区笋岗街道宝安北路4008号二楼旭日阳光文体中心匹克球场: No local partner restaurants found matching this location currently.

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

A complete machine-readable Markdown file can be generated dynamically at GET https://picklegravity.com/api/knowledge/player-william-w-RXOWMM?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.