Michael Mateo — Frequently Asked Questions

Michael Mateo is an active pickleball player registered in the Pickle Gravity database with DUPR ID RXDZED. They reside and play matches in Chandler, AZ, US.

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

Their unique DUPR ID is RXDZED. 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 2025-08-09.

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 4 days, representing rating decay rates.

Their doubles DUPR rating is 3.837 with a reliability factor of 35%.

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

They maintain a career win rate of 75.0% across doubles and singles matches in our directory.

On average, they win 63.62% of points in their tracked matches.

With a doubles DUPR of 3.837, they perform in the upper/mid bracket of community players.

In our database, Michael Mateo has played a total of 72 matches.

Their career record stands at 54 Wins and 18 Losses in our directory.

Their career longest playing streak reaches 4 weeks on GPN.

They have reached a career milestone of 72 total matches in our index.

Their opponent rating distribution averages around 3.23 DUPR.

They have played matches for 0 consecutive weeks. Their all-time maximum is 4 weeks.

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

Their most frequented facility for matches is 4950 W Ray Road , Chandler, 85226.

They play primarily on the court surfaces at 4950 W Ray Road , Chandler, 85226.

Their match logs are centered around 4950 W Ray Road , Chandler, 85226, matching its environmental configuration.

Their playing style is classified as "All-Court Defensive Wall" with strength indicators: An outstanding defensive asset capable of recovering difficult angles and resetting fast speed-ups back into the kitchen..

Their control and dinking accuracy score is 87%.

Their drive and smash power score is 72%.

Their agility and footwork score sits at 77%.

Their topspin and cut rating is 72%.

Their best partner is Tommy Lopez (DUPR rating: 3.89) with a chemistry score of 81%.

They have logged 25 matches together with their top partner.

The average doubles DUPR of their partners is 3.54.

The average doubles DUPR of their opponents is 3.23.

They are beginner-friendly if their doubles rating is below 3.50. Their rating is 3.837.

Here are the recommended restaurants near 4950 W Ray Road , Chandler, 85226: No local partner restaurants found matching this location currently.

We recommend visiting one of our partner locations near 4950 W Ray Road , Chandler, 85226: No local partner restaurants found matching this location currently.

Check out these partner venues located near 4950 W Ray Road , Chandler, 85226: No local partner restaurants found matching this location currently.

The partner restaurants near 4950 W Ray Road , Chandler, 85226 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 4950 W Ray Road , Chandler, 85226: No local partner restaurants found matching this location currently.

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

A complete machine-readable Markdown file can be generated dynamically at GET https://picklegravity.com/api/knowledge/player-michael-mateo-RXDZED?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.