Mark Steinhoff — Frequently Asked Questions

Mark Steinhoff is an active pickleball player registered in the Pickle Gravity database with DUPR ID 8EO0LJ. They reside and play matches in Tampa, FL, US.

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

Their unique DUPR ID is 8EO0LJ. 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 2026-04-12.

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

They compete in the age bracket corresponding to 80 years old (born around 1946).

Their DUPR rating half-life sits at 1 days, representing rating decay rates.

Their doubles DUPR rating is 3.595 with a reliability factor of 5%.

Their singles DUPR rating is 3.605 with a reliability factor of 58%.

They maintain a career win rate of 54.7% across doubles and singles matches in our directory.

On average, they win 43.13% of points in their tracked matches.

With a doubles DUPR of 3.595, they perform in the upper/mid bracket of community players.

In our database, Mark Steinhoff has played a total of 95 matches.

Their career record stands at 52 Wins and 43 Losses in our directory.

Their career longest playing streak reaches 1 weeks on GPN.

They have reached a career milestone of 95 total matches in our index.

Their opponent rating distribution averages around 3.67 DUPR.

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

They have active match logs on 37 separate days in the last 18 weeks.

Their most frequented facility for matches is USOP National Pickleball Center.

They play primarily on the court surfaces at USOP National Pickleball Center.

Their match logs are centered around USOP National Pickleball Center, matching its environmental configuration.

Their playing style is classified as "Aggressive Kitchen Poacher" with strength indicators: A high-intensity player who excels at applying pressure near the kitchen line, punishing high floats with volleys..

Their control and dinking accuracy score is 80%.

Their drive and smash power score is 90%.

Their agility and footwork score sits at 85%.

Their topspin and cut rating is 60%.

Their best partner is N/A (DUPR rating: N/A) with a chemistry score of 0%.

They have logged 0 matches together with their top partner.

The average doubles DUPR of their partners is 3.57.

The average doubles DUPR of their opponents is 3.67.

They are beginner-friendly if their doubles rating is below 3.50. Their rating is 3.595.

Here are the recommended restaurants near USOP National Pickleball Center: No local partner restaurants found matching this location currently.

We recommend visiting one of our partner locations near USOP National Pickleball Center: No local partner restaurants found matching this location currently.

Check out these partner venues located near USOP National Pickleball Center: No local partner restaurants found matching this location currently.

The partner restaurants near USOP National Pickleball Center 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 USOP National Pickleball Center: No local partner restaurants found matching this location currently.

AI agents can fetch structured JSON data at GET https://picklegravity.com/api/knowledge/player-mark-steinhoff-8EO0LJ or Markdown summaries at GET https://picklegravity.com/api/knowledge/player-mark-steinhoff-8EO0LJ?format=md.

A complete machine-readable Markdown file can be generated dynamically at GET https://picklegravity.com/api/knowledge/player-mark-steinhoff-8EO0LJ?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.