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An Inside Look at UTR with Mark Leschly, CEO

April 16, 2018 RSS source

ft. Mark Leschly

Mark Leschly — new CEO of Universal Tennis Rating (UTR), Harvard tennis player, Stanford MBA, Silicon Valley investor — provides the definitive inside explanation of the UTR algorithm, addresses common misconceptions about gaming the system, and announces the UTR/PTR/USPTA partnership.

Summary

Mark Leschly — new CEO of Universal Tennis Rating (UTR), Harvard tennis player, Stanford MBA, Silicon Valley investor — provides the definitive inside explanation of the UTR algorithm, addresses common misconceptions about gaming the system, and announces the UTR/PTR/USPTA partnership. His core argument: UTR maximizes play frequency by making every match meaningful, regardless of venue or format.

Guest Background

Harvard University tennis player. Stanford Graduate School of Business. Silicon Valley investor with portfolio positions in soccer, baseball, e-sports (owns a team with 70 players across 5-6 publishers), and MMA. Connected to Pac-12 commissioner Larry Scott through the e-sports world (Pac-12 was establishing e-sports scholarships at the time of recording). New CEO of Universal Tennis Rating at time of episode.

Key Findings

UTR Algorithm: 30 Matches Over 12 Months

The UTR algorithm is based on the last 30 matches over a 12-month rolling window. Inputs: strength of opponent, percentage of games won/lost within each match. It is a dynamic system — constantly recalibrating against the performance of everyone else in the universe of UTR players. A result is not fixed; it is relative to the ongoing performance of all players whose records interact with yours.

Muting, Not Excluding, Mismatched Results

Matches against opponents whose UTR is far above or below the player’s own rating are “muted” — significantly de-weighted but not fully excluded. This is a calibration mechanism, not a censorship mechanism. A high-UTR player can play a low-UTR opponent without the match either inflating or deflating their rating significantly. The system is protected against sandbagging and against rating depression from mismatched losses.

Gaming UTR Is a Fallacy

Common concern: that players could game UTR by cherry-picking opponents. Leschly’s rebuttal: with 30 data points, no single match can materially move the number. The system’s strength is exactly its volume requirement — you cannot manufacture a UTR through selective play. The rating is an emergent property of a large match record, not a consequence of any individual result.

Development Trajectory Over Static Snapshot

College coaches using UTR want two things: current level (absolute UTR) AND development trajectory (how the rating has moved over time). A player whose UTR is rising is a better recruit than a player at the same current UTR whose rating is flat or declining. This reframes how families should present their player — not just “my child is 13.2 UTR” but “my child moved from 11.8 to 13.2 in 18 months.”

High School Tennis Should Not Be Avoided

A specific misconception addressed: some families have their children skip high school tennis to avoid low-UTR opponents and the potential muting effect. Leschly says this is wrong. The muting mechanism means high school results don’t hurt the UTR. Avoiding high school tennis sacrifices match-play volume — the most valuable development input — to protect a rating that is not being damaged anyway.

UTR/PTR/USPTA Partnership

Announced that week: a formal partnership between UTR, PTR, and USPTA. This integration connects the rating system to the two primary US coaching certification bodies, creating cross-platform data sharing and recognition. Implications: coach-reported matches and tournament results from PTR/USPTA events can feed UTR records.

E-Sports and Pac-12 Scholarships

Leschly’s e-sports background is not incidental — he connects the investor perspective on emerging competitive formats (e-sports, MMA) to tennis. His investment thesis across sports: universal performance metrics that maximize play frequency and competitive access. UTR in tennis is structurally equivalent to MMR (matchmaking rating) in e-sports.

Actionable Advice

  • Present UTR to college coaches with trajectory data, not just current rating — show the direction of movement over 12-18 months.
  • Do not avoid high school tennis to protect UTR — the muting mechanism means it cannot hurt the rating, and the match-play volume it provides is valuable.
  • Understand the 30-match/12-month window: rating currency requires ongoing match play, not historical results.
  • Use UTR as an opponent selection filter: target opponents close to or slightly above the player’s current UTR for optimal development impact.
  • Register all competitive matches in the UTR system — including club, high school, and informal competitive events where eligible.

INTENNSE Relevance

INTENNSE match results should be integrated with UTR — Leschly’s vision of UTR as a universal metric for all tennis play (club, college, professional, junior) is exactly the context INTENNSE occupies. The development trajectory argument supports how INTENNSE should report player performance: not just results but rate of improvement over time. Leschly’s e-sports investment background is also relevant — he understands the value of structured competitive formats that generate clean performance data.

Notable Quotes

“Gaming UTR by ducking opponents is a fallacy. One match can’t materially move a number built on 30 data points.”

“College coaches want trajectory, not a snapshot. Where are you going, not just where are you now.”

“Skipping high school tennis to protect your UTR is backwards — the muting protects you, and you need the match volume.”

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