Public ATP coverage-qualified profile built from charted matches. Start with the summary, then follow one reliable trait into the wider tour.
Scouting Summary
Felix Auger Aliassime's current window is too thin or skewed for a stable public style read. Only 11 charted matches sit in this window, so the read is still directional. Use the metric cards as directional hints, not a settled profile.
The top line stays simple. Expand any card when you want the raw sample, uncertainty, baseline, rank, and nearby names in the leaderboard.
Profile Shape
Read the page like a scout
Deep return rate
27.1%
Higher values usually mean the return is buying time, pinning the server back, and moving the point off easy first-ball offense.
Adjusted value: 27.1%
Raw value: 25.9%
Baseline: 29.3%
Vs baseline: -2.3 pts
Confidence: High confidence
90% interval: 24.2-30.0
Effective sample size: 635.1
Sample: 641 returnable returns · weighted 719
Threshold: 300+ returnable returns
Forehand attack rate
44.5%
Higher values point to a forehand that steps on the point instead of simply recycling crosscourt.
Adjusted value: 44.5%
Raw value: 46.3%
Baseline: 41.7%
Vs baseline: +2.8 pts
Confidence: High confidence
90% interval: 42.0-47.0
Effective sample size: 1056.1
Sample: 1066 charted forehand directions · weighted 1201
Threshold: 500+ charted forehand directions
Serve variety
98 / 100
Higher values usually mean the first-ball read is harder because serve patterns are not concentrated in one lane.
Adjusted value: 98 / 100
Raw value: 98 / 100
Baseline: 96 / 100
Vs baseline: +1.5 pts
Confidence: High confidence
90% interval: 97.0-98.3
Effective sample size: 836.9
Sample: 845 charted serves · weighted 963
Threshold: 300+ charted serves
Net approach rate
11.3%
Higher values point to a profile that uses the front court as a recurring pressure tool rather than an emergency option.
Adjusted value: 11.3%
Raw value: 11.1%
Baseline: 11.8%
Vs baseline: -0.5 pts
Confidence: High confidence
90% interval: 10.0-12.5
Effective sample size: 1745.2
Sample: 195 net points across 1762 total points · weighted 1993
Threshold: 30+ net points and 600+ total points
Net conversion
69.4%
Higher values point to cleaner front-court execution once the approach or transition decision is made.
Adjusted value: 69.4%
Raw value: 69.7%
Baseline: 68.5%
Vs baseline: +0.9 pts
Confidence: Medium confidence
90% interval: 63.9-74.8
Effective sample size: 193.1
Sample: 195 net points · weighted 220
Threshold: 30+ net points
Break-point resistance
63.7%
Higher values point to a service profile that stays stable when the score tightens.
Adjusted value: 63.7%
Raw value: 64.9%
Baseline: 62.4%
Vs baseline: +1.2 pts
Confidence: Low confidence
90% interval: 54.4-72.9
Effective sample size: 73.3
Sample: 74 break points faced on serve · weighted 86
Threshold: 20+ break points faced on serve
Nearby names
No nearby leaderboard context is available here.
Break-point attack
33.0%
Higher values point to a return profile that leans forward at the moment the service game can swing.
Adjusted value: 33.0%
Raw value: 30.6%
Baseline: 39.2%
Vs baseline: -6.1 pts
Confidence: Low confidence
90% interval: 23.9-42.2
Effective sample size: 71.5
Sample: 72 break points on return · weighted 78
Threshold: 20+ break points on return
Nearby names
No nearby leaderboard context is available here.
Short service points
58.8%
Higher values point to service games that stay short and front-footed. Lower values usually mean a profile that lives in longer points.
Adjusted value: 58.8%
Raw value: 58.6%
Baseline: 59.2%
Vs baseline: -0.4 pts
Confidence: Medium confidence
90% interval: 55.0-62.7
Effective sample size: 441.7
Sample: 444 charted service points · weighted 512
Threshold: 300+ charted service points
Surface cards only show up when the selected season window has at least 10 charted matches on that surface.
No surface split clears the threshold here.
This season view does not have 10 charted matches on a single surface for Felix Auger Aliassime.
Methodology
The methodology page explains thresholds, weighting, uncertainty, reliability grades, and why some players or surfaces disappear when the sample gets too thin.
Private workflow
Tour Radar is the public proof layer. Private work starts when your team brings a live coaching question and sends team footage, tracking exports, or official reports or exports it can share.
