THE NUMBERSDON'T PLAYFAVORITES
WHAT WE PUT IN WRITING
Player profiles that identify what to fix
Multi-dimensional evaluation across hitting, pitching, and fielding, with the sample size behind every number stated. You get a ranked list of what to work on next, not a grade.
Coaching intelligence
Data-driven batting orders, pitching rotations built around arm health, and end-of-season evaluations written so a coach can hand them to a parent.
Team selection and tryout audits
Mathematical ranking indices applied to tryout data with names stripped off until the grading is done.
Custom work
If the question is specific to your program, we will tell you whether the data can answer it before you pay for the answer.
FOUR PLACES A DECISION GETS MADE FOR YOU
AT THE TRYOUT THE NAME ARRIVES BEFORE THE SWING
Evaluators see the last name, the org on the shirt, and last year's team before a player takes a rep. Even the order players go in moves the scores. Blind evaluation strips the identifiers off the sheet until the grading is done.
ON THE LINEUP CARD THE ORDER IS BUILT ON HABIT
Fastest kid leads off. Biggest kid bats fourth. It is how it has always been done, and it quietly leaves runs on the field every week — usually by burying the player who gets on base the most.
IN THE RECRUITING PITCH A HIGHLIGHT REEL SHOWS TWELVE SECONDS
A reel shows a player at his best. It cannot show a hundred at-bats, a walk rate, or who he faced. College staffs know this, which is why the profiles that travel well are the ones with a full season behind them.
AFTER THE ROSTER POSTS EVERYONE HAS A THEORY BY MONDAY
A cut gets explained in the parking lot, not in writing, and the explanation shifts depending on who is asking. An audit reruns the decision against the numbers that existed at the time. Sometimes it confirms the coach — that result is worth having too.
The same nine players, two orders
Below is a real batting order built the way most orders get built, and the same nine players sequenced by a model. Toggle between them.
2 spots set by reputation
CLEAR ARCHITECTURE, PROVEN CONTEXT, NO BLACK BOX
Rather than relying on rigid, one-size-fits-all algorithms or gut feelings, our framework blends mathematical precision with the situational art of baseball. We evaluate the whole athlete across the core phase indices that drive run creation and prevention.
| Index | Core Focus | Weight in TPR * |
|---|---|---|
| OIR — Offensive Impact Rating | Hitting production, damage, and plate discipline | 45% |
| PIR — Pitching Impact Rating | Run suppression, command, and workload efficiency | 35% |
| DIR — Defensive Impact Rating | Fielding efficiency and position-adjusted reliability | 20% |
| TPR — Total Player Rating | Comprehensive composite of all active phases | — |
* Standard weighting. Emphasis may shift to fit the question being asked — a pitching-heavy roster or a defense-first evaluation can be weighted differently. Any change from 45/35/20 is stated in writing before work begins.
THE SCIENCE MEETS THE ART
Data only tells the truth when paired with proper context. Our framework stays rigorous and proprietary, but effective evaluation is an art.
Age and development curves. A metric at 10U means something vastly different at 14U or showcase levels. We weight and interpret numbers relative to developmental baselines.
Sample size integrity. We never draw definitive conclusions from noisy, limited data. Our reports state the reliability thresholds for every stat shown.
Role-specific context. TPR is a complete two-way valuation. For dedicated position players who do not pitch, we do not penalize the overall profile — we weight and elevate OIR and DIR so parents and coaches see true position value without distortion.
Runs per season
That is the real number, and it is smaller than any consultant will try to sell you. Four runs across a season sounds like nothing — until you remember that most bracket weekends turn on a single run.
The big one is roster construction. Picking the wrong players for a roster costs several times what a lineup card ever will, and it is the decision most exposed to who a coach already knows. That is the one worth doing blind.
What arrives, and what it looks like
Scouting & Benchmark Evaluation
One athlete, full season, benchmarked against a 50-player cohort.
PDF · 2 ppRead the full reportTeam EvaluationEnd-of-Season Team Report
Every qualifying player ranked across all three phases.
PDF · 4 ppRead the full reportLineup OptimizationBatting Order Blueprint
Before and after, with the rationale for every move.
PDF · 1 pRead the full reportAthlete AssessmentSummer Strength & Glove Work Report
One athlete benchmarked against a 30-player summer program, with before-and-after testing.
PDF · 2 ppRead the full reportTryout audit sample available on request.
The player performance profile
A full-season written report on one player: hitting and pitching lines, advanced rates, competition context, sample-size confidence bands, and a ranked list of development priorities. Optional add-on: benchmarking against any standard you name — existing teams, all-star squads, leagues, All-State rosters, national teams.
End-of-season team evaluation
Every qualifying player ranked across all three phases, with written findings explaining where the model disagrees with the eye test and why. Built so a coach can hand it to a parent.
Coaching and operational advisory
Team selection, tryout audits, and roster construction run against the numbers that existed at the time of the decision.
Optimized lineups and rotations
Sabermetric batting orders built to maximize run production, and pitching rotations built around arm health first.
DATA INTEGRITY & SAMPLE CONTEXT
Not all statistics stabilize at the same rate. Knowing which ones have settled and which ones have not is the difference between data and intelligence.
| Sample Depth | Typical | What It Supports | Confidence |
|---|---|---|---|
| Full season | ~100 AB | Developmental curves and true talent level | High |
| Extended weekend | ~6 IP / 12 AB | Approach, zone control, plate discipline | Moderate |
| Single outing | 3-6 IP or 2-4 AB | Mechanical trends, watched not concluded | Early |
DATA SCIENCE MEETS REAL-WORLD EXPERIENCE
Walk rate and strikeout rate settle early. Batting average and a short-stint ERA move on luck long after. Reading one as though it were the other is how a good player gets cut and a lucky one gets promoted.
Age-appropriate baselines. Thresholds built for youth and prep baseball, not borrowed from professional models.
Signal over noise. Isolating repeatable skill from tournament variance.
Our reports state the reliability threshold for every stat shown.
Tell us what decision you are trying to make
We will tell you whether the data can answer it before you pay for the answer.
Or reach us directly at info@carolinalefthander.com
