Basketball · NCAA D1

Scout at NBA depth. In minutes, not days, weeks, or months.

D1, mid-major, JUCO, HS, and your own roster, viewed through every position lens.

Everything your staff needs at their fingertips.

Open your staff meetings with answers, not questions.

The board condenses up the chain.

31 prospects → 6 shortlisted → 2 finalists. One model. Three lenses. Click a tab below to see what each role sees.

Analyst
31 prospects · 18 metrics
Builds the board
Position Coach
6 cards · scheme + behavior
Narrows to film-worthy
Head Coach
2 finalists · R/Y/G grade
Final call

Player names + model scores in the tabs below are real (BB Combined R/Y/G v1, 2026-27 forward predictions). Scheme flags + position-coach narratives are illustrative pending live Coach Suite onboarding.

Portal PG board: building the shortlist

Analyst view

Build the board. Share with the position coach.

Filters: Position: PG Eligibility: 2+ years Min BPM: 5.0 Scheme fit: ball-screen heavy Risk: All Showing 6 of 31 candidates
Player Class BPM Usage Roster Retention Risk Roster Retention Risk (RRR): the model’s read on how likely the player is to leave your program, on a 0–100 scale. Higher = more likely to enter the portal. Updated continuously as new signals come in. Trajectory Performance Trajectory: whether next-season production is heading Up, Stable, or Down. Built from the player’s prior-year rates, scheme context, and behavioral signals. Scheme Fit Scheme Fit: how cleanly the player’s game maps to your system. Green = clean match. Yellow = borderline / requires adjustment. Red = mismatch. Behavioral Social Signal Combined
Gavin Paull
Tennessee · So
So n/a n/a 0.04 +0.86 Rising 0.10 Match Coachable Clean 0.06 + board
Quan Lax
Austin Peay · Sr
Sr n/a n/a 0.06 +0.85 Rising 0.05 Match Coachable Clean 0.06 + board
George Perkins
Rice · Jr
Jr n/a n/a 0.11 +0.85 Rising 0.20 Match Coachable Clean 0.09 + board
Sencire Harris
Cincinnati · Jr
Jr n/a n/a 0.80 +0.34 Rising 50 Borderline Mixed Watching 0.59 + board
Trevon Payton
Arkansas Pine Bluff · Jr
Jr n/a n/a 0.67 0.00 Stable 50 Borderline Authority flag Frustration 0.59 pass

Analyst flags 3 to position coach for film + behavioral review. Payton filtered off. Risk + behavioral both pointing the wrong way.

Lead-guard shortlist: fit + behavioral read

Position Coach view

Three flagged. Scheme fit, behavioral read, can-the-player-run-our-offense.

Gavin Paull
Tennessee · So · Combo G
Strong fit
Transfer risk (v3)0.04
Trajectory score+86 / Up
Combined R/Y/GGreen / 0.06
PositionCombo G
Scheme transitionMatch (illustrative)
Survey signalpending intake
Illustrative position-coach narrative: Lowest combined risk score on the board (0.06) + Up trajectory. Three years of eligibility. Profile reads as a Year-2 breakout candidate. Behavioral + scheme-specific reads populate from intake survey + scheme-transition signal once onboarded.
→ Recommend to HC for spring visit
Quan Lax
Austin Peay · Sr · Combo G
Strong fit
Transfer risk (v3)0.06
Trajectory score+85 / Up
Combined R/Y/GGreen / 0.06
PositionCombo G
Scheme transitionMatch (illustrative)
Survey signalpending intake
Illustrative position-coach narrative: Sr eligibility (one year window) but Up trajectory at strong production. Mid-major-to-D1 jump is the variable; survey + film read tell us if game speed translates. Use this profile when staff needs a 1-year impact piece, not a 3-year build.
→ Recommend to HC for spring visit
Sencire Harris
Cincinnati · Jr · Combo G
Watch
Transfer risk (v3)0.80
Trajectory score+34 / Up
Combined R/Y/GMid / 0.59
PositionCombo G
Scheme transitionBorderline (illustrative)
Survey signalpending intake
Illustrative position-coach narrative: Interesting case. Up trajectory (+0.34) paired with high transfer risk (0.80). The model says he's developing well but the program-fit context is unstable. Read this as: talent is real, environment is the variable. Survey + social listening would tell us where the friction is. Hold for HC discussion.
→ Hold. Flag for HC if we don't land Paull/Lax

Lead-guard finalists: your decision

Head Coach view

Two finalists. Your call.

Rank 1

Gavin Paull, Tennessee · So

Combo G, Sophomore. Trajectory model reads Up (+86), Roster Retention Risk v3 reads 0.04 (Green), Combined 0.06. Lowest combined-risk score on the board with the steepest up trajectory. Three years of eligibility. Best floor + best development window. Illustrative behavioral + social signal commentary populate from survey + social listening once onboarded.
Analyst confidence
9/10
data fit
Position Coach confidence
9/10
illustrative
Social signal weight
n/a
pending intake
PROCEED: schedule official visit
Rank 2

Quan Lax, Austin Peay · Sr

Combo G, Senior. Identical Up trajectory (+0.85) with low Roster Retention Risk (0.06). One year of eligibility makes this a one-shot impact pick. Not a development build. Right profile if we need a 1-year ceiling raiser at the position. Illustrative survey + film read populate from intake.
Analyst confidence
8/10
data + projection
Position Coach confidence
8/10
illustrative
Social signal weight
n/a
pending intake
WATCH: strong fit IF eligibility window matches roster need

Each confidence score is the model's read. The head coach can override and re-weight. EDGE3 is decision support, not decision replacement.

How we test the models

EDGE3 trains its AI recruiting agents the way coaches train their players and teams: against past seasons that already played out. Every accuracy number below is tested on past seasons the model never trained on.

Roster Retention Risk · RRR v3
78% accuracy
Tested on past portal cycles. Players who actually transferred vs. players who stayed. The model significantly out-predicts chance on data it never saw during training.
Performance Trajectory · v1
73% / 74% accuracy
Tested on whose production actually rose, held, or declined the next season. Improving direction 0.733, declining direction 0.739. Real outcomes that already played out.
How accuracy reads: 50% would be a coin flip. 100% would be perfect. Anything 70%+ means the model is meaningfully better than guessing. We test by hiding past seasons the model never trained on, the same way you scout last year’s tape before this year’s game. Players without a prior-year baseline are flagged "No Baseline" rather than imputed.
Refined Positioning

How staffs actually talk about recruits, now operationalized.

One side of the table: "He’s a can’t miss." The other: "He can’t play for us." Where does he fit in our room? Who else are we bringing in? Who does he remind you of? The two questions every staff meeting opens with, answered continuously. EDGE3 has the read before the room sits down, and updates between meetings, not just at intake.

Player Comparison · Staff Language → System Output
"Who does this kid remind you of? How does he stack up in our room?"
EDGE3’s comparison engine surfaces the answer instantly.
  • Pulls similar archetypes from your historical roster, national player library, and your current board
  • Side-by-side rate comparison across performance, scheme fit, and behavioral profile
  • Live positional ranking against every player you’re evaluating
The comp and ranking appear the moment the analyst flags the player.
Retention + Trajectory · Where the market is broken
"If we take him, how long is he here?" "What’s the likelihood we keep him?"
EDGE3 answers that before it becomes a problem.
  • Continuous R / Y / G signal powered by surveys, family input, weekly stats, and social signals
  • Trajectory tier: Up / Stable / Down
  • Retention probability updates as the season evolves
Drift is flagged weeks before April 1, not after.
Validation case study

What we said in 2024 vs. what the production model says now

In 2024, before Chol committed to UNM, EDGE3 flagged the same friction context the production model still reads today, two years and two model versions later. Drivers don’t move because they were never random.

2024 · Before commitment
EDGE3 Fit & Usage Risk Model · Pre-commitment report

Antonio Chol: projected risk read

Fit Score62.3 / 100
Risk Index37.7 / 100
Risk tierModerate to High
Risk drivers identified: Distance from home (Buffalo NY to Albuquerque ~1,800 mi · NCAA BB transfer avg is 643 to 746 mi). Prior portal history (former Rutgers). Repeat transfer pattern (Rutgers → JUCO → UNM). Socioeconomic stressors.
2026 · Production model
BB Combined R/Y/G v1 · Refreshed monthly

Antonio Chol: current signal

Roster Retention Risk Roster Retention Risk (RRR): how likely the player is to leave, on a 0–100 scale. 59% means elevated risk relative to peers.59% (Elevated)
Trajectory Performance Trajectory: direction next-season production is heading. +20 / Up means meaningful improvement expected.+20 / Up
Combined R/Y/G50% · Yellow
Model’s verbatim coach_insight: “Friction context: prior portal entry, repeat transfer, playing far from home.” Same drivers. Different decade. Independent validation.
What this proves
EDGE3’s risk-driver attribution is stable across model versions and validated on real outcomes that already happened. The model didn’t just predict at intake. It persists, updates, and surfaces the same actionable signal years later. That’s the loop in action. Watch the loop in motion →
Coach Olen’s request
The ask
Compare three transfer prospects against UNM’s thresholds. Find the slot fits for the 2025-26 frontcourt.
What EDGE3 delivered
Sports Reference verified rates. FIBA performance + injury records. Prior transfer + opportunity context. Three slot-fit grades against the 2025-26 baseline: Anya A-, Butka B+, Petraitis C+.
EDGE3 Personalized AI Recruiting Agents
Configured to surface what’s known, and what’s typically hard to access. Sports Reference advanced rates, FIBA + international records, conference media guides, and public archives, consolidated into one read. Today: data and decisions, delivered in one read.

Model coverage

D1 coverage and refresh cadence at a glance.

D1 players scored
4,979
2026–27 forward
Programs covered
365
all D1
Refresh cadence
Monthly
model + data

One use case. One live engine.

See a real EDGE3 deliverable. Then play with the live engine yourself.

Go deeper

Intelligence Loop

Survey + parent + weekly stats + social listening. The four streams that update your roster signal continuously.

Read the doc

Social Listening

What it watches (and doesn’t), how it feeds the model, what shows up on your dashboard.

Read the doc

Models

BB Roster Retention Risk v3 (78% accuracy), Performance Trajectory v1 (improving 0.733 / declining 0.739), Combined R/Y/G. Tested on past seasons the model never trained on. Coaching system fingerprints across 365 programs.

Open model docs

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