Turn basketball information intobasketball decisions.
Acquire players. Develop players. Coach players.
Your program already has film, statistics, scouting reports, portal lists and years of coaching knowledge. Coach Ready is being built to connect the player, the program, the system, the playbook, the roster and the opponent — and translate all of it into intelligence a staff can actually act on.
Boyd's decision-making under ball pressure, defensive versatility and switch-attacking profile line up unusually well with a five-out system that reverses the ball twice and hunts mismatches. Two higher-rated guards on the board score better on raw talent and worse on every dimension our staff actually plays through.
0.98 PPP as the switch attacker — our most-run late-clock action.
Guarded positions 1-3 on 38% of possessions; we switch 1-4.
Produced at 22% usage; our open role sits at 20-24%.
Acquire How you get players | Develop Making players better | Coach Preparing for and running games | |
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Train the read, not the terminology.
Twelve short decision reps built from real defensive situations. The play runs to the moment your defender has to choose, and you make the call.
- 1Watch the playIt runs action by action, up to the decision.
- 2Get one factWhat we know about the player in the action. Nothing else.
- 3Make the callTell your defender what to do, on a five-second clock if you want it.
- 4See what happensThe play finishes. Then you find out if the read held up.
Don't just find the best player. Find the best player for your program.
A recruiting service answers how good a player is. Coach Ready answers how good he is for you — because value is contextual. Same board, same staff, two different conclusions.
Highest talent grade on our board. Fit is real but narrower than it looks.
Not the highest-rated guard available. The best guard available for us.
Hale grades as the stronger player overall — bigger, more athletic, already switching 1-4 at high-major speed. Boyd projects as the better acquisition for this roster and this system. Your offense asks every guard to make a second read on a reversal and to attack a switch off two feet; Boyd has done that at volume, Hale has not done it at all. Your open role is 20-24% usage with connective passing, which matches Boyd's production and conflicts with Hale's stated expectation of on-ball reps.
Three inches, three years of eligibility, and the best individual defender on the board. If your priority shifts to a switch-everything defensive identity, Hale's fit rises sharply.
A guard who fills the #1 roster gap immediately and whose decision profile does not degrade against ball pressure — the specific failure mode that cost you four late-clock possessions per game.
Hale has no completed interview, no reference checks and 43 corner-three attempts. His 86 is built on a thinner evidence base than Boyd's 94 and could move either direction.
Coach Ready is built to say “we don't know yet.” Where evidence is thin, or where analytics and film disagree, the product surfaces it instead of manufacturing certainty.
- ?Hale: coachability and communication preferences — no structured interview completed.
- ?Hale: passing under live pressure — insufficient film at meaningful usage.
- ?Boyd: how his AST:TO holds against high-major length, not just mid-major pressure.
- ?Both: analytics and film disagree on Hale's closeout discipline — film is more favorable than the numbers.
Player × Program × System × Role × Roster × Coach.
Program Identity is not a settings page — it is the program side of the Fit Engine. The Player Intelligence Profile is the player side. Fit is what happens when the two meet.
Program Identity
Offensive and defensive philosophy, playbook, tempo, positional requirements, preferred archetypes, rotation and development philosophy, culture expectations, roster construction, what your staff values — and what it avoids.
What Coach Ready learns about your program →Player Intelligence Profile
Traditional and advanced statistics, film-derived tendencies, physical attributes, development trajectory, basketball IQ and decision-making, role history and expectations, coachability, work habits, references and player-submitted information.
We don't possess or validate all of this today — the prototype shows what it could be
The shortage isn't information. It's translation.
A staff can pull possession data from one system, film from another, portal availability from a third, and advanced metrics from a fourth — and still be sitting in a Tuesday staff meeting arguing about what to run on Wednesday.
Aggregation isn't the answer
Connecting sources is table stakes and other companies can do it. The value is what happens after the data exists.
Dashboards describe. Coaches decide.
A percentage on a screen is not a decision. A decision names the action, the personnel, the reason, and the film.
Generic basketball AI misses the point
The right answer depends on your system, your playbook, your personnel and what your staff values. Fit is program-specific.
Get the right players. Make your players better. Win the next game.
Acquisition, development and competition are not three products. They share the same Program Identity, the same player intelligence and the same playbook — so a decision in one shows up in the others.
Find the right players for your program.
Wing who can guard 1 through 3 and shoot off movement — thinnest spot on next year's projected two-deep.
- 2H 14:22Switch hunt → shoulder attack
- 1H 06:41Late-clock two-side reversal
Sample clip references
Understand how to develop and use the players you have.
Composite effectiveness begins declining after roughly seven consecutive minutes of court time, and falls sharply after minute eight.
Turn personnel, playbook and opponent intelligence into a game plan.
Switches 71% of side ball screens — 84% on the empty side after halftime.
17B is our highest-volume action against switching (148 runs, 1.11 PPP).
After 4-6 possessions they typically pre-switch before contact and jump the ball handler, taking away the shoulder attack.
51 SlipSlip counter. Same alignment, screener slips before contact, guard delivers early to the roll with a 45 cut behind the rotation.
- at WSU — 2H 12:40Westbrook switches the empty side
- vs. Ridgeway — 1H 08:15Our 17B vs. a similar switch team
Sample clip references
The Fit Engine should get better at your program every season.
Today the Fit Engine reasons from program identity and player intelligence. The longer-term design is a closed loop: store the prediction, watch what actually happens, and compare the two. This loop is a concept — it is not running yet.
- Step 01
Program defines identity
Systems, archetypes, roles, rotation and culture expectations are recorded as structured program intelligence.
- Step 02
Coach Ready evaluates fit
Player Intelligence Profile is compared against this program — not against a national ranking.
- Step 03
Program acquires the player
The staff makes the decision. The prediction, the reasoning and the open questions are stored with it.
- Step 04
Coach Ready observes what happens
Minutes, role, production, development curve, retention — the real outcome, not the projection.
- Step 05
Prediction is compared to outcome
Which dimensions predicted the result here? Which did this staff overvalue or undervalue?
- Step 06
Future fit assessments improve
The engine becomes program-specific over seasons: which archetypes actually succeed in this system, for this coach.
- Which player archetypes actually succeed in our system?
- Which transfer profiles have worked here, and which have not?
- Which recruits developed more than we projected?
- Which strong fits failed — and what did we miss?
- What characteristics does our staff consistently overvalue?
- What appears associated with players staying in the program?
“He plays 32 minutes” is data. This is a decision.
Effective Minutes is a prototype model that looks for where a player's actual effectiveness starts to change inside a stint — then translates it into a rotation decision.
Consecutive minutes in a stint · 24 games, 61 uninterrupted stints
Composite effectiveness begins declining after roughly seven consecutive minutes of court time, and falls sharply after minute eight.
His second-half effectiveness is strongest in shorter stretches, not in longer runs. The current 32 minutes are being spent inefficiently, not overspent.
Consider 5-6 minute shifts rather than extended runs. Same total minutes, projected +2.1 points of offensive value per game in the prototype model.
- eFG% drops from 55% (minutes 1-7 of a stint) to 43% (minute 8+)
- Turnover rate rises 11.8% → 17.2% in the same split
- Closeout distance covered falls ~0.6 yards on tracked possessions
- Defensive FG% allowed rises 44% → 52% after minute eight
Their tendency → our best response → why → the tape → their counter → our counter.
Scouting products can tell you what an opponent does. The harder question is what you should do about it with your personnel and your playbook.
Westbrook State switches 71% of side ball screens — 84% on the empty side after halftime.
Run 17B — Empty-side switch hunt.
- Westbrook switches 71% of side ball screens — 84% on the empty side after halftime.
- 17B is our highest-volume action against switching (148 runs, 1.11 PPP).
- Lang produces 0.98 PPP attacking a switched big; Rowe is their most-switched-onto big.
- Rowe averages 4.4 fouls per 40 — repeated attacks raise his foul risk early.
- at WSU — 2H 12:40Westbrook switches the empty side
- vs. Ridgeway — 1H 08:15Our 17B vs. a similar switch team
Clip references are sample placeholders in this prototype
After 4-6 possessions they typically pre-switch before contact and jump the ball handler, taking away the shoulder attack.
51 SlipSlip counter. Same alignment, screener slips before contact, guard delivers early to the roll with a 45 cut behind the rotation.
“Tape don't lie.” Every recommendation carries its reasoning.
A coach shouldn't have to be a data scientist, and shouldn't have to take a black box on faith. The product's job is to make a great coach a dramatically better analyst — not to replace coaching judgment.
Explainable by default
- 01Data — statistics, film, tendencies, program-entered information
- 02Insight — what the pattern actually is
- 03Coaching implication — what it means for your team
- 04Recommended action — the specific call from your playbook
- 05Supporting film — the possessions that back it up
Program Identity makes it yours
Your offensive and defensive philosophy, playbook, preferred archetypes, rotation rules and what your staff values in players are all first-class product inputs. The same software scales nationally; the intelligence is built around one program.
That is why the same player can be a 94 fit for one program and a 71 for another.
The longer-term vision →Existing systems become inputs, not competitors.
We are not building another film library or another statistics dashboard. Over time, these are the kinds of sources we expect to bring together. None of them are connected today, and we are not claiming any partnership or license.
Want to see what this would say about your team?
The demo runs on a fictional program instance with sample data so you can walk the full workflow. If it maps to how you actually make decisions, we want to hear where it's wrong.