Build a Roster-Based Playing Time Analyzer for College Recruits
People search: “college recruiting what are my chances of playing” (4K+ per month)
A recruiting research tool that reads public roster and depth data to show families the question nobody answers honestly: at which programs would this athlete actually see the field, based on graduating starters, positional depth, and historical freshman usage.
Many people search for college recruiting what are my chances of playing every month, and most of what they find is fluff. This page is the honest version: what it really takes, what it costs, and how to start.
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Keep browsing: All ideas · Top 10 · AI businesses · Free to start · More Sports & Recreation
Difficulty
Intermediate
Startup cost
$1,000 to $5,000
Time to first $
60 to 120 days
Revenue potential
Medium
Profit margin
70%-88%
Viability ⓘ
6.1 / 10
Search demand
Medium (4K+ per month on Google)
Where it runs
Online
Best for: A data-minded builder who knows youth sports culture and can keep the product honest about odds
The openingWhy this idea is overlooked
The recruiting industry sells exposure (highlight videos, showcases, contact lists) because exposure is easy to sell, while the decision families actually botch is fit: committing to a program that just signed three players at your position. Roster composition, class years, and playing time histories are public on every athletic site, but assembling them into a depth-chart forecast per recruit is tedious analytical work no exposure-seller has an incentive to do.
College recruiting what are my chances of playing: the honest path
Consider the steps below our honest answer to college recruiting what are my chances of playing: what actually works, in the order it works.
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