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Inside the GenStat breakdown

This is a sample of how a real GenStat play looks. You see the numbers and a plain-language explanation, so even newer users understand why the bot leans to the over or under.

Live-style example

Example of a single NBA player prop breakdown. Numbers are for demo only, but the layout matches what users will see when they run a play through GenStat.

Sample prop breakdown
Bot thinking in real time
Sample Player – Points
Line: 24.5 • Model projects: 26.1 • Matchup: Fast-paced game
Edge vs line
+7.2%
Model thinks the over is slightly profitable long-term.
Over probability
58.4%
Based on last 10 games + season + pace.
Recent form
7 / 10 hits
Cleared 24.5 in 7 of the last 10 games.
Confidence in lean Moderate
Bot verdict: Lean OVER 24.5
For newer users

What this actually means in simple terms

GenStat is basically saying: "If this same spot happened over and over again, the over on 24.5 points would win more often than it loses."

It looks at: last 10 games, his season averages, the pace of this matchup, and whether he's had any recent injuries or role changes.

In this example, he's gone over the line in 7 of his last 10 games, is projected slightly above the line, and the matchup is faster than normal – so the bot leans OVER 24.5, with moderate confidence.
  1. Bot lean (Over/Under): GenStat tells you which side it prefers – not a lock, but a lean.
  2. Why: Shows you hit rate, projection vs line, pace, and injury context.
  3. Your job: Use the info to decide if you like the risk for your card or flex.