Pick Tracking
Turn prop research into a feedback loop.
Save the props you review, track the line and model context behind each decision, then review results by market, confidence band, and model over time.
Tracking dashboard
Recent picks and performance context.
Recent tracked picks
J. Brunson
Points o27.5
N. Jokic
Assists o9.5
A. Edwards
PRA o32.5
Performance snapshot
Hit rate
58%
ROI
+6.4%
Best market
Assists
Leak to watch
Reb unders
Tracking shows where your process is working - and where it needs tightening.
Why tracking matters
Make the outcome part of the research process.
Stop relying on memory
Save the prop, line, model, confidence, and context behind each decision.
Find your best markets
Review performance by prop type, market, confidence band, and model.
Spot leaks early
See where results are underperforming before bad patterns compound.
How it works
Save a prop
Add reviewed props from the slate without losing the model context.
Record the context
Keep line, market, confidence score, and model version attached.
Reconcile the result
Grade outcomes once stats settle so the history stays useful.
Review performance
Find which markets, models, and confidence bands are working.
What you can analyze
Turn saved decisions into useful breakdowns.
The feedback loop
Pick Tracking connects the scanner and model builder. The goal is not just to record wins and losses - it is to understand which parts of your process deserve more review.
Scan
Save
Grade
Learn
Adjust model
Start building your tracking history.
Save reviewed props, reconcile outcomes, and learn which parts of your prop research process are working over time.
Start tracking picksFAQ
Pick Tracking questions
Is Pick Tracking a betting advice tool?+
No. Pick Tracking is an analytics and research tool for recording decisions and reviewing outcomes. It does not place bets or guarantee results.
What can I track?+
You can track reviewed props, lines, markets, model context, confidence scores, outcomes, units, and performance over time.
Can I compare models?+
Yes. Tracking is designed to help compare how models perform by market, confidence band, and result history.
Does tracking guarantee better results?+
No. Tracking helps you understand your process, but it cannot guarantee outcomes or future performance.