RangerAI — Greenwood Rangers Scouting & Tendencies

Demo data: a realistic synthetic opponent across two seasons so you can see the tool (and the recency weighting) work. Replace it with real data in the Data tab.

Recency weighting

Garbage-time filter

Weight tonight's plays

Down

Ball on — tap the field (drive start / to correct)

Own 25

Personnel (a big tell)

Hash (optional)

What happened?

Yards gained — tap exact yards, or 📍 for a big play

Result — when it isn't a normal gain

Sack = QB tackled behind the line. Scramble = QB dropped to pass, then ran — tag it here (not as a run) so a called-pass stays a pass; yards count as rushing.

Filter the film

Down

Distance

Field Zone

Personnel

Your Data

Opponent—

Plays (included)—

Seasons—

Run / Pass—

Model Performance

Honest test: predict each game using only the other games (how it'll really be used), then check the calls against what actually happened.

RangerAI model—

Base-rate guess—

Edge—

Confidence quality—

Seasons & Coaching Continuity

Past seasons only help if the same coordinators are calling plays. Untick a season to exclude it — note the staff so you remember why.

Recent games always count more than old ones (set above). Excluding a season removes it entirely.

Your Teams (Opponents)

Every opponent you import is kept here. Switch who you're scouting from the header dropdown or below. Your own team (Self-Scout) is a separate slot.

Import Scouting Data (CSV)

Load a CSV exported from Hudl or built in Excel. It's added to your teams (a same-named team is updated).

Self-Scout: Import Your Team's Offense (CSV)

Load your own offensive plays (same format) to see what you're tipping. Kept entirely separate from opponent data — it only feeds the Self-Scout tab.

Self-scout plays—

Expected Columns

Map your film breakdown to these. Missing optional fields are fine.