How Varsity Data Works

Understand the system in under 45 seconds: rank conviction, find salary value, and choose a profile that matches your contest strategy.

  • Rank conviction with V-Score.
  • Find salary value with Edge.
  • Choose profile by contest risk and lineup goal.
Varsity Data report view preview

See It In Real Reports

These are real report surfaces used to make lineup decisions before lock.

Rankings view with V-Score and Edge signals
Rankings view: V-Score + Edge + tags drive the player pool.
Profile compare view showing lineup strategy differences
Profile compare: lineup construction changes by strategy profile.

Next: choose which optimization profile to trust for this slate.

Optimization Profiles

After reviewing Rankings and Lineups, use these profiles to choose the right build strategy.

Profile availability rules
  • Top Projection, Varsity, Edge: require salary + projection core coverage >= 70%.
  • Red Hot: requires at least 4 Red Hot eligible golfers.
  • Horse for the Course: requires at least 3 Horse for the Course eligible golfers.
Top Projection
Projection-first lineup construction.
Best for: Projection benchmark and baseline lineup quality checks.
Rule: Requires salary + projection core coverage >= 70%.
Varsity
HorseScore-style balanced lineup with projection floor and risk controls.
Best for: Balanced all-around builds for most slates and contest types.
Rule: Requires salary + projection core coverage >= 70%.
Varsity v4
Validated Varsity profile using the latest site-specific model recipe.
Best for: Latest validated Varsity recipe with site-specific model improvements.
Rule: Requires salary + projection core coverage >= 70%; V4 source data is checked at generation time.
Varsity Sharp
Value-disciplined Varsity profile that avoids overpriced plays.
Best for: Value-disciplined Varsity builds that avoid overpriced plays.
Rule: Requires Varsity v4 source coverage and excludes AVOID price tags before optimization.
OWGR Class
Class-aware lineup blending projection, value, OWGR average points, and recent trend.
Best for: Class-aware builds that blend projection, DataGolf value, OWGR average points, and recent trend.
Rule: Requires salary + projection core coverage and OWGR average-points coverage >= 40%; ready at >= 70%.
Pivot 0.86
Zero-overlap DK pivot using the fixed 0.86 projection floor.
Best for: DK zero-overlap pivot builds with the fixed 0.86 projection floor.
Rule: DraftKings only; requires an internal Varsity reference lineup.
Varsity Pivot
Zero-overlap DK pivot built against the Varsity reference lineup.
Best for: DK zero-overlap alternatives to the Varsity reference lineup.
Rule: DraftKings only; requires an internal Varsity reference lineup.
Ceiling Value
GPP ceiling-per-dollar lineup hunting salary unlocks and spike-value builds.
Best for: Ceiling-per-dollar GPP builds that hunt salary unlocks and spike-value plays.
Rule: Requires salary + projection core coverage >= 70%; uses the value optimizer recipe for lineup generation.
Value
DataGolf value optimizer with projection and player protection guardrails.
Best for: DataGolf value builds that maximize the normalized value metric with player protection guardrails.
Rule: Requires salary + projection core coverage and DataGolf value coverage >= 70%.
Apex (Beta)
Synthetic consensus lineup composed from existing model outputs.
Best for: Beta consensus builds composed from already-generated model lineups.
Rule: Requires enough source model lineups to form a legal zero-risk Apex build.
Early/Late Only
Max Varsity lineup using only EARLY/LATE wave golfers.
Best for: Wave-specific build using only EARLY/LATE golfers while maximizing Varsity score.
Rule: Requires at least 6 EARLY/LATE golfers with valid core inputs.
Late/Early Only
Max Varsity lineup using only LATE/EARLY wave golfers.
Best for: Wave-specific build using only LATE/EARLY golfers while maximizing Varsity score.
Rule: Requires at least 6 LATE/EARLY golfers with valid core inputs.
Edge
Undervalue-focused lineup with projection and conviction guardrails.
Best for: Value-focused builds when pricing inefficiencies are the edge.
Rule: Requires salary + projection core coverage >= 70%.
Odds
Aggressive win-probability lineup focused on market odds.
Best for: Aggressive win-probability-first builds based on market pricing.
Rule: Requires salary + projection core coverage >= 70% and win-odds coverage >= 70%.
Red Hot
Hot-form gated lineup using upload-only last-5 finishes and HorseScore objective.
Best for: Form-tilted GPP constructions with upside emphasis.
Rule: Requires at least 4 Red Hot eligible golfers.
Horse for the Course
Course-history gated lineup with HorseScore objective and projection floor.
Best for: Course-history weighted builds when venue repeatability matters.
Rule: Requires at least 3 Horse for the Course eligible golfers.

Core Signals

Use these three signals together for faster, cleaner decisions.

V-Score

What: Model conviction score for player quality independent of raw projection rank.

How to use: Start your pool with top V-Score players, then pressure-test with Edge and risk tags.

Edge

What: Salary-relative value signal using expected salary curves, not just absolute output.

How to use: Prioritize UNDERPRICED and VALUE players that still fit your contest risk target.

Risk + Role Tags

What: Context labels for lineup construction (e.g., SAFE/NEUTRAL/RISKY and role tiers).

How to use: Use tags to avoid fragile combinations and keep lineup structure intentional.

4-Step Workflow

Simple pre-lock flow for consistency and speed.

Maverick Slate Chat

Maverick is a dedicated slate chat experience that complements Copilot when you want to stay inside one report.

Focused report chat

Use Maverick to ask slate-specific questions, compare player decisions in context, and continue a focused chat from the report you already have open.

Copilot is still the broader workflow assistant. Maverick keeps the conversation anchored to the current slate so the next question starts from the same report context.

Start from a report

Find a slate, open the report, then use Maverick for follow-up questions while you work through rankings, profiles, and lineup choices.

Find a Report

FAQ

Quick definitions for the terms you see in report views.

What is V-Score?Show

V-Score is Varsity Data's conviction score for player quality. It helps rank players beyond raw projection lists.

What is Edge?Show

Edge measures salary-relative value. A player can have a strong projection but still be FAIR or PRICEY at a given salary.

Why do profiles differ?Show

Profiles intentionally change lineup construction priorities (projection, balance, value, form, or course-history emphasis).

Do I need all profiles?Show

No. Start with Varsity as default, then compare one alternate profile that matches your contest style.