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The Research Lab is the deeper analysis surface — for when you’ve found a prop you’re interested in and want to understand the player, the matchup, or the correlation structure before placing.

Analysis modes

Player Analysis

Single-player deep dive. Performance trend, rolling hit rate (10-game window), and our combined probability estimate alongside the implied probability from current odds.

Defense vs. Position

How teams defend specific positions in specific stat categories. “Lakers rank 28th vs Point Guards in Assists” — that’s the data point.

Correlation Analysis

Pairwise correlation between players’ stat lines. How does Luka’s points relate to Kyrie’s assists? Heatmaps and scatter plots over the last 20 games.

Team SGP

Same-game-parlay construction informed by team-level historical correlation data.

Auto-insights

Each player + prop combination generates auto-insights:
  • 🔥 Hot / ❄️ Cold — significant deviation from season average over the last 5 games
  • 🏠 Home Advantage — meaningful home/away split for this player
  • 🛡️ Defensive Matchup — opponent ranks top-5 in defense against this position
  • 📊 Matchup History — how the player has performed historically against this specific opponent
These appear as colored cards above the chart so you can scan the situational context without reading every datapoint.

Custom betting line

Enter any specific over/under threshold (e.g., 25.5 points) to instantly see:
  • Hit rate over the last 20 games against that specific line
  • Home/away split at that line
  • A reference line drawn on every chart so you can see where each game landed
This is useful for any prop that’s not at our default — say, the line opened at 24.5 and is now 26.5, and you want to know which side actually has historical support.

Probability scenarios

The “What If” simulator lets you adjust input variables and see how the probability estimate moves:
  • Driver stat slider — change Luka’s points from 25 to 35 and see how it propagates to Kyrie’s assists, the team total, etc.
  • Pace adjustment — model a faster or slower game tempo
  • Minutes adjustment — what if a player gets blowout minutes vs. a normal load

Sport coverage

LeaguePlayer AnalysisDvPCorrelationTeam SGP
NBA✓ (PG, SG, SF, PF, C)
NFL✓ (basic by position)LimitedLimited
NHLGoalie + skaterLimitedLimited
UFC✓ (fighter)n/an/an/a
NCAABLimitedLimitedLimited
NCAAFLimitedLimitedLimited
NBA has the deepest support because that’s where we built first and where the historical data is densest.

Coming soon

Lineup correlation modeling

Tracked as enhancementHow does a player’s prop probability shift when specific teammates are/aren’t on the floor? Currently injury-adjusted but not full lineup-pair-aware.

Schedule / rest analysis

Tracked as enhancementBack-to-back vs. rested splits, surface-level analysis of fatigue effects on prop hit rates.