🎯 1. Event & Market

Event lists the game (e.g., Chiefs vs Bills).

Market identifies the prop type — Passing Yards, Rebounds, Strikeouts, etc.

💰 2. Sportsbook Columns

Each sportsbook (FanDuel, DraftKings, BetMGM, Fanatics) shows its line and odds. Toggle checkboxes above the table to include/exclude books in the Consensus.

📊 3. Consensus & No-Vig Odds

Consensus = average sportsbook line (your fair baseline).

Best No-Vig removes the vig to find the “true” win probability.

P_over  = 100 / (A + 100)
P_under =  B / (B + 100)
Fair Over %  = (P_over / (P_over + P_under)) × 100
Fair Under % = (P_under / (P_over + P_under)) × 100
        

🎮 4. DFS Lines (PrizePicks / Underdog / Betr)

DFS lines are compared against the Consensus line and the Best No-Vig side. The Best No-Vig cell tells you whether the sharper side is Over or Under.

• Green cells mean the DFS line is favorable for the Best No-Vig side. This could be an Over or an Under depending on what the Best No-Vig cell says.
• Red cells mean the DFS line is unfavorable or on the wrong side compared to the Best No-Vig side.
• Yellow cells mean neutral or little-to-no useful edge.
• 🧠 High Win % — triggered when the play has a 54%+ no-vig probability and is close to consensus.
• 🔥 Strong Edge — triggered when the DFS line gives a stronger advantage versus consensus. More flames means stronger value.
• ⚡ Line Mismatch — triggered when a DFS platform disagrees with the sharp market direction, which may signal a pricing inefficiency.

💡 Tip: First check the Best No-Vig side, then look for green, 🧠, 🔥, or ⚡ signals on the DFS platforms.

⚙️ 5. Filter Buttons Explained

Filters use a dynamic model that evaluates both line value and win probability. Not every difference is a true edge — these tools are designed to surface only meaningful opportunities.

• 📈 PrizePicks +EV — shows player props where the PrizePicks line is better than the market. Uses a combination of line difference, consensus comparison, and win probability to identify true value plays. Adjusts automatically across sports (NBA, NFL, MLB, etc.).
• 🧩 Underdog +EV — highlights props where Underdog’s line offers a measurable edge versus consensus. Applies the same dynamic model as PrizePicks, filtering out low-quality or misleading differences.
• 🎯 Betr +EV — identifies props where Betr is mispriced relative to the broader market. Particularly useful for spotting softer or slower-moving lines before they adjust.
• 🔥 Ben's Picks — curated premium plays that combine strong expected value, high no-vig win percentages, and major line mismatches. Includes brain picks 🧠, fire picks 🔥, and the strongest sportsbook vs DFS discrepancies. Designed to surface the best overall plays quickly for mobile and desktop users.
• 🧠 High Confidence (54%+) — filters to props where the model estimates at least a 54% win probability. These tend to be safer, higher hit-rate plays, though they may not always offer the largest pricing edge.
• ⚔️ DFS Line Diff — highlights props where PrizePicks and Underdog disagree on the same player/stat. These discrepancies often indicate uncertainty, projection changes, or early opportunities before markets settle.
• ♻️ Reset Filters — clears all active filters and restores the full dataset so you can explore all available props again.

💡 Pro Tip

Combine Consensus + No-Vig % + DFS Δ to find strong edges. If DFS line < Consensus and No-Vig Over > 54 %, that’s a high-value indicator.

📘 Math Insight — Fixed Odds & Long-Term Probabilities

DFS sites use fixed payout multipliers (M×). The break-even probability shows how often each pick must win to be neutral long-term.

If an entry pays M× when all n picks win:
 Wⁿ × M = 1 → W = (1 / M)^(1/n)

Where W = per-pick win probability, n = picks, M = payout multiplier.
Example: 2-Pick paying 3× ⇒ (1/3)^(1/2) ≈ 0.577 → 57.7 %.
        

A higher multiplier increases variance but doesn’t dramatically raise the required win rate.