📡 SCORES
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⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← May 14 →
Wins
1
Losses
5
Win %
16.7%
Pending
0
Sun 11/1 Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Hits 0.5 OVER
56.5 C
  • Heavy minutes projection
  • Stable player role
Raw
71
Clean
21.4
Fit
0
2
Hits 0.5 OVER
56.4 C
  • Heavy minutes projection
  • Stable player role
Raw
71
Clean
21.2
Fit
0
3
Total Bases 1.5 OVER
55.9 C
  • Heavy minutes projection
  • Stable player role
Raw
71
Clean
20.4
Fit
0
4
Hits 0.5 OVER
55.4 C
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
20.7
Fit
0

📋 Full Board (791 picks · Page 19/32)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
451 Kyle Harrison MIL MIL @ SD Strikeouts 7.5 7.1 D 11.1 -5 Pending
452 Brent Rooker OAK STL @ OAK Hits 2.5 7.1 D 11.5 -5 Pending
453 Ryan Kreidler MIN MIA @ MIN Hits 3.5 6.8 D 10.3 -5 Pending
454 Miguel Vargas CWS KC @ CWS Runs Batted In 1.5 6.8 D 9.2 -5 Pending
455 Xander Bogaerts SD SD @ MIL Total Bases 1.5 6.8 D 9.2 -5 Pending
456 Munetaka Murakami CWS KC @ CWS Hits 1.5 6.7 D 10.3 -5 Pending
457 Ha-Seong Kim ATL ATL @ CHC Total Bases 1.5 6.7 D 9.2 -5 Pending
458 Hayden Senger NYM DET @ NYM Home Runs 0.5 6.6 D 9.2 -5 Pending
459 Marcus Semien NYM DET @ NYM Home Runs 0.5 6.6 D 9.2 -5 Pending
460 James Outman MIN MIA @ MIN Total Bases 2.5 6.5 D 9.2 -5 Pending
461 Sam Antonacci CWS KC @ CWS Runs 1.5 6.5 D 9.2 -5 Pending
462 Xander Bogaerts SD SD @ MIL Hits 1.5 6.5 D 9.2 -5 Pending
463 Jacob Lopez OAK STL @ OAK Strikeouts 5.5 6.4 D 11.7 -5 Pending
464 Bryson Stott PHI PHI @ BOS Runs Batted In 0.5 6.1 D 9.2 -5 Pending
465 Derek Hill CWS KC @ CWS Runs Batted In 1.5 6.1 D 9.2 -5 Pending
466 Drew Romo CWS KC @ CWS Total Bases 1.5 6.1 D 9.2 -5 Pending
467 Freddy Fermin SD SD @ MIL Hits 1.5 6.1 D 9.2 -5 Pending
468 Freddy Fermin SD SD @ MIL Total Bases 1.5 6.1 D 9.2 -5 Pending
469 Munetaka Murakami CWS KC @ CWS Runs 1.5 6.1 D 9.2 -5 Pending
470 Nick Castellanos SD SD @ MIL Total Bases 2.5 6.1 D 9.2 -5 Pending
471 Andrew Vaughn MIL MIL @ SD Runs 1.5 6 D 9.6 -5 Pending
472 Brandon Marsh PHI PHI @ BOS Runs 1.5 6 D 9.6 -5 Pending
473 Carlos Cortes OAK STL @ OAK Hits 1.5 6 D 9.6 -5 Pending
474 Casey Schmitt SF SF @ LAD Hits 1.5 6 D 9.6 -5 Pending
475 Freddie Freeman LAD LAD @ SF Hits 1.5 6 D 9.6 -5 Pending
Showing 451–475 of 791 picks

Methodology

A unified ranking engine that scores every pick on a 0–100 scale — props, sides, and totals on one board.

The Nex Engine doesn't just find edges — it ranks them. Every candidate pick runs through a four-layer scoring system that weighs the raw data, the play type's historical reliability, role stability, and how well it fits a winning daily card. The result is a single number that tells you exactly where each play stands relative to every other play on the board.

The 4 Scoring Dimensions

Raw Edge (50% weight) — The foundation. For props, this measures hit rate vs. the line, projected stat edge, minutes security, role stability, and usage opportunity. For sides, it factors injury edge, home court advantage, team strength gaps, recent form, and market alignment. This is where the pure data advantage lives.

Play-Type Trust — Not all play types are created equal. Moneylines on home favorites, star player rebounds, and small spreads have historically higher conversion rates — so they score higher. Role-player 3PM props and large spreads get docked because the variance is too high. This layer filters out plays that look good on paper but don't cash consistently.

Cleanliness — A stability check. Star players with locked-in minutes and defined roles score higher. Bench players, blowout-risk games, injury-dependent usage bumps, and hot-shooting reliance all get penalized. Clean plays are repeatable plays.

Card Fit — Built for daily card construction. This layer favors the pick types that historically perform on daily cards — moneylines, star rebounds and assists, tight spreads. It deprioritizes picks that might have edge in isolation but don't build well into a cohesive card.

Reading the Board

Score 75+ — Elite territory. These plays have strong edge across all four dimensions. The engine's highest conviction picks.

Score 65–74 — Strong plays with solid fundamentals. Multiple dimensions are firing and the overall profile is clean.

Score 55–64 — Above average. The edge is there, but one or two dimensions may be weaker. Still viable, especially in combination with other signals.

Below 55 — Below the recommended threshold. The engine sees some edge but not enough to rank it as a confident play.

The Nex Board rebuilds automatically as new odds and stats flow in. Scores and rankings can shift throughout the day as the market moves.