📡 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 |
← Aug 10 →
Wins
0
Losses
0
Push
6
Win %
0%
Pending
0
Mon 10/19 Sun 10/18 Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
13
Total Bases 1.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.1
Fit
0
19
Total Bases 1.5 OVER
44.4 D
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
20.4
Fit
0
20
Hits 1.5 OVER
44.3 D
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
20.9
Fit
0
21
Total Bases 1.5 OVER
44.3 D
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
20.1
Fit
0

📋 Full Board (943 picks · Page 27/38)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
696 Gunnar Henderson BAL BAL @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
697 Hunter Feduccia LAD KC @ LAD Runs Batted In 0.5 3.2 D 9.2 -5 Pending
698 Isaac Collins KC KC @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
699 Isaac Paredes HOU HOU @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
700 J.T. Realmuto PHI PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
701 Jacob Wilson OAK TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
702 Jake Burger TEX TEX @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
703 Jake Cronenworth SD MIL @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
704 Jared Young NYM NYM @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
705 Jeff McNeil OAK TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
706 Jeremy Pena HOU HOU @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
707 JJ Wetherholt STL PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
708 Jonah Bride TEX TEX @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
709 Jonah Heim OAK TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
710 Jordan Beck COL COL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
711 Jose Fermin STL PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
712 Jung Hoo Lee SF HOU @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
713 Justin Crawford PHI PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
714 Justin Foscue TEX TEX @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
715 Kazuma Okamoto TOR BOS @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
716 Kyle Isbel KC KC @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
717 Kyle Karros COL COL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
718 Lars Nootbaar AZ COL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
719 Luis Campusano SD MIL @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
720 Luis Lara MIL MIL @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 651–675 of 943 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.