📡 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 |
← Sep 7 – Sep 20 →
Wins
21
Losses
22
Push
3
Win %
48.8%
Pending
0
Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
NY @ TORONTO WNBA
Points 16.5 OVER
77.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
87
Clean
22.8
Fit
4
2
POR @ LA WNBA
Points 7.5 OVER
76.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
85
Clean
22.8
Fit
4
3
POR @ LA WNBA
Points 14.5 OVER
75 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
83
Clean
22.4
Fit
4
4
SEA @ LV WNBA
Points 13.5 OVER
71.2 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
77
Clean
21.7
Fit
4

📋 Full Board (2103 picks · Page 29/85)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
701 Cooper Pratt MIL MIL @ BAL Total Bases 1.5 6.5 D 9.4 -5 Pending
702 Justin Crawford PHI PHI @ NYM Total Bases 1.5 6.5 D 9.4 -5 Pending
703 Nick Allen HOU ATL @ HOU Total Bases 1.5 6.5 D 9.4 -5 Pending
704 Bryce Young — PASS YDS 224.5 6.5 D -1.3 -5 Pending
705 Andrés Chaparro WSH WSH @ STL Total Bases 1.5 6.5 D 9.2 -5 Pending
706 Francisco Alvarez NYM PHI @ NYM Runs Batted In 0.5 6.5 D 9.2 -5 Pending
707 Munetaka Murakami CWS DET @ CWS Total Bases 1.5 6.5 D 9.2 -5 Pending
708 Turner Hill SF SF @ LAD Runs Batted In 0.5 6.5 D 9.2 -5 Pending
709 Sophie Cunningham WSH @ IND 3-Pointers Made 1.5 6.4 D 2.3 -6 Pending
710 Mack Hollins — Receptions 3.5 6.3 D -0.9 -5 Pending
711 Jayden Reed — REC YDS 37.5 6.3 D -0.4 -5 Pending
712 Tony Pollard — RUSH ATT 11.5 6.2 D -1.8 -5 Pending
713 Brice Matthews HOU ATL @ HOU Total Bases 1.5 6.1 D 9.2 -5 Pending
714 Christian Koss SF SF @ LAD Runs Batted In 0.5 6.1 D 9.2 -5 Pending
715 Dylan Crews WSH WSH @ STL Total Bases 1.5 6.1 D 9.2 -5 Pending
716 Enrique Hernandez LAD SF @ LAD Runs 0.5 6.1 D 9.2 -5 Pending
717 Enrique Hernandez LAD SF @ LAD Total Bases 1.5 6.1 D 9.2 -5 Pending
718 Freddie Freeman LAD SF @ LAD Runs 0.5 6.1 D 9.2 -5 Pending
719 J.T. Realmuto PHI PHI @ NYM Hits 0.5 6.1 D 9.2 -5 Pending
720 Jac Caglianone KC KC @ PIT Runs 0.5 6.1 D 9.2 -5 Pending
721 Jake Bauers MIL MIL @ BAL Total Bases 1.5 6.1 D 9.2 -5 Pending
722 Jake Mangum PIT KC @ PIT Runs Batted In 0.5 6.1 D 9.2 -5 Pending
723 Jonah Cox SF SF @ LAD Runs 0.5 6.1 D 9.2 -5 Pending
724 Maikel Garcia KC KC @ PIT Runs Batted In 0.5 6.1 D 9.2 -5 Pending
725 Miguel Rojas LAD SF @ LAD Runs 0.5 6.1 D 9.2 -5 Pending
Showing 701–725 of 2103 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.