📡 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 |
← Jul 8 →
Wins
3
Losses
3
Win %
50%
Pending
0
Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
MIN @ CON WNBA
Rebounds 7.5 OVER
63.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
21.9
Fit
5
2
GSV @ TORONT WNBA
Points 20.5 OVER
62.1 C+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
20.5
Fit
4
3
GSV @ TORONT WNBA
Points 9.5 OVER
61.5 C+
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
22
Fit
4
4
IND @ LA WNBA
Points 16.5 OVER
57.2 C+
  • Projected edge vs line
  • Heavy minutes projection
Raw
67
Clean
11.9
Fit
4

📋 Full Board (1447 picks · Page 33/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
801 Cooper Pratt MIL MIL @ STL Total Bases 1.5 6.5 D 9.2 -5 Pending
802 Curtis Mead WSH HOU @ WSH Runs Batted In 0.5 6.5 D 9.2 -5 Pending
803 Dominic Smith ATL ATL @ PIT Runs Batted In 0.5 6.5 D 9.2 -5 Pending
804 Jared Triolo PIT ATL @ PIT Runs Batted In 0.5 6.5 D 9.2 -5 Pending
805 Junior Perez CWS BOS @ CWS Runs Batted In 0.5 6.5 D 9.2 -5 Pending
806 Keibert Ruiz WSH HOU @ WSH Runs Batted In 0.5 6.5 D 9.2 -5 Pending
807 Mike Yastrzemski ATL ATL @ PIT Total Bases 1.5 6.5 D 9.2 -5 Pending
808 Otto Lopez MIA SEA @ MIA Runs Batted In 0.5 6.5 D 9.2 -5 Pending
809 Rafael Devers SF TOR @ SF Total Bases 1.5 6.5 D 9.2 -5 Pending
810 Ryan O'Hearn PIT ATL @ PIT Home Runs 0.5 6.5 D 9.2 -5 Pending
811 A.J. Ewing NYM KC @ NYM Total Bases 1.5 6.1 D 9.2 -5 Pending
812 Bobby Witt Jr. KC KC @ NYM Runs Batted In 0.5 6.1 D 9.2 -5 Pending
813 Brandon Marsh PHI PHI @ CIN Hits 0.5 6.1 D 9.2 -5 Pending
814 Brandon Marsh PHI PHI @ CIN Runs 0.5 6.1 D 9.2 -5 Pending
815 Caleb Durbin BOS BOS @ CWS Runs 0.5 6.1 D 9.2 -5 Pending
816 Chase Meidroth CWS BOS @ CWS Runs Batted In 0.5 6.1 D 9.2 -5 Pending
817 Colt Emerson SEA SEA @ MIA Runs 0.5 6.1 D 9.2 -5 Pending
818 Colt Emerson SEA SEA @ MIA Runs Batted In 0.5 6.1 D 9.2 -5 Pending
819 Cooper Pratt MIL MIL @ STL Runs Batted In 0.5 6.1 D 9.2 -5 Pending
820 Daylen Lile WSH HOU @ WSH Home Runs 0.5 6.1 D 9.2 -5 Pending
821 Daylen Lile WSH HOU @ WSH Runs 0.5 6.1 D 9.2 -5 Pending
822 Freddie Freeman LAD COL @ LAD Runs Batted In 0.5 6.1 D 9.2 -5 Pending
823 Gabriel Rincones Jr. PHI PHI @ CIN Runs Batted In 0.5 6.1 D 9.2 -5 Pending
824 Hunter Goodman COL COL @ LAD Runs Batted In 0.5 6.1 D 9.2 -5 Pending
825 J.T. Realmuto PHI PHI @ CIN Runs Batted In 0.5 6.1 D 9.2 -5 Pending
Showing 801–825 of 1447 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.