📡 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 4 →
Wins
1
Losses
5
Win %
16.7%
Pending
0
Wed 11/4 Mon 11/2 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
14
Total Bases 1.5 OVER
61.2 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
21.6
Fit
0
19
Hits 1.5 OVER
59.6 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
77
Clean
21.2
Fit
0
24
Total Bases 1.5 OVER
56.6 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
73
Clean
20.1
Fit
0
26
Total Bases 1.5 OVER
56 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
71
Clean
20.4
Fit
0

📋 Full Board (1112 picks · Page 39/45)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1008 J.T. Realmuto PHI PHI @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1009 Jesus Sanchez TOR TOR @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1010 Jo Adell LAA LAA @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1011 Jonathan Aranda TB TOR @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1012 Jonny Deluca TB TOR @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1013 Jose Ramirez CLE CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1014 Jung Hoo Lee SF SD @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1015 Justin Crawford PHI PHI @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1016 Kyle Isbel KC CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1017 Luis Arraez SF SD @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1018 Masyn Winn STL MIL @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1019 Matt Chapman SF SD @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1020 Michael Massey KC CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1021 Nathan Church STL MIL @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1022 Nick Fortes TB TOR @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1023 Nolan Schanuel LAA LAA @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1024 Patrick Bailey SF SD @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1025 Rafael Devers SF SD @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1026 Ramon Laureano SD SD @ SF Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1027 Ryan Vilade TB TOR @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1028 Salvador Perez KC CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1029 Steven Kwan CLE CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1030 Taylor Walls TB TOR @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1031 Travis Bazzana CLE CLE @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1032 Travis d'Arnaud LAA LAA @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 951–975 of 1112 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.