📡 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 |
← Apr 26 →
Wins
0
Losses
0
Win %
0%
Pending
0
Fri 11/6 Thu 11/5 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
8
Hits 1.5 OVER
59.4 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
75
Clean
22.1
Fit
0
10
Hits 0.5 OVER
58.2 C+
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
77
Clean
19.5
Fit
0
11
Runs Batted In 1.5 OVER
57.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
73
Clean
21.3
Fit
0
12
Total Bases 1.5 OVER
57.5 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
76
Clean
19.3
Fit
0

📋 Full Board (1366 picks · Page 41/55)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1069 Alex Freeland LAD CHC @ LAD Runs Batted In 1.5 5.5 D 9.2 -5 Pending
1070 Andy Pages LAD CHC @ LAD Runs Batted In 1.5 5.5 D 9.2 -5 Pending
1071 Jose Altuve HOU HOU @ NYY Total Bases 1.5 5.5 D 9.2 -5 Pending
1072 Carlos Cortes OAK OAK @ ATHLETICS@ Runs Batted In 1.5 5.5 D 9.2 -5 Pending
1073 Carson Kelly CHC CHC @ LAD Hits 1.5 5.5 D 9.2 -5 Pending
1074 Drew Gilbert SF MIA @ SF Total Bases 1.5 5.5 D 9.2 -5 Pending
1075 Maikel Garcia KC LAA @ KC Hits 1.5 5.5 D 9.2 -5 Pending
1076 Nolan Arenado AZ SD @ ARI Runs 1.5 5.5 D 9.2 -5 Pending
1077 Nolan Schanuel LAA LAA @ KC Runs Batted In 1.5 5.5 D 9.2 -5 Pending
1078 Ramon Laureano SD SD @ ARI Total Bases 2.5 5.5 D 9.2 -5 Pending
1079 Brandon Nimmo TEX TEX @ OAK Runs 1.5 5.2 D 9.2 -5 Pending
1080 Brandon Nimmo TEX TEX @ OAK Runs Batted In 1.5 5.2 D 9.2 -5 Pending
1081 CJ Abrams WSH WSH @ CWS Runs 1.5 5.2 D 9.2 -5 Pending
1082 CJ Abrams WSH WSH @ CWS Runs Batted In 1.5 5.2 D 9.2 -5 Pending
1083 Joc Pederson TEX TEX @ OAK Runs Batted In 1.5 5.2 D 9.2 -5 Pending
1084 Josh Smith TEX TEX @ OAK Runs Batted In 1.5 5.2 D 9.2 -5 Pending
1085 Nasim Nunez WSH WSH @ CWS Runs 1.5 5.2 D 9.2 -5 Pending
1086 Miguel Rojas LAD CHC @ LAD Runs Batted In 1.5 5.1 D 9.2 -5 Pending
1087 Cam Smith HOU HOU @ NYY Total Bases 1.5 5.1 D 9.2 -5 Pending
1088 Brice Turang MIL MIL @ PIT Runs Batted In 1.5 5.1 D 9.2 -5 Pending
1089 Christian Walker HOU HOU @ NYY Runs 1.5 5.1 D 9.2 -5 Pending
1090 Patrick Bailey SF MIA @ SF Runs Batted In 1.5 5.1 D 9.2 -5 Pending
1091 Rafael Devers SF MIA @ SF Total Bases 1.5 5.1 D 9.2 -5 Pending
1092 Alek Thomas AZ SD @ ARI Runs 1.5 5.1 D 10.3 -5 Pending
1093 Alex Bregman CHC CHC @ LAD Runs 1.5 5.1 D 10.3 -5 Pending
Showing 1001–1025 of 1366 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.