📡 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 17 – Sep 23 →
Wins
15
Losses
20
Push
1
Win %
42.9%
Pending
0
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 Thu 9/24
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Rebounds 3.5 OVER
72.1 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
22.6
Fit
5
2
Points 7.5 OVER
69.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
74
Clean
21.8
Fit
4
3
Assists 7.5 OVER
64.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
22.7
Fit
5
4
Hits 0.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
82
Clean
21.3
Fit
0

📋 Full Board (1457 picks · Page 46/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1126 Andres Gimenez BAL BAL @ TOR Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1127 Andres Gimenez BAL BAL @ TOR Total Bases 1.5 5.8 D 9.2 -5 Pending
1128 Andrew Benintendi KC KC @ CWS Runs 0.5 5.8 D 9.2 -5 Pending
1129 Anthony Volpe NYY NYY @ TB Runs 0.5 5.8 D 9.2 -5 Pending
1130 Braden Montgomery KC KC @ CWS Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1131 Brady House DET DET @ WSH Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1132 Brandon Valenzuela BAL BAL @ TOR Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1133 Brenton Doyle KC KC @ CWS Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1134 Brice Matthews SEA SEA @ HOU Runs 0.5 5.8 D 9.2 -5 Pending
1135 Brice Matthews SEA SEA @ HOU Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1136 Cal Raleigh SEA SEA @ HOU Runs 0.5 5.8 D 9.2 -5 Pending
1137 Carlos Narvaez BAL BAL @ TOR Hits 0.5 5.8 D 9.2 -5 Pending
1138 Christian Encarnacion-Strand BAL BAL @ TOR Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1139 Christian Walker SEA SEA @ HOU Runs 0.5 5.8 D 9.2 -5 Pending
1140 Cole Carrigg COL COL @ ARI Runs 0.5 5.8 D 9.2 -5 Pending
1141 Daulton Varsho SEA SEA @ HOU Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1142 Ezequiel Tovar COL COL @ ARI Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1143 George Springer BAL BAL @ TOR Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1144 Gunnar Henderson BAL BAL @ TOR Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1145 Hunter Goodman COL COL @ ARI Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1146 Isaac Collins KC KC @ CWS Runs 0.5 5.8 D 9.2 -5 Pending
1147 J.P. Crawford SEA SEA @ HOU Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1148 Jac Caglianone KC KC @ CWS Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1149 James Wood DET DET @ WSH Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1150 Jeremiah Jackson BAL BAL @ TOR Runs Batted In 0.5 5.8 D 9.2 -5 Pending
Showing 1126–1150 of 1457 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.