📡 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
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 Tue 10/20
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Points 20.5 OVER
69.6 B
  • Stable player role
Raw
65
Clean
26.5
Fit
4
2
Rebounds 5.5 OVER
68.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
27.3
Fit
5
3
Points 18.5 OVER
65.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
26.6
Fit
4
4
Assists 8.5 OVER
64.9 B-
  • Stable player role
Raw
51
Clean
25.9
Fit
5

📋 Full Board (1565 picks · Page 46/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1126 Jackson Merrill SD SD @ ARI Home Runs 0.5 4.9 D 9.2 -5 Pending
1127 Jake Burger TEX TEX @ OAK Runs 1.5 4.9 D 9.2 -5 Pending
1128 Jake Cronenworth SD SD @ ARI Home Runs 0.5 4.9 D 9.2 -5 Pending
1129 Josh Bell MIN MIN @ TB Home Runs 0.5 4.9 D 9.2 -5 Pending
1130 Kody Clemens MIN MIN @ TB Home Runs 0.5 4.9 D 9.2 -5 Pending
1131 Kyle Higashioka TEX TEX @ OAK Runs Batted In 1.5 4.9 D 9.2 -5 Pending
1132 Kyle Stowers MIA MIA @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
1133 Luisangel Acuna CWS WSH @ CWS Home Runs 0.5 4.9 D 9.2 -5 Pending
1134 Luke Keaschall MIN MIN @ TB Home Runs 0.5 4.9 D 9.2 -5 Pending
1135 Manny Machado SD SD @ ARI Home Runs 0.5 4.9 D 9.2 -5 Pending
1136 Matt Wallner MIN MIN @ TB Home Runs 0.5 4.9 D 9.2 -5 Pending
1137 Miguel Andujar SD SD @ ARI Home Runs 0.5 4.9 D 9.2 -5 Pending
1138 Otto Lopez MIA MIA @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
1139 Owen Caissie MIA MIA @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
1140 Ramon Laureano SD SD @ ARI Home Runs 0.5 4.9 D 9.2 -5 Pending
1141 Tanner Murray CWS WSH @ CWS Home Runs 0.5 4.9 D 9.2 -5 Pending
1142 Trevor Larnach MIN MIN @ TB Home Runs 0.5 4.9 D 9.2 -5 Pending
1143 Victor Caratini MIN MIN @ TB Runs 0.5 4.9 D 9.2 -5 Pending
1144 Xavier Edwards MIA MIA @ SF Home Runs 0.5 4.9 D 9.2 -5 Pending
1145 Adrian Del Castillo AZ SD @ ARI Hits 1.5 4.8 D 9.2 -5 Pending
1146 Brice Turang MIL MIL @ PIT Hits 1.5 4.8 D 9.2 -5 Pending
1147 Brice Turang MIL MIL @ PIT Total Bases 1.5 4.8 D 9.2 -5 Pending
1148 Carson Kelly CHC CHC @ LAD Runs 1.5 4.8 D 9.2 -5 Pending
1149 Carson Kelly CHC CHC @ LAD Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1150 Casey Schmitt SF MIA @ SF Runs Batted In 1.5 4.8 D 9.2 -5 Pending
Showing 1126–1150 of 1565 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.