📡 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 |
← Jun 20 →
Wins
3
Losses
1
Push
2
Win %
75%
Pending
0
Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
47.6 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
56
Clean
19.6
Fit
0
2
Hits 0.5 OVER
46.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
20.2
Fit
0
3
Total Bases 1.5 OVER
46.4 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
54
Clean
19.3
Fit
0
4
Total Bases 1.5 OVER
45.8 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
53
Clean
19.3
Fit
0

📋 Full Board (1265 picks · Page 39/51)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
951 Xavier Edwards MIA SF @ MIA Runs Batted In 1.5 3.9 D 9.2 -5 Pending
952 Xavier Edwards MIA SF @ MIA Total Bases 1.5 3.9 D 9.2 -5 Pending
953 Gabriel Rincones Jr. PHI NYM @ PHI Runs 1.5 3.8 D 9.2 -5 Pending
954 Alec Bohm PHI NYM @ PHI Runs 1.5 3.6 D 9.2 -5 Pending
955 Brandon Marsh PHI NYM @ PHI Runs Batted In 1.5 3.6 D 9.2 -5 Pending
956 Edwin Arroyo CIN CIN @ NYY Runs 1.5 3.6 D 9.2 -5 Pending
957 Henry Bolte OAK LAA @ OAK Runs Batted In 1.5 3.6 D 9.2 -5 Pending
958 Heriberto Hernandez MIA SF @ MIA Runs 1.5 3.6 D 9.2 -5 Pending
959 Jakob Marsee MIA SF @ MIA Runs 1.5 3.6 D 9.2 -5 Pending
960 Jakob Marsee MIA SF @ MIA Runs Batted In 1.5 3.6 D 9.2 -5 Pending
961 Kyle Stowers MIA SF @ MIA Runs Batted In 1.5 3.6 D 9.2 -5 Pending
962 Otto Lopez MIA SF @ MIA Runs Batted In 1.5 3.6 D 9.2 -5 Pending
963 Rodolfo Duran SD SD @ TEX Runs Batted In 1.5 3.6 D 9.2 -5 Pending
964 Sal Stewart CIN CIN @ NYY Runs Batted In 1.5 3.6 D 9.2 -5 Pending
965 Spencer Steer CIN CIN @ NYY Hits 1.5 3.6 D 9.2 -5 Pending
966 Trea Turner PHI NYM @ PHI Runs 1.5 3.6 D 9.2 -5 Pending
967 Tyler Stephenson CIN CIN @ NYY Runs Batted In 1.5 3.6 D 9.2 -5 Pending
968 Xavier Edwards MIA SF @ MIA Runs 1.5 3.6 D 9.2 -5 Pending
969 A.J. Ewing NYM NYM @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
970 Adley Rutschman BAL BAL @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
971 Alejandro Kirk TOR TOR @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
972 Alex Jackson MIN MIN @ ARI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
973 Ali Sanchez NYY CIN @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
974 Amed Rosario NYY CIN @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
975 Andrés Chaparro WSH WSH @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 951–975 of 1265 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.