📡 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 13 →
Wins
2
Losses
3
Push
1
Win %
40%
Pending
0
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 Mon 10/19
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
14
Total Bases 1.5 OVER
54.4 C
  • Heavy minutes projection
  • Stable player role
Raw
68
Clean
20.3
Fit
0
16
Home Runs 0.5 OVER
50.3 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
62
Clean
19.4
Fit
0
18
Total Bases 1.5 OVER
48.8 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
60
Clean
18.8
Fit
0
19
Total Bases 1.5 OVER
48.5 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
59
Clean
18.9
Fit
0

📋 Full Board (1415 picks · Page 44/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1111 Nasim Nunez WSH WSH @ CIN Home Runs 0.5 4.9 D 9.2 -5 Pending
1112 Ramon Laureano SD SD @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
1113 Sam Antonacci CWS KC @ CWS Home Runs 0.5 4.9 D 9.2 -5 Pending
1114 Sung-Mun Song SD SD @ MIL Home Runs 0.5 4.9 D 9.2 -5 Pending
1115 TJ Friedl CIN CIN @ WSH Runs Batted In 1.5 4.9 D 9.2 -5 Pending
1116 Tristan Peters CWS KC @ CWS Home Runs 0.5 4.9 D 9.2 -5 Pending
1117 Jorge Soler LAA CLE @ LAA Runs Batted In 1.5 4.9 D 9.2 -5 Pending
1118 Mike Trout LAA CLE @ LAA Runs Batted In 1.5 4.9 D 9.2 -5 Pending
1119 Oswald Peraza LAA CLE @ LAA Runs 1.5 4.8 D 9.2 -5 Pending
1120 Adley Rutschman BAL NYY @ BAL Runs 1.5 4.8 D 9.2 -5 Pending
1121 Adrian Del Castillo AZ ARI @ TEX Total Bases 1.5 4.8 D 9.2 -5 Pending
1122 Andrew Vaughn MIL MIL @ SD Hits 1.5 4.8 D 9.2 -5 Pending
1123 Andrew Vaughn MIL MIL @ SD Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1124 Bobby Witt Jr. KC KC @ CWS Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1125 Brice Turang MIL MIL @ SD Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1126 Carter Jensen KC KC @ CWS Total Bases 1.5 4.8 D 9.2 -5 Pending
1127 Casey Schmitt SF SF @ LAD Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1128 Dalton Rushing LAD LAD @ SF Hits 1.5 4.8 D 9.2 -5 Pending
1129 Dalton Rushing LAD LAD @ SF Total Bases 1.5 4.8 D 9.2 -5 Pending
1130 David Hamilton MIL MIL @ SD Hits 1.5 4.8 D 9.2 -5 Pending
1131 David Hamilton MIL MIL @ SD Total Bases 1.5 4.8 D 9.2 -5 Pending
1132 Ernie Clement TOR TOR @ TB Runs 1.5 4.8 D 9.2 -5 Pending
1133 Ernie Clement TOR TOR @ TB Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1134 George Springer TOR TOR @ TB Hits 1.5 4.8 D 9.2 -5 Pending
1135 Heliot Ramos SF SF @ LAD Runs Batted In 1.5 4.8 D 9.2 -5 Pending
Showing 1076–1100 of 1415 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.