📡 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 13 – Apr 19 →
Wins
0
Losses
0
Win %
0%
Pending
0
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 Thu 10/22 Wed 10/21
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Points 23.5 OVER
83.7 A-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
92
Clean
27.4
Fit
4
2
Assists 6.5 OVER
72.9 B
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
66
Clean
26.6
Fit
5
3
L
Rebounds 5.5 OVER
68.1 B-
  • Heavy minutes projection
Raw
64
Clean
19.9
Fit
5
4
Points 12.5 OVER
66.6 B-
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
62
Clean
24.8
Fit
4

📋 Full Board (1547 picks · Page 42/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1026 Bobby Witt Jr. KC KC @ NYY Runs 0.5 6.5 D 9.2 -5 Pending
1027 Cam Smith HOU STL @ HOU Total Bases 1.5 6.5 D 9.2 -5 Pending
1028 Cedric Mullins TB TB @ PIT Runs Batted In 0.5 6.5 D 9.2 -5 Pending
1029 Ildemaro Vargas AZ TOR @ ARI Runs Batted In 0.5 6.5 D 9.2 -5 Pending
1030 Manny Machado SD SD @ LAA Total Bases 1.5 6.5 D 9.2 -5 Pending
1031 Wilyer Abreu BOS DET @ BOS Total Bases 1.5 6.5 D 9.2 -5 Pending
1032 Luguentz Dort OKC OKC @ PHX Rebounds 2.5 6.3 D -0.8 -5 Pending
1033 Bobby Witt Jr. KC KC @ NYY Total Bases 1.5 6.1 D 9.2 -5 Pending
1034 Casey Schmitt SF SF @ WSH Runs 0.5 6.1 D 9.2 -5 Pending
1035 Hyeseong Kim LAD LAD @ COL Runs Batted In 0.5 6.1 D 9.2 -5 Pending
1036 Isaac Collins KC KC @ NYY Runs 0.5 6.1 D 9.2 -5 Pending
1037 Jake McCarthy COL LAD @ COL Runs Batted In 0.5 6.1 D 9.2 -5 Pending
1038 JJ Wetherholt STL STL @ HOU Home Runs 0.5 6.1 D 9.2 -5 Pending
1039 Johnathan Rodriguez BAL BAL @ CLE Hits 0.5 6.1 D 9.2 -5 Pending
1040 Josh Lowe LAA SD @ LAA Total Bases 1.5 6.1 D 9.2 -5 Pending
1041 Justin Crawford PHI ATL @ PHI Total Bases 1.5 6.1 D 9.2 -5 Pending
1042 Ketel Marte AZ TOR @ ARI Home Runs 0.5 6.1 D 9.2 -5 Pending
1043 Ketel Marte AZ TOR @ ARI Runs Batted In 0.5 6.1 D 9.2 -5 Pending
1044 Kyle Karros COL LAD @ COL Hits 0.5 6.1 D 9.2 -5 Pending
1045 Max Muncy LAD LAD @ COL Home Runs 0.5 6.1 D 9.2 -5 Pending
1046 Michael Harris II ATL ATL @ PHI Runs 0.5 6.1 D 9.2 -5 Pending
1047 Michael Massey KC KC @ NYY Runs Batted In 0.5 6.1 D 9.2 -5 Pending
1048 Nathan Church STL STL @ HOU Runs 0.5 6.1 D 9.2 -5 Pending
1049 Shea Langeliers OAK CWS @ OAK Runs Batted In 0.5 6.1 D 9.2 -5 Pending
1050 Teoscar Hernandez LAD LAD @ COL Runs 0.5 6.1 D 9.2 -5 Pending
Showing 1026–1050 of 1547 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.