📡 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 15 – Apr 21 →
Wins
4
Losses
16
Win %
20%
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 24.5 OVER
83.8 A-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
92
Clean
27.5
Fit
4
2
Assists 7.5 OVER
66.9 B-
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
55
Clean
26.3
Fit
5
3
Rebounds 5.5 OVER
65.8 B-
  • Stable player role
  • Usage boost opportunity
Raw
50
Clean
25.2
Fit
5
4
Rebounds 8.5 OVER
64.1 B-
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
44
Clean
26.7
Fit
5

📋 Full Board (1556 picks · Page 42/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1026 Cole Young SEA SEA @ OAK Runs Batted In 1.5 6.1 D 9.2 -5 Pending
1027 Gunnar Henderson BAL BAL @ KC Hits 0.5 6.1 D 9.2 -5 Pending
1028 J.P. Crawford SEA SEA @ OAK Runs Batted In 1.5 6.1 D 9.2 -5 Pending
1029 Jackson Merrill SD SD @ COL Runs Batted In 1.5 6.1 D 9.2 -5 Pending
1030 Jake McCarthy COL COL @ SD Runs Batted In 0.5 6.1 D 9.2 -5 Pending
1031 Ketel Marte AZ CWS @ ARI Home Runs 0.5 6.1 D 9.2 -5 Pending
1032 Konnor Griffin PIT PIT @ TEX Runs 0.5 6.1 D 9.2 -5 Pending
1033 Luisangel Acuna CWS CWS @ ARI Runs 1.5 6.1 D 9.2 -5 Pending
1034 Max Muncy OAK LAD @ SF Home Runs 0.5 6.1 D 9.2 -5 Pending
1035 Randy Arozarena SEA SEA @ OAK Runs Batted In 1.5 6.1 D 9.2 -5 Pending
1036 Teoscar Hernandez LAD LAD @ SF Runs 0.5 6.1 D 9.2 -5 Pending
1037 David Hamilton MIL MIL @ DET Hits 1.5 6.1 D 9.2 -5 Pending
1038 Adolis Garcia PHI PHI @ CHC Runs Batted In 1.5 6.1 D 9.2 -5 Pending
1039 Alec Bohm PHI PHI @ CHC Runs Batted In 1.5 6.1 D 9.2 -5 Pending
1040 Alek Thomas AZ CWS @ ARI Hits 1.5 6 D 9.6 -5 Pending
1041 Alex Freeland LAD LAD @ SF Hits 1.5 6 D 9.6 -5 Pending
1042 Alex Freeland LAD LAD @ SF Total Bases 1.5 6 D 9.6 -5 Pending
1043 Austin Riley ATL ATL @ WSH Runs 1.5 6 D 9.6 -5 Pending
1044 Corbin Carroll AZ CWS @ ARI Hits 1.5 6 D 9.6 -5 Pending
1045 Hunter Goodman COL COL @ SD Hits 1.5 6 D 9.6 -5 Pending
1046 Hyeseong Kim LAD LAD @ SF Hits 1.5 6 D 9.6 -5 Pending
1047 Jacob Wilson OAK OAK @ ATHLETICS@ Runs 1.5 6 D 9.6 -5 Pending
1048 Jonah Heim ATL ATL @ WSH Hits 1.5 6 D 9.6 -5 Pending
1049 Kyle Karros COL COL @ SD Runs 1.5 6 D 9.6 -5 Pending
1050 Kyle Tucker LAD LAD @ SF Runs Batted In 1.5 6 D 9.6 -5 Pending
Showing 1026–1050 of 1556 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.