📡 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 26 – Jul 9 →
Wins
23
Losses
18
Push
13
Win %
56.1%
Pending
0
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 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LV @ POR WNBA
Rebounds 8.5 OVER
74.7 B
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
28.1
Fit
5
2
IND @ PHX WNBA
Points 20.5 OVER
69.9 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
71
Clean
23.5
Fit
4
3
LV @ POR WNBA
Points 18.5 OVER
68 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
28
Fit
4
4
LV @ POR WNBA
Assists 6.5 OVER
67.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
28.8
Fit
5

📋 Full Board (1282 picks · Page 35/52)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
851 Esmerlyn Valdez PIT ATL @ PIT Total Bases 1.5 5.8 D 9.2 -5 Pending
852 Eugenio Suarez CIN PHI @ CIN Home Runs 0.5 5.8 D 9.2 -5 Pending
853 Ezequiel Duran TEX LAA @ TEX Home Runs 0.5 5.8 D 9.2 -5 Pending
854 Ezequiel Tovar COL COL @ SF Hits 0.5 5.8 D 9.2 -5 Pending
855 Ezequiel Tovar COL COL @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
856 Francisco Lindor NYM KC @ NYM Runs Batted In 0.5 5.8 D 9.2 -5 Pending
857 Gabriel Rincones Jr. PHI PHI @ CIN Home Runs 0.5 5.8 D 9.2 -5 Pending
858 Geraldo Perdomo AZ ARI @ SD Home Runs 0.5 5.8 D 9.2 -5 Pending
859 Geraldo Perdomo AZ ARI @ SD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
860 Griffin Conine MIA SEA @ MIA Runs 0.5 5.8 D 9.2 -5 Pending
861 Gunnar Henderson BAL CHC @ BAL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
862 Hao-Yu Lee DET DET @ ATHLETICS@ Hits 0.5 5.8 D 9.2 -5 Pending
863 Hao-Yu Lee DET DET @ ATHLETICS@ Home Runs 0.5 5.8 D 9.2 -5 Pending
864 Henry Bolte OAK OAK @ ATHLETICS@ Home Runs 0.5 5.8 D 9.2 -5 Pending
865 Henry Bolte OAK OAK @ ATHLETICS@ Runs Batted In 0.5 5.8 D 9.2 -5 Pending
866 Henry Davis PIT ATL @ PIT Home Runs 0.5 5.8 D 9.2 -5 Pending
867 Henry Davis PIT ATL @ PIT Total Bases 1.5 5.8 D 9.2 -5 Pending
868 Hunter Feduccia TB NYY @ TB Home Runs 0.5 5.8 D 9.2 -5 Pending
869 Hunter Feduccia TB NYY @ TB Runs 0.5 5.8 D 9.2 -5 Pending
870 Hunter Goodman COL COL @ SF Runs Batted In 0.5 5.8 D 9.2 -5 Pending
871 Isaac Collins KC KC @ NYM Runs Batted In 0.5 5.8 D 9.2 -5 Pending
872 Ivan Herrera STL MIL @ STL Hits 0.5 5.8 D 9.2 -5 Pending
873 Ivan Herrera STL MIL @ STL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
874 Jackson Chourio MIL MIL @ STL Home Runs 0.5 5.8 D 9.2 -5 Pending
875 Jacob Wilson OAK OAK @ ATHLETICS@ Runs 0.5 5.8 D 9.2 -5 Pending
Showing 851–875 of 1282 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.