📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Jul 18 →
Wins
3
Losses
3
Win %
50%
Pending
0
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 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
POR @ MIN WNBA
Points 17.5 OVER
79.1 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.6
Fit
4
2
NY @ IND WNBA
Points 20.5 OVER
73.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
28.2
Fit
4
3
NY @ IND WNBA
Rebounds 7.5 OVER
69.9 B
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
28.6
Fit
5
4
NY @ IND WNBA
Points 16.5 OVER
68.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
22.9
Fit
4

📋 Full Board (1508 picks · Page 46/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1126 Enmanuel Valdez PIT PIT @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1127 Eric Wagaman NYM NYM @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1128 Eric Wagaman NYM NYM @ PHI Runs 0.5 3.2 D 9.2 -5 Pending
1129 Eric Wagaman NYM NYM @ PHI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1130 Esteury Ruiz MIA MIA @ MIL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1131 Evan Carter TEX TEX @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1132 Evan Carter TEX TEX @ ATL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1133 Ezequiel Tovar COL CIN @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1134 Ezequiel Tovar COL CIN @ COL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1135 Freddie Freeman LAD LAD @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1136 Freddie Freeman LAD LAD @ NYY Runs 0.5 3.2 D 9.2 -5 Pending
1137 Freddie Freeman LAD LAD @ NYY Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1138 Gabriel Moreno AZ STL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1139 Gavin Sheets SD SD @ KC Total Bases 1.5 3.2 D 9.2 -5 Pending
1140 Geraldo Perdomo AZ STL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1141 Heliot Ramos SF SF @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1142 Henry Bolte OAK WSH @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1143 Henry Bolte OAK WSH @ OAK Runs 0.5 3.2 D 9.2 -5 Pending
1144 Hunter Goodman COL CIN @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1145 Hunter Goodman COL CIN @ COL Runs 0.5 3.2 D 9.2 -5 Pending
1146 Hunter Goodman COL CIN @ COL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1147 Ian Happ CHC MIN @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1148 Isaac Paredes HOU BAL @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1149 Ivan Herrera STL STL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1150 J.P. Crawford SEA SF @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1126–1150 of 1508 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.