📡 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 |
← Jul 9 – Aug 7 →
Wins
81
Losses
61
Push
37
Win %
57%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Sun 10/4 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Alyssa Thomas
PHX @ CON WNBA
Assists 8.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
28.4
Fit
5
2
Alyssa Thomas
PHX @ CON WNBA
Rebounds 8.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
27.9
Fit
5
3
Alyssa Thomas
PHX @ CON WNBA
Points 15.5 OVER
67.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
28
Fit
4
4
DeWanna Bonner
PHX @ CON WNBA
Points 10.5 OVER
67.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
21.8
Fit
4

📋 Full Board (1474 picks · Page 46/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1126 Miguel Amaya CHC CHC @ KC Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1127 Mike Trout LAA LAA @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1128 Moises Ballesteros LAA LAA @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1129 Mookie Betts LAD LAD @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1130 Munetaka Murakami CWS CLE @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1131 Munetaka Murakami CWS CLE @ CWS Runs 0.5 3.2 D 9.2 -5 Pending
1132 Munetaka Murakami CWS CLE @ CWS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1133 Myles Straw TOR TOR @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1134 Nasim Nunez WSH CIN @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1135 Nasim Nunez WSH CIN @ WSH Runs 0.5 3.2 D 9.2 -5 Pending
1136 Nathan Lukes TOR TOR @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1137 Nick Gonzales PIT NYM @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1138 Nick Loftin KC CHC @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1139 Nick Loftin KC CHC @ KC Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1140 Nick Sogard BOS BOS @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1141 Nicky Lopez TEX BAL @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1142 Noelvi Marte CIN CIN @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1143 Nolan Schanuel LAA LAA @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1144 Otto Lopez MIA LAA @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1145 Pedro Ramirez CHC CHC @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1146 Pedro Ramirez CHC CHC @ KC Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1147 Pete Alonso BAL BAL @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1148 Randal Grichuk CWS CLE @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1149 Randal Grichuk CWS CLE @ CWS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1150 Ryan Jeffers MIN MIN @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1126–1150 of 1474 picks
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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.