📡 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 23 – May 6 →
Wins
41
Losses
50
Push
5
Win %
45.1%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Tue 10/20
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Matt Olson
ATL ATL @ LAD@HOU MLB
Total Bases 1.5 OVER
65.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
87
Clean
22.6
Fit
0
2
Matt Olson
ATL ATL @ LAD@HOU MLB
Hits 0.5 OVER
60.7 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
21.1
Fit
0
3
Ozzie Albies
ATL ATL @ LAD@HOU MLB
Hits 0.5 OVER
60.7 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
21.1
Fit
0
4
Otto Lopez
MIA BAL @ MIA MLB
Total Bases 1.5 OVER
58.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
77
Clean
20.4
Fit
0

📋 Full Board (1393 picks · Page 6/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
126 Jorge Soler LAA LAA @ CWS Hits 0.5 41.5 D 20.2 0 Pending
127 Junior Caminero TB TOR @ TB Hits 0.5 41.5 D 20.2 0 Pending
128 Junior Caminero TB TOR @ TB Runs 0.5 41.5 D 20.2 0 Pending
129 Willy Adames SF SD @ SF Hits 0.5 41.5 D 20.2 0 Pending
130 Jackson Chourio MIL MIL @ STL Total Bases 1.5 41.4 D 17.9 0 Pending
131 JJ Bleday CIN CIN @ CHC Runs 0.5 41.3 D 17.2 0 Pending
132 Dillon Dingler DET DET @ BOS Runs Batted In 0.5 41.2 D 18.8 0 Pending
133 Christian Walker HOU HOU @ LAD Hits 0.5 41 D 18.8 0 Pending
134 Miguel Andujar SD SD @ SF Hits 0.5 41 D 18.8 0 Pending
135 Kazuma Okamoto TOR TOR @ TB Runs Batted In 0.5 41 D 19.4 0 Pending
136 Luis Arraez SF SD @ SF Total Bases 1.5 40.8 D 19.5 0 Pending
137 Ryan McMahon NYY NYY @ TEX Total Bases 1.5 40.7 D 18.6 0 Pending
138 JJ Bleday CIN CIN @ CHC Runs Batted In 0.5 40.7 D 17.6 0 Pending
139 Garrett Mitchell MIL MIL @ STL Hits 0.5 40.5 D 17.6 0 Pending
140 Ben Williamson TB TOR @ TB Hits 0.5 40.5 D 19.5 0 Pending
141 Carlos Cortes OAK OAK @ ATHLETICS@ Hits 0.5 40.5 D 19.5 0 Pending
142 Mike Trout LAA LAA @ CWS Hits 0.5 40.5 D 19.5 0 Pending
143 Oneil Cruz PIT PIT @ ARI Hits 0.5 40.5 D 19.5 0 Pending
144 Bryce Harper PHI PHI @ OAK Total Bases 1.5 40.4 D 18.1 0 Pending
145 Austin Wells NYY NYY @ TEX Runs 0.5 40 D 19.4 0 Pending
146 Bobby Witt Jr. KC CLE @ KC Runs 0.5 40 D 19.4 0 Pending
147 Brandon Marsh PHI PHI @ OAK Runs 0.5 40 D 19.4 0 Pending
148 Byron Buxton MIN MIN @ WSH Runs 0.5 40 D 19.4 0 Pending
149 Daulton Varsho TOR TOR @ TB Hits 0.5 40 D 19.4 0 Pending
150 Geraldo Perdomo AZ PIT @ ARI Hits 0.5 40 D 19.4 0 Pending
Showing 126–150 of 1393 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.