📡 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 |
← May 5 →
Wins
5
Losses
1
Win %
83.3%
Pending
0
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
11
Total Bases 1.5 OVER
61.8 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
81
Clean
21.6
Fit
0
15
Total Bases 1.5 OVER
57 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
74
Clean
20.2
Fit
0
18
Total Bases 1.5 OVER
54.5 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
69
Clean
19.9
Fit
0
19
Hits 0.5 OVER
53.9 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
69
Clean
19.4
Fit
0

📋 Full Board (1298 picks · Page 4/52)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
110 Jasson Domínguez NYY NYY @ TEX Total Bases 1.5 30.9 D 17.2 0 Pending
111 Kyle Schwarber PHI PHI @ OAK Total Bases 1.5 30.9 D 17.2 0 Pending
112 Andy Pages LAD LAD @ HOU Hits 1.5 30.9 D 15.2 -5 Pending
113 Bryce Eldridge SF SD @ SF Total Bases 1.5 30.5 D 17.2 0 Pending
114 Carlos Correa HOU LAD @ HOU Total Bases 1.5 30.5 D 17.2 0 Pending
115 Xavier Edwards MIA MIA @ BAL Hits 1.5 30.5 D 13.2 -5 Pending
116 Freddie Freeman LAD LAD @ HOU Hits 1.5 30.3 D 11.8 -5 Pending
117 Max Muncy LAD LAD @ HOU Total Bases 1.5 30.3 D 11.8 -5 Pending
118 Kyle Manzardo CLE CLE @ KC Runs Batted In 0.5 30.2 D 17.2 0 Pending
119 Esteury Ruiz MIA MIA @ BAL Runs 0.5 29 D 10.3 -5 Pending
120 Andy Pages LAD LAD @ HOU Total Bases 1.5 28.8 D 13.2 -5 Pending
121 Austin Hedges CLE CLE @ KC Total Bases 1.5 28.7 D 17.2 0 Pending
124 Austin Riley ATL ATL @ LAD@HOU Hits 1.5 27.1 D 11.5 -5 Pending
125 Hyeseong Kim LAD LAD @ HOU Total Bases 1.5 27.1 D 11.5 -5 Pending
126 Jameson Taillon CHC CHC @ CIN Strikeouts 6.5 26.7 D 12.7 -5 Pending
127 Nico Hoerner CHC CHC @ CIN Total Bases 1.5 26.6 D 12.7 -5 Pending
128 Spencer Steer CIN CHC @ CIN Hits 1.5 26.3 D 13.1 -5 Pending
129 Drake Baldwin ATL ATL @ LAD@HOU Hits 1.5 26 D 10.8 -5 Pending
130 Isaac Paredes HOU LAD @ HOU Total Bases 1.5 25.8 D 13.9 -5 Pending
131 Brice Turang MIL STL @ MIL Hits 1.5 25.8 D 12.7 -5 Pending
132 Jacob deGrom TEX NYY @ TEX Strikeouts 7.5 25.8 D 12.9 -5 Pending
133 Tyler Stephenson CIN CHC @ CIN Total Bases 1.5 25.3 D 11.4 -5 Pending
134 Spencer Steer CIN CHC @ CIN Total Bases 1.5 25 D 12.2 -5 Pending
135 Liam Hicks MIA MIA @ BAL Total Bases 1.5 24.6 D 9.2 -5 Pending
136 Eli White ATL ATL @ LAD@HOU Hits 1.5 24.4 D 11.4 -5 Pending
Showing 76–100 of 1298 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.