📡 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 14 – Jul 27 →
Wins
42
Losses
28
Push
13
Win %
60%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Sun 10/4
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
CJ Abrams
WSH TOR @ WSH MLB
Total Bases 1.5 OVER
52.4 C
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
20.8
Fit
0
2
Jeremy Pena
HOU HOU @ LAA MLB
Total Bases 1.5 OVER
50.1 C
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
20.8
Fit
0
3
CJ Abrams
WSH TOR @ WSH MLB
Hits 1.5 OVER
48.6 D
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
21.6
Fit
0
4
Seiya Suzuki
CHC CHC @ STL MLB
Runs Batted In 0.5 OVER
47.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
21.4
Fit
0

📋 Full Board (1150 picks · Page 5/46)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
101 Joey Ortiz MIL MIL @ SF Runs Batted In 0.5 30.5 D 17.2 0 Pending
102 Luis Lara MIL MIL @ SF Runs Batted In 0.5 30.5 D 17.2 0 Pending
103 Adrian Del Castillo AZ ARI @ PIT Runs Batted In 0.5 30.2 D 17.2 0 Pending
104 Blaze Jordan STL CHC @ STL Runs Batted In 0.5 30.2 D 17.2 0 Pending
105 Braden Montgomery CWS NYY @ CWS Runs 0.5 30.2 D 17.2 0 Pending
106 Curtis Mead WSH BOS @ OAK Hits 0.5 30.2 D 17.2 0 Pending
107 Esmerlyn Valdez PIT ARI @ PIT Runs Batted In 0.5 30.2 D 17.2 0 Pending
108 Luis Lara MIL MIL @ SF Hits 0.5 30.2 D 17.2 0 Pending
109 Miguel Amaya CHC CHC @ STL Runs Batted In 0.5 30.2 D 17.2 0 Pending
110 Nasim Nunez WSH TOR @ WSH Hits 0.5 30.2 D 17.2 0 Pending
111 Sam Antonacci CWS NYY @ CWS Hits 0.5 30.2 D 17.2 0 Pending
112 Munetaka Murakami CWS NYY @ CWS Runs Batted In 0.5 28.7 D 17.2 0 Pending
113 Anthony Seigler BOS BOS @ OAK Total Bases 1.5 28.3 D 17.2 0 Pending
114 Zack Wheeler PHI PHI @ MIA Strikeouts 7.5 26.1 D 13.4 -5 Pending
115 Jeremy Pena HOU HOU @ LAA Runs 1.5 24.1 D 13.9 -5 Pending
116 Payton Tolle BOS BOS @ OAK Strikeouts 6.5 22.3 D 14 -5 Pending
117 Kumar Rocker TEX SEA @ TEX Strikeouts 5.5 21.5 D 13.5 -5 Pending
118 Andruw Monasterio BOS BOS @ OAK Total Bases 1.5 20.4 D 13.4 -5 Pending
119 Gabriel Moreno AZ ARI @ PIT Runs Batted In 1.5 20.4 D 13.4 -5 Pending
120 Vladimir Guerrero Jr. TOR TOR @ WSH Total Bases 1.5 19.7 D 11.9 -5 Pending
121 George Kirby SEA SEA @ TEX Strikeouts 6.5 19.4 D 14.3 -5 Pending
122 Gabriel Moreno AZ ARI @ PIT Hits 1.5 19.2 D 12.7 -5 Pending
123 Walbert Urena LAA HOU @ LAA Strikeouts 5.5 18.4 D 13.9 -5 Pending
124 Alejandro Kirk TOR TOR @ WSH Hits 1.5 17.3 D 13.1 -5 Pending
125 Drake Baldwin ATL ATL @ NYM Hits 1.5 17.3 D 13.1 -5 Pending
Showing 101–125 of 1150 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.