📡 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 17 – May 23 →
Wins
12
Losses
26
Push
4
Win %
31.6%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Mon 10/19 Sun 10/18 Sat 10/17
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Evan Mobley
CLE CLE @ NYK NBA
Points 17.5 OVER
65 B-
  • Heavy minutes projection
  • Stable player role
Raw
50
Clean
30
Fit
4
2
Evan Mobley
CLE CLE @ NYK NBA
Rebounds 9.5 OVER
63.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
37
Clean
29.8
Fit
5
3
Evan Mobley
CLE CLE @ NYK NBA
Assists 4.5 OVER
59.9 C+
  • Heavy minutes projection
  • Stable player role
Raw
36
Clean
28.8
Fit
5
4
Mikal Bridges
NYK CLE @ NYK NBA
Points 14.5 OVER
59.6 C+
  • Heavy minutes projection
Raw
63
Clean
16.6
Fit
4

📋 Full Board (1378 picks · Page 4/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
76 Pete Alonso BAL DET @ BAL Total Bases 1.5 36.1 D 18.2 0 Pending
77 Daulton Varsho TOR PIT @ TOR Hits 0.5 36.1 D 17.4 0 Pending
78 Konnor Griffin PIT PIT @ TOR Hits 0.5 36.1 D 17.4 0 Pending
79 Bo Bichette NYM NYM @ MIA Runs 0.5 35.9 D 17.8 0 Pending
80 Brett Baty NYM NYM @ MIA Hits 0.5 35.9 D 17.8 0 Pending
81 Javier Sanoja MIA NYM @ MIA Total Bases 1.5 35.9 D 17.8 0 Pending
82 Kyle Stowers MIA NYM @ MIA Runs Batted In 0.5 35.9 D 17.8 0 Pending
83 Manny Machado SD SD @ PIT@TOR Total Bases 1.5 35.9 D 17.8 0 Pending
84 Jac Caglianone KC SEA @ KC Hits 0.5 35.6 D 18.3 0 Pending
85 Kyle Manzardo CLE CLE @ PHI Total Bases 1.5 35.2 D 17.5 0 Pending
86 A.J. Ewing NYM NYM @ MIA Hits 0.5 35 D 17.6 0 Pending
87 Curtis Mead WSH WSH @ ATL Hits 0.5 35 D 17.6 0 Pending
88 Elly De La Cruz CIN STL @ CIN Hits 0.5 35 D 17.6 0 Pending
89 Eugenio Suarez CIN STL @ CIN Runs 0.5 35 D 17.6 0 Pending
90 Javier Sanoja MIA NYM @ MIA Hits 0.5 35 D 17.6 0 Pending
91 Juan Soto NYM NYM @ MIA Home Runs 0.5 35 D 17.6 0 Pending
92 Sal Stewart CIN STL @ CIN Runs Batted In 0.5 35 D 17.6 0 Pending
93 Xavier Edwards MIA NYM @ MIA Runs 0.5 35 D 17.6 0 Pending
94 Bo Bichette NYM NYM @ MIA Total Bases 1.5 34.6 D 17.2 0 Pending
95 Alec Burleson STL STL @ CIN Total Bases 1.5 34.6 D 18.8 0 Pending
96 Kyle Schwarber PHI CLE @ PHI Total Bases 1.5 34.4 D 17.2 0 Pending
97 Lourdes Gurriel Jr. AZ COL @ ARI Hits 0.5 34.2 D 17.8 0 Pending
98 Xavier Edwards MIA NYM @ MIA Total Bases 1.5 34.2 D 17.9 0 Pending
99 Zach Neto LAA TEX @ LAA Total Bases 1.5 34.1 D 17.2 0 Pending
100 Jac Caglianone KC SEA @ KC Total Bases 1.5 34.1 D 17.6 0 Pending
Showing 76–100 of 1378 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.