📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Aug 9 – Sep 7 →
Wins
5
Losses
15
Push
45
Win %
25%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Mookie Betts
LAD LAD @ CIN MLB
Runs 0.5 OVER
64.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
84
Clean
23.2
Fit
0
2
Chase Burns
LAD LAD @ CIN MLB
Strikeouts 4.5 OVER
60.9 C+
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
22.2
Fit
0
3
Teoscar Hernandez
LAD LAD @ CIN MLB
Hits 0.5 OVER
59 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
78
Clean
20.2
Fit
0
4
Thomas Saggese
SF SF @ STL MLB
Hits 0.5 OVER
57.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
73
Clean
21.4
Fit
0

📋 Full Board (976 picks · Page 4/40)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
76 William Contreras MIL MIL @ CHC Runs 0.5 47.3 D 17.8 0 Pending
77 Hector Rodriguez LAD LAD @ CIN Runs 0.5 47.2 D 17.6 0 Pending
78 Jordan Walker SF SF @ STL Runs 0.5 47.2 D 17.6 0 Pending
79 Jung Hoo Lee SF SF @ STL Runs Batted In 0.5 47.2 D 17.6 0 Pending
80 Nathan Church SF SF @ STL Runs 0.5 47.2 D 17.6 0 Pending
81 Rafael Devers SF SF @ STL Runs 0.5 47.2 D 17.6 0 Pending
82 Turner Hill SF SF @ STL Runs 0.5 47.2 D 17.6 0 Pending
83 Riley Greene DET DET @ MIN Runs Batted In 0.5 47.2 D 17.6 0 Pending
84 Andrew Vaughn MIL MIL @ CHC Hits 0.5 47.2 D 19.4 0 Pending
85 Ryan Jeffers DET DET @ MIN Runs 0.5 47.1 D 17.6 0 Pending
86 Ronald Acuna Jr. PHI PHI @ ATL Hits 0.5 46.8 D 19.3 0 Pending
87 Jonah Heim OAK OAK @ TOR Hits 0.5 46.7 D 21.2 0 Pending
88 Freddie Freeman LAD LAD @ CIN Runs 0.5 46.7 D 17.2 0 Pending
89 Juan Brito LAD LAD @ CIN Hits 0.5 46.7 D 17.2 0 Pending
90 Juan Brito LAD LAD @ CIN Runs 0.5 46.7 D 17.2 0 Pending
91 Juan Brito LAD LAD @ CIN Runs Batted In 0.5 46.7 D 17.2 0 Pending
92 Brooks Lee DET DET @ MIN Runs Batted In 0.5 46.6 D 17.2 0 Pending
93 Carter Jensen KC KC @ ARI Hits 0.5 46.6 D 20.7 0 Pending
94 Javier Sanoja MIA MIA @ NYM Total Bases 1.5 46.5 D 19.6 0 Pending
95 Garrett Mitchell MIL MIL @ CHC Runs 0.5 46.4 D 17.6 0 Pending
96 Tyrone Taylor MIL MIL @ CHC Runs 0.5 46.4 D 17.6 0 Pending
97 Christian Yelich MIL MIL @ CHC Total Bases 1.5 46.2 D 19.4 0 Pending
98 Austin Riley PHI PHI @ ATL Hits 0.5 46.1 D 19.5 0 Pending
99 Drake Baldwin PHI PHI @ ATL Hits 0.5 46.1 D 19.5 0 Pending
100 Joe Mack MIA MIA @ NYM Hits 0.5 45.7 D 20.2 0 Pending
Showing 76–100 of 976 picks
← Prev 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Next →

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.