📡 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 |
← Aug 5 →
Wins
0
Losses
0
Push
6
Win %
0%
Pending
0
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 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
PHX @ ATL WNBA
Assists 8.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
28.4
Fit
5
2
PHX @ ATL WNBA
Rebounds 8.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
27.9
Fit
5
3
PHX @ ATL WNBA
Points 15.5 OVER
67.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
28
Fit
4
4
PHX @ ATL WNBA
Points 11.5 OVER
65.8 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
21.8
Fit
4

📋 Full Board (1538 picks · Page 41/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1001 George Springer TOR TOR @ HOU Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1002 Gunnar Henderson BAL LAA @ BAL Runs 1.5 4.5 D 9.2 -5 Pending
1003 Gunnar Henderson BAL LAA @ BAL Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1004 Heriberto Hernandez MIA MIA @ ATL Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1005 Hunter Goodman COL TB @ COL Runs 1.5 4.5 D 9.2 -5 Pending
1006 Isaac Paredes HOU TOR @ HOU Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1007 Javier Sanoja MIA MIA @ ATL Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1008 Jimmy Crooks STL STL @ NYY Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1009 Jo Adell CLE NYM @ CLE Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1010 Luis Robert Jr. NYM NYM @ CLE Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1011 Munetaka Murakami CWS CWS @ BOS Runs 1.5 4.5 D 9.2 -5 Pending
1012 Munetaka Murakami CWS CWS @ BOS Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1013 Nick Gonzales PIT PIT @ MIL Total Bases 1.5 4.5 D 9.2 -5 Pending
1014 Nick Loftin KC MIN @ KC Hits 1.5 4.5 D 9.2 -5 Pending
1015 Pete Alonso BAL LAA @ BAL Runs 1.5 4.5 D 9.2 -5 Pending
1016 Richie Palacios TB TB @ COL Hits 1.5 4.5 D 9.2 -5 Pending
1017 Richie Palacios TB TB @ COL Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1018 Shohei Ohtani LAD LAD @ CHC Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1019 Taylor Walls TB TB @ COL Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1020 TJ Rumfield COL TB @ COL Runs 1.5 4.5 D 9.2 -5 Pending
1021 Trent Grisham NYY STL @ NYY Runs 1.5 4.5 D 9.2 -5 Pending
1022 Wade Meckler LAA LAA @ BAL Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1023 Yandy Diaz TB TB @ COL Runs 1.5 4.5 D 9.2 -5 Pending
1024 Daylen Lile WSH WSH @ PHI Total Bases 2.5 4.1 D 9.2 -5 Pending
1025 Manny Machado SD SD @ ARI Total Bases 2.5 4.1 D 9.2 -5 Pending
Showing 1001–1025 of 1538 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.