📡 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 11 – Aug 9 →
Wins
73
Losses
57
Push
49
Win %
56.2%
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 @ WSH WNBA
Rebounds 7.5 OVER
70.1 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
27.9
Fit
5
2
PHX @ WSH WNBA
Assists 8.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
28.4
Fit
5
3
PHX @ WSH WNBA
Points 14.5 OVER
69.5 B
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
28
Fit
4
4
PHX @ WSH WNBA
Points 10.5 OVER
67.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
21.8
Fit
4

📋 Full Board (1555 picks · Page 40/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
976 Ben Rice NYY ATL @ NYY Total Bases 1.5 5.5 D 9.2 -5 Pending
977 Brett Baty NYM NYM @ PIT Total Bases 1.5 5.5 D 9.2 -5 Pending
978 Bryan Reynolds PIT NYM @ PIT Total Bases 1.5 5.5 D 9.2 -5 Pending
979 Carter Jensen KC CHC @ KC Total Bases 1.5 5.5 D 9.2 -5 Pending
980 Cedric Mullins TB TB @ SEA Total Bases 1.5 5.5 D 9.2 -5 Pending
981 Christian Yelich MIL MIN @ MIL Total Bases 1.5 5.5 D 9.2 -5 Pending
982 Ildemaro Vargas AZ LAD @ ARI Total Bases 1.5 5.5 D 9.2 -5 Pending
983 Jackson Chourio MIL MIN @ MIL Hits 1.5 5.5 D 9.2 -5 Pending
984 Jake Mangum PIT NYM @ PIT Hits 1.5 5.5 D 9.2 -5 Pending
985 Joe Mack MIA LAA @ MIA Total Bases 1.5 5.5 D 9.2 -5 Pending
986 Josh Bell MIN MIN @ MIL Runs Batted In 1.5 5.5 D 9.2 -5 Pending
987 Lawrence Butler OAK OAK @ ATHLETICS@ Total Bases 1.5 5.5 D 9.2 -5 Pending
988 Luis Robert Jr. NYM NYM @ PIT Hits 1.5 5.5 D 9.2 -5 Pending
989 Luis Robert Jr. NYM NYM @ PIT Total Bases 1.5 5.5 D 9.2 -5 Pending
990 Luke Maile KC CHC @ KC Runs Batted In 1.5 5.5 D 9.2 -5 Pending
991 Mike Trout LAA LAA @ MIA Total Bases 1.5 5.5 D 9.2 -5 Pending
992 Mookie Betts LAD LAD @ ARI Total Bases 1.5 5.5 D 9.2 -5 Pending
993 Randy Arozarena SEA TB @ SEA Total Bases 1.5 5.5 D 9.2 -5 Pending
994 Ty France SD HOU @ SD Total Bases 1.5 5.5 D 9.2 -5 Pending
995 Alec Burleson STL COL @ STL Hits 1.5 5.1 D 9.2 -5 Pending
996 Andres Gimenez TOR TOR @ PHI Runs Batted In 1.5 5.1 D 9.2 -5 Pending
997 CJ Abrams WSH CIN @ WSH Runs Batted In 1.5 5.1 D 9.2 -5 Pending
998 Dansby Swanson CHC CHC @ KC Hits 1.5 5.1 D 9.2 -5 Pending
999 Daylen Lile WSH CIN @ WSH Runs Batted In 1.5 5.1 D 9.2 -5 Pending
1000 Francisco Lindor NYM NYM @ PIT Runs Batted In 1.5 5.1 D 9.2 -5 Pending
Showing 976–1000 of 1555 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.