📡 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 6 →
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
TORONTO TEMPO @ POR WNBA
Points 16.5 OVER
64.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
22.4
Fit
4
2
TORONTO TEMPO @ POR WNBA
Rebounds 3.5 OVER
63.5 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
20.9
Fit
5
3
LV @ IND WNBA
Points 12.5 OVER
61.8 C+
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
22.3
Fit
4
4
LA @ MIN WNBA
Assists 2.5 OVER
61.4 C+
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
22.1
Fit
5

📋 Full Board (1133 picks · Page 41/46)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1001 Mauricio Dubon ATL MIA @ ATL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1002 Max Kepler AZ SD @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1003 Mike Trout LAA LAA @ BAL Runs 1.5 1.9 D 9.2 -5 Pending
1004 Moises Ballesteros LAA LAA @ BAL Runs 1.5 1.9 D 9.2 -5 Pending
1005 Myles Straw TOR TOR @ CHC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1006 Nathan Lukes TOR TOR @ CHC Total Bases 1.5 1.9 D 9.2 -5 Pending
1007 Nick Gonzales PIT PIT @ MIL Hits 1.5 1.9 D 9.2 -5 Pending
1008 Nick Gonzales PIT PIT @ MIL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1009 Nick Gonzales PIT PIT @ MIL Total Bases 1.5 1.9 D 9.2 -5 Pending
1010 Nick Loftin KC MIN @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1011 Noelvi Marte CIN CIN @ ATHLETICS@ Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1012 Otto Lopez MIA MIA @ ATL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1013 Ozzie Albies ATL MIA @ ATL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1014 Patrick Bailey CLE NYM @ CLE Runs 1.5 1.9 D 9.2 -5 Pending
1015 Randy Arozarena SEA DET @ SEA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1016 Riley Greene DET DET @ SEA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1017 Ronald Acuna Jr. ATL MIA @ ATL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1018 Ryan Jeffers MIN MIN @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1019 Ryan Jeffers MIN MIN @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1020 Ryan Kreidler MIN MIN @ KC Hits 1.5 1.9 D 9.2 -5 Pending
1021 Ryan Kreidler MIN MIN @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1022 Ryan Kreidler MIN MIN @ KC Total Bases 1.5 1.9 D 9.2 -5 Pending
1023 Salvador Perez KC MIN @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1024 Spencer Horwitz PIT PIT @ MIL Hits 1.5 1.9 D 9.2 -5 Pending
1025 Tommy White OAK OAK @ ATHLETICS@ Runs 1.5 1.9 D 9.2 -5 Pending
Showing 1001–1025 of 1133 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.