📡 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 8 →
Wins
3
Losses
3
Win %
50%
Pending
0
Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19 Sun 10/18 Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
MIN @ CON WNBA
Rebounds 7.5 OVER
63.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
21.9
Fit
5
2
GSV @ TORONT WNBA
Points 20.5 OVER
62.1 C+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
20.5
Fit
4
3
GSV @ TORONT WNBA
Points 9.5 OVER
61.5 C+
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
22
Fit
4
4
IND @ LA WNBA
Points 16.5 OVER
57.2 C+
  • Projected edge vs line
  • Heavy minutes projection
Raw
67
Clean
11.9
Fit
4

📋 Full Board (1447 picks · Page 34/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
826 Jac Caglianone KC KC @ NYM Runs Batted In 0.5 6.1 D 9.2 -5 Pending
827 Jake Burger TEX LAA @ TEX Runs Batted In 0.5 6.1 D 9.2 -5 Pending
828 Jarren Duran BOS BOS @ CWS Hits 0.5 6.1 D 9.2 -5 Pending
829 Javier Sanoja MIA SEA @ MIA Runs Batted In 0.5 6.1 D 9.2 -5 Pending
830 Jo Adell LAA LAA @ TEX Hits 0.5 6.1 D 9.2 -5 Pending
831 Jonah Heim OAK OAK @ ATHLETICS@ Total Bases 1.5 6.1 D 9.2 -5 Pending
832 Jose Caballero NYY NYY @ TB Home Runs 0.5 6.1 D 9.2 -5 Pending
833 Kyle Schwarber PHI PHI @ CIN Runs Batted In 0.5 6.1 D 9.2 -5 Pending
834 Luis Campusano SD ARI @ SD Total Bases 1.5 6.1 D 9.2 -5 Pending
835 Michael Conforto CHC CHC @ BAL Home Runs 0.5 6.1 D 9.2 -5 Pending
836 Mickey Moniak COL COL @ LAD Runs Batted In 0.5 6.1 D 9.2 -5 Pending
837 Nick Allen HOU HOU @ WSH Runs 0.5 6.1 D 9.2 -5 Pending
838 Nick Kurtz OAK OAK @ ATHLETICS@ Runs Batted In 0.5 6.1 D 9.2 -5 Pending
839 Ryan Kreidler MIN CLE @ MIN Runs Batted In 0.5 6.1 D 9.2 -5 Pending
840 Shea Langeliers OAK OAK @ ATHLETICS@ Total Bases 1.5 6.1 D 9.2 -5 Pending
841 Spencer Torkelson DET DET @ ATHLETICS@ Total Bases 1.5 6.1 D 9.2 -5 Pending
842 Troy Johnston COL COL @ LAD Runs Batted In 0.5 6.1 D 9.2 -5 Pending
843 Zach Dezenzo HOU HOU @ WSH Runs 0.5 6.1 D 9.2 -5 Pending
844 Zach McKinstry DET DET @ ATHLETICS@ Runs Batted In 0.5 6.1 D 9.2 -5 Pending
845 Andy Pages LAD COL @ LAD Total Bases 1.5 6 D 9.6 -5 Pending
846 Ben Malgeri DET DET @ ATHLETICS@ Total Bases 1.5 6 D 9.6 -5 Pending
847 Bobby Witt Jr. KC KC @ NYM Hits 1.5 6 D 9.6 -5 Pending
848 Bobby Witt Jr. KC KC @ NYM Total Bases 1.5 6 D 9.6 -5 Pending
849 Carson Kelly CHC CHC @ BAL Hits 1.5 6 D 9.6 -5 Pending
850 Dominic Smith ATL ATL @ PIT Total Bases 1.5 6 D 9.6 -5 Pending
Showing 826–850 of 1447 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.