📡 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 24 – Aug 6 →
Wins
34
Losses
28
Push
22
Win %
54.8%
Pending
0
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 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5
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 31/46)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
751 Isaac Collins KC MIN @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
752 Jackson Holliday BAL LAA @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
753 Jacob Wilson OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
754 Jacob Young WSH WSH @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
755 Jake Cronenworth SD SD @ ARI Runs 0.5 3.2 D 9.2 -5 Pending
756 Jake Mangum PIT PIT @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
757 Jared Triolo PIT PIT @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
758 Jared Young NYM NYM @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
759 Javier Baez DET DET @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
760 Jeff McNeil OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
761 Jo Adell CLE NYM @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
762 Joey Bart CWS CWS @ BOS Runs 0.5 3.2 D 9.2 -5 Pending
763 Joey Bart CWS CWS @ BOS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
764 Jonah Heim OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
765 Jorbit Vivas WSH WSH @ PHI Runs 0.5 3.2 D 9.2 -5 Pending
766 Jorbit Vivas WSH WSH @ PHI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
767 Jose Ramirez CLE NYM @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
768 Josh Lowe LAA LAA @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
769 Josh Naylor SEA DET @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
770 Justin Crawford PHI WSH @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
771 Kazuma Okamoto TOR TOR @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
772 Ketel Marte AZ SD @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
773 Kody Clemens MIN MIN @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
774 Kyle Isbel KC MIN @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
775 Kyle Schwarber PHI WSH @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 751–775 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.