📡 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 26 – Aug 8 →
Wins
26
Losses
27
Push
31
Win %
49.1%
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
SEA @ 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
LV @ MIN WNBA
Points 12.5 OVER
61.8 C+
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
22.3
Fit
4
3
IND @ CHI WNBA
Rebounds 7.5 OVER
61.2 C+
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
22
Fit
5
4
SEA @ POR WNBA
Rebounds 4.5 OVER
59.6 C+
  • Heavy minutes projection
  • Stable player role
Raw
46
Clean
20.9
Fit
5

📋 Full Board (1484 picks · Page 30/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
726 Owen Caissie MIA LAA @ MIA Home Runs 0.5 5.8 D 9.2 -5 Pending
727 Ozzie Albies ATL ATL @ NYY Home Runs 0.5 5.8 D 9.2 -5 Pending
728 Pete Crow-Armstrong CHC CHC @ KC Runs Batted In 1.5 5.8 D 9.2 -5 Pending
729 Rhys Hoskins CLE CLE @ CWS Home Runs 0.5 5.8 D 9.2 -5 Pending
730 Rhys Hoskins CLE CLE @ CWS Total Bases 1.5 5.8 D 9.2 -5 Pending
731 Richie Palacios TB TB @ SEA Home Runs 0.5 5.8 D 9.2 -5 Pending
732 Riley Greene DET DET @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
733 Ronny Simon PIT NYM @ PIT Runs Batted In 0.5 5.8 D 9.2 -5 Pending
734 Ryan Kreidler MIN MIN @ MIL Runs 0.5 5.8 D 9.2 -5 Pending
735 Ryan Waldschmidt AZ LAD @ ARI Home Runs 0.5 5.8 D 9.2 -5 Pending
736 Seiya Suzuki CHC CHC @ KC Home Runs 0.5 5.8 D 9.2 -5 Pending
737 Steven Kwan CLE CLE @ CWS Home Runs 0.5 5.8 D 9.2 -5 Pending
738 Taylor Trammell HOU HOU @ SD Home Runs 0.5 5.8 D 9.2 -5 Pending
739 Taylor Trammell HOU HOU @ SD Total Bases 1.5 5.8 D 9.2 -5 Pending
740 Teoscar Hernandez LAD LAD @ ARI Home Runs 0.5 5.8 D 9.2 -5 Pending
741 Teoscar Hernandez LAD LAD @ ARI Runs Batted In 0.5 5.8 D 9.2 -5 Pending
742 Teoscar Hernandez LAD LAD @ ARI Total Bases 1.5 5.8 D 9.2 -5 Pending
743 Tommy Edman LAD LAD @ ARI Home Runs 0.5 5.8 D 9.2 -5 Pending
744 Tommy Edman LAD LAD @ ARI Runs 0.5 5.8 D 9.2 -5 Pending
745 Travis d'Arnaud LAA LAA @ MIA Home Runs 0.5 5.8 D 9.2 -5 Pending
746 Travis d'Arnaud LAA LAA @ MIA Total Bases 1.5 5.8 D 9.2 -5 Pending
747 Trent Grisham NYY ATL @ NYY Home Runs 0.5 5.8 D 9.2 -5 Pending
748 Tyler Soderstrom OAK OAK @ ATHLETICS@ Home Runs 0.5 5.8 D 9.2 -5 Pending
749 Victor Caratini MIN MIN @ MIL Runs 0.5 5.8 D 9.2 -5 Pending
750 Victor Caratini MIN MIN @ MIL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
Showing 726–750 of 1484 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.