📡 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 |
← Aug 22 – Sep 20 →
Wins
24
Losses
35
Push
4
Win %
40.7%
Pending
0
Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
NY @ TORONTO WNBA
Points 16.5 OVER
77.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
87
Clean
22.8
Fit
4
2
POR @ LA WNBA
Points 7.5 OVER
76.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
85
Clean
22.8
Fit
4
3
POR @ LA WNBA
Points 14.5 OVER
75 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
83
Clean
22.4
Fit
4
4
SEA @ LV WNBA
Points 13.5 OVER
71.2 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
77
Clean
21.7
Fit
4

📋 Full Board (2103 picks · Page 28/85)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
676 Cal Raleigh SEA SEA @ COL Total Bases 2.5 7.7 D 9.2 -5 Pending
677 Francisco Lindor NYM PHI @ NYM Total Bases 1.5 7.7 D 9.2 -5 Pending
678 Freddie Freeman LAD SF @ LAD Hits 1.5 7.7 D 9.2 -5 Pending
679 Freddie Freeman LAD SF @ LAD Total Bases 1.5 7.7 D 9.2 -5 Pending
680 Michael Harris II ATL ATL @ HOU Runs Batted In 1.5 7.7 D 9.2 -5 Pending
681 Demarcus Robinson MIA @ SF REC YDS 29.5 7.4 D -3.8 -5 Pending
682 Woody Marks — RUSH ATT 9.5 7.4 D -2 -5 Pending
683 Cody Bellinger NYY NYY @ ARI Runs Batted In 1.5 7.3 D 9.2 -5 Pending
684 Drake Baldwin ATL ATL @ HOU Runs Batted In 1.5 7.3 D 9.2 -5 Pending
685 Jake Bauers MIL MIL @ BAL Runs Batted In 1.5 7.3 D 9.2 -5 Pending
686 Jakob Marsee MIA MIA @ SD Runs 1.5 7.3 D 9.2 -5 Pending
687 Jeremy Pena HOU ATL @ HOU Runs Batted In 1.5 7.3 D 9.2 -5 Pending
688 Jose Siri LAA MIN @ LAA Runs Batted In 1.5 7.3 D 9.2 -5 Pending
689 Luis Arraez PHI PHI @ NYM Hits 1.5 7.3 D 9.2 -5 Pending
690 Maikel Garcia KC KC @ PIT Total Bases 1.5 7.3 D 9.2 -5 Pending
691 Max Clark DET DET @ CWS Runs Batted In 1.5 7.3 D 9.2 -5 Pending
692 Ozzie Albies ATL ATL @ HOU Runs 1.5 7.3 D 9.2 -5 Pending
693 Yohandy Morales WSH WSH @ STL Total Bases 1.5 7.3 D 9.2 -5 Pending
694 Kiki Iriafen WSH @ IND Rebounds 10.5 7.3 D 2.8 -5 Pending
695 Isabelle Harrison NY @ TORONTO Points 15.5 7.3 D 9.5 -5 Pending
696 Wan'Dale Robinson — Receptions 4.5 7.2 D -1.2 -5 Pending
697 Rhamondre Stevenson — RUSH YDS 51.5 7.2 D -0.6 -5 Pending
698 Drew Sample — Receptions 1.5 6.9 D -0.6 -5 Pending
699 Christian Watson — REC YDS 61.5 6.6 D -3.1 -5 Pending
700 Bobby Witt Jr. KC KC @ PIT Total Bases 2.5 6.6 D 10.3 -5 Pending
Showing 676–700 of 2103 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.