📡 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 10 →
Wins
4
Losses
2
Win %
66.7%
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
DAL @ TORONT WNBA
Points 21.5 OVER
67.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.6
Fit
4
2
DAL @ TORONT WNBA
Points 21.5 OVER
63.6 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
21
Fit
4
3
DAL @ TORONT WNBA
Assists 6.5 OVER
63.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
43
Clean
28.6
Fit
5
4
DAL @ TORONT WNBA
Rebounds 4.5 OVER
62.8 C+
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
23
Fit
5

📋 Full Board (1471 picks · Page 23/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
551 Sung-Mun Song SD TOR @ SD Hits 0.5 10 D 9.2 -5 Pending
552 Xander Bogaerts SD TOR @ SD Hits 0.5 10 D 9.2 -5 Pending
553 Lourdes Gurriel Jr. AZ ARI @ LAD Total Bases 1.5 9.8 D 12.2 -5 Pending
554 Corbin Carroll AZ ARI @ LAD Total Bases 1.5 9.1 D 9.8 -5 Pending
555 Hunter Goodman COL COL @ SF Total Bases 1.5 9.1 D 9.8 -5 Pending
556 Jackson Chourio MIL MIL @ PIT Hits 1.5 9.1 D 9.8 -5 Pending
557 Jasson Domínguez NYY NYY @ WSH Hits 1.5 9.1 D 9.8 -5 Pending
558 Jasson Domínguez NYY NYY @ WSH Total Bases 1.5 9.1 D 9.8 -5 Pending
559 Lawrence Butler OAK OAK @ ATHLETICS@ Total Bases 1.5 9.1 D 9.8 -5 Pending
560 Luis Arraez SF COL @ SF Hits 1.5 9.1 D 9.8 -5 Pending
561 Masyn Winn STL ATL @ STL Total Bases 1.5 9.1 D 9.8 -5 Pending
562 Miguel Rojas LAD ARI @ LAD Total Bases 1.5 9.1 D 9.8 -5 Pending
563 Travis Bazzana CLE CLE @ MIA Total Bases 1.5 9.1 D 9.8 -5 Pending
564 Tsung-Che Cheng BOS BOS @ NYM Total Bases 1.5 9.1 D 9.8 -5 Pending
565 Wilyer Abreu BOS BOS @ NYM Total Bases 1.5 9.1 D 9.8 -5 Pending
566 Colt Keith DET PHI @ DET Total Bases 1.5 9 D 9.2 -5 Pending
567 Ezequiel Duran TEX HOU @ TEX Total Bases 1.5 9 D 9.2 -5 Pending
568 Gabriel Arias CLE CLE @ MIA Total Bases 1.5 9 D 9.2 -5 Pending
569 Hunter Feduccia TB SEA @ TB Total Bases 1.5 9 D 9.2 -5 Pending
570 J.T. Realmuto PHI PHI @ DET Total Bases 1.5 9 D 9.2 -5 Pending
571 Nolan Schanuel LAA LAA @ MIN Total Bases 1.5 9 D 9.2 -5 Pending
572 Pete Alonso BAL KC @ BAL Total Bases 1.5 9 D 9.2 -5 Pending
573 Royce Lewis MIN LAA @ MIN Total Bases 1.5 9 D 9.2 -5 Pending
574 Tristan Peters CWS CWS @ ATHLETICS@ Total Bases 1.5 9 D 9.2 -5 Pending
575 Carson Palmquist WSH NYY @ WSH Strikeouts 1.5 8.8 D 9.4 -5 Pending
Showing 551–575 of 1471 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.