📡 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 21/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
501 Luis Arraez SF TOR @ SF Hits 1.5 12.1 D 10.8 -5 Pending
502 Nicky Lopez TEX LAA @ TEX Total Bases 1.5 12.1 D 10.8 -5 Pending
503 Tristan Peters CWS BOS @ CWS Total Bases 1.5 12.1 D 10.8 -5 Pending
504 Zach McKinstry DET DET @ ATHLETICS@ Total Bases 1.5 12.1 D 10.8 -5 Pending
505 Zack Gelof OAK OAK @ ATHLETICS@ Total Bases 1.5 12.1 D 10.8 -5 Pending
506 Alec Burleson STL MIL @ STL Total Bases 1.5 11.8 D 9.6 -5 Pending
507 Francisco Alvarez NYM KC @ NYM Total Bases 1.5 11.8 D 9.6 -5 Pending
508 Tyler Phillips MIA SEA @ MIA Strikeouts 4.5 11.5 D 12.4 -5 Pending
509 Chase DeLauter CLE CLE @ MIN Total Bases 1.5 11.5 D 10.3 -5 Pending
510 Ryan Feltner COL COL @ LAD Strikeouts 4.5 10.9 D 10.5 -5 Pending
511 Xander Bogaerts SD ARI @ SD Total Bases 1.5 10.8 D 9.8 -5 Pending
512 Blaze Alexander BAL CHC @ BAL Total Bases 1.5 10.8 D 10.1 -5 Pending
513 Brayan Rocchio CLE CLE @ MIN Total Bases 1.5 10.8 D 10.1 -5 Pending
514 Cole Young SEA SEA @ MIA Total Bases 1.5 10.8 D 10.1 -5 Pending
515 Kazuma Okamoto TOR TOR @ SF Total Bases 1.5 10.8 D 10.1 -5 Pending
516 Sal Stewart CIN PHI @ CIN Total Bases 1.5 10.8 D 10.1 -5 Pending
517 Dearica Hamby IND @ LA Points 15.5 10.6 D 12.8 -5 Pending
518 Gunnar Henderson BAL CHC @ BAL Hits 1.5 10.5 D 11.4 -5 Pending
519 Gunnar Henderson BAL CHC @ BAL Runs 1.5 10.5 D 11.4 -5 Pending
520 Jung Hoo Lee SF TOR @ SF Hits 1.5 10.5 D 11.4 -5 Pending
521 Jung Hoo Lee SF TOR @ SF Runs 1.5 10.5 D 11.4 -5 Pending
522 Kazuma Okamoto TOR TOR @ SF Hits 1.5 10.5 D 11.4 -5 Pending
523 Nico Hoerner CHC CHC @ BAL Total Bases 1.5 10.5 D 11.4 -5 Pending
524 Rafael Devers SF TOR @ SF Hits 1.5 10.5 D 11.4 -5 Pending
525 Rafael Devers SF TOR @ SF Runs 1.5 10.5 D 11.4 -5 Pending
Showing 501–525 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.