📡 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 12 →
Wins
0
Losses
0
Push
6
Win %
0%
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
MIN @ POR WNBA
Points 15.5 OVER
66.1 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
22.4
Fit
4
2
TORONTO TEMPO @ DAL WNBA
Points 7.5 OVER
65.1 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
65
Clean
21.5
Fit
4
3
CHI @ GSV WNBA
Rebounds 6.5 OVER
65.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
22
Fit
5
4
CHI @ GSV WNBA
Points 11.5 OVER
63.3 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
21.9
Fit
4

📋 Full Board (1508 picks · Page 34/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
826 Jake Bauers MIL MIL @ SD Runs Batted In 1.5 4.8 D 9.2 -5 Pending
827 Jake McCarthy COL COL @ ARI Runs Batted In 1.5 4.8 D 9.2 -5 Pending
828 Javier Baez DET CLE @ DET Runs 1.5 4.8 D 9.2 -5 Pending
829 Javier Baez DET CLE @ DET Runs Batted In 1.5 4.8 D 9.2 -5 Pending
830 Jimmy Crooks STL PHI @ STL Runs Batted In 1.5 4.8 D 9.2 -5 Pending
831 JJ Bleday CIN CIN @ CWS Hits 1.5 4.8 D 9.2 -5 Pending
832 JJ Wetherholt STL PHI @ STL Hits 1.5 4.8 D 9.2 -5 Pending
833 JJ Wetherholt STL PHI @ STL Runs 1.5 4.8 D 9.2 -5 Pending
834 Joc Pederson TEX TEX @ LAA Runs Batted In 1.5 4.8 D 9.2 -5 Pending
835 Jonah Heim OAK TB @ OAK Runs Batted In 1.5 4.8 D 9.2 -5 Pending
836 Jonah Heim OAK TB @ OAK Total Bases 1.5 4.8 D 9.2 -5 Pending
837 Jorge Polanco NYM NYM @ ATL Hits 1.5 4.8 D 9.2 -5 Pending
838 Jose Fermin LAA PHI @ STL Runs Batted In 1.5 4.8 D 9.2 -5 Pending
839 Jung Hoo Lee SF HOU @ SF Hits 1.5 4.8 D 9.2 -5 Pending
840 Jung Hoo Lee SF HOU @ SF Runs Batted In 1.5 4.8 D 9.2 -5 Pending
841 Kyle Karros COL COL @ ARI Runs Batted In 1.5 4.8 D 9.2 -5 Pending
842 Lars Nootbaar AZ COL @ ARI Total Bases 1.5 4.8 D 9.2 -5 Pending
843 Lawrence Butler OAK TB @ OAK Hits 1.5 4.8 D 9.2 -5 Pending
844 Liam Hicks TB TB @ OAK Hits 1.5 4.8 D 9.2 -5 Pending
845 Luis Robert Jr. NYM NYM @ ATL Runs 1.5 4.8 D 9.2 -5 Pending
846 Masataka Yoshida BOS BOS @ TOR Runs Batted In 1.5 4.8 D 9.2 -5 Pending
847 Mickey Moniak COL COL @ ARI Total Bases 1.5 4.8 D 9.2 -5 Pending
848 Mookie Betts LAD KC @ LAD Runs 1.5 4.8 D 9.2 -5 Pending
849 Myles Straw TOR BOS @ TOR Hits 1.5 4.8 D 9.2 -5 Pending
850 Nick Gonzales PIT PIT @ MIA Runs Batted In 1.5 4.8 D 9.2 -5 Pending
Showing 826–850 of 1508 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.