📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Sep 3 →
Wins
3
Losses
3
Win %
50%
Pending
0
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 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
52 C
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
21.4
Fit
0
2
Total Bases 1.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
20.9
Fit
0
3
Total Bases 1.5 OVER
43.6 D
  • Heavy minutes projection
  • Stable player role
Raw
46
Clean
20.7
Fit
0
4
Total Bases 1.5 OVER
42.2 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
45
Clean
19.6
Fit
0

📋 Full Board (860 picks · Page 34/35)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
826 Jackson Chourio MIL MIL @ CHC Runs Batted In 1.5 1.6 D 9.2 -5 Pending
827 Jacob Gonzalez PIT SF @ PIT Runs Batted In 1.5 1.6 D 9.2 -5 Pending
828 Jake Mangum PIT SF @ PIT Runs Batted In 1.5 1.6 D 9.2 -5 Pending
829 Jesus Sanchez TOR TOR @ CLE Runs 1.5 1.6 D 9.2 -5 Pending
830 Jesus Sanchez TOR TOR @ CLE Runs Batted In 1.5 1.6 D 9.2 -5 Pending
831 Jo Adell CLE TOR @ CLE Runs 1.5 1.6 D 9.2 -5 Pending
832 Jonah Cox SF SF @ PIT Runs Batted In 1.5 1.6 D 9.2 -5 Pending
833 Jonah Heim OAK OAK @ ATHLETICS@ Runs 1.5 1.6 D 9.2 -5 Pending
834 Jonah Heim OAK OAK @ ATHLETICS@ Runs Batted In 1.5 1.6 D 9.2 -5 Pending
835 Kyle Tucker LAD STL @ LAD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
836 Leody Taveras BAL BOS @ BAL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
837 Liam Hicks TB TB @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
838 Michael Busch CHC MIL @ CHC Runs Batted In 1.5 1.6 D 9.2 -5 Pending
839 Miguel Rojas LAD STL @ LAD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
840 Nate Furman SF SF @ PIT Hits 1.5 1.6 D 9.2 -5 Pending
841 Nate Furman SF SF @ PIT Runs 1.5 1.6 D 9.2 -5 Pending
842 Nate Furman SF SF @ PIT Runs Batted In 1.5 1.6 D 9.2 -5 Pending
843 Nate Furman SF SF @ PIT Total Bases 1.5 1.6 D 9.2 -5 Pending
844 Nick Loftin KC MIA @ KC Runs 1.5 1.6 D 9.2 -5 Pending
845 Pedro Ramirez CHC MIL @ CHC Runs Batted In 1.5 1.6 D 9.2 -5 Pending
846 Ramon Urias STL STL @ LAD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
847 Roman Anthony BOS BOS @ BAL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
848 Sam Antonacci CWS CWS @ HOU Hits 1.5 1.6 D 9.2 -5 Pending
849 Sam Antonacci CWS CWS @ HOU Total Bases 1.5 1.6 D 9.2 -5 Pending
850 Spencer Horwitz PIT SF @ PIT Runs 1.5 1.6 D 9.2 -5 Pending
Showing 826–850 of 860 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.