📡 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 |
← May 23 →
Wins
2
Losses
4
Win %
33.3%
Pending
0
Sun 11/1 Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
10
Total Bases 1.5 OVER
49.6 D
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
21
Fit
0
12
Hits 0.5 OVER
48.5 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.1
Fit
0
13
Hits 0.5 OVER
47.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
21.4
Fit
0
16
Total Bases 1.5 OVER
46.9 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
54
Clean
19.9
Fit
0

📋 Full Board (1323 picks · Page 39/53)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
981 Pete Crow-Armstrong CHC HOU @ CHC Runs Batted In 1.5 4.5 D 9.2 -5 Pending
982 Ronald Acuna Jr. ATL WSH @ ATL Runs Batted In 1.5 4.5 D 9.2 -5 Pending
983 Spencer Torkelson DET DET @ BAL Runs Batted In 1.5 4.5 D 9.2 -5 Pending
984 Travis Bazzana CLE CLE @ PHI Runs Batted In 1.5 4.5 D 9.2 -5 Pending
985 Trevor Larnach MIN MIN @ BOS Runs 1.5 4.5 D 9.2 -5 Pending
986 Victor Caratini MIN MIN @ BOS Hits 1.5 4.5 D 9.2 -5 Pending
987 Victor Caratini MIN MIN @ BOS Runs 1.5 4.5 D 9.2 -5 Pending
988 Andrew Benintendi CWS CWS @ SF Runs 1.5 3.9 D 9.2 -5 Pending
989 Chase Meidroth CWS CWS @ SF Runs Batted In 1.5 3.9 D 9.2 -5 Pending
990 Colson Montgomery CWS CWS @ SF Hits 1.5 3.9 D 9.2 -5 Pending
991 Colson Montgomery CWS CWS @ SF Runs 1.5 3.9 D 9.2 -5 Pending
992 Colson Montgomery CWS CWS @ SF Total Bases 1.5 3.9 D 9.2 -5 Pending
993 Daylen Lile WSH WSH @ ATL Runs 1.5 3.9 D 9.2 -5 Pending
994 Drew Romo CWS CWS @ SF Runs Batted In 1.5 3.9 D 9.2 -5 Pending
995 Jackson Merrill SD SD @ PIT@TOR Hits 1.5 3.9 D 9.2 -5 Pending
996 Jose Tena WSH WSH @ ATL Hits 1.5 3.9 D 9.2 -5 Pending
997 Jose Tena WSH WSH @ ATL Runs Batted In 1.5 3.9 D 9.2 -5 Pending
998 Marcelo Mayer BOS MIN @ BOS Hits 1.5 3.9 D 9.2 -5 Pending
999 Marcelo Mayer BOS MIN @ BOS Total Bases 1.5 3.9 D 9.2 -5 Pending
1000 Miguel Vargas CWS CWS @ SF Hits 1.5 3.9 D 9.2 -5 Pending
1001 Miguel Vargas CWS CWS @ SF Runs 1.5 3.9 D 9.2 -5 Pending
1002 Nasim Nunez WSH WSH @ ATL Runs 1.5 3.9 D 9.2 -5 Pending
1003 Nick Castellanos SD SD @ PIT@TOR Runs 1.5 3.9 D 9.2 -5 Pending
1004 Nick Sogard BOS MIN @ BOS Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1005 Ramon Laureano SD SD @ PIT@TOR Hits 1.5 3.9 D 9.2 -5 Pending
Showing 951–975 of 1323 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.