📡 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 |
← Apr 30 – May 6 →
Wins
22
Losses
34
Win %
39.3%
Pending
0
Mon 11/2 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Total Bases 1.5 OVER
65.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
87
Clean
22.6
Fit
0
2
Hits 0.5 OVER
60.7 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
21.1
Fit
0
3
Hits 0.5 OVER
60.7 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
21.1
Fit
0
4
Total Bases 1.5 OVER
58.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
77
Clean
20.4
Fit
0

📋 Full Board (1393 picks · Page 45/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1101 Rob Refsnyder SEA SEA @ ATL Runs 0.5 6 D 9.2 -5 Pending
1102 Adolis Garcia PHI PHI @ OAK Total Bases 1.5 6 D 9.6 -5 Pending
1103 Alec Bohm PHI PHI @ OAK Total Bases 1.5 6 D 9.6 -5 Pending
1104 Edmundo Sosa PHI PHI @ OAK Total Bases 1.5 6 D 9.6 -5 Pending
1105 George Springer TOR TOR @ TB Total Bases 1.5 6 D 9.6 -5 Pending
1106 Jose Ramirez CLE CLE @ KC Total Bases 1.5 6 D 9.6 -5 Pending
1107 Maikel Garcia KC CLE @ KC Total Bases 1.5 6 D 9.6 -5 Pending
1108 Nolan Arenado AZ PIT @ ARI Total Bases 1.5 6 D 9.6 -5 Pending
1109 Travis Bazzana CLE CLE @ KC Total Bases 1.5 6 D 9.6 -5 Pending
1110 Randy Arozarena SEA SEA @ ATL Runs Batted In 0.5 5.9 D 9.2 -5 Pending
1111 Adolis Garcia PHI PHI @ OAK Runs 0.5 5.8 D 9.2 -5 Pending
1112 Alec Bohm PHI PHI @ OAK Runs 0.5 5.8 D 9.2 -5 Pending
1113 Alec Burleson STL MIL @ STL Home Runs 0.5 5.8 D 9.2 -5 Pending
1114 Alek Thomas AZ PIT @ ARI Hits 0.5 5.8 D 9.2 -5 Pending
1115 Angel Martinez CLE CLE @ KC Runs 0.5 5.8 D 9.2 -5 Pending
1116 Angel Martinez CLE CLE @ KC Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1117 Austin Hedges CLE CLE @ KC Home Runs 0.5 5.8 D 9.2 -5 Pending
1118 Austin Hedges CLE CLE @ KC Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1119 Austin Martin MIN MIN @ WSH Runs 0.5 5.8 D 9.2 -5 Pending
1120 Austin Martin MIN MIN @ WSH Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1121 Ben Williamson TB TOR @ TB Runs 0.5 5.8 D 9.2 -5 Pending
1122 Ben Williamson TB TOR @ TB Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1123 Bobby Witt Jr. KC CLE @ KC Home Runs 0.5 5.8 D 9.2 -5 Pending
1124 Bobby Witt Jr. KC CLE @ KC Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1125 Brandon Lowe PIT PIT @ ARI Home Runs 0.5 5.8 D 9.2 -5 Pending
Showing 1101–1125 of 1393 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.