📡 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 6 – Jul 19 →
Wins
38
Losses
28
Push
6
Win %
57.6%
Pending
0
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 Fri 10/9 Thu 10/8 Wed 10/7
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ DAL WNBA
Rebounds 4.5 OVER
71.8 B
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.2
Fit
5
2
LA @ DAL WNBA
Points 17.5 OVER
69.3 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
23.3
Fit
4
3
CHI @ ATL WNBA
Assists 8.5 OVER
68 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
28.3
Fit
5
4
LA @ DAL WNBA
Assists 3.5 OVER
67.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
61
Clean
23.5
Fit
5

📋 Full Board (1496 picks · Page 45/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1101 Travis Bazzana CLE PIT @ CLE Home Runs 0.5 5.8 D 9.2 -5 Pending
1102 Travis Bazzana CLE PIT @ CLE Total Bases 1.5 5.8 D 9.2 -5 Pending
1103 Trent Grisham NYY LAD @ NYY Home Runs 0.5 5.8 D 9.2 -5 Pending
1104 Troy Johnston COL CIN @ COL Hits 0.5 5.8 D 9.2 -5 Pending
1105 Troy Johnston COL CIN @ COL Runs 0.5 5.8 D 9.2 -5 Pending
1106 Troy Johnston COL CIN @ COL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1107 Vaughn Grissom LAA DET @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
1108 Vaughn Grissom LAA DET @ LAA Runs 0.5 5.8 D 9.2 -5 Pending
1109 Victor Caratini MIN MIN @ CHC Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1110 Victor Robles SEA SF @ SEA Hits 0.5 5.8 D 9.2 -5 Pending
1111 Victor Robles SEA SF @ SEA Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1112 Vinnie Pasquantino KC SD @ KC Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1113 Vladimir Guerrero Jr. TOR CWS @ TOR Home Runs 0.5 5.8 D 9.2 -5 Pending
1114 Weston Wilson SEA SF @ SEA Runs 0.5 5.8 D 9.2 -5 Pending
1115 William Contreras MIL MIA @ MIL Hits 0.5 5.8 D 9.2 -5 Pending
1116 Willson Contreras BOS TB @ BOS Home Runs 0.5 5.8 D 9.2 -5 Pending
1117 Wyatt Langford TEX TEX @ ATL Home Runs 0.5 5.8 D 9.2 -5 Pending
1118 Xavier Edwards MIA MIA @ MIL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1119 Yainer Diaz HOU BAL @ HOU Home Runs 0.5 5.8 D 9.2 -5 Pending
1120 Yandy Diaz TB TB @ BOS Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1121 Yordan Alvarez HOU BAL @ HOU Home Runs 0.5 5.8 D 9.2 -5 Pending
1122 Zach McKinstry DET DET @ LAA Runs 0.5 5.8 D 9.2 -5 Pending
1123 Zach McKinstry DET DET @ LAA Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1124 Andrew Benintendi CWS CWS @ TOR Runs Batted In 1.5 5.5 D 9.2 -5 Pending
1125 Brandon Lowe PIT PIT @ CLE Total Bases 1.5 5.5 D 9.2 -5 Pending
Showing 1101–1125 of 1496 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.