📡 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 27 – Jun 2 →
Wins
11
Losses
19
Push
6
Win %
36.7%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Sun 10/18 Sat 10/17
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Davis Martin
CWS CWS @ MIN MLB
Strikeouts 5.5 OVER
49.9 D
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
21.8
Fit
0
2
Zack Gelof
OAK OAK @ ATHLETICS@ MLB
Hits 0.5 OVER
49.2 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.9
Fit
0
3
Ezequiel Duran
TEX TEX @ STL MLB
Total Bases 1.5 OVER
46.9 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
20.7
Fit
0
4
Cole Young
SEA NYM @ SEA MLB
Hits 0.5 OVER
46.8 D
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
21.1
Fit
0

📋 Full Board (1398 picks · Page 45/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1101 Austin Riley ATL TOR @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1102 Austin Wells NYY CLE @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1103 Blake Dunn CIN KC @ CIN Runs 1.5 3.2 D 9.2 -5 Pending
1104 Blake Dunn CIN KC @ CIN Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1105 Bobby Witt Jr. KC KC @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1106 Braden Shewmake HOU PIT @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1107 Brandon Valenzuela TOR TOR @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1108 Brandon Valenzuela TOR TOR @ ATL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1109 Brayan Rocchio CLE CLE @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1110 Brice Turang MIL SF @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1111 Bryan Torres STL TEX @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1112 Carlos Cortes OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1113 Carlos Cortes OAK OAK @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1114 Carson Kelly CHC CHC @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1115 Carson Kelly CHC CHC @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1116 Casey Schmitt SF SF @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1117 Cedric Mullins TB DET @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1118 Chandler Simpson TB DET @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1119 Chase DeLauter CLE CLE @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1120 Christian Vazquez HOU PIT @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1121 Christian Yelich MIL SF @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1122 CJ Abrams WSH MIA @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1123 Corbin Carroll AZ LAD @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1124 Daniel Schneemann CLE CLE @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1125 Daniel Susac SF SF @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1101–1125 of 1398 picks
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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.