📡 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 |
← Jun 3 →
Wins
3
Losses
3
Win %
50%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Fri 10/16
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
4
Caleb Durbin
BOS BAL @ BOS MLB
Hits 0.5 OVER
48.5 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.1
Fit
0
5
Spencer Steer
CIN KC @ CIN MLB
Hits 0.5 OVER
48.5 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.1
Fit
0
6
Chase Meidroth
CWS CWS @ MIN MLB
Hits 0.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.2
Fit
0
7
Mickey Gasper
BOS BAL @ BOS MLB
Hits 0.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.2
Fit
0

📋 Full Board (1412 picks · Page 12/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
286 Rafael Devers SF SF @ MIL Total Bases 1.5 30.9 D 17.2 0 Pending
287 Willy Adames SF SF @ MIL Total Bases 1.5 30.9 D 17.2 0 Pending
288 Anthony Volpe NYY CLE @ NYY Hits 0.5 30.5 D 17.2 0 Pending
289 Dillon Dingler DET DET @ TB Hits 0.5 30.5 D 17.2 0 Pending
290 Drew Gilbert SF SF @ MIL Total Bases 1.5 30.5 D 17.2 0 Pending
291 Ezequiel Tovar COL COL @ LAA Runs Batted In 0.5 30.5 D 17.2 0 Pending
292 Ian Happ CHC CHC @ ATHLETICS@ Runs Batted In 0.5 30.5 D 17.2 0 Pending
293 Jonathan Aranda TB DET @ TB Total Bases 1.5 30.5 D 17.2 0 Pending
294 Willy Adames SF SF @ MIL Hits 0.5 30.5 D 17.2 0 Pending
295 Austin Wells NYY CLE @ NYY Hits 0.5 30.2 D 17.2 0 Pending
296 Brandon Lowe PIT PIT @ HOU Runs Batted In 0.5 30.2 D 17.2 0 Pending
297 Brice Turang MIL SF @ MIL Hits 0.5 30.2 D 17.2 0 Pending
298 Carson Kelly CHC CHC @ ATHLETICS@ Hits 0.5 30.2 D 17.2 0 Pending
299 Christian Walker HOU PIT @ HOU Runs Batted In 0.5 30.2 D 17.2 0 Pending
300 Christian Yelich MIL SF @ MIL Runs Batted In 0.5 30.2 D 17.2 0 Pending
301 Daniel Susac SF SF @ MIL Hits 0.5 30.2 D 17.2 0 Pending
302 Geraldo Perdomo AZ LAD @ ARI Hits 0.5 30.2 D 17.2 0 Pending
303 Isaac Paredes HOU PIT @ HOU Runs Batted In 0.5 30.2 D 17.2 0 Pending
304 Logan O'Hoppe LAA COL @ LAA Hits 0.5 30.2 D 17.2 0 Pending
305 Michael Busch CHC CHC @ ATHLETICS@ Runs Batted In 0.5 30.2 D 17.2 0 Pending
306 Nick Gonzales PIT PIT @ HOU Runs Batted In 0.5 30.2 D 17.2 0 Pending
307 Ozzie Albies ATL TOR @ ATL Runs Batted In 0.5 30.2 D 17.2 0 Pending
308 Riley Greene DET DET @ TB Runs Batted In 0.5 30.2 D 17.2 0 Pending
309 Wade Meckler LAA COL @ LAA Hits 0.5 30.2 D 17.2 0 Pending
310 Willi Castro COL COL @ LAA Runs Batted In 0.5 30.2 D 17.2 0 Pending
Showing 276–300 of 1412 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.