📡 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 3 – Jun 1 →
Wins
50
Losses
112
Push
12
Win %
30.9%
Pending
0
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
1
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
2
Total Bases 1.5 OVER
45.2 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
51
Clean
19.9
Fit
0
3
Total Bases 1.5 OVER
43.9 D
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
20.4
Fit
0
4
Total Bases 1.5 OVER
43.3 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
47
Clean
19.8
Fit
0

📋 Full Board (837 picks · Page 10/34)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
226 Tristan Gray MIN CWS @ MIN Total Bases 1.5 8.4 D 9.4 -5 Pending
227 Vinnie Pasquantino KC KC @ CIN Total Bases 1.5 8.4 D 9.4 -5 Pending
228 William Contreras MIL SF @ MIL Total Bases 1.5 8.4 D 9.4 -5 Pending
229 Bryce Eldridge SF SF @ MIL Runs Batted In 0.5 8.3 D 9.2 -5 Pending
230 Dillon Dingler DET DET @ TB Total Bases 1.5 8.3 D 9.2 -5 Pending
231 Edouard Julien COL COL @ LAA Hits 0.5 8.3 D 9.2 -5 Pending
232 Garrett Mitchell MIL SF @ MIL Total Bases 1.5 8.3 D 9.2 -5 Pending
233 Hunter Goodman COL COL @ LAA Home Runs 0.5 8.3 D 9.2 -5 Pending
234 Jake Bauers MIL SF @ MIL Home Runs 0.5 8.3 D 9.2 -5 Pending
235 James Wood WSH MIA @ WSH Home Runs 0.5 8.3 D 9.2 -5 Pending
236 Jesus Rodriguez SF SF @ MIL Runs 0.5 8.3 D 9.2 -5 Pending
237 Jhonny Pereda SEA NYM @ SEA Runs 0.5 8.3 D 9.2 -5 Pending
238 Jo Adell LAA COL @ LAA Total Bases 1.5 8.3 D 9.2 -5 Pending
239 Joey Ortiz MIL SF @ MIL Hits 0.5 8.3 D 9.2 -5 Pending
240 Jonathan Aranda TB DET @ TB Home Runs 0.5 8.3 D 9.2 -5 Pending
241 Kody Clemens MIN CWS @ MIN Home Runs 0.5 8.3 D 9.2 -5 Pending
242 Kyle Karros COL COL @ LAA Home Runs 0.5 8.3 D 9.2 -5 Pending
243 Luis Garcia Jr. WSH MIA @ WSH Home Runs 0.5 8.3 D 9.2 -5 Pending
244 Luis Garcia Jr. WSH MIA @ WSH Runs Batted In 1.5 8.3 D 9.2 -5 Pending
245 Michael Massey KC KC @ CIN Total Bases 1.5 8.3 D 9.2 -5 Pending
246 Rafael Devers SF SF @ MIL Hits 1.5 8.3 D 9.2 -5 Pending
247 Wenceel Perez DET DET @ TB Home Runs 0.5 8.3 D 9.2 -5 Pending
248 Willy Adames SF SF @ MIL Home Runs 0.5 8.3 D 9.2 -5 Pending
249 Dylan Crews WSH MIA @ WSH Total Bases 1.5 8.3 D 10.3 -5 Pending
250 Gabriel Moreno AZ LAD @ ARI Hits 1.5 8.3 D 10.3 -5 Pending
Showing 226–250 of 837 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.