📡 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 |
← Sep 13 – Sep 26 →
Wins
27
Losses
37
Push
2
Win %
42.2%
Pending
0
Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25 Thu 9/24
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
2
Hits 0.5 OVER
49.4 D
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
21.4
Fit
0
3
Hits 0.5 OVER
46.7 D
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
21.2
Fit
0
4
Hits 0.5 OVER
46.6 D
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
20.7
Fit
0

📋 Full Board (685 picks · Page 9/28)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
201 Enrique Hernandez LAD LAD @ SF Hits 0.5 8.3 D 9.2 -5 Pending
202 Ethan Salas SD ARI @ SD Runs Batted In 0.5 8.3 D 9.2 -5 Pending
203 Eugenio Suarez CIN CIN @ TOR Home Runs 0.5 8.3 D 9.2 -5 Pending
204 Fernando Tatis Jr. SD ARI @ SD Runs Batted In 0.5 8.3 D 9.2 -5 Pending
205 Isaac Paredes HOU HOU @ OAK Home Runs 0.5 8.3 D 9.2 -5 Pending
206 Jacob Young WSH NYM @ WSH Runs Batted In 0.5 8.3 D 9.2 -5 Pending
207 Jake Mangum PIT PIT @ DET Hits 0.5 8.3 D 9.2 -5 Pending
208 Jonathan Aranda TB TB @ PHI Runs Batted In 0.5 8.3 D 9.2 -5 Pending
209 Jordan Lawlar ARI ARI @ SD Hits 0.5 8.3 D 9.2 -5 Pending
210 Juan Brito CIN CIN @ TOR Runs Batted In 0.5 8.3 D 9.2 -5 Pending
211 Keibert Ruiz WSH NYM @ WSH Hits 0.5 8.3 D 9.2 -5 Pending
212 Luis Campusano SD ARI @ SD Runs Batted In 0.5 8.3 D 9.2 -5 Pending
213 Luis Torrens NYM NYM @ WSH Hits 0.5 8.3 D 9.2 -5 Pending
214 Miguel Rojas LAD LAD @ SF Hits 0.5 8.3 D 9.2 -5 Pending
215 Ozzie Albies ATL ATL @ MIA Runs Batted In 0.5 8.3 D 9.2 -5 Pending
216 Scott Bandura SF LAD @ SF Hits 0.5 8.3 D 9.2 -5 Pending
217 Sean Keys TOR CIN @ TOR Runs Batted In 0.5 8.3 D 9.2 -5 Pending
218 Tommy Edman LAD LAD @ SF Home Runs 0.5 8.3 D 9.2 -5 Pending
219 Tyler Stephenson CIN CIN @ TOR Hits 0.5 8.3 D 9.2 -5 Pending
220 Will Smith LAD LAD @ SF Home Runs 0.5 8.3 D 9.2 -5 Pending
221 Yainer Diaz HOU HOU @ OAK Home Runs 0.5 8.3 D 9.2 -5 Pending
222 Munetaka Murakami CWS COL @ CWS Hits 1.5 8.3 D 10.3 -5 Pending
223 Zach Neto LAA LAA @ SEA Hits 1.5 8.3 D 10.3 -5 Pending
224 Ivan Herrera STL STL @ MIL Runs Batted In 1.5 8.1 D 9.2 -5 Pending
225 Jeff McNeil OAK HOU @ OAK Runs Batted In 1.5 7.7 D 9.2 -5 Pending
Showing 201–225 of 685 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.