📡 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 |
← Aug 9 →
Wins
0
Losses
0
Push
6
Win %
0%
Pending
0
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 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
PHX @ WSH WNBA
Rebounds 7.5 OVER
70.1 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
27.9
Fit
5
2
PHX @ WSH WNBA
Assists 8.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
28.4
Fit
5
3
PHX @ WSH WNBA
Points 14.5 OVER
69.5 B
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
28
Fit
4
4
PHX @ WSH WNBA
Points 10.5 OVER
67.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
21.8
Fit
4

📋 Full Board (1555 picks · Page 51/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1251 Jeremy Pena HOU HOU @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1252 JJ Wetherholt STL COL @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1253 Jo Adell CLE CLE @ CWS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1254 Joey Ortiz MIL MIN @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1255 John Rave KC CHC @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1256 Jonah Heim OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1257 Jonathan Ornelas OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1258 Jonathan Ornelas OAK OAK @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1259 Jorbit Vivas WSH CIN @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1260 Jordan Beck COL COL @ STL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1261 Jose Ramirez CLE CLE @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1262 Jose Ramirez CLE CLE @ CWS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1263 Jose Tena WSH CIN @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1264 Josh Lowe LAA LAA @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1265 Justin Crawford PHI TOR @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1266 Justin Foscue TEX BAL @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1267 Kazuma Okamoto TOR TOR @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1268 Keibert Ruiz WSH CIN @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1269 Ketel Marte AZ LAD @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1270 Ketel Marte AZ LAD @ ARI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1271 Kody Clemens MIN MIN @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1272 Kyle Karros COL COL @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1273 Kyle Schwarber PHI TOR @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1274 Kyle Stowers MIA LAA @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1275 Luis Rengifo SD HOU @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1251–1275 of 1555 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.