📡 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 |
← Jul 13 – Aug 11 →
Wins
65
Losses
53
Push
61
Win %
55.1%
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 @ LA WNBA
Rebounds 8.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
27.9
Fit
5
2
PHX @ LA WNBA
Assists 9.5 OVER
67.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
28.4
Fit
5
3
PHX @ LA WNBA
Points 16.5 OVER
66.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
28
Fit
4
4
PHX @ LA WNBA
Points 11.5 OVER
65.8 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
21.8
Fit
4

📋 Full Board (1485 picks · Page 50/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1226 Jordan Beck COL COL @ ARI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1227 Jose Fermin STL PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1228 Jose Ramirez CLE CLE @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1229 Justin Crawford PHI PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1230 Kazuma Okamoto TOR BOS @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1231 Ke'Bryan Hayes CIN CIN @ CWS Runs 0.5 3.2 D 9.2 -5 Pending
1232 Ke'Bryan Hayes CIN CIN @ CWS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1233 Kyle Karros COL COL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1234 Lars Nootbaar AZ COL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1235 Lawrence Butler OAK TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1236 Lawrence Butler OAK TB @ OAK Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1237 Leo Jimenez MIA PIT @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1238 Leody Taveras BAL BAL @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1239 Liam Hicks TB TB @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1240 Liam Hicks TB TB @ OAK Runs 0.5 3.2 D 9.2 -5 Pending
1241 Luis Arraez PHI PHI @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1242 Luis Campusano SD MIL @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1243 Luis Campusano SD MIL @ SD Runs 0.5 3.2 D 9.2 -5 Pending
1244 Luis Lara MIL MIL @ SD Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1245 Luis Rengifo SD MIL @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1246 Luis Rengifo SD MIL @ SD Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1247 Luisangel Acuna CWS CIN @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1248 Luisangel Acuna CWS CIN @ CWS Runs 0.5 3.2 D 9.2 -5 Pending
1249 Luisangel Acuna CWS CIN @ CWS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1250 Luke Keaschall MIN BAL @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1226–1250 of 1485 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.