📡 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 27 – Aug 2 →
Wins
19
Losses
23
Win %
45.2%
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
CON @ DAL WNBA
Points 15.5 OVER
79.4 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
81
Clean
28.8
Fit
4
2
CON @ DAL WNBA
Rebounds 2.5 OVER
66.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
26.9
Fit
5
3
LA @ POR WNBA
Assists 2.5 OVER
66 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.5
Fit
5
4
CON @ DAL WNBA
Assists 3.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
Raw
45
Clean
26.5
Fit
5

📋 Full Board (1510 picks · Page 47/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1151 Lars Nootbaar STL STL @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1152 Liam Hicks MIA MIA @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
1153 Liam Hicks MIA MIA @ NYM Runs 0.5 3.2 D 9.2 -5 Pending
1154 Luis Arraez SF SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1155 Luis Campusano SD SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1156 Luis Rengifo SD SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1157 Luis Robert Jr. NYM MIA @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
1158 Manny Machado SD SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1159 Marcell Ozuna PIT PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1160 Masyn Winn STL STL @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1161 Matt McLain CIN PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1162 Max Kepler AZ ARI @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1163 Michael Busch CHC NYY @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1164 Michael Conforto CHC NYY @ CHC Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1165 Mike Trout LAA MIL @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1166 Mike Trout LAA MIL @ LAA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1167 Mookie Betts LAD BOS @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1168 Nasim Nunez WSH WSH @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1169 Nathan Church STL STL @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1170 Nathaniel Lowe CIN PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1171 Nathaniel Lowe CIN PIT @ CIN Runs 0.5 3.2 D 9.2 -5 Pending
1172 Nick Fortes TB CWS @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1173 Nick Gonzales PIT PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1174 Nick Loftin KC KC @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1175 Nick Loftin KC KC @ COL Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1151–1175 of 1510 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.