📡 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 15 →
Wins
0
Losses
0
Push
6
Win %
0%
Pending
0
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 Fri 10/2
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ WSH WNBA
Points 7.5 OVER
69 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
71
Clean
22.8
Fit
4
2
LA @ WSH WNBA
Assists 2.5 OVER
65.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.3
Fit
5
3
LA @ WSH WNBA
Rebounds 2.5 OVER
65 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
22.5
Fit
5
4
NY @ CON WNBA
Points 18.5 OVER
64.5 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
22.8
Fit
4

📋 Full Board (1529 picks · Page 43/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1051 Jose Altuve HOU SEA @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1052 Jose Fermin STL STL @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1053 Jose Ramirez CLE SD @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1054 Kazuma Okamoto TOR NYY @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1055 Ke'Bryan Hayes CIN MIA @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1056 Kevin McGonigle DET CWS @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1057 Kyle Tucker LAD MIL @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1058 LaMonte Wade Jr. HOU SEA @ HOU Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1059 Lars Nootbaar AZ ARI @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1060 Luis Arraez PHI PHI @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1061 Luis Garcia Jr. NYY NYY @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1062 Luis Lara MIL MIL @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1063 Manny Machado SD SD @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1064 Marcus Semien NYM WSH @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
1065 Masataka Yoshida BOS BOS @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1066 Masyn Winn STL STL @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1067 Matt McLain CIN MIA @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1068 Mauricio Dubon ATL ARI @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1069 Max Clark DET CWS @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1070 Max Kepler AZ ARI @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1071 Michael Busch CHC STL @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1072 Michael Conforto CHC STL @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1073 Michael Harris II ATL ARI @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1074 Mickey Moniak COL COL @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1075 Moises Ballesteros LAA KC @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1051–1075 of 1529 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.