📡 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 21 – Oct 4 →
Wins
25
Losses
43
Push
1
Win %
36.8%
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
LV @ GSV WNBA
Assists 6.5 OVER
66.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.9
Fit
5
2
LV @ GSV WNBA
Points 25.5 OVER
61.5 C+
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
22.7
Fit
4
3
LV @ GSV WNBA
Points 12.5 OVER
60.1 C+
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
23.4
Fit
4
4
LV @ GSV WNBA
Rebounds 3.5 OVER
59.9 C+
  • Heavy minutes projection
  • Stable player role
Raw
44
Clean
22
Fit
5

📋 Full Board (247 picks · Page 6/10)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
126 Manny Machado SD SD @ MIL Runs 1.5 5.6 D 9.2 -5 Pending
127 Andy Pages LAD ATL @ LAD Runs Batted In 1.5 5.5 D 9.2 -5 Pending
128 Austin Riley ATL ATL @ LAD Total Bases 1.5 5.5 D 9.2 -5 Pending
129 Matt Olson ATL ATL @ LAD Total Bases 1.5 5.5 D 9.2 -5 Pending
130 Mookie Betts LAD ATL @ LAD Hits 1.5 5.5 D 9.2 -5 Pending
131 Michael Harris II ATL ATL @ LAD Runs Batted In 1.5 5.1 D 9.2 -5 Pending
132 Christian Yelich MIL SD @ MIL Hits 1.5 5.1 D 10.3 -5 Pending
133 Fernando Tatis Jr. SD SD @ MIL Runs Batted In 1.5 5.1 D 10.3 -5 Pending
134 Garrett Mitchell MIL SD @ MIL Hits 1.5 5.1 D 10.3 -5 Pending
135 Luis Lara MIL SD @ MIL Hits 1.5 5.1 D 10.3 -5 Pending
136 Xander Bogaerts SD SD @ MIL Runs Batted In 1.5 5.1 D 10.3 -5 Pending
137 Andy Pages LAD ATL @ LAD Hits 1.5 4.8 D 9.2 -5 Pending
138 Austin Riley ATL ATL @ LAD Runs Batted In 1.5 4.8 D 9.2 -5 Pending
139 Drake Baldwin ATL ATL @ LAD Runs Batted In 1.5 4.8 D 9.2 -5 Pending
140 Freddie Freeman LAD ATL @ LAD Hits 1.5 4.8 D 9.2 -5 Pending
141 Ha-Seong Kim ATL ATL @ LAD Total Bases 1.5 4.8 D 9.2 -5 Pending
142 Jackson Merrill SD SD @ MIL Runs Batted In 1.5 4.8 D 9.2 -5 Pending
143 Jake Bauers MIL SD @ MIL Runs Batted In 1.5 4.8 D 9.2 -5 Pending
144 Matt Olson ATL ATL @ LAD Runs Batted In 1.5 4.8 D 9.2 -5 Pending
145 Max Muncy LAD ATL @ LAD Hits 1.5 4.8 D 9.2 -5 Pending
146 Kyle Tucker LAD ATL @ LAD Runs Batted In 1.5 4.5 D 9.2 -5 Pending
147 Matt Olson ATL ATL @ LAD Runs 1.5 4.5 D 9.2 -5 Pending
148 Mauricio Dubon ATL ATL @ LAD Runs Batted In 1.5 4.5 D 9.2 -5 Pending
149 DeWanna Bonner NY @ ATL Rebounds 4.5 3.6 D 1 -5 Pending
150 Cooper Pratt MIL SD @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 126–150 of 247 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.