📡 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 |
← Apr 18 – Apr 24 →
Wins
15
Losses
24
Push
1
Win %
38.5%
Pending
0
Wed 11/4 Mon 11/2 Sun 11/1 Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Points 24.5 OVER
71.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
26.3
Fit
4
2
Rebounds 5.5 OVER
61.7 C+
  • Heavy minutes projection
  • Stable player role
Raw
40
Clean
26.6
Fit
5
3
Assists 7.5 OVER
59.3 C+
  • Heavy minutes projection
  • Stable player role
Raw
41
Clean
25.3
Fit
5
4
Rebounds 8.5 OVER
58.1 C+
  • Heavy minutes projection
  • Stable player role
Raw
33
Clean
26
Fit
5

📋 Full Board (1437 picks · Page 49/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1201 Jordan Walker STL STL @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1202 Jose Altuve HOU HOU @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1203 Jung Hoo Lee SF MIA @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1204 Justin Crawford PHI PHI @ ATL Runs 1.5 3.2 D 9.2 -5 Pending
1205 Kody Clemens MIN MIN @ TB Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1206 Kyle Stowers MIA MIA @ SF Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1207 Lane Thomas KC LAA @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1208 Lawrence Butler OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1209 Logan O'Hoppe LAA LAA @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1210 Luis Arraez SF MIA @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1211 Luke Keaschall MIN MIN @ TB Runs 1.5 3.2 D 9.2 -5 Pending
1212 Maikel Garcia KC LAA @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1213 Matt Chapman SF MIA @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1214 Miguel Amaya CHC CHC @ LAD Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1215 Moisés Ballesteros CHC CHC @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1216 Nick Loftin KC LAA @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1217 Nolan Gorman STL STL @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1218 Oswald Peraza LAA LAA @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1219 Pedro Pages STL STL @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1220 Pete Crow-Armstrong CHC CHC @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1221 Rafael Devers SF MIA @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1222 Rafael Marchan PHI PHI @ ATL Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1223 Richie Palacios TB MIN @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1224 Royce Lewis MIN MIN @ TB Runs 1.5 3.2 D 9.2 -5 Pending
1225 Sal Frelick MIL PIT @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1201–1225 of 1437 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.