📡 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 |
← May 17 →
Wins
1
Losses
5
Win %
16.7%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Tue 10/20 Mon 10/19
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Cade Cunningham
DET DET @ CLE NBA
Assists 9.5 OVER
72.3 B
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
30
Fit
5
2
Donovan Mitchell
CLE DET @ CLE NBA
Points 26.5 OVER
70.2 B
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
29.9
Fit
4
3
Donovan Mitchell
CLE DET @ CLE NBA
Rebounds 5.5 OVER
67.3 B-
  • Heavy minutes projection
  • Stable player role
Raw
45
Clean
29.5
Fit
5
4
James Harden
CLE DET @ CLE NBA
Points 20.5 OVER
66.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
30
Fit
4

📋 Full Board (1484 picks · Page 53/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1301 Hunter Feduccia TB MIA @ TB Runs 1.5 2.2 D 9.2 -5 Pending
1302 Ian Happ CHC CHC @ CWS Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1303 Ivan Herrera STL STL @ KC Runs 1.5 2.2 D 9.2 -5 Pending
1304 Ivan Herrera STL STL @ KC Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1305 Jac Caglianone KC KC @ STL Runs 1.5 2.2 D 9.2 -5 Pending
1306 Jake McCarthy COL COL @ ARI Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1307 Jeff McNeil OAK SF @ OAK Runs 1.5 2.2 D 9.2 -5 Pending
1308 Jeff McNeil OAK SF @ OAK Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1309 Jesus Rodriguez SF SF @ OAK Hits 1.5 2.2 D 9.2 -5 Pending
1310 Jesus Rodriguez SF SF @ OAK Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1311 Jesus Rodriguez SF SF @ OAK Total Bases 1.5 2.2 D 9.2 -5 Pending
1312 JJ Wetherholt STL STL @ KC Runs 1.5 2.2 D 9.2 -5 Pending
1313 Jorge Soler LAA LAD @ LAA Runs 1.5 2.2 D 9.2 -5 Pending
1314 Julio Rodriguez SEA SEA @ SD Runs 1.5 2.2 D 9.2 -5 Pending
1315 Julio Rodriguez SEA SEA @ SD Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1316 Ketel Marte AZ ARI @ COL Runs 1.5 2.2 D 9.2 -5 Pending
1317 Kyle Karros COL COL @ ARI Runs 1.5 2.2 D 9.2 -5 Pending
1318 Leody Taveras BAL BAL @ WSH Runs 1.5 2.2 D 9.2 -5 Pending
1319 Lourdes Gurriel Jr. AZ ARI @ COL Runs 1.5 2.2 D 9.2 -5 Pending
1320 Lourdes Gurriel Jr. AZ ARI @ COL Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1321 Luke Keaschall MIN MIN @ MIL Hits 1.5 2.2 D 9.2 -5 Pending
1322 Luke Keaschall MIN MIN @ MIL Runs 1.5 2.2 D 9.2 -5 Pending
1323 Luke Keaschall MIN MIN @ MIL Total Bases 1.5 2.2 D 9.2 -5 Pending
1324 Maikel Garcia KC KC @ STL Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1325 Masyn Winn STL STL @ KC Runs 1.5 2.2 D 9.2 -5 Pending
Showing 1301–1325 of 1484 picks
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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.