📡 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 7 – May 13 →
Wins
14
Losses
25
Push
3
Win %
35.9%
Pending
0
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
Points 19.5 OVER
78.1 B+
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
27.8
Fit
4
2
Rebounds 5.5 OVER
73 B
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
29.6
Fit
5
3
Points 12.5 OVER
72.1 B
  • Stable player role
Raw
69
Clean
26.9
Fit
4
4
Rebounds 7.5 OVER
70.4 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
27.4
Fit
5

📋 Full Board (1474 picks · Page 53/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1301 Carter Jensen KC KC @ CWS Hits 1.5 2.2 D 9.2 -5 Pending
1302 Carter Jensen KC KC @ CWS Runs 1.5 2.2 D 9.2 -5 Pending
1303 Casey Schmitt SF SF @ LAD Runs 1.5 2.2 D 9.2 -5 Pending
1304 Cedric Mullins TB TB @ TOR Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1305 Chandler Simpson TB TB @ TOR Runs 1.5 2.2 D 9.2 -5 Pending
1306 Colby Thomas OAK STL @ OAK Runs 1.5 2.2 D 9.2 -5 Pending
1307 Colby Thomas OAK STL @ OAK Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1308 Corbin Carroll AZ ARI @ TEX Runs 1.5 2.2 D 9.2 -5 Pending
1309 Darell Hernaiz OAK STL @ OAK Runs 1.5 2.2 D 9.2 -5 Pending
1310 Freddie Freeman LAD LAD @ SF Runs 1.5 2.2 D 9.2 -5 Pending
1311 Freddie Freeman LAD LAD @ SF Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1312 Garrett Mitchell MIL MIL @ SD Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1313 Geraldo Perdomo AZ ARI @ TEX Runs 1.5 2.2 D 9.2 -5 Pending
1314 Gunnar Henderson BAL NYY @ BAL Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1315 Harrison Bader SF SF @ LAD Hits 1.5 2.2 D 9.2 -5 Pending
1316 Harrison Bader SF SF @ LAD Total Bases 1.5 2.2 D 9.2 -5 Pending
1317 Isaac Collins KC KC @ CWS Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1318 Jeff McNeil OAK STL @ OAK Hits 1.5 2.2 D 9.2 -5 Pending
1319 Jeff McNeil OAK STL @ OAK Total Bases 1.5 2.2 D 9.2 -5 Pending
1320 JJ Wetherholt STL STL @ OAK Runs 1.5 2.2 D 9.2 -5 Pending
1321 Jung Hoo Lee SF SF @ LAD Runs 1.5 2.2 D 9.2 -5 Pending
1322 Kazuma Okamoto TOR TOR @ TB Runs 1.5 2.2 D 9.2 -5 Pending
1323 Kyle Tucker LAD LAD @ SF Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1324 Leody Taveras BAL NYY @ BAL Runs 1.5 2.2 D 9.2 -5 Pending
1325 Lourdes Gurriel Jr. AZ ARI @ TEX Runs 1.5 2.2 D 9.2 -5 Pending
Showing 1301–1325 of 1474 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.