📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Apr 29 →
Wins
5
Losses
11
Push
4
Win %
31.3%
Pending
0
Thu 11/5 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
5
Hits 0.5 OVER
61.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
82
Clean
21.1
Fit
0
7
Total Bases 1.5 OVER
58.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
19.4
Fit
0
9
Total Bases 1.5 OVER
56.6 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
74
Clean
19.6
Fit
0
11
Total Bases 1.5 OVER
54.6 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
70
Clean
19.6
Fit
0

📋 Full Board (1366 picks · Page 51/55)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1307 Kyle Manzardo CLE CLE @ TB Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1308 Kyle Stowers MIA MIA @ LAD Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1309 Luisangel Acuna CWS LAA @ CWS Hits 1.5 3.6 D 9.2 -5 Pending
1310 Luisangel Acuna CWS LAA @ CWS Total Bases 1.5 3.6 D 9.2 -5 Pending
1311 Miguel Vargas CWS LAA @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1312 Otto Lopez MIA MIA @ LAD Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1313 Owen Caissie MIA MIA @ LAD Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1314 Ramon Laureano SD CHC @ SD Runs 1.5 3.6 D 9.2 -5 Pending
1315 Brenton Doyle COL CIN @ COL Runs 1.5 3.5 D 9.2 -5 Pending
1316 Adam Frazier LAA LAA @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1317 Adrian Del Castillo AZ ARI @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1318 Alec Burleson STL STL @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1319 Austin Riley ATL ATL @ MIA@LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1320 Blake Perkins MIL MIL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1321 Bo Naylor CLE CLE @ TB Runs Batted In 1.5 3.2 D 9.2 -5 Pending
1322 Brandon Lockridge MIL MIL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1323 Brent Rooker OAK KC @ OAK Hits 0.5 3.2 D 9.2 -5 Pending
1324 Brent Rooker OAK KC @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1325 Brice Turang MIL MIL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1326 Brice Turang MIL MIL @ ARI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1327 Carson Kelly CHC CHC @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1328 Cedric Mullins TB TB @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1329 Chandler Simpson TB TB @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1330 Corbin Carroll AZ ARI @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1331 David Hamilton MIL MIL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1251–1275 of 1366 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.