📡 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 15 →
Wins
1
Losses
5
Win %
16.7%
Pending
0
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 Tue 10/20
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
14
Total Bases 1.5 OVER
56 C
  • Heavy minutes projection
  • Stable player role
Raw
68
Clean
22.3
Fit
0
15
Hits 1.5 OVER
55.1 C
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
22.1
Fit
0
18
Hits 0.5 OVER
54.5 C
  • Heavy minutes projection
  • Stable player role
Raw
67
Clean
21.2
Fit
0
21
Total Bases 1.5 OVER
52.4 C
  • Heavy minutes projection
  • Stable player role
Raw
64
Clean
20.5
Fit
0

📋 Full Board (1405 picks · Page 55/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1412 Corbin Carroll AZ ARI @ COL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1413 Dansby Swanson CHC CHC @ CWS Runs 1.5 1.6 D 9.2 -5 Pending
1414 Dansby Swanson CHC CHC @ CWS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1415 Edouard Julien COL COL @ ARI Runs 1.5 1.6 D 9.2 -5 Pending
1416 Edouard Julien COL COL @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1417 Gabriel Moreno AZ ARI @ COL Runs 1.5 1.6 D 9.2 -5 Pending
1418 Gabriel Moreno AZ ARI @ COL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1419 Gunnar Henderson BAL BAL @ WSH Runs 1.5 1.6 D 9.2 -5 Pending
1420 Ha-Seong Kim ATL ATL @ BOS Runs 1.5 1.6 D 9.2 -5 Pending
1421 Ha-Seong Kim ATL ATL @ BOS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1422 Harrison Bader SF SF @ OAK Runs 1.5 1.6 D 9.2 -5 Pending
1423 Harrison Bader SF SF @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1424 Jac Caglianone KC KC @ STL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1425 Jeff McNeil OAK SF @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1426 Jeremiah Jackson BAL BAL @ WSH Runs 1.5 1.6 D 9.2 -5 Pending
1427 Jeremiah Jackson BAL BAL @ WSH Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1428 Jesus Rodriguez SF SF @ OAK Runs 1.5 1.6 D 9.2 -5 Pending
1429 Jorge Soler LAA LAA @ LAD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1430 Jose Azocar ATL ATL @ BOS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1431 Jose Fernandez AZ ARI @ COL Runs 1.5 1.6 D 9.2 -5 Pending
1432 Jose Fernandez AZ ARI @ COL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1433 Josh Naylor SEA SEA @ SD Runs 1.5 1.6 D 9.2 -5 Pending
1434 Josh Naylor SEA SEA @ SD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1435 Kevin McGonigle DET TOR @ DET Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1436 Lawrence Butler OAK SF @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
Showing 1351–1375 of 1405 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.