📡 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 13 →
Wins
2
Losses
3
Push
1
Win %
40%
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
14
Total Bases 1.5 OVER
54.4 C
  • Heavy minutes projection
  • Stable player role
Raw
68
Clean
20.3
Fit
0
16
Home Runs 0.5 OVER
50.3 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
62
Clean
19.4
Fit
0
18
Total Bases 1.5 OVER
48.8 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
60
Clean
18.8
Fit
0
19
Total Bases 1.5 OVER
48.5 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
59
Clean
18.9
Fit
0

📋 Full Board (1415 picks · Page 56/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1413 Will Smith LAD LAD @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1414 William Contreras MIL MIL @ SD Runs 1.5 1.9 D 9.2 -5 Pending
1415 Yandy Diaz TB TB @ TOR Runs 1.5 1.9 D 9.2 -5 Pending
1416 Yohendrick Pinango TOR TOR @ TB Runs 1.5 1.9 D 9.2 -5 Pending
1417 Yohendrick Pinango TOR TOR @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1418 Moisés Ballesteros CHC CHC @ ATL Hits 1.5 1.8 D 9.2 -5 Pending
1419 Adrian Del Castillo AZ ARI @ TEX Runs 1.5 1.6 D 9.2 -5 Pending
1420 Blaze Alexander BAL NYY @ BAL Runs 1.5 1.6 D 9.2 -5 Pending
1421 Carson Kelly CHC CHC @ ATL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1422 Christian Yelich MIL MIL @ SD Runs 1.5 1.6 D 9.2 -5 Pending
1423 Coby Mayo BAL NYY @ BAL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1424 Dalton Rushing LAD LAD @ SF Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1425 Daulton Varsho TOR TOR @ TB Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1426 David Hamilton MIL MIL @ SD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1427 George Springer TOR TOR @ TB Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1428 Geraldo Perdomo AZ ARI @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1429 Gunnar Henderson BAL NYY @ BAL Runs 1.5 1.6 D 9.2 -5 Pending
1430 Harrison Bader SF SF @ LAD Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1431 Jeff McNeil OAK STL @ OAK Runs 1.5 1.6 D 9.2 -5 Pending
1432 Jeff McNeil OAK STL @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1433 Lane Thomas KC KC @ CWS Hits 1.5 1.6 D 9.2 -5 Pending
1434 Lane Thomas KC KC @ CWS Runs 1.5 1.6 D 9.2 -5 Pending
1435 Lane Thomas KC KC @ CWS Total Bases 1.5 1.6 D 9.2 -5 Pending
1436 Lourdes Gurriel Jr. AZ ARI @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1437 Matt Chapman SF SF @ LAD Runs 1.5 1.6 D 9.2 -5 Pending
Showing 1376–1400 of 1415 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.