📡 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 3 →
Wins
3
Losses
3
Win %
50%
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
18
Total Bases 1.5 OVER
55.3 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
70
Clean
20.4
Fit
0
19
Hits 1.5 OVER
55.1 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
69
Clean
20.5
Fit
0
22
Hits 0.5 OVER
52.6 C
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
23.2
Fit
0
24
Runs Batted In 0.5 OVER
51.9 C
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
64
Clean
19.9
Fit
0

📋 Full Board (1378 picks · Page 12/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
320 Carlos Correa HOU BOS @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
321 Isaac Paredes HOU BOS @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
322 Yordan Alvarez HOU BOS @ HOU Home Runs 0.5 17.1 D 9.2 -5 Pending
323 Xavier Edwards MIA MIA @ PHI Runs 1.5 17.1 D 10.3 -5 Pending
324 Austin Riley ATL ATL @ LAD@STL Runs Batted In 1.5 17 D 9.2 -5 Pending
325 Andy Pages LAD STL @ LAD Total Bases 1.5 17 D 12.2 -5 Pending
326 Christopher Morel MIA MIA @ PHI Hits 1.5 17 D 9.2 -5 Pending
327 Ryan O'Hearn PIT CIN @ PIT Runs 1.5 17 D 9.4 -5 Pending
328 Alex Freeland LAD STL @ LAD Home Runs 0.5 17 D 9.2 -5 Pending
329 Andy Pages LAD STL @ LAD Home Runs 0.5 17 D 9.2 -5 Pending
330 Dalton Rushing LAD STL @ LAD Home Runs 0.5 17 D 9.2 -5 Pending
331 Freddie Freeman LAD STL @ LAD Home Runs 0.5 17 D 9.2 -5 Pending
332 Hyeseong Kim LAD STL @ LAD Home Runs 0.5 17 D 9.2 -5 Pending
333 Kyle Tucker LAD STL @ LAD Home Runs 0.5 17 D 9.2 -5 Pending
334 Max Muncy LAD STL @ LAD Home Runs 0.5 17 D 9.2 -5 Pending
335 Teoscar Hernandez LAD STL @ LAD Home Runs 0.5 17 D 9.2 -5 Pending
336 Teoscar Hernandez LAD STL @ LAD Runs 0.5 16.9 D 9.2 -5 Pending
338 Bo Bichette NYM NYM @ LAA Runs Batted In 1.5 16.9 D 9.2 -5 Pending
339 Juan Soto NYM NYM @ LAA Runs Batted In 1.5 16.9 D 9.2 -5 Pending
340 Marcus Semien NYM NYM @ LAA Runs Batted In 1.5 16.9 D 9.2 -5 Pending
341 Joey Bart PIT CIN @ PIT Total Bases 1.5 16.8 D 9.8 -5 Pending
342 Jarren Duran BOS BOS @ HOU Hits 1.5 16.7 D 9.2 -5 Pending
343 Kyle Stowers MIA MIA @ PHI Total Bases 1.5 16.7 D 9.2 -5 Pending
344 Marcell Ozuna PIT CIN @ PIT Total Bases 1.5 16.7 D 9.2 -5 Pending
345 Javier Sanoja MIA MIA @ PHI Hits 1.5 16.7 D 9.2 -5 Pending
Showing 276–300 of 1378 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.