📡 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 |
← Jul 30 →
Wins
2
Losses
4
Win %
33.3%
Pending
0
Sun 10/18 Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
20
Runs 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
21
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
26
SD SF @ SD MLB
Hits 0.5 OVER
47.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
21.4
Fit
0
27
Hits 0.5 OVER
46.6 D
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
20.7
Fit
0

📋 Full Board (943 picks · Page 15/38)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
417 Brett Baty NYM MIA @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
418 Brett Baty NYM MIA @ NYM Runs Batted In 0.5 5.8 D 9.2 -5 Pending
419 Brett Baty NYM MIA @ NYM Total Bases 1.5 5.8 D 9.2 -5 Pending
420 Bryan Reynolds PIT PIT @ CIN Home Runs 0.5 5.8 D 9.2 -5 Pending
421 Bryce Eldridge SF SF @ SD Hits 0.5 5.8 D 9.2 -5 Pending
422 Bryce Eldridge SF SF @ SD Home Runs 0.5 5.8 D 9.2 -5 Pending
423 Cal Raleigh SEA SEA @ LAD Home Runs 0.5 5.8 D 9.2 -5 Pending
424 Cal Raleigh SEA SEA @ LAD Total Bases 1.5 5.8 D 9.2 -5 Pending
425 Ceddanne Rafaela BOS BOS @ OAK Home Runs 0.5 5.8 D 9.2 -5 Pending
426 Cedric Mullins TB TEX @ TB Total Bases 1.5 5.8 D 9.2 -5 Pending
427 Christian Koss SF SF @ SD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
428 Connor Wong BOS BOS @ OAK Home Runs 0.5 5.8 D 9.2 -5 Pending
429 Drake Baldwin ATL WSH @ ATL Home Runs 0.5 5.8 D 9.2 -5 Pending
430 Elly De La Cruz CIN PIT @ CIN Home Runs 0.5 5.8 D 9.2 -5 Pending
431 Endy Rodriguez PIT PIT @ CIN Home Runs 0.5 5.8 D 9.2 -5 Pending
432 Esmerlyn Valdez PIT PIT @ CIN Home Runs 0.5 5.8 D 9.2 -5 Pending
433 Eugenio Suarez CIN PIT @ CIN Home Runs 0.5 5.8 D 9.2 -5 Pending
434 Eugenio Suarez CIN PIT @ CIN Total Bases 1.5 5.8 D 9.2 -5 Pending
435 Francisco Alvarez NYM MIA @ NYM Home Runs 0.5 5.8 D 9.2 -5 Pending
436 Freddy Fermin SD SF @ SD Runs 0.5 5.8 D 9.2 -5 Pending
437 Grant McCray SF SF @ SD Home Runs 0.5 5.8 D 9.2 -5 Pending
438 Ivan Herrera STL CHC @ STL Home Runs 0.5 5.8 D 9.2 -5 Pending
439 Jackson Merrill SD SF @ SD Home Runs 0.5 5.8 D 9.2 -5 Pending
440 Jake Cronenworth SD SF @ SD Runs Batted In 0.5 5.8 D 9.2 -5 Pending
441 Jasson Domínguez NYY NYY @ CWS Home Runs 0.5 5.8 D 9.2 -5 Pending
Showing 351–375 of 943 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.