📡 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 25 – Jul 31 →
Wins
21
Losses
18
Push
3
Win %
53.8%
Pending
0
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 Sun 10/4
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
DAL @ WSH WNBA
Points 14.5 OVER
78.7 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.5
Fit
4
2
DAL @ WSH WNBA
Rebounds 2.5 OVER
69.5 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
27.3
Fit
5
3
SEA @ ATL WNBA
Points 13.5 OVER
68.9 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
72
Clean
21.9
Fit
4
4
SEA @ ATL WNBA
Rebounds 5.5 OVER
67.5 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.4
Fit
5

📋 Full Board (1530 picks · Page 17/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
401 Bryce Eldridge SF SF @ SD Runs 0.5 8.7 D 9.2 -5 Pending
402 Bryce Eldridge SF SF @ SD Runs Batted In 0.5 8.7 D 9.2 -5 Pending
403 Corey Seager TEX TEX @ HOU Hits 0.5 8.7 D 9.2 -5 Pending
404 Dominic Canzone SEA MIN @ SEA Home Runs 0.5 8.7 D 9.2 -5 Pending
405 Drew Cavanaugh SF SF @ SD Hits 0.5 8.7 D 9.2 -5 Pending
406 Dylan Beavers BAL PHI @ BAL Hits 0.5 8.7 D 9.2 -5 Pending
407 Eduardo Valencia DET DET @ OAK Home Runs 0.5 8.7 D 9.2 -5 Pending
408 Fernando Tatis Jr. SD SF @ SD Total Bases 1.5 8.7 D 9.2 -5 Pending
409 Geraldo Perdomo AZ ARI @ CLE Total Bases 1.5 8.7 D 9.2 -5 Pending
410 Gunnar Henderson BAL PHI @ BAL Runs 0.5 8.7 D 9.2 -5 Pending
411 Henry Davis PIT PIT @ CIN Hits 0.5 8.7 D 9.2 -5 Pending
412 Jeremy Pena HOU TEX @ HOU Home Runs 0.5 8.7 D 9.2 -5 Pending
413 Jorge Soler LAA MIL @ LAA Total Bases 1.5 8.7 D 9.2 -5 Pending
414 Leody Taveras BAL PHI @ BAL Runs 0.5 8.7 D 9.2 -5 Pending
415 Michael Conforto CHC NYY @ CHC Hits 0.5 8.7 D 9.2 -5 Pending
416 Michael Conforto CHC NYY @ CHC Runs 0.5 8.7 D 9.2 -5 Pending
417 Munetaka Murakami CWS CWS @ TB Home Runs 0.5 8.7 D 9.2 -5 Pending
418 Nathaniel Lowe CIN PIT @ CIN Runs Batted In 0.5 8.7 D 9.2 -5 Pending
419 Ryan O'Hearn PIT PIT @ CIN Total Bases 1.5 8.7 D 9.2 -5 Pending
420 Sam Antonacci CWS CWS @ TB Total Bases 1.5 8.7 D 9.2 -5 Pending
421 Spencer Torkelson DET DET @ OAK Total Bases 1.5 8.7 D 9.2 -5 Pending
422 Taylor Ward BAL PHI @ BAL Runs Batted In 0.5 8.7 D 9.2 -5 Pending
423 Teoscar Hernandez LAD BOS @ LAD Runs 0.5 8.7 D 9.2 -5 Pending
424 Tyler Tolbert KC KC @ COL Runs 0.5 8.7 D 9.2 -5 Pending
425 Tyler Tolbert KC KC @ COL Total Bases 1.5 8.7 D 9.2 -5 Pending
Showing 401–425 of 1530 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.