📡 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 |
← Jun 30 – Jul 29 →
Wins
80
Losses
57
Push
18
Win %
58.4%
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
ATL @ DAL WNBA
Points 14.5 OVER
73 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
23.1
Fit
4
2
ATL @ DAL WNBA
Assists 8.5 OVER
70.7 B
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
28.4
Fit
5
3
GSV @ PHX WNBA
Rebounds 7.5 OVER
67.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
49
Clean
28.2
Fit
5
4
ATL @ DAL WNBA
Points 11.5 OVER
65.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
28.1
Fit
4

📋 Full Board (1449 picks · Page 18/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
426 Edouard Julien COL COL @ SD Runs 0.5 8.3 D 9.2 -5 Pending
427 Eugenio Suarez CIN CLE @ CIN Home Runs 0.5 8.3 D 9.2 -5 Pending
428 Ezequiel Duran TEX TEX @ TB Home Runs 0.5 8.3 D 9.2 -5 Pending
429 Ezequiel Tovar COL COL @ SD Runs 0.5 8.3 D 9.2 -5 Pending
430 Francisco Alvarez NYM ATL @ NYM Runs Batted In 0.5 8.3 D 9.2 -5 Pending
431 George Springer TOR TOR @ WSH Home Runs 0.5 8.3 D 9.2 -5 Pending
432 Heriberto Hernandez MIA PHI @ MIA Home Runs 0.5 8.3 D 9.2 -5 Pending
433 Isaac Collins KC KC @ MIN Total Bases 1.5 8.3 D 9.2 -5 Pending
434 Jackson Holliday BAL BAL @ DET Runs Batted In 0.5 8.3 D 9.2 -5 Pending
435 Jake Burger TEX TEX @ TB Home Runs 0.5 8.3 D 9.2 -5 Pending
436 Jake McCarthy COL COL @ SD Runs 0.5 8.3 D 9.2 -5 Pending
437 Jazz Chisholm Jr. NYY NYY @ CWS Runs Batted In 1.5 8.3 D 9.2 -5 Pending
438 JJ Bleday CIN CLE @ CIN Home Runs 0.5 8.3 D 9.2 -5 Pending
439 Jonah Heim OAK BOS @ OAK Total Bases 1.5 8.3 D 9.2 -5 Pending
440 Jung Hoo Lee SF MIL @ SF Runs 0.5 8.3 D 9.2 -5 Pending
441 Kazuma Okamoto TOR TOR @ WSH Home Runs 0.5 8.3 D 9.2 -5 Pending
442 Kyle Stowers MIA PHI @ MIA Home Runs 0.5 8.3 D 9.2 -5 Pending
443 Kyle Tucker LAD SEA @ LAD Home Runs 0.5 8.3 D 9.2 -5 Pending
444 Lars Nootbaar STL CHC @ STL Hits 0.5 8.3 D 9.2 -5 Pending
445 Lars Nootbaar STL CHC @ STL Runs 0.5 8.3 D 9.2 -5 Pending
446 Lawrence Butler OAK BOS @ OAK Runs Batted In 0.5 8.3 D 9.2 -5 Pending
447 Luis Robert Jr. NYM ATL @ NYM Hits 0.5 8.3 D 9.2 -5 Pending
448 Matt Olson ATL ATL @ NYM Total Bases 1.5 8.3 D 9.2 -5 Pending
449 Mauricio Dubon ATL ATL @ NYM Runs Batted In 0.5 8.3 D 9.2 -5 Pending
450 Max Muncy LAD SEA @ LAD Home Runs 0.5 8.3 D 9.2 -5 Pending
Showing 426–450 of 1449 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.