📡 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 28 – Aug 10 →
Wins
20
Losses
22
Push
42
Win %
47.6%
Pending
0
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 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
TORONTO TEMPO @ ATL WNBA
Rebounds 3.5 OVER
64.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
22.9
Fit
5
2
CHI @ SEA WNBA
Points 14.5 OVER
62.3 C+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
21.7
Fit
4
3
CHI @ SEA WNBA
Rebounds 7.5 OVER
61.2 C+
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
22
Fit
5
4
TORONTO TEMPO @ ATL WNBA
Assists 8.5 OVER
60.5 C+
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
22.7
Fit
5

📋 Full Board (1009 picks · Page 18/41)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
426 Shohei Ohtani LAD KC @ LAD Total Bases 2.5 5.8 D 9.2 -5 Pending
427 Starling Marte KC KC @ LAD Home Runs 0.5 5.8 D 9.2 -5 Pending
428 Teoscar Hernandez LAD KC @ LAD Hits 0.5 5.8 D 9.2 -5 Pending
429 Tim Tawa AZ COL @ ARI Home Runs 0.5 5.8 D 9.2 -5 Pending
430 Travis d'Arnaud LAA TEX @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
431 Travis d'Arnaud LAA TEX @ LAA Total Bases 1.5 5.8 D 9.2 -5 Pending
432 Trea Turner PHI PHI @ STL Home Runs 0.5 5.8 D 9.2 -5 Pending
433 Ty France SD MIL @ SD Total Bases 1.5 5.8 D 9.2 -5 Pending
434 Vladimir Guerrero Jr. TOR BOS @ TOR Home Runs 0.5 5.8 D 9.2 -5 Pending
435 Willi Castro COL COL @ ARI Home Runs 0.5 5.8 D 9.2 -5 Pending
436 William Contreras MIL MIL @ SD Home Runs 0.5 5.8 D 9.2 -5 Pending
437 Willy Adames SF HOU @ SF Home Runs 0.5 5.8 D 9.2 -5 Pending
438 Willy Adames SF HOU @ SF Runs Batted In 0.5 5.8 D 9.2 -5 Pending
439 Zach Neto LAA TEX @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
440 Bo Bichette NYM NYM @ ATL Runs Batted In 1.5 5.5 D 9.2 -5 Pending
441 Bobby Witt Jr. KC KC @ LAD Hits 1.5 5.5 D 9.2 -5 Pending
442 Brandon Marsh PHI PHI @ STL Total Bases 1.5 5.5 D 9.2 -5 Pending
443 Carter Jensen KC KC @ LAD Total Bases 1.5 5.5 D 9.2 -5 Pending
444 Christian Yelich MIL MIL @ SD Total Bases 1.5 5.5 D 9.2 -5 Pending
445 Corey Seager TEX TEX @ LAA Hits 1.5 5.5 D 9.2 -5 Pending
446 Daulton Varsho HOU HOU @ SF Total Bases 1.5 5.5 D 9.2 -5 Pending
447 Drew Gilbert SF HOU @ SF Total Bases 1.5 5.5 D 9.2 -5 Pending
448 Ezequiel Duran TEX TEX @ LAA Runs Batted In 1.5 5.5 D 9.2 -5 Pending
449 Ezequiel Tovar COL COL @ ARI Total Bases 1.5 5.5 D 9.2 -5 Pending
450 Fernando Tatis Jr. SD MIL @ SD Runs Batted In 1.5 5.5 D 9.2 -5 Pending
Showing 426–450 of 1009 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.