📡 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 |
← Aug 4 – Aug 10 →
Wins
0
Losses
0
Push
42
Win %
0%
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
13
Total Bases 1.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.1
Fit
0
19
Total Bases 1.5 OVER
44.4 D
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
20.4
Fit
0
20
Hits 1.5 OVER
44.3 D
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
20.9
Fit
0
21
Total Bases 1.5 OVER
44.3 D
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
20.1
Fit
0

📋 Full Board (943 picks · Page 1/38)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
13 Carson Benge NYM NYM @ ATL Total Bases 1.5 48.4 D 21.1 0 Pending
19 Ivan Herrera STL PHI @ STL Total Bases 1.5 44.4 D 20.4 0 Pending
20 Jake McCarthy COL COL @ ARI Hits 1.5 44.3 D 20.9 0 Pending
21 Fernando Tatis Jr. SD MIL @ SD Total Bases 1.5 44.3 D 20.1 0 Pending
23 Jordan Walker STL PHI @ STL Total Bases 1.5 42.9 D 20.5 0 Pending
24 Jake McCarthy COL COL @ ARI Total Bases 1.5 42.4 D 18.8 0 Pending
25 Masataka Yoshida BOS BOS @ TOR Total Bases 1.5 42.2 D 19.8 0 Pending
26 Willi Castro COL COL @ ARI Total Bases 1.5 41.8 D 19.8 0 Pending
28 Jackson Merrill SD MIL @ SD Total Bases 1.5 41.6 D 19.5 0 Pending
29 Brett Bateman TOR BOS @ TOR Runs 0.5 41.5 D 20.2 0 Pending
30 Francisco Alvarez NYM NYM @ ATL Hits 0.5 41.5 D 20.2 0 Pending
31 Hunter Feduccia LAD KC @ LAD Hits 0.5 41.5 D 20.2 0 Pending
32 Brandon Nimmo TEX TEX @ LAA Total Bases 1.5 40.5 D 19.9 0 Pending
33 Tyler Soderstrom OAK TB @ OAK Total Bases 1.5 40.3 D 20.1 0 Pending
34 Brett Bateman TOR BOS @ TOR Hits 0.5 40 D 19.4 0 Pending
35 Ernie Clement TOR BOS @ TOR Total Bases 1.5 40 D 19.4 0 Pending
36 Gabriel Moreno AZ COL @ ARI Total Bases 1.5 40 D 19.4 0 Pending
37 Kyle Tucker LAD KC @ LAD Total Bases 1.5 40 D 19.8 0 Pending
40 Coby Mayo BAL BAL @ MIN Hits 0.5 39.4 D 18.8 0 Pending
43 Andres Gimenez TOR BOS @ TOR Total Bases 1.5 37.9 D 19.1 0 Pending
44 Royce Lewis MIN BAL @ MIN Total Bases 1.5 37.7 D 19.2 0 Pending
45 Andy Pages LAD KC @ LAD Total Bases 1.5 36.8 D 19 0 Pending
46 Bryson Stott PHI PHI @ STL Total Bases 1.5 36.8 D 19 0 Pending
47 Jose Altuve HOU HOU @ SF Total Bases 1.5 36.1 D 18.5 0 Pending
48 Matt Olson ATL NYM @ ATL Total Bases 1.5 36.1 D 18.1 0 Pending
Showing 1–25 of 943 picks
← Prev 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 Next →

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.