📡 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 |
← Sep 21 – Sep 27 →
Wins
14
Losses
19
Push
1
Win %
42.4%
Pending
2
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25 Thu 9/24
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Bo Davidson
SF LAD @ SF MLB
Hits 0.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.2
Fit
0
2
Seiya Suzuki
CHC CHC @ BOS MLB
Hits 0.5 OVER
47.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
21.4
Fit
0
3
Christian Walker
HOU HOU @ OAK MLB
Hits 0.5 OVER
46.7 D
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
21.2
Fit
0
4
Chase Meidroth
CWS COL @ CWS MLB
Hits 0.5 OVER
46.6 D
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
20.7
Fit
0

📋 Full Board (858 picks · Page 1/35)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1 Bo Davidson SF LAD @ SF Hits 0.5 48.4 D 21.2 0 Pending
2 Seiya Suzuki CHC CHC @ BOS Hits 0.5 47.7 D 21.4 0 Pending
3 Christian Walker HOU HOU @ OAK Hits 0.5 46.7 D 21.2 0 Pending
4 Chase Meidroth CWS COL @ CWS Hits 0.5 46.6 D 20.7 0 Pending
5 Sam Antonacci CWS COL @ CWS Hits 0.5 46.6 D 20.7 0 Pending
6 Michael Soroka ARI ARI @ SD Strikeouts 4.5 46.1 D 20.7 0 Pending
7 Gabriel Moreno ARI ARI @ SD Runs Batted In 0.5 45.1 D 20.2 0 Pending
8 Nolan Arenado ARI ARI @ SD Runs Batted In 0.5 45.1 D 20.2 0 Pending
9 Nolan Arenado ARI ARI @ SD Hits 0.5 44.8 D 19.9 0 Pending
10 Jac Caglianone KC CLE @ KC Hits 1.5 44.4 D 21.3 0 Pending
11 Nick Sogard BOS CHC @ BOS Hits 0.5 42.2 D 19.5 0 Pending
12 Roman Anthony BOS CHC @ BOS Hits 0.5 41.7 D 19.4 0 Pending
13 Tommy Edman LAD LAD @ SF Runs Batted In 0.5 41.7 D 19.4 0 Pending
14 Alika Williams OAK HOU @ OAK Hits 0.5 41.5 D 19.8 0 Pending
15 Colton Cowser BAL BAL @ NYY Hits 0.5 41.5 D 19.8 0 Pending
16 Zack Gelof OAK HOU @ OAK Hits 0.5 41.5 D 19.8 0 Pending
17 Adael Amador COL COL @ CWS Hits 0.5 41.5 D 20.2 0 Pending
18 Corbin Carroll ARI ARI @ SD Hits 0.5 41.5 D 20.2 0 Pending
19 David Fry CLE CLE @ KC Hits 0.5 41.5 D 20.2 0 Pending
20 Isaac Paredes HOU HOU @ OAK Runs Batted In 0.5 41.5 D 20.2 0 Pending
21 Adley Rutschman BOS CHC @ BOS Hits 0.5 41 D 18.8 0 Pending
22 Braden Montgomery CWS COL @ CWS Hits 0.5 41 D 19.4 0 Pending
23 Fernando Tatis Jr. SD ARI @ SD Hits 0.5 41 D 19.4 0 Pending
24 Ethan Salas SD ARI @ SD Hits 0.5 40.5 D 19.5 0 Pending
25 Hunter Goodman COL COL @ CWS Hits 0.5 40.5 D 19.5 0 Pending
Showing 1–25 of 858 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 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.