📡 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 11 – Oct 10
Wins
50
Losses
76
Push
3
Win %
39.7%
Pending
6
Sat 10/10 Fri 10/9 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Runs Batted In 1.5 OVER
46 D
  • Heavy minutes projection
  • Stable player role
Raw
50
Clean
21.3
Fit
0
2
Runs Batted In 1.5 OVER
43.4 D
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
20
Fit
0
3
Total Bases 1.5 OVER
39.4 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
41
Clean
18.9
Fit
0
4
Total Bases 1.5 OVER
39.1 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
40
Clean
18.8
Fit
0

📋 Full Board (92 picks · Page 3/4)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
51 Miguel Vargas CWS CWS @ CLE Runs Batted In 1.5 5.1 D 10.3 -5 Pending
52 Miguel Vargas CWS CWS @ CLE Total Bases 1.5 5.1 D 10.3 -5 Pending
53 Angel Martinez CLE CWS @ CLE Home Runs 0.5 4.9 D 9.2 -5 Pending
54 Brayan Rocchio CLE CWS @ CLE Home Runs 0.5 4.9 D 9.2 -5 Pending
55 Chase DeLauter CLE CWS @ CLE Home Runs 0.5 4.9 D 9.2 -5 Pending
56 Jo Adell CLE CWS @ CLE Home Runs 0.5 4.9 D 9.2 -5 Pending
57 Nathaniel Lowe CLE CWS @ CLE Home Runs 0.5 4.9 D 9.2 -5 Pending
58 Steven Kwan CLE CWS @ CLE Home Runs 0.5 4.9 D 9.2 -5 Pending
59 Travis Bazzana CLE CWS @ CLE Home Runs 0.5 4.9 D 9.2 -5 Pending
60 Braden Montgomery CWS CWS @ CLE Runs Batted In 1.5 4.5 D 9.2 -5 Pending
61 Chase DeLauter CLE CWS @ CLE Runs 1.5 3.9 D 9.2 -5 Pending
62 Brayan Rocchio CLE CWS @ CLE Runs Batted In 1.5 3.6 D 9.2 -5 Pending
63 Nathaniel Lowe CLE CWS @ CLE Runs 1.5 3.6 D 9.2 -5 Pending
64 Nathaniel Lowe CLE CWS @ CLE Runs Batted In 1.5 3.6 D 9.2 -5 Pending
65 Steven Kwan CLE CWS @ CLE Runs Batted In 1.5 3.6 D 9.2 -5 Pending
66 Andrew Benintendi CWS CWS @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
67 Angel Martinez CLE CWS @ CLE Hits 1.5 3.2 D 9.2 -5 Pending
68 Angel Martinez CLE CWS @ CLE Runs Batted In 1.5 3.2 D 9.2 -5 Pending
69 Angel Martinez CLE CWS @ CLE Total Bases 1.5 3.2 D 9.2 -5 Pending
70 Braden Montgomery CWS CWS @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
71 Chase Meidroth CWS CWS @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
72 Colson Montgomery CWS CWS @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
73 Jo Adell CLE CWS @ CLE Runs 1.5 3.2 D 9.2 -5 Pending
74 Kyle Teel CWS CWS @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
75 Munetaka Murakami CWS CWS @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 51–75 of 92 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.