📡 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 4 – Sep 17 →
Wins
14
Losses
22
Push
3
Win %
38.9%
Pending
0
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 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
vs DET NFL
PASS YDS 250.5 OVER
16.6 D
  • Projected edge vs line
Raw
57
Clean
-0.2
Fit
-5
2
vs DET NFL
REC YDS 12.5 OVER
16.4 D
  • Projected edge vs line
Raw
58
Clean
-0.8
Fit
-5
3
vs DET NFL
PASS YDS 274.5 OVER
15.9 D
  • Projected edge vs line
Raw
56
Clean
-0.1
Fit
-5
4
vs DET NFL
REC YDS 46.5 OVER
14.8 D
  • Projected edge vs line
Raw
56
Clean
-1.5
Fit
-5

📋 Full Board (36 picks · Page 2/2)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
26 Jared Goff — Interceptions 0.5 0 D -4.6 -5 Pending
27 Josh Allen — PASS TDS 1.5 0 D -4.4 -5 Pending
28 Joshua Palmer — REC YDS 14.5 0 D -4.1 -5 Pending
29 Josh Allen — Interceptions 0.5 0 D -4.6 -5 Pending
30 DJ Moore — REC YDS 59.5 0 D -3.1 -5 Pending
31 Jahmyr Gibbs — RUSH YDS 94.5 0 D -3.6 -5 Pending
32 Jahmyr Gibbs — RUSH ATT 19.5 0 D -2.3 -5 Pending
33 Jared Goff — PASS ATT 35.5 0 D -4.6 -5 Pending
34 Jared Goff — PASS CMP 24.5 0 D -4.6 -5 Pending
35 Josh Allen — PASS ATT 30.5 0 D -4.6 -5 Pending
36 Josh Allen — PASS CMP 21.5 0 D -4.6 -5 Pending
Showing 26–36 of 36 picks
← Prev 1 2 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.