📡 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 |
← May 26 – Jun 8 →
Wins
31
Losses
40
Push
7
Win %
43.7%
Pending
0
Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19 Sun 10/18 Sat 10/17 Fri 10/16
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Rebounds 4.5 OVER
62.6 C+
  • Heavy minutes projection
  • Stable player role
Raw
41
Clean
26.8
Fit
5
2
Assists 6.5 OVER
59.8 C+
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
42
Clean
25.1
Fit
5
3
Points 27.5 OVER
55.9 C
  • Heavy minutes projection
  • Stable player role
Raw
37
Clean
27.1
Fit
4
4
Points 14.5 OVER
54.7 C
  • Heavy minutes projection
Raw
54
Clean
15.9
Fit
4

📋 Full Board (841 picks · Page 2/34)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
26 Josh Naylor SEA SEA @ BAL Total Bases 1.5 37.7 D 19.2 0 Pending
27 Matt McLain CIN CIN @ SD Total Bases 1.5 36.9 D 17.5 0 Pending
28 Coby Mayo BAL SEA @ BAL Total Bases 1.5 36.8 D 18.8 0 Pending
29 Adolis Garcia PHI PHI @ TOR Total Bases 1.5 36.6 D 18.6 0 Pending
30 Colton Cowser BAL SEA @ BAL Total Bases 1.5 36.6 D 18.6 0 Pending
31 Wade Meckler LAA HOU @ LAA Total Bases 1.5 36.6 D 18.6 0 Pending
32 Matt Chapman SF WSH @ SF Total Bases 1.5 34.1 D 17.2 0 Pending
33 Paul Goldschmidt NYY NYY @ CLE Total Bases 1.5 33.4 D 17.2 0 Pending
34 Denzer Guzman LAA HOU @ LAA Hits 0.5 33.3 D 17.6 0 Pending
35 Sal Frelick MIL MIL @ OAK Runs Batted In 0.5 33.3 D 17.6 0 Pending
36 Tyler Soderstrom OAK MIL @ OAK Hits 0.5 33.3 D 17.6 0 Pending
37 Tyler Soderstrom OAK MIL @ OAK Runs Batted In 0.5 33.3 D 17.6 0 Pending
38 Brice Turang MIL MIL @ OAK Total Bases 1.5 32.3 D 17.4 0 Pending
39 Adley Rutschman BAL SEA @ BAL Total Bases 1.5 32.2 D 17.2 0 Pending
40 Freddy Fermin SD CIN @ SD Total Bases 1.5 32.2 D 17.2 0 Pending
41 Spencer Steer CIN CIN @ SD Total Bases 1.5 32.2 D 17.2 0 Pending
42 Brent Rooker OAK MIL @ OAK Total Bases 1.5 32.1 D 17.6 0 Pending
43 Ernie Clement TOR PHI @ TOR Total Bases 1.5 31.2 D 17.2 0 Pending
44 Matt Chapman SF WSH @ SF Runs Batted In 1.5 31.2 D 17.2 0 Pending
45 Jalen Brunson NYK SAS @ NYK 3-Pointers Made 3.5 31.1 D 17.3 0 Pending
46 Dominic Canzone SEA SEA @ BAL Total Bases 1.5 30.9 D 17.2 0 Pending
47 Garrett Mitchell MIL MIL @ OAK Total Bases 1.5 30.9 D 17.2 0 Pending
48 Jose Ramirez CLE NYY @ CLE Total Bases 1.5 30.9 D 17.2 0 Pending
49 LaMonte Wade Jr. HOU HOU @ LAA Runs Batted In 0.5 30.9 D 17.2 0 Pending
50 Luis Garcia Jr. WSH WSH @ SF Total Bases 1.5 30.9 D 17.2 0 Pending
Showing 26–50 of 841 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.