📡 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 |
← Jul 25 – Jul 31 →
Wins
21
Losses
18
Push
3
Win %
53.8%
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
1
DAL @ WSH WNBA
Points 14.5 OVER
78.7 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.5
Fit
4
2
DAL @ WSH WNBA
Rebounds 2.5 OVER
69.5 B
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
27.3
Fit
5
3
SEA @ ATL WNBA
Points 13.5 OVER
68.9 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
72
Clean
21.9
Fit
4
4
SEA @ ATL WNBA
Rebounds 5.5 OVER
67.5 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
22.4
Fit
5

📋 Full Board (1530 picks · Page 5/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
101 Bryce Harper PHI PHI @ BAL Total Bases 1.5 36.8 D 19 0 Pending
102 Nico Hoerner CHC NYY @ CHC Hits 1.5 36.8 D 19 0 Pending
103 Dominic Canzone SEA MIN @ SEA Total Bases 1.5 36.7 D 17.8 0 Pending
104 Munetaka Murakami CWS CWS @ TB Total Bases 1.5 36.7 D 17.9 0 Pending
105 Carla Leite IND @ POR Points 15.5 36.3 D 10.8 4 Pending
106 Heliot Ramos SF SF @ SD Hits 0.5 36.1 D 17.4 0 Pending
107 Randy Arozarena SEA MIN @ SEA Total Bases 1.5 36.1 D 18.1 0 Pending
108 Luis Lara MIL MIL @ LAA Runs Batted In 0.5 35.9 D 18.1 0 Pending
109 Kody Clemens MIN MIN @ SEA Total Bases 1.5 35.7 D 17.9 0 Pending
110 Dalton Rushing LAD BOS @ LAD Total Bases 1.5 35.4 D 19.2 0 Pending
111 Jung Hoo Lee SF SF @ SD Total Bases 1.5 35.4 D 18.1 0 Pending
112 Manny Machado SD SF @ SD Total Bases 1.5 35.4 D 18.1 0 Pending
113 Jonah Heim OAK DET @ OAK Total Bases 1.5 35.2 D 17.8 0 Pending
114 Azzi Fudd DAL @ WSH 3-Pointers Made 2.5 35.1 D 10.3 0 Pending
115 Mike Trout LAA MIL @ LAA Total Bases 1.5 35 D 18.2 0 Pending
116 Nico Hoerner CHC NYY @ CHC Total Bases 1.5 34.7 D 17.6 0 Pending
117 Michaela Onyenwere DAL @ WSH 3-Pointers Made 1.5 34.6 D 13 0 Pending
118 Coby Mayo BAL PHI @ BAL Runs 0.5 34.2 D 17.8 0 Pending
119 Corey Seager TEX TEX @ HOU Runs 0.5 34.2 D 17.8 0 Pending
120 Dylan Crews WSH WSH @ ATL Total Bases 1.5 34.2 D 17.8 0 Pending
121 J.T. Realmuto PHI PHI @ BAL Hits 0.5 34.2 D 17.8 0 Pending
122 Luis Arraez SF SF @ SD Runs Batted In 0.5 34.2 D 17.8 0 Pending
123 Luis Rengifo SD SF @ SD Hits 0.5 34.2 D 17.8 0 Pending
124 Pete Alonso BAL PHI @ BAL Hits 0.5 34.2 D 17.8 0 Pending
125 Vaughn Grissom LAA MIL @ LAA Total Bases 1.5 34.1 D 17.6 0 Pending
Showing 101–125 of 1530 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.