📡 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 24 – Jul 30 →
Wins
22
Losses
16
Push
4
Win %
57.9%
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
NY @ LV WNBA
Points 18.5 OVER
72.6 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
68
Clean
28
Fit
4
2
MIN @ TORONT WNBA
Points 18.5 OVER
68.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
23
Fit
4
3
NY @ LV WNBA
Rebounds 3.5 OVER
67.2 B-
  • Heavy minutes projection
  • Stable player role
Raw
50
Clean
26.8
Fit
5
4
NY @ LV WNBA
Points 12.5 OVER
62.1 C+
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
22.6
Fit
4

📋 Full Board (1029 picks · Page 4/42)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
76 Pete Crow-Armstrong CHC CHC @ STL Total Bases 1.5 34.8 D 17.2 0 Pending
77 Alex Bregman CHC CHC @ STL Total Bases 1.5 34.4 D 17.2 0 Pending
78 Marina Mabrey MIN @ TORONT Points 21.5 34.3 D 10.4 4 Pending
79 Willy Adames SF SF @ SD Runs 0.5 34.2 D 17.8 0 Pending
80 Andruw Monasterio BOS BOS @ OAK Total Bases 1.5 34.1 D 17.6 0 Pending
81 Jung Hoo Lee SF SF @ SD Runs Batted In 0.5 33.9 D 17.4 0 Pending
82 Tyrone Taylor NYM MIA @ NYM Total Bases 1.5 33.8 D 17.4 0 Pending
83 Ryan Kreidler MIN KC @ MIN Total Bases 1.5 33.4 D 17.2 0 Pending
84 Bryan Torres STL CHC @ STL Runs Batted In 0.5 33.3 D 17.6 0 Pending
85 Esmerlyn Valdez PIT PIT @ CIN Hits 0.5 33.3 D 17.6 0 Pending
86 Jackson Merrill SD SF @ SD Runs 0.5 33.3 D 17.6 0 Pending
87 Luis Arraez SF SF @ SD Runs 0.5 33.3 D 17.6 0 Pending
88 Luis Campusano SD SF @ SD Hits 0.5 33.3 D 17.6 0 Pending
89 Luis Rengifo SD SF @ SD Hits 0.5 33.3 D 17.6 0 Pending
90 Julie Allemand MIN @ TORONT 3-Pointers Made 1.5 32.9 D 12.2 0 Pending
91 CJ Abrams WSH WSH @ ATL Total Bases 1.5 32.9 D 17.2 0 Pending
92 Ben Rice NYY NYY @ CWS Total Bases 1.5 32.8 D 17.2 0 Pending
93 Jake Cronenworth SD SF @ SD Hits 0.5 32.8 D 17.2 0 Pending
94 Manny Machado SD SF @ SD Runs Batted In 0.5 32.8 D 17.2 0 Pending
95 Tyrone Taylor NYM MIA @ NYM Hits 0.5 32.8 D 17.2 0 Pending
96 Tyrone Taylor NYM MIA @ NYM Runs 0.5 32.8 D 17.2 0 Pending
97 Ozzie Albies ATL WSH @ ATL Total Bases 1.5 32.5 D 17.9 0 Pending
98 Maria Conde MIN @ TORONT 3-Pointers Made 1.5 32 D 11.7 0 Pending
99 James Wood WSH WSH @ ATL Total Bases 1.5 31.5 D 17.2 0 Pending
100 Andy Pages LAD SEA @ LAD Total Bases 1.5 31.3 D 17.4 0 Pending
Showing 76–100 of 1029 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.