📡 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 24 →
Wins
57
Losses
62
Push
18
Win %
47.9%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Thu 10/15 Wed 10/14
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Donovan Walton
LAA BAL @ LAA MLB
Total Bases 1.5 OVER
52.1 C
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.3
Fit
0
2
Josh Bell
MIN LAD @ MIN MLB
Total Bases 1.5 OVER
49.2 D
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
21.4
Fit
0
3
Casey Schmitt
SF SF @ ATHLETICS@ MLB
Hits 1.5 OVER
48.8 D
  • Heavy minutes projection
  • Stable player role
Raw
54
Clean
22.1
Fit
0
4
Anthony Volpe
NYY NYY @ DET MLB
Total Bases 1.5 OVER
44.4 D
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
21.2
Fit
0

📋 Full Board (1339 picks · Page 4/54)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
76 Corbin Carroll AZ ARI @ STL Total Bases 1.5 32.1 D 17.6 0 Pending
77 Kyle Schwarber PHI PHI @ WSH Home Runs 0.5 31.9 D 17.2 0 Pending
78 Colson Montgomery CWS CLE @ CWS Total Bases 1.5 31.5 D 17.2 0 Pending
79 Ozzie Albies ATL ATL @ SD Total Bases 1.5 31.2 D 17.2 0 Pending
80 Ryan O'Hearn PIT SEA @ PIT Total Bases 1.5 31.2 D 17.2 0 Pending
81 Joey Bart ATL ATL @ SD Hits 0.5 30.9 D 17.2 0 Pending
82 Salvador Perez KC KC @ TB Total Bases 1.5 30.9 D 17.2 0 Pending
83 Kyle Stowers MIA TEX @ MIA Total Bases 1.5 30.7 D 17.2 0 Pending
84 Dylan Crews WSH PHI @ WSH Total Bases 1.5 30.5 D 17.2 0 Pending
85 John Rave KC KC @ TB Total Bases 1.5 30.5 D 17.2 0 Pending
86 Jonah Cox SF SF @ ATHLETICS@ Total Bases 1.5 30.5 D 17.2 0 Pending
87 Kyle Manzardo CLE CLE @ CWS Total Bases 1.5 30.5 D 17.2 0 Pending
88 Luis Arraez SF SF @ ATHLETICS@ Total Bases 1.5 30.5 D 17.2 0 Pending
89 Randy Arozarena SEA SEA @ PIT Total Bases 1.5 30.5 D 17.2 0 Pending
90 Ty France SD ATL @ SD Total Bases 1.5 30.3 D 17.2 0 Pending
91 Endy Rodriguez PIT SEA @ PIT Hits 0.5 30.2 D 17.2 0 Pending
92 Joey Bart ATL ATL @ SD Runs 0.5 30.2 D 17.2 0 Pending
93 Luis Arraez SF SF @ ATHLETICS@ Runs 0.5 30.2 D 17.2 0 Pending
94 Jacob Wilson OAK OAK @ LAD@MIN Total Bases 1.5 30 D 17.2 0 Pending
95 Keibert Ruiz WSH PHI @ WSH Total Bases 1.5 28.3 D 17.2 0 Pending
96 Luis Arraez SF SF @ ATHLETICS@ Runs Batted In 0.5 28 D 17.2 0 Pending
97 Joe Ryan MIN LAD @ MIN Strikeouts 6.5 25.8 D 14 -5 Pending
98 Gabriel Arias CLE CLE @ CWS Total Bases 1.5 24.1 D 13.9 -5 Pending
99 Josh Bell MIN LAD @ MIN Hits 1.5 24.1 D 13.9 -5 Pending
100 Nasim Nunez WSH PHI @ WSH Hits 1.5 24.1 D 13.9 -5 Pending
Showing 76–100 of 1339 picks
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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.