📡 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 |
← Apr 1 – Apr 30 →
Wins
41
Losses
59
Push
6
Win %
41%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
Mon 11/2 Sun 11/1 Sat 10/31 Fri 10/30 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
OG Anunoby
NYK ATL @ NYK NBA
Rebounds 7.5 OVER
81 B+
  • Heavy minutes projection
  • Stable player role
Raw
75
Clean
28.1
Fit
5
2
Nikola Jokic
DEN DEN @ MIN NBA
Rebounds 14.5 OVER
76.5 B+
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
30
Fit
5
3
Jamal Murray
DEN DEN @ MIN NBA
Rebounds 5.5 OVER
70.8 B
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
30
Fit
5
4
OG Anunoby
NYK ATL @ NYK NBA
Points 17.5 OVER
70.2 B
  • Heavy minutes projection
  • Stable player role
Raw
65
Clean
27.2
Fit
4

📋 Full Board (1766 picks · Page 5/71)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
101 Spencer Torkelson DET ATL @ DET Total Bases 2.5 37 D 17.9 0 Pending
102 Paul George PHI BOS @ PHI Rebounds 6.5 36.9 D 13.5 5 Pending
103 Jung Hoo Lee SF SF @ PHI Total Bases 1.5 36.9 D 18.1 0 Pending
104 Ronald Acuna Jr. ATL ATL @ DET Total Bases 1.5 36.6 D 17.8 0 Pending
105 Ozzie Albies ATL ATL @ DET Runs Batted In 0.5 36.6 D 17.8 0 Pending
106 Ronald Acuna Jr. ATL ATL @ DET Runs 0.5 36 D 17.6 0 Pending
107 Matt Olson ATL ATL @ DET Runs Batted In 0.5 35.8 D 17.4 0 Pending
108 Brandon Marsh PHI PHI @ SF Runs Batted In 0.5 35.1 D 17.4 0 Pending
109 Tyler Black MIL MIL @ ARI Total Bases 1.5 35 D 18.2 0 Pending
110 Adolis Garcia PHI PHI @ SF Runs Batted In 0.5 35 D 17.6 0 Pending
111 Alec Bohm PHI PHI @ SF Hits 0.5 35 D 17.6 0 Pending
112 Brandon Marsh PHI PHI @ SF Runs 0.5 35 D 17.6 0 Pending
113 Spencer Torkelson DET ATL @ DET Runs 0.5 35 D 17.6 0 Pending
114 Trea Turner PHI PHI @ SF Runs 0.5 35 D 17.6 0 Pending
115 Bryce Harper PHI PHI @ SF Runs Batted In 0.5 34.8 D 17.2 0 Pending
116 Derrick White BOS BOS @ PHI 3-Pointers Made 3.5 34.5 D 16.7 0 Pending
117 Trea Turner PHI PHI @ SF Total Bases 1.5 34.5 D 18.2 0 Pending
118 OG Anunoby NYK ATL @ NYK 3-Pointers Made 3.5 34.4 D 18.9 0 Pending
119 Alec Burleson STL PIT @ STL Total Bases 1.5 34.2 D 17.8 0 Pending
120 Drew Gilbert SF SF @ PHI Hits 0.5 33.3 D 17.6 0 Pending
121 Kevin McGonigle DET ATL @ DET Total Bases 1.5 33.3 D 17.4 0 Pending
122 Brandon Marsh PHI PHI @ SF Total Bases 1.5 33.2 D 17.2 0 Pending
123 Salvador Perez KC KC @ OAK Total Bases 1.5 32.5 D 17.6 0 Pending
124 VJ Edgecombe PHI BOS @ PHI 3-Pointers Made 3.5 32.4 D 14.6 0 Pending
125 Kerry Carpenter DET ATL @ DET Total Bases 1.5 32.2 D 17.2 0 Pending
Showing 101–125 of 1766 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.