📡 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 9 – Aug 7 →
Wins
81
Losses
61
Push
37
Win %
57%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Alyssa Thomas
PHX @ CON WNBA
Assists 8.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
28.4
Fit
5
2
Alyssa Thomas
PHX @ CON WNBA
Rebounds 8.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
27.9
Fit
5
3
Alyssa Thomas
PHX @ CON WNBA
Points 15.5 OVER
67.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
28
Fit
4
4
DeWanna Bonner
PHX @ CON WNBA
Points 10.5 OVER
67.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
21.8
Fit
4

📋 Full Board (1474 picks · Page 44/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1076 Jared Triolo PIT NYM @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1077 Jared Young NYM NYM @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1078 Javier Baez DET DET @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1079 Jhostynxon Garcia PIT NYM @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1080 JJ Wetherholt STL COL @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1081 Jo Adell CLE CLE @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1082 Jo Adell CLE CLE @ CWS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1083 Joc Pederson TEX BAL @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1084 Joey Ortiz MIL MIN @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1085 Jonah Heim OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1086 Jonathan Aranda TB TB @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1087 Jonathan Ornelas OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1088 Jonathan Ornelas OAK OAK @ ATHLETICS@ Runs 0.5 3.2 D 9.2 -5 Pending
1089 Jorbit Vivas WSH CIN @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1090 Jorbit Vivas WSH CIN @ WSH Runs 0.5 3.2 D 9.2 -5 Pending
1091 Jorbit Vivas WSH CIN @ WSH Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1092 Jordan Beck COL COL @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1093 Jordan Walker STL COL @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1094 Jose Ramirez CLE CLE @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1095 Jose Ramirez CLE CLE @ CWS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1096 Jose Tena WSH CIN @ WSH Hits 0.5 3.2 D 9.2 -5 Pending
1097 Jose Tena WSH CIN @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
1098 Jose Tena WSH CIN @ WSH Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1099 Josh Lowe LAA LAA @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1100 Josh Naylor SEA TB @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1076–1100 of 1474 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.