📡 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 |
← Jun 19 – Jul 18 →
Wins
64
Losses
52
Push
28
Win %
55.2%
Pending
0
Sun 10/18 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
POR @ MIN WNBA
Points 17.5 OVER
79.1 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.6
Fit
4
2
NY @ IND WNBA
Points 20.5 OVER
73.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
28.2
Fit
4
3
NY @ IND WNBA
Rebounds 7.5 OVER
69.9 B
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
28.6
Fit
5
4
NY @ IND WNBA
Points 16.5 OVER
68.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
22.9
Fit
4

📋 Full Board (1508 picks · Page 44/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1076 Bo Bichette NYM NYM @ PHI Runs 0.5 3.2 D 9.2 -5 Pending
1077 Bobby Witt Jr. KC SD @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1078 Bobby Witt Jr. KC SD @ KC Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1079 Brandon Lowe PIT PIT @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1080 Brandon Marsh PHI NYM @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1081 Brandon Marsh PHI NYM @ PHI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1082 Brooks Lee MIN MIN @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1083 Bryan Torres STL STL @ ARI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1084 Bryce Harper PHI NYM @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1085 Bryce Harper PHI NYM @ PHI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1086 Bryson Stott PHI NYM @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1087 Cal Raleigh SEA SF @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1088 Cal Raleigh SEA SF @ SEA Runs 0.5 3.2 D 9.2 -5 Pending
1089 Carlos Cortes OAK WSH @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1090 Carlos Cortes OAK WSH @ OAK Runs 0.5 3.2 D 9.2 -5 Pending
1091 Carson Benge NYM NYM @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1092 Carter Jensen KC SD @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1093 Carter Jensen KC SD @ KC Runs 0.5 3.2 D 9.2 -5 Pending
1094 Ceddanne Rafaela BOS TB @ BOS Home Runs 0.5 3.2 D 9.2 -5 Pending
1095 Ceddanne Rafaela BOS TB @ BOS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1096 Chandler Simpson TB TB @ BOS Home Runs 0.5 3.2 D 9.2 -5 Pending
1097 Chase Meidroth CWS CWS @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1098 Christian Walker HOU BAL @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1099 CJ Abrams WSH WSH @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1100 Cody Bellinger NYY LAD @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1076–1100 of 1508 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.