📡 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 |
← Aug 6 →
Wins
0
Losses
0
Push
6
Win %
0%
Pending
0
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
TORONTO TEMPO @ POR WNBA
Points 16.5 OVER
64.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
22.4
Fit
4
2
TORONTO TEMPO @ POR WNBA
Rebounds 3.5 OVER
63.5 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
20.9
Fit
5
3
LV @ IND WNBA
Points 12.5 OVER
61.8 C+
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
22.3
Fit
4
4
LA @ MIN WNBA
Assists 2.5 OVER
61.4 C+
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
22.1
Fit
5

📋 Full Board (1133 picks · Page 44/46)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1076 Jo Adell CLE NYM @ CLE Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1077 Jonah Heim OAK OAK @ ATHLETICS@ Runs 1.5 1.6 D 9.2 -5 Pending
1078 Jose Ramirez CLE NYM @ CLE Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1079 Josh Lowe LAA LAA @ BAL Runs 1.5 1.6 D 9.2 -5 Pending
1080 Josh Lowe LAA LAA @ BAL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1081 Josh Naylor SEA DET @ SEA Runs 1.5 1.6 D 9.2 -5 Pending
1082 Kody Clemens MIN MIN @ KC Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1083 Kyle Schwarber PHI WSH @ PHI Hits 1.5 1.6 D 9.2 -5 Pending
1084 Luis Campusano SD SD @ ARI Runs 1.5 1.6 D 9.2 -5 Pending
1085 Luis Rengifo SD SD @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1086 Luis Robert Jr. NYM NYM @ CLE Runs 1.5 1.6 D 9.2 -5 Pending
1087 Luisangel Acuna CWS CWS @ BOS Runs 1.5 1.6 D 9.2 -5 Pending
1088 Luisangel Acuna CWS CWS @ BOS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1089 Marcus Semien NYM NYM @ CLE Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1090 Max Kepler AZ SD @ ARI Runs 1.5 1.6 D 9.2 -5 Pending
1091 Mike Trout LAA LAA @ BAL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1092 Moises Ballesteros LAA LAA @ BAL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1093 Nasim Nunez WSH WSH @ PHI Runs 1.5 1.6 D 9.2 -5 Pending
1094 Nick Gonzales PIT PIT @ MIL Runs 1.5 1.6 D 9.2 -5 Pending
1095 Nick Loftin KC MIN @ KC Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1096 Nick Sogard BOS CWS @ BOS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1097 Nolan Schanuel LAA LAA @ BAL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1098 Randal Grichuk CWS CWS @ BOS Runs 1.5 1.6 D 9.2 -5 Pending
1099 Randal Grichuk CWS CWS @ BOS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1100 Ryan Kreidler MIN MIN @ KC Runs Batted In 1.5 1.6 D 9.2 -5 Pending
Showing 1076–1100 of 1133 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.