📡 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 19 →
Wins
0
Losses
0
Win %
0%
Pending
0
Wed 11/4 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Points 23.5 OVER
83.7 A-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
92
Clean
27.4
Fit
4
2
Assists 6.5 OVER
72.9 B
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
66
Clean
26.6
Fit
5
3
L
Rebounds 5.5 OVER
68.1 B-
  • Heavy minutes projection
Raw
64
Clean
19.9
Fit
5
4
Points 12.5 OVER
66.6 B-
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
62
Clean
24.8
Fit
4

📋 Full Board (1547 picks · Page 44/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1076 Denzel Clarke OAK CWS @ OAK Runs 0.5 5.8 D 9.2 -5 Pending
1077 Denzel Clarke OAK CWS @ OAK Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1078 Drew Gilbert SF SF @ WSH Home Runs 0.5 5.8 D 9.2 -5 Pending
1079 Geraldo Perdomo AZ TOR @ ARI Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1080 Gunnar Henderson BAL BAL @ CLE Home Runs 0.5 5.8 D 9.2 -5 Pending
1081 Gunnar Henderson BAL BAL @ CLE Total Bases 1.5 5.8 D 9.2 -5 Pending
1082 Hunter Feduccia TB TB @ PIT Hits 0.5 5.8 D 9.2 -5 Pending
1083 Hunter Feduccia TB TB @ PIT Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1084 Hyeseong Kim LAD LAD @ COL Home Runs 0.5 5.8 D 9.2 -5 Pending
1085 Hyeseong Kim LAD LAD @ COL Runs 0.5 5.8 D 9.2 -5 Pending
1086 Ildemaro Vargas AZ TOR @ ARI Home Runs 0.5 5.8 D 9.2 -5 Pending
1087 Isaac Collins KC KC @ NYY Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1088 Jeff McNeil OAK CWS @ OAK Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1089 Joey Bart PIT TB @ PIT Home Runs 0.5 5.8 D 9.2 -5 Pending
1090 Joey Bart PIT TB @ PIT Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1091 Johnathan Rodriguez BAL BAL @ CLE Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1092 Jonny Deluca TB TB @ PIT Home Runs 0.5 5.8 D 9.2 -5 Pending
1093 Jordan Walker STL STL @ HOU Home Runs 0.5 5.8 D 9.2 -5 Pending
1094 Jorge Barrosa AZ TOR @ ARI Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1095 Josh Lowe LAA SD @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
1096 Jung Hoo Lee SF SF @ WSH Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1097 Kyle Karros COL LAD @ COL Runs Batted In 0.5 5.8 D 9.2 -5 Pending
1098 Lane Thomas KC KC @ NYY Runs 0.5 5.8 D 9.2 -5 Pending
1099 Logan O'Hoppe LAA SD @ LAA Home Runs 0.5 5.8 D 9.2 -5 Pending
1100 Maikel Garcia KC KC @ NYY Runs Batted In 0.5 5.8 D 9.2 -5 Pending
Showing 1076–1100 of 1547 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.