📡 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 →
Wins
4
Losses
2
Win %
66.7%
Pending
0
Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LV @ POR WNBA
Rebounds 8.5 OVER
74.7 B
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
28.1
Fit
5
2
IND @ PHX WNBA
Points 20.5 OVER
69.9 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
71
Clean
23.5
Fit
4
3
LV @ POR WNBA
Points 18.5 OVER
68 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
28
Fit
4
4
LV @ POR WNBA
Assists 6.5 OVER
67.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
28.8
Fit
5

📋 Full Board (1282 picks · Page 47/52)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1151 Justin Crawford PHI PHI @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1152 Kahlil Watson CLE CLE @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1153 Kerry Carpenter DET DET @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1154 Kerry Carpenter DET DET @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1155 Ketel Marte AZ ARI @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1156 Ketel Marte AZ ARI @ SD Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1157 Kevin Alcantara CHC CHC @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
1158 Kevin McGonigle DET DET @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1159 Kyle Manzardo CLE CLE @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1160 Kyle Manzardo CLE CLE @ MIN Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1161 Lars Nootbaar STL MIL @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1162 Lars Nootbaar STL MIL @ STL Runs 0.5 3.2 D 9.2 -5 Pending
1163 Lars Nootbaar STL MIL @ STL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1164 Liam Hicks MIA SEA @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1165 Logan O'Hoppe LAA LAA @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1166 Lourdes Gurriel Jr. AZ ARI @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1167 Luis Arraez SF COL @ SF Home Runs 0.5 3.2 D 9.2 -5 Pending
1168 Luisangel Acuna CWS BOS @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1169 Luisangel Acuna CWS BOS @ CWS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1170 Luke Raley SEA SEA @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1171 Luke Raley SEA SEA @ MIA Runs 0.5 3.2 D 9.2 -5 Pending
1172 Masyn Winn STL MIL @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1173 Matt McLain CIN PHI @ CIN Hits 0.5 3.2 D 9.2 -5 Pending
1174 Matt McLain CIN PHI @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1175 Matt McLain CIN PHI @ CIN Runs Batted In 0.5 3.2 D 9.2 -5 Pending
Showing 1151–1175 of 1282 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.