📡 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 |
← Sep 22 →
Wins
3
Losses
3
Win %
50%
Pending
0
Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25 Thu 9/24
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
LA @ LV WNBA
Assists 3.5 OVER
65.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
22.9
Fit
5
2
LA @ LV WNBA
Points 26.5 OVER
65.5 B-
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
23.1
Fit
4
3
LA @ LV WNBA
Points 21.5 OVER
64.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
23.2
Fit
4
4
TORONTO TEMPO @ CHI WNBA
Points 12.5 OVER
63.6 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
21.5
Fit
4

📋 Full Board (1511 picks · Page 51/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1251 Drew Cavanaugh SF MIN @ SF Hits 1.5 1.9 D 9.2 -5 Pending
1252 Drew Cavanaugh SF MIN @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1253 Dylan Beavers BAL TOR @ BAL Hits 1.5 1.9 D 9.2 -5 Pending
1254 Dylan Beavers BAL TOR @ BAL Total Bases 1.5 1.9 D 9.2 -5 Pending
1255 Emmanuel Rodriguez MIN MIN @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1256 Ernie Clement TOR TOR @ BAL Hits 1.5 1.9 D 9.2 -5 Pending
1257 Ezequiel Duran TEX NYM @ TEX Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1258 Ezequiel Tovar COL ARI @ COL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1259 Francisco Lindor NYM NYM @ TEX Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1260 Freddie Freeman LAD SD @ LAD Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1261 Gabriel Moreno AZ ARI @ COL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1262 Garrett Mitchell MIL MIL @ PHI Runs 1.5 1.9 D 9.2 -5 Pending
1263 George Springer TOR TOR @ BAL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1264 Gleyber Torres DET WSH @ DET Runs 1.5 1.9 D 9.2 -5 Pending
1265 Gleyber Torres DET WSH @ DET Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1266 Gunnar Henderson BAL TOR @ BAL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1267 Ha-Seong Kim ATL CIN @ ATL Hits 1.5 1.9 D 9.2 -5 Pending
1268 Ha-Seong Kim ATL CIN @ ATL Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1269 Ha-Seong Kim ATL CIN @ ATL Total Bases 1.5 1.9 D 9.2 -5 Pending
1270 Hector Rodriguez CIN CIN @ ATL Hits 1.5 1.9 D 9.2 -5 Pending
1271 Henry Bolte OAK LAA @ OAK Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1272 Heriberto Hernandez MIA MIA @ CHC Runs 1.5 1.9 D 9.2 -5 Pending
1273 Isaac Collins KC CWS @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1274 J.T. Realmuto PHI MIL @ PHI Runs 1.5 1.9 D 9.2 -5 Pending
1275 Jac Caglianone KC CWS @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
Showing 1251–1275 of 1511 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.