📡 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 17 →
Wins
4
Losses
2
Win %
66.7%
Pending
0
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 Fri 10/9 Thu 10/8
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
ATL @ TORONT WNBA
Rebounds 3.5 OVER
72.2 B
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
28.2
Fit
5
2
ATL @ TORONT WNBA
Assists 7.5 OVER
70.3 B
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.4
Fit
5
3
LA @ CHI WNBA
Assists 2.5 OVER
67.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
22.9
Fit
5
4
SEA @ IND WNBA
Points 22.5 OVER
67.3 B-
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
23.5
Fit
4

📋 Full Board (1448 picks · Page 51/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1251 Jackson Holliday BAL BAL @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1252 Jackson Holliday BAL BAL @ HOU Runs 0.5 3.2 D 9.2 -5 Pending
1253 Jacob Gonzalez PIT PIT @ CLE Runs 0.5 3.2 D 9.2 -5 Pending
1254 Jacob Wilson OAK WSH @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1255 Jacob Wilson OAK WSH @ OAK Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1256 Jacob Young WSH WSH @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1257 Jakob Marsee MIA MIA @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1258 Jared Triolo PIT PIT @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1259 Jarren Duran BOS TB @ BOS Home Runs 0.5 3.2 D 9.2 -5 Pending
1260 Javier Sanoja MIA MIA @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1261 Javier Sanoja MIA MIA @ MIL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1262 Jeff McNeil OAK WSH @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1263 Jeremy Pena HOU BAL @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1264 JJ Wetherholt STL STL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1265 JJ Wetherholt STL STL @ ARI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1266 Joe Mack MIA MIA @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1267 Joe Mack MIA MIA @ MIL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1268 Jonah Heim OAK WSH @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1269 Jonah Heim OAK WSH @ OAK Runs 0.5 3.2 D 9.2 -5 Pending
1270 Jonah Heim OAK WSH @ OAK Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1271 Jonny Deluca TB TB @ BOS Home Runs 0.5 3.2 D 9.2 -5 Pending
1272 Jonny Deluca TB TB @ BOS Runs 0.5 3.2 D 9.2 -5 Pending
1273 Jonny Deluca TB TB @ BOS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1274 Jorge Soler LAA DET @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1275 Jose Caballero NYY LAD @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1251–1275 of 1448 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.