📡 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 29 – Aug 4 →
Wins
17
Losses
19
Push
6
Win %
47.2%
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 @ GSV WNBA
Rebounds 3.5 OVER
62.3 C+
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
20.7
Fit
5
2
TORONTO TEMPO @ GSV WNBA
Points 10.5 OVER
57.9 C+
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
21.5
Fit
4
3
TORONTO TEMPO @ GSV WNBA
Rebounds 4.5 OVER
56.2 C
  • Heavy minutes projection
  • Stable player role
Raw
35
Clean
22.9
Fit
5
4
TORONTO TEMPO @ GSV WNBA
Points 10.5 OVER
56.2 C
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
21.2
Fit
4

📋 Full Board (1435 picks · Page 52/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1276 Joc Pederson TEX SF @ TEX Runs 1.5 1.9 D 9.2 -5 Pending
1277 John Rave KC MIN @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1278 Jordan Walker STL STL @ NYY Runs 1.5 1.9 D 9.2 -5 Pending
1279 Jose Altuve HOU TOR @ HOU Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1280 Jose Fermin STL STL @ NYY Runs 1.5 1.9 D 9.2 -5 Pending
1281 Jose Siri LAA LAA @ BAL Total Bases 1.5 1.9 D 9.2 -5 Pending
1282 Josh Bell MIN MIN @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1283 Julio Rodriguez SEA DET @ SEA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1284 Keibert Ruiz WSH WSH @ PHI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1285 Ketel Marte AZ SD @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1286 Kyle Isbel KC MIN @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1287 Kyle Schwarber PHI WSH @ PHI Hits 1.5 1.9 D 9.2 -5 Pending
1288 Kyle Schwarber PHI WSH @ PHI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1289 Lars Nootbaar STL SD @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1290 Leody Taveras BAL LAA @ BAL Total Bases 1.5 1.9 D 9.2 -5 Pending
1291 Luis Torrens NYM NYM @ CLE Hits 1.5 1.9 D 9.2 -5 Pending
1292 Luis Torrens NYM NYM @ CLE Runs 1.5 1.9 D 9.2 -5 Pending
1293 Luis Torrens NYM NYM @ CLE Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1294 Manny Machado SD SD @ ARI Hits 1.5 1.9 D 9.2 -5 Pending
1295 Manny Machado SD SD @ ARI Runs 1.5 1.9 D 9.2 -5 Pending
1296 Manny Machado SD SD @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1297 Marcus Semien NYM NYM @ CLE Runs 1.5 1.9 D 9.2 -5 Pending
1298 Masyn Winn STL STL @ NYY Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1299 Matt McLain CIN CIN @ ATHLETICS@ Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1300 Michael Busch CHC LAD @ CHC Runs 1.5 1.9 D 9.2 -5 Pending
Showing 1276–1300 of 1435 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.