📡 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 18 →
Wins
3
Losses
3
Win %
50%
Pending
0
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 Wed 10/7 Tue 10/6 Mon 10/5
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
POR @ MIN WNBA
Points 17.5 OVER
79.1 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
80
Clean
28.6
Fit
4
2
NY @ IND WNBA
Points 20.5 OVER
73.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
70
Clean
28.2
Fit
4
3
NY @ IND WNBA
Rebounds 7.5 OVER
69.9 B
  • Heavy minutes projection
  • Stable player role
Raw
52
Clean
28.6
Fit
5
4
NY @ IND WNBA
Points 16.5 OVER
68.4 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
69
Clean
22.9
Fit
4

📋 Full Board (1508 picks · Page 49/61)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1201 Lawrence Butler OAK WSH @ OAK Runs 0.5 3.2 D 9.2 -5 Pending
1202 Liam Hicks MIA MIA @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1203 Logan O'Hoppe LAA DET @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1204 Logan O'Hoppe LAA DET @ LAA Runs 0.5 3.2 D 9.2 -5 Pending
1205 Lourdes Gurriel Jr. AZ STL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1206 Luis Arraez SF SF @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1207 Luke Keaschall MIN MIN @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1208 Luke Raley SEA SF @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1209 Luke Raley SEA SF @ SEA Runs 0.5 3.2 D 9.2 -5 Pending
1210 Marcus Semien NYM NYM @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1211 Marcus Semien NYM NYM @ PHI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1212 Masyn Winn STL STL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1213 Matt Vierling DET DET @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1214 Michael Busch CHC MIN @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1215 Michael Harris II ATL TEX @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1216 Michael Massey KC SD @ KC Home Runs 0.5 3.2 D 9.2 -5 Pending
1217 Mickey Moniak COL CIN @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1218 Miguel Rojas LAD LAD @ NYY Runs 0.5 3.2 D 9.2 -5 Pending
1219 Mike Trout LAA DET @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1220 Mookie Betts LAD LAD @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1221 Munetaka Murakami CWS CWS @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1222 Nasim Nunez WSH WSH @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1223 Nathan Church STL STL @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1224 Nick Fortes TB TB @ BOS Home Runs 0.5 3.2 D 9.2 -5 Pending
1225 Nick Fortes TB TB @ BOS Runs Batted In 0.5 3.2 D 9.2 -5 Pending
Showing 1201–1225 of 1508 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.