📡 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 20 →
Wins
2
Losses
3
Push
1
Win %
40%
Pending
0
Fri 10/9 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
NY @ TORONTO WNBA
Points 16.5 OVER
77.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
87
Clean
22.8
Fit
4
2
POR @ LA WNBA
Points 7.5 OVER
76.2 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
85
Clean
22.8
Fit
4
3
POR @ LA WNBA
Points 14.5 OVER
75 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
83
Clean
22.4
Fit
4
4
SEA @ LV WNBA
Points 13.5 OVER
71.2 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
77
Clean
21.7
Fit
4

📋 Full Board (2103 picks · Page 49/85)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1201 Braden Montgomery CWS DET @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1202 Brady House WSH WSH @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1203 Brandon Marsh PHI PHI @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
1204 Brandon Marsh PHI PHI @ NYM Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1205 Brandon Valenzuela TOR TOR @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1206 Brayan Rocchio CLE CLE @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1207 Brenton Doyle CWS DET @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1208 Brett Callahan DET DET @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1209 Brett Harris SF SF @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1210 Brett Harris SF SF @ LAD Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1211 Brett Sullivan COL SEA @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1212 Brewer Hicklen ATL ATL @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1213 Brock Rodden SEA SEA @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1214 Brooks Lee MIN MIN @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1215 Bryan Reynolds PIT KC @ PIT Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1216 Bryan Torres STL WSH @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1217 Bryson Stott PHI PHI @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
1218 Caleb Durbin BOS BOS @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1219 Cam Smith HOU ATL @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1220 Carlos Cortes OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1221 Carlos Cortes OAK OAK @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1222 Chandler Simpson TB BOS @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1223 Chase Meidroth CWS DET @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1224 Christian Koss SF SF @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1225 Christian Moore LAA MIN @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1201–1225 of 2103 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.