📡 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 |
← Jun 3 →
Wins
3
Losses
3
Win %
50%
Pending
0
Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19 Sun 10/18 Sat 10/17 Fri 10/16
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
4
Hits 0.5 OVER
48.5 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.1
Fit
0
5
Hits 0.5 OVER
48.5 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.1
Fit
0
6
Hits 0.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.2
Fit
0
7
Hits 0.5 OVER
48.4 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.2
Fit
0

📋 Full Board (1412 picks · Page 50/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1254 Isaac Collins KC KC @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1255 Isaac Collins KC KC @ CIN Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1256 Jacob Gonzalez CWS CWS @ MIN Runs 1.5 3.2 D 9.2 -5 Pending
1257 Jake Meyers HOU PIT @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1258 Jake Rogers DET DET @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1259 Jake Rogers DET DET @ TB Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1260 Jared Triolo PIT PIT @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1261 Jeff McNeil OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1262 Jeff McNeil OAK OAK @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1263 JJ Wetherholt STL TEX @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1264 JJ Wetherholt STL TEX @ STL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1265 Joey Ortiz MIL SF @ MIL Runs 0.5 3.2 D 9.2 -5 Pending
1266 Jordan Walker STL TEX @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1267 Jorge Soler LAA COL @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1268 Jose Caballero NYY CLE @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1269 Jose Fermin STL TEX @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1270 Jose Ramirez CLE CLE @ NYY Home Runs 0.5 3.2 D 9.2 -5 Pending
1271 Josh Bell MIN CWS @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1272 Jung Hoo Lee SF SF @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1273 Justin Crawford PHI SD @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1274 Justin Crawford PHI SD @ PHI Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1275 Kevin Alcantara CHC CHC @ ATHLETICS@ Runs 0.5 3.2 D 9.2 -5 Pending
1276 Kevin Alcantara CHC CHC @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1277 Kevin McGonigle DET DET @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1278 Kevin McGonigle DET DET @ TB Runs Batted In 0.5 3.2 D 9.2 -5 Pending
Showing 1226–1250 of 1412 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.