📡 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 |
← Apr 29 – May 5 →
Wins
26
Losses
40
Push
4
Win %
39.4%
Pending
0
Mon 11/2 Sun 11/1 Sat 10/31 Fri 10/30 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Points 17.5 OVER
81.5 A-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
87
Clean
27.5
Fit
4
2
Points 27.5 OVER
78.7 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
77
Clean
30
Fit
4
3
Rebounds 7.5 OVER
69.1 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
25.9
Fit
5
4
Rebounds 7.5 OVER
68.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
27.3
Fit
5

📋 Full Board (1417 picks · Page 51/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1251 Bryce Harper PHI PHI @ OAK Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1252 Carter Jensen KC CLE @ KC Hits 1.5 1.9 D 9.2 -5 Pending
1253 Carter Jensen KC CLE @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1254 Carter Jensen KC CLE @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1255 Carter Jensen KC CLE @ KC Total Bases 1.5 1.9 D 9.2 -5 Pending
1256 Cedric Mullins TB TOR @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1257 Chandler Simpson TB TOR @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1258 Christian Vazquez HOU LAD @ HOU Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1259 Colby Thomas OAK OAK @ ATHLETICS@ Runs 1.5 1.9 D 9.2 -5 Pending
1260 Colby Thomas OAK OAK @ ATHLETICS@ Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1261 Corbin Carroll AZ PIT @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1262 Drew Gilbert SF SD @ SF Runs 1.5 1.9 D 9.2 -5 Pending
1263 George Springer TOR TOR @ TB Runs 1.5 1.9 D 9.2 -5 Pending
1264 George Springer TOR TOR @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1265 Geraldo Perdomo AZ PIT @ ARI Runs 1.5 1.9 D 9.2 -5 Pending
1266 Heliot Ramos SF SD @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1267 Ildemaro Vargas AZ PIT @ ARI Runs 1.5 1.9 D 9.2 -5 Pending
1268 Ildemaro Vargas AZ PIT @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1269 J.T. Realmuto PHI PHI @ OAK Runs 1.5 1.9 D 9.2 -5 Pending
1270 J.T. Realmuto PHI PHI @ OAK Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1271 Jake Fraley TB TOR @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1272 Jake Mangum PIT PIT @ ARI Runs 1.5 1.9 D 9.2 -5 Pending
1273 Jake Mangum PIT PIT @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1274 Jared Triolo PIT PIT @ ARI Runs 1.5 1.9 D 9.2 -5 Pending
1275 Jared Triolo PIT PIT @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
Showing 1251–1275 of 1417 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.