📡 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 21 →
Wins
4
Losses
16
Win %
20%
Pending
0
Wed 11/4 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Points 24.5 OVER
83.8 A-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
92
Clean
27.5
Fit
4
2
Assists 7.5 OVER
66.9 B-
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
55
Clean
26.3
Fit
5
3
Rebounds 5.5 OVER
65.8 B-
  • Stable player role
  • Usage boost opportunity
Raw
50
Clean
25.2
Fit
5
4
Rebounds 8.5 OVER
64.1 B-
  • Heavy minutes projection
  • Stable player role
  • Usage boost opportunity
Raw
44
Clean
26.7
Fit
5

📋 Full Board (1556 picks · Page 57/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1401 Geraldo Perdomo AZ CWS @ ARI Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1402 Gunnar Henderson BAL BAL @ KC Runs 1.5 1.9 D 9.2 -5 Pending
1403 Hunter Goodman COL COL @ SD Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1404 Isaac Collins KC BAL @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1405 Jake Fraley TB CIN @ TB Runs 1.5 1.9 D 9.2 -5 Pending
1406 Jake Fraley TB CIN @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1407 Jeff McNeil OAK OAK @ ATHLETICS@ Runs 1.5 1.9 D 9.2 -5 Pending
1408 Jeff McNeil OAK OAK @ ATHLETICS@ Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1409 Joey Ortiz MIL MIL @ DET Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1410 Johnathan Rodriguez BAL BAL @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1411 Jonah Heim ATL ATL @ WSH Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1412 Jonathan Aranda TB CIN @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1413 Jung Hoo Lee SF LAD @ SF Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1414 Kyle Isbel KC BAL @ KC Hits 1.5 1.9 D 9.2 -5 Pending
1415 Kyle Isbel KC BAL @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1416 Kyle Isbel KC BAL @ KC Total Bases 1.5 1.9 D 9.2 -5 Pending
1417 Lawrence Butler OAK OAK @ ATHLETICS@ Runs 1.5 1.9 D 9.2 -5 Pending
1418 Maikel Garcia KC BAL @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1419 Mauricio Dubon ATL ATL @ WSH Runs 1.5 1.9 D 9.2 -5 Pending
1420 Nick Fortes TB CIN @ TB Runs 1.5 1.9 D 9.2 -5 Pending
1421 Nick Fortes TB CIN @ TB Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1422 Nolan Arenado AZ CWS @ ARI Runs 1.5 1.9 D 9.2 -5 Pending
1423 Pete Alonso BAL BAL @ KC Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1424 Rafael Devers SF LAD @ SF Runs 1.5 1.9 D 9.2 -5 Pending
1425 Richie Palacios TB CIN @ TB Runs 1.5 1.9 D 9.2 -5 Pending
Showing 1401–1425 of 1556 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.