📡 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 14 – Sep 20 →
Wins
15
Losses
20
Push
1
Win %
42.9%
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 58/85)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1426 Gleyber Torres DET DET @ CWS Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1427 Griffin Conine MIA MIA @ SD Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1428 Ha-Seong Kim ATL ATL @ HOU Runs 1.5 2.2 D 9.2 -5 Pending
1429 Harry Ford WSH WSH @ STL Runs 1.5 2.2 D 9.2 -5 Pending
1430 Hunter Feduccia LAD SF @ LAD Total Bases 1.5 2.2 D 9.2 -5 Pending
1431 Hunter Goodman COL SEA @ COL Runs 1.5 2.2 D 9.2 -5 Pending
1432 Ian Happ CHC CHC @ CIN Hits 1.5 2.2 D 9.2 -5 Pending
1433 Ivan Herrera STL WSH @ STL Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1434 Jake Burger TEX TOR @ TEX Hits 1.5 2.2 D 9.2 -5 Pending
1435 Jake Cronenworth SD MIA @ SD Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1436 James Wood WSH WSH @ STL Runs 1.5 2.2 D 9.2 -5 Pending
1437 James Wood WSH WSH @ STL Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1438 Jeff McNeil OAK OAK @ ATHLETICS@ Total Bases 1.5 2.2 D 9.2 -5 Pending
1439 Jeremiah Jackson BAL MIL @ BAL Runs 1.5 2.2 D 9.2 -5 Pending
1440 Jeremiah Jackson BAL MIL @ BAL Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1441 Joe Mack MIA MIA @ SD Runs 1.5 2.2 D 9.2 -5 Pending
1442 Joe Mack MIA MIA @ SD Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1443 John Peck DET DET @ CWS Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1444 Jonah Heim OAK OAK @ ATHLETICS@ Hits 1.5 2.2 D 9.2 -5 Pending
1445 Jonah Heim OAK OAK @ ATHLETICS@ Total Bases 1.5 2.2 D 9.2 -5 Pending
1446 Jordan Beck COL SEA @ COL Hits 1.5 2.2 D 9.2 -5 Pending
1447 Jordan Beck COL SEA @ COL Total Bases 1.5 2.2 D 9.2 -5 Pending
1448 Jordan Walker STL WSH @ STL Hits 1.5 2.2 D 9.2 -5 Pending
1449 Jordan Walker STL WSH @ STL Total Bases 1.5 2.2 D 9.2 -5 Pending
1450 Josh Bell MIN MIN @ LAA Runs Batted In 1.5 2.2 D 9.2 -5 Pending
Showing 1426–1450 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.