📡 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 |
← May 12 →
Wins
5
Losses
1
Win %
83.3%
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
Rebounds 6.5 OVER
55.9 C
  • Heavy minutes projection
Raw
48
Clean
15.4
Fit
5
2
Hits 0.5 OVER
55.4 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
70
Clean
20.2
Fit
0
3
Rebounds 7.5 OVER
54.5 C
Raw
45
Clean
15.4
Fit
5
4
Total Bases 1.5 OVER
54.4 C
  • Heavy minutes projection
  • Stable player role
Raw
68
Clean
20.3
Fit
0

📋 Full Board (1489 picks · Page 58/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1426 Jeff McNeil OAK STL @ OAK Runs 1.5 1.6 D 9.2 -5 Pending
1427 Jeff McNeil OAK STL @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1428 Jeremiah Jackson BAL NYY @ BAL Runs 1.5 1.6 D 9.2 -5 Pending
1429 Jeremiah Jackson BAL NYY @ BAL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1430 Jose Fermin STL STL @ OAK Runs 1.5 1.6 D 9.2 -5 Pending
1431 Jose Fernandez AZ ARI @ TEX Runs 1.5 1.6 D 9.2 -5 Pending
1432 Jose Fernandez AZ ARI @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1433 Lawrence Butler OAK STL @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1434 Lenyn Sosa TOR TOR @ TB Runs 1.5 1.6 D 9.2 -5 Pending
1435 Lenyn Sosa TOR TOR @ TB Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1436 Lourdes Gurriel Jr. AZ ARI @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1437 Matt Chapman SF SF @ LAD Runs 1.5 1.6 D 9.2 -5 Pending
1438 Moisés Ballesteros CHC CHC @ ATL Runs 1.5 1.6 D 9.2 -5 Pending
1439 Myles Straw TOR TOR @ TB Runs 1.5 1.6 D 9.2 -5 Pending
1440 Myles Straw TOR TOR @ TB Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1441 Nick Fortes TB TB @ TOR Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1442 Pedro Pages STL STL @ OAK Hits 1.5 1.6 D 9.2 -5 Pending
1443 Pedro Pages STL STL @ OAK Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1444 Pedro Pages STL STL @ OAK Total Bases 1.5 1.6 D 9.2 -5 Pending
1445 Ramon Laureano SD SD @ MIL Total Bases 2.5 1.6 D 9.2 -5 Pending
1446 Salvador Perez KC KC @ CWS Runs 1.5 1.6 D 9.2 -5 Pending
1447 Taylor Walls TB TB @ TOR Runs 1.5 1.6 D 9.2 -5 Pending
1448 Taylor Ward BAL NYY @ BAL Hits 1.5 1.6 D 9.2 -5 Pending
1449 Taylor Ward BAL NYY @ BAL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1450 Thomas Saggese STL STL @ OAK Hits 1.5 1.6 D 9.2 -5 Pending
Showing 1426–1450 of 1489 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.