📡 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 |
← Jul 29 – Aug 11 →
Wins
17
Losses
19
Push
48
Win %
47.2%
Pending
0
Mon 10/19 Sun 10/18 Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 Mon 10/12 Sun 10/11 Sat 10/10 Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
PHX @ LA WNBA
Rebounds 8.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
27.9
Fit
5
2
PHX @ LA WNBA
Assists 9.5 OVER
67.9 B-
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
28.4
Fit
5
3
PHX @ LA WNBA
Points 16.5 OVER
66.1 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
28
Fit
4
4
PHX @ LA WNBA
Points 11.5 OVER
65.8 B-
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
21.8
Fit
4

📋 Full Board (1485 picks · Page 58/60)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1426 Nasim Nunez WSH CHC @ WSH Total Bases 1.5 1.9 D 9.2 -5 Pending
1427 Nick Gonzales PIT PIT @ MIA Runs 1.5 1.9 D 9.2 -5 Pending
1428 Owen Caissie MIA PIT @ MIA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1429 Patrick Bailey CLE CLE @ DET Runs 1.5 1.9 D 9.2 -5 Pending
1430 Randy Arozarena SEA SEA @ NYY Runs 1.5 1.9 D 9.2 -5 Pending
1431 Ryan McMahon NYY SEA @ NYY Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1432 Spencer Horwitz PIT PIT @ MIA Runs 1.5 1.9 D 9.2 -5 Pending
1433 Spencer Horwitz PIT PIT @ MIA Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1434 Spencer Jones NYY SEA @ NYY Runs 1.5 1.9 D 9.2 -5 Pending
1435 Spencer Torkelson DET CLE @ DET Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1436 Steven Kwan CLE CLE @ DET Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1437 Taylor Ward SEA SEA @ NYY Runs 1.5 1.9 D 9.2 -5 Pending
1438 Teoscar Hernandez LAD KC @ LAD Total Bases 1.5 1.9 D 9.2 -5 Pending
1439 Trent Grisham NYY SEA @ NYY Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1440 Trevor Larnach MIN BAL @ MIN Total Bases 1.5 1.9 D 9.2 -5 Pending
1441 Zach McKinstry DET CLE @ DET Runs Batted In 1.5 1.9 D 9.2 -5 Pending
1442 Brayan Rocchio CLE CLE @ DET Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1443 Bryan Reynolds PIT PIT @ MIA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1444 Cal Raleigh SEA SEA @ NYY Runs 1.5 1.6 D 9.2 -5 Pending
1445 Cal Raleigh SEA SEA @ NYY Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1446 Cole Young SEA SEA @ NYY Runs 1.5 1.6 D 9.2 -5 Pending
1447 Dominic Canzone SEA SEA @ NYY Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1448 Evan Carter TEX TEX @ LAA Total Bases 1.5 1.6 D 9.2 -5 Pending
1449 George Springer TOR BOS @ TOR Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1450 Gleyber Torres DET CLE @ DET Runs Batted In 1.5 1.6 D 9.2 -5 Pending
Showing 1426–1450 of 1485 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.