📡 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 22 – Jul 28 →
Wins
23
Losses
13
Push
5
Win %
63.9%
Pending
0
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 Mon 10/5 Sun 10/4
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
TORONTO TEMPO @ MIN WNBA
Points 18.5 OVER
72.7 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
22.9
Fit
4
2
IND @ SEA WNBA
Rebounds 6.5 OVER
70.6 B
  • Heavy minutes projection
  • Stable player role
Raw
64
Clean
23
Fit
5
3
NY @ LA WNBA
Points 19.5 OVER
70.1 B
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
28
Fit
4
4
CON @ WSH WNBA
Points 15.5 OVER
63.6 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.6
Fit
4

📋 Full Board (1571 picks · Page 42/63)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1026 Kyle Manzardo CLE CLE @ CIN Runs 1.5 4.8 D 9.2 -5 Pending
1027 Lane Thomas KC KC @ MIN Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1028 Lars Nootbaar STL CHC @ STL Hits 1.5 4.8 D 9.2 -5 Pending
1029 Lars Nootbaar STL CHC @ STL Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1030 Leody Taveras BAL BAL @ DET Runs 1.5 4.8 D 9.2 -5 Pending
1031 Liam Hicks MIA PHI @ MIA Hits 1.5 4.8 D 9.2 -5 Pending
1032 Liam Hicks MIA PHI @ MIA Total Bases 1.5 4.8 D 9.2 -5 Pending
1033 Lucas Spence HOU HOU @ LAA Total Bases 1.5 4.8 D 9.2 -5 Pending
1034 Luis Garcia Jr. WSH TOR @ WSH Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1035 Marcell Ozuna PIT ARI @ PIT Total Bases 1.5 4.8 D 9.2 -5 Pending
1036 Matt Olson ATL ATL @ NYM Hits 1.5 4.8 D 9.2 -5 Pending
1037 Matt Olson ATL ATL @ NYM Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1038 Michael Massey KC KC @ MIN Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1039 Mitch Garver SEA SEA @ LAD Total Bases 1.5 4.8 D 9.2 -5 Pending
1040 Nathan Lukes TOR TOR @ WSH Hits 1.5 4.8 D 9.2 -5 Pending
1041 Nolan Arenado AZ ARI @ PIT Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1042 Richie Palacios TB TEX @ TB Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1043 Ryan Kreidler MIN KC @ MIN Runs 1.5 4.8 D 9.2 -5 Pending
1044 Salvador Perez KC KC @ MIN Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1045 Spencer Torkelson DET BAL @ DET Hits 1.5 4.8 D 9.2 -5 Pending
1046 Spencer Torkelson DET BAL @ DET Total Bases 1.5 4.8 D 9.2 -5 Pending
1047 Tyler Stephenson CIN CLE @ CIN Hits 1.5 4.8 D 9.2 -5 Pending
1048 Vladimir Guerrero Jr. TOR TOR @ WSH Runs Batted In 1.5 4.8 D 9.2 -5 Pending
1049 Willson Contreras BOS BOS @ OAK Total Bases 1.5 4.8 D 9.2 -5 Pending
1050 Wyatt Langford TEX TEX @ TB Runs 1.5 4.8 D 9.2 -5 Pending
Showing 1026–1050 of 1571 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.