📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← Jun 30 – Jul 29 →
Wins
80
Losses
57
Push
18
Win %
58.4%
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
ATL @ DAL WNBA
Points 14.5 OVER
73 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
23.1
Fit
4
2
ATL @ DAL WNBA
Assists 8.5 OVER
70.7 B
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
28.4
Fit
5
3
GSV @ PHX WNBA
Rebounds 7.5 OVER
67.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
49
Clean
28.2
Fit
5
4
ATL @ DAL WNBA
Points 11.5 OVER
65.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
28.1
Fit
4

📋 Full Board (1449 picks · Page 43/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1051 Nicky Lopez TEX TEX @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1052 Noelvi Marte CIN CLE @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1053 Nolan Arenado AZ ARI @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1054 Nolan Schanuel LAA HOU @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1055 Otto Lopez MIA PHI @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
1056 Pedro Pages STL CHC @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1057 Pedro Ramirez CHC CHC @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
1058 Petey Halpin CLE CLE @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1059 Riley Greene DET BAL @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1060 Romy Gonzalez BOS BOS @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1061 Ronald Acuna Jr. ATL ATL @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
1062 Royce Lewis MIN KC @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1063 Ryan Kreidler MIN KC @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1064 Ryan McMahon NYY NYY @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1065 Ryan Waldschmidt AZ ARI @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1066 Sam Antonacci CWS NYY @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1067 Spencer Jones NYY NYY @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
1068 Spencer Torkelson DET BAL @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1069 Steven Kwan CLE CLE @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1070 Taylor Walls TB TEX @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1071 Taylor Ward BAL BAL @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
1072 Teoscar Hernandez LAD SEA @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1073 Teoscar Hernandez LAD SEA @ LAD Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1074 Tim Tawa AZ ARI @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
1075 TJ Rumfield COL COL @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1051–1075 of 1449 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.