📡 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 |
← Aug 2 →
Wins
3
Losses
3
Win %
50%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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
21
Ketel Marte
AZ ARI @ CLE MLB
Hits 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
22
Kyle Stowers
MIA MIA @ NYM MLB
Runs 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
25
Gavin Williams
CLE ARI @ CLE MLB
Strikeouts 7.5 OVER
49.5 D
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
21.9
Fit
0
26
Ryan Waldschmidt
AZ ARI @ CLE MLB
Hits 0.5 OVER
49.2 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.9
Fit
0

📋 Full Board (1393 picks · Page 40/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1063 Christian Yelich MIL MIL @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1064 Christian Yelich MIL MIL @ LAA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1065 Colt Emerson SEA MIN @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1066 Colton Cowser BAL PHI @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
1067 Cooper Pratt MIL MIL @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1068 Dane Myers CIN PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1069 Dansby Swanson CHC NYY @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1070 Daulton Varsho TOR STL @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1071 David Hamilton MIL MIL @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1072 David Hamilton MIL MIL @ LAA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1073 Davis Schneider TOR STL @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1074 Donovan Walton OAK DET @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1075 Drew Cavanaugh SF SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1076 Drew Gilbert SF SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1077 Drew Romo CWS CWS @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
1078 Dylan Beavers BAL PHI @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
1079 Elly De La Cruz CIN PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1080 Endy Rodriguez PIT PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1081 Enmanuel Valdez PIT PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1082 Ernie Clement TOR STL @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1083 Esmerlyn Valdez PIT PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1084 Eugenio Suarez CIN PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1085 Evan Carter TEX TEX @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1086 Ezequiel Duran TEX TEX @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1087 Ezequiel Tovar COL KC @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 976–1000 of 1393 picks
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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.