📡 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 41/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1088 Fernando Tatis Jr. SD SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1089 Francisco Alvarez NYM MIA @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
1090 Francisco Alvarez NYM MIA @ NYM Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1091 Freddie Freeman LAD BOS @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
1092 Gabriel Rincones Jr. PHI PHI @ BAL Runs 0.5 3.2 D 9.2 -5 Pending
1093 Gabriel Rincones Jr. PHI PHI @ BAL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1094 Garrett Mitchell MIL MIL @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1095 Gavin Sheets SD SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1096 Gunnar Henderson BAL PHI @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
1097 Harry Ford WSH WSH @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1098 Harry Ford WSH WSH @ ATL Runs 0.5 3.2 D 9.2 -5 Pending
1099 Harry Ford WSH WSH @ ATL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1100 Heliot Ramos SF SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1101 Ian Happ CHC NYY @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
1102 Isaac Collins KC KC @ COL Home Runs 0.5 3.2 D 9.2 -5 Pending
1103 Isaac Collins KC KC @ COL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1104 Ivan Herrera STL STL @ TOR Home Runs 0.5 3.2 D 9.2 -5 Pending
1105 Jackson Chourio MIL MIL @ LAA Home Runs 0.5 3.2 D 9.2 -5 Pending
1106 Jackson Holliday BAL PHI @ BAL Home Runs 0.5 3.2 D 9.2 -5 Pending
1107 Jackson Merrill SD SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
1108 Jacob Gonzalez PIT PIT @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
1109 Jacob Wilson OAK DET @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
1110 Jacob Young WSH WSH @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1111 Jake Burger TEX TEX @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1112 Jake Cronenworth SD SF @ SD Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1001–1025 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.