📡 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 5 →
Wins
0
Losses
0
Push
6
Win %
0%
Pending
0
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 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
PHX @ ATL WNBA
Assists 8.5 OVER
69.6 B
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
28.4
Fit
5
2
PHX @ ATL WNBA
Rebounds 8.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
27.9
Fit
5
3
PHX @ ATL WNBA
Points 15.5 OVER
67.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
59
Clean
28
Fit
4
4
PHX @ ATL 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 (1538 picks · Page 44/62)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1076 Corey Seager TEX SF @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1077 Corey Seager TEX SF @ TEX Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1078 Dane Myers CIN CIN @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1079 Daulton Varsho HOU TOR @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1080 David Hamilton MIL PIT @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1081 David Hamilton MIL PIT @ MIL Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1082 Dominic Canzone SEA DET @ SEA Home Runs 0.5 3.2 D 9.2 -5 Pending
1083 Dominic Canzone SEA DET @ SEA Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1084 Donovan Walton OAK OAK @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1085 Drake Baldwin ATL MIA @ ATL Home Runs 0.5 3.2 D 9.2 -5 Pending
1086 Drew Cavanaugh SF SF @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
1087 Dylan Crews WSH WSH @ PHI Home Runs 0.5 3.2 D 9.2 -5 Pending
1088 Eddys Leonard SF SF @ TEX Runs 0.5 3.2 D 9.2 -5 Pending
1089 Eddys Leonard SF SF @ TEX Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1090 Elly De La Cruz CIN CIN @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1091 Enmanuel Valdez PIT PIT @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1092 Ernie Clement TOR TOR @ HOU Home Runs 0.5 3.2 D 9.2 -5 Pending
1093 Esmerlyn Valdez PIT PIT @ MIL Hits 0.5 3.2 D 9.2 -5 Pending
1094 Esmerlyn Valdez PIT PIT @ MIL Home Runs 0.5 3.2 D 9.2 -5 Pending
1095 Eugenio Suarez CIN CIN @ ATHLETICS@ Home Runs 0.5 3.2 D 9.2 -5 Pending
1096 Eugenio Suarez CIN CIN @ ATHLETICS@ Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1097 Fernando Tatis Jr. SD SD @ ARI Home Runs 0.5 3.2 D 9.2 -5 Pending
1098 Francisco Alvarez NYM NYM @ CLE Home Runs 0.5 3.2 D 9.2 -5 Pending
1099 Francisco Alvarez NYM NYM @ CLE Runs Batted In 0.5 3.2 D 9.2 -5 Pending
1100 Freddie Freeman LAD LAD @ CHC Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1076–1100 of 1538 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.