📡 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 17 – Sep 15 →
Wins
15
Losses
21
Push
3
Win %
41.7%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
Fri 10/9 Thu 10/8 Wed 10/7 Tue 10/6 Mon 10/5 Sun 10/4 Sat 10/3 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29 Sun 9/27 Sat 9/26 Fri 9/25
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Kody Clemens
MIN NYY @ MIN MLB
Runs 0.5 OVER
50.9 C
  • Heavy minutes projection
  • Stable player role
Raw
56
Clean
23.2
Fit
0
2
Cody Bellinger
NYY NYY @ MIN MLB
Total Bases 1.5 OVER
44.5 D
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
20.3
Fit
0
3
Elly De La Cruz
CIN LAD @ CIN MLB
Total Bases 1.5 OVER
43.9 D
  • Heavy minutes projection
  • Stable player role
  • Higher volatility than ideal
Raw
48
Clean
19.9
Fit
0
4
Randal Grichuk
CWS CWS @ CLE MLB
Total Bases 1.5 OVER
43.9 D
  • Heavy minutes projection
  • Stable player role
Raw
47
Clean
20.4
Fit
0

📋 Full Board (1387 picks · Page 44/56)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1076 Brooks Lee MIN NYY @ MIN Runs 1.5 2.2 D 9.2 -5 Pending
1077 Bryce Eldridge SF SF @ STL Runs 1.5 2.2 D 9.2 -5 Pending
1078 Bryce Harper PHI PHI @ WSH Runs 1.5 2.2 D 9.2 -5 Pending
1079 Cal Raleigh SEA SEA @ LAA Hits 1.5 2.2 D 9.2 -5 Pending
1080 Carlos Cortes OAK OAK @ ATHLETICS@ Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1081 Cedric Mullins TB TB @ ATHLETICS@ Hits 1.5 2.2 D 9.2 -5 Pending
1082 Cedric Mullins TB TB @ ATHLETICS@ Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1083 Cedric Mullins TB TB @ ATHLETICS@ Total Bases 1.5 2.2 D 9.2 -5 Pending
1084 Coby Mayo BAL BAL @ NYM Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1085 Colson Montgomery CWS CWS @ CLE Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1086 Colt Keith DET DET @ TOR Hits 1.5 2.2 D 9.2 -5 Pending
1087 Derek Hill PHI PHI @ WSH Runs 1.5 2.2 D 9.2 -5 Pending
1088 Dillon Dingler DET DET @ TOR Runs 1.5 2.2 D 9.2 -5 Pending
1089 Dominic Canzone SEA SEA @ LAA Runs 1.5 2.2 D 9.2 -5 Pending
1090 Drew Cavanaugh SF SF @ STL Hits 1.5 2.2 D 9.2 -5 Pending
1091 Drew Cavanaugh SF SF @ STL Runs 1.5 2.2 D 9.2 -5 Pending
1092 Dylan Crews WSH PHI @ WSH Runs 1.5 2.2 D 9.2 -5 Pending
1093 Edmundo Sosa PHI PHI @ WSH Runs 1.5 2.2 D 9.2 -5 Pending
1094 Edmundo Sosa PHI PHI @ WSH Runs Batted In 1.5 2.2 D 9.2 -5 Pending
1095 Ernie Clement TOR DET @ TOR Runs 1.5 2.2 D 9.2 -5 Pending
1096 Ezequiel Duran TEX BOS @ TEX Runs 1.5 2.2 D 9.2 -5 Pending
1097 Ezequiel Tovar COL SD @ COL Hits 1.5 2.2 D 9.2 -5 Pending
1098 Freddie Freeman LAD LAD @ CIN Runs 1.5 2.2 D 9.2 -5 Pending
1099 Geraldo Perdomo AZ MIA @ ARI Hits 1.5 2.2 D 9.2 -5 Pending
1100 Henry Bolte OAK OAK @ ATHLETICS@ Runs Batted In 1.5 2.2 D 9.2 -5 Pending
Showing 1076–1100 of 1387 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.