📡 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 |
← May 13 →
Wins
2
Losses
3
Push
1
Win %
40%
Pending
0
Sun 11/1 Sat 10/31 Fri 10/30 Thu 10/29 Wed 10/28 Tue 10/27 Mon 10/26 Sun 10/25 Sat 10/24 Fri 10/23 Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
14
Total Bases 1.5 OVER
54.4 C
  • Heavy minutes projection
  • Stable player role
Raw
68
Clean
20.3
Fit
0
16
Home Runs 0.5 OVER
50.3 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
62
Clean
19.4
Fit
0
18
Total Bases 1.5 OVER
48.8 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
60
Clean
18.8
Fit
0
19
Total Bases 1.5 OVER
48.5 D
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
59
Clean
18.9
Fit
0

📋 Full Board (1415 picks · Page 47/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1187 Jarred Kelenic CWS KC @ CWS Hits 1.5 3.9 D 9.2 -5 Pending
1188 Jarred Kelenic CWS KC @ CWS Total Bases 1.5 3.9 D 9.2 -5 Pending
1189 Joey Wiemer WSH WSH @ CIN Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1190 Manny Machado SD SD @ MIL Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1191 Nasim Nunez WSH WSH @ CIN Hits 1.5 3.9 D 9.2 -5 Pending
1192 Nasim Nunez WSH WSH @ CIN Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1193 Ramon Laureano SD SD @ MIL Runs 1.5 3.9 D 9.2 -5 Pending
1194 Sam Antonacci CWS KC @ CWS Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1195 Xander Bogaerts SD SD @ MIL Runs 1.5 3.9 D 9.2 -5 Pending
1196 Mickey Moniak COL PIT @ COL Hits 1.5 3.7 D 9.2 -5 Pending
1197 Andrew Benintendi CWS KC @ CWS Runs 1.5 3.6 D 9.2 -5 Pending
1198 Chase Meidroth CWS KC @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1199 Daylen Lile WSH WSH @ CIN Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1200 Drew Romo CWS KC @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1201 Fernando Tatis Jr. SD SD @ MIL Runs 1.5 3.6 D 9.2 -5 Pending
1202 Freddy Fermin SD SD @ MIL Runs 1.5 3.6 D 9.2 -5 Pending
1203 Gavin Sheets SD SD @ MIL Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1204 Jarred Kelenic CWS KC @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1205 Manny Machado SD SD @ MIL Hits 1.5 3.6 D 9.2 -5 Pending
1206 Miguel Andujar SD SD @ MIL Runs 1.5 3.6 D 9.2 -5 Pending
1207 Miguel Andujar SD SD @ MIL Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1208 Munetaka Murakami CWS KC @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1209 Tristan Peters CWS KC @ CWS Runs 1.5 3.6 D 9.2 -5 Pending
1210 Tristan Peters CWS KC @ CWS Runs Batted In 1.5 3.6 D 9.2 -5 Pending
1211 Adrian Del Castillo AZ ARI @ TEX Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 1151–1175 of 1415 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.