📡 SCORES
🏈 Loading...

⚡ Nex Board

Mixed ranking engine — sides + props scored, ranked, and graded. Top 4 daily picks.

Nex Board Record
1D 7D 14D 30D |
← May 12 →
Wins
5
Losses
1
Win %
83.3%
Pending
0
Mon 11/2 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
2
Hits 0.5 OVER
55.4 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
70
Clean
20.2
Fit
0
4
Total Bases 1.5 OVER
54.4 C
  • Heavy minutes projection
  • Stable player role
Raw
68
Clean
20.3
Fit
0
5
Total Bases 1.5 OVER
53.4 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
67
Clean
20
Fit
0
6
Home Runs 0.5 OVER
51.5 C
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
64
Clean
19.4
Fit
0

📋 Full Board (1429 picks · Page 47/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1178 Vladimir Guerrero Jr. TOR TOR @ TB Hits 1.5 4.5 D 9.2 -5 Pending
1179 Vladimir Guerrero Jr. TOR TOR @ TB Total Bases 1.5 4.5 D 9.2 -5 Pending
1180 Willy Adames SF SF @ LAD Runs Batted In 1.5 4.5 D 9.2 -5 Pending
1181 Colt Keith DET NYM @ DET Total Bases 1.5 4.4 D 9.2 -5 Pending
1182 Kevin McGonigle DET NYM @ DET Total Bases 1.5 4.4 D 9.2 -5 Pending
1183 Zach McKinstry DET NYM @ DET Hits 1.5 4.4 D 9.2 -5 Pending
1184 Zach McKinstry DET NYM @ DET Runs 1.5 4.2 D 9.2 -5 Pending
1185 J.T. Realmuto PHI PHI @ BOS Runs 1.5 4.1 D 9.2 -5 Pending
1186 Andrew Benintendi CWS KC @ CWS Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1187 Colson Montgomery CWS KC @ CWS Runs 1.5 3.9 D 9.2 -5 Pending
1188 Drew Romo CWS KC @ CWS Hits 1.5 3.9 D 9.2 -5 Pending
1189 Drew Romo CWS KC @ CWS Runs 1.5 3.9 D 9.2 -5 Pending
1190 Gavin Sheets SD SD @ MIL Runs 1.5 3.9 D 9.2 -5 Pending
1191 Jake Burger TEX TEX @ ARI Total Bases 2.5 3.9 D 9.2 -5 Pending
1192 Jarred Kelenic CWS KC @ CWS Hits 1.5 3.9 D 9.2 -5 Pending
1193 Jarred Kelenic CWS KC @ CWS Total Bases 1.5 3.9 D 9.2 -5 Pending
1194 Luis Garcia Jr. WSH WSH @ CIN Runs 1.5 3.9 D 9.2 -5 Pending
1195 Manny Machado SD SD @ MIL Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1196 Nasim Nunez WSH WSH @ CIN Hits 1.5 3.9 D 9.2 -5 Pending
1197 Nasim Nunez WSH WSH @ CIN Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1198 Ramon Laureano SD SD @ MIL Runs 1.5 3.9 D 9.2 -5 Pending
1199 Sam Antonacci CWS KC @ CWS Runs Batted In 1.5 3.9 D 9.2 -5 Pending
1200 Xander Bogaerts SD SD @ MIL Runs 1.5 3.9 D 9.2 -5 Pending
1201 Mickey Moniak COL PIT @ COL Hits 1.5 3.8 D 9.2 -5 Pending
1203 Shohei Ohtani LAD LAD @ SF Total Bases 2.5 3.8 D 9.2 -5 Pending
Showing 1151–1175 of 1429 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.