📡 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 |
← Sep 8 →
Wins
4
Losses
2
Win %
66.7%
Pending
0
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 Fri 10/2 Thu 10/1 Wed 9/30 Tue 9/29
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Runs 0.5 OVER
64.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
84
Clean
23.2
Fit
0
2
Runs 0.5 OVER
64.8 B-
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
84
Clean
23.2
Fit
0
3
Runs Batted In 0.5 OVER
62.2 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
79
Clean
23.2
Fit
0
4
Hits 0.5 OVER
61.9 C+
  • Heavy minutes projection
  • Stable player role
  • Strong matchup profile
Raw
78
Clean
23.2
Fit
0

📋 Full Board (1314 picks · Page 38/53)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
926 Jasson Domínguez NYY NYY @ COL Home Runs 1.5 7.1 D 9.2 -5 Pending
927 Ryan McMahon NYY NYY @ COL Home Runs 1.5 7.1 D 9.2 -5 Pending
928 Agustín Ramírez MIA MIA @ NYM Runs Batted In 0.5 7 D 9.2 -5 Pending
929 Esteury Ruiz MIA MIA @ NYM Runs Batted In 0.5 7 D 9.2 -5 Pending
930 Jakob Marsee MIA MIA @ NYM Runs Batted In 0.5 7 D 9.2 -5 Pending
931 Jared Serna MIA MIA @ NYM Runs Batted In 0.5 7 D 9.2 -5 Pending
932 Jake Mangum CWS CWS @ PIT Runs 0.5 6.8 D 9.2 -5 Pending
933 Casey Mize SD SD @ WSH Strikeouts 4.5 6.7 D 10.6 -5 Pending
934 Francisco Alvarez MIA MIA @ NYM Runs 0.5 6.7 D 9.2 -5 Pending
935 Konnor Griffin CWS CWS @ PIT Runs Batted In 0.5 6.5 D 9.2 -5 Pending
936 Chase Meidroth CWS CWS @ PIT Runs 0.5 6.5 D 9.2 -5 Pending
937 Jacob Gonzalez CWS CWS @ PIT Runs 0.5 6.5 D 9.2 -5 Pending
938 Kyle Teel CWS CWS @ PIT Runs 0.5 6.5 D 9.2 -5 Pending
939 Munetaka Murakami CWS CWS @ PIT Runs 0.5 6.5 D 9.2 -5 Pending
940 Nick Gonzales CWS CWS @ PIT Runs 0.5 6.5 D 9.2 -5 Pending
941 Chase DeLauter BAL BAL @ CLE Runs 0.5 6.5 D 9.2 -5 Pending
942 Coby Mayo BAL BAL @ CLE Runs Batted In 0.5 6.5 D 9.2 -5 Pending
943 Sam Antonacci CWS CWS @ PIT Total Bases 1.5 6.5 D 9.2 -5 Pending
944 Alejandro Kirk OAK OAK @ TOR Home Runs 1.5 6.4 D 9.2 -5 Pending
945 Alika Williams OAK OAK @ TOR Home Runs 1.5 6.4 D 9.2 -5 Pending
946 Esteury Ruiz MIA MIA @ NYM Runs 0.5 6.4 D 9.2 -5 Pending
947 Jared Serna MIA MIA @ NYM Runs 0.5 6.4 D 9.2 -5 Pending
948 Bo Bichette MIA MIA @ NYM Home Runs 2.5 6.3 D 9.2 -5 Pending
949 Francisco Lindor MIA MIA @ NYM Home Runs 2.5 6.3 D 9.2 -5 Pending
950 Heriberto Hernandez MIA MIA @ NYM Home Runs 2.5 6.3 D 9.2 -5 Pending
Showing 926–950 of 1314 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.