📡 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 25 →
Wins
1
Losses
4
Push
1
Win %
20%
Pending
0
Record based on top 6 Nex Board prop picks daily (all sports), ranked by card score.
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 Thu 9/24
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
Hunter Brown
HOU HOU @ OAK MLB
Strikeouts 5.5 OVER
53.3 C
  • Heavy minutes projection
  • Stable player role
Raw
63
Clean
22.2
Fit
0
2
Andrew Alvarez
WSH NYM @ WSH MLB
Strikeouts 4.5 OVER
51.1 C
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
22.1
Fit
0
3
Zack Gelof
OAK HOU @ OAK MLB
Hits 0.5 OVER
49.2 D
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
21.9
Fit
0
4
Mauricio Dubon
ATL ATL @ MIA MLB
Hits 0.5 OVER
47.7 D
  • Heavy minutes projection
  • Stable player role
Raw
53
Clean
21.4
Fit
0

📋 Full Board (1421 picks · Page 6/57)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
126 Mookie Betts LAD LAD @ SF Total Bases 1.5 37.4 D 17.8 0 Pending
127 Heliot Ramos NYY BAL @ NYY Total Bases 1.5 36.8 D 18.8 0 Pending
128 Kevin McGonigle DET PIT @ DET Total Bases 1.5 36.8 D 18.8 0 Pending
129 Randy Arozarena SEA LAA @ SEA Total Bases 1.5 36.8 D 18.8 0 Pending
130 Gabriel Moreno AZ ARI @ SD Total Bases 1.5 36.8 D 19 0 Pending
131 Geraldo Perdomo AZ ARI @ SD Total Bases 1.5 36.6 D 18.6 0 Pending
132 Jose Altuve HOU HOU @ OAK Total Bases 1.5 36.1 D 18.5 0 Pending
133 Roman Anthony BOS CHC @ BOS Total Bases 1.5 36.1 D 18.5 0 Pending
134 Hao-Yu Lee DET PIT @ DET Total Bases 1.5 35.9 D 17.7 0 Pending
135 Eduardo Valencia DET PIT @ DET Hits 0.5 35.9 D 18.1 0 Pending
136 Caleb Durbin BOS CHC @ BOS Hits 0.5 35.6 D 18.3 0 Pending
137 Francisco Alvarez NYM NYM @ WSH Hits 0.5 35.6 D 18.3 0 Pending
138 Connor Norby COL COL @ CWS Hits 0.5 35.4 D 18.1 0 Pending
139 Matt Olson ATL ATL @ MIA Hits 0.5 35.4 D 18.1 0 Pending
140 Steven Kwan CLE CLE @ KC Hits 0.5 35.4 D 18.1 0 Pending
141 Mookie Betts LAD LAD @ SF Hits 1.5 35 D 18.2 0 Pending
142 Brett Harris SF LAD @ SF Hits 0.5 35 D 17.6 0 Pending
143 Turner Hill SF LAD @ SF Hits 0.5 35 D 17.6 0 Pending
144 Victor Bericoto SF LAD @ SF Hits 0.5 35 D 17.6 0 Pending
145 Victor Bericoto SF LAD @ SF Runs Batted In 0.5 35 D 17.6 0 Pending
146 Ronald Acuna Jr. ATL ATL @ MIA Runs Batted In 0.5 34.7 D 17.6 0 Pending
147 Jake McCarthy COL COL @ CWS Total Bases 1.5 34.6 D 18.8 0 Pending
148 Matt Olson ATL ATL @ MIA Total Bases 1.5 34.5 D 17.4 0 Pending
149 Alec Bohm PHI TB @ PHI Hits 0.5 34.2 D 17.8 0 Pending
150 Alika Williams OAK HOU @ OAK Hits 0.5 34.2 D 17.8 0 Pending
Showing 126–150 of 1421 picks
← Prev 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 Next →

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.