📡 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 |
← Jul 16 – Jul 29 →
Wins
42
Losses
28
Push
13
Win %
60%
Pending
0
Sat 10/17 Fri 10/16 Thu 10/15 Wed 10/14 Tue 10/13 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
ATL @ DAL WNBA
Points 14.5 OVER
73 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
23.1
Fit
4
2
ATL @ DAL WNBA
Assists 8.5 OVER
70.7 B
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
28.4
Fit
5
3
GSV @ PHX WNBA
Rebounds 7.5 OVER
67.7 B-
  • Heavy minutes projection
  • Stable player role
Raw
49
Clean
28.2
Fit
5
4
ATL @ DAL WNBA
Points 11.5 OVER
65.8 B-
  • Heavy minutes projection
  • Stable player role
Raw
55
Clean
28.1
Fit
4

📋 Full Board (1449 picks · Page 38/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
926 Yohendrick Pinango TOR TOR @ WSH Total Bases 1.5 4.5 D 9.2 -5 Pending
927 Yordan Alvarez HOU HOU @ LAA Total Bases 2.5 4.5 D 9.2 -5 Pending
928 Grayson Rodriguez LAA HOU @ LAA Strikeouts 5.5 4.3 D 10.5 -5 Pending
929 Jose Altuve HOU HOU @ LAA Total Bases 2.5 3.8 D 9.2 -5 Pending
930 Davis Martin CWS NYY @ CWS Strikeouts 6.5 3.7 D 11.5 -5 Pending
931 Yandy Diaz TB TEX @ TB Total Bases 2.5 3.5 D 9.2 -5 Pending
932 A.J. Ewing NYM ATL @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
933 Adrian Del Castillo AZ ARI @ PIT Home Runs 0.5 3.2 D 9.2 -5 Pending
934 Alec Bohm PHI PHI @ MIA Home Runs 0.5 3.2 D 9.2 -5 Pending
935 Alec Burleson STL CHC @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
936 Alejandro Osuna TEX TEX @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
937 Alika Williams OAK BOS @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
938 Andres Gimenez TOR TOR @ WSH Home Runs 0.5 3.2 D 9.2 -5 Pending
939 Andrew Benintendi CWS NYY @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
940 Andrew Velazquez KC KC @ MIN Home Runs 0.5 3.2 D 9.2 -5 Pending
941 Andruw Monasterio BOS BOS @ OAK Home Runs 0.5 3.2 D 9.2 -5 Pending
942 Andy Pages LAD SEA @ LAD Home Runs 0.5 3.2 D 9.2 -5 Pending
943 Angel Martinez CLE CLE @ CIN Home Runs 0.5 3.2 D 9.2 -5 Pending
944 Austin Riley ATL ATL @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
945 Austin Riley ATL ATL @ NYM Runs 0.5 3.2 D 9.2 -5 Pending
946 Ben Malgeri DET BAL @ DET Home Runs 0.5 3.2 D 9.2 -5 Pending
947 Ben Williamson TB TEX @ TB Home Runs 0.5 3.2 D 9.2 -5 Pending
948 Blaze Jordan STL CHC @ STL Home Runs 0.5 3.2 D 9.2 -5 Pending
949 Bo Bichette NYM ATL @ NYM Home Runs 0.5 3.2 D 9.2 -5 Pending
950 Braden Montgomery CWS NYY @ CWS Home Runs 0.5 3.2 D 9.2 -5 Pending
Showing 926–950 of 1449 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.