📡 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 17 →
Wins
4
Losses
2
Win %
66.7%
Pending
0
Sun 10/18 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
ATL @ TORONT WNBA
Rebounds 3.5 OVER
72.2 B
  • Heavy minutes projection
  • Stable player role
Raw
58
Clean
28.2
Fit
5
2
ATL @ TORONT WNBA
Assists 7.5 OVER
70.3 B
  • Heavy minutes projection
  • Stable player role
Raw
57
Clean
28.4
Fit
5
3
LA @ CHI WNBA
Assists 2.5 OVER
67.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
22.9
Fit
5
4
SEA @ IND WNBA
Points 22.5 OVER
67.3 B-
  • Heavy minutes projection
  • Stable player role
Raw
66
Clean
23.5
Fit
4

📋 Full Board (1448 picks · Page 45/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1101 Ceddanne Rafaela AL TB @ BOS Hits 1.5 5.1 D 10.3 -5 Pending
1102 Jonah Heim OAK WSH @ OAK Total Bases 1.5 5.1 D 10.3 -5 Pending
1103 Lourdes Gurriel Jr. AZ STL @ ARI Total Bases 1.5 5.1 D 10.3 -5 Pending
1104 Michael Harris II ATL TEX @ ATL Hits 1.5 5.1 D 10.3 -5 Pending
1105 Mookie Betts LAD LAD @ NYY Total Bases 1.5 5.1 D 10.3 -5 Pending
1106 Pete Crow-Armstrong NL MIN @ CHC Hits 1.5 5.1 D 10.3 -5 Pending
1107 Shea Langeliers AL WSH @ OAK Hits 1.5 5.1 D 10.3 -5 Pending
1108 Fernando Tatis Jr. SD SD @ KC Home Runs 0.5 4.9 D 9.2 -5 Pending
1109 Gavin Sheets SD SD @ KC Hits 0.5 4.9 D 9.2 -5 Pending
1110 Jackson Merrill SD SD @ KC Home Runs 0.5 4.9 D 9.2 -5 Pending
1111 Jase Bowen SD SD @ KC Home Runs 0.5 4.9 D 9.2 -5 Pending
1112 Miguel Andujar SD SD @ KC Home Runs 0.5 4.9 D 9.2 -5 Pending
1113 Dominique Malonga SEA @ IND Assists 1.5 4.8 D 0.8 -5 Pending
1114 Alan Roden MIN MIN @ CHC Total Bases 1.5 4.8 D 9.2 -5 Pending
1115 Brewer Hicklen ATL TEX @ ATL Total Bases 1.5 4.8 D 9.2 -5 Pending
1116 Bryan Torres STL STL @ ARI Total Bases 1.5 4.8 D 9.2 -5 Pending
1117 Daulton Varsho TOR CWS @ TOR Total Bases 1.5 4.8 D 9.2 -5 Pending
1118 Daylen Lile WSH WSH @ OAK Total Bases 1.5 4.8 D 9.2 -5 Pending
1119 Elias Diaz TEX TEX @ ATL Total Bases 1.5 4.8 D 9.2 -5 Pending
1120 Geraldo Perdomo AZ STL @ ARI Total Bases 1.5 4.8 D 9.2 -5 Pending
1121 Hao-Yu Lee DET DET @ LAA Total Bases 1.5 4.8 D 9.2 -5 Pending
1122 Ivan Herrera NL STL @ ARI Hits 1.5 4.8 D 9.2 -5 Pending
1123 Ivan Herrera NL STL @ ARI Total Bases 1.5 4.8 D 9.2 -5 Pending
1124 Jakob Marsee MIA MIA @ MIL Total Bases 1.5 4.8 D 9.2 -5 Pending
1125 JJ Wetherholt STL STL @ ARI Total Bases 1.5 4.8 D 9.2 -5 Pending
Showing 1101–1125 of 1448 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.