📡 SCORES
🏈 Loading...

⚡ Nex Board

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

Nex Board Record
1D 7D 14D 30D |
← Jul 11 →
Wins
2
Losses
4
Win %
33.3%
Pending
0
Thu 10/22 Wed 10/21 Tue 10/20 Mon 10/19 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
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
NY @ MIN WNBA
Points 15.5 OVER
78.4 B+
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
78
Clean
29
Fit
4
2
PHX @ LV WNBA
Points 20.5 OVER
73.3 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
77
Clean
23.7
Fit
4
3
PHX @ LV WNBA
Points 17.5 OVER
69.1 B
  • Projected edge vs line
  • Heavy minutes projection
  • Stable player role
Raw
62
Clean
27.9
Fit
4
4
PHX @ LV WNBA
Rebounds 6.5 OVER
68.4 B-
  • Heavy minutes projection
  • Stable player role
Raw
60
Clean
22.7
Fit
5

📋 Full Board (1465 picks · Page 49/59)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1201 Jackson Merrill SD TOR @ SD Home Runs 0.5 4.9 D 9.2 -5 Pending
1202 Jacob Wilson OAK OAK @ ATHLETICS@ Home Runs 0.5 4.9 D 9.2 -5 Pending
1203 Jacob Wilson OAK OAK @ ATHLETICS@ Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1204 Jeff McNeil OAK OAK @ ATHLETICS@ Home Runs 0.5 4.9 D 9.2 -5 Pending
1205 Joey Meneses OAK OAK @ ATHLETICS@ Home Runs 0.5 4.9 D 9.2 -5 Pending
1206 Lawrence Butler OAK OAK @ ATHLETICS@ Home Runs 0.5 4.9 D 9.2 -5 Pending
1207 Lawrence Butler OAK OAK @ ATHLETICS@ Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1208 Miguel Andujar SD TOR @ SD Home Runs 0.5 4.9 D 9.2 -5 Pending
1209 Shea Langeliers OAK OAK @ ATHLETICS@ Home Runs 0.5 4.9 D 9.2 -5 Pending
1210 Shea Langeliers OAK OAK @ ATHLETICS@ Runs 0.5 4.9 D 9.2 -5 Pending
1211 Sung-Mun Song SD TOR @ SD Home Runs 0.5 4.9 D 9.2 -5 Pending
1212 Ty France SD TOR @ SD Runs 0.5 4.9 D 9.2 -5 Pending
1213 Ty France SD TOR @ SD Runs Batted In 0.5 4.9 D 9.2 -5 Pending
1214 Alec Bohm PHI PHI @ DET Total Bases 1.5 4.8 D 9.2 -5 Pending
1215 Alejandro Kirk TOR TOR @ SD Total Bases 1.5 4.8 D 9.2 -5 Pending
1216 Alex Bregman CHC CHC @ CIN Hits 1.5 4.8 D 9.2 -5 Pending
1217 Cam Smith HOU HOU @ TEX Total Bases 1.5 4.8 D 9.2 -5 Pending
1218 Colt Emerson SEA SEA @ TB Total Bases 1.5 4.8 D 9.2 -5 Pending
1219 Corbin Carroll AZ ARI @ LAD Total Bases 1.5 4.8 D 9.2 -5 Pending
1220 Daylen Lile WSH NYY @ WSH Total Bases 1.5 4.8 D 9.2 -5 Pending
1221 Lars Nootbaar STL ATL @ STL Total Bases 1.5 4.8 D 9.2 -5 Pending
1222 Mickey Moniak COL COL @ SF Total Bases 1.5 4.8 D 9.2 -5 Pending
1223 Randal Grichuk CWS CWS @ ATHLETICS@ Total Bases 1.5 4.8 D 9.2 -5 Pending
1224 Ryan Kreidler MIN LAA @ MIN Total Bases 1.5 4.8 D 9.2 -5 Pending
1225 Yordan Alvarez HOU HOU @ TEX Hits 1.5 4.8 D 9.2 -5 Pending
Showing 1201–1225 of 1465 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.