📡 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 |
← Aug 4 →
Wins
0
Losses
0
Push
6
Win %
0%
Pending
0
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 Sat 10/3
Sport: All NBA MLB NFL WNBA
Stat:
🤖 AI Plays
1
TORONTO TEMPO @ GSV WNBA
Rebounds 3.5 OVER
62.3 C+
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
20.7
Fit
5
2
TORONTO TEMPO @ GSV WNBA
Points 10.5 OVER
57.9 C+
  • Heavy minutes projection
  • Stable player role
Raw
51
Clean
21.5
Fit
4
3
TORONTO TEMPO @ GSV WNBA
Rebounds 4.5 OVER
56.2 C
  • Heavy minutes projection
  • Stable player role
Raw
35
Clean
22.9
Fit
5
4
TORONTO TEMPO @ GSV WNBA
Points 10.5 OVER
56.2 C
  • Heavy minutes projection
  • Stable player role
Raw
48
Clean
21.2
Fit
4

📋 Full Board (1435 picks · Page 55/58)

#ActionPickMatchupTypeLine ScoreTierCleanFit Result
1351 Carlos Cortes OAK OAK @ ATHLETICS@ Total Bases 1.5 1.6 D 9.2 -5 Pending
1352 Carson Benge NYM NYM @ CLE Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1353 Chase Meidroth CWS CWS @ BOS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1354 Christian Koss SF SF @ TEX Runs 1.5 1.6 D 9.2 -5 Pending
1355 Christian Koss SF SF @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1356 Christian Yelich MIL PIT @ MIL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1357 Corey Seager TEX SF @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1358 Dansby Swanson CHC LAD @ CHC Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1359 David Hamilton MIL PIT @ MIL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1360 Dominic Canzone SEA DET @ SEA Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1361 Donovan Walton OAK OAK @ ATHLETICS@ Runs 1.5 1.6 D 9.2 -5 Pending
1362 Drew Gilbert SF SF @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1363 Drew Romo CWS CWS @ BOS Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1364 Eric Wagaman NYM NYM @ CLE Runs 1.5 1.6 D 9.2 -5 Pending
1365 Eric Wagaman NYM NYM @ CLE Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1366 Eugenio Suarez CIN CIN @ ATHLETICS@ Runs 1.5 1.6 D 9.2 -5 Pending
1367 Eugenio Suarez CIN CIN @ ATHLETICS@ Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1368 Fernando Tatis Jr. SD SD @ ARI Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1369 Grant McCray SF SF @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1370 Isaac Collins KC MIN @ KC Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1371 Ivan Herrera STL STL @ NYY Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1372 Jackson Chourio MIL PIT @ MIL Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1373 Jake Burger TEX SF @ TEX Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1374 Jazz Chisholm Jr. NYY STL @ NYY Runs Batted In 1.5 1.6 D 9.2 -5 Pending
1375 Jeff McNeil OAK OAK @ ATHLETICS@ Runs 1.5 1.6 D 9.2 -5 Pending
Showing 1351–1375 of 1435 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.