NCAAB ATS Radar
ATS (Against The Spread) tracks how often a team covers the point spread set by sportsbooks. A team with a strong ATS record is beating expectations — useful for finding value bets.
Over/Under (O/U) tracks the total combined score of both teams. Sportsbooks set a line and you bet whether the actual total goes over or under that number.
Best ATS Matchups Today
Our 6-factor model analyzes spreads, margins, defense, ATS trends, H2H, and injuries to find the strongest cover plays. View all matchups →
Analyzing spreads & ATS trends...
Offense: rank , rank .
Defense: rank , rank .
ATS: at home · on road
L10 ATS Trend: ·
H2H: Last meeting (): ·
L10 trend: games , games .
Injuries: missing , missing
All Today's Games
ATS Power Rankings
Loading rankings...
ATS Matchup Analyzer
Proprietary Edge AlgorithmAway Team
Home Team
O/U Season Rankings
Loading O/U rankings...
No O/U data available yet for this season.
| # | Team | Season O/U | Over % | Home O/U | Road O/U |
|---|---|---|---|---|---|
Over/Under Radar
Analyzing pace, defense, splits & totals...
No NCAAB games with totals found for today.
No matchups match your search.
The score points per game at home and allow (ranked defensively). The score points per game on the road and give up (ranked ). Our model projects combined points (offense) and (defense). The line is set at . That's above the line — the numbers lean over. That's below the line — the numbers lean under. That's right on the line — no clear lean from the numbers alone.
Defensive matchup: rank in defense , while rank . Both defenses are elite — strong signal for the under. Neither team plays great defense — that favors the over.
Recent form: Over the last 10 games, have been averaging combined points , while have been at combined points .
O/U track record: are on the over/under this season . are . Both teams trend over on the season — adds to the over case. Both teams trend under on the season — adds to the under case.
Positional O/U context: home games average combined points . road games average combined . Both teams' positional averages project above the line. Both teams' positional averages project below the line.
Fatigue factor: Both teams played yesterday (back-to-back). Tired teams tend to generate fewer quality at-bats and scoring chances, which historically pushes games under the total. played yesterday and are on the back half of a back-to-back. Fatigue can reduce offensive output, which leans toward the under. played yesterday and are on the back half of a back-to-back. Road fatigue can reduce run scoring, which leans toward the under.
Injury factor: are without , on the injured list. are without , on the injured list. Our model estimates a -point reduction from these absences.
Public betting: of tickets are on the over and of money is on the over. The public is loading up on the over, but the sharp money leans under — fading the public here may have value. Few tickets are on the over, but big money is — professional bettors appear to be backing the over. Tickets and money are roughly aligned — no clear sharp vs. public divergence on the total. Sharp money signal: .
The projected total is very close to the posted line. Our data doesn't show a clear edge either way — this one could go either direction.
Loading ATS data...
What is Against the Spread (ATS)?
Against the Spread (ATS) measures how often a team "covers" the point spread set by oddsmakers. Unlike straight win/loss records, ATS accounts for the expected margin of victory.
Duke -7.5 vs Wake Forest → Duke wins by 10 → Duke covers (won by more than 7.5)
Duke -7.5 vs Wake Forest → Duke wins by 5 → Duke doesn't cover (won, but by less than 7.5)
With 370+ teams, NCAAB offers massive spreads and sharp opportunities. Teams with consistent ATS records—especially as underdogs or favorites—reveal exploitable patterns that oddsmakers sometimes miss.
ATS Radar
Analyzing spreads, defense & ATS trends...
No NCAAB games with spreads found for today.
The score points per game at home and allow (ranked defensively). The score points per game on the road and give up (ranked ). Our model projects combined points (offense) and (defense). The line is set at . That's above the line — the numbers lean over. That's below the line — the numbers lean under. That's right on the line — no clear lean from the numbers alone.
Defensive matchup: rank in defense , while rank . Both defenses are elite — strong signal for the under. Neither team plays great defense — that favors the over.
Recent form: Over the last 10 games, have been averaging combined points , while have been at combined points .
O/U track record: are on the over/under this season . are . Both teams trend over on the season — adds to the over case. Both teams trend under on the season — adds to the under case.
Positional O/U context: home games average combined points . road games average combined . Both teams' positional averages project above the line. Both teams' positional averages project below the line.
Fatigue factor: Both teams played yesterday (back-to-back). Tired teams tend to generate fewer quality at-bats and scoring chances, which historically pushes games under the total. played yesterday and are on the back half of a back-to-back. Fatigue can reduce offensive output, which leans toward the under. played yesterday and are on the back half of a back-to-back. Road fatigue can reduce run scoring, which leans toward the under.
Injury factor: are without , on the injured list. are without , on the injured list. Our model estimates a -point reduction from these absences.
Public betting: of tickets are on the over and of money is on the over. The public is loading up on the over, but the sharp money leans under — fading the public here may have value. Few tickets are on the over, but big money is — professional bettors appear to be backing the over. Tickets and money are roughly aligned — no clear sharp vs. public divergence on the total. Sharp money signal: .
The projected total is very close to the posted line. Our data doesn't show a clear edge either way — this one could go either direction.
