NBA 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...
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ATS Power Rankings
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ATS Matchup Analyzer
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📖 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.
Lakers -7.5 vs Wizards → Lakers win by 10 → Lakers cover (won by more than 7.5)
Lakers -7.5 vs Wizards → Lakers win by 5 → Lakers don't cover (won, but by less than 7.5)
A team can have a great win-loss record but poor ATS record if they frequently win by less than expected. ATS reveals which teams consistently beat expectations—valuable for spread betting.
Over/Under Radar
Analyzing defense, scoring splits & totals...
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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.
O/U Season Rankings
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| # | Team | O/U Record | Over % | PPG | Opp PPG | Avg Combined |
|---|---|---|---|---|---|---|
Scoring Trends
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| # | Team | Avg Combined | Home Combined | Road Combined | PPG | Opp PPG | O/U Record |
|---|---|---|---|---|---|---|---|
ATS Radar
Analyzing spreads, defense & ATS trends...
No NBA 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.
