MLB ATS Radar
ATS (Against The Spread) tracks how often a team covers the run line 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 run lines, margins, defense, ATS trends, H2H, and injuries to find the strongest cover plays. View all matchups →
Analyzing run lines & ATS trends...
Defense: rank , rank .
ATS: at home · on road
L10 ATS Trend: ·
H2H: Last meeting (): ·
L10 trend: games , games .
Injuries: missing , missing
Today's Games
ATS Power Rankings
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ATS Matchup Analyzer
Proprietary Edge AlgorithmAway Team
Home Team
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What is Against the Spread (ATS)?
Against the Spread (ATS) measures how often a team "covers" the run line set by oddsmakers. Unlike straight win/loss records, ATS accounts for the expected margin of victory.
Yankees -1.5 vs Red Sox → Yankees win by 3 → Yankees cover (won by more than 1.5)
Yankees -1.5 vs Red Sox → Yankees win by 1 → Yankees don't cover (won, but by less than 1.5)
With a 162-game season, MLB run lines reveal consistent patterns. Teams with strong ATS records—especially as underdogs—can be highly profitable.
O/U Season Rankings
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No O/U data available yet for this season.
| # | Team | Season O/U | Over % | Home O/U | Road O/U |
|---|---|---|---|---|---|
Over/Under Radar
Analyzing pitching, scoring splits & totals...
No MLB games with totals found for today.
The score runs per game at home and allow (ranked defensively). The score runs per game on the road and give up (ranked ). Our model projects combined runs (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 pitching/defense , while rank . Both pitching staffs are elite — strong signal for the under. Neither team pitches well — that favors the over.
Recent form: Over the last 10 games, have been averaging combined runs , while have been at combined runs .
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 runs . 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 -run 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.
ATS Radar
Analyzing run lines, defense & ATS trends...
No MLB games with spreads found for today.
The score runs per game at home and allow (ranked defensively). The score runs per game on the road and give up (ranked ). Our model projects combined runs (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 pitching/defense , while rank . Both pitching staffs are elite — strong signal for the under. Neither team pitches well — that favors the over.
Recent form: Over the last 10 games, have been averaging combined runs , while have been at combined runs .
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 runs . 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 -run 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.
