MLB RISP Stats
Runners in Scoring Position • 2026 Season
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> MLB runners in scoring position (RISP) statistics for all 30 teams and individual players during the 2026 season. This report covers RISP plat appearances, hits, RBI, runs scored, and conversion percentages for both team offense and pitching defense. Use this data to identify clutch teams and hitters or find pitchers who struggle with runners on base.
TEAM
PA
RUNS
HITS
RBI
CONV%
New York Yankees
322
322
322
322
100%
Gerrit Cole
New York Yankees
322
322
322
322
Gerrit Cole
New York Yankees
322
322
322
322
NAME
TEAM
PA
HITS
RBI
RUNS
CONV%
Kevin Gausman
New York Yankees
322
322
322
322
100%
Gerrit Cole
New York Yankees
322
322
322
322
322
Gerrit Cole
New York Yankees
322
322
322
322
322
TEAM
PA
RUNS ALLOWED
CONV% AGAINST
New York Yankees
322
322
322
New York Yankees
322
322
322
New York Yankees
322
322
322
PITCHER
TEAM
PA
RUNS ALLOWED
CONV% AGAINST
Kevin Gausman
New York Yankees
322
322
322
New York Yankees
New York Yankees
322
322
322
New York Yankees
New York Yankees
322
322
322
Updated Apr 10, 9:00 AM
RISP Conversion: The Betting Angle Nobody Talks About
Batting average tells you how often a hitter gets a hit. RISP conversion tells you how often a team actually scores when they the chance to. Those are very different things -- and the gap between them is where betting value hides.
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A team with runners on second and third in the 4th inning of a close game is not the same as a team that consistently converts those situations into runs. I track every RISP plate appearance this season: how many a team gets, how many result in runs, and what the conversion rate looks like at the team and individual level.
What The 2026 Data Shows So Far
Arizona leads all MLB teams with an 86.1 RISP conversion rate through the first month of the season -- 118 runs scored from 137 RISP plate appearances. Baltimore is right behind at 81.9%. At the bottom, some teams are stranding baserunners at a rate that should be suppressing their run totals relative to what the market expects.
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The player-level table is where it gets really useful for props and same-game parlays. A hitter with a 40%+ RISP conversion rate over 30+ plate appearances is demonstrably clutch in ways that RBI totals don't capture on their own.
How I Use RISP Data To Bet Totals
When a high-conversion team is facing a pitcher with a strong NRFI% and good strand rate, I'm fading the OVER. When a low-conversion team is playing at home in a hitter's park against a starter who gives up a lot of traffic, the total might be suppressed by the offense's own inefficiency rather than the pitchign quality.
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RISP data alone won't give you a winner. Paired with pitching matchups and the live betting checkpoint data, it rounds out a complete picture of a game's run environment.
Why This Data Isn't Widely Available
Most public baseball analytics sites report RISP batting average -- what individual hitters hit with runners in scoring position. That's player-level. What I built here is a team-level run-scoring efficiency tracker built from raw play-by-play data going back to Opening Day. Im not aware of another free site presenting RISP conversion at this level of granularity as a betting tool.
Related Reports
MLB Trends -- batter, pitcher and team season trends in full context.
MLB Live Betting Report -- scoring environment situational records
MLB NRFI Trends -- first-inning scoring specifically