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Runs Scored Props
Crossing the plate takes two things to go right — why a runs prop is more about the lineup than the hitter.
A runs scored prop is an over/under on how often a hitter scores — gets on base and comes around to touch home — usually Runs 0.5. It rewards getting on base, but the finish is up to teammates.
A two-step event
Scoring requires reaching base andthen being driven in (or hitting a home run to do it yourself). That second step depends on the hitters behind you, the inning’s sequence, and a bit of base-running luck — so like RBIs, runs are a context stat, not a clean skill stat.
What nudges it
- On-base ability — you can’t score without reaching first.
- Lineup spot — leadoff and top-of-order hitters get more plate appearances and more bats behind them, so they score most.
- The bats behind you — power hitters following you turn singles into runs.
- Opposing pitcher & park — the broader run environment.
Why we don’t value-rank it
Runs are lumpy and teammate-driven, so converting a projection into a win probability overstates the chance and produces phantom edges. We keep runs (and RBIs) off the value-ranked edge boardon purpose. Scoring signal lives at the team level — a team’s run total is far steadier than any one hitter’s run line.
If you bet it anyway
Use the runs page as research — lineup spot, on-base skill, and the matchup — and respect the variance (variance and sample size). Size sensibly with bankroll management. It’s analysis, not advice.
Frequently asked
What is a runs scored prop?
It's an over/under on how many times a hitter crosses the plate to score — typically Runs 0.5 (will they score at least once). It counts the runner, not the batter who drove them in.
What drives a runs projection?
Two steps have to happen: the hitter has to get on base, and then teammates behind them have to drive them in (or they homer). So on-base skill, lineup spot (top-of-order hitters score most), and the bats behind them all matter.
Do you rank runs props for value?
No — like RBIs, runs are lumpy and depend heavily on teammates and sequencing, so a simple model overstates them. We surface runs for context but keep them off the value-ranked edge board; scoring is far steadier at the team level than through any single player's run line.