Home Advantage, Measured Across 41,000 Games

“Home court matters” is one of those things everyone agrees on and almost no one quantifies. So we pulled every completed game in our history database across four sports — 41,019 games total — and measured exactly how much the home team wins, and by how much.

What we measured

For each sport we computed two numbers across every graded game in our database: home win percentage (straight up, ignoring the spread) and average home margin of victory (home score minus away score, including losses). This is not a betting-value question yet — it’s just “how often, and by how much, does the home team actually win.” We get to what it means for betting below.

The spread across sports is enormous. College basketball’s home team wins two out of every three games; MLB’s home team is barely above a coin flip.

Why college basketball is an outlier

A 66.6% home win rate across 30,933 games isn’t noise — that sample is large enough that the number is a real, stable feature of the sport, not a quirk of one season. A few things compound in NCAAB that don’t exist, or exist less, elsewhere:

• Crowds are louder relative to the room. A sold-out 8,000-seat campus arena is louder per player, per possession, than a 20,000-seat NBA arena, and road teams are frequently outnumbered by a much larger margin than in pro sports.
• The players are 18–22 years old. Composure under hostile road environments is a skill that develops with experience; college rosters turn over constantly and rarely have it.
• Travel and scheduling are lopsided. Mid-week road games after long bus or short-hop flights, unfamiliar officiating crews, and true buy-games (a home team padding its schedule against an overmatched visitor) all push the number up. Some of that 66.6% is talent mismatch dressed up as home-court effect — our model tries to separate the two (more below).

NBA rosters are older, travel is chartered and consistent, and 82-game schedules average out scheduling noise — hence a much smaller, but still real, 55.5% home win rate over 7,279 games.

Why NHL and MLB look almost even

NHL (51.9%, n=1,394) and MLB (52.2%, n=1,413) are both barely above 50%. Two honest caveats belong right here, because burying them would be dishonest:

These are single-season samples. Unlike the NCAAB and NBA numbers, which span multiple years of history, our NHL and MLB coverage is younger — one season’s worth of games. A 52% home win rate over ~1,400 games has a wider error band than a 66.6% rate over 30,933 games. Treat the MLB and NHL figures as an early read, not a settled constant, and expect them to move as more seasons accumulate.

Schedule composition matters. In a single season, injuries, trades, and which teams happened to be good cluster unevenly between home and road splits in ways that average out over many years but don’t necessarily average out in one. We’re not claiming MLB home-field advantage is “basically nothing” as a permanent fact — we’re reporting what one season of our data shows and flagging that the sample is thinner than we’d like.

That said, it lines up with the general sports-analytics consensus that baseball’s home advantage is the smallest of the major sports — a starting pitcher’s individual performance dominates game outcomes far more than crowd or travel effects do.

The part that actually matters for betting: HFA is already priced in

Here is the mistake this data can lead you into if you stop reading at the table above: home win percentage is not betting value. The sportsbook already knows the home team wins more often, and it bakes that into the spread before the line is ever posted. A team that’s 5 points better than its opponent on a neutral floor is often favored by 8–9 points at home in college basketball, precisely because the market is pricing in a home-court effect similar to what we measured.

Our model does the same thing, using home-court-advantage priors as a baseline input before any team-specific adjustment: 3.5 points for NCAAB, 3.0 points for NBA, and 0.28 runs for MLB. Those aren’t the same as the raw average margins above — they’re calibrated priors used inside a larger feature set (team ratings, injuries, situational factors), not a stand-alone prediction. See how our model works for the full feature list.

The practical takeaway: betting “home team” because home teams win more often is not a strategy — it’s a fact the line already reflects. The only way home-court advantage becomes an edge is if you believe the market is mispricing it for a specific game (a raucous rivalry environment, a road team on the second night of a back-to-back, a genuine mismatch in situational factors). Our results page tracks how our picks — which weigh home-court advantage alongside dozens of other features — have actually performed against the closing line, not just against a hunch.

What this means for your betting

• Don’t bet “home team” as a rule. The market has priced the average effect in; your edge has to come from somewhere the market is wrong, not from the base rate itself.
• College basketball’s home effect is the strongest in our data by a wide margin — 66.6% straight-up over 30,933 games — but so is the spread the market sets to compensate.
• Treat MLB and NHL home-field numbers as provisional. One season is a start, not a verdict; we’ll revisit these once more seasons are in the database.
• Home-court advantage is one input among many, not a standalone signal — our model uses it as a prior, then layers team form, injuries, and situational context on top.

All figures from the SharpBetz history database: all completed games through July 2026 for each sport. NCAAB n=30,933, NBA n=7,279, NHL n=1,394, MLB n=1,413. NHL and MLB samples cover a single season and carry wider variance than the multi-season NCAAB and NBA figures; treat accordingly. The -110 vig breakeven referenced elsewhere on this site is 52.38%, for context on how thin real edges are even in sports with clear home advantages.