San Francisco Giants vs Dodgers Match Player Stats

San Francisco Giants vs Dodgers match player stats provide a useful way to understand this National League rivalry beyond the final score. For the September 26, 2026 matchup at Oracle Park, the supplied statistical data points to a clear contrast between the two clubs. The Dodgers enter the matchup at 80-52, while the Giants sit at 54-78. Los Angeles has also produced stronger team-wide offensive and pitching numbers, although San Francisco leads the season series 4-3 entering this game.

This matchup is especially interesting because the numbers do not tell a simple story. The Dodgers have the better overall record, higher team batting average, more runs, more home runs, a lower ERA and a substantially lower WHIP. Yet the Giants have already won four of the seven meetings between the clubs. That gap between season-long performance and head-to-head results is exactly why individual player production matters.

The statistical information below uses the real data supplied for this article. Because September 26, 2026 is still ahead of the current date, these are pregame player and team statistics, not completed game results. That distinction matters. A responsible statistical preview should never present projected or pregame numbers as though they were postgame results.

The Giants’ official schedule lists the Dodgers series at Oracle Park on September 25 through September 27, including the September 26 matchup.

Table of Contents

San Francisco Giants vs Dodgers Match Player Stats: Key Numbers

The most important numbers immediately establish the competitive landscape.

Category	Dodgers	Giants
Record	80-52	54-78
Winning Percentage	.606	.409
Team Batting Average	.258	.247
Runs	653	528
Hits	1,140	1,100
Home Runs	167	145
OBP	.335	.305
SLG	.426	.405
ERA	3.67	4.32
WHIP	1.16	1.36
Walks	408	489
Strikeouts	1,193	987
Opponent Batting Average	.217	.247
Series Record	3-4	4-3

The first major takeaway is that Los Angeles has been better on both sides of the ball over the larger sample.

The Dodgers have scored 653 runs, compared with 528 for San Francisco. That is a difference of 125 runs across the supplied season totals. Los Angeles has also hit 167 home runs against 145 for the Giants.

The pitching gap is even more noticeable. A 3.67 team ERA and 1.16 WHIP indicate that the Dodgers have generally limited baserunners and prevented scoring more effectively than San Francisco’s 4.32 ERA and 1.36 WHIP.

However, the Giants’ four wins in seven meetings demonstrate why head-to-head baseball cannot be reduced to overall standings.

Dodgers Player Stats to Watch

Several Los Angeles hitters stand out in the supplied data, but three numbers deserve particular attention: Shohei Ohtani’s power, Freddie Freeman’s batting average and the club’s overall offensive efficiency.

Shohei Ohtani

Shohei Ohtani enters the matchup listed with:

30 home runs
.287 batting average
80 RBI

The home-run total makes Ohtani one of the clearest power threats in this matchup. His .287 average also shows that his value is not limited to isolated power.

From a matchup-analysis perspective, the important question is not simply whether Ohtani hits a home run. It is whether San Francisco’s pitching can prevent him from creating high-leverage damage.

A hitter with 30 home runs can change the run expectancy of an inning with one swing. If he reaches base ahead of another dangerous hitter, however, the problem becomes larger than the home-run statistic alone.

For that reason, his plate appearances should be evaluated through several lenses:

Whether he reaches base.
Whether he sees favorable counts.
Whether San Francisco pitchers avoid predictable fastball situations.
Whether runners are already aboard.
Whether the Giants can use their bullpen effectively after the first trip through the lineup.

Freddie Freeman

Freddie Freeman is listed as the Dodgers’ batting-average leader with:

.299 batting average
.371 OBP
.458 SLG

Those figures reveal a different offensive profile from Ohtani.

Freeman’s .299 average shows consistent contact, while his .371 OBP indicates that his contribution is not limited to hits. The difference between batting average and OBP is particularly useful when assessing how often a hitter creates opportunities for the middle of a lineup.

His .458 slugging percentage also shows that the production is not purely singles-based.

That combination makes Freeman important in a different way from a traditional home-run analysis. If Ohtani represents explosive power, Freeman represents sustained offensive pressure.

Dodgers Team Offense

The Dodgers’ broader numbers reinforce the individual production.

Los Angeles has:

.258 team batting average
.335 OBP
.426 SLG
653 runs
1,140 hits
167 home runs

The .335 OBP is particularly important because it helps explain the difference between the Dodgers’ offensive output and their raw batting average.

The Dodgers have also recorded 408 walks and 1,193 strikeouts. That combination suggests an offense that has generated significant plate-discipline opportunities while also accepting strikeouts as part of an aggressive modern offensive approach.

The important analytical point is that the Dodgers’ advantage is not based on one statistic. It is distributed across contact, reaching base, power and run production.

Giants Player Stats to Watch

The Giants enter this game with weaker team-wide numbers, but their lineup contains individual players capable of narrowing that gap.

Rafael Devers

Rafael Devers is listed as San Francisco’s home-run leader with:

28 home runs
.244 batting average
74 RBI

The 28 home runs are only two behind Ohtani’s supplied total of 30.

That comparison is useful because it shows that the difference in team performance cannot simply be explained by the Giants lacking individual power.

Devers has already supplied substantial run-producing ability. His 74 RBI indicate that he has been an important part of the Giants’ offensive output even though the club’s overall run total trails Los Angeles by 125.

The larger issue for San Francisco is offensive depth.

If Devers produces but the hitters around him cannot consistently reach base, his opportunities to drive in runs become limited. Conversely, if the Giants can create traffic before his plate appearances, his power becomes much more consequential.

Jung Hoo Lee

Jung Hoo Lee leads the Giants in batting average in the supplied data:

.289 batting average
.325 OBP
.423 SLG

Lee’s .289 average is only eight points below Freeman’s .299.

That is an important reminder that San Francisco has individual contact ability despite its lower team batting average.

The more revealing statistic may be the difference between Lee’s .289 average and .325 OBP. The relatively narrow gap indicates that his offensive profile in the supplied dataset is driven more heavily by hits than by walks or other methods of reaching base.

That does not make his production less valuable. Instead, it means the Giants may benefit significantly when Lee can start innings or create early traffic.

Giants Team Offense

San Francisco’s supplied offensive totals are:

.247 team batting average
.305 OBP
.405 SLG
528 runs
1,100 hits
145 home runs

The Giants have 40 fewer home runs than Los Angeles and 125 fewer runs.

The difference between the clubs’ .335 and .305 OBP is also meaningful. A 30-point team OBP gap can create many additional baserunners over a full season, especially when combined with differences in slugging.

The Giants have drawn 489 walks, which is actually more than the Dodgers’ 408.

That creates an interesting statistical contradiction.

San Francisco has taken more walks but has still produced a lower OBP. This means the overall offensive gap cannot be explained simply by walk generation. The Giants’ lower batting average and lower slugging percentage also contribute substantially to the difference.

Comparing the Two Lineups

When comparing the two teams, it is useful to separate individual star power from lineup depth.

The Dodgers have the advantage in the major team batting categories:

Batting average: .258 to .247
OBP: .335 to .305
SLG: .426 to .405
Runs: 653 to 528
Home runs: 167 to 145

The differences are not enormous in every category, but they accumulate.

A 12-point batting-average advantage, a 30-point OBP advantage and a 21-point slugging advantage combine to create a meaningful difference in run-scoring potential.

The Giants, meanwhile, have enough individual production to make the matchup competitive.

Ohtani has 30 home runs compared with Devers’ 28. Freeman’s .299 batting average is only slightly higher than Lee’s .289.

This is why individual player statistics should be interpreted in context.

A team’s strongest individual players do not always belong to the team with the better record. Baseball is a nine-player lineup sport supported by pitching, defense, baserunning and bullpen management.

Pitching Statistics Could Decide the Game

The biggest statistical separation between these clubs may be on the pitching side.

The Dodgers have a:

3.67 ERA
1.16 WHIP
.217 opponent batting average

The Giants have a:

4.32 ERA
1.36 WHIP
.247 opponent batting average

That is a substantial difference.

ERA Comparison

The 3.67 versus 4.32 ERA gap means the Dodgers have allowed considerably less scoring over the supplied season sample.

ERA is not a perfect measure of pitching quality because it is influenced by defense, sequencing and other factors. Still, when ERA and WHIP point in the same direction, the signal becomes more convincing.

Here, both measures favor Los Angeles.

WHIP Comparison

WHIP measures walks and hits allowed per inning.

The Dodgers’ 1.16 WHIP is considerably better than the Giants’ 1.36.

That matters because limiting baserunners reduces the number of opportunities an opposing lineup gets to create big innings.

A home run with nobody on base produces one run.

A home run following two walks and a single can produce four.

That is why baserunner prevention is so important when analyzing a matchup between two clubs with significant home-run power.

Opponent Batting Average

The Dodgers’ .217 opponent batting average is another major advantage.

The Giants’ .247 opponent batting average is 30 points higher.

That difference reinforces the WHIP and ERA story. Los Angeles has not merely prevented runs through favorable sequencing. Its pitchers have also limited opposing hitters’ batting production more effectively in the supplied statistics.

The Head-to-Head Record Changes the Story

The Dodgers’ 80-52 record makes them the stronger team by season-long results.

Yet the Giants lead the series 4-3.

That is arguably the most important contextual statistic in the matchup.

If the teams had identical head-to-head records, it would be easier to argue that the Dodgers’ season profile should dominate expectations. But San Francisco has already demonstrated that it can beat Los Angeles.

This is where sample size matters.

Seven games represent meaningful head-to-head evidence, but they are still a small sample compared with 132 total games played by each team in the supplied dataset.

A seven-game series can be influenced by:

Starting-pitcher matchups
Bullpen availability
Defensive mistakes
One-run games
Home-field conditions
Injuries
Short-term hitting streaks
Extra-inning outcomes

Therefore, the 4-3 series advantage should be treated as relevant context rather than proof that the Giants are the better team.

Recent Form Favors Los Angeles

The supplied data lists the Dodgers at 4-1 across their most recent five listed games.

The Giants are 2-3.

That creates another advantage for Los Angeles entering the matchup.

Recent form should not be overvalued. Five games are a tiny sample in a 162-game baseball season.

Still, recent performance can provide useful context when combined with injuries and pitching workload.

A team playing well can enter a series with greater confidence, but the more important question is whether its underlying performance supports that recent run.

In this case, the Dodgers’ strong season-long record, better offensive statistics and better pitching statistics already support the idea that their recent 4-1 form is not occurring in isolation.

Injury Context

The supplied injury list includes several players on each side.

Dodgers Injuries

The listed Dodgers injuries are:

Bobby Miller
Blake Treinen
Ben Casparius
Will Klein
Will Smith

These absences can matter differently depending on position and role.

A starting pitcher being unavailable affects the matchup differently from a bullpen arm. Likewise, an everyday position player can influence both lineup depth and defensive alignment.

Will Smith’s absence, if applicable to the game-day lineup, would be particularly relevant because catcher availability can affect both offense and the pitching staff.

However, injury lists can change quickly. A player listed as injured before a game can sometimes return, while another player can be added shortly before first pitch.

For that reason, these names should be checked against the final official lineup before treating them as confirmed game absences.

Giants Injuries

The supplied Giants injury list includes:

Jesus Rodriguez
Bryce Eldridge
Marcelo Mayer
Adrian Houser
Matt Gage

The potential impact similarly depends on role and availability.

For a statistical preview, injuries should not automatically be translated into predicted runs or wins. The correct approach is to identify which parts of the roster may be affected and then compare the available replacements.

What the Numbers Say About the Matchup

The statistical profile points toward Los Angeles, but it does not eliminate San Francisco’s path to victory.

The Dodgers have the advantage in:

Overall record
Winning percentage
Batting average
OBP
Slugging
Runs scored
Home runs
ERA
WHIP
Opponent batting average
Recent five-game form

The Giants have the advantage in:

Head-to-head series record
Total walks

That does not mean the Giants are likely to win simply because they lead the season series.

It means the matchup contains enough evidence to justify looking beyond the standings.

What San Francisco Needs to Do

The Giants’ clearest statistical route is to turn their ability to draw walks into actual run production.

They have 489 walks, compared with 408 for the Dodgers.

Yet San Francisco’s OBP is .305, well below Los Angeles’ .335.

That suggests the Giants need their baserunners to become productive rather than merely accumulating walks.

A few tactical priorities stand out.

Get Traffic in Front of Devers

Devers has 74 RBI and 28 home runs.

The Giants should maximize his plate appearances with runners on base.

An isolated home run can change a game. A three-run home run can change a series.

Let Lee Create Early Opportunities

Lee’s .289 batting average gives San Francisco a strong contact-oriented option.

His value increases when he reaches base ahead of the heart of the order.

Avoid Giving the Dodgers Free Extra Bases

The Dodgers’ .335 OBP means San Francisco cannot afford unnecessary walks and avoidable baserunners.

Pitching around Ohtani is understandable in specific situations, but repeatedly putting runners on base against an offense this productive can create larger problems.

What Los Angeles Needs to Do

The Dodgers do not need to reinvent their offense.

Their supplied numbers already show a balanced attack.

The priority is maintaining the advantages that produced the 80-52 record.

Keep the Giants Off Base

The Dodgers’ 1.16 WHIP is one of their strongest statistical indicators.

If their pitching staff continues limiting walks and hits, San Francisco’s offense becomes much more dependent on isolated power.

Force the Giants to String Hits Together

The Giants have 145 home runs, so simply relying on avoiding all extra-base damage is unrealistic.

A more practical approach is to limit consecutive baserunners.

Preventing singles, walks and doubles from stacking together can reduce the chance that San Francisco turns one mistake into a large inning.

Use Lineup Depth

The Dodgers’ .258 team average and .335 OBP show that their offensive strength extends beyond a single star.

That makes it difficult for an opposing pitcher to simply attack one hitter and expect the problem to disappear.

A Closer Look at Run Production

The 125-run difference between these clubs deserves more attention.

The Dodgers have scored 653 runs.

The Giants have scored 528.

That means Los Angeles has averaged roughly 4.95 runs per game across the 132 games represented by the supplied record, while San Francisco has averaged exactly 4.00.

The difference is approximately 0.95 runs per team game.

Over a single game, that gap does not guarantee anything.

Baseball is too variable for that.

But over 132 games, a difference of almost one run per game becomes a strong indicator of overall offensive separation.

This is why season-long statistics generally deserve more weight than a small head-to-head sample when assessing team quality.

Home Runs Tell an Important Story

The Dodgers have 167 home runs.

The Giants have 145.

That is a 22-home-run difference.

Yet the individual leaders are close.

Ohtani has 30.

Devers has 28.

This tells us something useful: the Dodgers’ power advantage is partly a product of broader lineup production rather than an enormous gap between their leading home-run hitters.

That distinction is important for readers looking at player statistics.

If the leading hitters are relatively close but the team totals are not, supporting hitters and lineup depth become increasingly important.

Batting Average Versus On-Base Percentage

One of the easiest mistakes in baseball analysis is to focus too heavily on batting average.

The Dodgers’ .258 team average is better than the Giants’ .247.

But the OBP gap is larger:

Dodgers: .335

Giants: .305

That 30-point difference helps explain why Los Angeles has produced more runs.

A hitter who does not record a hit can still contribute by drawing a walk.

That runner may later score because of a single, double, sacrifice or home run.

For this reason, a serious player-stat analysis should consider batting average alongside OBP and slugging rather than treating any one figure as a complete measure of offensive value.

Why WHIP Matters So Much Here

The Dodgers’ 1.16 WHIP versus the Giants’ 1.36 WHIP creates a particularly interesting matchup against two lineups with legitimate power.

Power becomes more dangerous when runners are already aboard.

If a pitching staff consistently allows baserunners, it gives the opposing offense more opportunities to turn one mistake into multiple runs.

The Dodgers have done a better job of preventing those opportunities over the supplied season sample.

That does not mean the Giants cannot score.

It means San Francisco may need to capitalize efficiently when opportunities appear.

Statistical Outlook

Based strictly on the supplied data, Los Angeles has the stronger statistical profile entering the matchup.

The Dodgers have:

A 26-game advantage in the win column
A .606 winning percentage
653 runs
167 home runs
A .258 batting average
A .335 OBP
A .426 SLG
A 3.67 ERA
A 1.16 WHIP
A .217 opponent batting average

The Giants have:

A .409 winning percentage
528 runs
145 home runs
A .247 batting average
A .305 OBP
A .405 SLG
A 4.32 ERA
A 1.36 WHIP
A .247 opponent batting average

The ESPN matchup predictor supplied with the data also gives Los Angeles a 61.3% probability compared with 38.7% for San Francisco.

That projection aligns with the broader statistical picture, although a probability is not a prediction of the actual final score.

Why the Giants Still Have a Real Chance

The numbers favor Los Angeles, but the Giants’ 4-3 series advantage cannot be ignored.

San Francisco has already shown it can beat the Dodgers repeatedly.

The Giants also have legitimate offensive weapons.

Devers’ 28 home runs and 74 RBI provide the type of power capable of changing one game.

Lee’s .289 batting average gives the lineup a strong contact option.

And the Giants have drawn 489 walks, more than Los Angeles.

If San Francisco combines those baserunners with timely extra-base hits, the difference in season-long team statistics can become much less important over nine innings.

That is one of baseball’s defining characteristics.

The best team over 132 games does not automatically win tonight.

How to Read the Final Player Box Score

Once the game is completed, readers should not look only at runs, hits and home runs.

A more useful postgame review should examine:

Hitters

At-bats
Hits
Runs
RBI
Walks
Strikeouts
Home runs
Total bases
On-base percentage
Extra-base hits

Pitchers

Innings pitched
Hits allowed
Runs allowed
Earned runs
Walks
Strikeouts
Home runs allowed
WHIP
Pitch count

Game Context

Score by inning
Runners left on base
Errors
Bullpen usage
Situational hitting
Late-inning performance

This approach gives a much clearer picture of why the game was won or lost.

For official game information and broader MLB statistics, the league’s statistical resources are the appropriate place to verify updated numbers after first pitch. MLB statistics

Frequently Asked Questions

What are the key San Francisco Giants vs Dodgers match player stats?

The most important supplied figures include Ohtani’s 30 home runs and .287 batting average, Freeman’s .299 average, Devers’ 28 home runs and .244 average, and Lee’s .289 average. Team-level numbers also show a major Dodgers advantage in runs, OBP, slugging and pitching.

Who leads the Dodgers in home runs?

Shohei Ohtani leads the Dodgers in the supplied data with 30 home runs, along with a .287 batting average and 80 RBI.

Who leads the Giants in home runs?

Rafael Devers leads San Francisco with 28 home runs and 74 RBI in the supplied statistics.

Which team has the better pitching numbers?

The Dodgers have the stronger pitching profile in the supplied data. Their 3.67 ERA and 1.16 WHIP are both better than the Giants’ 4.32 ERA and 1.36 WHIP.

Who leads the season series?

The Giants lead the supplied season series 4-3 entering the September 26 matchup.

Which team is favored by the supplied matchup predictor?

The supplied ESPN matchup predictor gives the Dodgers a 61.3% probability and the Giants a 38.7% probability.

Conclusion

The San Francisco Giants vs Dodgers match player stats point toward a matchup in which Los Angeles enters with the stronger overall statistical foundation.

The Dodgers lead in record, run production, batting average, OBP, slugging, home runs, ERA, WHIP and opponent batting average. Their 80-52 record and 4-1 recent form reinforce that advantage.

But San Francisco has already won four of the seven meetings between the clubs. The Giants also possess legitimate individual threats in Rafael Devers and Jung Hoo Lee, while their 489 walks show that their offense can create opportunities even when the overall run production trails Los Angeles.

The most important statistical contrast is therefore not simply star versus star. It is lineup depth and run prevention versus the Giants’ ability to create high-value opportunities.

Ohtani and Devers provide comparable power totals at the top of their respective home-run rankings. Freeman and Lee offer strong batting-average numbers. Yet the Dodgers’ broader offensive profile and considerably better pitching statistics give them the clearer statistical edge entering the game.

The final outcome will ultimately depend on the actual lineups, starting pitchers, bullpen availability and execution on September 26. Until those factors are confirmed, the most responsible interpretation is that Los Angeles has the stronger statistical profile while San Francisco has already demonstrated that it can outperform that profile in this rivalry.