Minnesota Twins vs Baltimore Orioles Match Player Stats
Minnesota Twins vs Baltimore Orioles match player stats from the August 11, 2026 matchup show how Baltimore built an early lead through three home runs and then relied on strong pitching to protect a 5-2 victory at Target Field. Pete Alonso, Gunnar Henderson, and Christian Encarnacion-Strand supplied the power, while Brandon Young held Minnesota to one earned run across six innings. The game was a useful example of how a few high-impact at-bats can shape the result even when the winning team goes just 1-for-5 with runners in scoring position.
One date clarification is important for accuracy. The supplied box-score data for the 5-2 game corresponds to the Orioles’ August 11 matchup at Target Field, while August 12 was the following game in the three-game series. MLB’s official recap identifies the 5-2 result as the Tuesday night game and confirms the three early Baltimore home runs. MLB.com
Minnesota Twins vs Baltimore Orioles Match Player Stats: Game Overview
The Orioles entered the matchup needing a response, and their offense delivered almost immediately.
Baltimore scored in each of the first three innings through the long ball. Pete Alonso hit a two-run homer in the first inning, Gunnar Henderson added another two-run shot in the second, and Christian Encarnacion-Strand launched a 460-foot home run in the third.
That sequence created a 5-2 lead that Minnesota could not erase.
According to MLB’s official recap, the three-homer opening was particularly notable because Baltimore had not previously homered in each of the first three innings since June 16, 2024. The recap also confirms that Alonso and Henderson each collected three hits and that Encarnacion-Strand’s 460-foot drive was the longest Orioles home run of the season at that point. MLB.com
The supplied game data provides the broader statistical picture:
| Category | Baltimore Orioles | Minnesota Twins |
| Runs | 5 | 2 |
| Hits | 11 | 7 |
| Errors | 1 | 0 |
| Home Runs | 3 | 0 |
| RBI | 5 | 2 |
| Walks | 3 | 4 |
| Strikeouts | 9 | 7 |
| Team RISP | 1-for-5 | 1-for-11 |
| Left on Base | 7 | 10 |
The most revealing number may not be the home-run total. It is the difference in opportunities with runners in scoring position.
Minnesota went 1-for-11 with runners in scoring position. Baltimore went 1-for-5. Neither team was especially efficient in that category, but Baltimore created enough damage through home runs to make the difference largely irrelevant.
That is an important lesson when reading baseball player statistics. A team can struggle with situational hitting and still win comfortably if it produces enough extra-base power early.
Baltimore Orioles Offensive Breakdown
Baltimore’s offensive performance was built around three major swings, but the 11-hit total shows that the attack was not limited to home runs.
The Orioles finished with 36 at-bats, five runs, 11 hits, five RBI, three walks, and nine strikeouts.
Their biggest advantage was the ability to convert individual swings into immediate scoreboard pressure.
Pete Alonso
Pete Alonso was one of the central figures in the game.
His first-inning home run traveled 418 feet and produced two runs. It was Alonso’s 26th home run of the season according to the supplied statistics, and MLB’s recap confirms that it was his team-leading 26th homer at the time. MLB.com
The timing mattered as much as the distance.
A two-run homer before an out had been recorded immediately changed the pressure on Minnesota starter Bailey Ober. Instead of working with a clean inning and attacking hitters normally, Ober had to navigate the remainder of the game with Baltimore already threatening.
Alonso’s contribution can therefore be viewed in two ways:
- Production: A two-run home run.
- Game impact: Baltimore established an early lead before Minnesota could settle into the game.
MLB also reported that Alonso and Henderson had each collected three hits, making the top of Baltimore’s lineup particularly productive. MLB.com
Gunnar Henderson
Gunnar Henderson delivered one of the most important performances of the night.
His second-inning home run was measured at 409 feet and pushed Baltimore’s advantage to 4-0.
The supplied statistics list Henderson with two RBI and his 19th home run of the season. His double was also his 20th of the year.
What makes Henderson’s performance especially interesting is the context surrounding it. MLB reported that he entered the game during a 14-game homerless stretch and a 1-for-24 slump. His home run therefore represented more than one extra run on the scoreboard. It also ended a difficult stretch of results. MLB.com
This is one reason player-stat analysis should not focus only on season totals.
A player can have a strong season-long record while entering a particular game in poor recent form. Conversely, one productive game can change the short-term narrative without necessarily changing the entire season outlook.
For this matchup, Henderson’s two-run homer was a major turning point.
Christian Encarnacion-Strand
Christian Encarnacion-Strand produced perhaps the most visually impressive hit of the game.
His third-inning home run traveled a projected 460 feet, according to MLB’s recap. It gave Baltimore its fifth and final run of the game. MLB.com
The supplied data lists Encarnacion-Strand with four home runs for the season and one RBI in this game.
The distance was significant because it demonstrated the amount of raw power behind the swing. MLB noted that the 460-foot shot was the longest Orioles home run of the season at that point. MLB.com
From a statistical perspective, the important takeaway is that Baltimore did not need a string of small offensive plays to create separation. Three home runs accounted for all five of its runs.
Baltimore’s Overall Hitting Profile
The Orioles finished with:
- 11 hits
- 5 runs
- 5 RBI
- 3 home runs
- 3 walks
- 9 strikeouts
- 7 runners left on base
- 1-for-5 with runners in scoring position
That combination tells an interesting story.
Baltimore struck out more often than Minnesota, but still scored three more runs. This is a reminder that strikeout totals alone are not enough to determine offensive success.
The Orioles generated damaging contact.
Three home runs meant that Baltimore could score without needing a hit immediately before or after the home run. That is one of the biggest differences between a power-driven offensive attack and a lineup that depends heavily on stringing singles together.
Minnesota Twins Offensive Breakdown
Minnesota managed seven hits and two runs, but the final score does not fully describe how many opportunities the Twins had.
The Twins went 1-for-11 with runners in scoring position and left 10 runners on base.
That combination is critical.
Minnesota had opportunities, but the offense struggled to convert them into runs.
Brooks Lee
Brooks Lee was one of Minnesota’s productive hitters.
His double was his 19th of the season and drove in Ryan Jeffers, giving the Twins one of their two runs.
The extra-base hit was important because it demonstrated Minnesota’s ability to generate pressure without relying on a home run.
Lee’s contribution also illustrates the difference between reaching base and actually producing a run. A double is valuable, but its ultimate impact depends on whether the lineup can bring the runner home.
Alan Roden
Alan Roden drove in Minnesota’s other run.
His RBI gave the Twins another scoring opportunity, but Minnesota could not build a sustained rally afterward.
The supplied statistics list Roden with one RBI, while the team finished with only two runs from seven hits.
Minnesota’s Situational Hitting
The 1-for-11 RISP figure is the clearest indicator of Minnesota’s offensive problem.
A team can accumulate hits and still struggle to score if those hits are not converted when runners are in scoring position.
Minnesota also left 10 runners on base, compared with seven for Baltimore.
That difference matters because the Twins had more unused baserunner opportunities despite scoring fewer runs.
For readers analyzing box scores, this is an excellent example of why three categories should be examined together:
- Total hits
- Runners in scoring position
- Left on base
Looking at only total hits can make the teams appear relatively close. Looking at run production reveals the difference.
Baltimore Orioles Pitching Stats
Baltimore’s pitching staff allowed seven hits and two runs over nine innings.
The supplied pitching line shows:
- 9.0 innings
- 7 hits allowed
- 2 runs
- 1 earned run
- 4 walks
- 7 strikeouts
- 0 home runs allowed
That is a strong overall run-prevention performance.
The Orioles did not dominate through strikeouts. Instead, they limited Minnesota’s ability to turn baserunners into runs.
Brandon Young
Brandon Young earned the win with six innings of work.
His line was:
6.0 IP, 6 H, 1 ER, 4 K, 3 BB
Young allowed six hits and three walks, so his performance was not built around completely shutting down contact.
Instead, he limited the damage.
That distinction is important.
A pitcher can allow several baserunners and still provide a quality outing if those runners do not score. Young surrendered six hits, but Minnesota scored only one earned run during his six innings.
MLB’s recap also specifically credited Young with allowing two runs, one earned, across six innings. MLB.com
The supplied line and the official recap therefore point toward the same broader conclusion: Young’s value came from limiting scoring rather than eliminating baserunners.
Andrew Kittredge
Andrew Kittredge supplied a clean ninth inning in the supplied statistics.
His line was:
1.0 IP, 0 H, 0 ER, 1 K, 0 BB
That type of closing performance is valuable after an offense has established an early cushion.
Kittredge did not allow Minnesota to create a late rally, preserving Baltimore’s three-run advantage.
Minnesota Twins Pitching Stats
Minnesota’s pitching numbers explain the final score more directly than its batting numbers.
The Twins allowed:
- 11 hits
- 5 runs
- 5 earned runs
- 3 home runs
- 3 walks
- 9 strikeouts
The biggest issue was the home-run damage.
Three Orioles homers accounted for all five Baltimore runs.
Bailey Ober
Bailey Ober took the loss.
His supplied pitching line was:
6.0 IP, 8 H, 5 ER, 4 K, 1 BB
Ober actually recorded six innings, four strikeouts, and only one walk.
Those numbers might look reasonable in isolation.
The problem was the five earned runs, all of which came through Baltimore’s ability to turn mistakes into home runs.
Ober gave up three homers in the game. MLB’s recap noted that before this outing, he had allowed three homers in only one of his previous 17 starts. MLB.com
That context makes the outing more notable.
The issue was not an inability to throw strikes or a complete collapse in command. It was the severity of the damage on the pitches that Baltimore turned into home runs.
The Biggest Statistical Difference: Power
The simplest way to understand the game is to compare the home-run totals.
Baltimore: 3 home runs
Minnesota: 0 home runs
That difference directly explains the scoring gap.
Baltimore scored five runs. Minnesota scored two.
The Orioles did not need a huge advantage in walks, strikeouts, or RISP performance. They created enough separation through extra-base power.
This is an important point for readers searching for player statistics because traditional box-score categories can sometimes hide the actual story.
A team with 11 hits does not automatically win against a team with seven hits. But when those 11 hits include three home runs, the quality of the contact becomes much more important.
Why the First Three Innings Mattered So Much
The game was effectively shaped during the opening three innings.
First Inning
Pete Alonso hit a 418-foot two-run home run.
Baltimore immediately led 2-0.
Second Inning
Gunnar Henderson hit a 409-foot two-run home run.
Baltimore moved ahead 4-0.
Third Inning
Christian Encarnacion-Strand hit a 460-foot home run.
The Orioles reached a 5-0 advantage.
Minnesota later scored twice, but the early deficit forced the Twins to play from behind for the remainder of the game.
MLB’s official recap confirms that Alonso, Henderson, and Encarnacion-Strand homered in each of the first three innings. MLB.com
This pattern also demonstrates why inning-by-inning analysis can be more useful than a final score alone.
The final score says Baltimore won 5-2.
The scoring sequence explains why Minnesota never fully recovered.
Advanced Interpretation of the Box Score
The Minnesota Twins vs Baltimore Orioles match player stats become more useful when the individual numbers are connected.
Baltimore had 11 hits and five runs.
Minnesota had seven hits and two runs.
At first glance, the four-hit difference explains part of the result. But the home-run difference explains much more.
Baltimore’s three home runs accounted for all five runs.
Minnesota had no home runs and had to rely on base hits and situational hitting.
The Twins also went 1-for-11 with runners in scoring position. That is a major missed opportunity.
Baltimore was not particularly efficient with RISP either, going 1-for-5. The difference was that the Orioles did not need a high RISP conversion rate because their home runs produced immediate runs.
This is an important distinction between opportunity creation and opportunity conversion.
Minnesota created opportunities.
Baltimore created fewer RISP opportunities but generated much larger results from its most damaging swings.
Pitching Efficiency Versus Contact Quality
Another useful way to interpret the game is to separate contact quantity from contact quality.
Bailey Ober recorded four strikeouts and issued only one walk over six innings.
That is not a disastrous command profile.
However, eight hits and five earned runs show that the contact Minnesota allowed was costly.
Brandon Young, meanwhile, gave up six hits and three walks but allowed only one earned run.
That creates an interesting contrast:
Ober: Fewer walks, but more damaging contact.
Young: More walks and similar strikeout output, but much less scoring damage.
This is why ERA, strikeouts, and walks should not be analyzed independently.
The type of contact matters.
The timing of contact matters.
The number of runners already on base matters.
And, most importantly, whether those runners score matters.
What the RISP Numbers Tell Us
Baltimore went 1-for-5 with runners in scoring position.
Minnesota went 1-for-11.
The raw percentages are:
- Baltimore: 20.0 percent
- Minnesota: 9.1 percent
Neither number represents an especially productive night in traditional RISP terms.
Yet Baltimore won by three runs.
Why?
Because home runs can bypass the traditional RISP situation entirely.
Pete Alonso’s two-run homer produced two runs without requiring Baltimore to record a successful hit with a runner already standing in scoring position.
Gunnar Henderson’s two-run homer did the same.
That is why a box-score reader should never treat RISP as the only measure of clutch offense.
What the Left-on-Base Numbers Reveal
Minnesota left 10 runners on base.
Baltimore left seven.
The Twins therefore had three more runners stranded than the Orioles.
Combined with the 1-for-11 RISP performance, the number shows that Minnesota repeatedly reached opportunities without finishing them.
That is arguably one of the clearest explanations for the final score.
A seven-hit team can win a baseball game if it maximizes its opportunities.
An 11-hit team can lose if its hits arrive at the wrong times.
The Orioles avoided that problem by creating runs with long balls early.
Series Context
The supplied information lists the series result as Minnesota winning the three-game series 2-1.
That means Baltimore’s 5-2 victory was important within the larger series because it prevented a sweep and gave the Orioles a road win at Target Field.
The supplied records around the game were:
- Orioles: 58-62 overall
- Orioles: 26-32 away
- Twins: 59-62 overall
- Twins: 31-28 at home
These numbers provide additional context.
Minnesota had a stronger home record than its overall record, so Baltimore’s victory came in a difficult environment.
The attendance was listed at 21,677, with the game taking place at Target Field in Minneapolis.
Key Player Takeaways
Pete Alonso
Alonso’s two-run home run immediately changed the game.
His 26th homer of the season was one of the most important offensive events of the night.
Gunnar Henderson
Henderson combined power and contact, producing a home run and a double.
His performance was especially notable because it came after a difficult recent stretch.
Christian Encarnacion-Strand
His 460-foot home run was the game’s longest and gave Baltimore its fifth run.
Brandon Young
Young allowed six hits and three walks but limited Minnesota to one earned run across six innings.
Bailey Ober
Ober struck out four and walked only one across six innings, but three Baltimore home runs produced five earned runs and determined the outcome.
Brooks Lee
Lee supplied Minnesota’s extra-base production with a double that drove in a run.
Alan Roden
Roden added an RBI, but Minnesota could not turn its other opportunities into enough runs.
How to Read These Player Stats Correctly
If you are using this game as a reference for baseball analysis, there are several useful habits to take away.
Start with the final score
The score gives you the basic result, but it should not be the end of the analysis.
Compare total hits
The 11-7 advantage shows Baltimore produced more offense overall.
Look at extra-base hits
The three Baltimore home runs were far more important than the simple four-hit difference.
Check pitching lines
Young’s six innings with one earned run were central to Baltimore’s ability to protect its lead.
Examine RISP
Minnesota’s 1-for-11 performance explains why seven hits did not become more runs.
Check runners left on base
Ten stranded runners show how many opportunities Minnesota failed to convert.
Finally, examine the scoring sequence
The first three innings explain the shape of the game better than almost any individual statistic.
Why This Game Matters for Player Evaluation
One of the easiest mistakes in baseball analysis is judging a player from a single box score without considering context.
For example, Ober’s four strikeouts and one walk look respectable.
But five earned runs allowed on eight hits tell another part of the story.
Young’s three walks may initially look concerning.
Yet one earned run allowed across six innings shows that those baserunners did not translate into significant damage.
The same principle applies to hitters.
A player with one hit can have a greater impact than a player with two singles if the first player produces a two-run home run.
Baseball statistics become much more meaningful when they are connected to the game’s actual sequence.
The Most Important Numbers at a Glance
| Player | Key contribution |
| Pete Alonso | 418-foot, two-run HR |
| Gunnar Henderson | 409-foot, two-run HR and double |
| Christian Encarnacion-Strand | 460-foot HR |
| Brandon Young | 6.0 IP, 6 H, 1 ER, 4 K, 3 BB |
| Andrew Kittredge | 1.0 IP, 0 H, 0 ER, 1 K, 0 BB |
| Bailey Ober | 6.0 IP, 8 H, 5 ER, 4 K, 1 BB |
| Brooks Lee | 19th double, RBI |
| Alan Roden | RBI |
Frequently Asked Questions
What was the final score between the Orioles and Twins?
The Baltimore Orioles defeated the Minnesota Twins 5-2 at Target Field.
Who hit home runs for Baltimore?
Pete Alonso, Gunnar Henderson, and Christian Encarnacion-Strand hit home runs for Baltimore. Alonso hit a 418-foot two-run homer, Henderson hit a 409-foot two-run homer, and Encarnacion-Strand hit a 460-foot homer. MLB.com
Who was the winning pitcher?
Brandon Young earned the win after pitching six innings and allowing six hits, one earned run, and three walks while striking out four.
Who took the loss?
Bailey Ober took the loss. He pitched six innings, allowing eight hits and five earned runs with four strikeouts and one walk.
How did Minnesota perform with runners in scoring position?
Minnesota went 1-for-11 with runners in scoring position and left 10 runners on base.
How many home runs did Minnesota hit?
Minnesota did not hit a home run in the supplied 5-2 game.
Conclusion
The Minnesota Twins vs Baltimore Orioles match player stats tell a clear story once the numbers are viewed together.
Baltimore won because its biggest offensive moments carried significant value. Three home runs produced all five Orioles runs, with Pete Alonso and Gunnar Henderson each delivering two-run shots before Christian Encarnacion-Strand added a massive solo homer.
The pitching side was just as important. Brandon Young allowed six hits and three walks, but Minnesota managed only one earned run against him through six innings. The Orioles then protected the lead without allowing Minnesota to create a late comeback.
For Minnesota, the biggest statistical issue was not a complete lack of offense. The Twins collected seven hits and created numerous opportunities. Their 1-for-11 performance with runners in scoring position and 10 runners left on base showed the gap between reaching scoring chances and converting them.
The game also demonstrates why baseball analysis should go beyond batting averages and basic totals. Home-run timing, run expectancy, pitching damage, RISP performance, and runners left on base all help explain why a game finished the way it did.
The supplied data identifies the matchup as August 12, 2026, but the official MLB record identifies the 5-2 game described here as the August 11 contest. MLB’s recap confirms the 5-2 score and the three consecutive early Baltimore home runs. MLB.com
