Baseball’s predictive models had no column for the noise rising behind Milwaukee’s dugout at Tropicana Field on Monday night.
With two outs in the fifth inning, Brice Turang lined a ball off Tampa Bay shortstop Taylor Walls’ glove. Two runs scored. The Brewers kept swinging, and the Rays couldn’t stop the damage.
One hit became another. Garrett Mitchell singled, Cooper Pratt doubled, and Sal Frelick drove another ball into the gap. By the time Jackson Chourio completed the barrage, Milwaukee had scored eight runs with two outs, a World Series first.
The Brewers crushed Tampa Bay 10-1, taking a 3-0 series lead. Rookie Robert Gasser allowed one hit through six innings, while Chourio collected four hits. According to the Associated Press, Milwaukee matched a postseason record with its eighth consecutive victory.
Back in February, FanGraphs projected Milwaukee to win 83 games. Baseball Prospectus’ PECOTA system expected roughly 80.
Instead, the Brewers won 103 regular-season games. Now they stand one victory from their first championship.
How did baseball’s most sophisticated forecasting systems underestimate this team so badly?
The Brewers weren’t supposed to be baseball’s best team
Milwaukee entered 2026 with an uncomfortable distinction. The Brewers had won 97 games the previous season, yet the statistical forecasts expected a considerable decline.
FanGraphs projected an 83-79 finish and gave Milwaukee 42.6% playoff odds in its preseason evaluation.
Baseball Prospectus was even less optimistic.
Its PECOTA projections, published in February, placed Milwaukee at 80.2 victories. The Chicago Cubs, meanwhile, received a 90.6-win projection and the division’s strongest outlook.
For Brewers manager Pat Murphy, the skepticism was familiar.
Milwaukee had repeatedly exceeded preseason expectations under different rosters. Its success relied on athleticism, disciplined pitching, and the ability to pressure opponents without depending entirely on home runs.
The projection systems recognized those qualities individually. Translating them into team victories proved harder.
By September 25, Milwaukee had reached 100 wins. Three more followed before the regular season ended.
The Brewers finished 103-59, securing baseball’s best record and home-field advantage throughout October.
Their nearly 23-win advantage over PECOTA’s February projection represented an enormous miss in expected regular-season performance.
Yet the discrepancy revealed something more interesting than a simple forecasting failure.
For years, statistical analysts had struggled to determine how much additional value Milwaukee created through the interaction of its individual strengths.
An excellent defender might save a run. A smart baserunner might turn a single into a scoring opportunity. A hitter who avoids strikeouts might make both advantages more valuable.
Put those elements together, and the damage grows.
Milwaukee spent six months demonstrating that principle. October gave the Brewers a much larger stage.
The Dodgers looked unbeatable until Milwaukee made them look ordinary
The Los Angeles Dodgers had nearly everything predictive systems love.
Their roster featured established stars, exceptional pitching depth, and the financial resources to address weaknesses. Adding Tarik Skubal strengthened an already formidable rotation.
By September, Los Angeles had become the overwhelming statistical championship favorite.
A September 12 MLB.com analysis reported that FanGraphs gave the Dodgers a 28.6% probability of winning the World Series. No other team came close.
That confidence grew as October approached.
In RotoWire’s late-September comparison of postseason projections, FanGraphs assigned Los Angeles a 36.9% World Series probability.
Milwaukee received 11.3%. Tampa Bay stood at 8.6%.
Those numbers created a substantial gap between the Dodgers and the eventual World Series participants.
The mathematical models had good reasons to prefer Los Angeles. A roster stacked with productive hitters and elite pitchers generally offers more reliable performance across a full season.
But the National League Championship Series demolished that hierarchy.
Milwaukee beat the Dodgers 2-1 in Game 1. A 7-4 victory followed, then a convincing 6-2 win in Los Angeles.
Game 4 ended 6-4.
Four games. Four Milwaukee victories.
Los Angeles, the team expected to win more than a third of all simulated championships, never won an NLCS game.
The final defeat captured everything that made Milwaukee dangerous.
Down 4-0 after Shohei Ohtani’s towering three-run homer, the Brewers clawed back. Garrett Mitchell’s go-ahead homer put Milwaukee ahead, while David Hamilton added insurance with a ninth-inning shot.
The Dodgers had the stars. Milwaukee kept finding answers.
That sweep didn’t prove the original Dodgers projection was mathematically unreasonable. Even a 36.9% championship chance leaves plenty of room for somebody else to win.
Still, the series exposed how quickly a talent advantage can disappear when the margin shrinks to seven games.
Milwaukee didn’t have to outperform Los Angeles across another 162.
It needed four victories.
The Brewers got them before the Dodgers found a response.
Milwaukee’s hidden advantages were never entirely hidden
The most revealing criticism of Milwaukee’s projections came from inside FanGraphs.
On May 20, analyst Ben Clemens examined why his site’s standard forecast remained relatively cautious about the Brewers despite their strong opening months.
His explanation identified a familiar weakness.
FanGraphs struggled to capture Milwaukee’s advantages in baserunning, defense, and the way contact-oriented hitters increased the value of aggressive advancement.
Clemens acknowledged that the system didn’t handle those interconnected strengths particularly well.
The admission mattered because it challenged how analysts traditionally measure individual contributions.
Consider Jackson Chourio.
His combination of power and speed forces pitchers and defenders to solve multiple problems simultaneously.
Chourio demonstrated that pressure during World Series Game 3.
He singled in the fifth, stole second, and helped keep the inning alive. After the Brewers began scoring, he returned to the plate and doubled home another run.
That sequence involved much more than raw offensive production.
Chourio created a scoring threat with his legs, extended pressure through contact, and punished Tampa Bay when its pitchers lost control.
Turang provided another example.
The second baseman reached base consistently throughout the regular season, finishing with a .366 on-base percentage. His offensive value extended beyond conventional power production.
In Game 3, his two-run single came after replay review overturned an apparent forceout at second base.
A few inches and a successful challenge changed the inning.
Walls couldn’t handle Turang’s sharp grounder on a short hop. The ball escaped into shallow center, and Milwaukee’s offense erupted.
Meanwhile, Frelick added a run-scoring double during the same rally.
None of these plays required extraordinary individual power. Together, they overwhelmed Tampa Bay.
Traditional projections could estimate Chourio’s offensive production or Turang’s likelihood of reaching base.
Measuring how those skills compounded through pressure, defensive positioning, and additional baserunners remained considerably harder.
Milwaukee’s 2026 offense showed that a lineup could generate relentless pressure without relying on home runs.
The Brewers scored 832 regular-season runs, the second-highest total in the National League, despite hitting just 154 home runs.
Those numbers tell a different story from the familiar image of a championship contender launching towering fly balls.
Milwaukee made opponents work for every out.
Three forecasting systems saw three different versions of baseball
The problem wasn’t a lack of statistical sophistication.
FanGraphs, Baseball Prospectus, and Baseball Reference each used credible forecasting methods. Their differences came from what they trusted most.
FanGraphs trusted projected talent
FanGraphs combined Steamer and ZiPS player projections, adjusted for expected playing time, to estimate team strength.
The system then simulated the remaining season 20,000 times, accounting for schedules and projected opponents.
That approach protects forecasts against temporary hot streaks.
A proven hitter experiencing a difficult April doesn’t automatically become a replacement-level player. Similarly, an unheralded rookie doesn’t receive superstar expectations after two excellent weeks.
But that stability creates another problem.
When a team genuinely improves beyond its preseason projection, the model might react too slowly.
Milwaukee made that weakness difficult to ignore.
PECOTA trusted historical comparisons
Baseball Prospectus approached player forecasting through PECOTA, which studies previous performances and comparable career trajectories.
A young player’s breakout might signal lasting improvement. Historical comparisons can also reveal how frequently similar performances declined.
That skepticism helps prevent wild overreactions.
Milwaukee’s 2026 season demonstrated the other side.
PECOTA’s approximately 80-win projection fell well short of the Brewers’ actual 103 victories.
Baseball Prospectus hadn’t ignored Milwaukee’s previous success. Its model simply expected less production from the assembled roster than the Brewers eventually delivered.
Baseball Reference trusted recent results
Baseball Reference’s published 2026 methodology used 25,000 simulations and evaluated team strength over a rolling 100-game regular-season sample.
Recent performance mattered more in this approach.
Instead of building its entire forecast around preseason player expectations, the system paid closer attention to what teams had actually accomplished.
Each method offered a reasonable argument.
FanGraphs emphasized projected talent. PECOTA leaned on historical comparisons. Baseball Reference placed greater weight on recent team performance.
But none could agree on how quickly to reward unexpected success.
Milwaukee kept winning while the debate continued.
A different forecast spotted Milwaukee’s strength months earlier
Ben Clemens wasn’t satisfied with how slowly traditional projections adjusted.
His May 20 FanGraphs analysis explored a simple question: What happens when a forecast trusts both preseason expectations and what teams have already shown?
He tested an approach known as Bayesian forecasting, which combines earlier expectations with fresh evidence.
Milwaukee provided a striking example.
At the quarter-season mark, FanGraphs’ standard model gave the Brewers a 71% chance of reaching the playoffs.
A model emphasizing their 2026 performances put the probability at 91.1%.
Clemens’ adjusted version landed between them at 82.3%.
The difference mattered.
Milwaukee’s early results suggested the Brewers were considerably stronger than initially expected. Clemens’ approach gave those victories more weight without treating every winning streak as permanent improvement.
He also found that his adjustment performed better in historical testing, reducing forecast error by approximately 2.4% compared with the standard FanGraphs model.
That wasn’t a dramatic breakthrough. It was evidence that the conventional numbers could respond more effectively to what happened on the field.
Clemens had identified Milwaukee’s forecasting problem months before the Brewers reached the World Series.
His alternative didn’t predict a championship. It recognized a team whose performances deserved more respect than its preseason reputation.
By October, the Brewers had eliminated any remaining doubt about their ability to win.
Their bullpen had become the strongest evidence of all.
Milwaukee’s bullpen turned small leads into October nightmares
An October 25 MLB.com World Series preview reported that Brewers relievers carried a 1.24 ERA through their first ten postseason games, covering 50⅔ innings.
Aaron Ashby had supplied 15⅔ scoreless innings during that stretch.
Those numbers explain why Milwaukee’s narrow victories kept turning into series wins.
Once the Brewers grabbed a lead, opponents struggled to find openings against their relievers. Ashby, Trevor Megill, and Abner Uribe repeatedly handled the highest-pressure outs.
The Dodgers discovered that in the NLCS.
Los Angeles entered Game 4 with its season on the line. Ohtani’s early three-run homer helped the Dodgers build a four-run advantage, but Milwaukee kept chipping away.
Mitchell’s sixth-inning homer put the Brewers ahead 5-4.
From there, Milwaukee’s relievers shut down Los Angeles. The Dodgers managed nothing against the bullpen across the final five innings.
That wasn’t a statistical curiosity. It was the difference between forcing another game and watching Milwaukee celebrate the pennant.
Short playoff series punish even the strongest favorites.
A club with a 60% chance of winning any individual game still has only about a 71% chance of taking a best-of-seven series, assuming those game probabilities remain unchanged.
One poorly timed defeat can shift everything.
Milwaukee’s bullpen made those defeats particularly difficult to avoid.
FanGraphs’ ZiPS postseason projections account for available pitchers, projected lineups, and individual matchups. But even detailed forecasting cannot reproduce every managerial decision or predict exactly when a reliever will deliver his best outing.
Murphy had repeatedly demonstrated his willingness to trust his bullpen with games hanging in the balance.
The Brewers also forced opposing managers into uncomfortable decisions. Their hitters extended at-bats, put runners in motion, and kept pressure on pitchers who couldn’t afford another baserunner.
By the World Series, those advantages were feeding each other.
In Game 2, Tampa Bay jumped ahead 4-0 in the first inning. Milwaukee chipped away, tied the score on Frelick’s sixth-inning homer, and grabbed the lead in the seventh.
The bullpen handled the rest.
Ashby closed the 5-4 victory with a five-out save, leaving Tampa Bay two games behind despite scoring four runs before Milwaukee had taken a swing.
Then came Game 3.
Gasser delivered six dominant innings, Chourio and Turang sparked an offensive explosion, and Milwaukee turned another contest into a rout.
The Brewers weren’t merely beating their forecasts anymore.
They were one victory from making history.
Game 4 could settle Milwaukee’s championship drought
Milwaukee enters October 27 with a 3-0 World Series lead and the opportunity to claim its first championship.
Tampa Bay now faces a deficit no team has ever overcome in World Series history. According to the Associated Press, all 25 previous clubs to take a 3-0 championship lead finished the job. Twenty-one completed the sweep, while four won in five games.
That history now falls squarely on Griffin Jax, Tampa Bay’s scheduled Game 4 starter. The right-hander must prevent Milwaukee from becoming the 22nd team to complete a World Series sweep. His most recent ALCS start against Cleveland lasted four innings, with three runs allowed.
Jax has no room for a difficult first inning. Tampa Bay must win four consecutive games against a Milwaukee club riding eight straight postseason victories.
The Brewers know exactly how to make that assignment uncomfortable.
Chourio can stretch a routine single into an immediate scoring threat. Turang keeps the lineup moving, while Frelick and Mitchell punish pitchers who leave balls over the plate. Once Milwaukee grabs a lead, Murphy can call on a bullpen that has repeatedly strangled late rallies.
Every inning brings the Rays closer to elimination.
Each Milwaukee baserunner threatens to turn another close game into a celebration.
The broader forecasting debate won’t disappear with the final out.
Milwaukee’s season gives analysts another reason to examine how projections measure the combined value of athleticism, defense, and aggressive baserunning.
But one spectacular postseason cannot prove that a mathematical model is broken.
An 11.3% championship probability still describes an outcome that can happen. The better question is whether projection systems consistently underestimate teams built like Milwaukee.
That’s worth investigating long after the champagne dries.
Baseball’s forecasts correctly identified Los Angeles as a formidable contender. They offered defensible estimates of what might happen across thousands of simulated outcomes.
What they struggled to appreciate was how Milwaukee’s particular collection of skills could produce something greater than the sum of its parts.
Back in February, the Brewers were supposed to fight for a playoff berth.
Now Chourio, Turang, Gasser, and the rest of Milwaukee’s roster stand one victory from something no Brewers team has accomplished.
The numbers can explain why the Dodgers entered October as favorites. They can help researchers understand why Milwaukee deserved greater respect.
But they cannot change what happened beneath the Tropicana Field roof Monday night.
For the Brewers, the argument has moved beyond the spreadsheet.
One more win, and they’ll have the championship to prove it.
READ MORE: Early-Count Swing Percentages Reveal Baseball’s First-Pitch Ambush
FAQs
Why did MLB playoff probability models underestimate the Brewers in 2026?
Traditional projections placed greater weight on expected individual performances. Milwaukee exceeded those forecasts through strong defense, aggressive baserunning, timely hitting and reliable relief pitching.
How many games were the Milwaukee Brewers projected to win in 2026?
FanGraphs projected 83 victories, while Baseball Prospectus’ PECOTA system expected about 80. Milwaukee finished the regular season with 103 wins.
Which team had the highest projected chance of winning the 2026 World Series?
The Dodgers entered October as FanGraphs’ championship favorite, with a 36.9% probability in late-September projections.
Why was Milwaukee’s bullpen so important during the 2026 playoffs?
Brewers relievers posted a 1.24 ERA through their first ten postseason games. Their performances helped Milwaukee protect narrow leads against dangerous opponents.
How did the Brewers take a 3-0 World Series lead over the Rays?
Milwaukee won Game 3 by a 10-1 score, producing a historic eight-run fifth inning with two outs to move within one victory of the championship.
