What Just Happened?

The Dodgers entered October as two-time defending champions, chasing the first three-peat since the 1998-2000 Yankees. They beat Atlanta 3-1 in the Division Series. Then Milwaukee swept them in four games, the last a 6-4 loss at Dodger Stadium on October 15. The Brewers are going to their first World Series since 1982.

It ended fast, and not quietly. Los Angeles led in Game 3, led 4-0 in Game 4, and took the lead three times in the first five innings of Game 2. Milwaukee came back every time.

The NLCS, game by game

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Swept 4-0, outscored 21-11

  1. G1at BrewersOct 11 · MilwaukeeL 1–2-1 · total -11-for-6 with runners in scoring position, 9 left on base, 3 double plays
  2. G2at BrewersOct 12 · MilwaukeeL 4–7-3 · total -4Brewers' bullpen retired the last 15 Dodgers in order
  3. G3vs BrewersOct 14 · Los AngelesL 2–6-4 · total -8Led 2-1 until back-to-back Brewers homers in the 7th
  4. G4vs BrewersOct 15 · Los AngelesL 4–6-2 · total -10Blew a 4-0 lead; series over

Scored 11Allowed 21Differential -10Per game 2.8–5.3

Source: CBS Sports bracket; FOX6 Milwaukee and AP game stories

So the argument started immediately. Did the Dodgers blow it? Or were they never as good as everyone thought? Those are two different questions, and the numbers answer them differently.

Why This Feels Like a Collapse

The expectation gap was enormous. BetMGM made the Dodgers +225 World Series favorites the day before the season, and the Dodgers were the betting favorite to win it all every day of 2026 until Game 1 of this series. DraftKings set their regular-season win total at 102.5.

Then there was the roster. Spotrac projected the Dodgers' luxury-tax payroll at $413.5 million before the season, the largest in baseball. Yahoo Sports, using its own method, put the October gap at $432.8 million to Milwaukee's $154.7 million. Payroll is not team quality, but it shapes what people expect a team to do.

A sweep by a team that spent a fraction as much feels like a collapse. Whether it was one depends on what happened on the field.

The Offense

In the regular season, the Dodgers were one of the best offenses in baseball: .257/.338/.424, a .762 OPS that ranked 2nd, 204 home runs and a 111 wRC+ (11% better than league average after adjusting for park). Their contact quality was better still. Baseball Savant had them at a .338 expected wOBA against a league average of .314, with a 39.6% hard-hit rate and an 8.6% barrel rate, both above average.

In the NLCS, that offense disappeared:

Regular season vs. the NLCS

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The Dodgers' 2026 profile against what they did in four games

2026 regular seasonNLCS

  • Runs per game

    4.94
    2.75
  • Batting average

    .257
    .185
  • Home runs per game

    1.26
    0.25
  • Runs allowed per game

    3.70
    5.25
  • Starting pitchers' ERA

    3.43
    6.50
Per-game rates computed from season totals (801 runs, 204 HR, 600 runs allowed in 162 games) and series totals (11 runs, 1 HR, 21 runs allowed in 4 games).Source: MLB.com standings; SB Nation via Yahoo (team slash line, rotation ERA); AP (.185); MLB.com (starters 13 ER in 18 IP)

Los Angeles hit .185 with one home run. Milwaukee hit seven. The Dodgers went 4-for-27 with runners in scoring position. In Game 1 they left nine runners on base and grounded into three double plays. In Game 4 they had a runner on third base in the 6th, 7th and 8th innings and scored none of them.

How much of that was bad process and how much was bad sequencing? The honest answer is that the series-level contact data (expected wOBA, hard-hit rate, barrels) was not available from a reliable source when this was written, so we can't fully separate the two. What we can say: one home run in four games from a 204-homer team is not just bad luck with runners on. The Dodgers didn't drive the ball. Through two games they had one extra-base hit, and they were 2-for-29 against Milwaukee's bullpen.

The Pitching

The Dodgers' four starters (Tarik Skubal, Yoshinobu Yamamoto, Blake Snell and Tyler Glasnow) allowed 13 runs in 18 innings, a 6.50 ERA. ERA alone exaggerates bad pitching in a sample this small, so look at what each start actually was:

GStarterIPRBBKHR
G1Skubal5.02271
G2Yamamoto2.23210
G3Snell6.04293
G4Glasnow4.1426—

Skubal pitched well enough to win most nights. Snell gave up a home run on the first pitch of the game, then retired 14 straight and struck out nine before two more homers came back-to-back in the 7th inning. Glasnow retired the first 10 hitters he faced with a 4-0 lead. Yamamoto's 2.2 innings in Game 2 were the shortest postseason start of his career, and it was the one start that was bad from the beginning.

The bullpen allowed the other 8 runs in 16 innings. The damage was concentrated. In the 5th inning of Game 4, Milwaukee drew four walks, three of them off relievers (one intentional), and stole two bases; the tying run was walked in with the bases loaded. Tanner Scott gave up the go-ahead homer in the 6th, and Edwin Díaz allowed an insurance homer to the No. 9 hitter in the 9th.

The regular-season numbers point to a real but modest warning sign. The rotation's 3.43 ERA beat its 3.69 FIP (an ERA-style number built only from strikeouts, walks and homers). Several of the best rate stats came in limited innings: Snell made only nine regular-season starts and Glasnow 13. Overall, though, this was an elite run-prevention team. It allowed the fewest runs in baseball (600), and Savant had opposing hitters at a .291 expected wOBA against them.

The Superstars

The biggest names went cold together. These lines cover the Dodgers' full 2026 postseason (eight games across the NLDS and NLCS), because complete NLCS-only lines were not available for every player:

Player2026 postseason (8 games)2026 regular season
Shohei Ohtani.192, 5-for-26, 1 HR, 10 K.275/.377/.512, 30 HR, 139 wRC+
Mookie Betts.207, 6-for-29, no extra-base hits114 wRC+
Freddie Freeman.172, 5-for-29, 2 HR (both NLDS)120 wRC+
Will Smith.097, 3-for-31, 9 K118 wRC+ in 73 games
Tommy Edman.071, 1-for-14101 wRC+
Teoscar Hernández.200, 6-for-30, 10 K110 wRC+
Max Muncy.208, 3 HR (all NLDS), 8 K129 wRC+
Kyle Tucker.333/.419/.519, 9-for-27100 wRC+
Andy Pages.269, 7-for-26, 4 RBI123 wRC+

Two things stand out. First, the slump was broad: seven regulars hit .208 or lower, and only Tucker and Pages hit like themselves. Second, context matters. Ohtani played the postseason with right biceps and left knee injuries, went on the injured list in early September and had not pitched since July 3. His three-run homer in Game 4 was his first since August 18. Smith missed much of the second half. The players who carried the regular season were not all at full strength in October.

These are 30-at-bat samples, though. A .097 average over 31 at-bats tells you about eight games, not about Will Smith.

Were They Actually Dominant?

Yes, in the regular season. And so was the team that beat them.

Who was actually better?

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The two best teams in baseball, on paper

Dodgers 2026

Record
100-62
Run differential2nd in MLB
+201
Expected record
102-60
Runs allowedFewest in MLB
600
wRC+
111
Bullpen ERA / FIP
3.74 / 3.67
Stolen bases
72

Brewers 2026

RecordBest in MLB
103-59
Run differential1st in MLB
+214
Expected record
103-59
Runs allowed
618
wRC+
107
Bullpen ERA / FIP
3.40 / 3.70
Stolen bases
162
Source: MLB.com standings (records, runs, expected W-L); FanGraphs (wRC+, FIP); SB Nation via Yahoo (bullpen ERA, stolen bases)

The Dodgers' run differential and expected record say they were exactly as good as their 100 wins, maybe a little better. They were not a fluke. But Milwaukee had the better record, the better run differential and the better bullpen ERA, won the season series 4-3 and had home-field advantage. Los Angeles outscored the Brewers 27-25 in those seven games, which says how close the teams were.

So "never as good as we thought" is half right. They were as good as their record. They were not as far ahead of the field as their reputation, or their price, suggested. They also finished under that 102.5 preseason win total.

Injuries and Roster Construction

Some of the vulnerabilities were bad luck. Others were known risks.

Bad luck: Ohtani's biceps and knee took his pitching away after July 3, when he had a 1.79 ERA in 14 starts. That removed a frontline starter from the October rotation. Glasnow dealt with a back issue and threw only 74 regular-season innings.

Known risk: the bullpen. Edwin Díaz signed for three years and $69 million, had elbow surgery after seven appearances and posted an 8.68 ERA in 18.2 regular-season innings. He was still pitching the 7th through the 9th of an elimination game. Seven pitchers were on the 60-day injured list in October, including relievers Blake Treinen and Brusdar Graterol. The position-player group was the oldest in the majors, averaging 30.9 years.

A roster built around stars and a deep rotation carried a thin, injured bullpen into October. That was visible before the series started.

The Opponent Deserves Credit

Milwaukee was not a lucky team that got hot. It won a franchise-record 103 games, the most in baseball, and its bullpen was its strength. Megill, Uribe and Ashby combined for a 2.65 ERA in 210.1 regular-season innings, and the Brewers' relievers allowed one earned run in 28.2 postseason innings through Game 2 of this series.

They also outplayed Los Angeles in the moments that decided the games:

  • Power: seven home runs to the Dodgers' one.
  • At-bats: series MVP Jake Bauers drew a 12-pitch walk off Yamamoto in Game 2 and hit a two-run homer on the 11th pitch of an at-bat off Snell in Game 3.
  • Pressure on the bases: 162 regular-season steals, 5th in MLB, and two steals in the inning that tied Game 4.
  • Comebacks: the Game 4 rally from 4-0 down tied the largest comeback ever in a League Championship Series clincher.

Dave Roberts's own summary, to the Associated Press: "We got outplayed in all facets."

Did They "Choke"?

If "choke" is going to mean anything analytically, it should mean performing well below an established level because of the pressure of the moment. A bad result alone doesn't prove that — and no box score can measure nerves. That is the analytical standard this article uses, not an official baseball statistic. So the fair test is whether the evidence points somewhere else first.

Choke or variance? The evidence board

OutpriceTheBook · Analysis

Every argument, and what the numbers say about it

  • ExpectationPreseason World Series favorite; -175 in the series against a team with a better record.Points to: Expectation
  • Season strengthElite (+201, fewest runs allowed), but Milwaukee was better (+214, 103 wins, won the season series).Points to: Expectation
  • Series offense.185, 1 HR, 4-for-27 with runners in scoring position: far below a 111 wRC+ lineup.Points to: Underperformance
  • Series pitchingStarters 6.50 ERA, but three of four starts were competitive; damage came late and in bunches.Points to: Mixed
  • InjuriesOhtani hurt and not pitching; bullpen thinned by the injured list; Díaz returning from surgery.Points to: Roster
  • OpponentBest record in MLB, elite bullpen, 7 HR to 1, comebacks in three games.Points to: Opponent
  • VarianceFour games. A team that wins 55% of its games still gets swept about 4% of the time.Points to: Variance
  • StrategyGame 4 bullpen walks and late homers; Snell left in for the 7th in Game 3. Second-guessable, not decisive.Points to: Strategy

What the numbers support

Los Angeles clearly underperformed at the plate, against an opponent that was at least its equal and in a format built for upsets. That is a bad series, not proof of a choke.

Source: All figures from the sources in this article; sweep probability computed below

The Betting Angle

This is where the expectation gap becomes money. Before Game 1, Hard Rock Bet priced the series Dodgers -175 and Brewers +145. Remove the bookmaker's margin from those two prices and the Dodgers were about a 61% favorite to win the series against a team that had a better record and home field. That is what a brand-name team often costs: you pay for the reputation as well as the roster. Our guides on implied probability and removing the vig show the math.

Then there is the format:

Short series, big variance

OutpriceTheBook · Analysis

How often the better team loses a best-of-seven

Per gameWins seriesLosesSwept
50.0%50.0%50.0%6.3%
55.0%60.8%39.2%4.1%
60.0%71.0%29.0%2.6%
65.0%80.0%20.0%1.5%
Computed with the binomial formula, assuming independent games with the same win probability. A 55% per-game edge is roughly what a 61% series favorite implies.

Even a team that wins 60% of its games loses a seven-game series about 29% of the time. A 61% series favorite is closer to a 55% team per game, and that team gets swept about 4% of the time. Rare, not shocking.

The lessons are the usual ones, made louder:

  • A great roster is not a good price. The question is never "who is better?" It is "is the price wrong?"
  • Short series preserve a lot of upset probability. Even meaningful per-game advantages leave plenty of room for the better team to lose. Futures and series prices for famous teams can drift away from their true probability.
  • Favorites still have to clear the price. At -175, a Dodgers series bet needed Los Angeles to win more than 63% of the time just to break even.

No bet is recommended here. The point is how to read the next one.

The Final Verdict

Did the Dodgers blow it? Partly. For four games they played well below their level, especially at the plate, and they lost three games they led. That part is real.

Were they never as good as we thought? Also partly. They were exactly as good as a 100-win, +201 team, which is elite. But they were not clearly better than Milwaukee, and the market and the public priced them as if they were.

The most supportable answer is both, with a caveat: Los Angeles was a legitimately great team that ran into an equal one and played its worst baseball at the worst time. "Choke" oversimplifies it. The bigger mistake was assuming the sweep could never happen.

Sources & data windows