Brewers edge Dodgers 2-1

Sun, Oct. 11 · 1 game · Stat Lab #18: xFIP and home-run luck · 7-min read

Press time 13:07 CEST · Final 1/1 · Statcast: posted

Last Night at a Glance

  • NL Championship Series Game 1: Dodgers 1, Brewers 2 · Brewers lead 1-0

Tonight (CEST)

Mon, Oct. 12 · 2 games · none before 23:00 CEST · starters as of 13:07 CEST

MatchupStart CEST (ET)SeriesAway SPHome SPStakes
LAD 100-62
@ MIL 103-59
23:00
(5:00 p.m.)
NLCS G2 of 7
MIL leads 1-0
Yoshinobu Yamamoto
2.53 · 3.33 · 19.8% · 185.0
Logan Henderson
2.47 · 3.32 · 24.5% · 98.1
—
CLE 85-77
@ TB 98-64
Tue 02:00
(8:00 p.m.)
ALCS G1 of 7Foster Griffin
3.60 · 3.96 · 15.7% · 172.2
Drew Rasmussen
2.67 · 2.82 · 21.2% · 172.0
—
Prague time (CEST), US Eastern in brackets; final regular-season W-L. SP: announced probable starter (TBD = not yet), season ERA · FIP · K-BB% · IP; a/b GS = starts/games for a pitcher who mostly relieves. Stakes: series score as of this morning. ● = starts before 23:00 CEST.

Scoreboard

MatchupFinalDramaDecisionsLinks
LAD @ MIL1-22.90 ★★★W Hall · L Skubal · S MegillBox · Savant
Sorted by Drama Index: how much win probability swung during the game.

The Bracket

Wild Card Series (best of three, every game at the higher seed)

  • AL: White Sox at Astros: White Sox win 2-0.
  • AL: Red Sox at Yankees: Yankees win 2-0.
  • NL: Phillies at Braves: Braves win 2-1.
  • NL: Cubs at Padres: Padres win 2-0.

Division Series (best of five)

  • AL: Yankees at Rays: Rays win 3-0.
  • AL: White Sox at Guardians: Guardians win 3-2.
  • NL: Padres at Brewers: Brewers win 3-1.
  • NL: Braves at Dodgers: Dodgers win 3-1.

Championship Series (best of seven)

  • AL: Guardians at Rays: Not started · Game 1: Tue, Oct. 13, 02:00 CEST (8:00 p.m. ET).
  • NL: Dodgers at Brewers: Brewers lead 1-0 · Game 2: Mon, Oct. 12, 23:00 CEST (5:00 p.m. ET) · history: up 1-0 in a best-of-seven, 127 of 197 won the series.

Game of the Night: Dodgers 1, Brewers 2

  • Drama Index 2.90 ★★★ · 1 lead change · peak leverage 5.77 (top 9th)
  • In history: 617th most dramatic of 1,878 postseason games since 1903 (Retrosheet)
  • Top WPA: Aaron Ashby +0.22 (pitcher) · Trevor Megill +0.17 (pitcher) · Brice Turang +0.13 (batter)
  • Bottom WPA: Enrique Hernández -0.20 (batter) · Freddie Freeman -0.13 (batter) · Mookie Betts -0.12 (batter)
Win probability, Dodgers 1 at Brewers 2, Oct. 11, 2026. Biggest swing: Mookie Betts flyout, 9th inning, -15%.
Above the middle line the Brewers were favored, below it the Dodgers.

Watch: condensed game, 23 min · recap, 3 min (MLB.com)

InningMatchupResultWin probabilityWPALI
Top 9thMookie Betts vs. Trevor MegillFlyoutLAD 15% → 0%-0.155.77
Top 2ndEnrique Hernández vs. Jacob MisiorowskiGrounded Into DPLAD 69% → 56%-0.142.18
Bot 4thBrice Turang vs. Tarik SkubalHome RunMIL 43% → 56%+0.131.18
The three biggest swings.

Top Performers

StarterGameIPHR (ER)BBKPitchesGSc
Jacob MisiorowskiMIL vs. LAD4.151359452
Tarik SkubalLAD @ MIL5.052278151
Best starts by Game Score v2 (50 is average, 70+ is excellent).
BatterTeamLineWPA
Brice TurangMIL1-for-2, HR, 1 RBI, BB+0.13
Luis LaraMIL1-for-3, 1 RBI+0.07
Josue De PaulaLAD0-for-0, BB+0.07
Kyle TuckerLAD0-for-2, 2 BB+0.04
Jake BauersMIL1-for-3, BB+0.01
Best bats by Win Probability Added (+0.50 = half a win).

Statcast Corner

  • 38 tracked balls in play, 50% hard-hit (95+ mph), 2 barrels
  • 47 pitches at 100+ mph from 3 pitchers
CategoryPlayerDetailWhere
Fastest pitchJacob Misiorowski (MIL)104.0 mph (167 km/h) four-seamer to Freddie FreemanLAD @ MIL, top 1
Hardest-hit ballMax Muncy (LAD)106.7 mph (172 km/h) single off Abner UribeLAD @ MIL, top 6
Longest home runBrice Turang (MIL)384 ft (117 m), 102.5 mph (165 km/h)LAD @ MIL, bot 4
Unluckiest outGarrett Mitchell (MIL)grounder out, xBA .511, 106.3 mph (171 km/h), caught by SS Mookie BettsLAD @ MIL, bot 8

Stat Lab · Lesson 18: xFIP and home-run luck

Trevor Megill faced five batters in a 2-1 Brewers win over the Dodgers last night. This season he has allowed 1 home run in 61 2/3 innings. A formula built to ignore luck on fly balls says a typical pitcher with his fly balls would have allowed about 8.6. That 7.6-homer gap is the whole story of two famous pitching stats disagreeing.

The idea. xFIP starts from FIP’s idea, counting only the outcomes no fielder touches, and goes one step further: it keeps the strikeouts and walks but swaps the pitcher’s real home runs for the number a league-average pitcher would allow on the same fly balls. The reason is stability. Strikeout and walk rates settle within a few hundred batters, but home runs per fly ball bounce around for years, pushed by wind, parks and a few feet of warning track, so xFIP treats the difference as noise.

The math. The formulas differ only in the home-run term: 13 × HR in FIP, 13 × (fly balls × league HR/FB) in xFIP. So xFIP − FIP = 13 × (expected HR − HR) ÷ IP, and expected HR = HR + (xFIP − FIP) × IP ÷ 13 = 1 + (3.45 − 1.85) × 61.67 ÷ 13 = 8.6. Each homer is worth 13 ÷ 61.67 = 0.211 runs of FIP for him, so the 7.6 missing homers explain the gap: 0.211 × 7.6 ≈ 1.60. Per nine innings: 0.15 real home runs, 1.26 expected.

The scale. Among the 464 pitchers with 30-plus innings, 62% have a FIP and an xFIP within half a run of each other; Trevor Megill’s 1.60 is the ninth-widest. When FIP sits this far below xFIP, the bet is that more of his fly balls start leaving the park and his ERA (2.63) creeps up.

What it doesn’t tell you:

  • Some pitchers really do allow fewer homers per fly ball (elite velocity, pitches hitters pop up), and some home parks really do allow more. xFIP flattens them all to the league rate, so it can be wrong about the same pitcher for years.
  • Even 61 2/3 innings is a small sample for home runs per fly ball.
  • Fly balls themselves are partly a skill: a ground-ball pitcher allows fewer of them, and xFIP does credit him for that. Only the rate per fly ball is treated as luck.

Try it. Pick a pitcher from tonight’s box scores, look up his FIP and xFIP, and back out the homers xFIP expects: HR + (xFIP − FIP) × IP ÷ 13. Does his real total run ahead of the expected one, like Trevor Megill’s 1 against 8.6, or behind it?

Go deeper: MLB Glossary: xFIP · FanGraphs Library: xFIP · FanGraphs Library: SIERA

Check yourself

  • Q1. Why does xFIP replace home runs but keep strikeouts and walks exactly as they happened?
  • Q2. If Trevor Megill had allowed one fewer home run, how much lower would his FIP be? And his xFIP?
  • Q3. A pitcher has a FIP of 4.00 and an xFIP of 4.00. What does that say about his home runs?
Show answers
  • A1. Strikeout and walk rates settle quickly and repeat from year to year, while home runs per fly ball swing widely even for the same pitcher. xFIP keeps the parts that repeat and averages out the part that mostly doesn’t.
  • A2. FIP: 13 ÷ 61.67 = 0.211 runs lower. xFIP: unchanged, because it never used his real home-run total.
  • A3. He has allowed almost exactly the homers a league-average rate on his fly balls predicts; there is no home-run luck to correct.

Transaction Wire

  • Dodgers: status change for LHP Justin Wrobleski (1.9 WAR this season)
  • Dodgers: status change for SS Hyeseong Kim

Around the World

  • KBO (Korea): Wiz 12, Lions 3 · Giants 4, Tigers 1
  • CPBL (Taiwan): Lions 4, Brothers 2 (Challenge Series Game 3)
  • Arizona Fall League: Desert Dogs 4, Saguaros 5 (walk-off)

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Terms in This Post

Drama Index · Leverage Index (LI) · Win Probability Added (WPA) · Hard-Hit Rate (HardHit%) · Barrel · every term in the Glossary


Sources & Notes

Built automatically from MLB Stats API, Baseball Savant, MyKBO Stats and CPBL Stats data; numbers through Oct. 11, 2026, with FIP, xFIP, WAR and wRC+ up to a day behind. Highlight videos link to MLB.com. The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at “www.retrosheet.org”. How this site works