Power ratings and run differential favor the Cubs over Phillies, Padres in October

With all three teams at 85-69, DataBaller's power ratings and run-differential data point to Chicago as the team opponents would least want to face, driven by the majors' most potent offense.

Published: · Figures as of September 19, 2026

Asked: The Phillies, Cubs and Padres are tied. Which team would you least want to face in October?

The Cubs are the one to fear, and it's their offense that does it

All three clubs sit at 85-69, but they didn't get there the same way. Chicago's run differential (+141, 821 runs scored to 680 allowed) dwarfs Philadelphia's (+31) and San Diego's (+36), and DataBaller's power rating agrees: the Cubs project as +0.68 runs per game against an average opponent, nearly double Philadelphia's +0.35 and San Diego's +0.39 (power rating v2, as of September 19, 2026, full confidence on all three). If you're picking which of these three you'd rather not draw in a short series, it's Chicago.

The full-season picture

Record R/G RA/G Run diff Power rating
Cubs 85-69 5.33 4.42 +141 0.681
Phillies 85-69 4.46 4.26 +31 0.347
Padres 85-69 4.39 4.16 +36 0.385
Power Rating vs. Season Run Margin, Runs per Game — Runs per game
TeamPower rating (vs. avg opponent) (runs per game)Season run margin (runs per game)
Phillies0.3470.20
Cubs0.6810.92
Padres0.3850.23
  • league-average team: 0 runs per game

The team-sustainability model reinforces it rather than undercutting it. Chicago's actual winning percentage (.552) is running about 5.1 wins behind what its scoring margins support (implied .585) - still inside the band the model calls "in line," so it isn't calling the record inflated by luck, but if anything the Cubs' underlying performance has been stronger than 85-69 shows. Philadelphia and San Diego are on the other side of that same "in line" band - each running about 4.5 wins ahead of what their modest margins imply - so their records are, if anything, the more flattered of the three.

The decomposition also says where Chicago's edge comes from: the model's margin-scored figure (13.3) sits well above its margin-allowed figure (11.2), a larger gap than either Philadelphia's or San Diego's, meaning the rating is built on the bat, not the arm. That tracks with the roster - Pete Crow-Armstrong at 44 home runs, 212 team home runs against Philadelphia's 179 and San Diego's 174. Chicago's pitching is unremarkable (Kevin Gausman's 4.55 ERA leads the rotation workload), so the case against them is about outscoring people, not shutting them down.

Where it gets complicated: San Diego is the hottest team of the three right now

The Padres have won 9 of their last 10, outscoring opponents 7.1 to 4.4 a game, and they've got the best bullpen arm in this group in Mason Miller (1.12 ERA, 119 strikeouts in 64⅓ innings). But four of those last five wins came against Colorado, the worst team in baseball at 56-98, plus one over Miami - their last-10 opponents' average winning percentage was .413, well below league average. Chicago's last 20 games, by contrast, came against a materially tougher slate (.548 opponent win percentage, including a series with Atlanta) and it still posted a +1.1 run margin per game. Philadelphia's front three of Cristopher Sánchez, Zack Wheeler and the since-injured Jesús Luzardo (all sub-3.00 ERA) is the best top-of-rotation arms of the group on paper, but Luzardo was placed on the injured list twice this month (September 12 and 15), which is a real question mark for a short series if it isn't resolved by October.

Bottom line: on full-season strength - power rating, run differential, and a sustainability read that says their record undersells them - the Cubs are the team you'd least want to see across the diamond in October, on the strength of the best offense of the three. San Diego's recent form is real but was built against weak competition and shouldn't be read as the stronger current form ahead of Chicago's tougher slate. Medium-high confidence: the power rating and run-differential gap are large and consistent, but none of this accounts for who each team would actually run out as a starter in a given October game, which the data here doesn't project.

This analysis was generated by DataBaller from licensed sports data and reflects the data available on the date above. It is not official league data. Provided as-is; data may contain errors.