Power Rankings, August 6

LAD lead by run differential; DET have the widest gap between their record and how they have played.

Ranked by run differential rather than by record, because that is the part that predicts the next month. A team's W-L is full of one-run games, and a one-run game is close to a coin flip; how many runs they score and allow is the signal underneath it. The league is averaging 4.49 runs a game, from 3.89 at the bottom to 5.30 at the top.

The rankings

#TeamRecordExpectedGapRuns/gmAllowed/gmLast 10
1LAD69-45.625-0.0205.073.833-7
2MIL70-43.624-0.0054.973.776-4
3ATL68-45.600+0.0024.893.927-3
4CHC65-49.583-0.0135.134.276-4
5NYY64-50.579-0.0184.573.845-5
6BOS61-51.573-0.0284.363.718-2
7DET55-58.568-0.0814.543.916-4
8CHW59-53.538-0.0114.764.385-5
9TB67-46.535+0.0584.484.157-3
10PIT57-58.523-0.0275.084.834-6
11MIA58-56.510-0.0014.374.276-4
12WSH55-60.506-0.0285.305.232-8
13PHI61-53.504+0.0314.394.365-5
14ARI60-54.501+0.0254.544.535-5
15SEA55-59.495-0.0133.984.034-6
16SD59-55.490+0.0284.234.328-2
17STL56-58.489+0.0024.354.463-7
18CLE57-57.480+0.0203.934.113-7
19HOU59-56.480+0.0334.664.878-2
20BAL55-58.471+0.0164.514.815-5
21MIN56-58.471+0.0204.684.995-5
22TEX56-58.464+0.0274.134.473-7
23SF48-66.455-0.0344.204.644-6
24NYM48-66.450-0.0294.064.545-5
25CIN54-58.443+0.0394.174.726-4
26TOR53-61.441+0.0243.894.436-4
27LAA43-70.432-0.0514.174.842-8
28COL45-69.422-0.0274.865.774-6
29KC47-67.411+0.0014.175.074-6
30ATH45-68.377+0.0214.355.721-9

Playing above their runs

These teams have a better record than their scoring and run prevention support. That gap is usually one-run luck and a good bullpen, and it is the part of a record least likely to continue.

#TeamRecordExpectedGapRuns/gmAllowed/gmLast 10
9TB67-46.535+0.0584.484.157-3
25CIN54-58.443+0.0394.174.726-4
19HOU59-56.480+0.0334.664.878-2
13PHI61-53.504+0.0314.394.365-5
16SD59-55.490+0.0284.234.328-2

Playing below their runs

The reverse, and the more useful half for fantasy: these lineups and staffs have been better than the standings suggest, so their hitters are the ones most likely to be under-valued by anyone reading the record.

#TeamRecordExpectedGapRuns/gmAllowed/gmLast 10
7DET55-58.568-0.0814.543.916-4
27LAA43-70.432-0.0514.174.842-8
23SF48-66.455-0.0344.204.644-6
24NYM48-66.450-0.0294.064.545-5
12WSH55-60.506-0.0285.305.232-8

Best and worst run environments

The fantasy read on a team ranking. Shares of a lineup scoring five and a half runs a game are worth more than the same player on a team scoring four, and the pitchers facing those lineups are worth less.

Best offensesRuns/gmBest run preventionAllowed/gm
WSH5.30BOS3.71
CHC5.13MIL3.77
PIT5.08LAD3.83
LAD5.07NYY3.84
MIL4.97DET3.91

What this means

Detroit is the whole story here. A 55-58 record next to a .568 expected win rate is an eighty-one point gap, by far the widest in either direction on this table, and it is pointed the wrong way. The Tigers have scored 4.54 runs a game and allowed 3.91. That +0.63 per game is inside a rounding error of the Yankees at +0.73, and New York is 64-50. Same run profile, nine games apart in the standings.

The mechanism is sequencing, and specifically the failure to bunch runs when they matter. Nothing in this data tells you whether that is a bullpen handing back leads or an offense that piles up its runs in games already decided, and I am not going to pretend the columns distinguish those two. What the columns do say is that the total run production is comfortably above average and the run prevention is fifth best among the thirteen clubs listed, better than Atlanta's 3.92 and better than Chicago's 4.27. Fantasy scoring does not care about the sequence. It cares about how many runs cross the plate and who was on base when they did.

So the practical read: Detroit hitters are being valued off a losing record that their own runs do not support. If your league mates discount a Tigers bat because the team is under .500 and looks like a seller, that is a pricing error you can buy. The counting stats live off 4.54 runs a game, a figure that ranks ahead of Boston's 4.36 and the Yankees' 4.57 is barely above it. Offer for the bat, not the standings line.

The strongest case against me is that the gap is not noise at all. Eighty-one points is enormous, and a team that has bled that much of its differential away has usually done it by losing close games late, which is exactly the profile of a club that shops in July rather than buys. If Detroit has genuinely stopped trying to win the close ones, lineup construction gets worse, the top of the order gets rested, and the runs-per-game figure that underpins my whole argument starts falling. That is the falsifier, and it is a clean one. Watch runs scored per game, not the record. If Detroit is still putting up 4.5 a game a month from now, the record was the lie. If that number slides toward the Angels' 4.17, I was wrong and the standings were telling the truth first.

The mirror image is Tampa Bay, and it is the more dangerous position to hold. The Rays are 67-46, third best record on this list, on a .535 expected mark and a +0.058 gap. They have scored 4.48 and allowed 4.15, a differential of a third of a run per game, which is closer to the White Sox than to Milwaukee. A 7-3 last ten will keep the illusion alive for a while. It should not fool you. Rays hitters are being credited with a contender's run environment they are not actually producing, and the runs and RBI have to come from 4.48 a game like everyone else's.

The action is straightforward. Sell a Rays bat into the record, buy a Tigers bat against it, and accept that the cost of being wrong on Detroit is real: if the deadline gutted the lineup, you bought counting stats from an offense that is about to stop generating them. I would take that risk at the discount the standings are handing you.

How to read this

Expected win percentage comes from runs scored and allowed, using the standard 1.83 exponent. It is a better guide to the next month than the standings are, which is the entire reason to rank teams this way rather than reprinting a table anyone can find.

The gap column is what the standings are crediting to luck. Across the league its median is essentially zero, so a team out at either tail has genuinely diverged from how it has played rather than drifted a little.

Runs per game is the column to use for fantasy. It is the team-level version of the same thing an implied total says about one night, and it is why a good hitter on a good offense outruns an equally good hitter on a bad one.

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