Surge or swoon: September suspense and October glory

A new tool in the Baseball-Reference Play Index allows analysis of player and team performance over any contiguous portion of a season, bounded by team game numbers. Thus, with every team having played at least 149 games as of Sep 15th, here is how this year’s playoff contenders have fared over the twenty games from 130 to 149.

Rk Tm Record
1 LAA 16-4
2 BAL 15-5
3 SFG 13-7
4 LAD 13-7
5 DET 13-7
6 STL 12-8
7 PIT 12-8
8 WSN 11-9
9 TOR 11-9
10 CLE 10-10
11 SEA 9-11
12 KCR 9-11
13 NYY 8-12
14 OAK 7-13
15 ATL 7-13
16 MIL 6-14
Provided by Baseball-Reference.com: View Play Index Tool Used
Generated 9/16/2014.

How have past playoff teams fared going down the stretch? Do hot teams stay hot, or does just making the playoffs render a team vulnerable to an October letdown? Are teams which clinch early better advised to coast down the stretch, or keep the pedal to the metal? More after the jump.

For this analysis, I’m looking at performance in the playoff stretch since multi-round playoffs were introduced in 1969. For stretch, I’m looking at approximately the last 30 games of the season, approximately because teams don’t always play exactly the same number of games. Appropriate allowances have been made for the strike-shortened seasons in 1972, 1981 and 1995,

Here are the season winning percentages for all playoff teams, before and during the stretch drive.

Playoff Team Winning Percentages 1969-2013

Thus, while almost 3/4 of playoff teams play under .600 ball through August, over half (55%) of those same teams will turn in a .600 or better September. Thus, teams below the 12-8 mark so far in this year’s pennant chase will likely have to turn it up a notch (or several notches) if they have serious October aspirations.

Delving a bit further, the chart below shows how playoff teams fared based on their stretch drive winning percentages. The brown bars should be read as “x% of LCS winners had the indicated stretch drive winning percentage”.

Playoff Team Success by Winning Percentage 1969-2013

Mostly in line with the proportion of playoff teams, but with a slight bias towards the teams which finished stronger as 58% of LCS winners finished at a .600 or better clip, compared to 55% of playoff teams overall. That bias grows stronger when looking only at World Series winners, as shown below, with now 64% of WS winners finishing at that same .600+ clip.

World Series Success by Winning Percentage 1969-2013

Note that finishing below .500 or above .700 does not seem a good predictor for playoff success in that the representation of those teams among League and WS champions is about the same as their representation among all playoff teams. Probably that is because playing that well or poorly is likely not indicative of the team’s true performance, and thus unlikely to continue to be maintained into and through the playoffs.

But, before reaching the conclusion that teams must finish strong to have a good shot at playoff glory, let’s first consider the context of “finishing strong”. As in, strong compared to what. As was shown in the first chart, there’s a big difference in playoff team winning percentage before and during the stretch drive. Plotting those winning percentages produces this chart.

Playoff Team Performance Before and During Stretch

The horizontal axis shows the winning percentage before the stretch drive, while the vertical axis shows the change in that winning percentage during the pennant chase. So, teams have improved or regressed in winning percentage by up to 300 points or so with, predictably, the largest stretch drive improvements seen in teams with lower winning percentages before September and, conversely, the largest regressions seen in teams with higher winning percentages before the stretch run. For example, this chart shows that all playoff teams that improved their winning percentage by 200+ points were under .600 before the stretch, and that all playoff teams that regressed by 200+ points were above .600 before September.

I’ve highlighted the area with a pre-stretch winning percentage between .550 and .650 and a stretch drive change between -100 and +100 points. These are the solid clubs that maintained a winning percentage during the stretch drive close to what it was before. The highlighted area comprises a goodly proportion of all playoff teams, though there is a sizable number of teams outside that box, particularly above and to its left, indicating teams below .550 before September and/or which added 100+ points to their stretch drive winning percentage.

But, look what happens when the playoff teams that do not win pennants are removed.

League Champion Performance Before and During Stretch

A large proportion of those teams above and to the left of the highlighted area are now gone. Even the ones that remain are tightly clustered near that box.  Conversely, a considerably lower proportion of the other outliers (those below and to the right) have disappeared. Thus, the weaker outlying teams seldom win pennants regardless of how strong they finish, while the stronger ones still have a reasonable shot, even when they cool off coming down the stretch.

The best predictor, then, of a team’s playoff success is not how it did in the last month of the season, but how it did overall. So, enjoy the scramble for the wild card berths; it is great stuff to watch. But, when late October rolls around, chances are we’ll be seeing the teams that have performed the best all season long and (as was shown in the first list) are maintaining that consistent performance in September. Mostly, those teams will be locking up their playoff berths this week, instead of doing so in a dramatic scramble to the wire that we’ll be seeing next week.

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Brendan Bingham
Brendan Bingham
10 years ago

Doug, Interesting way to break down winning percentages. I’m not challenging your findings, but… Ignoring your boxes and focusing only on the distribution of the underlying data points, it’s pretty clear that the pennant winner set is right shifted relative to the playoff team distribution, indicating that April through August winning percentage is indicative of success in the playoffs (although it’s unclear by how much). Of greater importance to the success of hot-down-the-stretch playoff teams, it’s unclear whether the pennant winner distribution is up- or down-shifted relative to the playoff team distribution. I might suggest expressing the data as bi-variate… Read more »

Arsen
Arsen
10 years ago

Interesting stuff. One thought I had about defining the stretch as the last 30 games of the season is that for many playoff teams some of those games are meaningless. The Angels and the Nationals won’t be very focused on winning the rest of the season and it’s possible that their record of the final 30 games won’t really reflect their record in the final 30 meaningful games they played. This may be a minor factor in why a team’s overall record is a better predictor. They’ve earned the right to take it easy whey the rest of the contenders… Read more »

brp
brp
10 years ago

I always think of the 2007 Rockies, won like 14 of 15 to end the year and then swept the first two rounds of the playoffs, only to get steamrolled by the Red Sox… you can only push so much. That third graph kind of bears that out… if you’ve got to win a ton of games to even get into the playoffs, maybe that takes a toll on the players?

Certainly not looking good for the Brew Crew no matter how you slice it.

Richard Chester
Richard Chester
10 years ago

Longest winning streak to end a season is 15 by the 1960 pennant-winning Yankees. The 1935 pennant-winning Cubs lost their last 2 games of the season but won 21 consecutive games immediately prior to that. And we all know how they fared in the WS of those years.

Voomo Zanzibar
Voomo Zanzibar
10 years ago

5 Hall of Famers in the ’35 Cubs lineup:
(with their WAR indicated)

53.4 … Gabby Hartnett
54.7 … Billy Herman
46.7 … Kiki Cuyler
43.6 … Chuck Klein
28.3 … Freddie Lindstrom !

Will ANY of them get into the COG?
________

They also had a few other guys with more WAR than Freddie:

52.5 … Stan Hack
40.9 … Augie Galan
34.4 … Phil Cavaretta
30.7 … Billy Jurges
24.8 … Woody English

and the pitchers:

43.9 … Larry French
41.9 … Lon Warneke
38.0 … Charlie Root
32.5 … Bill Lee

Voomo Zanzibar
Voomo Zanzibar
10 years ago
Reply to  Voomo Zanzibar

Curious if there is a handy way to search for Teams with most players with X#+ of WAR (or any other stat). Are those 12 Cubbies with 30+ WAR the record? Doubtful. Let’s see, checking by hand and head… I’ll pick a team that I know was loaded with stars (er, former stars) 2004 Yankees: 116.0 .. Alex Rodriguez (active next year) 82.7 … Mike Mussina 71.7 … Derek Jeter (active for the next week) 68.5 … Kevin Brown 68.2 … Kenny Lofton 60.2 … Gary Sheffield 58.0 … John Olerud 56.6 … Mariano Rivera 50.9 … Jason Giambi (active,… Read more »

Voomo Zanzibar
Voomo Zanzibar
10 years ago
Reply to  Voomo Zanzibar

2000 Yanx

14 at 30+
20 at 20+
_________

2000

139.4 .. Roger Clemens
71.7 … Derek Jeter
61.7 … David Cone
60.9 … Andy Pettitte
56.6 … Mariano Rivera
53.5 … David Wells
49.4 … Bernie Williams
48.2 … Dwight Gooden
44.6 … Chuck Knoblauch
42.7 … Jorge Posada
42.3 … Jose Canseco
40.5 … David Justice
38.8 … Paul O’Neill
30.1 … Lance Johnson
29.0 … Ted Lilly
28.8 … Tino Martinez
27.2 … Alfonso Soriano
23.2 … Orlando Hernandez
22.5 … Denny Neagle
20.4 … Roberto Kelly

Dr. Doom
Dr. Doom
10 years ago
Reply to  Voomo Zanzibar

The first team I checked was the 1927 A’s. Famous team loaded with great players.

13 at 30+, 15 at 20+

Ty Cobb – 150.9
Eddie Collins – 123.9
Lefty Grove – 109.9
Jimmie Foxx – 92.4
Al Simmons – 62.3
Zack Wheat – 60.2
Jack Quinn – 59.0
Mickey Cochrane – 52.1
Eddie Rommel – 50.4
Howard Ehmke – 38.9
Rube Walberg – 38.3
Max Bishop – 37.4
Jimmy Dykes – 35.4
Baby Doll Jacobson – 28.4
Sam Gray – 24.3

Richard Chester
Richard Chester
10 years ago
Reply to  Voomo Zanzibar

@9: In 1928 they added Tris Speaker.

Dr. Doom
Dr. Doom
10 years ago
Reply to  Voomo Zanzibar

Next attempt: 1956 Dodgers

11 players 30+
(I’m calling it 11 players over 30, because Newcombe lost 2 years to military service, and I’m preeeeetty sure he would’ve managed a combined .5 WAR had he played)

Duke Snider – 66.5
Pee Wee Reese – 66.3
Jackie Robinson – 61.5
Don Drysdale – 61.2
Sandy Koufax – 53.2
Gil Hodges – 44.9
Junior Gilliam – 40.7
Carl Furillo – 35.1
Sal Maglie – 34.5
Roy Campanella – 34.2
Don Newcombe – 29.5 (military service in Korea cost him 2 seasons)

Voomo Zanzibar
Voomo Zanzibar
10 years ago
Reply to  Voomo Zanzibar

The 2006 Yankees are interesting.

10 at 50+ (the record?)
11 at 49+
12 at 40+
12 at 30+
13 at 20+
_________

116.0 .. Alex Rodriguez
104.3 .. Randy Johnson
82.7 … Mike Mussina
71.7 … Derek Jeter
60.2 … Gary Sheffield
59.9 … Bobby Abreu
56.6 … Mariano Rivera
56.0 … Johnny Damon
51.3 … Robinson Cano
50.9 … Jason Giambi
49.4 … Bernie Williams
42.7 … Jorge Posada
21.3 … Hideki Matsui
17.1 … Melky Cabrera (active)

Voomo Zanzibar
Voomo Zanzibar
10 years ago
Reply to  Voomo Zanzibar

The 2012 Yankees should have at least 15 at 30+ WAR when everyone is finished:

116.0 .. Alex Rodriguez
71.7 … Derek Jeter
62.8 … Andruw Jones
60.9 … Andy Pettitte
58.3 … Ichiro
56.6 … Mariano Rivera
53.9 … CC Sabathia
51.3 … Robinson Cano
48.5 … Mark Tex
37.4 … Eric Chavez
36.1 … Curtis Granderson
35.7 … Fred Garcia
33.0 … Derek Lowe
29.6 … Russell Martin
23.2 … Brett Gardner
23.1 … Nick Swisher
21.3 … Hiroki Kuroda
20.4 … Raul Ibanez
11.0 … David Robertson
10.1 … Phil Hughes

Richard Chester
Richard Chester
10 years ago
Reply to  Voomo Zanzibar

@12: The Yankees had 10 50+ WAR players in 2006, 2007 and 2008. I figured out a way to do it using the PI and spreadsheets but you must do one team at a time.

no statistician but
no statistician but
10 years ago
Reply to  Doug

Doesn’t your pair of lists suggest that there is an inherent bias in WAR toward players in post-expansion years? I’ve checked the 1931 Yankees, noted for having 9 HOFers, all significant contributors, and they have only five with 50+ WAR, although their were 11 with 40+, if you include Dixie Walker’s cup of coffee.

Could it be because WAR is cumulative, and longer careers are more prevalent with better training and treatment of injuries?

Richard Chester
Richard Chester
10 years ago
Reply to  Doug

After seeing this comment of Doug’s I see that, referring to my post #12, you can do all teams at once for batting WAR and pitching WAR separately. To combine the two WARs you can put each list into the same Excel spreadsheet and sum them for each team by year.

Doug
Doug
10 years ago
Reply to  Doug

nsb @16,

Probably the bias to recent teams is related to longer seasons and longer careers. Also, with more teams and more jobs, replacement level is probably intrinsically lower, with a greater range of abilities between the best and worst of major-leaguers.

bstar
10 years ago
Reply to  Doug

nsb: it looks to me like it’s likely the ability of the Yankees and other teams to buy talent off the free agent market that is the driving force here, especially on the pitchers list.