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Who Wins?
2004-07-27 12:32
by Mike Carminati

Oftentimes, to win us to our harm,
The instruments of darkness tell us truths,
Win us with honest trifles, to betray’s
In deepest consequence.

—"Dave" Banquo in William "Author" Shakespeare's Macbeth

To win by strategy is no less the role of a general than to win by arms.

—Julius "Matos" Caesar

The high sentiments always win in the end, the leaders who offer blood, toil, tears and sweat always get more out of their followers than those who offer safety and a good time. When it comes to the pinch, human beings are heroic.

—George "Bamberger" Orwell, who obviously never read the ending to his book 1984.

Wesley: Excuse me? Is this something we should all be talking about?

Angel: No... it was mostly... theoretical.

Spike: Look, if cavemen and astronauts got into a fight, who would win?

Wesley: You've been arguing for forty minutes about this. (thinks) Do the astronauts have weapons?

Spike, Angel: No. (in unison)

—(Anaheim) Angel

Winning, that's the point of the game. Even a Phils fan like myself knows that.

So which are the teams that win? Well, obviously teams with more talent win more often. However, how do you measure that? Is it more due to their offensive prowess or pitching skills and how to quantify that?

A team's winning percentage in one-run ballgames is often cited by analysts (right after telling you a certain batter is 2-for-6 with a homer off a certain pitcher, as if that has any meaning). Are there certain traits, like winning close ballgames, that winning teams display? Can one predict a team's success from how they perform under certain conditions like close ballgames?

OK, enough with the question. After being directed to Baseball Reference's situations splits page by my friend Gregor Gross, and after kvelling an appropriate amount of time, I attempted to address these issues.

For offensive stats, I used the yearly team batting ratios: average, on-base, slugging, and OPS. For pitching, the following stats were recorded each year for each team: ERA, WHIP (walks plus hits per innings pitched), Strikeout-to-walk ratio (K:BB), Strikeouts-per-nine-innings (K/9IP). Then all stats were adjusted for by dividing by the league average. Finally, they were each compared against the team winning percentage and then the correlation coefficient, or how well each set of data corresponds to winning percentage, was determined for each decade and for all-time. I also adjusted the batting and pitching stats by the team's home ballpark factor and re-ran the correlation.

Then, I took the situational winning percentage for a set of criteria and tried to see how well each correlated to overall winning percentage. Those situations, which I kind of picked out of a hat, were the team's yearly record in home games, road games, one-run games, games won by no more than three runs ("Save" games), low-scoring games (five or less total runs), high-scoring games (10 or more total runs), and games with a large margin of victory (five or more runs). I also took the runs scored for and against in the above situations and calculated the expected winning percentage to determine if that correlated to overall winning percentage better (using the 1.83-exponent Pythagorean formula).

So without further ado, here are the results such as they are:

Battting

DecadeBA ALOBP ALSLUG ALOPS AL
Total0.6740.7240.6890.735
1870s0.7920.7950.8020.805
1880s0.7400.7830.7100.755
1890s0.7470.7460.7120.759
1900s0.6840.7500.6890.754
1910s0.6070.6420.6530.686
1920s0.6690.7170.6950.739
1930s0.6350.6910.7180.735
1940s0.6980.7380.7090.759
1950s0.6530.7250.7210.771
1960s0.6050.6080.5900.627
1970s0.6370.7020.7060.754
1980s0.5090.6150.5950.655
1990s0.5040.6590.5630.644
2000s0.5480.6970.5760.642

Of course, as baseball matured batting average became less important to winning, but don’t tell Joe Morgan. Overall OPS correlates best to winning percentage, but in the 2000s OBP is beating OPS, which was a bit of a surprise.

Park-adjusted Batting

DecadeBA ALOBP ALSLUG ALOPS AL
Total0.6080.6420.6670.695
1870s0.7250.7260.7570.752
1880s0.6580.6800.6510.684
1890s0.5520.5240.5660.578
1900s0.5450.5960.6110.655
1910s0.5580.5830.6370.654
1920s0.6290.6580.7150.738
1930s0.5970.6520.7180.725
1940s0.5330.6290.6560.693
1950s0.6260.7460.7260.781
1960s0.5840.5750.6170.652
1970s0.6270.6670.7470.785
1980s0.5310.6080.6320.676
1990s0.5340.6000.6230.669
2000s0.5940.6410.6280.662

When you adjust for ballpark OPS does beat OBP. However, you'll notice that none of these correlations is very strong.

Pitching

[Note: negative correlation just means that as one goes down the other rises, but still expresses a correlation. E.g., as ERAs go down winning percentages tend to go up. Makes sense.]

DecadeERA ALWHIP ALK-BB ALK-9IP AL
Total-0.781-0.7610.4580.321
1870s-0.819-0.7590.0710.118
1880s-0.829-0.8390.4980.399
1890s-0.818-0.8340.5980.377
1900s-0.811-0.7790.5930.357
1910s-0.783-0.7530.5730.382
1920s-0.759-0.7400.6610.464
1930s-0.794-0.7580.7390.604
1940s-0.813-0.7590.6490.492
1950s-0.796-0.7600.6160.487
1960s-0.727-0.7050.5250.359
1970s-0.689-0.7220.558-0.010
1980s-0.657-0.6740.4840.195
1990s-0.663-0.6520.5550.355
2000s-0.764-0.7690.6060.443

ERA correlates best here overall, though WHIP has surpassed ERA in the 2000s. The strikeout ratios are gaining strength but still don't correlate very well.

Park-Adjusted Pitching

DecadeERA ALWHIP ALK-BB ALK-9IP AL
Total-0.782-0.7310.4630.334
1870s-0.811-0.7300.0710.119
1880s-0.835-0.8310.4800.365
1890s-0.816-0.8260.5860.344
1900s-0.818-0.7830.5870.358
1910s-0.769-0.7020.5880.426
1920s-0.745-0.6880.6720.497
1930s-0.786-0.7040.7540.633
1940s-0.816-0.7370.6580.509
1950s-0.794-0.6640.6510.553
1960s-0.738-0.6850.5330.399
1970s-0.707-0.7010.5740.030
1980s-0.644-0.6080.5060.240
1990s-0.674-0.6130.5630.377
2000s-0.789-0.7350.6090.445

ERA does surpass WHIP after the park adjustment, like OPS and OBP in batting.

Situational

DecadeHome Win%Home Exp Win%Road Win%Road Exp Win%
Total0.8970.8690.8970.866
1900s0.9130.8760.9290.900
1910s0.9180.8850.9150.896
1920s0.9230.9030.9260.903
1930s0.9360.9140.9320.900
1940s0.9060.8710.9000.903
1950s0.9020.8910.9080.872
1960s0.8870.8750.8840.852
1970s0.8920.8650.8560.812
1980s0.8500.8040.8620.798
1990s0.8510.8110.8560.822
2000s0.8860.8750.8970.855

Home and road records correlate equally well to winning percentage though for the last 25 years, road records have ruled. Also the expected home record beats out the road one. However, both of these are pretty strong correlations, which makes sense since they comprise about a half a season each.

DecadeOne-run Win%One-run Exp Win%Save Win%Save Exp Win%
Total0.6220.6220.8880.866
1900s0.7590.7550.9220.915
1910s0.7440.7280.9250.901
1920s0.6380.6380.8870.863
1930s0.5660.5610.9000.887
1940s0.5700.5650.8860.870
1950s0.5880.5920.8640.867
1960s0.6760.6660.9190.885
1970s0.5670.5470.8650.841
1980s0.6240.6150.8800.836
1990s0.5660.5730.8280.795
2000s0.5200.5320.8850.883

One-run record don't correlate well and are doing worse as time goes by. "Save" records, close games, do correlate fairly well, which is why, I guess, they came up with the concept of a save in the first place.

DecadeLow Scoring Win%Low Scoring Exp Win%High Scoring Win%High Scoring Exp Win%
Total0.6920.6940.8690.846
1900s0.7950.7940.9100.875
1910s0.8300.7950.8330.810
1920s0.6210.6050.9170.910
1930s0.7290.7370.9230.908
1940s0.7920.8320.9090.885
1950s0.6950.7230.8850.879
1960s0.7450.7320.8400.804
1970s0.6600.6570.8470.815
1980s0.6410.6020.7660.731
1990s0.5760.5720.8370.814
2000s0.5560.5650.8830.858

This one's odd: Low-scoring record don't correlate very well at all, but high-scoring correlates extremely well, better in fact than based on the expected winning percentage. Maybe the Rockies should take note.

DecadeLarge Margin Win%Large Margin Exp Win%
Total0.8620.851
1900s0.8930.887
1910s0.8620.847
1920s0.9180.903
1930s0.9060.900
1940s0.8910.881
1950s0.8650.872
1960s0.8620.846
1970s0.8400.827
1980s0.7730.749
1990s0.8040.801
2000s0.8630.865

Again, it looks like higher scoring affairs are better predictors of a team's success or at least correlate better to their winning percentage. Perhaps this is due to a low-scoring game being more based on the pitchers' performance than the teams as a whole.

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