Were the 1994 Expos Just Lucky? Estimating the “real” skill level of a team Phil Birnbaum – www.philbirnbaum.com.

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Presentation transcript:

Were the 1994 Expos Just Lucky? Estimating the “real” skill level of a team Phil Birnbaum –

The W-L Record and Luck Imagine a.500 team’s record as a series of 162 coin tosses Heads=Win, Tails=Loss Standard Deviation of wins = 6.3 games In a 30-team league, 5 teams will be better than teams will be more extreme than or 68-94, just by chance

Statistical Evidence of Luck Suppose a team is lucky and wins more games than its talent. How does this happen? Can break down into five non- overlapping ways:

Five Ways to be Lucky Hitters having unexpected “career years” Pitchers having unexpected “career years” Team scoring more runs than expected by their batting line Beating “Runs Created” estimate, perhaps by clutch hitting Team allowing fewer runs than expected by the opposition’s batting line Getting out of jams while opposition “chokes” Team winning more games than expected by its Runs Scored/Runs Allowed Pythagorean Projection -- scoring runs in games where they’re most needed

Players Having Career Years Players can play over their heads Shows up in a player’s career stats as a “career year” Example: Jim Clancy, 1982 From 1980 to 1984, Component ERAs were: 3.60, 4.71, 3.36, 3.96, 4.05 Estimate Clancy was 31 runs better than expected in 1982 At 10 runs per win, the 1982 Jays were “lucky” by three games because of Clancy’s career year

Players Having Career Years This is new research Algorithm to take the previous two years and next two years, and estimate what the player “should have” done in the middle year Rough idea: average the four years, regress to the mean, and adjust for playing time Work in progress – probably not too accurate, but good enough to distinguish lucky from unlucky in most cases Hopefully similar to examining each case “by hand” Algorithm available on request

The 1994 Expos The 1994 Expos went Were they lucky or unlucky? And by how much? We’ll go through the five steps.

1994 Expos Hitters having career years Overall, the Expos hitters created 76 runs more than expected Moises Alou +25, Wil Cordero +18, Larry Walker +16 Mike Lansing –8 had the worst off-year

1994 Expos Pitchers having career years Overall, the Expos pitchers were 49 runs better than expected Butch Henry +20, Jeff Fassero +10, Ken Hill +9 Kirk Rueter –8 had the worst off-year

1994 Expos Expos undershot their runs created by total -29 runs Expos opponents undershot their runs created by 3 runs Expos overshot their Pythagorean Projection by 2.85 wins, or 28 runs

1994 Expos Add it all up +76 = hitters’ career years +49 = pitchers’ career years -29 = runs created +3 = opposition runs created +28 = pythagorean projection Total: +128 runs

1994 Expos The Expos were lucky by +128 runs That’s 12.8 wins – call it 13 wins Instead of 74-40, we estimate their real talent was 61-53

1994 National League East Actual Luck Projected Expos Braves Mets Phillies Marlins

Fun Stuff Which were the luckiest and unluckiest teams from ? Some results surprising to me – for example, the unluckiest team …

The 1995 Toronto Blue Jays The 1995 Blue Jays Hitters were –72 Pitchers were –50 RC –43 Opposition RC –6 Pythagoras –24 Total: -196 runs in only 144 games The Jays were – should have been 76-68

Top Unlucky Teams 62 Mets A’s Blue Jays Indians Mariners … 69 Expos

Luckiest Teams The luckiest team, was, by a very wide margin …

The 2001 Seattle Mariners Hitters were +127 Pitchers were +116 RC -21 Opposition RC +3 Pythagoras +49 Total: 273 runs! The Mariners were ; should have been That same year, the Angels were 11 games unlucky, and should have been The Angels finished 41 games behind Seattle – should have been only 3 games 38 game difference from just luck!

The Luckiest Teams 01 Mariners Yankees Pirates A’s Cardinals Dodgers … 94 Expos Blue Jays

The Best Teams Which were the best teams in terms of talent? That is, after all the luck was stripped out, which teams remained truly great?

The Best Teams Only 3 teams from had an expected talent of 100+ games This seems too small, but makes sense – for instance, there are many players who go 2- for-4, but none who are truly.500 hitters But 21 teams were expected 100-game losers

The Best Teams 1969 Baltimore Orioles Atlanta Braves Atlanta Braves Baltimore Orioles Los Angeles Dodgers Cincinnati Reds 98 … 1992 Toronto Blue Jays Montreal Expos 92

The Worst Teams 1965 New York Mets Toronto Blue Jays Texas Rangers San Diego Padres Seattle Mariners San Diego Padres New York Mets 58 … 1970 Montreal Expos 65

Lucky and Unlucky Players Unusual seasons are not always luck; can be Playing injured Cheating (Norm Cash) Sudden maturation Sudden loss of effectiveness (Steve Blass) Learning a new skill or new pitch For instance, consider the unluckiest player from , who cost his team 6 games by playing below expectations …

Dave Stieb, 1986 Component ERA: 1984, , , , , 2.81 Why did Stieb have a bad 1986? I couldn’t find any evidence of injury. Could it really have been just bad luck?

The Unluckiest Players 1986 Dave Stieb Jeff Fassero Albert Belle Scott Brosius Steve Blass Dennis Lamp Ron Santo Sammy Sosa-45 … 2000 Roy Halladay Carl Morton-38

The Luckiest Players 1972 Steve Carlton Mike Norris Norm Cash Dick Ellsworth John Olerud Ed Correa Billy Grabarkewitz Cal Ripken+52 … 1978 Ross Grimsley Cito Gaston +46

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