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Quick question: What is the difference between the + and # in the stats, ie OBP# vs OBP+ ?

# normalized value

+ relative to the league average (100 means league average)

I understand the relative to the league average but what does "normalized value" mean?

Quote: Originally posted by papi7 on 1/21/2010I understand the relative to the league average but what does "normalized value" mean?

#765 General Q. What is normalization?

A. Normalization is adjusting a player's stats to a situation where not all the reference points are the same.

Our engine uses Log5 normalization. For instance, every batter-pitcher matchup uses it. There are 4 key pieces to the algorithm: the hitter's stat, the pitcher's stat, the league average from the hitter's season and the league average from the pitcher's season. The final value can go up or down based on the relationship of the 4 values. This algorithm hammers home the point that a .280 hitter from a season where the league average was .250 is more valuable than a .280 hitter from a season with a league average of .275. And that it's more difficult to get a hit off a pitcher with a .240 OAV from a season with a league average of .255 than a pitcher with a .240 OAV from a season with a league average of .250.

We attempt to represent these values broadly in our Player Search using our "norm" values represented with the "#" sign (such as OAV# or OPS#). These values use the historical averages for the pitcher's stat and the pitcher's league average.

We also use Log5 normalization for fielding and determining errors. The 4 key pieces here are: fielder's fielding percentage (FPCT), the league average from the fielder's season at the position, the league average from the hitter's season at the position and the league average from the pitcher's season at the position.

We also represent these values broadly in our Player Search (FPCT#). These values use the historical averages for the pitcher's league average and the batter's league average.

I'm sure somebody will post a link here with a full detailed description.

But the basic concept is that a .300 hitter in 1930 isn't the same as a .300 hitter in 1968.

Example:
'68 Yastrzemski .301 avg, .319 avg#, 131 avg+
'30 Dykes .301 avg, .288 avg#, 105 avg+

if you based your team solely on avg, you think that these two players have the same relative value when it comes to batting average, when clearly Yaz is much better.

It basically comes out to the same thing then. i like to use the + to get a sense of where a player is compared to the 100 average. The # seems to give you a more specific number to judge a player by.

1968 Hoyt Wilhelm

site mail sent

The thing I like most about leagues like this is it`s so hard to predict the outcome. It's like a battle of the All-Stars.

Perhaps a future challenge for this theme might be a cap, schwarze?

2000 Luis Gonzalez--last pick who will get on the field.