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Advanced Fantasy Baseball Statistics

Updated on February 22, 2010

Fantasy baseball leagues have become very popular. There are leagues for casual and competitive baseball fans. There are fantasy leagues that are free and others that play for money prizes. But most of the fantasy baseball action now takes place online.

The online fantasy baseball leagues make playing easy for everyone. There are leagues with automatic drafts and others that have live drafts. You can create a private fantasy baseball league, select existing leagues or let the software randomly choose one for you. And each fantasy baseball league has its own rules, procedures and protocols.

Regardless of the type of fantasy baseball league you select, one this is consistent - baseball statistics. Baseball statistics determine the points in a fantasy baseball game and therefore the winners and lossers. Major league hitters and pitcher are evaluated based on their respective statistics. Fantasy baseball participants evaluate each player's statistics in the draft, for creating a starting lineup and for making trades. Understanding these statistics and knowing how to score baseball are essentials for being competitive in the fantasy baseball league you choose.

The most common offensive baseball statistics that you need to know are batting average (BA or AVG), home runs HR), runs batted in (RBI) and slugging percentage (SLG). The basic pitching statistics for fantasy baseball include complete games (CG), earned run average (ERA), Innings Pitched (IP), Strike Outs (K), Shutouts (SHO) and Saves (S). To participate in the competitive and money fantasy baseball leagues you must know the game intimately, that includes understanding how to score baseball's most complex situations.

Here are just a few of the many offensive baseball statistics used by advanced Fantasy baseball league players:

Batting Average On Balls In Play (BABIP) is used to determine whether a hitter or pitcher are having an "off" or "fluky" year. BABIP tries to measure the effectiveness of a batter (hitting the ball in play) and a pitcher (keeps the ball in play with the lowest number of hits).
The formula for BABIP is (Hits - Home Runs) / At Bats - Strike Outs - Home Runs + Sacrifice Flies)
If a pitcher has an really high BABIP you could expect the pitcher to improve, and if it is unusually low you can expect him to regress - but there is no guarantee.

Ground Ball Fly Ball Ratio (G/F) is a baseball statistic that indicates the percentage of times a batter hits ground outs to fly ball outs. It can also be used to determine if a pitcher has a tendency to give up more fly balls than ground balls.
The formula for G/F is simply ground outs (G)/ fly outs (F).

GPA, combined with other statistics can certainly help in evaluating players for your fantasy baseball team.

Gross Production Average (GPA) uses the baseball statistics used to calculate On Base Slugging Percentage (OPS) with one exception. OPS puts equal weight on both On Base Percentage and Slugging Percentage. Most baseball experts believe that OBP is more important in evaluating offensive production than Slugging Percentage - so the added weighted value of 1.8 is used to calcuate GPA.

While On Base Slugging Percentage (OPS) is calculated as OBP + SLG ....

SLG is total bases / at bats

OBP is (Hits + Walks + Hit By Pitch) / At Bats + Walks + Sac Flies + Hit By Pitch

... GPA uses a similar formula but adds a weight factor of 1.8 to the OBP.

So the formula for GPA is ((1.8)OBP + SLG) / 4

These uncommon baseball statistics used by fantasy baseball experts help to break down rather general baseball statistics into more measurable ones.


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    • Double Down profile image

      Double Down 7 years ago

      I like to use advanced statistics myself. I'm not a huge fan of GPA for fantasy unless it's a speedster (due to the weight of OBP). I love the inclusion of BABIP in your article. For example Milton Bradley had the highest BABIP by a country mile in 2008. We all know how his 2009 went. Smart fantasy owners avoided Milton on draft day. Another good metric is FIP. Good stuff