What is obp in baseball ? Major League Baseball viewership has gradually declined since its peak in 2007, according to Baseball Reference. Because of what MLB commissioner Rob Manfred calls “organic changes,” the game’s most exciting plays, such as base-stealing, now happen less often, according to Bleacher Report. Strikeout rates have also increased.
Hall of Fame reliever Goose Gossage said in a 2018 Bleacher Report article , “I try to watch a baseball game, and I find it very difficult to be able to watch today.”
Baseball also has plenty of statistical jargon first-time viewers may not immediately understand. If you’re new to baseball lingo, here’s what you need to know
Who has the highest OPS in baseball?
The best career OPS in baseball history belongs to none other than Babe Ruth, who boasted an OPS of 1.164 at the time of his retirement, according to Baseball Almanac.
As of September 2022, Los Angeles Angels center fielder Mike Trout has the highest career OPS among active MLB players, at 1.002. Trout is also ranked eighth in baseball history by career OPS, according to Baseball Almanac.
What is OBP in baseball?
OBP stands for “on-base percentage.” This term refers to the frequency with which batters reach base per plate appearance – including hits, walks and hit-by-pitches. It can also be called “on-base average.”
To calculate this number for each player, divide a player’s number of plate appearances by the number of times the player reached base.
The metric does not include errors, times reached on a fielder’s choice, dropped third strikes or sacrifice bunts.
Who has the highest OBP in baseball?
The highest career OBP in baseball history belongs to Ted Williams, who retired with an OBP of .4817, according to Baseball Reference.
In addition to the highest OPS, Trout also has the highest career OBP of all active MLB players, at .4154. Trout is also ranked 26th in baseball history by career OBP, according to Baseball Reference.
What is SLG in baseball?
SLG stands for “slugging percentage,” a term that represents the number of bases a player earns per at-bat
The biggest difference between a slugging average and a batting average is that a slugging percentage does not value every hit equally. Batting averages are calculated by dividing total hits by at-bats, but the formula for SLG is more complex.
What does OBP include?
OBP includes many different ways that hitters can safely get on base. The stat includes hits, walks, and batters hit by pitch. An important thing to remember is that this statistic can show you how often a player reaches base safely (not as a result of an error) and not just how many times they get a hit. It also does not measure or differentiate extra-base hits from the statistic. It is a helpful measure to see which of your players are getting on base safely per plate appearance. This does not include times that the batter reaches base because of an error made by the defense (throwing errors or dropped third strikes for example).
How do you measure OBP?
To calculate OBP, the first thing that you need to do is collect the following statistics for each player you are trying to calculate: hits (h), walks (bb), hit by pitch (HBP), at-bats (ab), and sacrifice flies.
Using the data from the stats above, you take the sum of hits, walks, and hit by pitch and divide it by the sum of at-bats, walks, hit by pitch, and sacrifice flies. If you are a visual equation person, it looks like this:
(H+BB+HBP) / (AB+BB+HBP+SF) = OBP
Note that the equation does not take into account sacrifice flies or errors. The easy way to think about this is that plays where the batter reaches base safely, without error, will increase their OBP. If they get out or only reach base because of an error on the defense, then their OBP will go down.
Is OBP better than batting average?
This is a good question. The answer will depend on what you try to prove (or disprove) with the statistic. If you are trying to show which hitters are better and making contact with the ball and reaching base, then you will stick with the batting average. If you are looking to find players that can reach base safely – then you will probably use OBP.
Think of this another way. For the 1,2, 8, and 9 spots of your batting lineup, you are looking for players who get on base. It doesn’t matter as much how they get on base, but you want to have base runners in those spots. In those spots, you want players that have a higher OBP. The third batter in your lineup is generally your best hitter – because they are potentially in a spot to drive runners in. The 4,5, and 6 slots are also potential RBI machines. OBP may not be as necessary for those spots.
Batting average is a quick and easy statistic that has been used for decades. It does tell us a lot about a hitter, but the downside is that you can have a hitter who is in a “slump” but hitting the ball hard – just right at people. They could still be driving in runs during that time. Meanwhile, if a player has a lower OBP, they are likely not scoring runs or creating opportunities for runs to be scored. Hitting is important, but if your team hits well and doesn’t score as well – it makes it more difficult for them to win ballgames.
One game, a season, or a career?
The number of at-bats you choose to use to measure OBP will have a tremendous impact on the stat. In short, the sample size for any stat matters, but let’s look at why it is important here.
For example, if you choose to use the snapshot of a single game, many variables could impact that number. If the pitcher that day has no control and walks some batters, your OBP could be skewed because of a high number of walks or HBP. Or if a hitter is dealing with an injury and has one bad game their OBP could be skewed negatively.
If you are looking at the OBP for a season, it could be dependent upon what role the hitter plays in the lineup. If they are the second or third hitters, perhaps they are simply putting the ball in play and driving in runs rather than getting on base. However, the sample size of a season is going to show both the highs and lows of a season rather than just the slumps or a hot streak.
If you are a coach looking to evaluate a player, this is a good stat to use over larger sample size. You are not going to get an effective measure of a player from an isolated game.
If you are looking at comparing players’ careers you will have an even larger sample size. The OBP would be a great stat to use to compare players who play the same position or are similar hitters.
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