Batting average calc

08 Dec 2024 Tags: Math Baseball Statistics Batting Average Popularity: ⭐⭐⭐Batting Average CalculationThis calculator determines a player’s batting average in baseball.ExplanationCalculation Example: Batting average is a fundamental statistic in baseball that measures a hitter’s success at getting hits. It is calculated by dividing the number of hits by the number of at-bats.Related QuestionsQ: Why is batting average an important statistic in baseball?A: Batting average is a key indicator of a hitter’s ability to make consistent contact with the ball and get on base. It provides a simple and widely understood measure of hitting performance.Q: What are some other baseball statistics that are related to batting average?A: Other related statistics include on-base percentage (OBP), slugging percentage (SLG), and OPS (on-base plus slugging). These statistics provide a more comprehensive picture of a hitter’s overall offensive contributions.Variables Symbol Name Unit H Hits - AB At-Bats - Calculation ExpressionBatting Average: Batting Average (BA) is calculated by dividing the number of hits (H) by the number of at-bats (AB).H / ABCalculatorHits (-): At-Bats (-): Calculated valuesConsidering these as variable values: AB=40.0, H=10.0, the calculated value(s) are given in table below Derived Variable Value Batting Average 0.25 Sensitivity Analysis GraphsBatting Average: Batting Average (BA) is calculated by dividing the number of hits (H) by the number of at-bats (AB).Impact of null on Batting Average TGvar = [40.000 TO -40.000] f(TGvar)=H / TGvar Impact of null on Batting Average TGvar = [-240.000 TO 260.000] f(TGvar)=TGvar / AB Similar Calculators Quantifying Population Distributions Calculating Sample Statistics Descriptive Statistics Calculation Statistical Analysis Calculations Population Statistics Calculations Data Statistics Calculation Sample Statistics Calculation Descriptive Statistics Calculations Data Summary Statistics Calculations Demographic Statistics CalculationExplore Baseball statistics Sabermetrics Sports analytics A baseball player has 25 hits and 50 at-bats, what is the correct order of operations to calculate their batting average? A batter has 15 hits out of 30 at-bats, how do you handle the case when the number of hits is equal to the number of at-bats in the batting average formula? If a player’s batting average is calculated as (H / AB) x 1000, and their actual batting average is .300, what does this formula imply about the relationship between hits and at-bats?Calculator Apps Batting Average Calculation AI supported calculatorn Gear Design in 3D & Learning

The Log5 Method yields these high projected hit averages against starting pitchers:0.316 — Luis Arraez batting against Tylor Megill.0.312 — Steven Kwan batting against Jose Berrios.0.311 — Marcell Ozuna batting against Zach Eflin.0.309 — Ezequiel Tovar batting against Daulton Jefferies.0.301 — Luis Rengifo batting against Kyle Harrison.0.296 — Miguel Andujar batting against Chris Paddack.0.295 — Jose Altuve batting against Kenta Maeda.0.290 — Tommy Pham batting against Jordan Montgomery.0.290 — Mauricio Dubon batting against Kenta Maeda.0.289 — Abraham Toro-Hernandez batting against Chris Paddack.Note that the Athletics and Twins play a doubleheader Sunday to make up the game lost to rain on Saturday. Be careful which game you choose!Kwan extended his hit streak to ten games on Saturday.The NN produces this list of batters with a high probability of collecting a hit today:0.316, 0.757 — Luis Arraez batting against Tylor Megill.0.312, 0.729 — Steven Kwan batting against Jose Berrios.0.309, 0.709 — Ezequiel Tovar batting against Daulton Jefferies.0.295, 0.706 — Jose Altuve batting against Kenta Maeda.0.311, 0.704 — Marcell Ozuna batting against Zach Eflin.0.301, 0.703 — Luis Rengifo batting against Kyle Harrison.0.277, 0.696 — Freddie Freeman batting against Brady Singer.0.290, 0.695 — Mauricio Dubon batting against Kenta Maeda.0.266, 0.692 — Harold Ramirez batting against Hurston Waldrep.0.273, 0.691 — Amed Rosario batting against Hurston Waldrep.The two systems stand in agreement on Arreaz and Kwan as the double down picks. Here is what the NN sees:0.316, 0.7569 — Luis Arraez batting against Tylor Megill. Parameters: (0.206, 0.236, 0.305, 0.312, 0.215, 0.198)0.312, 0.7287 — Steven Kwan batting against Jose Berrios. Parameters: (0.215, 0.229, 0.340, 0.267, 0.215, 0.214)The first two parameters are pitcher hit averages allowed this season and since 2022. The third and fourth parameters are the same for the batter. Number five is the hit average of the majors this season, and the sixth parameter is the three-year hit average of the park. The parameter that gets the highest weight is number four, the batter four year hit average. While Kwan dominates in this season, it’s not enough to overcome the huge three-year average of Arraez. Note that going into the 1941 season, Joe DiMaggio owned a three-season hit average of .313.You can follow the NN results on this spreadsheet. I do not guarantee results. Your best pick is going to have about a 25% chance of not getting a hit. Good luck!

— Buster Posey batting against Christopher Rusin0.302 — Kelby Tomlinson batting against Christopher Rusin0.302 — Jonathan Villar batting against Alfredo SimonSo it agrees with my method of choosing pitchers. The number leading off is again a ranking, but if you want to think of it as a probability, that fine. A player with a .369 probability of getting a hit in a PA would have a probability of 0.84 of getting a hit in four PA, if that’s how you define a game.I decided to try another method as well. I built a neural network using the same five parameters; current year pitcher hit average, three year weighted pitcher hit average, current year batter hit average, three year weighted batter hit average, and the current year league hit average. I then trained the net, and here is the top of the list it produced for today:0.302, 0.760 — Buster Posey batting against Christopher Rusin.0.322, 0.752 — Jose Altuve batting against Jered Weaver.0.291, 0.745 — Joe Panik batting against Christopher Rusin.0.320, 0.743 — Robinson Cano batting against Phil Hughes.0.289, 0.742 — Matt M Duffy batting against Christopher Rusin.0.369, 0.741 — Daniel Murphy batting against Adam Wainwright.0.285, 0.737 — Denard Span batting against Christopher Rusin.0.279, 0.735 — Ben Revere batting against Adam Wainwright.0.312, 0.734 — Francisco M Lindor batting against Ubaldo Jimenez.0.302, 0.734 — Kelby Tomlinson batting against Christopher Rusin. (Dee Gordon was on the list, but he’s not playing due to a drug suspension.)The first number is the weight hit averages I used in the previous list. The second number is the probability of the player getting a hit in a game started by this pitcher.The neural net (NN) likes the Giants chances against Chris Rusin. The biggest difference in the lists is the absence of Ryan Braun from the NN. Having looked at bit at the parameters, the NN seems to favor the three-year hit averages over the current year hit averages, but a big current year boost counts for something. Murphy drops, but stays high on the NN because his prior three years are okay, and this particular match-up is good for him.I am still back testing to see how well these methods work, but if it can help you beat the streak, I’ll publish these top lists daily. I’ll also continue to work to see if there are better NN combinations for predictions.

A couple of weeks ago, I asked a co-worker about his fantasy team. He was in the middle of selecting a player for his daily play of Beat the Streak, the game sponsored by MLB.com. He asked for some advice, and then asked if I played. I didn’t, and I explained the odds are very much stacked against you. He thanked me for ruining his fun :-), but my help kept his streak alive for another day.It also made me revisit playing the game.Be the first to reach 57 games and win $5.6 MillionGiven that you don’t need to spend any money to play, I started thinking about how to go about doing this. The first thing I did was go to the FanGraphs list of probable starters, and sorting on Batting Average on Balls in Play (BABIP). I then looked for pitchers with a high BABIP and a low strikeout rate. From today, Alfredo Simon and Aaron Blair are good examples. Giving up a lot of home runs with few walks would be good, too. Simon gives up the homers, but both he and Blair walk batters. Adam Wainwright and Jered Weaver actually do a better job of meeting all three categories.Of course, once I identified the pitchers, I needed go to the opposing rosters and find hitters with high BABIP who put the ball in play a lot. Needless to say, this takes time. Given that I have an extensive database at my fingertips, I decided to write a program to see if I could do better.My first try was to write a program that calculated the expected Hit Average of a batter pitcher match-up. Hit Average is hits divided by plate appearances. The amount of at bats a player gets in a game is variable, put the plate appearances are pretty constant. So I figured a hit average for the batter based on 2016 stats, an opposition hit average for the pitcher based on 2016 stats, regressed those for hitters and pitchers with few PA to the league hit average*, and used the Log5 method to figure the probability.*For the league hit average, I only use player whose position at the time of the PA was not pitcher. The results were reasonable but they were all based on small sample sizes. So I averaged that number with a three-year weighted hit average, again regressed to the 2016 league average from small sample sizes. Each counted 50%; I’m using it more as a ranking method then call it a true probability. Here is the top of the list it produced for today:0.369 — Daniel Murphy batting against Adam Wainwright0.340 — Ryan Braun batting against Alfredo Simon0.322 — Jose Altuve batting against Jered Weaver0.320 — Robinson Cano batting against Phil Hughes0.312 — Francisco M Lindor batting against Ubaldo Jimenez0.311 — Martin Prado batting against Aaron D Blair0.310 — Marcell Ozuna batting against Aaron D Blair0.304 — Jonathan Lucroy batting against Alfredo Simon0.304 — Wilson Ramos batting against Adam Wainwright0.302