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Sports   Mogul   blog

Reaching Base on Error

12/14/2023

1 Comment

 
I’ve done a ton of research over the years for Baseball Mogul and Football Mogul and I think it makes sense to try to share it so it doesn’t get lost to the sands of time.

Today’s post is about batters reaching base on an error. Most baseball simulations use the defense's stats to determine if a fielder commits an error — but ignore the fact that faster runners are more likely to reach base on an error than slower runners. Cal Ripken might bobble a hard ground ball to short. But if he keeps it in front of him, he probably still has time to throw out a runner like Cecil Fielder. Against a batter like Roberto Alomar, the same ground ball goes in the record books as a fielding error.

To estimate this effect, I created two groups using data from 1980-2022. “Fast Runners” were defined as the top 20% of players ranked by Bill James’ Speed Score. I designated the bottom 20% as “Slow Runners”:
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Translated to Baseball Mogul, a player with a Speed Rating of 90 is about 50% more likely to reach base on an error than a player with a Speed Rating of 60.

There's also a difference by handedness. Lefties start a step closer to first base, but right-handed hitters are far more likely to hit a ground ball to the left side of the infield (SS and 3B) where most infield errors are recorded. Overall, righties reach base on a error about 20% more often than lefties (after adjusting for running speed). This advantage is fairly consistent across all seasons. The difference is smaller before 1940, probably because hitters were less likely to pull ground balls.
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Two-Base Errors
About 18% of the time that a batter reaches base on error, it’s due to a throwing error. Some of those throws let the batter reach second base. These two-base errors are much more likely with fast runners than slow runners:
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​This isn’t a surprise. We’ve all seen fast runners take the turn and head for second on an overthrow. But a sim that only uses fielding stats to decide when errors occur (and what type) will fail to reflect this nuance of the game.
1 Comment

What's Up With Punt Distances?

9/22/2023

4 Comments

 
As part of an effort to improve the realism of historical replays in Football Mogul, I recently calculated the average punt distance for the last 72 seasons:
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There is a general upward trend, which I think can be explained by improvements in technique and training (similar to the improvements we've seen by field goal kickers). But there are a couple things that I can't explain:
  1. A sharp but temporary increase from 1959-1965. The average punt during these 7 seasons was 42.6 yards, about two yards per punt higher than the previous 7 seasons. It then dropped sharply in 1966, dipping below 40 for most of the 1970s.
  2. A drop from 43.4 to 41.9 between the 1998 and 1999 seasons. It took almost a decade for the average punt length to get back to the level it was at in 1998.​
I can't think of any rules changes or shifts in strategy that would cause these changes. If you have any theories, let me know on Facebook or by commenting here.
4 Comments

Football Mogul's New Simulation Engine

9/15/2023

0 Comments

 
Football Mogul 24 has a "new simulation engine" with "normalized player ratings for true-to-life depiction of historical eras". But what do these words mean?

​Well ... it means I found some flaws in the way the game simulated historical seasons, so I rewrote a lot of the code to produce more realistic results. The best way to see the changes is to look at the numbers.
On the right are:
  1. Stats from a simulation of the 1965 season using Football Mogul 23.
  2. Actual totals from the 1965 NFL season.
  3. Stats from a simulation of the 1965 season using Football Mogul 24.
Below that are the same stats for the 1995 season. In both examples, the offensive and defensive stats are more realistic, and I was even able to improve field goal accuracy rates to better match historical results.

I achieved these improvements by creating a "baseline" performance level at each position for each season. Then I use player ratings to adjust a player's performance up or down from those levels.
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So, an average QB in 1995 will have a completion percentage a few points higher than an average QB in 1965. It also means that if you moved Troy Aikman from 1995 to 1965, his completion percentage will probably drop.

Update: The day after I wrote this, two people emailed to ask how I calculated the league averages shown in the tables above. As you may have guessed, I used Football Mogul. For the first six rows, I went to the Standings Page and clicked on the column headers to select these stats. League averages can be seen along the bottom (see screenshot).
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Standings Page
The last three (FG%, Rush TDs and Pass TDs) aren't shown on the Standings Page. But they were easy to find with a cool little feature I added this year:
First, go to Sortable Stats and select "All Active Players", "This Season" and "All Positions". And this is where the new feature comes in: click on the column header for any counting stat like Field Goal Attempts or Pass TDs. The text in the upper right will update to show the total of all entries in that column.
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Sortable Stats
This screen doesn't calculate the league-wide FG%, but it was easy for me to type the totals into a calculator to get the league's overall field goal success rate.
0 Comments

Setting Injury Frequency in Baseball Mogul

7/12/2023

0 Comments

 
Today's email question:
Is there any way to control how often players get injured in Baseball Mogul?
Answer:
Yes! The League Settings Dialog (on the League Menu) has a few ways to control the length of injuries in the game:

Injury Frequency
Sets the frequency of injuries from -100% (no injuries) to +100% (twice as many injuries).

Injury Severity
Sets the average severity of each injury from -100% (no injuries) to +100% (longer-lasting and more damaging injuries).

Medical Staff Impact
This adjusts the impact that a team's Medical Staff ranking has on the injury frequency of their players. On the default setting ("+0%") the team with the best Medical Staff in the league will experience about 25% fewer injuries than the worst team in the league suffers.
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You can eliminate injuries completely by setting Injury Frequency to "-100%"
With this set to "+100%", this gap widens to about 50%. (These figures are averages — it's still possible for a team with the highest Medical Staff spending to experience a high number of injuries.)
0 Comments

Baseball Mogul 2023: New League Builder

3/31/2023

1 Comment

 
Baseball Mogul has a very cool feature called the League Builder. It lets you quickly fill a league with historical teams. You pick just two teams, or as many as thirty. You can add World Champions like the 1927 Yankees or 2016 Cubs. Or fill it with cellar-dwellars like the 1962 Mets. It's up to you.
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The problem is that previous versions of the League Builder had problems:

1) It was impossible to have two copies of the same player in the league. For example, Reggie Jackson won the AL MVP with the 1973 Oakland A's. He also helped lead the 1978 Yankees to their 22nd World Championship. But if you added both teams in the League Builder, Reggie would only appear on one of them.

2) Even when there weren't direct conflicts, many of the player ratings were inaccurate because of the way Baseball Mogul tried to combine players from different eras in the same league.​
Baseball Mogul 2023
For Baseball Mogul 2023, I rewrote the League Builder to eliminate the above problems. And I precalculated player ratings for every historical team to prevent the distortion that occurred in previous versions. This also makes the League Builder code much faster, because you don't have to wait while Baseball Mogul calculates the ratings for every player.

To use the League Builder in Baseball Mogul:

1) Start a New Game.
2) Click the 'CUSTOM' button.
​3) Click the 'League Builder'.
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1 Comment
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