Ryan was no wizard with the ash wood.''Nolan Ryan exhibited a significant, and in some years drastic, difference between his home and road earned run averages (ERA) throughout his 27-season career. His career home ERA was 2.77, while his road ERA was 3.73''
Interesting stat that was brought to my attention a little while ago...Those late afternoon starts in Anaheim were brutal for batters.
He struck out 371 times in 852 at bats, (.435), which is only slightly better than Joey Gallo, (.450).
and Ryan was poor in the field, (he had a lifetime fielding pct of under .900). I think he had a lot of throwing errors trying to pick runners off base.
Nolan Ryan Career Stats from baseball-reference(dot)com
If I recall correctly, opposing runners had a much better than average success rate stealing bases against him. @maurice93 is more likely to know something like that.
I looked in the stats on baseball-reference, but they don't have three important pitching stats: Stolen Bases/ Stolen Base attempts, and Pickoffs. I'm more interested in seeing all of the 'hard numbers' in stats.
The information in the Advanced Pitching section on baseball-reference is interesting to me:
Specifically for the On Base Percentage and Slugging Percentage numbers by opposing batters.
Forty years ago, I was trying to create a new statistical average for baseball hitters and pitchers. For batters, the formula was √ (OBP*SLG).
I've never liked the .OPS stat because it overly rewards Batting Average, which is a component of both. OBP plus Isolated Power, (ie: SLG - Batting Average), is a more useful figure, in my opinion.
What my formula was trying to show was the 'percentage of a base' which a batter acquired per plate appearance. If that number was multiplied by his plate appearances, the product would be a stat called 'All Bases'. Comparing different players' All Bases stat for any season could provide a good way to rank players.
The All Bases stat would benefit the players with more plate appearances. A stat of 'All Bases per game by a 0 WAR replacement', geared to specific fielding positions, might make a comparison to a player with better stats in fewer games more accurate. I'd rather have the guy who posts solid numbers in 150 games than the brittle superstar who misses a quarter of the season.
I wanted to create a similar statistic for pitchers, but I didn't have the data for Doubles and Triples Allowed, which was necessary to calculate Sugging Percentage Against. I contacted the Elias Sports Bureau, and they offered to sell me that information, but it was too expensive.
The end result for pitchers was to find the player who had the most similar OBP and SLG, as compared to the pitcher's OBP and SLG Allowed stats. From there, a statement could be made like 'the League bats like Brice Turang against Sonny Gray', as if each of Sonny Gray's opponents had a batting lineup of 9 Brice Turang clones. That sort of direct comparison of a pitcher's numbers to the most similar batter's performance would be interesting to me, and it might be useful in comparing one pitcher to another, when they have dissimilar 'hard stats'.






