[IBL] IBL Insight Sought
Kevin Greenberg
greenbergk at gmail.com
Mon May 26 21:20:29 EDT 2014
Probably some of both. Remember, the way the game is built is that your
players will hit to their same numbers if they face a league average staff
in the same park.
But it is not the game, it is the league rules.
Park effects aside, remember, we don't face league average batters,
pitchers, or defense. Between a combination of 20/20 hindsight, perfect
defensive information, and the fact that you see 100-133% of the best
opposition (and close to 0% of the worst), you would expect everyone in the
IBL to underperform their MLB rate numbers, at least by a little.
As an aside, this is particularly true of SP, as the replacement level for
IBL SP is much better than at other positions. Where as we play 24 of the
top 30 guys at positions (and more for DHs), we only use about 110 of the
150 starters. But that even understates the issue as most MLB regulars bat
about 600 times so you can only push them to 105 or 110 %. But with top
SPs you can almost always push towards 125%.
The disparity of IBL v MLB is not necessarily true of counting stats as you
benefit from teammates with a positive selection cycle. But for rate stats
this is to be expected.
On Monday, May 26, 2014, Doug Palmer <aeronutty43 at gmail.com> wrote:
> All (especially IBL old timers)
>
> I was going to rant about how this is the 5th year of futility for the
> Crabs, but in all honesty, it's getting old. So instead, I'm looking for
> IBL insight into a phenomena that I seem to be suffering from.
>
> The player cards are based on the previous years numbers. The algorithm
> involved is probably quite heady, but I'm guessing (hoping?) that the
> numbers are predicated on actual performance. Now, knowing that, and
> understanding that Pursue the Pennant (the game that is the mechanics
> behind the IBL) is a dice-game, how accurate have you found the cards to
> be? Will a .300 hitter actually achieve a .300 batting average (give or
> take...what....10%?). Same with pitchers, are their WHIP's predictable?
>
> I've lost something like 15 straight on the road, been no-hit, been 2 hit,
> been shutout half a dozen times and scored 2 or less in nearly half of my
> games. Most of my players are batting 50-100+ points below where they
> "should be". (i.e. Hosmer was a .302 batter in 2013 and is hitting .202 for
> me here). I had been taking players in the draft or proposing in trades
> based on their actual numbers from the prior season (K-rate, walk rate,
> WHIP, OBP, etc...). But is that even relative?
>
> Granted, it's only 1/3rd of the season, but when I see numbers like this,
> I start to question the validity of the stats that back up the game
>
> Hosmer .201 (actual .302)
> Lagares .172 (actual .242)
> LeMahieu .149 (actual .280)
> Markakis .231 (.271 actual)
> Castro .223 (.245 actual)
> Suzuki .176 (.232 actual)
> Conger .200 (.249 actual)
> Villar .143 (.243 actual)
>
> This doesn't even include pitchers who's WHIP's and ERA's are
> significantly higher than their 2013 season (along with K-rate and
> walk-rate).
>
> It's a game based on rolling a pair of dice, I know. Is what I'm seeing a
> mirage? Are numbers always lower than in actuality? Am I simply seeing a
> 100 AB slump by the majority of my lineup (for the 5th straight year, btw)?
> Why should I care that Starlin Castro is having a much better season
> statistically if he's just going to bat .200 for me regardless?
>
> Are we just looking at bad luck, or is this how the game is statistically
> built?
>
> Doug/BAL
>
>
>
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