by gbrookes » Mon May 17, 2010 12:49 pm
I also want to say a very big THANKS (!!!!), and provide some feedback:
-I have been using my own mathematically simplified version of these formulas (still largely true to their original math, I believe) for about 9 months, in my strat playing and team managing. I actually often do the calculations for the 3 games being played on a given night. I find that the formula accurately predicts the outcome of the game reasonably consistently, taking into consideration the usual luck factors - i.e. if it accurately predicts the outcome 60% of the time, it is pretty darn good. It does for me! Better still, it really does a good job of predicting the flavour and style of a game.
-Of course, you can predict the flavour and style (and maybe the outcome pretty darn well) without the formula, just by looking at the cards. What this formula does so well from my perspective, though, is to make it an OBJECTIVE, QUANTITATIVE and RELATIVE analysis. The numbers I calculate often times directly influence my plans, including lineup changes, pitcher settings, etc. I feel very strongly that this has helped me to make those decisions better, and help win games from time to time.
-I think it is important to read the comments in the paper about what things were NOT considered. My own view is that, with the extra running rules used in online strat (just about any hit can result in an extra base running opportunity for runners on base), baserunning ability and outfielder's arms are more important than are implied by the comments in the paper. In any event, he acknowledges that it would be an interesting subject for further study and evaluation. For the past year, I have been weighting my player selections to highly value good base running and good outfielder arms.
-Overall - love it. Great tool for planning teams and even games in strat, in my view.
BTW, my simplified formula (applied to results times die roll weighting on player's cards, with ballpark effects included) is:
Relative offensive contribution = walks(&HBP) * 1.2 + singles *2 +doubles *3.6 + triples * 5.4 + homeruns * 7.
I know this formula doesn't do any justice to the NERP in the paper posted above, but it works well enough for me in planning my teams and my games.
For other more complex effects, including GB DPs, I just use my instincts to evaluate this, and of course try to plan around it with lineup order, bunts, hit and runs, etc.
As a few happy coincidences:
-this typically works out to about 100 for an average to good player. (as a matter of convenience for myself, I include ballpark singles for both the pitchers as well as the hitters cards in the batter's card evaluation total. Then I do a separate adjustment for any situations where there are no ballpark singles on either the batter or pitcher cards. That way, the standard addition for ballpark singles is ONLY on the batter card, and it is always the same for each lefty hitter and for each righty hitter.
- If a hitter is W power, I just subtract 10 from his total to take this into account, as a rough estimate of a typical effect. In game situations, i calculate the pitcher's card value against either W or N power hitters, and then use the actual pitcher card value for that hitter.
-VERY INTERSTING - I find that this simplified formula does a VERY, VERY good job of estimating the L/R balance for hitters. Take the batters card evaluation (as per above) for lefty hitters, and subtract that from his evaluation for righty hitters. Take the difference and divide by 10, rounding to the nearest whole number. This result is the SAME as the strat L/R rating system for that batter, about 70% of the time!!!!!
-The above comment works the same for pitcher cards, just as well, but instead of dividing by 10, divide by 7. The L/R balance works about 70% of the time.
Geoff