Show I I I I NEW MI METHOD Of fiNDING AVERAGE NEW NESt YORK D Dee Dec c. c 2 Christy e eon elon on l on does not nol believe le that the present system of ot compiling R a pitchers s record does doea the a justice e is what hat h he a says f. B Pitching a erases averages as a the they a axe e now nw con compiled m mean an little 91 r nothing n in In COW com a pitchers pitcher's c l r real ability b A Alike ft f Jn t rIO like Kucker Bucker on a second division laton t team mil may pitch better bath ball tI titan than n n I man anan on the mound and yet et be rank ranked d no b batter lt than tenth or twelfth As A nw H t r I of historical data the present has baa no salue lue whatever a as 1 It fays to show t tc las Ut Rot I c t of the 1 different r people prop pro peo p I e r d out ro fr m every o possible anile continued th giant g and Sand timers there is I. on one correct SOlution SO- SO o- o lution tn in sight that j I can seeThe see ace The Idea Is 11 this T Tu find tind iti mimI lorre cornet t pitching average aversie o of any certain ln take the total number of ot gaines Rames won on and Ani lo lost b by the club clu and from this subtract time the games mes won yon and lost hv ir the n whose hose record you jou OU are rIel This Thin five III TOM 1 0 that avem outside f It st t the g games time tile pitcher worked Then from frum the pItchers pitcher s average o of ot gamut gam won non on and lost subtract the this nub club a a az era minus these g garnet mu This 4 gives tr you o i ianswer i- i i-e i t answer you are after and an Is III the dost thing I Know to 10 o a fair far test teal of |