Neutralized Batting Stats

Data runs from 1871 to 2020 for regular season data, 1933-Present for the All-Star Game, and 1903-Present for the Postseason.

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For Single Seasons, 1871-2020 Major League batting adjusted to a 2020 American League neutral park, sorted by greatest Home Runs, Batting Park Factor: 100, Pitching Park Factor: 100

To League: AL, To Year: 2020
$VAR1 = {
          'lgRPG' => '4.59',
          'lgG' => '60',
          'lgERR' => '0.929',
          'lgTBpH' => '1.273',
          'lg_ID' => 'AL'
        };


To Team: neutral, To Year: 2020
$VAR1 = {
          'name' => 'neutral',
          'PPF' => 100,
          'BPF' => 100,
          'team_ID' => 'neutral'
        };


Query:
INSERT IGNORE INTO _calcs_neutral_bat select "2020-10-26 08:24:05.343" as id,
      player_ID,
       year_ID,
       mbn.G * ifnull(params.games_multiplier, 0)                       as G,
       round(ifnull(mbn.RC,0)
             * (params.to_park_factor / params.from_park_factor)
             * (params.to_dh_factor / params.from_dh_factor)
             * (params.to_runs_per_game / params.from_runs_per_game))   as RC,
       0.000                                                            as H,
       0.000                                                            as AB,
       0.000                                                            as 2B,
       0.000                                                            as 3B,
       0.000                                                            as HR,
       0.000                                                            as BB,
       0.000                                                            as HBP,
       0.000                                                            as SF,
       0.000                                                            as onbase_perc,
       0.000                                                            as slugging_perc
  from majors_batting_neutral mbn

cross join (select ?   as to_park_factor,
                   ?   as to_dh_factor,
                   ?   as to_runs_per_game,
                   ?   as to_earned_run_rate,
                   ?   as to_tb_per_hit,
                   ?   as from_park_factor,
                   ?   as from_dh_factor,
                   ?   as from_runs_per_game,
                   ?/? as games_multiplier) as params

 where year_ID between ? and ?
group by mbn.player_ID, year_ID

100, 0.9375, 4.59, 0.929, 1.273, 100, 1, 4.25, 60, 162, 1871, 2020

update _calcs_neutral_bat calcs
  join majors_batting_neutral mbn using (player_ID, year_ID)
 cross join (select ?   as to_park_factor,
                   ?   as to_dh_factor,
                   ?   as to_runs_per_game,
                   ?   as to_earned_run_rate,
                   ?   as to_tb_per_hit,
                   ?   as from_park_factor,
                   ?   as from_dh_factor,
                   ?   as from_runs_per_game,
                   ?/? as games_multiplier) as params

   # This equation provides the solution to the quadratic equation that gives the player's adjusted
   # H, which are then adjusted to a 162-game schedule
   set calcs.H = ( (calcs.RC * (1.0 + (mbn.BB/mbn.H)))
                   + sqrt( power(calcs.RC * (1.0 + (mbn.BB/mbn.H)), 2)
                           + ( 4.0 * ((mbn.TB/mbn.H) * (1.0 + (mbn.BB/mbn.H))) * (calcs.RC * (mbn.AB - mbn.H)) ) )
                 ) / ( 2.0 * (mbn.TB/mbn.H) * (1.0 + (mbn.BB/mbn.H)) )
                 * params.games_multiplier
 WHERE calcs.id="2020-10-26 08:24:05.343"       


update _calcs_neutral_bat calcs
  join majors_batting_neutral mbn using (player_ID, year_ID)
cross join (select ?   as to_park_factor,
                   ?   as to_dh_factor,
                   ?   as to_runs_per_game,
                   ?   as to_earned_run_rate,
                   ?   as to_tb_per_hit,
                   ?   as from_park_factor,
                   ?   as from_dh_factor,
                   ?   as from_runs_per_game,
                   ?/? as games_multiplier) as params

       # The player's outs remain constant, so get the new AB total by adding outs to adjusted H.
   set calcs.AB = if(calcs.RC>0 and mbn.H>0 and mbn.TB>0 and mbn.AB>0,
                     (mbn.AB - mbn.H) * params.games_multiplier + calcs.H,
                     mbn.AB * params.games_multiplier),
       # The increases in 2B, 3B, HR, BB, SB, and HBP are proportional to the player's increase in hits.
       calcs.2B = if(calcs.RC>0 and mbn.H>0 and mbn.TB>0 and mbn.AB>0, (mbn.2B / mbn.H) * calcs.H, 0),
       calcs.3B = if(calcs.RC>0 and mbn.H>0 and mbn.TB>0 and mbn.AB>0, (mbn.3B / mbn.H) * calcs.H, 0),
       calcs.HR = if(calcs.RC>0 and mbn.H>0 and mbn.TB>0 and mbn.AB>0, (mbn.HR / mbn.H) * calcs.H, 0),
       calcs.BB = if(calcs.RC>0 and mbn.H>0 and mbn.TB>0 and mbn.AB>0, (mbn.BB / mbn.H) * calcs.H, mbn.BB * params.games_multiplier),
       calcs.HBP = if(calcs.RC>0 and mbn.H>0 and mbn.TB>0 and mbn.AB>0, (mbn.HBP / mbn.H) * calcs.H, mbn.HBP * params.games_multiplier),
       calcs.SF = mbn.SF * params.games_multiplier
 WHERE calcs.id="2020-10-26 08:24:05.343"       


update _calcs_neutral_bat calcs
cross join (select ?   as to_park_factor,
                   ?   as to_dh_factor,
                   ?   as to_runs_per_game,
                   ?   as to_earned_run_rate,
                   ?   as to_tb_per_hit,
                   ?   as from_park_factor,
                   ?   as from_dh_factor,
                   ?   as from_runs_per_game,
                   ?/? as games_multiplier) as params

   set onbase_perc = if(AB + BB + ifnull(HBP,0) + ifnull(SF,0) > 0, (H+BB+ifnull(HBP,0)) / (AB+BB+ifnull(HBP,0)+ifnull(SF,0)), 0),
       slugging_perc = if(calcs.AB>0, (calcs.H + calcs.2B + 2*calcs.3B + 3*calcs.HR) / calcs.AB, 0)
 WHERE calcs.id="2020-10-26 08:24:05.343"       


    select CONCAT('/players/',LOWER(LEFT(bio.player_ID,1)),'/',bio.player_ID,'.shtml') as player_link,
           bio.name_common as player,
               player_ID,
    year_ID,
    age,
    ActG                                                                                                                                   as G_actual,
    round(ifnull(mbn.G,0) * params.games_multiplier)                                                                                       as G,
    round(calcs.RC * params.games_multiplier)                                                                                              as RC,
    round(calcs.H)                                                                                                                         as H,
    round(calcs.AB)                                                                                                                        as AB,
    round(calcs.AB + calcs.BB + ifnull(calcs.HBP,0) + ifnull(calcs.SF, 0))                                                                 as PA,
    round(calcs.2B)                                                                                                                        as 2B,
    round(calcs.3B)                                                                                                                        as 3B,
    round(calcs.HR)                                                                                                                        as HR,
    round(calcs.BB)                                                                                                                        as BB,
    round(if(calcs.RC>0 and mbn.H>0 and mbn.TB>0 and mbn.AB>0, (mbn.SB / mbn.H) * calcs.H, mbn.SB * params.games_multiplier))              as SB,
    round(if(calcs.RC>0 and mbn.H>0 and mbn.TB>0 and mbn.AB>0, (mbn.CS / mbn.H) * calcs.H, mbn.CS * params.games_multiplier))              as CS,
    round(calcs.HBP)                                                                                                                       as HBP,

    # The increases in R and RBI are proportional to the increase in the players RC.
    if(mbn.RC>0, round(mbn.R * (calcs.RC/mbn.RC) * params.games_multiplier), round(mbn.R * params.games_multiplier))                       as R,
    if(mbn.RC>0,
       round(ifnull(mbn.RBI, 0) * (ifnull(calcs.RC,0)/mbn.RC) * params.games_multiplier),
       round(ifnull(mbn.RBI,0) * params.games_multiplier))                                                                                 as RBI,

    # Assume that since the number of outs made does not change, then the number of SO and SF will not change.
    round(mbn.SO * params.games_multiplier)                                                                                                as SO,
    round(calcs.SF)                                                                                                                        as SF,
    round(mbn.SH * params.games_multiplier)                                                                                                as SH,

    if(calcs.AB>0, round(calcs.H / calcs.AB, 3), round(0, 3))                                                                              as batting_avg,
    round(calcs.onbase_perc, 3)                                                                                                            as onbase_perc,
    round(calcs.slugging_perc, 3)                                                                                                          as slugging_perc,
    round(ifnull(calcs.onbase_perc, 0) + ifnull(calcs.slugging_perc, 0), 3)                                                                as onbase_plus_slugging


      from majors_batting_neutral mbn
      join bio using (player_ID)
      join _calcs_neutral_bat calcs using (year_ID, player_ID)
cross join (select ?   as to_park_factor,
                   ?   as to_dh_factor,
                   ?   as to_runs_per_game,
                   ?   as to_earned_run_rate,
                   ?   as to_tb_per_hit,
                   ?   as from_park_factor,
                   ?   as from_dh_factor,
                   ?   as from_runs_per_game,
                   ?/? as games_multiplier) as params

     where calcs.id="2020-10-26 08:24:05.343"
           and calcs.player_ID in (select player_ID from majors_appearances a join majors_team t using (team_ID, year_ID) where year_ID between ? and ? )
           and year_ID between ? and ?
           


order by HR desc
     limit 0, 300


Parameters: 100, 0.9375, 4.59, 0.929, 1.273, 100, 1, 4.25, 60, 162, 1871, 2020, 1871, 2020

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Results Table
Rk	Player	Year	Age	G	PA	AB	R	H	2B	3B	HR	RBI	SB	BB	SO	HBP	SF	BA	OBP	SLG	OPS	RC	Gact
1
2
3
4
5
6
7
8
9
10
11	Mark McGwire	1999	35	57	235	188	37	49	7	0	22	47	0	45	52	1	2	.259	.400	.648	1.048	49	153
12	Mark McGwire	1997	33	58	242	199	31	54	10	0	21	44	1	37	59	3	3	.271	.388	.635	1.023	49	156
13	Willie Mays	1965	34	58	236	207	45	67	8	1	20	43	3	29	26	0	1	.322	.403	.654	1.057	55	157
14	Mickey Mantle	1961	29	57	239	190	49	60	6	2	20	48	4	47	41	0	2	.317	.448	.689	1.137	59	153
15	Babe Ruth	1921	26	59	252	201	57	70	15	6	20	54	6	50	31	1	0	.348	.481	.780	1.261	75	152
16	Babe Ruth	1928	33	60	257	205	58	64	11	3	20	52	1	50	34	1	0	.311	.449	.682	1.131	63	154
17	Alex Rodriguez	2002	26	60	262	227	42	65	9	1	20	47	3	30	45	3	1	.286	.376	.596	.972	50	162
18	Ken Griffey Jr.	1997	27	58	258	223	44	66	12	1	20	52	5	27	45	3	4	.298	.375	.634	1.009	53	157
19	Ken Griffey Jr.	1998	28	60	263	232	41	64	12	1	20	50	7	27	45	3	1	.276	.356	.592	.948	48	161
20	Chris Davis	2013	27	59	251	217	39	63	16	0	20	53	1	27	74	4	3	.289	.374	.644	1.017	51	160

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