Broken Bat - Discussion Forum: Study on batting and defense

Forum >> Discussions >> Study on batting and defense

Post ID	Date & Time	Game Date

#81163	04/18/2021 2:18:03 am	Jan 13th, 2050
jamanys Joined: 09/18/2018 Posts: 44 Inactive	In french : Et donc après l’étude sur les pitchers je vais faire sur les batters. On va séparer en deux catégorie l’attaque et la défense. Je ne vais pas approfondir la vitesse en tout cas aujourd’hui). Toujours par le même principe de voir la corrélation entre les attribues des joueurs et les statistiques de la saisons dernière en Legends League. J’ai pris 101 joueurs et on tous plus de 140 AB TAB : HIT/ BC / PD / POW AVE : 43.3 / 0.8 / 16.8 / 1.7 OBP : 42.3 / 0.0 / 61.7 / 10.1 SLG : 14.4 / 4.0 / 18.1 / 51.5 OBP : 27.2 / 2.8 / 37.5 / 40.6 RISP : 20.4 / 6.0 / -0.9 / 5.1 GB/FB : 25.1 / -4.7 / -12.8 / -53.1 Juste en note la vitesse aide pour le SLG et le GB/FB mais est un désavantage pour le reste. On note que le l’OBP est pratiquement indépendant du BC. Je dirais à plus de 99% indépendant. Donc voici pour moi les attribue pour un bon batteur selon moi : -PD 33,5 -HIT 31,8 -POW 26 -BC 1,9 Bien sur en fonction du profil de joueur que vous cherchez cela peut changer. En ce qui concerne la défense c’est une étude vraiment nulle. Je ne sais pas comment je pourrais l’améliorer. Si vous avez des pistes je suis preneur. J’ai trouvé que deux statistiques parlante FP et Err/Game que j’ai fait moi-même. Voici son calcul = (Err ToT / game Tot)* -100. J’ai pris les même 101 joueurs et ont tous joué au minimum 40 matchs Pour le CS% j’ai pris les 20 joueurs qui ont des statistiques en CS% TAB : FLD / RNG / ARM E/G : -16,6 / -17,3 / 6,8 FP : -7.2 / 3.5 / 8.2 CS% : 12.1 / -9.3 / 24.6 Je ne vais même pas m’étaler plus que ça. Je refuse de croire que le FLD à un impact négatif. J’ai pourtant fait la même méthode que pour l’attaque et le pitching et les résultats sont cohérent. Updated Sunday, April 18 2021 @ 2:30:35 am PDT

#81164	04/18/2021 2:24:01 am	Jan 13th, 2050
jamanys Joined: 09/18/2018 Posts: 44 Inactive	And so after the study on pitchers I will do on batters. We're going to separate into two categories, offense and defense. I won't go into speed (at least not today). I'm going to see the correlation between the players' attributes and the statistics of the last season in Legends League. I took 101 players and all have more than 140 AB TAB : HIT/ BC / PD / POW AVE : 43.3 / 0.8 / 16.8 / 1.7 OBP : 42.3 / 0.0 / 61.7 / 10.1 SLG : 14.4 / 4.0 / 18.1 / 51.5 OBP : 27.2 / 2.8 / 37.5 / 40.6 RISP : 20.4 / 6.0 / -0.9 / 5.1 GB/FB : 25.1 / -4.7 / -12.8 / -53.1 Just noting the speed helps for the SLG and GB/FB but is a disadvantage for the rest. We note that the OBP is practically independent of the BC. I would say more than 99% independent. So here are for me the attributes for a good batter according to me: -PD 33.5 -HIT 31,8 -POW 26 -BC 1,9 Of course depending on the player profile you are looking for this can change. As far as defense goes it's a really sucky study. I don't know how I could improve it. If you have any ideas I'm interested. I found two statistics that make sense, FP and Err/Game that I did myself. Here is its calculation = (Err ToT / game Tot)* -100. I took the same 101 players and all played at least 40 games For the CS% I took the 20 players who have stats in CS% (so a lot of bias here) TAB : FLD / RNG / ARM E/G : -16,6 / -17,3 / 6,8 FP : -7.2 / 3.5 / 8.2 CS% : 12.1 / -9.3 / 24.6 I'm not even going to get into it any more than that. I refuse to believe that FLD has a negative impact. I did the same method as for the attack and pitching and the results are consistent. Updated Sunday, April 18 2021 @ 2:29:38 am PDT

#81165	04/18/2021 3:23:41 am	Jan 13th, 2050
tamale Joined: 02/19/2018 Posts: 358 Inactive	Great stuff again, thanks jamanys! Happy to see the results match my prediction from the pitcher discussion As for the defense, better fielders are usually placed in positions where there are harder plays, so it makes sense that they make more errors (e.g. the SS has high fielding, but sees tough grounders with difficult throws. OF usually have low fielding, but don't make many errors because many of their plays are just catching easy fly balls). So maybe you would need to adjust for position, e.g. comparing SS with only other SS, 2B with other 2B, etc. That would give a small sample from only the Legends teams, but I think it would be safe enought to compare defense using data from any league. Updated Sunday, April 18 2021 @ 3:36:59 am PDT

#81166	04/18/2021 5:28:54 am	Jan 13th, 2050
jamanys Joined: 09/18/2018 Posts: 44 Inactive	Yes your prediction was pretty good ngl ! And yours advices and analysis seems good for me but i think this will be long to do. Maybe an other day. and i see no bias if we complete legends league's players with players in other leagues levels for defence. So when i will do this i do do with player from second division to.