Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
プロスペクトをデータで紹介
Search
kuma127
March 27, 2019
Research
2
2.7k
プロスペクトをデータで紹介
3/27 BaseballPlayStudyのLTスライド
kuma127
March 27, 2019
Tweet
Share
More Decks by kuma127
See All by kuma127
私と#pyhack
kuma127
0
280
配信チームの準備と当日進行について
kuma127
0
360
石川雅規のことをもっと知ってもらいたいLT
kuma127
0
1.5k
Beginning PyData with Django and Jupyter
kuma127
3
5.7k
DjangoとJupyterで捗るPyData
kuma127
1
1.6k
趣味駆動学習のススメ〜野球の場合〜
kuma127
0
340
気軽に手に入る成績データで野球分析をしてみた
kuma127
0
2.1k
Python is simple and deep
kuma127
0
52
Other Decks in Research
See All in Research
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
satai
3
230
RHO-1: Not All Tokens Are What You Need
sansan_randd
1
160
SSII2025 [TS3] 医工連携における画像情報学研究
ssii
PRO
2
1.3k
Self-supervised audiovisual representation learning for remote sensing data
satai
3
250
データサイエンティストの採用に関するアンケート
datascientistsociety
PRO
0
1.2k
Generative Models 2025
takahashihiroshi
23
13k
Type Theory as a Formal Basis of Natural Language Semantics
daikimatsuoka
1
270
20250725-bet-ai-day
cipepser
2
360
診断前の病歴テキストを対象としたLLMによるエンティティリンキング精度検証
hagino3000
1
120
なめらかなシステムと運用維持の終わらぬ未来 / dicomo2025_coherently_fittable_system
monochromegane
0
1.8k
Streamlit 総合解説 ~ PythonistaのためのWebアプリ開発 ~
mickey_kubo
1
1.3k
EarthSynth: Generating Informative Earth Observation with Diffusion Models
satai
3
160
Featured
See All Featured
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
183
54k
Product Roadmaps are Hard
iamctodd
PRO
54
11k
The Invisible Side of Design
smashingmag
301
51k
StorybookのUI Testing Handbookを読んだ
zakiyama
30
6k
Designing for humans not robots
tammielis
253
25k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
656
60k
Building a Scalable Design System with Sketch
lauravandoore
462
33k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.4k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
18
1.1k
Docker and Python
trallard
45
3.5k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
131
19k
We Have a Design System, Now What?
morganepeng
53
7.7k
Transcript
2019/3/27 ࠓͷϒϨΠΫɺདྷͷޒྠද ୭ͩʁࠓͷϓϩεϖΫτΛσʔλͰհ ͘·ͽ TwitterIDɿ@kumappp27
ࣗݾհ ✤ ʮ͘·ͽʯͱ͍͍·͢ ✤ TwitterID:@kumappp27 ✤ ݹాPM͔࣌ΒͷͪͳϠΫ ✤ খହ߂खதଜ༔ฏัखͱಉ͍ͷΪϦฏੜ· Εʢฏ2ʣ
✤ ࣅ͍ͯΔͱݴΘΕ͍ͯͨळ٢ख͕Ҡ੶ͯ͠γϣοΫ
ຊͷ͓
ࠓͷϒϨΠΫɺདྷͷޒྠද ୭ͩʁࠓͷϓϩεϖΫτΛσʔλͰհ
͓ʹ͍ͭͯ ✤ ຖɺ͜ͷ࣌ظ͋Δ͋ΔͷҰͭͱͯ͠एखͷ׆༂Ͱ ϙδΔɺͱ͍͏ͷ͕͋Δͱࢥ͍·͢ ✤ ͋ͱɺͳΜ͔ΜͰଞٿஂͷબखͰए͍બख͕ϒ ϨΠΫ͢Δͷت͍͜͠ͱ…ͳؾ͕͠·͢ ✤ ͦ͜Ͱɺ͜ͷΛआΓͯࢲΠνΦγͷएखΛɺσʔλ Λ༻͍ͯհ͠Α͏ɺͱ͍͏LTͰ͢
հ͢Δʹ͋ͨͬͯ ✤ جຊతʹࢲͷಠஅͰϐοΫΞοϓ͠·͕ͨ͠ɺҰԠҎԼͷ ݅ͷݩϐοΫΞοϓ͠·ͨ͠ 1. ࠓͰ3·ͰʢܦྺΘͣʣ 2. ৽ਓԦࢿ͕֨͋Δ 3. υϥϑτ1Ґ͡Όͳ͍
✤ 1ͱ2͚ͩͩͱ༗໊ॴͷհʹͳͬͪΌ͏ͱࢥ͏ͷͰɺυϥϑ τ1Ґআ֎͠·ͨ͠
Special Thanks ✤ ࠓճσʔλΛ͓आΓͨ͠ఏڙݩͷαΠτ༷ͪ͜Βɹ ʮϓϩٿσʔλFreakʯ༷ ✤ ϦϯΫɿhttps://baseball-data.com/ ✤ 1܉ͷσʔλͪΖΜ2܉ͷσʔλॆ࣮͍ͯ͠Δૉ Β͍͠αΠτͰ͢
Ͱͬͦ͘͞1ਓ
ౡ౦༸Χʔϓɾࡔকޗ 19985݄29ੜ·Εʢ20ࡀʣ 2016υϥϑτ4Ґ ӈࠨଧɹัख
ࡔબख͜Μͳਓ ✤ ัखͳ͕Βߴ͍ଧܸηϯεɺ 50m࠷6ඵ3Λه͢Δ΄Ͳ ͷढ़Λซͤͭ ✤ ϧʔΩʔΠϠʔͷ2017ʹެ ࣜઓͰώοτΛଧ͕ͬͨɺ͜ Εౡͷߴଔ৽ਓัखͱ͠ ͯҥּ༤ࢯҎདྷͷҒۀ
ʢWikipediaΑΓൈਮʣ
ͦΜͳࡔબखͷηʔϧεϙΠϯτ…
ัखͰ͋Γͳ͕Βͷߴ͍ଧܸྗ ✤ 2ؒͷ2܉ͪ͜Β ଧ ຊྥଧ ग़ྥ ଧ OPS 2017 .298
1 .359 .400 .759 2018 .329 4 .372 .547 .919
ผࢦඪ͔Βࡔબखͷੌ͞ΛଌΔ ✤ ଧऀͷ߈ܸྗΛଌΔࢦඪͱͯ͠wOBA※ͱ͍͏ͷ͕͋ΔͷͰɺͦͪΒΛ༻͍ ͯࢉग़ͨ͠σʔλ͕ͪ͜Β ✤ ͜ͷࣈɺߴ͍΄Ͳྑ͘ɺࣈͷεέʔϧ͕ग़ྥͱಉ͡Α͏ʹग़དྷ͍ͯΔ ※wOBAͱ 1ଧ੮ͨΓͷಘग़ྗΛଌΔࢦඪɻ ҆ଧ࢛ٿͳͲͷग़ྥ݁ՌʹಠࣗͷॏΈ͚ͮΛͯ͠ࢉग़͢Δɻ ʢWikipediaΑΓɺࠓճσʔλͷ্ࣦؔࡦग़ྥͷهແࢹ͠·͢ʣ
wOBA 2017 .336218 2018 .397907
…Θ͔ΓͮΒ͍ͷͰྺͷऀୡͱൺֱͯ͠Έ·͠ΐ͏ ࠓΛͱ͖Ί͘൴Βʹ͝ొئ͍·ͨ͠ ※൴Βօଧ੮͕όϥόϥͰ͕͢ɺ wOBA1ଧ੮͋ͨΓͷࢦඪͳͷͰެฏ͋͞ΔఔอͯΔ͔ͱ ಡചδϟΠΞϯπ Ԭຊਅ બख ౡ౦༸Χʔϓ ླ બख
౦ژϠΫϧτεϫϩʔζ ࢁాਓ બख
൴Βͷߴଔ1,2ͱൺֱͯ͠ΈΔ ※ิɹླ2ʹ 1܉Ͱ68ଧ੮Ͱଧ.344Λه͍ͯ͠Δ બख໊ wOBA ࡔ 1 .336 2
.398 Ԭຊ 1 .293 2 .360 ླ 1 .304 2 .323 ࢁా 1 .295 2 .335
ૉΒ͍͠ ✤ ྺͷऀͱൺͯḮ৭ͳ͍ʢϦʔάҧ͏ ͷͰɺࢀߟఔͰ͕͢ʣ ✤ ͦΕͲ͜Ζ͔ɺ্ճͬͨΛ͍ͯ͠Δ ✤ ઌ΄Ͳड़͕ͨɺ͜ΕͰ͍ͯัख͔ͩΒڪΕଟ͍
ͦΜͳࡔબखʹΈࣄ͕ ✤ ౡͷัख͕ް͗͢Δ ✤ ࠓग़ػձΛٻΊͯ֎ʹઓ͍ͯ͠Δ༷ ϕετφΠϯ ܦݧ๛ͳϕςϥϯ ༗ג
ࡔબखͷظ ✤ όοςΟϯάͷ͍͍ัखͱͯ͠ɺΏ͘Ώ͘ͷຊද ೖΓΛظ ✤ ઌड़ͷྺͷऀօߴଔ4ʹେϒϨΠΫΛՌͨ ͨ͠ͷͰͦͷྲྀΕʹΔͳΒϒϨΠΫདྷʁ
࣍ʹ2ਓ
౦ژϠΫϧτεϫϩʔζɾԘݟ ହོ 19936݄12ੜ·Εʢ25ࡀʣ 2017υϥϑτ4Ґ ӈӈଧɹ֎ख
Ԙݟબख͜Μͳਓ ✤ ग़͕૬ߴֶߍͰɺ ग़ͷޙഐ ✤ #ϠόΠΑԘݟ ✤ ࡢͷΞδΞΟϯλʔ ϦʔάͰ࠷༏लଧऀ Λड
ͦΜͳԘݟબखͷηʔϧεϙΠϯτ…
ɾ߈ڞʹѹతͳ࣮ ✤ ϧʔΩʔΠϠʔͷࡢɺ1܉Ͱଧ.040ͱۤ͠Μͩ ͕ɺ2܉ࠓقͷΦʔϓϯઓͰѹతͳΛه ଧ HR ౪ྥ OPS BB/K ’18
Πʔελϯ .329 9 22 1.011 0.51 ’18 Οϯλʔ Ϧʔά .392 4 5 1.209 1.17 ’19 Φʔϓϯઓ .385 2 12 1.025 0.44
ࠓճྺͷऀͱൺֱ ✤ ࡢେ׆༂ͨ͠େଔɾࣾձਓग़ͷબखͷ1ͷ2܉ͱൺͯΈΔ ʢ˞ϝϯπ͕ͨΒΰπ͍Ͱ͕͢ɺؾͷ͍ͤʣ ࡛ۄϥΠΦϯζ ࢁึߴ બख ઍ༿ϩοςϚϦʔϯζ Ҫ্࠸ બख
ԣDeNAϕΠελʔζ ٶ㟒හ બख
൴Βͷ1ͷ̎܉ͱൺͯΈΔ બख໊ wOBA Ԙݟ .4294 ࢁ .4332 Ҫ্ .4490 ٶ࡚
.3863
ࢁʹΞδϟίϯάʹுΓ߹͍ͬͯΔ ✤ λΠϓతʹ3໊ͱԘݟબखͱͰશવҧ͏ͷ͕ͩɺ ͦΜͳ3ਓͷதʹׂͬͯೖΔΑ͏ͳ߈ܸྗΛඋ͍͑ͯ Δ ✤ #ϠόΠ ✤ ͜ͷ3ਓ͍ͣΕ3ʙ5ลΓʹϒϨΠΫ͍ͯ͠Δ ͷͰɺԘݟબखࠓޙͷϒϨΠΫ͕ظͰ͖Δ͔͠
Εͳ͍
ྫʹΑͬͯԘݟબखʹΈࣄ͕ ✤ ϠΫϧτͷ֎ϨΪϡϥʔਞ͕൫ੴ͗͢Δ HRهอ࣋ऀ ϝδϟʔؼΓ 3ׂόολʔ ✤ ·ͣπʔϓϥτϯى༻͔Βͷελʔτ͔…ʁ 3ׂόολʔ ϑΝʔετकΕΔ
Ԙݟબखͷظ ✤ νʔϜঢ়گతʹଈϨΪϡϥʔݫ͍͕͠ɺߴྸԽ͕ਐ ΜͰ͍ΔϠΫϧτ֎ਞͷएฦΓͷτοϓʹͳΕΔΑ ͏ͳ׆༂Λظ ✤ ૉΒ͍͠߈ܸྗʹΦʔϓϯઓ౪ྥԦͷ࣮ྗΛ׆͔ͤ Εɺ͍ۙࢁాબखͱͷτϦϓϧεϦʔίϯϏ͕ੜ ·ΕΔ…͔͠Εͳ͍
·ͩ·͍ͩΔͧʂ
ٽ͖ͷՃհ ✤ հ͔͚ͨͬͨ͠Ͳ࣌ؒͷ߹্Β͟ΔΛಘͳ͔ͬ ͨબखΛ໊લͱɺηʔϧϙΠϯτΛҰݴड़͍͖ͯ· ͢
ࡕਆλΠΨʔεɾਅख ✤ ࠷150km/hͷٿʹεϥΠμʔɺ ΧʔϒɺνΣϯδΞοϓΛૢΔظ ͷएखख ✤ ηʔϧϙΠϯτʮ੍ٿྗʯ ✤ ࡢ2܉Ͱ27ΠχϯάΛ࢛͛ٿ Θ͔ͣʮ3ʯ
✤ ͜ΕࡢେϒϨΠΫΛՌͨͨ͠ɺ ΦϦοΫεࢁຊ༝৳खͷ1ͷ ʹඖఢ͢Δ 19985݄25ੜ·Εʢ20ࡀʣ 2016υϥϑτ4Ґ ӈӈଧɹख
ઍ༿ϩοςϚϦʔϯζɾӬক࢘ख ✤ ࠨ͔Β࠷150km/hΛ܁Γग़͢ ٿϦϦʔόʔ ✤ ηʔϧεϙΠϯτɺʮୣࡾৼྗʯ ✤ 2܉Ͱ22ࢼ߹ʹ͛ ୣࡾৼɿ12.43 K/BBɿ7.25
ɹͷѹרϐονϯάΛ൸࿐ ✤ ࠓɺʮڪාʯΛެදɻݸ ਓతʹԠԉ͍ͨ͠બखɻ 19933݄2ੜ·Εʢ26ࡀʣ 2017υϥϑτ6Ґ ࠨࠨଧɹख
Ҏ্Ͱ͢ ✤ օ͞Μɺࣗਪ͠ͷएखબख͍·ͨ͠Ͱ͠ΐ͏͔ʁ ࠓճڈͷ2܉ΛݩʹϐοΫΞοϓͨ͠ͷͰɺ ࣈʹݱΕͯͳ͍͚ͲظͰ͖Δएखબख·ͩ·ͩ ͍Δͱࢥ͍·͢ ✤ ʮ͜ͷબख͍͍ͧʂʯͬͯબख͕͍Εͥͻͥͻڭ͑ ͖͍ͯͨͰ͢ʙ
͝੩ௌɺ͋Γ͕ͱ͏͍͟͝·ͨ͠ʂ