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04-06-2019, 04:45 PM | #681 |
Hall Of Famer
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1937 MLB Draft
Anthony Taubman was drafted first overall by the Braves out of the defending NCAA champs Washington State. Usher Oates was the top high schooler selected, going third out of Rio Rancho to the Red Sox. The top pitcher selected was Curio Hubbert, though he is injured with a shoulder impingement and did not sign. Round 1, Pick 1 - Atlanta Braves: 2B Anthony Taubman, age 21 Round 1, Pick 2 - Kansas City Royals: CF Alfred Bell, age 21 Round 1, Pick 3 - Boston Red Sox: RF Usher Oates, age 18 Round 1, Pick 4 - Milwaukee Brewers: SS Wesley Haley, age 18 Round 1, Pick 5 - Baltimore Orioles: RF Elijah Whisenhunt, age 18 Round 1, Pick 6 - Philadelphia Phillies: CF Silvino Tiffer, age 21 Round 1, Pick 7 - Florida Marlins: CF Leo McCanna, age 21 Round 1, Pick 8 - Texas Rangers: C Dallas Nissen, age 18 Round 1, Pick 9 - San Diego Padres: SP Curio Hubbert, age 18 Round 1, Pick 10 - Minnesota Twins: RF Austin Magee, age 21 Round 1, Pick 11 - St. Louis Cardinals: CF Louis Hayes, age 21 Round 1, Pick 12 - San Francisco Giants: CL Connor Morris, age 21 Round 1, Pick 13 - Houston Astros: SS Terrence Briley, age 21 Round 1, Pick 14 - Chicago White Sox: SS Reginald Musgrave, age 21 Round 1, Pick 15 - Cleveland Indians: 3B Evan Pieratt, age 18 Round 1, Pick 16 - Boston Red Sox: SP A.J. Knitter, age 21 Round 1, Pick 17 - Montreal Expos: 2B Aarão Sousa, age 21 Round 1, Pick 18 - Arizona Diamondbacks: SP Tino García, age 21 Round 1, Pick 19 - New York Yankees: CF Parker Harden, age 18 Round 1, Pick 20 - Detroit Tigers: 2B Jared Sandlin, age 21 Round 1, Pick 21 - Tampa Bay Devil Rays: RF Mac Anders, age 18 Round 1, Pick 22 - Seattle Mariners: SP Kamau Amos, age 21 Round 1, Pick 23 - Chicago Cubs: SP Sean Boldman, age 18 Round 1, Pick 24 - Colorado Rockies: 2B Shihei Mori, age 21 Round 1, Pick 25 - Los Angeles Dodgers: SP Ryan Farrell, age 21 Round 1, Pick 26 - New York Mets: SP Jordan Ogilvie, age 22 Round 1, Pick 30 - Oakland Athletics: 3B Ben Brejcha, age 21 |
04-06-2019, 06:03 PM | #682 |
Hall Of Famer
|
MLB All-Star selection
I'm admittedly new to all this so I'm sure there are much easier and cleaner ways to do this, but my way does what I want for now.
Code:
#library(readr) #library(dplyr) #library(tidyr) #library(Hmisc) #teams <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/general/teams.csv") #pos <- data.frame("posnum" = c(1,2,3,4,5,6,7,8,9),"posval" = c("P","C","1B","2B","3B","SS","LF","CF","RF")) #import data (players_basic, players_value, players_career_pitching_stats, players_career_batting_stats) players <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players.csv") players <- unite(players, name, c("first_name","last_name"), sep = " ") players_career_pitching_stats <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players_career_pitching_stats.csv") players_value <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players_value.csv") players_career_batting_stats <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players_career_batting_stats.csv") #Reduce pitching data to MLB in current year pas <- players_career_pitching_stats %>% select(player_id, year, league_id, team_id, split_id, bf, gs, wpa, war) %>% filter(league_id=='100' & split_id=='1'& year==max(year)) %>% merge(players[ , c("player_id", "name")], by = "player_id") %>% merge(players_value[ , c("player_id", "pot")], by = "player_id") %>% merge(teams[ , c("team_id", "sub_league_id")], by = "team_id") %>% mutate(sprank = wpa+2*war, rprank = 2*wpa+war) #select top 6 SP and top 4 RP for AL and NL ALAS <- pas %>% filter(gs!='0' & sub_league_id =='0') %>% select(player_id, name, sprank, war) %>% arrange(desc(sprank)) %>% top_n(6,sprank) %>% mutate(pos="SP") %>% rename(rank = sprank) ALAS <- pas %>% filter(gs=='0' & wpa>'0' & sub_league_id =='0') %>% select(player_id, name, rprank, war) %>% arrange(desc(rprank)) %>% top_n(4,rprank) %>% mutate(pos="RP") %>% rename(rank = rprank) %>% bind_rows(ALAS, .) NLAS <- pas %>% filter(gs!='0' & sub_league_id =='1') %>% select(player_id, name, sprank, war) %>% arrange(desc(sprank)) %>% top_n(6,sprank) %>% mutate(pos="SP") %>% rename(rank = sprank) NLAS <- pas %>% filter(gs=='0' & wpa>'0' & sub_league_id =='1') %>% select(player_id, name, rprank, war) %>% arrange(desc(rprank)) %>% top_n(4,rprank) %>% mutate(pos="RP") %>% rename(rank = rprank) %>% bind_rows(NLAS, .) #Filter batter data bas <- players_career_batting_stats %>% select(player_id, year, league_id, team_id, split_id, pa, wpa, war) %>% filter(league_id=='100' & split_id=='1'& year==max(year)) %>% merge(players[ , c("player_id", "name", "position")], by = "player_id") %>% merge(players_value[ , c("player_id", "pot")], by = "player_id") %>% merge(teams[ , c("team_id", "sub_league_id")], by = "team_id") %>% mutate(brank = wpa+2*war) #select top 2 C and top 1 for every other position ALAS <- bas %>% filter(position=='2' & sub_league_id =='0') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(2,brank) %>% mutate(pos="C") %>% rename(rank = brank) %>% bind_rows(ALAS, .) ALAS <- bas %>% filter(position=='3' & sub_league_id =='0') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="1B") %>% rename(rank = brank) %>% bind_rows(ALAS, .) ALAS <- bas %>% filter(position=='4' & sub_league_id =='0') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="2B") %>% rename(rank = brank) %>% bind_rows(ALAS, .) ALAS <- bas %>% filter(position=='5' & sub_league_id =='0') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="3B") %>% rename(rank = brank) %>% bind_rows(ALAS, .) ALAS <- bas %>% filter(position=='6' & sub_league_id =='0') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="SS") %>% rename(rank = brank) %>% bind_rows(ALAS, .) ALAS <- bas %>% filter(position=='7' & sub_league_id =='0') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="LF") %>% rename(rank = brank) %>% bind_rows(ALAS, .) ALAS <- bas %>% filter(position=='8' & sub_league_id =='0') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="CF") %>% rename(rank = brank) %>% bind_rows(ALAS, .) ALAS <- bas %>% filter(position=='9' & sub_league_id =='0') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="RF") %>% rename(rank = brank) %>% bind_rows(ALAS, .) #filter out hitters already selected to all-star game lasth <- anti_join(bas, ALAS, by=c("brank"= "rank")) #select top 6 players not already selected ALAS <- lasth %>% filter(sub_league_id =='0') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(6,brank) %>% mutate(pos="H") %>% rename(rank = brank) %>% bind_rows(ALAS, .) #select top 2 C and top 1 for every other position NLAS <- bas %>% filter(position=='2' & sub_league_id =='1') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(2,brank) %>% mutate(pos="C") %>% rename(rank = brank) %>% bind_rows(NLAS, .) NLAS <- bas %>% filter(position=='3' & sub_league_id =='1') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="1B") %>% rename(rank = brank) %>% bind_rows(NLAS, .) NLAS <- bas %>% filter(position=='4' & sub_league_id =='1') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="2B") %>% rename(rank = brank) %>% bind_rows(NLAS, .) NLAS <- bas %>% filter(position=='5' & sub_league_id =='1') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="3B") %>% rename(rank = brank) %>% bind_rows(NLAS, .) NLAS <- bas %>% filter(position=='6' & sub_league_id =='1') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="SS") %>% rename(rank = brank) %>% bind_rows(NLAS, .) NLAS <- bas %>% filter(position=='7' & sub_league_id =='1') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="LF") %>% rename(rank = brank) %>% bind_rows(NLAS, .) NLAS <- bas %>% filter(position=='8' & sub_league_id =='1') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="CF") %>% rename(rank = brank) %>% bind_rows(NLAS, .) NLAS <- bas %>% filter(position=='9' & sub_league_id =='1') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(1,brank) %>% mutate(pos="RF") %>% rename(rank = brank) %>% bind_rows(NLAS, .) #filter out hitters already selected to all-star game lasth <- anti_join(bas, NLAS, by=c("brank"= "rank")) #select top 6 players not already selected NLAS <- lasth %>% filter(sub_league_id =='1') %>% select(player_id, name, brank, war) %>% arrange(desc(brank)) %>% top_n(6,brank) %>% mutate(pos="H") %>% rename(rank = brank) %>% bind_rows(NLAS, .) #create AL table for export to forum ALASF <- ALAS %>% select(player_id, name, war) %>% merge(players[ , c("player_id", "position", "team_id")], by = "player_id") %>% merge(pos[ , c("posnum","posval")], by.x='position', by.y = 'posnum') %>% merge(teams[ , c("team_id", "abbr")], by = "team_id") %>% select(c(6,4,5,7)) %>% mutate(war = round(war, digits = 2)) %>% rename(position = posval, team = abbr) %>% arrange(desc(war)) #create NL table for export to forum NLASF <- NLAS %>% select(player_id, name, war) %>% merge(players[ , c("player_id", "position", "team_id")], by = "player_id") %>% merge(pos[ , c("posnum","posval")], by.x='position', by.y = 'posnum') %>% merge(teams[ , c("team_id", "abbr")], by = "team_id") %>% select(c(6,4,5,7)) %>% mutate(war = round(war, digits = 2)) %>% rename(position = posval, team = abbr) %>% arrange(desc(war)) #Create tables to use for in-game voting ALAS <- ALAS %>% separate(name, c("first","last"), sep = " ") %>% arrange(last) %>% unite("name", c("first", "last"), sep = " ") %>% select(name) NLAS <- NLAS %>% separate(name, c("first","last"), sep = " ") %>% arrange(last) %>% unite("name", c("first", "last"), sep = " ") %>% select(name) View(ALAS) View(NLAS) #send AL and NL tables to clipboard #write_clip(ALASF) #write_clip(NLASF) |
04-06-2019, 06:20 PM | #683 |
Hall Of Famer
|
1937 MLB All-Star Rosters
American League:
position name war team P Matt Rex 4.68 CLE P Kane Lake 4.37 BOS P Gabe Morton 4.03 SEA SS Carson Gilliland 3.86 MIN 2B Artur Vallejo 3.61 HOU 1B Fred Westbrook 3.46 TB P Thomas Stendel 3.43 CHA LF Blake Gribler 3.31 TEX P Joe Smoot 3.3 TB CF Cristian Bell 2.92 CLE SS Dexter Stallworth 2.91 CLE 1B Alber Diesburg 2.28 OAK 2B Dylan Hale 2.28 TEX P Alex Derk 2.2 DET C Kyle Platt 2.19 KC C Jason Servais 2.17 CLE LF Jules Marty 2.15 DET RF Colton Willis 2.08 TEX 2B Tavis Ysassi 2 TB CF Pete Hinson 1.94 NYY 3B Cristopher Bandini 1.49 SEA P Billy Cornier 0.58 NYY P Mikko Mansikka 0.36 DET P Robb Auch 0.17 BAL P Hermann Wacker 0.1 SEA National League: position name war team P Noah Luevanos 4.24 STL P Steve Flores 4.15 NYM SS Lester Taylor 3.86 FLA P Ansel Thomas 3.77 STL 1B Leandro Quiroz 3.61 LAD CF Jo Magallanes 3.6 NYM P Tony Willson 3.32 SD 1B Nathanael Clark 3.28 ARI 2B Nathanael Acker 3.2 SD P John Kalinoski 3.17 ATL SS Carter Silberstein 3.14 MIL P Graham Griffith 3.09 MIL 1B Gunnar Grima 3.09 SD SS Reggie Veras 2.89 SF C Ronnie Mellinger 2.58 ARI LF Fabio Abreu 2.56 CHC RF Erik Hutchins 2.3 SD CF John Button 2.2 CHC P Matthew Willard 2.09 ARI 3B Sultan Slade 1.93 COL RF Cason Bautista 1.89 PHI C Marek Vesik 1.45 CHC P Corbin Cuva 1.08 MIL P Charlie Kleiber 0.51 COL P Tom Book 0.24 PHI |
04-06-2019, 06:41 PM | #684 |
Hall Of Famer
|
Achievements, June through October 1937
MLB Owner Changes:
MLB Career Milestones: Lester Taylor, Florida Marlins - 2000 H Mike Jernigan, Baltimore Orioles - 2000 H No-Hitters/Perfect Games: Lawrence Gill, Binghamton, AA - 7K, 1BB J.P. Perez, Billings, R - 9K, 2BB Jude Birmingham, Long Island, IND - 4K, 2BB Caraun Williams, Brooklyn, A- - 5K, 1BB Tommy See, Billings, R - 10K, 1BB 15+ Strikeout Games: Hitting Streaks Ended: Adam Fisher, New York Yankees, MLB - 25G Brody Swanson, New York Yankees, MLB - 25G Jared Held, Long Island, IND - 25G Ryusei Yamashida, Oklahoma City, AAA - 29G Zeke Riddle, El Paso, AAA - 26G |
04-06-2019, 06:44 PM | #685 |
Hall Of Famer
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1937 MLB Playoffs
The Astros win their first World Series since 1910
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04-06-2019, 07:29 PM | #686 |
Hall Of Famer
|
MLB Awards Selection
I'm not able to do everything I would like with this one - Most of the advanced stats are not exportable from the in-game database and there is no flag that I can find for MLB rookies.
Code:
#library(readr) #library(dplyr) #leagues <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/general/leagues.csv") #import data (players_basic, players_value, players_career_pitching_stats, players_career_batting_stats) players <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players.csv") players <- unite(players, name, c("first_name","last_name"), sep = " ") players_career_pitching_stats <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players_career_pitching_stats.csv") players_value <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players_value.csv") players_career_batting_stats <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players_career_batting_stats.csv") #Reduce pitching data to MLB in current year and find rank pmlb <- players_career_pitching_stats %>% select(player_id, year, league_id, team_id, split_id, bf, gs, wpa, war) %>% filter(league_id=='100' & split_id=='1'& year==max(year)) %>% merge(players[ , c("player_id", "name")], by = "player_id") %>% merge(players_value[ , c("player_id", "pot")], by = "player_id") %>% merge(teams[ , c("team_id", "sub_league_id")], by = "team_id") %>% mutate(sprank = wpa+2*war, rprank = 2*wpa+war) #Reduce hitting data to MLB in current year and find rank bmlb <- players_career_batting_stats %>% select(player_id, year, league_id, team_id, split_id, pa, wpa, war) %>% filter(league_id=='100' & split_id=='1'& year==max(year)) %>% merge(players[ , c("player_id", "name")], by = "player_id") %>% merge(players_value[ , c("player_id", "pot")], by = "player_id") %>% merge(teams[ , c("team_id", "sub_league_id")], by = "team_id") %>% mutate(rank = wpa+2*war, position = "H") #merge hitters and pitchers for MVP mlbmvp <- pmlb %>% bind_rows(bmlb) %>% arrange(sub_league_id, desc(rank)) %>% group_by(sub_league_id) %>% top_n(3, rank) %>% select(player_id, name,position, sub_league_id) #POY award mlbpoy <- pmlb %>% arrange(sub_league_id, desc(sprank)) %>% group_by(sub_league_id) %>% top_n(3, sprank) %>% select(player_id, name, sub_league_id) #Reliever award mlbreloy <- pmlb %>% filter(gs=='0' & wpa>'0') %>% arrange(sub_league_id, desc(rprank)) %>% group_by(sub_league_id) %>% top_n(3,rprank) %>% select(name, sub_league_id) View(mlbmvp) View(mlbpoy) View(mlbreloy) |
04-06-2019, 07:50 PM | #687 |
Hall Of Famer
|
1937 MLB Award Winners
AL MVP: Blake Gribler, LF, Texas Rangers - 4.9 WAR, 141 wRC+, 1.0 ZR NL MVP: Lester Taylor, SS, Florida Marlins - 5.9 WAR, 129 wRC+, 10.5 ZR AL Top Pitcher: Kane Lake, LHP, Boston Red Sox - 7.2 WAR, 80 FIP-, 1.8 K/BB NL Top Pitcher: Tony Willson, RHP, San Diego Padres - 5.7 WAR, 88 FIP-, 1.4 K/BB AL Rookie of the Year: Curt Scott, RF, Detroit Tigers - 5.0 WAR, 141 wRC+, 1.0 ZR NL Rookie of the Year: Oliver Cutler, 2B, New York Mets - 2.3 WAR, 117 wRC+, 5.3 ZR |
04-06-2019, 07:54 PM | #688 |
Hall Of Famer
|
1937 Free Agency
Not very much this offseason with Gunnar Grima, 3-time all-star and two-time silver slugger looking to be one of the most attractive free agents. |
04-06-2019, 10:21 PM | #689 |
Hall Of Famer
|
Unsigned Draftees
I am still moving the top unsigned draftees into college. Here's the code for that. I imagine there's some kind of a loop that can combine the two and automatically create a table that will match up the draftees with a school.
Code:
#library(readr) #library(dplyr) #library(lubridate) #teams <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/general/teams.csv") #leagues <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/general/leagues.csv") #import data (players_basic, players_value, players_career_pitching_stats, players_career_batting_stats) players <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players.csv") players <- unite(players, name, c("first_name","last_name"), sep = " ") players_value <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players_value.csv") ncaadate <- mdy(paste(3,"/",27,"/",as.numeric(players$age[players$player_id == '24']) + as.numeric(year(players$date_of_birth[players$player_id == '24'])) + 1)) #Teams with fewer than 20 players lowteams <- players %>% filter(league_id == '208') %>% group_by(team_id) %>% tally() %>% merge(teams[ , c("team_id", "name")], by = "team_id") %>% arrange(n) %>% filter(n < '20') #Top unsigned players draftees <- players %>% select(league_id, player_id, name, age, date_of_birth) %>% merge(leagues[ , c("league_id", "league_level")], by = "league_id", all = TRUE) %>% merge(players_value[ , c("player_id", "offensive_value_talent", "pitching_value_talent")], by = "player_id") %>% replace_na(list(league_level = 0)) %>% filter((league_id == '0' & age <= 19) | league_level == '11') %>% mutate(nxtage = ncaadate - ymd(date_of_birth), value = pmax(offensive_value_talent,pitching_value_talent)) %>% filter(nxtage >= '6877' & value >=1000) %>% arrange(desc(value)) %>% select(name) View(lowteams) View(draftees) |
04-06-2019, 10:39 PM | #690 |
Hall Of Famer
|
1937 Hall of Fame
Jeremiah Inman, RF Inman was drafted 1st overall in 1916 out of the University of Illinois. He won one MVP, two gold gloves, four silver sluggers, went to 7 all-star games, and was an LCS MVP. He's a borderline RF HOF candidate but did have a slightly better career than Wes Grossman who is already in the Hall. When compared to other RF, he ranks 6th in hits, 3rd in doubles, 3rd in triples, and 4th in walks. Career Stats: 8883 PA, 2146 H, 199 SB, .361 wOBA, 120 wRC+, 67.0 ZR, 42.8 WAR, 40.6 JAWS Marlon Pepper, RHP Pepper wasn't particularly close to the Hall but he put together a solid career nonetheless, attending two all-star games. His name is a memorable one from the feeder league ranks as he was Oregon High School Pitcher of the Year three times, MVP once, and finished in the top three two more times. He was drafted 4th overall by the Cubs and had 13 above average seasons in the major leagues. Career Stats: 3185.7 IP, 986 BB, 937 K, 3.85 FIP, 97 FIP-, 46.0 WAR, 37.9 JAWS |
04-06-2019, 10:44 PM | #691 |
Hall Of Famer
|
1937 FA Summary
Gunnar Grima is just bouncing around California in his career - from Oakland to San Diego to San Francisco. He signed with the Giants for 6 years. |
04-06-2019, 10:50 PM | #692 |
Hall Of Famer
|
1938 Top 100 Prospects
The top prospect is an injured pitcher - Teo Alarcon is out with a strained abdominal muscle. The top hitter is Jack Schofield, 1935's 4th overall pick. |
04-06-2019, 11:30 PM | #693 |
Hall Of Famer
|
1938 NCAA All-Stars
Team 1:
position name war school CF Buck Henna 1.87 SMG 2B Duval Rankins 1.83 TUL C O.K. Olson 1.67 VIR LF Connor Gosewisch 1.65 MIN P Paul Trower 1.61 STAN 2B Derek Alfrego 1.46 SMG 2B William Williams 1.44 NMSU P Atley Smallwood 1.3 DUK P Jevon Flory 1.26 CSF 1B Zachery McGehee 1.24 LOY P Wyatt Gregory 1.18 OK CF Orion Nance 1.14 SCG P Gabe Nelson 1.08 OSU 3B Robert Henry 1.05 SJSU C Arnold Settle 1.02 ASU P Terrence Mahan 0.97 TTU RF D.J. Marsh 0.96 UNM SS Blake Lira 0.93 STAN P Howard Osborne 0.55 PSU P Kevin Danley 0.47 PUR Team 2: position name war school P John Gagliardini 1.81 ECP 2B Wayne Colvin 1.8 OKST 2B Julian Redlich 1.77 MIA CF Logan Polkow 1.75 SHP P Curio Hubbert 1.63 PUR 2B Carlos Castaneda 1.5 PEP 3B Jaxon Bradley 1.49 LOY RF Ryder Santana 1.48 ALA 2B Marcus Carlin 1.43 SHP SS Trevor Byers 1.34 ECP P Kirby Westbrook 1.23 TCU P Kiichi Fujimura 1.19 GEO LF Dave Killen 1.14 GH P Justin Hooper 1.09 BC P Nicky Waitman 0.98 UNC 1B Blaze Hollman 0.86 CSF P Deshane Rogers 0.62 STAN C Karl Hofer 0.61 STAN C Mark Petrov 0.59 PEP P Alexander Fowler 0.26 NCST |
04-07-2019, 12:00 AM | #694 |
Hall Of Famer
|
1938 College Playoffs
The Lobos bring the first championship to New Mexico.
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04-07-2019, 12:06 AM | #695 |
Hall Of Famer
|
Achievements, April/May 1938
MLB Owner Changes:
MLB Career Milestones: Jax Slaughter, Tampa Bay Devil Rays - 2000 H No-Hitters/Perfect Games: Owen Oden, Daytona, A+ - 3K, 3BB 15+ Strikeout Games: 7 Hits: Conor Seals, De La Salle, IHSA Hitting Streaks Ended: Buck Hena, St Marys, NCAA - 25G Braiden Rhine, Rio Rancho, NMAA - 25G Cody David, Austin, TUIL - 27G Vin Elliott, Teutopolis, IHSA - 28G |
04-07-2019, 12:49 AM | #696 |
Hall Of Famer
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1938 MLB Draft
The top player drafted was Nicky Waitman out of North Carolina. The Red Sox originally drafted Waitman back in 1935 out of high school, but he failed to sign and went to college. The top high school player was also a pitcher - Reggie Sherburne out of Archbishop Molloy. The top batter taken was Marcus Carlin, 2-time NCAA MVP. Round 1, Pick 1 - Boston Red Sox: SP Nicky Waitman, age 21 Round 1, Pick 2 - Baltimore Orioles: SP Reggie Sherburne, age 18 Round 1, Pick 3 - Pittsburgh Pirates: 2B Marcus Carlin, age 21 Round 1, Pick 4 - Minnesota Twins: SP George Nobles, age 21 Round 1, Pick 5 - Atlanta Braves: C Karl Hofer, age 21 Round 1, Pick 6 - Kansas City Royals: 2B William Williams, age 21 Round 1, Pick 7 - Colorado Rockies: SP Justin Glatfelter, age 18 Round 1, Pick 8 - Cincinnati Reds: SP Kirby Westbrook, age 21 Round 1, Pick 9 - Seattle Mariners: SP Justin Hooper, age 21 Round 1, Pick 10 - San Diego Padres: SP Aramis De Boer, age 21 Round 1, Pick 11 - Los Angeles Angels: C Mark Petrov, age 21 Round 1, Pick 12 - Florida Marlins: RF Adam Sims, age 18 Round 1, Pick 13 - San Francisco Giants: SS Terrence Briley, age 22 Round 1, Pick 14 - Houston Astros: CF Dan Holloway, age 18 Round 1, Pick 15 - St. Louis Cardinals: SP Facundo Ross, age 21 Round 1, Pick 16 - Arizona Diamondbacks: SP Corbin Noble, age 18 Round 1, Pick 17 - Montreal Expos: LF Dave Killen, age 21 Round 1, Pick 18 - Tampa Bay Devil Rays: RF Casey West, age 21 Round 1, Pick 19 - Los Angeles Dodgers: SP Jeremiah Schwartz, age 21 Round 1, Pick 20 - New York Yankees: LF Austin Maruca, age 18 Round 1, Pick 21 - Philadelphia Phillies: 1B Travis Jensen, age 21 Round 1, Pick 22 - New York Yankees: SP Isidoro Muñoz, age 21 Round 1, Pick 23 - Milwaukee Brewers: SP Dallas Wasi, age 21 Round 1, Pick 24 - Texas Rangers: 2B Derek Alfrego, age 21 Round 1, Pick 25 - Colorado Rockies: 2B River Litchfield, age 21 Round 1, Pick 26 - Cleveland Indians: RP Connor Morris, age 22 Round 1, Pick 27 - Toronto Blue Jays: SP Liam Bond, age 21 Round 1, Pick 28 - Houston Astros: 2B Duval Rankins, age 21 Round 1, Pick 29 - New York Mets: SP Suelita Pena, age 21 |
04-07-2019, 01:01 AM | #697 |
Hall Of Famer
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1938 MLB All-Star Rosters
American League:
position name war team P Gabe Morton 4.18 SEA 2B Sebastian Carpenter 4.11 LAA P James Clay 3.72 SEA P Rutherford Jennings 3.43 HOU RF Curt Scott 3.33 DET LF Cristopher De La Cruz 3.23 TOR P Danny Roy 3.22 OAK P Ethan McBroom 3.15 CHA P Griffin Clark 3.09 BOS 2B Tavis Ysassi 3.03 TB SS J.R. Jackson 2.94 NYY CF James Belisle 2.79 SEA 2B Dylan Hale 2.6 TEX CF Michal Delaney 2.54 CHA 3B Sancho Rosas 2.43 TOR 2B Artur Vallejo 2.42 HOU LF Blake Gribler 2.37 TEX C Whitby Taylor 1.92 NYY 1B Fred Westbrook 1.88 TB C Rafael Otalora 1.81 TB 3B Cristopher Bandini 1.6 SEA P Mikko Mansikka 1.5 DET P Rusty De La Torre 1.46 TOR P Hermann Wacker 1.29 SEA P Marcel Martin 1.08 TEX National League: position name war team P Pedro Ramos 4.16 SF LF Derek Allen 4.11 PHI P Lucas Roe 4.01 SD 1B Leandro Quiroz 3.97 LAD P Noah Luevanos 3.96 STL P Steve Flores 3.88 NYM P Bond Lott 3.84 PHI CF Dale Estrada 3.47 MIL P Tony Willson 3.42 SD CF Julian Burke 3.25 STL 2B Anthony Taubman 3.24 ATL 2B Oliver Cutler 3.1 NYM CF John Button 3.02 CHC 2B Mike Sullivan 2.94 STL RF Ignacio Gonzalez 2.82 PIT LF Gavin Coffey 2.52 MIL RF Leo Mendoza 2.45 CHC SS Elliot Raprap 2.21 MON 3B Gilbert Mosca 2.14 FLA C Laverne Archambault 1.87 MON C Jameson Cox 1.58 NYM P David Hardin 1.56 ATL P Clinton Ware 1.39 CHC P Corbin Cuva 1.2 MIL P Eddie Carlson 0.57 ARI |
04-07-2019, 01:21 AM | #698 |
Hall Of Famer
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Achievements, June through October 1938
MLB Owner Changes:
Philadelphia Phillies sold from Yerik Gregory to Sam Spencer MLB Career Milestones: No-Hitters/Perfect Games: Giraldo Garza, Kane County, A - 5K, 3BB Jimmy Ulloa, San Antonio, AA - 7K, 5BB Johnny Dougherty, Boise, A- - 9K, 1BB Josiah Owens, Akron, AA - 3K, 2BB Shaw Calvani, Ogden, R - 9K, 0BB - PERFECT GAME 15+ Strikeout Games: Millard Dougals, Peoria, A - 15K Hitting Streaks Ended: Yancey Middleton, Colorado Springs, AAA - 28G Takashi Koganemaru, Southern Maryland, IND - 27G Fred Westbrook, Tampa Bay Devil Rays, MLB - 33G Fred Westbrook, Tampa Bay Devil Rays, MLB - 34G Westbrook had three games of no hits scattered within 14 games between his 33 and 34 game streaks. Dylan Reid, Charlotte, AAA - 31G Will Doguape, Ogden, R - 27G |
04-07-2019, 01:22 AM | #699 |
Hall Of Famer
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1938 MLB Playoffs
The Detroit Tigers win their first World Series. That leaves 10 teams with no championship yet.
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04-07-2019, 05:51 PM | #700 |
Hall Of Famer
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1938 MLB Award Winners
AL MVP: Curt Scott, RF, Detroit Tigers - 5.1 WAR, 147 wRC+, -3.0 ZR NL MVP: Leandro Quiroz, 1B, Los Angeles Dodgers - 6.7 WAR, 149 wRC+, 12.0 ZR AL Top Pitcher: James Clay, RHP, Boston Red Sox - 6.1 WAR, 81 FIP-, 1.7 K/BB NL Top Pitcher: Lucas Roe, LHP, San Diego Padres - 7.0 WAR, 78 FIP-, 1.3 K/BB AL Rookie of the Year: Simon Sheffield, LHP, Toronto Blue Jays - 3.7 WAR, 78 FIP-, 1.4 K/BB NL Rookie of the Year: Anthony Taubman, 2B, Atlanta Braves - 5.3 WAR, 122 wRC+, 12.3 ZR |
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