Baseball Player Won-Loss Records
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2018 Season

The 2018 Season as seen through the Prism of Player Won-Lost Records

With my latest update to Player won-lost records, I have introduced some fairly significant changes. In acknowledgement of this, I am going to update my season write-ups to reflect these changes. First up, the most recent season for which I have calculated Player won-lost records, the 2018 season.

This article takes a look at the 2018 season as measured by Player won-lost records.

The Best of 2018

I calculate Player won-lost records two ways: pWins, which tie to team wins and eWins, which control for context and the ability of one's teammates. For players with more pWins than eWins, their Player wins contributed to more team wins than one might expect; for players with more eWins than pWins, just the opposite is true: their Player wins translated into fewer team wins than expected. Or more briefly: a player with more pWins than eWins was better in context, a player with more eWins than pWins was worse in context.

The top 10 players in pWins above Positional Average and Replacement Level were as follows.

pWins over Positional Average
Top 10 Players
pWins over Replacement Level
Top 10 Players
Player pWins pLosses pWOPA pWORL Player pWins pLosses pWOPA pWORL
1Mookie Betts22.414.27.7
9.5
1Mookie Betts22.414.27.7
9.5
2Max Scherzer16.610.77.1
8.8
2Max Scherzer16.610.77.1
8.8
3Alex Bregman24.317.46.5
8.5
3Alex Bregman24.317.46.5
8.5
4Mike Trout19.913.66.4
8.0
4J.D. Martinez19.412.66.3
8.2
5J.D. Martinez19.412.66.3
8.2
5Mike Trout19.913.66.4
8.0
6Andrew Benintendi22.616.16.1
7.9
6Andrew Benintendi22.616.16.1
7.9
7Aaron Nola15.710.96.0
7.7
7Aaron Nola15.710.96.0
7.7
8Justin Verlander15.39.85.8
7.5
8Javier Baez22.216.25.7
7.6
9Xander Bogaerts20.014.45.8
7.4
9Christian Yelich24.618.15.5
7.5
10Javier Baez22.216.25.7
7.6
10Justin Verlander15.39.85.8
7.5


The top 10 players in eWins above Positional Average and Replacement Level were as follows.

eWins over Positional Average
Top 10 Players
eWins over Replacement Level
Top 10 Players
Player eWins eLosses eWOPA eWORL Player eWins eLosses eWOPA eWORL
1Mike Trout20.912.68.2
9.8
1Mike Trout20.912.68.2
9.8
2Jacob deGrom15.49.77.1
8.7
2Mookie Betts22.114.57.0
8.8
3Mookie Betts22.114.57.0
8.8
3Jacob deGrom15.49.77.1
8.7
4Max Scherzer16.111.26.2
7.9
4Max Scherzer16.111.26.2
7.9
5Chris Sale10.55.65.1
6.2
5Christian Yelich24.218.64.8
6.8
6Justin Verlander14.810.24.9
6.6
6Justin Verlander14.810.24.9
6.6
7Christian Yelich24.218.64.8
6.8
7J.D. Martinez18.513.54.4
6.4
8Trevor Bauer11.87.24.8
6.1
8Chris Sale10.55.65.1
6.2
9Patrick Corbin13.710.24.6
6.1
9Corey Kluber14.610.44.5
6.2
10Blake Snell13.49.04.6
6.1
10Alex Bregman23.118.64.2
6.2


I take a look at some of the most interesting players of 2018 at the end of this article.

2018 Postseason

The 2018 postseason saw the Boston Red Sox complete what was, in terms of wins, the most successful in franchise history (the 1912 Red Sox had a slighly higher regular-season winning percentage) with a resounding World Series victory in five games over the Los Angeles Dodgers, who won their second consecutive National League pennant.

The top performers of the 2018 postseason, as measured by Player won-lost records, are shown in the next several tables.

2018 Postseason: Total
Player Team pWins pLosses pWORL
Steven PearceBOS1.90.61.4
Rafael DeversBOS1.70.71.0
Jackie BradleyBOS1.60.80.9
J.D. MartinezBOS1.60.90.9
Aaron JudgeNYA1.30.50.9
Justin TurnerLAN2.51.70.9
Nathan EovaldiBOS1.30.70.8
Max MuncyLAN2.01.30.8
David PriceBOS2.01.60.8
Corey KnebelMIL0.80.20.7


Top postseason players by round were as follows.

2018 World Series
Player Team pWins pLosses Net Wins
Steven PearceBOS1.20.21.0
Joe KellyBOS0.50.10.4
Rafael DeversBOS0.60.20.3
J.D. MartinezBOS0.70.40.3
David PriceBOS1.10.80.3

2018 Postseason: League Championship Series
Player Team pWins pLosses Net Wins
Jackie BradleyBOS1.10.30.8
Rafael DeversBOS0.80.30.5
David PriceBOS0.90.40.5
Corey KnebelMIL0.60.20.4
Kenley JansenLAN0.50.10.4

2018 Postseason: Division Series
Player Team pWins pLosses Net Wins
Justin TurnerLAN0.90.20.6
Marwin GonzalezHOU0.90.20.6
Alex BregmanHOU0.80.10.6
Mike MoustakasKCA0.80.20.6
Max MuncyLAN0.90.40.6

2018 Postseason: Wild Card Round
Player Team pWins pLosses Net Wins
Aaron JudgeNYA0.50.00.5
Luis SeverinoNYA0.50.30.2
Kyle FreelandCOL0.30.10.2


Best of 2018 by Factor and Position

Next, let's look at the top players in various aspects of the game.
Best by Factor: Batting, Baserunning, Pitching, Fielding
There are four basic factors for which players earn Player won-lost records: Batting, Baserunning, Pitching, and Fielding. The top players in 2018 in wins over positional average (WOPA) by factor were as follows.

Batting
Context-Neutral Context-Dependent
Player eWins eLoss eWOPA Player pWins pLoss pWOPA
1Mike Trout14.78.3
6.3
1J.D. Martinez16.39.46.9
2Mookie Betts14.89.2
5.6
2Alex Bregman18.111.76.3
3Christian Yelich17.912.3
5.1
3Mookie Betts15.18.96.2
4J.D. Martinez15.310.4
4.9
4Khris Davis16.710.85.9
5Alex Bregman17.012.8
4.2
5Christian Yelich18.112.05.6
6Jose 'Lapara' Ramirez15.511.4
4.1
6Xander Bogaerts14.49.44.9
7Paul Goldschmidt15.211.0
3.8
7Mike Trout13.99.24.7
8Khris Davis15.611.9
3.6
8Andrew Benintendi14.710.14.5
9Bryce Harper15.311.5
3.3
9Paul Goldschmidt15.510.74.5
10Max Muncy10.87.2
3.3
10Jose 'Lapara' Ramirez15.611.34.2
Positional Average excludes pitcher offense
Baserunning
Context-Neutral Context-Dependent
Player eWins eLoss eWOPA Player pWins pLoss pWOPA
1Javier Baez1.91.0
0.9
1Javier Baez2.10.81.2
2Brett Gardner1.60.9
0.7
2Brett Gardner1.70.80.9
3Billy Hamilton1.40.8
0.6
3Lorenzo Cain2.11.10.9
4Lorenzo Cain1.91.3
0.5
4Mike Trout1.40.80.6
5Trea Turner2.01.4
0.5
5Harrison Bader1.20.60.6
6Mookie Betts1.51.0
0.5
6Cody Bellinger1.30.70.6
7Greg Allen1.10.6
0.5
7Ozzie Albies1.40.80.6
8Michael A. Taylor1.10.6
0.4
8Jackie Bradley1.10.50.5
9Jose Altuve1.30.9
0.4
9Jake Bauers0.90.40.5
10Mallex Smith1.51.1
0.4
10Brian W. Anderson1.61.10.5
Positional Average excludes pitcher offense
Pitching
Context-Neutral Context-Dependent
Player eWins eLoss Net eWins Player pWins pLoss Net pWins
1Jacob deGrom13.68.6
5.1
1Max Scherzer14.98.96.0
2Chris Sale9.95.9
4.0
2Edwin O. Diaz9.03.25.8
3Max Scherzer13.910.0
4.0
3Blake Treinen9.03.35.8
4Justin Verlander14.110.4
3.7
4Aaron Nola14.59.05.6
5Trevor Bauer11.27.4
3.7
5Justin Verlander15.09.55.5
6Blake Snell12.79.2
3.5
6Gerrit Cole12.77.94.8
7Corey Kluber14.010.5
3.4
7Blake Snell13.28.74.5
8Aaron Nola13.410.1
3.3
8Kyle Freeland13.89.34.5
9Carlos Carrasco12.49.3
3.1
9Trevor Bauer11.57.04.5
10Edwin O. Diaz7.74.6
3.1
10Miles Mikolas11.77.34.4


Fielding by Position


Fielding, P
Context-Neutral Context-Dependent
Player eWins eLosses Net eWins Player pWins pLosses Net pWins
1Marcus Stroman0.50.2
0.3
1Tyler Anderson0.60.20.4
2Brent Suter0.30.1
0.3
2Wade Miley0.40.10.3
3Jacob deGrom0.30.1
0.2
3Jacob deGrom0.30.10.2
4Patrick Corbin0.30.1
0.2
4Zack Greinke0.30.10.2
5Jason Vargas0.30.0
0.2
5Patrick Corbin0.30.10.2


Fielding, C
Context-Neutral Context-Dependent
Player eWins eLosses Net eWins Player pWins pLosses Net pWins
1Salvador Perez1.51.1
0.4
1Salvador Perez1.61.00.5
2Mike Zunino1.20.8
0.4
2Mike Zunino1.30.80.5
3Manny Pina1.20.9
0.3
3Manny Pina1.30.80.5
4Kevin Plawecki0.90.7
0.3
4Willson Contreras1.71.30.4
5Martin Maldonado1.31.0
0.3
5J.T. Realmuto1.51.10.4


Fielding, 1B
Context-Neutral Context-Dependent
Player eWins eLosses Net eWins Player pWins pLosses Net pWins
1Matt Olson2.51.8
0.7
1Matt Olson2.81.61.2
2Carlos Santana2.82.2
0.6
2Anthony Rizzo2.61.90.7
3Anthony Rizzo2.42.1
0.4
3Yonder Alonso2.51.90.5
4Trey Mancini0.90.6
0.4
4Yulieski Gurriel1.91.30.5
5Freddie Freeman2.82.5
0.3
5Brandon Belt2.01.50.5


Fielding, 2B
Context-Neutral Context-Dependent
Player eWins eLosses Net eWins Player pWins pLosses Net pWins
1Kolten Wong4.03.2
0.9
1Jed Lowrie4.03.10.9
2DJ LeMahieu4.73.9
0.8
2DJ LeMahieu4.73.80.9
3Jed Lowrie3.93.2
0.6
3Kolten Wong4.03.10.9
4Wilmer Difo2.92.5
0.5
4Rougned Odor4.23.50.7
5Rougned Odor4.13.6
0.5
5Adam Frazier1.81.20.7


Fielding, 3B
Context-Neutral Context-Dependent
Player eWins eLosses Net eWins Player pWins pLosses Net pWins
1Matt Chapman6.24.4
1.8
1Matt Chapman6.04.61.3
2Nolan Arenado5.24.4
0.7
2David Bote2.21.11.2
3Kyle Seager5.65.0
0.6
3Matt Carpenter2.21.50.7
4Travis Shaw3.22.6
0.6
4Jose 'Lapara' Ramirez3.52.80.7
5Anthony Rendon3.32.7
0.6
5Travis Shaw3.22.50.7


Fielding, SS
Context-Neutral Context-Dependent
Player eWins eLosses Net eWins Player pWins pLosses Net pWins
1Nick Ahmed5.74.8
0.9
1Marcus Semien6.75.11.6
2Andrelton Simmons5.34.6
0.7
2Dansby Swanson4.93.71.2
3Jose Iglesias4.43.7
0.7
3Nick Ahmed5.84.71.1
4Carlos Correa3.52.9
0.7
4Addison Russell3.92.81.1
5Jean Segura5.14.6
0.5
5Carlos Correa3.72.71.0


Fielding, LF
Context-Neutral Context-Dependent
Player eWins eLosses Net eWins Player pWins pLosses Net pWins
1Adam Duvall3.72.6
1.1
1Andrew Benintendi6.14.41.7
2Andrew Benintendi5.84.8
1.0
2Corey Dickerson5.33.71.5
3Eddie Rosario5.24.3
0.9
3Jordan Luplow2.00.51.5
4Corey Dickerson4.94.1
0.8
4Kyle Schwarber4.63.21.4
5Alex Gordon5.44.7
0.7
5Adam Duvall3.82.61.2


Fielding, CF
Context-Neutral Context-Dependent
Player eWins eLosses Net eWins Player pWins pLosses Net pWins
1Starling Marte5.74.7
1.0
1Billy Hamilton6.35.11.2
2Albert Almora3.82.9
0.9
2Albert Almora3.92.81.1
3Mike Trout4.53.8
0.7
3Mike Trout4.73.71.0
4Michael A. Taylor3.32.6
0.7
4Mike Gerber1.10.11.0
5Ender Inciarte5.95.3
0.6
5Leonys Martin4.33.31.0


Fielding, RF
Context-Neutral Context-Dependent
Player eWins eLosses Net eWins Player pWins pLosses Net pWins
1Aaron Judge4.33.3
0.9
1Aaron Judge4.82.82.0
2Max Kepler4.13.3
0.8
2Mookie Betts5.43.51.9
3Kole Calhoun4.53.8
0.7
3Nick Markakis6.85.01.9
4Mookie Betts4.84.1
0.7
4Jason Heyward4.53.51.0
5Nick Markakis6.25.6
0.5
5Carlos Gonzalez4.43.60.8


Best by Position
Next, we look at 2018 Major-League leaders by position. The figures shown here only include Player decisions earned while playing this particular position.

Catcher
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1J.T. Realmuto13.110.6
3.1
1J.T. Realmuto13.310.53.4
2Yasmani Grandal11.49.8
2.2
2Robinson Chirinos10.28.62.3
3Robinson Chirinos9.79.0
1.5
3Yadier Molina11.710.71.6
4Wilson Ramos9.99.3
1.4
4Gary Sanchez8.17.21.6
5Francisco Cervelli9.18.3
1.2
5Buster Posey8.97.91.4


First Base
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Paul Goldschmidt18.013.8
3.2
1Paul Goldschmidt18.213.63.6
2Freddie Freeman18.614.7
2.8
2Jesus Aguilar15.811.63.3
3Jesus Aguilar15.212.2
2.0
3Anthony Rizzo18.314.32.8
4Matt Olson15.713.4
1.7
4Freddie Freeman18.514.82.6
5Max Muncy7.55.6
1.5
5Matt Olson15.813.22.0


Second Base
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Jose Altuve15.913.6
2.7
1Jed Lowrie17.113.44.0
2Jed Lowrie16.314.2
2.5
2Gleyber Torres14.110.83.6
3Adam Frazier6.74.7
2.0
3Robinson Cano8.86.42.6
4Robinson Cano8.27.0
1.4
4Jose Altuve15.813.72.5
5Ketel Marte13.512.3
1.2
5Javier Baez11.28.82.4


Third Base
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Matt Chapman20.316.0
3.9
1Alex Bregman20.814.65.9
2Jose 'Lapara' Ramirez18.114.1
3.6
2Matt Chapman20.715.54.8
3Alex Bregman19.615.7
3.5
3Jose 'Lapara' Ramirez18.413.74.3
4Anthony Rendon18.614.6
3.2
4Travis Shaw14.010.03.5
5Nolan Arenado19.716.0
2.8
5Anthony Rendon18.614.63.1


Shortstop
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Trevor Story21.518.3
2.9
1Xander Bogaerts20.014.45.7
2Francisco Lindor21.318.6
2.8
2Francisco Lindor21.918.13.9
3Manny Machado19.016.5
2.5
3Trevor Story21.917.83.8
4Xander Bogaerts18.316.1
2.3
4Paul DeJong15.512.03.3
5Didi Gregorius17.215.2
2.1
5Dansby Swanson16.213.32.7


Left Field
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Juan Soto15.512.5
2.3
1Andrew Benintendi18.915.34.7
2Eddie Rosario17.114.6
2.0
2Michael Brantley19.216.53.1
3Justin Upton19.417.0
1.9
3J.D. Martinez5.83.72.6
4Rhys Hoskins17.615.1
1.7
4Juan Soto15.612.52.4
5Andrew Benintendi17.315.3
1.5
5Michael Conforto11.38.92.4


Center Field
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Mike Trout19.211.9
7.4
1Mike Trout18.612.46.3
2Aaron Hicks16.314.4
2.0
2Aaron Hicks17.113.73.4
3Lorenzo Cain18.516.4
1.7
3Lorenzo Cain19.115.73.1
4Starling Marte18.716.8
1.6
4Harrison Bader9.46.52.8
5Bryce Harper8.16.7
1.2
5Starling Marte19.316.32.7


Right Field
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Mookie Betts19.313.0
5.9
1Mookie Betts20.012.37.4
2Aaron Judge13.210.1
2.8
2Aaron Judge14.19.24.7
3Mitch Haniger18.315.3
2.6
3Mitch Haniger19.314.44.5
4Christian Yelich10.37.9
1.9
4Stephen Piscotty19.416.42.5
5George Springer7.96.3
1.3
5Nick Markakis21.518.12.3


Starting Pitcher
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Jacob deGrom13.98.6
5.5
1Max Scherzer15.09.06.2
2Chris Sale10.16.0
4.2
2Aaron Nola14.89.15.8
3Max Scherzer14.010.1
4.1
3Justin Verlander15.29.65.8
4Justin Verlander14.310.6
3.9
4Gerrit Cole12.98.05.1
5Trevor Bauer10.97.3
3.8
5Blake Snell13.58.84.9
6Corey Kluber14.210.6
3.7
6Chris Sale10.35.84.7
7Blake Snell12.99.4
3.7
7Kyle Freeland14.09.54.7
8Aaron Nola13.610.3
3.5
8Corey Kluber14.610.24.6
9Patrick Corbin12.59.2
3.5
9Jacob deGrom13.49.24.4
10Carlos Carrasco12.19.1
3.2
10Trevor Bauer11.27.04.3


Relief Pitcher
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Edwin O. Diaz7.84.6
3.0
1Edwin O. Diaz9.13.35.7
2Blake Treinen7.85.0
2.7
2Blake Treinen9.33.55.7
3Jeremy Jeffress6.33.9
2.3
3Craig Kimbrel7.53.14.3
4Jose Leclerc4.82.6
2.1
4Josh Hader8.03.64.2
5Josh Hader6.94.7
2.1
5Jeremy Jeffress7.23.04.1
6Jose Alvarado5.43.4
2.0
6Felipe Vazquez7.84.43.3
7Sean Doolittle3.71.7
1.9
7Aroldis Chapman5.52.62.8
8Tony Watson5.23.3
1.8
8Alex Colome7.24.62.4
9Craig Stammen5.84.0
1.7
9Adam Ottavino7.24.72.4
10Kirby Yates5.43.6
1.7
10Cody Allen7.24.72.4


Designated Hitter
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Khris Davis15.011.7
2.6
1Khris Davis16.110.64.9
2J.D. Martinez9.77.3
2.0
2Nelson R. Cruz13.910.23.1
3Nelson R. Cruz13.210.9
1.6
3J.D. Martinez9.97.12.5


Finally, here are the best at three oft-forgotten positions that can nevertheless matter: pitcher offense, pinch hitting, and pinch running.

Pitcher Offense
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Brent Suter1.10.7
0.8
1Brent Suter1.10.60.9
2Max Scherzer1.31.8
0.7
2Max Scherzer1.51.60.8
3Zack Greinke1.01.4
0.5
3Miles Mikolas1.01.00.6


Pinch Hitter
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Hunter Renfroe1.50.4
1.2
1Hunter Renfroe1.60.41.2
2Brock Holt1.20.5
0.8
2David Bote1.40.21.2
3Brandon Nimmo1.10.4
0.7
3Brock Holt1.30.41.0


Pinch Runner
Context-Neutral Context-Dependent
Player eWins eLosses eWOPA Player pWins pLosses pWOPA
1Derek Fisher0.30.1
0.2
1Lane Adams0.20.00.2
2Lane Adams0.20.0
0.2
2Derek Fisher0.30.10.2
3Rafael Bautista0.20.0
0.1
3Rafael Bautista0.20.00.2


Noteworthy Players of 2018

Both the American League and National League MVP winners finished one vote short of unanimous. Looking at the first two tables presented in this article, Player won-lost records thinks the choice of MVP was perhaps a bit less obvious in both cases.
AL MVP Race: Mookie Betts versus Mike Trout
For the fourth time in his career, Mike Trout finished in second place in the AL MVP voting in 2018. This was probably the first time of those four, however, in which that was generally regarded as the correct vote. I think most people generally agreed that Mookie Betts probably deserved the award over Trout.

In 2018, Trout batted .312/.460/.628 and led the American League in on-base percentage, walks (122), and OPS. He hit 39 home runs, scored 101 runs, and stole 24 bases (out of 26 attempts). He also played his usual fine defensive center field - in fact, Player won-lost records see him as the best defensive CF in the American League in 2018.

In contrast, Mookie Betts batted .346/.438/.640 and led the American League in batting average, slugging percentage, and runs scored (129). He added 32 home runs and 30 stolen bases (in 36 attempts). Betts won a Gold Glove for his fielding in right field. Player won-lost records do not necessarily agree that Betts was the best defensive RF in the American League in 2018 but they do agree that he was an excellent fielder.

Player won-lost records are calculated two ways: in and out of context. Here is how Betts and Trout compare as measured by pWins and eWins, respectively.

Games pWins pLosses pWOPA pWORL eWins eLosses eWOPA eWORL
Mike Trout
140
19.913.66.4
8.0
20.912.68.29.8
Mookie Betts
136
22.414.27.7
9.5
22.114.57.08.8


Betts looks better in context - in part because his team won 108 games while Trout's team only won 80 games (which isn't really Trout's fault; imagine how few they'd win without him). But that wasn't the only reason for the difference. Baseball-Reference provides batting splits by "leverage". They calculate that Mike Trout had an OPS of .839 in high-leverage situations vs. 1.211 in low-leverage situations. In contrast, Mookie Betts had an OPS of 1.155 in high-leverage situations (and 1.096 in low-leverage situations).

Is it Trout's "fault" that he hit more poorly in high-leverage situations than Betts did? Probably not. But it really happened and that really affected the win totals of the Angels and Red Sox. I think that eWins matter and I wouldn't fault anybody for using eWins as their sole measure in MVP voting. Nor would I fault anybody for using pWins alone. Personally, I think I'd be inclined to do something closer to taking a simple average of the two. And Betts beat Trout by a little bit more in either pWOPA or pWORL than Trout beat Betts in eWOPA and eWORL.

Personally, I think that either Betts or Trout would have been a fine choice for American League MVP in 2018. But if I had a vote, I think I would have gone with the consensus, and voted for Mookie Betts.

NL MVP Race: Christian Yelich versus Javier Baez
Like with Betts and Trout, the top two finishers in the NL MVP race rank differently in or out of context. In this case, however, MVP voters went with the player who was stronger when measured by eWins than by pWins.

Games pWins pLosses pWOPA pWORL eWins eLosses eWOPA eWORL
Christian Yelich
147
24.618.15.5
7.5
24.218.64.86.8
Javier Baez
160
22.216.25.7
7.6
21.117.33.65.4


I have to admit that this surprised me. At the end of August, Baez's Chicago Cubs had a record of 79-55 and a 3.5-game lead in the NL Central. In September, the Cubs went a respectable 16-12 and Javier Baez batted .269/.319/.472.

Meanwhile, from September 1st to the end of the regular season, Christian Yelich batted .370/.508/.804 as the Brewers went 20-7 to end their regular season, including a 3-1 win at Wrigley Field on October 1st in Game 163.

It seems kind of obvious that Christian Yelich led the Milwaukee Brewers on their late-season surge to the NL Central title (and best record in the National League). Player won-lost records, however, treat all wins equally. The players on the winning team earn a combined total of two pWins and one pLoss, whether the game took place in April, September, or in Game 7 of the World Series.

Is this reasonable? Well, speaking as a Chicago Cubs fan who was sitting down the left-field line at Wrigley Field for that Game 163, the Cubs missed making the NLDS for a fourth straight season by one win. The obvious missed opportunities were in Game 163 and then in the wild-card game the next night. But you know what? If the Cubs could have figured out a way to score a second run at some point in the first 16 innings of their game in Miami on March 30th, way back in Game 2 of the season, if everything else had played out the same from there on out, the Cubs wouldn't have needed to play Game 163.

Now, that having been said, a win is a win. But a win against your divisional arch-rival - well, that's not only a win for you but also a loss for them. In 2018, Javier Baez batted .290/.326/.554, an OPS of .881. Against the Brewers, though, Baez only batted .239/.329/.343, an OPS of .672. Ouch!

Meanwhile, Christian Yelich batted .326/.402/.598 overall. Against the Cubs, he batted .213/.279/.246. Wait, what!? Honestly, I wasn't expecting that. In Game 163, though, Yelich went 3-for-4 and drove in the Brewers' first run while Baez went 1-for-4 with 2 strikeouts. Is it fair to give Yelich a little extra credit relative to Baez for his Game 163 performance? Sure, absolutely.

The True NL MVP According to Player Won-Lost Records: Max Scherzer
Looking at the first table in this article, the most valuable player in the National League was neither Yelich nor Baez. Ranked by pWins over either positional average (pWOPA) or replacement level (pWORL), the most valuable player in the National League in 2018 was Washington Nationals pitcher Max Scherzer.

Max Scherzer finished the 2018 season with a traditional pitcher won-last record of 18-7. He led the National League in pitcher wins, innings pitched (220.2), strikeouts (300), strikeouts per 9 IP (12.2), K-to-W ratio (5.88), hits per 9 IP (6.1), and WHIP (0.911). It's pretty easy to see how that translates into such a valuable season.

Just for fun, the next table compares Max Scherzer's career through 2018, as measured by Player won-lost records, with the career of first-ballot Hall-of-Famer Sandy Koufax. I think it's a really interesting comparison.

Max Scherzer Sandy Koufax
Age Games pWins pLosses pWOPA pWORL Games pWins pLosses pWOPA pWORL
19
 
122.52.40.20.5
20
 
163.44.4-0.9-0.4
21
 
345.25.8-0.30.4
22
 
4010.212.0-1.4-0.0
23
172.03.6-1.3
-1.0
359.69.40.51.6
24
3111.311.11.0
2.3
3710.512.5-1.5-0.1
25
3111.713.0-1.1
0.4
4217.415.82.34.3
26
3312.212.40.1
1.6
2811.89.23.34.6
27
3211.98.93.4
4.7
4022.513.310.212.4
28
3214.17.96.6
8.0
2915.711.25.37.1
29
3315.210.15.4
7.0
4325.014.511.714.1
30
3415.612.14.5
6.2
4122.816.17.810.1
31
3416.713.24.8
6.7
32
3115.010.06.5
8.1
33
3516.610.77.1
8.8
34
2812.38.64.6
6.0
------ ------ ------ ------ ------ ------ ------ ------ ------ ------ ------
CAREER RECORDS371154.6121.641.5
58.8
397156.7126.637.054.8


Fun with Numbers: Jacob deGrom and Lucas Giolito
Jacob deGrom won the National League Cy Young award. Based on the numbers shown earlier in this article, I might have voted for Max Scherzer, but deGrom had a very strong case - leading all major-league pitchers (and all National League players) in expected wins (eWins) over both positional average (eWOPA) and replacement level (eWORL).

Shortly after deGrom won the Cy Young Award, Sarah Langs (@SlangsOnSports) tweeted a fascinating statistical coincidence.

Obviously, Jacob deGrom had a vastly better season than Lucas Giolito: Giolito's ERA was more than 3.5 times larger than deGrom's. But, at the end of the day, the Mets won 14 of 32 games started by deGrom and the White Sox won 14 of 32 games started by Giolito. Given that pWins are tied to team wins, what do pWins say about the relative performances of deGrom and Giolito? Are they too similar? Well, here's what pWins have to say about their performances. There are a total of 3 pWins per team game, of which approximately one-third are earned by pitchers (for pitching). Hence, pWins are on approximately the same scale as traditional pitcher wins and losses.
pWins pLosses pWORL pWOPA
Jacob deGrom14.410.86.34.7
Lucas Giolito9.913.9-2.1-3.8


And here is a breakdown of the player performances of the Mets and White Sox in deGrom's and Giolito's 32 starts.

pWins pLoss pWin Pct.
New York Mets 46.0 50.0 0.479
Jacob deGrom 14.4 10.8 0.570
Rest of Team 31.6 39.2 0.447
 
Chicago White Sox 46.0 50.0 0.479
Lucas Giolito 9.9 13.9 0.417
Rest of Team 36.1 36.1 0.500


One note that I would make up front is that this is their overall records, including batting. Because deGrom pitched for a National League team, he had 74 plate appearances, in which he batted .164/.211/.179 (which is actually slightly above average for a pitcher but, of course, well below average overall). Giolito, however, pitched for an American League team, so he only had 6 plate appearances all season - in which he went 0-for-6 with 4 strikeouts. So, deGrom's pWin percentage is pulled down by this relative to Giolito - but not deGrom's pWOPA or pWORL, which recognize that deGrom, while a bad hitter for a hitter was a pretty decent hitter for a pitcher.

Another comment I would make is that one reason why deGrom's ERA was so much better than Giolito's is because deGrom basically had no bad starts - you really can't have any truly bad starts and finish with an ERA of 1.70. In contrast, Giolito had four starts in which he pitched 2.0 or fewer innings and allowed 9, 7, 5, and 7 runs (one of the runs was unearned). In those four starts, all of which the White Sox (and Giolito) lost, Giolito had an ERA of 40.50. In his other 28 starts, Giolito had an ERA of 4.89 - which, to be clear, still isn't very good. But calculating Player won-lost records at the game level, very bad isn't all that much worse than pretty bad - all losses end up equal at the end of the day.

Now, those caveats out of the way, the pWins seem to me to be telling a reasonable story. In deGrom's 32 starts, the New York Mets earned a combined 46 pWins (18 in their 18 losses plus 28 in their 14 wins), of which deGrom earned 31.3 percent. In Giolito's 32 starts, the White Sox earned the exact same number of pWins, 46, but Giolito earned only 21.5 percent of them. The White Sox had the same record as the Mets in the 32 games being compared because Giolito's White Sox teammates played much better in his starts (0.500 pWin percentage) than deGrom's teammates played in his starts (0.447 pWin percentage).

Comparing against average (pWOPA) or replacement level (pWORL), the difference in quality between the two pitchers becomes even starker.

That said, is Jacob deGrom's record being adversely affected by the fact that he pitched for a lousy team which gave him crappy support? Yes, he is. Here's a comparison between deGrom and Giolito based on expected wins, eWins.

pWins pLosses pWORL pWOPA
Jacob deGrom15.49.78.77.1
Lucas Giolito10.713.1-0.5-2.2


Basically, Giolito earned his 10-13 record while deGrom deserved a much better record.

Farewell to a Great One: Adrian Beltre Retires
Finally, 2018 was the final season for at least one player who will almost certainly be inducted into the National Baseball Hall of Fame as soon as he is eligible, Adrian Beltre (Beltre will appear on the 2024 Hall-of-Fame ballot which will be released in late 2023).

The next table presents Adrian Beltre's career, as measured by Player won-lost records.

Basic Player Won-Lost Records
Value Decomposition
Season Team Age Games pWins pLosses pWORL pWOPA
1998LAN19
77
6.46.80.1-0.6
1999LAN20
152
15.416.30.3-1.2
2000LAN21
138
17.714.74.52.9
2001LAN22
126
13.014.00.1-1.3
2002LAN23
159
17.715.33.92.2
2003LAN24
158
19.917.93.81.9
2004LAN25
156
24.716.39.67.6
2005SEA26
156
18.118.70.9-0.8
2006SEA27
156
19.617.92.81.1
2007SEA28
149
18.816.93.21.7
2008SEA29
143
16.317.7-0.0-1.6
2009SEA30
111
12.612.31.40.3
2010BOS31
154
18.617.23.11.4
2011TEX32
124
17.513.65.84.2
2012TEX33
156
20.614.28.06.2
2013TEX34
161
19.617.93.51.6
2014TEX35
148
18.416.83.21.6
2015TEX36
143
18.016.23.11.5
2016TEX37
153
21.915.27.96.1
2017TEX38
94
12.59.44.23.0
2018TEX39
119
11.313.2-0.9-2.3
------ ------ ------ ------ ------
CAREER (reg. season)
2,933
358.5318.368.435.6
------ ------ ------ ------ ------
PostSeason (career)
28
3.42.61.10.8
------ ------ ------ ------ ------
COMBINED
2,961
362.0321.069.536.4


To put that in some context, here are the top 10 players, ranked by pWins over replacement level (pWORL), since 1947 among all players for whom at least 25% of their pWins were earned as a third baseman.

Top 10 Third Basemen since 1947
(ranked by career pWORL)
Player pWins pLosses pWORL pWOPA
1Alex Rodriguez373.8298.7114.180.8
2Eddie Mathews320.7240.999.070.1
3Mike Schmidt338.5257.698.870.6
4Chipper Jones336.2257.698.369.6
5Harmon Killebrew301.1235.073.946.8
6George Brett327.7275.973.843.8
7Miguel Cabrera300.3243.169.943.6
8Paul Molitor316.7273.469.537.6
9Adrian Beltre358.5318.368.435.6
10Brooks Robinson352.3310.665.032.2


Article last updated: August 20, 2019

Wins over positional average and replacement level are calculated using data only for the 2018 season. Positional averages for starting pitching and relief pitching are calculated using single-year data for all starting pitchers and all relief pitchers.

All articles are written so that they pull data directly from the most recent version of the Player won-lost database. Hence, any numbers cited within these articles should automatically incorporate the most recent update to Player won-lost records. In some cases, however, the accompanying text may have been written based on previous versions of Player won-lost records. I apologize if this results in non-sensical text in any cases.

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