The Z Files: Winning Tendencies, Part One

The Z Files: Winning Tendencies, Part One

This article is part of our The Z Files series.

There's a folder named Z Files I store in the cloud. In it, I archive past installments and the associated research. In addition, there's a sub-folder called ON DECK where I store future column topics and outlines, often with links to potential background information. Then there's another one labeled Yeah Right. This is where I keep ideas I'd like to pursue. It's usually just a bullet point since I know I'll never get around to it.

Unless of course, there's a pandemic, delaying the start of the 2020 MLB season.

The top line says, "Download all the NFBC Main Event drafts and crowdsource some research ideas."

It took a couple days, but I copied and pasted 570 Opening Day rosters from last season's Main Event into Excel.

Uh oh, the NFBC has a rule where you don't need to draft a legal lineup with the first 23 picks; you just need to be kosher after 30 picks.

It took three days, but I copied and pasted 570 opening day rosters from last season's Main Event into Excel, with tweaks to list the active lineup in the first 23 cells, then the reserves.

Obviously, I had some ideas for several studies. But you don't survive almost 25 years in this business without a few tricks, so I posted the following on Twitter:

There's a folder named Z Files I store in the cloud. In it, I archive past installments and the associated research. In addition, there's a sub-folder called ON DECK where I store future column topics and outlines, often with links to potential background information. Then there's another one labeled Yeah Right. This is where I keep ideas I'd like to pursue. It's usually just a bullet point since I know I'll never get around to it.

Unless of course, there's a pandemic, delaying the start of the 2020 MLB season.

The top line says, "Download all the NFBC Main Event drafts and crowdsource some research ideas."

It took a couple days, but I copied and pasted 570 Opening Day rosters from last season's Main Event into Excel.

Uh oh, the NFBC has a rule where you don't need to draft a legal lineup with the first 23 picks; you just need to be kosher after 30 picks.

It took three days, but I copied and pasted 570 opening day rosters from last season's Main Event into Excel, with tweaks to list the active lineup in the first 23 cells, then the reserves.

Obviously, I had some ideas for several studies. But you don't survive almost 25 years in this business without a few tricks, so I posted the following on Twitter:

Suffice it to say, the tweeps came through big time, spawning several excellent topics.

Before I spend the next several Z Files columns presenting the findings, it should be noted that most of the information transcends the National Fantasy Baseball Championship. Yes, the competition is its own entity with unique rules and approaches, but many of the principles are applicable to different formats, including your home leagues. In addition, some of the results are a function of the 2019 player pool and may not carry over, especially since the 2020 landscape will offer pandemic-induced nuances. But again, don't let that blind you to some of the winning tendencies.

Drafted Stats versus Final Stats

In the interests of full disclosure, this was the primary impetus for the project. It's something I've investigated several times, but never with this volume of leagues fleshing out variance. Previous research divulged between 65 and 90 percent of final stats are acquired on draft day, with shallow leagues tending towards the low end and deep leagues nestling near the high end.

The methodology is simple. Team totals were derived assuming the Opening Day roster was active all season and compared to actual season-ending totals. It's important to note actual stats and not projections are used, so the effect of over-performers is already baked in. That is, if a team's ERA improved over the course of the campaign, it's not because they drafted Hyun-Jin Ryu, or someone else of his ilk. Ryu's final numbers are counted in the drafted totals.

Here's the drafted team totals and category rankings by place in the standings:

Team

BA

HR

R

RBI

SB

W

SV

K

ERA

WHIP

1

0.2680

318

1001

983

100

72

42

1222

3.867

1.197

2

0.2653

298

954

920

95

71

43

1175

3.801

1.193

3

0.2673

308

972

943

101

71

42

1144

3.969

1.225

4

0.2647

290

926

902

99

74

46

1182

3.870

1.207

5

0.2670

294

923

901

97

66

46

1121

3.849

1.205

6

0.2659

293

940

918

93

65

41

1101

4.042

1.234

7

0.2634

276

883

862

89

66

44

1109

3.968

1.226

8

0.2638

278

903

862

93

66

43

1082

4.006

1.237

9

0.2649

270

889

856

88

66

41

1083

4.091

1.253

10

0.2611

277

886

866

94

65

48

1106

4.010

1.226

11

0.2633

270

878

855

91

61

47

1037

4.086

1.248

12

0.2639

265

864

842

89

64

41

1073

4.180

1.263

13

0.2586

261

834

816

79

58

39

1034

4.247

1.274

14

0.2607

265

873

835

94

57

36

997

4.249

1.281

15

0.2583

252

808

786

82

58

39

969

4.255

1.291

Team

BA

HR

R

RBI

SB

W

SV

K

ERA

WHIP

Points

1

15

15

15

15

14

14

7

15

13

14

137

2

11

13

13

13

11

13

10

13

15

15

127

3

14

14

14

14

15

12

8

12

10

11

124

4

9

10

11

11

13

15

12

14

12

12

119

5

13

12

10

10

12

9

13

11

14

13

117

6

12

11

12

12

8

7

5

8

7

8

90

7

6

7

6

7

4

8

11

10

11

9

79

8

7

9

9

8

7

11

9

6

9

7

82

9

10

5

8

6

3

10

4

7

5

5

63

10

4

8

7

9

10

6

15

9

8

10

86

11

5

6

5

5

6

4

14

4

6

6

61

12

8

3

3

4

5

5

6

5

4

4

47

13

2

2

2

2

1

2

2

3

3

3

22

14

3

4

4

3

9

1

1

2

2

2

31

15

1

1

1

1

2

3

3

1

1

1

15

Keeping in mind this is the average of 38 leagues, despite the eventual league winner crushing the draft, it's unfair to claim the league is won at the draft table. There are instances within the 38 drafts where in-season moves overcame a superior draft to claim the title. In fact, the points total from the drafted standings aren't in perfect descending order. On average, the ninth-place finisher had the seventh-best draft.

It's important to realize the drafted standings aren't perfectly accurate, as every drafted player wasn't active every transaction period. For example, bench players got used during favorable matchups. Players nursing an injury may have been reserved while other injured players may have returned mid-period and not activated. Not to mention, under-performers may have been released.

While this may seem obvious, it's worth reiterating these standings aren't based on projections, but 2019 performance. There's a good chance 570 competitors thought they won their draft, yet only 38 were right.

On average, champions indeed "won the draft". However, each of the 38 league winners didn't exit the draft with the top foundation in their league. In fact, only 15 eventual champs scored the top draft, with eight more finishing with the second-best effort. Here's where each of the 38 winners' drafts ended up.

StandingsNo. Teams
115
28
2T1
35
43
53
5T1
71
91

That's right, a team with the seventh-best draft and another with the ninth overcame their shortcomings to shower in Yoohoo. Four times, the club with the 10th-best draft placed second. The best draft that ended up falling to last place was fifth from the top in their league out of the gate.

Next is a table of stat gains emanating from roster management and the corresponding rankings translated into standings points. Again, it's not perfect, since the stats associated with the caveats above aren't captured. Still, they tell an interesting story.

Team

BA

HR

R

RBI

SB

W

SV

K

ERA

WHIP

1

-0.0014

47

180

152

21

20

24

270

0.070

0.006

2

0.0003

58

203

188

21

21

23

266

-0.041

-0.011

3

-0.0008

55

185

169

18

21

13

282

-0.090

-0.013

4

-0.0019

51

183

166

15

18

13

260

-0.102

-0.017

5

-0.0020

42

173

158

16

22

12

305

-0.112

-0.028

6

-0.0009

51

183

162

14

19

18

268

-0.082

-0.015

7

-0.0017

55

199

180

19

22

13

289

-0.090

-0.016

8

-0.0023

52

182

167

17

21

10

311

-0.120

-0.023

9

-0.0019

50

188

165

20

18

16

295

-0.073

-0.009

10

-0.0020

39

155

148

12

17

10

262

-0.088

-0.019

11

-0.0013

44

166

155

13

20

10

265

-0.092

-0.021

12

-0.0027

42

162

150

14

17

12

248

-0.079

-0.011

13

-0.0008

46

194

168

18

21

8

284

-0.074

-0.013

14

-0.0022

34

136

126

10

17

10

235

-0.047

-0.011

15

-0.0009

40

144

146

10

12

4

199

-0.115

-0.020

Team

BA

HR

R

RBI

SB

W

SV

K

ERA

WHIP

Points

1

9

8

7

5

14

9

15

9

15

15

106

2

15

15

15

15

15

10

14

7

14

13

133

3

14

14

11

13

10

13

11

10

6

9

111

4

6

10

10

10

7

5

10

4

4

6

72

5

5

5

6

7

8

14

8

14

3

1

71

6

11

11

9

8

6

7

13

8

9

8

90

7

8

13

14

14

12

14

9

12

7

7

110

8

2

12

8

11

9

12

4

15

1

2

76

9

7

9

12

9

13

6

12

13

12

14

107

10

4

2

3

3

3

3

5

5

8

5

41

11

10

6

5

6

4

8

6

6

5

3

59

12

1

4

4

4

5

2

7

3

10

12

52

13

13

7

13

12

11

11

2

11

11

10

101

14

3

1

1

1

1

4

3

2

13

11

40

15

12

3

2

2

2

1

1

1

2

4

30

Please note, the negative ratios indicate worsening numbers, even for a category like ERA where lower is better. In a result consistent with previous studies, on average, only the league winners improved their ERA and WHIP, resulting in a Catch-22. Streaming is necessary to compete, but only a few teams are successful. Please remember, these are average standings. There are several instances where lower finishers in individual leagues improved their ratios.

Observe how well second-place finishers did, on average, with in-season management. Anecdotally, they had the most incentive to improve, as they were both trying to catch their individual league leader and move up in the overall. League winners needed to fend off the challenge of teams trying to pass them as well as improve their overall standing.

On the other hand, it's rather disheartening how little the lower finishers were able to grind their way to an upgrade. This is at least partially due to the impact of injuries, as they likely had more of a need to replace drafted players. Yet, the teams at the bottom added the fewest stats in-season, though some improvement could be masked by the caveats discussed previously.

It's always encouraging when data corroborates intuition. From a game theory perspective, many advise focusing less on steals and saves at the draft table, due to the singular nature of the categories. Sure enough, on average, the top two teams embellished steals and saves in-season more than everyone else in the league. This is an observation transcending all rotisserie formats, not just the NFBC Main Event. Focus on power hitters and find saves in FAAB, on the waiver wire or by trading for them. A follow-up piece will detail how each league finisher dealt with closers.

The following illustrates the percentage of counting stats acquired via the draft, with the caveats above still applicable.

Team

HR

R

RBI

SB

W

SV

K

1

87.1%

84.7%

86.6%

82.4%

78.2%

63.1%

81.9%

2

83.8%

82.5%

83.0%

81.6%

77.6%

65.4%

81.5%

3

84.9%

84.0%

84.8%

85.1%

77.0%

76.4%

80.2%

4

85.1%

83.5%

84.4%

86.5%

80.1%

78.4%

82.0%

5

87.5%

84.2%

85.1%

85.5%

75.3%

78.8%

78.6%

6

85.2%

83.7%

85.0%

86.8%

77.1%

70.0%

80.4%

7

83.4%

81.6%

82.7%

82.7%

75.2%

77.6%

79.3%

8

84.3%

83.2%

83.8%

84.2%

76.0%

81.1%

77.7%

9

84.3%

82.5%

83.9%

81.8%

78.2%

71.4%

78.6%

10

87.7%

85.1%

85.4%

88.6%

79.1%

82.5%

80.9%

11

85.9%

84.1%

84.6%

87.4%

75.4%

82.2%

79.7%

12

86.4%

84.2%

84.9%

86.6%

79.2%

78.1%

81.2%

13

84.9%

81.1%

82.9%

81.2%

73.5%

82.7%

78.5%

14

88.6%

86.5%

86.9%

90.8%

76.4%

78.8%

80.9%

15

86.3%

84.9%

84.4%

88.9%

82.4%

91.3%

83.0%

It's good to see the result fall within the range of previous studies. It's also clear the top two teams indeed did worry less about stolen bases or saves, while the middle to lower finishing clubs invested more draft capital in the categories, either on purpose or by chance. It should be noted last season, there weren't many, if any, drafted players swiping an unexpectedly high number of bases.

Let's look at one more set of data in this study. Here are the average number of at-bats and innings pitched added per standings finish.

Team

Final AB

Drafted AB

Added AB

% Drafted AB

1

7528

6344

1183

84.3%

2

7447

6107

1340

82.0%

3

7443

6221

1222

83.6%

4

7309

6032

1278

82.5%

5

7270

6024

1246

82.9%

6

7341

6103

1238

83.1%

7

7195

5774

1421

80.3%

8

7180

5885

1295

82.0%

9

7179

5888

1292

82.0%

10

7068

5903

1165

83.5%

11

7012

5797

1215

82.7%

12

6979

5771

1207

82.7%

13

6976

5615

1361

80.5%

14

6862

5832

1030

85.0%

15

6484

5417

1067

83.6%

Not surprisingly, the best teams featured both the most at-bats on their final ledger as well as those of the drafted variety. Some of this is due to fewer injuries, which keep the drafted total higher, but it also reflects picking players hitting higher in the order and/or on high-scoring teams, along with simply working harder.

Even though the first-place teams added a significant number of counting stats, they did it by supplementing with one of the lower added at-bat totals, with only the bottom two teams adding fewer. To put that another way, their pickups were more efficient. This speaks towards the quality of in-season FAAB additions and sage matchup management, with the disclaimer drafted at-bats isn't perfectly accurate.

It's again disappointing to observe it wasn't simply a matter of the bottom two teams not making productive pickups, but also a lack of effort. That said, the 13th-place team, on average, busted their tail, adding the second most at-bats with in-season management.

Team

Final IP

Drafted IP

Added IP

% Drafted IP

1

1384

1096

288

79.2%

2

1365

1074

291

78.7%

3

1380

1067

313

77.3%

4

1384

1105

279

79.8%

5

1366

1019

346

74.6%

6

1328

1030

298

77.5%

7

1345

1025

320

76.2%

8

1359

1009

350

74.2%

9

1335

1019

317

76.3%

10

1327

1028

299

77.5%

11

1295

973

322

75.2%

12

1305

1011

294

77.5%

13

1305

967

339

74.1%

14

1237

957

279

77.4%

15

1186

940

246

79.3%

Recalling on average, the first-place teams were the only clubs to improve their ERA and WHIP, they did so with relatively fewer innings, indicative again of strong in-season management. Of course, due to their stronger foundation, fewer risks were necessary, but the bottom line is winners managed pitching both effectively and efficiently.

The 13th-place team again showed solid effort, though perhaps some of it was to avoid the cellar, a noble cause indeed. Shame on the last two teams, once again.

A characteristic of all worthwhile endeavors is not only does it answer pertinent questions, it leads to more work. For example, knowing exactly how many at-bats and playing time were contributed by the drafted roster would be useful. However, the fantasy production by individual players isn't archived.

Another helpful follow-up would be to investigate where eventual champions were situated in the standings at various in-season checkpoints. Winning the draft doesn't mean sitting in first place wire-to-wire. Last season, teams with Cody Bellinger were likely occupying top spots, while those featuring Jack Flaherty enjoyed a second half surge. Unfortunately, this requires capturing 38 sets of standings in-season, an endeavor I wasn't prescient enough to prioritize last summer.

In summary, here are the takeaways from the first leg of this research.

1. A strong draft is of utmost importance, though there is plenty of wiggle room for teams to overcome an inferior draft. Not to mention, the top team can't rest on their laurels, as the second-place team usually busts their tail to catch them.

2. Winners invested less draft capital in steals and saves, fortifying the categories in-season.

3. Streaming pitching is a necessary evil as winning teams did it successfully, but on average, only the league champions accomplished the feat in a positive manner.

4. Champions excelled in quantity and quality. Obviously, this isn't a revelation, but it's another solid example of data supporting common sense.

Next up: How closely do teams adhere to the ADP?

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ABOUT THE AUTHOR
Todd Zola
Todd has been writing about fantasy baseball since 1997. He won NL Tout Wars and Mixed LABR in 2016 as well as a multi-time league winner in the National Fantasy Baseball Championship. Todd is now setting his sights even higher: The Rotowire Staff League. Lord Zola, as he's known in the industry, won the 2013 FSWA Fantasy Baseball Article of the Year award and was named the 2017 FSWA Fantasy Baseball Writer of the Year. Todd is a five-time FSWA awards finalist.
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