The Z Files: Winning Tendencies, Part Five

The Z Files: Winning Tendencies, Part Five

This article is part of our The Z Files series.

Roster building is a skill encompassing many elements. There's knowing the player pool inside and out. There's blending your own rankings with a market awareness. There's having an understanding for what it takes to compete in the specific format. There's keeping a keen eye on what your competitors are doing to shift the supply and demand balance in your favor.

Most of these entail working your butt off. Some are facilitated with help from a fantasy analyst. This is hard to explain, but I'm convinced there's a sixth sense involved, going beyond blood, sweat and tears. Some simply possess an innate knack for building a competitive lineup. Yes, it's rooted in tangibles, but there's an ethereal aspect. Quite frankly, not everyone exhibits this abstract ability (does the "this guy" thumb point).

Roster construction has been a common theme in this space as we all practice excruciating patience, hoping MLB and the MLBPA can come to an agreement and salvage the 2020 campaign. Between the dissection of the 2019 NFBC Main Event and studying the series of retro drafts we've been running for the past month, I say with more resolve than ever, projections and rankings/bid prices are secondary to what is done with them.

Saying and doing are two separate entities, though. As I suggested, I'm not afraid to admit optimal roster building is a personal weakness. That said, I feel the fairest characterization of my game play is that it's inconsistent, as opposed to completely lacking. There are times

Roster building is a skill encompassing many elements. There's knowing the player pool inside and out. There's blending your own rankings with a market awareness. There's having an understanding for what it takes to compete in the specific format. There's keeping a keen eye on what your competitors are doing to shift the supply and demand balance in your favor.

Most of these entail working your butt off. Some are facilitated with help from a fantasy analyst. This is hard to explain, but I'm convinced there's a sixth sense involved, going beyond blood, sweat and tears. Some simply possess an innate knack for building a competitive lineup. Yes, it's rooted in tangibles, but there's an ethereal aspect. Quite frankly, not everyone exhibits this abstract ability (does the "this guy" thumb point).

Roster construction has been a common theme in this space as we all practice excruciating patience, hoping MLB and the MLBPA can come to an agreement and salvage the 2020 campaign. Between the dissection of the 2019 NFBC Main Event and studying the series of retro drafts we've been running for the past month, I say with more resolve than ever, projections and rankings/bid prices are secondary to what is done with them.

Saying and doing are two separate entities, though. As I suggested, I'm not afraid to admit optimal roster building is a personal weakness. That said, I feel the fairest characterization of my game play is that it's inconsistent, as opposed to completely lacking. There are times I'm too confident in/reliant upon my projections, and eschew a lower-ranked player and his inferior "value in a vacuum."

Knowing when to favor team construction over pure stats is part sixth sense, part next-level analysis. The latter will be the focus in this installment of the Winning Tendencies series.

A couple things caught my attention in Winning Tendencies, Part Four. Specifically, teams did much better drafting Gerrit Cole over Justin Verlander, and despite finishing as the top two end-of-season hitters, teams with Ronald Acuna and Christian Yelich fared much worse than expected.

To study these scenarios and ones like them, I calculated the average team totals for the 38 Main Event clubs drafting each player. Each was then considered the 571st team in the 2019 Main Event and ranked accordingly. Before looking at specifics, here's a table displaying where a number of players finished. The pool consists of the top-15 picks according to ADP, the 15 most valuable based on adjusted earnings as presented in Winning Tendencies, Part Two, and the top 15 based on where their teams finished in the overall, as described in Winning Tendencies, Part Four. Accounting for duplicates, 36 players comprise the sample.

 

BA

HR

RUNS

RBI

SB

W

SV

K

ERA

WHIP

PTS

RANK

Gerrit Cole

221

284

294

279

295

445

333

494

476

470

3591

126

Rafael Devers

436

346

413

459

412

293

266

299

293

313

3530

140

Ketel Marte

387

339

314

369

386

334

325

345

344

381

3524

142

Luke Weaver

387

397

387

374

344

230

299

321

360

369

3468

153

Justin Verlander

221

264

281

280

253

484

284

452

447

485

3451

156

Charlie Morton

352

317

355

317

308

370

303

311

423

373

3429

160

Michael Conforto

324

370

374

340

321

370

255

369

336

371

3430

160

Domingo German

252

339

303

313

344

461

284

330

378

417

3421

161

Pete Alonso

285

465

397

378

295

334

255

314

323

352

3398

165

Shane Bieber

252

304

285

257

321

370

284

468

420

433

3394

165

Matt Olson

324

367

357

320

262

370

277

321

391

381

3370

169

Josh Bell

387

435

454

427

344

256

246

295

238

269

3351

172

Willson Contreras

324

376

336

341

334

313

325

341

313

328

3331

176

Cody Bellinger

387

367

344

351

386

313

284

311

259

301

3303

183

Jonathan Villar

352

367

349

378

468

256

229

272

287

295

3253

194

Trey Mancini

387

376

399

369

295

276

277

300

280

289

3248

194

Hyun-Jin Ryu

190

276

263

281

321

370

325

289

476

433

3224

205

Jorge Soler

252

449

441

354

321

276

266

263

304

285

3211

211

Mike Clevinger

221

296

284

271

266

395

303

345

415

406

3202

212

Elvis Andrus

285

250

291

280

472

355

246

335

346

313

3173

217

Marcus Semien

285

360

381

391

266

276

387

272

242

257

3117

227

Ronald Acuna

285

339

325

325

468

276

303

261

254

267

3103

230

Jacob deGrom

252

259

296

320

354

215

277

332

399

390

3094

233

Trea Turner

252

310

298

320

354

355

277

284

282

289

3021

252

Nolan Arenado

411

304

322

306

275

256

240

242

283

254

2893

281

Alex Bregman

352

276

294

271

183

256

299

241

340

324

2836

294

Christian Yelich

387

317

267

246

447

293

179

242

223

222

2823

297

DJ LeMahieu

436

310

325

336

215

205

266

199

242

257

2791

303

Mike Trout

324

400

366

354

183

215

277

186

193

211

2709

318

J.D. Martinez

285

334

355

287

183

276

284

284

208

217

2713

318

Aaron Judge

252

259

190

222

232

355

219

288

332

340

2689

328

Anthony Rendon

252

259

190

222

232

355

219

288

332

340

2689

328

Jose Ramirez

190

222

252

178

321

313

325

249

302

320

2672

334

Mookie Betts

324

265

255

340

308

205

266

213

197

254

2627

348

Chris Sale

221

229

249

178

262

205

354

314

234

337

2583

356

Max Scherzer

221

211

210

210

180

256

246

314

359

343

2550

363

Please note, these are not the top-36 players, simply ones that offer an interesting perspective. Let's focus on some intriguing pairs, hoping to glean something by way of optimal lineup construct.

Here are the average category totals for the Cole and Verlander teams.

 

BA

HR

R

RBI

SB

W

SV

K

ERA

WHIP

Justin Verlander

0.261

324.1

1082.0

1035.5

103.0

97.0

56.1

1473.7

3.86

1.19

Gerrit Cole

0.261

328.6

1080.8

1040.9

108.4

93.2

61.2

1504.5

3.81

1.19

Verlander's ADP was 16, two spots before Cole, while Verlander earned $43 compared to $40 for his 2019 teammate. The curious part is Cole was on seven league winners while Verlander was drafted by just three champions. Let's look at the rankings for the hitting and pitching category totals separately.

 

BA

HR

RUNS

RBI

SB

HIT

Gerrit Cole

221

284

294

279

295

1373

Justin Verlander

221

264

281

280

253

1299

The extra 4.5 homers from Cole's teams earned 20 more categorical points in the overall, but the big difference is 5.4 steals resulting in a 42-point edge. Perhaps getting their first-round pick two spots earlier on average accounts for the difference, but that is a matter of optimal KDS, not roster building.

 

W

SV

K

ERA

WHIP

PTS

TOTAL

Gerrit Cole

445

333

494

476

470

3591

2218

Justin Verlander

484

284

452

447

485

3451

2152

The pitching points align with their respective contributions, except for saves. Despite Verlander's better numbers resulting in less success, the bottom-line difference appears to be happenstance. That is, there's nothing about Cole's line, such as the extra whiffs, that manifested directly in his teams garnering more steals and saves.

Let's shift the focus to Acuna and Yelich, not so much to compare, but rather to understand why teams rostering the two top fantasy hitters from last season finished with an average ranking of 230 and 297, respectively, in the Main Event. Here are their aggregate category totals:

 

BA

HR

R

RBI

SB

W

SV

K

ERA

WHIP

Ronald Acuna

0.262

336.4

1097.7

1053.4

126.4

84.6

58.5

1363.3

4.15

1.26

Christian Yelich

0.265

333.1

1065.9

1030.3

124.8

85.3

46.8

1349.9

4.18

1.27

By means of perspective, Acuna's ADP was 8, a spot after Yelich, while the Braves' outfielder earned $46 to $44 for his Brewers counterpart. With such close vitals, it's no surprise their associated average teams are so close.

Here's the category points for each player, beginning with pitching.

 

W

SV

K

ERA

WHIP

TOTAL

Ronald Acuna

276

303

261

254

267

1361

Christian Yelich

293

179

242

223

222

1159

Most of this is just dumb luck, especially the delta in saves. Still, it's telling that on the average, teams with these two hitting studs couldn't assemble even an average pitching staff (285 points is the midpoint of each category). What does the hitting data tell us?

 

BA

HR

RUNS

RBI

SB

TOTAL

Ronald Acuna

285

339

325

325

468

1742

Christian Yelich

387

317

267

246

447

1664

By means of reminder, here are their 2019 roto stats:

 

BA

HR

RUNS

RBI

SB

Ronald Acuna

0.280

41

127

101

37

Christian Yelich

0.329

44

100

97

30

Acuna's category totals are higher, but keep in mind Yelich only played 130 games. The more relevant observation pertains to steals. It makes sense both aggregate teams fared well in the category considering the excellent contribution from each individual. That said, toggle up to the table displaying the category totals for the 36 chosen players and eyeball the stolen base column.

Rafael Devers, in the two-hole, is the only other player in the top 14 whose average team garnered more than 400 points in steals, and it certainly wasn't a result of his modest eight swipes. Meanwhile, both Acuna's and Yelich's aggregate teams finished in the mid-400s. In a vacuum, this is beneficial, but the big-picture results suggest those clubs amassed too many pilfers.

This is an inefficient use of resources. Somewhere along the line, perhaps on multiple occasions, fantasy managers selecting Acuna and Yelich should have bypassed another stolen base contributor and fortified pitching or the other hitting counting stats, a great example of optimal roster building.

This line of thinking can be extended to all early picks expected to be a strong steals contributor. Some may frame this as an anti-Trea Turner argument, contending his steals aren't needed to win. As someone still hoping to defend my 2019 TGFBI championship featuring Trea Turner as my first-round pick, that's a myopic approach. It takes extra focus on power, and an assist from Lady Luck (hello, Marcus Semien and Yuli Gurriel), but a Turner-led team can get it done.

Another possible conclusion is Mike Trout could be a better pick than Acuna or Yelich. Clouding this argument is the health risks, but if you rank all three equally, using the steals narrative as a tiebreaker makes sense. That said, if you rank Acuna or Yelich appreciably higher than Trout, roster construction isn't a palatable reason to opt for Trout. The entire rest of the draft is there to amass ample counting stats, especially with an inherent leg up in steals.

Followers of this series know the randomness of saves, and focusing less on the singular nature of steals have been common themes. The approach utilized herein serves to hammer home these aspects of roster building.

It also opens the door for other studies. A couple I have in mind include examining the aggregate category totals for teams that drafted multiple aces early and those that eschewed stud arms for at least three rounds. I'd like to open the floor for suggestions, with the caveat I selfishly hope to backburner the requests to the winter, in lieu of transitioning to 2020 analysis. In addition, I've captured all 570 Main Event final rosters with the intent of gauging the in-season management strategies of the more successful teams.

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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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