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During the first series of the season, the Tigers rolled up 26 runs while sweeping a three-game series from the Red Sox, after which Boston Globe columnist Nick Cafardo dropped an item in his Sunday notes column about the high-powered offense driven by Miguel Cabrera and newcomer Prince Fielder. "Some baseball people believe the Tigers could score close to 1,000 runs with these two hitting back to back," wrote Cafardo, never elaborating as to who those baseball people might be.

A quick stroll through recent Google News items shows a few other passing mentions of Detroit's potential thousand-run offense, but more as a pie-in-the-sky possibility than as a serious prognostication:

  • The Detroit News' John Niyo, on April 8: "Playing in pitcher-friendly Comerica Park, talk of these Tigers threatening to score 1,000 runs obviously isn't realistic."
  • MLive.com's James Schmehl on April 9: "They put up 26 runs in three games against Boston’s top starters. It’ll be difficult for them to reach the 1,000-run milestone, but scoring 900 certainly appears doable. That being said, expect a reality check this week with Tampa Bay's stingy pitching staff coming to town for a three-game set."
  • Fox Sports' Jon Paul Morosi, who formerly covered the Tigers for the Detroit Free Press:

    In some respects, the Tigers have been here before. Leading up to the 2008 season — Cabrera’s first with the team — some writers (like me) drank in the spring optimism while declaring that Jim Leyland’s mashers would score 1,000 runs and win the World Series.

    They didn’t. In fact, they finished dead last in the AL Central after starting 0-7.

Ah yes, 2008. The Tigers were coming off an 88-win season in which they had cranked out 887 runs (5.48 per game), good for second in the AL thanks to monster seasons from Magglio Ordonez, Curtis Granderson, Carlos Guillen, Placido Polanco, and a still-dangerous-at-38-years-old Gary Sheffield. The prospect of their scoring 1,000 runs appears to have first been raised on a Tigers message board in December 2007, less than two weeks after the trade that brought Cabrera to town, and to have entered mainstream consideration via ESPN's Buster Olney in early January, long before pitchers and catchers reported. The meme gained momentum as the season neared, but the team flopped right out of the gate, as Morosi noted, with their 0-7 start evolving into other such sterling won-loss records as 2-10, 16-26, and 24-36. Those Tigers averaged 5.07 runs per game through the end of April, but they couldn't keep up that pace, and in the end they came closer to allowing 1,000 runs (857) than to scoring them (821).

Scoring 1,000 runs is a monumental achievement for an offense, and an exceedingly rare one. Only seven teams have reached quadruple digits since 1900, but just two since the high-scoring 1930s, and just one since the expansion of the schedule from 154 to 162 games:

Year

Team

Runs

1931

Yankees

1067

1936

Yankees

1065

1930

Yankees

1062

1950

Red Sox

1027

1999

Indians

1009

1930

Cardinals

1004

1932

Yankees

1002

In the high-scoring 1990s and 2000s, a handful of teams gave 1,000 runs a run for the money. The 1996 Mariners, who featured Ken Griffey Jr., Alex Rodriguez, Edgar Martinez, and Jay Buhner, just missed at 993 runs, and might have gotten there had a September 7 rainout against the Indians been made up. That game was rescheduled for September 30, the day after the regular season ended, but since the M's fell three wins shy of the wild card-winning Orioles, it was unnecessary. Rounding out a baker's dozen of the recent teams that came closest: 2000 White Sox (978), 2000 Rockies (968), 2007 Yankees (968), 2003 Red Sox (961), 1996 Rockies (961), 1996 Indians (952), 2000 Indians (950), 1996 Orioles (949), 2004 Red Sox (949), 2000 A's (947), 1999 Rangers (945) and 1998 Rangers (940)—virtually all teams who played in offensive havens at a time when scoring levels were at their highest since the 1930s.

Our depth chart-based PECOTA projections forecast the Tigers to score 784 runs, the league's fourth-highest total behind the Yankees (846), Rangers (836), and Red Sox (834). That's a far cry from 1,000, because no forecasting system with a basis in reality is going to come anywhere near that number. But what would it take for that to happen? As it turns out, we can get a rough idea thanks to our PECOTA percentile projections.

In our depth charts we have 13 Tiger hitters forecast for playing time—an underestimate, given that injuries, trades, and other transactions will occur, but a workable one:

Player

PA

AVG/OBP/SLG

TAv

HR

R

RBI

VORP

Miguel Cabrera

701

.313/.391/.551

.326

34

106

112

57.9

Austin Jackson

696

.269/.323/.383

.253

8

79

71

16.8

Prince Fielder

685

.285/.391/.537

.321

37

102

105

48.3

Alex Avila

584

.259/.345/.431

.276

18

73

68

28.5

Jhonny Peralta

574

.265/.321/.421

.265

16

68

68

24.7

Brennan Boesch

565

.264/.315/.437

.266

19

68

72

13.7

Delmon Young

563

.285/.318/.428

.265

14

67

69

11.9

Ryan Raburn

552

.266/.322/.454

.272

20

68

73

18.8

Ramon Santiago

386

.259/.311/.362

.243

5

42

37

6

Brandon Inge

307

.223/.296/.360

.236

7

32

30

0.7

Andy Dirks

304

.261/.303/.386

.246

6

33

33

3.7

Don Kelly

294

.255/.303/.373

.244

6

32

30

1.4

Gerald Laird

91

.233/.287/.337

.226

1

9

8

-0.1

Total

6302

.270/.334/.436

.273

191

779

776

232.3

The team plate appearance and run totals are plausible full-season values; due to rounding, the runs don't add up to 784, but it's close enough to work with. To add another 216 marginal runs, we might expect that the Tigers shown above would need to get to 448.3 VORP (232.3 + 1000 − 784).

To do that, in theory we'd start by delving into the 90th percentile projections while holding the team's number of outs constant, so as not to give out more playing time than could plausibly exist—"plausibly" being a relative term in this alternate universe where Fielder rides a unicorn to work and Delmon Young has discovered how to control the strike zone. In actuality, when I tried this, thick black smoke started pouring out of my computer, as my first crack left the team with the sum of 925 runs scored (75 off the estimate) but 436.8 VORP (12.5 off the estimate). When I buzzed Colin Wyers down in the engine room, all I could here was a staticky, "She's breakin' up, Captain!"

The problem with what I tried is that the runs and RBI totals from the upper percentiles basically assume one player is going bananas on a team whose offense is otherwise functioning within a normal range; if everybody in the lineup is getting on base, everybody will be scoring and driving in runs at a higher frequency in addition to increasing their number of opportunities. Colin suggested that a safer solution would be to run the team offensive totals (hits, walks, total bases, steals, etc.) through a run estimator such as BaseRuns. When I did that (using the second formula here), I got a whopping 1,059 runs, so I dialed back to 80th and 70th percentile projections among the players with less playing time until I more closely approximated 1,000 runs. Voilà:

Player

Percentile

PA

HR

AVG/OBP/SLG

TAv

VORP

Cabrera

90

740

39

.343/.424/.600

.353

73.1

Fielder

90

724

42

.313/.424/.587

.348

68.0

Jackson

90

736

9

.301/.359/.426

.281

35.6

Avila

90

620

21

.295/.387/.487

.310

54.7

Peralta

90

604

19

.295/.354/.466

.292

39.0

Boesch

80

587

21

.299/.354/.492

.299

25.0

Young

80

587

16

.317/.352/.474

.293

23.4

Raburn

80

581

22

.302/.362/.512

.306

30.5

Santiago

80

407

6

.303/.358/.420

.280

15.2

Inge

70

320

8

.257/.336/.412

.268

5.3

Dirks

70

319

7

.308/.354/.452

.287

7.5

Kelly

70

306

6

.301/.353/.438

.285

7.0

Laird

70

92

2

.280/.335/.402

.264

1.7

Totals

 

6622

217

.297/.366/.477

.304

 

According to BaseRuns, that team should score 1,001 runs. Using the "Stolen Base" or "Technical" versions of Runs Created yields 1,016 or 1,024 runs, respectively. Marvel at the levels of individual accomplishment this would take: Cabrera would essentially have to match his career-best season according to True Average (he's been at .351 and .354 over the past two seasons) with about eight percent more playing time than he's ever had in a season. Fielder would have to exceed his best True Average by 14 points, though his durability makes his playing time estimate more plausible. Jackson would have to exceed his 2010 rookie season True Average by 10 points in about 10 percent more plate appearances. Avila would have to get about 12 percent more PA, which would mean DHing on days he's not catching. Peralta would have to put up his best TAv since 2005, Boesch would need a career high by 14 points, Young would need a career high by just three points (his 2010 was pretty good), and Raburn would need to extend his 2009 performance across twice as many plate appearances.

And so on. Basically everybody would need to come up with a career year all at once, leading to a squad that hits a collective .297/.366/.477 with 217 homers. The last team to hit at least .297 was the 1938 Red Sox (.299). The last team to post at least a .366 OBP was the 1999 Indians (.373). The last team to slug at least .477 was the 2009 Yankees (.478) who play in a bandbox compared to cavernous Comerica Park.

This is all virtually implausible, of course. The team would have a slightly better shot at 1,000 runs if Victor Martinez were good for 600 plate appearances at his 90th percentile .313 TAv, taking away DH playing time from Young, Cabrera, Raburn, and Fielder, and catching time from Laird and Avila. Even then, the gains are small once you start taking away plate appearances from the other big guns.

The Tigers are the class of the AL Central; our odds give them better than a 70 percent chance of reaching the postseason, but they aren't going to get into 1,000 runs. Nor is any other team in 2012, particularly one playing in a pitcher’s park at a time when offensive levels are falling after cresting; they've fallen every year since 2006, when they were at 4.86 per team per game. In the absence of a lineup that is nearly without weakness from top to bottom playing in an extremely favorable environment for scoring, it's time to retire this meme.

Thank you for reading

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summoner
4/16
1950 Red Sox: .302 BA, .385 OBP as components for their 1027 runs scored. Slugging was only .464, but that's with Teddy Ballgame only playing 89 games. Another interesting stat for the team in 719 walks and and 580 strikeouts.
eas9898
4/16
Great article! Thanks.
Swingingbunts
4/16
The 1930 Yankees appear on your list twice
jjaffe
4/16
Second one (1002 runs) should be the 1932 Yankees
bornyank1
4/16
Fixed.
DetroitDale
4/16
Agreed, this team is not going to score 1000 runs, so anyone writing that they might needs to cease and desist immediately. The last time the team was predicted to hit the 1000 mark, they tanked horrible, and I do not want to see a repeat of that jinx.
redsox2011
4/16
So maybe all predictions should cease to avoid jinxing any team.I don't think so.
cdmyers
4/16
Is there a possible follow-up column that would look at the most that any team has ever overachived? I.e., whether any team has come close to most of their players reach their 90-percentile forecasts?
jjaffe
4/16
That's a question better directed at Colin Wyers - but I'll leave it to him as whether such a thing is feasible. Probably more realistic to see which teams overachieved their PECOTA preseason forecasts by the most.
DetroitDale
4/16
I apologize.. I forgot to make some indication that I was being facitious

Jeez... sweep a team in their first series and they lose all sense of humor. (still being facetious)
Michael
4/16
Did any reputable person go on the record in 2008 or now and write that it was more likely than not that the Tigers will score at least 1,000 runs during the regular season? I read stuff linked in this article like anonymous message board poster said it, Buster Olney said they could "push" 1,000, Mario Impenda said they "could" score 1,000. I don't know of any actual predictions in 2008 or now where someone thought it likely.

The meme seems to be articles ridiculing the 1,000 runs prediction when no one actually clearly makes that prediction to my knowledge.
Tarakas
4/16
While I doubt they reach 1000 runs, my guess is the odds are better than this system would indicate, as player achievement will happen within the team context and not in isolation.

I'd assume in reality that as more players out perform their projections, even more players would out perform their projections. As offense on a team goes up, I'd assume you'd knock out pitchers faster as they throw more pitches, burn through opposing relievers more, and end up in the soft part of the bullpen more often, as you have bigger leads or wear out bullpens earlier in series.

In short, if the first 4 players on this list each hit their 90 percentile PECOTA, I'm betting it increases the odds of rest over achieving.
Oleoay
4/17
One thing to note... if everybody is getting on base, it also increases their number of plate appearances so the Tigers might not have to perform as well as that last chart to reach that 1000 run barrier.
drawbb
8/23
How about just retiring the word "meme" instead?