Percentage of Team Payroll Lost to Time on DL (Update 2/20/10)
Update: I have added some more information at the article's end looking at totals for trips less than and more than 30 days.
After using Josh Hermsmeyer's injury database from RotoBlog.com to look at individual players, I will now look at the total Salary lost to teams. Here is the list of 30 teams ordered by percentage lost, highest loss to lowest loss from 2002 to 2009.
| Rank | Team | Total Salary | Salary Lost | Total Days | Number of Trips | Percentage of Total Payroll |
| 1 | LAD | $802,269,413 | $214,186,872 | 6717 | 61 | 27% |
| 2 | WAS | $395,077,500 | $87,927,311 | 7395 | 73 | 22% |
| 3 | TEX | $592,355,667 | $130,295,946 | 8521 | 77 | 22% |
| 4 | NYM | $912,960,802 | $198,784,051 | 7922 | 72 | 22% |
| 5 | ARI | $567,058,065 | $112,040,169 | 6347 | 72 | 20% |
| 6 | ATL | $752,293,394 | $146,002,505 | 6574 | 67 | 19% |
| 7 | OAK | $456,603,575 | $88,576,685 | 5211 | 50 | 19% |
| 8 | SD | $450,328,690 | $84,326,605 | 5964 | 68 | 19% |
| 9 | KCR | $415,440,333 | $77,368,885 | 7206 | 81 | 19% |
| 10 | DET | $650,323,576 | $120,741,210 | 6621 | 53 | 19% |
| 11 | BAL | $559,966,955 | $100,803,387 | 7716 | 68 | 18% |
| 12 | CLE | $481,570,082 | $82,899,809 | 5499 | 61 | 17% |
| 13 | ANA | $781,804,489 | $131,803,169 | 1864 | 24 | 17% |
| 14 | TBA | $279,920,832 | $45,948,441 | 4898 | 62 | 16% |
| 15 | STL | $701,113,759 | $113,433,432 | 6370 | 57 | 16% |
| 16 | CIN | $490,024,584 | $71,801,485 | 6894 | 70 | 15% |
| 17 | MIL | $448,053,000 | $65,448,742 | 4862 | 53 | 15% |
| 18 | COL | $476,445,377 | $67,833,222 | 5768 | 71 | 14% |
| 19 | SF | $673,267,093 | $91,626,965 | 4202 | 53 | 14% |
| 20 | TOR | $555,509,833 | $75,545,147 | 5243 | 57 | 14% |
| 21 | CHC | $780,401,763 | $106,017,190 | 5444 | 58 | 14% |
| 22 | PHI | $705,761,638 | $86,937,200 | 4540 | 62 | 12% |
| 23 | HOU | $655,044,680 | $79,356,784 | 3888 | 44 | 12% |
| 24 | BOS | $976,978,257 | $117,482,570 | 5556 | 71 | 12% |
| 25 | NYY | $1,464,447,266 | $175,817,451 | 6107 | 57 | 12% |
| 26 | MIN | $462,768,538 | $50,398,150 | 4917 | 49 | 11% |
| 27 | PIT | $350,135,323 | $37,785,164 | 4759 | 49 | 11% |
| 28 | FLO | $298,132,793 | $25,716,545 | 6007 | 56 | 9% |
| 29 | SEA | $747,503,317 | $59,606,332 | 5245 | 52 | 8% |
| 30 | CHW | $677,133,665 | $38,169,033 | 2135 | 38 | 6% |
Graph of comparing totals after jump
Few notes:
- The Dodgers being in first is no surprise.
- I figured the Yankees would have been higher. Their total amount lost is less than the Dodgers and the Mets.
- Teams should figure out what the White Sox are doing to prevent injuries. They are amazingly good.
Tom Tango started a thread on this topic over at The Book Blog. Since Tom was voted BtB's Best Researcher and Writer, I figured I would go ahead and answer a few of his questions. He was mainly interested in the amount of salary that was lost after a player was on the DL for greater than 30 days. The amount before 30 would not be covered by insurance, but the amount over 30 days would be covered.
| Description | Dollars | Percentage |
| Total Amount | $18,560,694,259 | 100.0% |
| Salary lost from trips 30 days or less | $434,260,356 | 2.3% |
| Salary lost from trips > 30 days | $2,373,561,406 | 12.8% |
| Total Salary Lost | $2,807,821,761 | 15.1% |
| Salary covered by insurance (> 31days on DL) | $1,460,573,173 | 7.9% |
| Salary not covered by insurance (30 or less days on DL) | $1,347,248,588 | 7.3% |
| Description | Days |
| Days lost from trips 30 days or less | 23687 |
| Days lost from trips > 30 days | 143548 |
| Total Days Lost | 167235 |
| Days covered by insurance (> 31days on DL) | 92218 |
| Days not covered by insurance (30 or less days on DL) | 75017 |
| Description | Trips to DL |
| DL trips 30 days or less | 1202 |
| DL trips > 30 days | 1711 |
| Total DL Trips | 2913 |
Few notes on the above charts:
- The dollar amounts covered by insurance and not covered are about the same ($1.5 billion vs 1.3 billion)
- Many more days on DL occur after 30 days than before (92K vs 75K). Also more trips to DL last more than 30 days than less than 30 days (1711 vs 1202)
4 recs |
16 comments
|
Comments
I asked this in the other thread but are you taking into account insurance at all? I doubt I can find the article but I’m pretty sure a good majority of Hampton’s salary during those years was covered by insurance. I don’t know how that all works (I imagine it’s different for each case) but I imagine it would have a big effect on your numbers.
No idea on the insurance. If anyone has the numbers that would be great.
- .-. ..- … – / – …. . / .—. .-. - .. . … …
by Jeff Zimmerman (TucsonRoyal) on Feb 19, 2010 5:49 PM EST up reply actions
What time period is this data over?
The writer formerly known as Jabberwocky
READ and LEARN about the business of baseball at Purple Row Academy
Eschew Obfuscation!
Guessing it is off of the date show here which is 2002-2009.
Correct. on 2002 to 2009. Will add to article.
- .-. ..- … – / – …. . / .—. .-. - .. . … …
by Jeff Zimmerman (TucsonRoyal) on Feb 19, 2010 7:52 PM EST up reply actions
I would like to see
how strong the correlation is with average (or median?) roster age.
/auto-defenestrates
Dear Internet,
Please fire Brian Sabean.
Signed,
Me
FREE KEVIN FRANDSEN!!! Member of the Frandsen 5% Club.
by Uribe nee Gonzalez on Feb 19, 2010 7:45 PM EST reply actions
Not at all (Angels and Washington not used because of name change)

Average age on y axis and % of Salary on x axis
- .-. ..- … – / – …. . / .—. .-. - .. . … …
by Jeff Zimmerman (TucsonRoyal) on Feb 19, 2010 8:09 PM EST up reply actions
Holy Washington
Not only can they not afford to pay anyone, they got nothing for 22% of what the dished out. Oof.
This is very cool
Awesome work.
How did you calculate the salaries lost? If a player with a $10 million salary was on the DL for 15 days, does he count the same as a $10 million player who missed the whole year? Or would you just count 15/183 of the total salary (in this example)?
I counted 15/183, not the whole year. I used 180 days for all players for ease
- .-. ..- … – / – …. . / .—. .-. - .. . … …
by Jeff Zimmerman (TucsonRoyal) on Feb 19, 2010 11:49 PM EST up reply actions
Thanks
I was just wondering. This is fantastic info.
by Eric Stephen on Feb 20, 2010 12:01 AM EST up reply actions
poor Tampa
I am guessing Baldelli affects these numbers quite a bit
Belief that success is inevitable is as likely to hold you back as a belief that it is impossible.
very good! I enjoyed this...
the percentage of a teams payroll which is lost to time on the DL is really interesting. I emailed this to some people i know that would really like this.
Glad you liked it and I hope they find it useful
- .-. ..- … – / – …. . / .—. .-. - .. . … …
by Jeff Zimmerman (TucsonRoyal) on Feb 23, 2010 10:16 AM EST up reply actions

by 



























