Why does CC Sabathia allow so many unearned runs?

Fielding in baseball (if not fielders, necessarily) is getting better all the time. Improvements in equipment, field conditions and, especially, defensive positioning, mean today’s players have a leg up on their predecessors. Indeed, today’s computer analysis of batter and pitcher tendencies is of a sophistication unimagined even as recently as a decade ago. And, to top it off, recent years have seen progressively fewer balls in play due to ever increasing numbers of strikeouts. The end result – fewer errors and fewer unearned runs.

Nevertheless, unearned runs haven’t disappeared entirely and some pitchers seem to allow more of them than others. As an example, these are the starting pitchers of 2012 (min. 150 IP) with the three highest ratios of unearned runs allowed to total runs allowed.

Rk Player R ER IP Year Age Tm G GS CG SHO W L W-L% BB SO ERA ERA+ HR
1 C.J. Wilson 93 78 188.0 2012 31 LAA 31 31 0 0 12 9 .571 80 159 3.73 101 17
2 CC Sabathia 85 71 176.0 2012 31 NYY 25 25 2 0 13 6 .684 40 169 3.63 115 21
3 Aaron Harang 82 69 164.0 2012 34 LAD 28 28 0 0 9 9 .500 77 123 3.79 101 14
Provided by Baseball-Reference.com: View Play Index Tool Used
Generated 9/16/2012.

Surprised? I mean those are all pretty decent pitchers. Why would it be those guys? After the jump, I’ll explain why perhaps this shouldn’t be so surprising.

Here’s that same 2012 list expanded to the top 10 in unearned run ratio, those pitchers allowing more than 12% unearned runs.

Rk Player R ER IP Year Age Tm G GS CG SHO W L W-L% BB SO ERA ERA+ HR
1 James Shields 100 86 205.1 2012 30 TBR 30 30 2 2 14 9 .609 53 193 3.77 100 24
2 C.J. Wilson 93 78 188.0 2012 31 LAA 31 31 0 0 12 9 .571 80 159 3.73 101 17
3 Homer Bailey 91 79 181.0 2012 26 CIN 29 29 1 0 11 9 .550 47 142 3.93 107 24
4 Wandy Rodriguez 90 77 189.2 2012 33 TOT 31 30 0 0 11 13 .458 51 126 3.65 108 18
5 Phil Hughes 88 77 175.0 2012 26 NYY 29 29 1 0 15 12 .556 40 148 3.96 106 33
6 CC Sabathia 85 71 176.0 2012 31 NYY 25 25 2 0 13 6 .684 40 169 3.63 115 21
7 Aaron Harang 82 69 164.0 2012 34 LAD 28 28 0 0 9 9 .500 77 123 3.79 101 14
8 Matt Moore 78 68 166.1 2012 23 TBR 28 28 0 0 10 10 .500 73 165 3.68 102 17
9 Justin Verlander 78 68 217.1 2012 29 DET 30 30 6 1 14 8 .636 55 218 2.82 148 18
10 Ross Detwiler 62 53 151.0 2012 26 WSN 30 24 0 0 9 6 .600 43 94 3.16 127 11
Provided by Baseball-Reference.com: View Play Index Tool Used
Generated 9/16/2012.

Pretty decent set of pitchers. None with ERA+ below 100 or ERA above 4. And, with Verlander, Shields and CC, some of the top echelon pitchers in the game.

Maybe you’re saying this is one season. Doesn’t mean anything. Okay, fair enough. How about 50+ years. Here are the starting pitchers since 1961 with seasons (min. 162 IP) with unearned runs allowed above 15% of total runs allowed.

Rk Yrs From To Age
1 Juan Marichal 8 1963 1973 25-35 Ind. Seasons
2 Gaylord Perry 7 1968 1980 29-41 Ind. Seasons
3 Jim Kaat 7 1961 1974 22-35 Ind. Seasons
4 Tommy John 6 1967 1979 24-36 Ind. Seasons
5 Kevin Brown 5 1992 2003 27-38 Ind. Seasons
6 Greg Maddux 5 1990 1999 24-33 Ind. Seasons
7 Phil Niekro 5 1967 1986 28-47 Ind. Seasons
8 Dennis Martinez 4 1981 1992 26-37 Ind. Seasons
9 Nolan Ryan 4 1974 1984 27-37 Ind. Seasons
10 Dock Ellis 4 1971 1977 26-32 Ind. Seasons
11 Jim Rooker 4 1970 1978 27-35 Ind. Seasons
12 Sonny Siebert 4 1966 1972 29-35 Ind. Seasons
13 Mike Cuellar 4 1966 1973 29-36 Ind. Seasons
14 Don Drysdale 4 1962 1968 25-31 Ind. Seasons
15 Dean Chance 4 1962 1967 21-26 Ind. Seasons
16 Bob Gibson 4 1961 1973 25-37 Ind. Seasons
Provided by Baseball-Reference.com: View Play Index Tool Used
Generated 5/16/2012.

Wow! That’s quite a list of pitchers. Obviously tilted to the first part of the post-1961 period owing to the factors cited in the preamble. But, why such outstanding pitchers, as opposed to a more typical assortment of hurlers?

Here is my hypothesis. I welcome your feedback (not that I have to invite you, but go ahead and poke as many holes as you like). So, here goes.

1. This group will be allowing fewer runs (even a lot fewer runs) than “average” and “below average” pitchers in any era. Don’t think there should be much debate on this point.

2. The defense behind this group will play better than the defense behind an average or below average pitcher. Why? Fewer base runners, fewer pitches, fewer balls in play, balls in play not hit as hard, pitchers (probably) working faster – all these factors suggest less pressure on the defense and, ergo, less likelihood of committing errors that lead to unearned runs.

3. Factor #1 will be more pronounced than factor #2. That is, while the defense will play better behind this group, it’s not like they’re going to commit only half as many errors as they would behind a below average pitcher. However, a top rank pitcher may very well allow runs at a rate only half that of a below average pitcher, and perhaps 2/3 the rate of an average pitcher.

4. Taking the 3 points together, the reduced absolute number of unearned runs allowed that is expected for this group (point 1 and 2) will still be a larger proportion of their much lower total runs allowed (point 1 and 3), than would be the case for less skilled pitchers  (i.e. the great majority of major league pitchers).

So, there’s the hypothesis. It would be great if I could get stats on errors committed behind pitchers (point 2), but I don’t know where those figures might be. I expect the rest of the argument should be fairly self-evident. But, if I’m wrong, please let me know.

Finally, to illustrate my point about unearned runs declining at ever increasing rates, here are lists identifying the pitchers with the highest unearned run ratios by period. Notice the decline in unearned run ratio thresholds needed to generate lists of comparable size.

For 1901-1919, here are careers (min. 1000 IP) with unearned runs more than 33% (yes, 33%) of runs allowed.

Rk Player R WHIP ER IP From To Age G GS CG SHO W L W-L% BB SO ERA ERA+ HR
1 Harry Howell 952 1.167 634 2230.0 1901 1910 24-33 289 245 214 18 110 133 .453 561 900 2.56 111 22
2 Jack Taylor 830 1.144 553 2008.0 1901 1907 27-33 237 217 210 17 119 101 .541 432 527 2.48 115 31
3 Addie Joss 730 0.968 488 2327.0 1902 1910 22-30 286 260 234 45 160 97 .623 364 920 1.89 142 19
4 Ed Siever 674 1.235 435 1507.0 1901 1908 26-33 203 174 136 14 83 82 .503 311 470 2.60 117 24
5 Joe Lake 671 1.260 417 1318.0 1908 1913 27-32 199 139 95 8 62 90 .408 332 594 2.85 99 19
6 Johnny Lush 571 1.276 369 1239.1 1904 1910 18-24 182 155 105 16 66 85 .437 413 490 2.68 97 17
7 Smoky Joe Wood 492 1.084 319 1432.1 1908 1919 18-29 224 158 121 28 117 57 .672 419 988 2.00 149 10
8 Phil Douglas 471 1.131 314 1103.0 1912 1919 22-29 189 131 63 13 54 69 .439 266 524 2.56 112 23
9 Andy Coakley 436 1.245 280 1072.1 1902 1911 19-28 150 124 87 11 58 59 .496 314 428 2.35 112 9
10 Jack Pfiester 365 1.089 240 1067.1 1903 1911 25-33 149 128 75 17 71 44 .617 293 503 2.02 128 6
Provided by Baseball-Reference.com: View Play Index Tool Used
Generated 5/16/2012.

For 1920-1949, let’s ratchet down that unearned run threshold to 18% of runs allowed.

Rk Player R WHIP ER IP From To Age G GS CG SHO W L W-L% BB SO ERA ERA+ HR
1 Dutch Leonard 1309 1.251 1059 2933.1 1933 1949 24-40 474 373 192 30 172 169 .504 634 1048 3.25 118 136
2 Jimmy Ring 1172 1.543 948 1944.0 1920 1928 25-33 312 251 126 3 96 128 .429 819 713 4.39 97 96
3 Joe Shaute 1043 1.447 838 1818.1 1922 1934 22-34 360 208 103 5 99 109 .476 534 512 4.15 99 76
4 Elam Vangilder 1010 1.513 812 1702.2 1920 1929 24-33 364 186 89 13 98 102 .490 697 468 4.29 100 93
5 Stan Coveleski 851 1.319 688 1933.2 1920 1928 30-38 274 253 138 21 133 89 .599 510 558 3.20 127 53
6 Hooks Dauss 813 1.425 653 1521.2 1920 1926 30-36 269 169 89 6 97 90 .519 476 462 3.86 104 62
7 Bill Doak 596 1.351 477 1268.2 1920 1929 29-38 228 172 66 14 82 68 .547 384 385 3.38 109 42
8 Joe Heving 559 1.460 450 1038.2 1930 1945 29-44 430 40 17 3 76 48 .613 380 429 3.90 108 64
9 Rube Marquard 541 1.386 437 1000.1 1920 1925 33-38 176 130 47 6 52 60 .464 256 341 3.93 94 43
Provided by Baseball-Reference.com: View Play Index Tool Used
Generated 5/16/2012.

For 1950-1992, we’re down to 15% unearned runs.

Rk Player R WHIP ER IP From To Age G GS CG SHO W L W-L% BB SO ERA ERA+ HR
1 Curt Simmons 1368 1.284 1158 3038.0 1950 1967 21-38 499 424 153 36 181 160 .531 894 1519 3.43 114 240
2 Juan Marichal 1329 1.101 1126 3507.0 1960 1975 22-37 471 457 244 52 243 142 .631 709 2303 2.89 123 320
3 Sonny Siebert 907 1.213 767 2152.0 1964 1975 27-38 399 307 67 21 140 114 .551 692 1512 3.21 110 197
4 Randy Jones 875 1.251 735 1933.0 1973 1982 23-32 305 285 73 19 100 123 .448 503 735 3.42 101 129
5 Dean Chance 832 1.212 697 2147.1 1961 1971 20-30 406 294 83 33 128 115 .527 739 1534 2.92 119 122
6 Hoyt Wilhelm 773 1.125 632 2254.1 1952 1972 29-49 1070 52 20 5 143 122 .540 778 1610 2.52 147 150
7 Al Jackson 725 1.336 614 1389.1 1959 1969 23-33 302 184 54 14 67 99 .404 407 738 3.98 91 115
8 Jim Hearn 709 1.350 597 1410.0 1950 1959 29-38 308 191 56 9 88 73 .547 534 567 3.81 105 137
9 Zane Smith 692 1.317 583 1485.1 1984 1992 23-31 281 216 31 14 75 86 .466 483 828 3.53 107 85
10 Bill Krueger 571 1.492 484 1024.0 1983 1992 25-34 233 143 8 2 57 57 .500 431 516 4.25 92 85
11 Mel Parnell 567 1.422 481 1194.2 1950 1956 28-34 200 167 69 15 81 57 .587 507 510 3.62 121 88
12 George Stone 524 1.361 441 1020.2 1967 1975 20-28 203 145 24 5 60 57 .513 270 590 3.89 96 122
13 Ed Halicki 509 1.262 428 1063.0 1974 1980 23-29 192 157 36 13 55 66 .455 334 707 3.62 102 82
14 Ron Perranoski 442 1.332 364 1174.2 1961 1973 25-37 737 1 0 0 79 74 .516 468 687 2.79 124 50
Provided by Baseball-Reference.com: View Play Index Tool Used
Generated 5/16/2012.

And, for 1993-2011, all the way down to 11% unearned runs allowed.

Rk Player R WHIP ER IP From To Age G GS CG SHO W L W-L% BB SO ERA ERA+ HR
1 Tim Wakefield 1765 1.355 1560 3134.1 1993 2011 26-44 614 450 29 5 192 179 .518 1170 2105 4.48 104 415
2 Mike Hampton 1157 1.442 1024 2268.1 1993 2010 20-37 419 355 21 9 148 115 .563 901 1387 4.06 107 200
3 Kevin Brown 942 1.176 828 2380.2 1993 2005 28-40 359 349 47 14 155 101 .605 597 1920 3.13 135 155
4 Bobby Jones 833 1.351 735 1518.2 1993 2002 23-32 245 241 11 4 89 83 .517 412 887 4.36 94 194
5 Julian Tavarez 808 1.498 696 1404.1 1993 2009 20-36 828 108 2 0 88 82 .518 563 842 4.46 101 113
6 Dustin Hermanson 675 1.360 600 1283.0 1995 2006 22-33 357 180 4 2 73 78 .483 460 874 4.21 105 160
7 Wandy Rodriguez 598 1.346 532 1176.0 2005 2011 26-32 206 197 2 2 73 75 .493 422 1004 4.07 102 134
8 Tom Candiotti 595 1.339 514 1116.2 1993 1999 35-41 206 175 12 1 56 71 .441 359 705 4.14 97 122
9 Felix Hernandez 564 1.224 500 1388.1 2005 2011 19-25 205 205 18 4 85 67 .559 424 1264 3.24 128 116
10 Ramon Martinez 564 1.375 499 1156.0 1993 2001 25-33 186 185 16 10 83 51 .619 527 841 3.88 104 108
11 Brandon Webb 557 1.239 479 1319.2 2003 2009 24-30 199 198 15 8 87 62 .584 435 1065 3.27 142 92
Provided by Baseball-Reference.com: View Play Index Tool Used
Generated 5/16/2012.

32 thoughts on “Why does CC Sabathia allow so many unearned runs?

  1. 1
    Ed says:

    Doug – I wonder what role official scorers play in this. Just an example. Justin Verlander. For his career, 11.5% of his runs at home have been unearned whereas on the road only 4.3% have been unearned. A pretty big difference. Obviously hard to say exactly what causes that but I wonder if official scorers are more likely to give big name pitchers the benefit of the doubt on a close call, particularly when pitching at home. Kind of like how NBA superstars always get the foul calls. Anyway, just something to think about.

    • 3
      Doug says:

      Good thought, Ed.

      Also, my sense, from observation, is that on a debatable play as to whether to call a hit or error, the scorer tends to be far more likely to call it a hit for the home team, but an error if the away team puts that ball in play. Presumably that washes out with players playing as much at home as on road, except that there’s obviously much less variation in scorers for the home games as those on the road, and the degree to which the postulation above is true very likely varies somewhat (or, possibly, more) according to individual scorers.

      • 7
        Ed says:

        Obviously another possibility is that a pitcher might be more likely to have a melt down on the road following an error. That’s at least an alternative explanation for the Verlander data I posted.

    • 6
      John Autin says:

      I took a Q&D look at this question, using pitchers with 100+ IP in 2011.

      — The 20 pitchers with the highest UERAs (avg. 0.61) had an avg. ERA of 3.89 and an avg. RA of 4.50. The 20 with the lowest UERAs (avg. 0.15) had an avg. ERA of 3.41 and an avg. RA of 3.55.

      — The 20 lowest ERAs (avg. 2.78) had an avg. UERA of 0.27. The 20 highest ERAs (avg. 4.80) had an avg. UERA of 0.38.

      Small sample, and admittedly there’s a certain circularity to the method. But it doesn’t discourage the notion that official scorers may be unconsciously influenced by a pitcher’s reputation.

  2. 2

    Doug, if you’re just looking for an answer to the titular question of this post, I’ll submit this: Derek Jeter and Curtis Granderson. By fangraphs’ FRAA, they’re the worst infielder and worst outfielder, respectively, in the AL this season. Then again, neither gets charged with absurd amounts of errors, so their ineptitude goes farther toward explaining Sabathia’s ERA underperforming his FIP again this year (though, oddly, the team’s 3.89 ERA is better than its 3.99 FIP) than his unearned runs.

    As to the question of all those great pitchers giving up high percentages of unearned runs, could official scorers be assuming that these great pitchers are inducing weak contact and assigning errors to fielders on plays they might have called hits behind lesser pitchers? Kind of like superstars drawing more fouls in the NBA? Just a thought.

    • 4
      Ed says:

      Bryan – Looks like you and I were posting similar thoughts at the same time! 🙂

    • 11
      Joseph says:

      Bryan: My understanding of why Jeter is rated as a poor infielder is not because of errors he makes (his fielding % as a SS is 27th all time, so that’s pretty good, no?), but balls he doesn’t get to in time to make a play; i.e., hits. Hits count towards earned runs, no?

      • 28
        mosc says:

        I agree. The consensus is Jeter’s range is bad. He’s got a strong and accurate arm and a solid glove too. He’s not going to give you a lot of unearned runs even if he’s not saving you as many runs as a guy with better range could.

  3. 5
    no statistician but says:

    In other words, you’re saying that while earned runs are variable depending in large part on a pitcher’s skill in a particular year, unearned runs are going to happen within a small range that impacts on all pitchers fairly equally. Ergo, the fewer earned runs, the higher the percentage of unearned runs. Sounds reasonable, but are there any pitchers whose records run contrary to this phenomenon?

    A stray comment: I would have guessed Hoyt Wilhelm to be at the top of any list for unearned runs for an era. Only 6th? I demand a recount.

    • 8
      Doug says:

      Yes, that’s my hypothesis, nsb. But, not stated as succinctly and elegantly as you did. Thanks.

      The list where you found Wilhelm is ranked by total runs allowed. I can generate that list base on pitchers exceeding a % threshold of unearned runs (derived from relationship between R and ER), but I can’t rank according to that percentage because it’s not a variable in the P-I database.

      At a glance, I see Wilhelm, Niekro, Wakefield and Candiotti are all present on these lists, an indication, perhaps, that knuckleballers may experience more errors behind them, with catchers rushing throws to try to catch base-stealers or runners moving up on ball that gets away from the catcher.

  4. 9
    BryanM says:

    I have a couple of thoughts; but first, when i search for pitchers having at least 12.5% more R than ER this year, I also get Kevin Millwood (86/76) , Rick Porcello (96/85) , and clayton Richard (95/84) , none of whom is tearing up the league, so really good pitchers are not particularly dominant on the list this year
    however, your career data for 1993-2011 is more compelling, since single-season blips have had a chance to even themselves out — there you have 3 really good guys, and 8 who are about average, so there is at least some eyeball evidence that good pitchers give up more unearned runs , probably for the reasons cited above and maybe for

    a) both good and bad pitchers are sometimes pulled in mid-inning, after which the runner(s) they left sometines score — if this happens equally to good and bad pitchers ; it obviously affects the ratios of good pitchers more.

    b) more generally , If unearned runs are distributed truly randomly, you would expect UR/IP to be pretty evenly around a mean, with no bias to good or bad pitchers, but simply variation due to luck – let’s say the league URA (unearned run average ) is 0.32 (8% of a 4.00 ERA) this .32 is obviously much more significant to a 3 era pitcher than one with an ERA of 5

    that said , the “scorer ” argument (protecting the ERA of stars) makes sense to me and is probably a factor.

    • 10
      Doug says:

      Thanks Bryan,

      My selection criteria for the 2012 list was ER < 0.88 * R, which is a bit different than R > 1.125 * ER, which, I gather, is the query you used to get the three guys you mentioned.

      I like your point about inherited runners scoring. I know relievers have a stat for inherited runners they prevent from scoring. Seemes that starters should also have a stat – say Bequeathed Runners Scoring that could be used to calculate OERA (Own ERA). Just to see if some starters are more unlucky than others in this regard.

      • 22
        bstar says:

        Doug, Baseball Prospectus does have stats for this. You called it-it’s Bequeathed Runners & Bequeathed Runners Scored.

        • 24
          Doug says:

          Thanks, bstar.

          I’ll take a look. I think that difference between ERA and what I called OERA (if there is such a thing) would be something interesting to look at.

        • 29
          Evan says:

          BB-R tracks this too. It’s under the Starting Pitching section of the More Stats player page. BQR and BQS (Runners left and runners left that scored).

    • 13
      Evan says:

      I wouldn’t expect unearned runs to be distributed randomly. I might expect errors to be evenly distributed (excepting official scoring biases discussed in the other comments), but I would expect superior pitchers to have lower UERA. Superior pitchers should have fewer runners on base when those errors are committed and should be better at run prevention after the error is committed as well.

      • 15
        Doug says:

        Good distinction, Evan, between errors and unearned runs.

        Also, the top pitchers are probably more likely to be given the rope to get out of a tight spot, as opposed to being relieved and having the runners then on base score after his departure. Question is, whether being given that rope was a good idea by the manager.

        • 20
          BryanM says:

          And another thing ; not sure whether this is statistically valid , but I divided my good group into strikeout pitchers, (Unit, Clemens, J Santana, Pedro ( 8.73-11.04 SO/9)), and guile guys (Brown,Webb, Maddux, Halladay, (6.14-7.26) the ERAs were virtually the same (3.15 to 3.17) but the guile guys gave up 28% more unearned runs, over ten thousand IP ; in fact the guile guys were the same URA (0.40) as the replacement -level group I mentioned above.

          Unsurprising conclusion; pitchers who rely on their defense give up more unearned runs than the guys who only need a catcher

        • 23
          bstar says:

          I guess arguing whether giving that rope to an elite pitcher is a good idea or not is a question for another thread, but there certainly is mounting evidence that’s it’s not. It has to do with that rope being given during a pitcher’s third or fourth time thru the order and/or the effectiveness of one-inning-or-less relief pitchers.

      • 17
        BryanM says:

        In fact this intrigued me so much that I ran a little study – Apologies in advance since I have no idea how to insert tables and such into comments . But I took all the pitchers that pitched at least 1000 innings in the 19 year period 1993 -2011,starting at least 60% of their games, the same period used by Doug above and ranked them by ERA+.
        The top 8 guys (Pedro, Big Unit, B Webb, G Maddux, Rocket, J Santana, K Brown, Doc) pitched a total of 20895 innings, which is a lot, and gave up 7371 earned runs, ( ERA=3.16) and 819 unearned runs (URA=0.35) ,
        The ERA+ of the group ranged from 154-135. At the bottom of the same list, I took the worst ERA+ guys to add up to roughly the same innings . Since worse pitchers don’t get the same innings ,it took me 16 guys to get up to 20905 IP; These guys gave up 11661 ER and 936 unearned runs (ERA= 5.02, URA =0.40)

        Conclusions — As Evan says above, the worst pitchers gave up slightly more unearned runs than the best ones , although this effect is small (.40 to .35), probably because even Pedro is not going to get the run back if an outfielder drops a routine fly ball with a man on third and two out, and because unearned runs are mostly luck. Also there is a lot of variation within the groups
        but , as a percentage of total runs, unearned runs are 10% of the total for the best pitchers, and only 7.4% for the Josh Fogg group — just an artifact of the vast difference in earned runs

  5. 12
    Bruce Reznick says:

    I know it’s small sample size, but this season, Jason Berken has appeared twice.

    In 1 IP with Baltimore he gave up 2 ER and 5 UER.
    In 4 IP with the Cubs, he gave up 2 ER and 4 UER.

    In his previous 229 IP, he gave up 136 ER and 9 UER, so he’s doubled his career numbers. His ERA this year is 7.20, which is pretty good considering his WHIP is 3.20. Batters have a cozy .500/ .531/ 1.000
    against him. He is expected to get another start on Thursday.

    • 14
      Doug says:

      Nice find Bruce,

      Assuming lightning doesn’t strike 3 times (or Berken allows no runs in that next start), he will probably fall out of this group of players allowing over 3 times as many runs as earned runs (min. 4 ER).

      Rk Player R ER Year Age Tm Lg G GS CG W L IP H BB SO ERA ERA+ HR
      1 Ollie Johns 22 7 1905 25 CIN NL 4 1 1 1 0 18.0 31 4 8 3.50 96 1
      2 Crazy Schmit 20 5 1901 35 BLA AL 4 3 1 0 2 22.2 25 16 2 1.99 197 0
      3 Jason Berken 13 4 2012 28 TOT ML 2 1 0 0 1 5.0 14 2 2 7.20 65 3
      4 Harry Kimberlin 13 4 1937 28 SLB AL 3 2 1 0 2 15.1 16 9 5 2.35 211 2
      5 Nick Altrock 13 4 1902 25 BOS AL 3 2 1 0 2 18.0 19 7 5 2.00 181 0
      Provided by Baseball-Reference.com: View Play Index Tool Used
      Generated 9/17/2012.

      Crazy numbers indeed for Crazy Schmit, in his final ML season.

  6. 16
    Doug says:

    I’ll throw another log on the fire as to why unearned run rates have fallen – the end of scheduled double-headers. Up until the early 1970s, 25 or 30 (or more) double-headers in a season wasn’t uncommon. That’s a significant number of games being played by fielders probably not as sharp, physically or mentally, as they would be otherwise. Of course, the flip side is lots of double-headers also means lots of off days, though traveling and exhibitions probably meant a lot of those off days really weren’t.

    Would be great to get some fielding stats added into the P-I.

  7. 21
    Jeff Angus says:

    It would take a lot of work to isolate out what I suspect is a major SUB-group of these high-UER ratio hurlers:
    Runs Ruled Unearned Because of a Passed Ball.

    You have as already mentioned here a mess ‘o knuckleballers (add Dutch Leonard), but also a pile ‘o spitballers (from the post-ban era, Phil Douglas, Coveleski, Spitting Bill Doak, from before ban… .well you may know the names of the infamous ones from before the ban, but I don’t).

    Anyway, IF you had the resources to isolate out the UER attributable to PBs, I think you could parse these tables into paired ones, clustering the PB engenderers, and then the residual, bigger (I’m guessing) pile might have clearer factors that tied them together as a cluster.

    Interesting study, thanks.

    • 25
      Doug says:

      “It would take a lot of work …” Absolutely, Jeff. Thanks for your thoughts.

      I was interested in just getting some feedback on my rationalization for what I was seeing in the lists. And, I got that … and more. Bryan M in comment #17 has provided some empirical evidence supporting the basic idea, using a fairly simple method that I’m sure I probably wouldn’t have thought of anytime soon. (BTW, I would have been just as happy if Bryan’s little study provided evidence refuting the basic idea here).

      • 26
        BryanM says:

        Doug; Your idea that good pitchers give up a lot of unearned runs is a very important question , and gets to the heart of baseball’s double -entry bookkeeping system ; every “event” is attributed to the batter or baserunner and simultaneously to the pitcher and/or defense. Unearned runs are attributed in the traditional statistics only to the defense, so if we find a systemic way in which pitchers ” cause ” unearned runs , say by PB @21 above, we could contribute to pitcher evaluation. The evidence I found @17 , which could clearly be overturned by more and better data was evidence for 4 things, IMHO:

        1) there is variation between pitchers in unearned runs, allowed just as for earned runs, in MLB in 2011 , 8.37% of runs were unearned , expressed as a rate stat (R-ER)/R, better pitchers have a slight tendency to have a higher rate.

        2) this fact is (more than ) entirely due to the denominator being lower for better pitchers, they actually give up fewer unearned runs than weaker hurlers, but only a little ;

        3) the 0.05 run advantage for better pitchers (.35 to .40) translates into 1 run per year for a 180 inning season, not worth worrying about ON AVERAGE

        4) however , there is a large variation among individual pitchers, masked by the group averages,
        the difference between the best ( Johan Santana 0.23) and the worst ( Jaime Navarro 0.60) in my study is 55 runs over Navarro’s career , which , if it is attributable to the players, means that
        Santana’s 136-84 ERA+ advantage in the study period significantly understates how much better he was.

        there is definitely more meat on this chicken bone that you have uncovered in baseball’s back yard; I suspect this thread is about to die . Is there any way we can follow up with each other directly if i do a little more work on this?

        • 27
          BryanM says:

          DId a little more work : looking at Good pitchers only 2000-2011, min 110 ERA+ ,
          1000 IP bears out overwhelmingly that strikeout pitchers give up significantly fewer unearned runs than finesse guys — there were 40 pitchers in my study , and the top 8 in SO/9 gave up 0.25 Unearned runs per 9 innings, whereas the lowest strikeout guys (still good pitchers, Glavine , Maddux, Tim Hudson, Andy Pettitte….) gave up 50 percent more, or about the same as the league as a whole. Outs are not all created equal: strikeouts are better. In doing the work I came across the amazing Curt Schilling ; The guy was just off the charts in the whole study period he gave up 12 TWELVE! unearned runs in 1569 innings — he was a little more inclined to give them up earlier in his career in Philly, but even then he was stingy.
          in a two year stretch 2005-2006 he gave up ZERO unearned runs.

          conclusion; unearned runs are at least partly attributable to the pitcher, RA+ would be a better indication of pitcher Value than ERA+

  8. 30
    Andy says:

    Great post, Doug. I wonder if the results would make more sense looking at unearned runs allowed per inning pitched instead of as a ratio of total runs allowed. You could eliminate the effect of lower number of earned runs skewing the ratio that way.

    I’d also like to see the general splits of unearned runs per inning allowed at home vs on the road–that should be easy to get–as I suspect it will strongly back up your claim of home-cooking by the official scorer.

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      Doug says:

      Thanks Andy,

      Yes, this is just something curious I noticed. I’m musing over what to do with it next, based on the feedback you and others have provided.

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      BryanM says:

      Andy , I totally agree – should not be a % of ER stat – If we define URA so that RA/9 =ERA + URA ,then I encountered URAs varying from .07 to .60 in the work i did for the posts above, and a lot of eyeball-quality evidence that at least some of the variation was attributable to pitcher skill. This is in addition to any home/away bias – since most pitchers pitch just a few fewer innings on the road than at home.
      If Unearned runs are partly attributable to the pitcher, then understanding the link can help with pitcher evaluation ; Doug is really onto something here

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