2015 Starting Pitcher Ball-in-Play Retrospective – NL Central
Over the last few weeks in this space, we took a position-by-position look at the ball-in-play (BIP) profiles of 2015 regulars and semi-regulars to gain some insight into their potential performance moving forward. As I wrote the following, snow fell outside my window in blatant disregard for the dawn of baseball season. Regardless, we continue our similar BIP-centric analysis of qualifying 2015 starting pitchers, division by division. We began with NL East starters. Today’s second installment focuses on the NL Central.
First, some ground rules. To come up with an overall player population roughly equal to one starting rotation per team, the minimum number of batted balls allowed with Statcast readings was set at 243. Pitchers are listed with their 2015 division mates; those who were traded during the season will appear in the division in which they compiled the most innings. Pitchers are listed in “tru” ERA order. For those who have not read my previous articles on the topic, “tru” ERA is the ERA pitchers “should” have compiled based on the actual BIP frequency and authority they allowed relative to the league. Here we go:
| Name | AVG MPH | FB/LD MPH | GB MPH | POP % | FLY % | LD % | GB % | ADJ C | K % | BB % | ERA – | FIP – | TRU – |
| Arrieta | 84.89 | 88.56 | 82.79 | 2.1% | 20.7% | 21.0% | 56.2% | 73 | 27.1% | 5.5% | 45 | 60 | 58 |
| Lester | 87.44 | 91.15 | 85.87 | 2.5% | 26.8% | 21.8% | 48.9% | 91 | 25.0% | 5.7% | 86 | 75 | 76 |
| J.Garcia | 87.88 | 92.01 | 85.92 | 1.1% | 21.2% | 16.5% | 61.2% | 81 | 19.0% | 5.9% | 62 | 77 | 79 |
| Hendricks | 88.24 | 91.05 | 87.22 | 2.4% | 24.5% | 21.8% | 51.3% | 91 | 22.6% | 5.8% | 101 | 86 | 80 |
| G.Cole | 89.08 | 91.69 | 86.86 | 1.8% | 27.8% | 22.4% | 48.0% | 99 | 24.3% | 5.3% | 67 | 68 | 81 |
| C.Martinez | 87.63 | 91.79 | 85.99 | 1.7% | 23.7% | 20.1% | 54.5% | 91 | 24.4% | 8.3% | 77 | 82 | 81 |
| F.Liriano | 86.36 | 90.48 | 84.08 | 2.5% | 23.9% | 22.4% | 51.2% | 99 | 26.5% | 9.1% | 87 | 82 | 84 |
| Fiers | 88.51 | 91.60 | 85.65 | 5.3% | 36.8% | 20.3% | 37.6% | 96 | 23.7% | 8.4% | 95 | 103 | 87 |
| Lackey | 88.59 | 90.95 | 88.04 | 3.9% | 29.5% | 20.6% | 46.0% | 96 | 19.5% | 5.9% | 71 | 92 | 91 |
| Hammel | 89.02 | 92.20 | 85.68 | 1.5% | 35.7% | 24.5% | 38.3% | 112 | 24.2% | 5.6% | 96 | 94 | 92 |
| Haren | 88.54 | 91.85 | 86.51 | 5.4% | 43.8% | 20.2% | 30.6% | 94 | 17.2% | 5.0% | 92 | 118 | 92 |
| Wacha | 87.48 | 91.62 | 85.94 | 3.6% | 28.4% | 22.2% | 45.8% | 95 | 20.1% | 7.6% | 87 | 99 | 92 |
| Cueto | 87.27 | 90.32 | 85.58 | 4.3% | 31.3% | 21.8% | 42.5% | 105 | 20.3% | 5.3% | 88 | 91 | 95 |
| DeSclafani | 89.10 | 92.07 | 87.39 | 3.4% | 30.3% | 21.2% | 45.1% | 101 | 19.2% | 7.0% | 104 | 94 | 97 |
| Locke | 87.21 | 90.70 | 85.61 | 1.5% | 23.4% | 24.1% | 51.0% | 96 | 17.5% | 8.2% | 115 | 101 | 100 |
| Lynn | 88.96 | 91.86 | 88.72 | 3.2% | 31.0% | 21.6% | 44.2% | 107 | 22.2% | 9.1% | 78 | 88 | 100 |
| J.Nelson | 86.62 | 90.74 | 84.48 | 3.1% | 26.3% | 20.0% | 50.6% | 102 | 19.7% | 8.6% | 105 | 105 | 101 |
| Burnett | 90.48 | 94.10 | 88.84 | 2.0% | 22.1% | 22.5% | 53.4% | 113 | 20.5% | 7.0% | 82 | 86 | 105 |
| Jungmann | 87.64 | 91.94 | 84.67 | 2.4% | 30.7% | 20.6% | 46.3% | 110 | 21.4% | 9.4% | 97 | 101 | 105 |
| Leake | 89.64 | 92.98 | 87.23 | 2.2% | 24.4% | 21.6% | 51.8% | 111 | 15.3% | 6.3% | 95 | 108 | 114 |
| Morton | 89.99 | 94.09 | 87.72 | 2.0% | 19.5% | 21.2% | 57.3% | 102 | 17.1% | 7.3% | 123 | 107 | 117 |
| Garza | 88.27 | 91.05 | 87.61 | 4.3% | 28.6% | 22.1% | 45.0% | 111 | 15.6% | 8.6% | 144 | 127 | 120 |
| Lohse | 88.20 | 92.44 | 84.26 | 3.0% | 35.2% | 23.3% | 38.6% | 122 | 16.2% | 6.5% | 150 | 131 | 123 |
| W.Peralta | 89.79 | 93.96 | 87.11 | 1.9% | 26.5% | 19.9% | 51.6% | 122 | 12.6% | 7.7% | 121 | 124 | 136 |
| Lorenzen | 88.78 | 91.11 | 86.55 | 1.9% | 29.3% | 28.2% | 40.5% | 128 | 16.1% | 11.1% | 138 | 138 | 139 |
| AVERAGE | 88.22 | 91.69 | 86.25 | 2.8% | 28.1% | 21.7% | 47.5% | 102 | 20.3% | 7.2% | 96 | 98 | 98 |
Most of the column headers are self-explanatory, including average BIP speed (overall and by BIP type), BIP type frequency, K and BB rates, and traditional ERA-, FIP-, and “tru” ERA-. Each pitchers’ Adjusted Contact Score (ADJ C) is also listed. Again, for those of you who have not read my articles on the topic, Unadjusted Contact Score is derived by removing Ks and BBs from opposing hitters’ batting lines, assigning run values to all other events, and comparing them to a league average of 100. Adjusted Contact Score applies league-average production to each pitchers’ individual actual BIP type and velocity mix, and compares it to league average of 100.



