May 19, 2013

Updated Stats Through 53 Games

Kevin Bradley

Patrick Andrews continues his stellar year with a perfect inning on Tuesday against USC-Upstate. Andrews lowered his ERA to 2.25, WHIP to 0.93 and opponents’ batting average to .196. Left handed batters are 4 for 31 (.129) against Andrews with 7 strikeouts and 0 walks.

Matt Campbell isn’t too far behind. Campbell gave up 2 hits in an inning on Tuesday, but opponents are batting only .195 against him, Campbell’s WHIP is 1.07 and he has 30 strikeouts in 23 1/3 innings to date.

Campbell has gotten 43 right handed batters out with 21 of those being by strikeout and Campbell strikes out over 38% of the right handed batters he faces.

Jonathan Meyer had 3 2/3 scoreless innings on Tuesday and Meyer has struck out 28 right handed batters while walking only 3. That works out to a 9.3 to 1 strikeout to walk ratio.

The starting trio of Daniel Gossett, Matthew Crownover and Zack Erwin – a sophomore and two freshmen – have WHIPs of 1.15, 1.14 and 1.10 respectively.

Speaking of freshmen, the Clemson freshmen have accounted for 41% of the innings pitched (198) and 42% of Clemson’s wins (16).



On the offensive side, freshmen have accounted for 30% of the Tigers’ plate appearances, including two starters that have played every game (Dugger and Krieger), the current lead-off batter (Gibson) and Tuesday’s hero (Kevin Bradley).

The aforementioned Bradley began Tuesday batting .132 and was 0 for 14 against left handed pitchers on the season. While Bradley’s game-winning home run didn’t come against the USC-Upstate left handed starter, Bradley did get his first hit against a LHP earlier in the game.

Steve Wilkerson and Shane Kennedy don’t care which arm you are throwing with. Wilkerson is batting .309 vs. RHPs and .310 vs. LHPs, while Kennedy is actually hitting LHPs better than RHPs – .329 to .323.



Maleeke Gibson has added something to the leadoff spot and some of these numbers bear that out. Gibson has 1 less run scored and 2 more RBI than Tyler Slaton in 82 less plate appearnces and with 37 less runners on base during those plate appearnces. While not all of either players plate appearances have come at the leadoff spot a significant number of them have and that portends well for the future.

On the flip side, Gibson walks rarely (4.55% of the time) which should be a staple for someone at the top of the order. Both Slaton (11.18%) and Brittle (10.91%) take base on balls far more often than Gibson.



One thing Gibson has done extremely well for the leadoff batter is knock in runs. In fact, of anyone on the team with significant playing time, Gibson has the fourth highest percentage of runners on base knocked in.

Updated RBI% and Runs Produced

Garrett Boulware

After briefly falling to second place in RBI% after the Furman games last week, Garrett Boulware is back with a vengence at the top of the list.

Boulware leads the team in RBI% despite the fact that he is fourth on the team in number of runners on base while at bat.


Boulware also put some distance between himself and McGibbon in Runs Produced over the weekend while Maleeke Gibson had a huge series and seemed to add something to the leadoff spot that has been missing for a good portion of the season.

Maleeke GibsonWhether that is related to Gibson’s development as he nears the end of his freshman season or more to the caliber of competition remains to be seen.

Tyler Slaton has cooled a little bit since peaking in mid-April after replacing Thomas Brittle at the leadoff spot.

Gibson still has work to do to be a long-term solution at the top of the order – batting .240 with only 4 walks in 83 plate appearances overall and only 1 walk in 40 plate appearances against left handers.

Updated Stats Through 52 Games – Tyler Krieger, Before and After

Tyler Krieger

Tyler Krieger
Through the first 27 games of his college baseball career Tyler Krieger was batting .220 (20 for 91) with 9 RBI and the Clemson Tigers were scuffling along at 16-11 and headed nowhere fast.

Not only that, but the Tigers had lost the first two games of a 3 game series in Chapel Hill and faced the #1 ranked Tar Heels on Monday, April 1st. And oh yeah, Freshman Matthew Crownover was starting for the Tigers.

The Tigers went on to win that game in 11 innings, Crownover pitched well and Krieger went 2 for 5 with an RBI.

It was the beggining of a good thing for Clemson and Krieger. Clemson has gone 21-4 and Kreiger has hit .348 (32 for 92) with 16 RBI in that span.

While Krieger still has some work to do against left handed pitchers (.247, only 5 walks in 89 plate appearances), he’s batting .314 against righties with a .415 OBP.

Krieger’s bat is not the only hot one during this streak, but Krieger’s penchant for coming through in the clutch, coupled with the fact that he has come to bat with the second most men on base of any Tiger (172) means his bat has been more important than your average 7 hole hitter and a big reason for the Tigers recent success.


Patrick AndrewsPatrick Andrews continues to baffle batters of all shapes, sizes and batting stances. A 1-2-3 inning on Saturday lowered Andrews’ ERA to 2.33 and WHIP to 0.96.

Left handed batters are 4 for 31 against Andrews with 7 strikeouts and 0 walks. Perhaps at some point Jack Leggett will defy convential wisdom and bring Andrews in to face a lefty.

Speaking of which, sure was nice to see Joseph Moorefield have a successful complete inning on Sunday. It’s been a crazy statistical year for Moorefield and despite only throwing 4.1 innings this season I get the feeling Moorefield is going to be needed in the postseason.

Updated Runs Produced and RBI % Through 49 Games

John McGibbon

For the first time someone other than Garrett Boulware leads in RBI% – John McGibbon.  McGibbon has also come to bat with more runners on base than any other Tiger.

 
Garrett Boulware still leads in Runs Produced, but the gap is closing quickly.
 

 

Batting Stats Through 49

Shane Kennedy

Thanks for hanging with me while I work out these formatting issues. In the long run I think it will offer a better experience for everyone.

Shane Kennedy takes the lead in average, with Steve Wilkerson closing in on slugging percentage and John McGibbon in RBI.

It will be interesting to see how Garrett Boulware handles this weekends series and more interesting to see if he’s given any rest.

Just a hunch, but it seems to me that Boulware knows no other way than play all out every day and the only way to stop that from happening resides with Coach Leggett.

On the other hand, with Clemson fighting (supposedly) for a regional host spot, every game is important and who else would you rather have in the lineup and behind the plate than #30?

Pitching Stats Through 49 Games

Firth

Pitching Stats Through 49 Games

Table 1 – Against All Batters

vs. All OBP AVG WHIP SLG BF IP SO BB SO% BB% ERA
Andrews .267 .208 1.00 .313 105 26.000 13 6 12.38 5.71 2.42
Bates .452 .258 1.56 .290 44 9.000 4 6 9.09 13.64 4.00
Campana .448 .238 1.89 .333 29 6.333 3 7 10.34 24.14 2.84
Campbell .271 .187 1.06 .333 85 21.667 27 9 31.76 10.59 4.15
Crownover .307 .252 1.17 .366 220 54.667 31 13 14.09 5.91 2.14
Erwin .293 .209 1.02 .294 180 45.000 25 14 13.89 7.78 2.60
Firth .324 .256 1.26 .345 233 53.333 36 15 15.45 6.44 2.53
Gossett .298 .224 1.21 .336 313 72.667 68 26 21.73 8.31 2.48
Kent .328 .310 1.40 .414 63 14.333 10 2 15.87 3.17 3.77
Koerner .364 .214 1.56 .357 125 27.000 27 21 21.60 16.80 2.67
Meyer .353 .329 1.49 .456 157 35.667 27 4 17.20 2.55 3.79
Moorefield .474 .438 2.70 .750 19 3.333 2 2 10.53 10.53 2.70
Schmidt .422 .353 1.99 .463 248 49.667 24 22 9.68 8.87 5.26
Schnell .322 .250 1.25 .279 116 26.333 19 7 16.38 6.03 2.05
Totals .333 .260 1.34 .366 1,937 445.000 316 154 16.31 7.95 2.93

 
Table 2 – Against Right Handed Batters

vs. RH OBP AVG WHIP SLG BF IP SO BB SO% BB% % Right
Andrews .324 .246 1.32 .369 74 16.667 6 6 8.11 8.11 70.48
Bates .417 .250 1.38 .286 36 8.000 3 4 8.33 11.11 81.82
Campana .391 .176 1.50 .294 23 5.333 3 5 13.04 21.74 79.31
Campbell .229 .163 0.87 .349 48 12.667 18 4 37.50 8.33 56.47
Crownover .275 .239 1.03 .359 151 38.667 20 6 13.25 3.97 68.64
Erwin .292 .227 0.99 .352 100 25.333 11 5 11.00 5.00 55.56
Firth .323 .262 1.19 .344 138 32.000 19 6 13.77 4.35 59.23
Gossett .320 .236 1.35 .366 182 40.000 43 16 23.63 8.79 58.15
Kent .241 .222 0.91 .296 31 7.667 6 1 19.35 3.23 49.21
Koerner .366 .224 1.47 .373 86 19.000 14 13 16.28 15.12 68.80
Meyer .306 .280 1.20 .355 111 26.667 24 2 21.62 2.50 70.70
Moorefield 1.000 1.000 #DIV/0! 1.667 3 .000 0 0 0.00 #DIV/0! 15.79
Schmidt .431 .371 1.92 .427 141 28.667 15 9 10.64 6.38 56.85
Schnell .310 .210 1.06 .210 72 17.000 12 5 16.67 6.94 62.07
Totals .327 .256 1.27 .357 1196 277.667 194 82 16.22 6.86 61.74

 
Table 3 – Against Left Handed Batters

 

vs. LH OBP AVG WHIP SLG BF IP SO BB SO% BB% % Left
Andrews .129 .129 0.43 .194 31 9.333 7 0 22.58 0.00 29.52
Bates .667 .333 3.00 .333 8 1.000 1 2 12.50 66.67 18.18
Campana .667 .500 4.00 .500 6 1.000 0 2 0.00 66.67 20.69
Campbell .324 .219 1.33 .313 37 9.000 9 5 24.32 18.52 43.53
Crownover .377 .283 1.50 .383 69 16.000 11 7 15.94 14.58 31.36
Erwin .295 .185 1.07 .215 80 19.667 14 9 17.50 15.25 44.44
Firth .326 .247 1.36 .346 95 21.333 17 9 17.89 14.06 40.77
Gossett .266 .207 1.04 .293 131 32.667 25 10 19.08 10.20 41.85
Kent .406 .387 1.95 .516 32 6.667 4 1 12.50 5.00 50.79
Koerner .359 .194 1.75 .323 39 8.000 13 8 33.33 33.33 31.20
Meyer .467 .452 2.33 .714 46 9.000 3 2 6.52 4.35 29.30
Moorefield .375 .308 1.80 .538 16 3.333 2 2 12.50 20.00 84.21
Schmidt .411 .330 2.10 .511 107 21.000 9 13 8.41 20.63 43.15
Schnell .341 .310 1.61 .381 44 9.333 7 2 15.91 7.14 37.93
Totals .342 .267 1.46 .380 741 167.333 122 72 16.46 9.72 38.26

ACC Baseball Defensive Efficiency

SW Error

As I watched the Tigers kick the ball around in the second game against Maryland on Monday and heard that (surprisingly) the Terps lead the ACC in fielding percentage I got to thinking about defensive efficiency – neither of those teams on the field looked very good defensively, I don’t care what their fielding percentage is.

And sure enough, Clemson, currently 3rd in fielding percentage in the ACC, is 7th in defensive efficiency – turning balls in play into outs – while Maryland is 6th.

Neither is particularly good at turning batted balls into outs.

Team DE AB H HR SO SF SH
North Carolina .746 1543 313 12 385 12 25
North Carolina St .731 1636 353 27 432 11 23
Florida State .709 1585 370 11 379 15 23
Virginia .704 1565 373 15 392 17 35
Miami .702 1675 415 15 359 18 22
Maryland .700 1698 435 15 328 13 34
Clemson .699 1635 429 20 301 11 34
Wake Forest .698 1710 464 32 304 20 35
Georgia Tech .692 1605 424 28 347 19 35
Virginia Tech .691 1842 474 24 422 17 43
Duke .691 1517 390 14 326 15 24
Boston College .670 1631 479 17 282 22 44

Stats Through 47 – Freshmen Pitchers Come Through

Matthew Crownover

Stats through 47 games.

This week we move to a new format that I hope in the long run will be easier to navigate and interpret for my readers. Until then, please bear with the formatting issues.

Pitching – Vs. All, Vs. Right, Vs. Left

vs. All OBP AVG WHIP SLG BF IP SO BB SO% BB% ERA
Andrews .263 .200 0.96 .278 99 25.000 13 6 13.13 6.06 2.52
Bates .486 .280 1.86 .320 37 7.000 3 6 8.11 16.22 5.14
Campana .524 .333 2.31 .467 21 4.333 1 5 4.76 23.81 4.15
Campbell .271 .187 1.06 .333 85 21.667 27 9 31.76 10.59 4.15
Crownover .307 .252 1.17 .366 220 54.667 31 13 14.09 5.91 2.14
Erwin .293 .209 1.02 .294 180 45.000 25 14 13.89 7.78 2.60
Firth .324 .256 1.26 .345 233 53.333 36 15 15.45 6.44 2.53
Gossett .298 .224 1.21 .336 313 72.667 68 26 21.73 8.31 2.48
Kent .328 .310 1.40 .414 63 14.333 10 2 15.87 3.17 3.77
Koerner .381 .250 1.67 .400 101 21.000 20 15 19.80 14.85 3.43
Meyer .341 .317 1.39 .444 133 31.000 24 3 18.05 2.26 4.06
Moorefield .474 .438 2.70 .750 19 3.333 2 2 10.53 10.53 2.70
Schmidt .422 .353 1.99 .463 248 49.667 24 22 9.68 8.87 5.26
Schnell .343 .268 1.38 .299 109 24.000 17 7 15.60 6.42 2.25
Totals .334 .262 1.34 .368 1,861 427.000 301 145 16.17 7.79 3.04

 

vs. RH OBP AVG WHIP SLG BF IP SO BB SO% BB% % Right
Andrews .324 .237 1.28 .322 68 15.667 6 6 8.82 8.82 68.69
Bates .448 .273 1.67 .318 29 6.000 2 4 6.90 13.79 78.38
Campana .467 .273 1.80 .455 15 3.333 1 3 6.67 20.00 71.43
Campbell .229 .163 0.87 .349 48 12.667 18 4 37.50 8.33 56.47
Crownover .275 .239 1.03 .359 151 38.667 20 6 13.25 3.97 68.64
Erwin .292 .227 0.99 .352 100 25.333 11 5 11.00 5.00 55.56
Firth .323 .262 1.19 .344 138 32.000 19 6 13.77 4.35 59.23
Gossett .320 .236 1.35 .366 182 40.000 43 16 23.63 8.79 58.15
Kent .241 .222 0.91 .296 31 7.667 6 1 19.35 3.23 49.21
Koerner .403 .273 1.70 .455 71 14.667 10 10 14.08 14.08 70.30
Meyer .290 .267 1.09 .333 93 23.000 22 1 23.66 1.45 69.92
Moorefield 1.000 1.000 #DIV/0! 1.667 3 .000 0 0 0.00 #DIV/0! 15.79
Schmidt .431 .371 1.92 .427 141 28.667 15 9 10.64 6.38 56.85
Schnell .338 .232 1.20 .232 66 15.000 10 5 15.15 7.58 60.55
Totals .331 .260 1.28 .362 1136 262.667 183 76 16.11 6.69 61.04

 

vs. LH OBP AVG WHIP SLG BF IP SO BB SO% BB% % Left
Andrews .129 .129 0.43 .194 31 9.333 7 0 22.58 0.00 31.31
Bates .667 .333 3.00 .333 8 1.000 1 2 12.50 66.67 21.62
Campana .667 .500 4.00 .500 6 1.000 0 2 0.00 66.67 28.57
Campbell .324 .219 1.33 .313 37 9.000 9 5 24.32 18.52 43.53
Crownover .377 .283 1.50 .383 69 16.000 11 7 15.94 14.58 31.36
Erwin .295 .185 1.07 .215 80 19.667 14 9 17.50 15.25 44.44
Firth .326 .247 1.36 .346 95 21.333 17 9 17.89 14.06 40.77
Gossett .266 .207 1.04 .293 131 32.667 25 10 19.08 10.20 41.85
Kent .406 .387 1.95 .516 32 6.667 4 1 12.50 5.00 50.79
Koerner .333 .200 1.58 .280 30 6.333 10 5 33.33 26.32 29.70
Meyer .462 .444 2.25 .722 40 8.000 2 2 5.00 5.00 30.08
Moorefield .375 .308 1.80 .538 16 3.333 2 2 12.50 20.00 84.21
Schmidt .411 .330 2.10 .511 107 21.000 9 13 8.41 20.63 43.15
Schnell .349 .317 1.67 .390 43 9.000 7 2 16.28 7.41 39.45
Totals .340 .266 1.44 .377 725 164.333 118 69 16.28 9.52 38.96

 

Batting – Vs. All, Vs. LHPs and Vs. RHPs
 

vs. ALL OPS OBP SLG AVG PA AB HR RBI SO BB SO% BB%  
Baum .595 .322 .273 .227 157 132 0 7 18 17 11.46 10.83  
Boulware .849 .366 .483 .308 191 172 7 39 21 15 10.99 7.85  
Bradley .433 .262 .171 .143 42 35 0 1 9 5 21.43 11.90  
Brittle .649 .345 .304 .250 197 168 1 18 33 21 16.75 10.66  
Campana 1.500 .500 1.000 .500 2 2 0 1 0 0 0.00 0.00  
Costigan .890 .390 .500 .306 41 36 0 6 10 5 24.39 12.20  
Duggar .725 .364 .361 .283 208 180 2 22 30 23 14.42 11.06  
Dunster .222 .111 .111 .111 9 9 0 1 5 0 55.56 0.00  
Gibson .472 .254 .218 .200 61 55 0 6 8 3 13.11 4.92  
Kennedy .829 .400 .429 .304 197 161 3 25 42 29 21.32 14.72  
Krieger .692 .354 .337 .277 191 166 0 21 24 18 12.57 9.42  
McGibbon .611 .333 .278 .254 192 169 0 31 25 17 13.02 8.85  
Reader .333 .333 .000 .000 3 2 0 0 2 1 66.67 33.33  
Reed 1.250 .500 .750 .500 4 4 0 2 2 0 50.00 0.00  
Slaton .714 .381 .333 .295 158 132 0 10 31 18 19.62 11.39  
Triller 1.053 .417 .636 .455 13 11 0 3 2 0 15.38 0.00  
Wilkerson .761 .359 .402 .293 185 164 1 23 38 17 20.54 9.19  
Totals .708 .354 .354 .273 1,851 1,598 14 216 300 189 16.21 10.21  
 -  -  -  -  -  -  -  -  
vs. RHP OPS OBP SLG AVG PA AB HR RBI SO BB SO% BB% % vs. RHP
Baum .679 .351 .328 .234 79 64 0 3 8 10 10.13 12.66 50.32
Boulware .921 .389 .532 .319 108 94 5 26 9 10 8.33 9.26 56.54
Bradley .580 .308 .273 .227 26 22 0 1 5 3 19.23 11.54 61.90
Brittle .719 .366 .353 .259 101 85 1 12 16 13 15.84 12.87 51.27
Campana 3.000 1.000 2.000 1.000 1 1 0 1 0 0 0.00 0.00 50.00
Costigan .934 .389 .545 .333 36 33 0 6 7 3 19.44 8.33 87.80
Duggar .771 .362 .409 .280 105 93 2 10 10 12 9.52 11.43 50.48
Dunster .400 .200 .200 .200 5 5 0 1 2 0 40.00 0.00 55.56
Gibson .398 .226 .172 .172 31 29 0 2 3 2 9.68 6.45 50.82
Kennedy .819 .417 .402 .310 110 87 1 13 20 18 18.18 16.36 55.84
Krieger .774 .407 .367 .311 108 90 0 17 12 14 11.11 12.96 56.54
McGibbon .587 .300 .287 .255 100 94 0 17 10 6 10.00 6.00 52.08
Reader .333 .333 .000 .000 3 2 0 0 2 1 66.67 33.33 100.00
Reed 1.000 .500 .500 .500 2 2 0 0 1 0 50.00 0.00 50.00
Slaton .700 .385 .315 .260 91 73 0 5 18 15 19.78 16.48 57.59
Triller .476 .143 .333 .167 7 6 0 2 1 0 14.29 0.00 53.85
Wilkerson .759 .347 .412 .282 96 85 1 13 13 8 13.54 8.33 51.89
Totals .742 .364 .378 .277 1,009 865 10 129 137 115 13.58 11.40 54.51
 -  -  -  -  -  -  -
vs. LHP OPS OBP SLG AVG PA AB HR RBI SO BB SO% BB% % vs. LHP
Baum .514 .293 .221 .221 78 68 0 4 10 7 12.82 8.97 49.68
Boulware .760 .337 .423 .295 83 78 2 13 12 5 14.46 6.02 43.46
Bradley .188 .188 .000 .000 16 13 0 0 4 2 25.00 12.50 38.10
Brittle .576 .323 .253 .241 96 83 0 6 17 8 17.71 8.33 48.73
Campana .000 .000 .000 .000 1 1 0 0 0 0 0.00 0.00 50.00
Costigan .400 .400 .000 .000 5 3 0 0 3 2 60.00 40.00 12.20
Duggar .677 .366 .310 .287 103 87 0 12 20 11 19.42 10.68 49.52
Dunster .000 .000 .000 .000 4 4 0 0 3 0 75.00 0.00 44.44
Gibson .555 .286 .269 .231 30 26 0 4 5 1 16.67 3.33 49.18
Kennedy .839 .379 .459 .297 87 74 2 12 22 11 25.29 12.64 44.16
Krieger .587 .284 .303 .237 83 76 0 4 12 4 14.46 4.82 43.46
McGibbon .636 .370 .267 .253 92 75 0 14 15 11 16.30 11.96 47.92
Reed 1.500 .500 1.000 .500 2 2 0 2 1 0 50.00 0.00 50.00
Slaton .731 .375 .356 .339 67 59 0 5 13 3 19.40 4.48 42.41
Triller 1.800 .800 1.000 .800 6 5 0 1 1 0 16.67 0.00 46.15
Wilkerson .763 .371 .392 .304 89 79 0 10 25 9 28.09 10.11 48.11
Totals .667 .341 .326 .269 842 733 4 87 163 74 19.36 8.79 45.49

 

Runs Produced

Player RP/Game RP/PA GP PA R HR RBI RP
Boulware 1.43 0.35 46 191 34 7 39 66
Kennedy 1.17 0.28 47 197 33 3 25 55
Duggar 1.15 0.26 47 208 34 2 22 54
McGibbon 1.15 0.28 47 192 23 0 31 54
Wilkinson 1.05 0.25 44 185 24 1 23 46
Brittle 1.04 0.24 46 197 31 1 18 48
Krieger 0.87 0.21 47 191 20 0 21 41
Costigan 0.63 0.24 16 41 4 0 6 10
Gibson 0.58 0.25 26 61 9 0 6 15
Slaton 0.57 0.16 44 158 15 0 10 25
Baum 0.50 0.14 44 157 15 0 7 22
Triller 0.42 0.38 12 13 2 0 3 5
Reed 0.33 0.50 6 4 0 0 2 2
Campana 0.33 0.50 3 2 0 0 1 1
Dunster 0.22 0.22 9 9 1 0 1 2
Bradley 0.13 0.07 24 42 2 0 1 3
Reader 0.00 0.00 3 3 0 0 0 0
                 

RBI PERCENT – Percent of Runners on Base That Are Driven In

 

Player HR RBI ROB RBI%
Boulware 7 39 146 21.92
McGibbon 0 31 155 20.00
Costigan 0 6 31 19.35
Kennedy 3 25 132 16.67
Wilkerson 1 23 134 16.42
Krieger 0 21 151 13.91
Duggar 2 22 147 13.61
Brittle 1 18 127 13.39
Gibson 0 6 49 12.24
Slaton 0 10 97 10.31    
Baum 0 7 118 5.93    
Bradley 0 1 28 3.57    

 

Runs Produced

BB0026_t607

Runs produced is not a new concept in baseball metrics and I’ve been interested in producing one for Clemson all season. 

Not only was I able to create a raw number of runs produced, but I’ve also come up with the runs produced per games played and runs produced per plate appearance.

Runs produced per game played is useful for players that play on a regular basis and gives you a quick view of how a player is doing.  For instance, a quick look at Garrett Boulware shows that Boulware is producing 1.44 runs per game.  But the per game statistic is lacking for someone like Tyler Slaton who was a defensive replacement only in several games early in the season.


Runs Produced 44.0

For this reason, I’ve created a column for runs produced per plate appearance and while the order is close to the same for the regulars there are some interesting numbers here.

First, who would have guessed that John McGibbon would be second on the team in runs produced per plate appearance?  The .02 difference between McGibbon and Duggar doesn’t seem like much in raw numbers, but in fact that works out to a 7.6% difference between the two.

Secondly, while Tyler Slaton’s low runs produced per game can be partially explained by several appearances on defense only, it’s harder to explain his .17 runs produced per plate appearance. 

I’ve been on the Slaton bandwagon, especially after his horrendous start to the season, but these numbers mean despite Slaton’s .320 average Clemson’s leadoff man is producing only 1 run every 6 plate appearances.  That seems low for a leadoff man.

No one expects home runs or even a ton of RBI from the leadoff spot.  What they do expect is for the leadoff man to score and Slaton has scored only 15 runs in 32 starts and 146 plate appearances.

Stats Through 44 and Why Tyler Krieger’s Bat Is Important

Tyler Krieger

Tyler Krieger began the season as a slick fielding, light hitting shortstop. Twenty games into the season Krieger was hitting .212 with 6 RBI in 66 at bats.Twenty four games later Krieger sits at .286, which equates to a .341 average over those 24 games.

Krieger has come up with clutch hits, the game winning hit in the second game of Friday’s double header being example A and his game winning RBI in a 1-0 win over Wake Forest on April 13th being exhibit B.

But Krieger’s bat is more important than just those two game winning hits as evidenced by the fact that Krieger has come to the plate with 139 runners on base this season – more than Garrett Boulware – and the third most on the team.

It’s no coincidence that Clemson is 18-6 over those 24 games when Krieger has batted anywhere from 6th to 9th. It seems that no matter his place in the lineup, runners are on when Krieger steps to the plate and the difference between .212 and .286 can mean winning and losing a game.

RBI_2.44
2013 Baseball Batting44

I try to learn something new everyday, so if anyone can tell me what a “team unearned run” is I’m all ears. I’ve never heard of such a thing, but there it was in the box score from Saturday’s game. Four of them in Georgia Tech’s 10 run 5th inning: “EVANS homered to left field, 2 RBI, team unearned;”.

Apparently, under this concept the pitcher is charged with an earned run, but the team is charged with an unearned run – at least that’s the only way I could get the official stats on clemsontigers.com to make sense. How the same run can be charged as earned against the pitcher, but unearned for the team is beyond my pay grade. But, if you look at the “ER” column on the stats page you see that the total is listed as 136. Add up the numbers and you get 140.

If one of my readers has any insight or a link it would certainly be appreciated. Until I can decode the official scoring of unearned team runs the pitching stats totals here (mainly ERA) will differ slightly from the official ones issued by Clemson. For instance, I show the teams ERA at 3.15 (and the individual numbers are correct and total to this number), however Clemson shows the number at 3.06 due to these 4 “unearned team runs”.

Patrick Andrews had another good outing on Friday, giving up 1 run on 2 hits and a walk in 3 and two thirds innings in a 4-3 come from behind victory over Georgia Tech.

Andrews WHIP is down to 0.91, but what’s interesting is the right handed Andrews’ dominance of left handed batters. Lefties are batting .107 against Andrews (3 for 28) and Andrews has not walked any of the 28 lefties faced while striking out 6. Conversely, Andrews is walking 9.5% of the right handers he’s faced, while only striking out 5 of 63.

Baseball logic says pitchers typically fare better against batters from the same side as they throw – right handed pitchers tend to fare better against right handed batters – but not in Andrews’ case.
2013 Baseball Pitching44

Clate Schmidt continues to struggle as the third starter. Schmidt’s numbers are getting ugly and one has to wonder if Jack Leggett will try another option in that spot on Sunday. Andrews got a start early in the season and failed miserably, but I wonder if he, or perhaps Jonathan Meyer, will get an opportunity in place of Schmidt sooner rather than later.

With no midweek game this week the bullpen should be rested and ready come game 3 and Maryland might be the team for another starter to get his feet wet, especially playing at Clemson.