Posts Tagged “Kyle Conley”

Lookin’ at a whole lot of ‘meh’. Kyle Conley posted some video game numbers, putting himself on the prospect map. Maybe not a whole lot to hyperventilate over after that. Matt Adams carried over his brilliance from Johnson City. Decent performance by Ryde Rodriguez, but he was demoted from the QC and his BB/K rate is rather troubling. Ryan Jackson was more of an all-glove, no-hit shortstop than I would have hoped for.

Niko Vasquez…sigh.

Rk Age PA R SB CS BB SO BA OBP SLG OPS TB
1 Kyle Conley 124 21 2 3 13 20 .385 .452 .752 1.204 82
2 Matt Carpenter 23 37 9 0 1 4 2 .469 .541 .563 1.103 18
3 Matthew Adams 20 142 16 0 0 11 21 .346 .394 .523 .917 68
4 Ryde Rodriguez 21 174 18 1 0 6 34 .311 .339 .473 .812 79
5 Alan Ahmady 21 296 46 2 3 47 52 .292 .407 .391 .798 95
6 Xavier Scruggs 21 171 21 1 1 21 48 .234 .345 .428 .773 62
7 D’ Marcus Ingram 21 158 19 18 2 17 20 .290 .372 .384 .756 53
8 Jack Cawley 23 36 5 1 0 6 5 .300 .417 .333 .750 10
9 Devin Goodwin 22 239 31 2 2 25 36 .239 .316 .383 .699 80
10 Hector Alvarez 22 5 0 0 0 1 2 .250 .400 .250 .650 1
11 Jonathan Edwards 21 119 11 1 0 5 46 .232 .269 .339 .608 38
12 Nico Vasquez 20 279 19 1 1 26 56 .209 .283 .293 .576 73
13 Luis De La Cruz 20 171 20 4 2 10 28 .220 .275 .283 .558 45
14 Edwin Gomez 21 9 0 0 0 0 3 .222 .222 .333 .556 3
15 Michael Swinson 19 108 13 4 1 11 24 .196 .279 .272 .551 25
16 Ivan Castro 21 153 20 1 0 8 36 .207 .248 .297 .545 43
17 Ryan Jackson 21 283 29 4 3 29 37 .216 .297 .241 .538 59
18 Beau Riportella 20 134 16 6 1 12 28 .191 .269 .252 .521 29
19 Jairo Martinez 22 105 11 1 0 6 33 .177 .229 .240 .468 23
20 Travis Mitchell 21 63 4 3 2 4 21 .155 .206 .172 .379 10
21 Guillermo Toribio 22 46 4 0 2 2 12 .159 .196 .182 .377 8
23 Players 20.9 2852 333 52 24 264 564 .249 .321 .357 .678 904
Provided by Baseball-Reference.com: View Original Table
Generated 9/8/2009.

League average batting line is pretty soft for the NYPL — .245/.320/.345. Keep this in mind when we look at the pitcher’s next.

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These days, we’re spoiled for statistical information on our favorite big league players, and it’s trickled down to the minors as well. But we just don’t see a lot of quantitative analysis on college players around the ‘net. It’s a shame, too, because when hearing name after name being called on draft day, there’s little we know about the players who are being called and how they truly performed against their peers. Sure, the top players get some ink, but after the first couple of rounds we’re left with some superficial college stats that may look good on the surface but tell us nothing about the context they were in.

Thankfully, there are some hard workers out there like Mike Rogers, who have taken the time to apply some of the advanced metrics to the college game to give us more information on some of these draft picks out of the D-I schools. He’s also been kind enough to share with me his findings. Mike has used Tango’s wOBA (weighted on-base average) for players, as well as speed scores, isolated power, walk rates, strikeout rates and the like to find some of the top college performers in the draft. He’s even applied things like strength of schedule, average conference stats and park factors for context.

Now, I recommend reading the scouting reports first. Tools trump performance in evaluating amateurs. Just because someone is a good college baseball player doesn’t guarantee success at the major league level. But this does tell us more about what these players have done, and one thing we know, the Cardinals highly value track record in many ways.

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Quick announcement: I’ll be on UCB Radio tonight at 9:30 to talk all things draft.

Here’s some quick snap shots of who the Cardinals took on Day 2
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