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ElViento: So I’ve been thinking a lot about what I want to do with this site, and here’s what I’ve come up with.

I’m planning to have one weekly update, with links to applicable UH-related posts from SB Nation, as well as links and commentary on any other Cougar news items of the week. Then, a top-five list that’s completely unrelated, just for giggles.  So it’ll look something like this:

This Week On SB Nation Houston (7/1)

“Just Trust Me” – Feature on Mack Rhoades’ first year at UH

Karma delivered by former Cougar Rob Johnson

Sporting News gives Keeum back-handed compliment

Around The Web

Houston Cougar volleyball announces its 2010 schedule… First-year coach Molly Alvey isn’t ducking anybody. The Coogs will play TCU, UT-Austin, Florida State, Oklahoma and Tennessee among others.

Recent Astro draftee, and former Cougar Chris Wallace is tearing the cover off the ball with Greeneville. He homered three times in his first seven games as a professional.

And at last check, Blake Kelso was hitting .333 for the Vermont Lake Monsters (yes, that’s the real team name) in the Washington Nationals system.

Unrelated Top Five – Songs About Heaven Or Hell

Led Zeppelin – Stairway to Heaven

AC/DC – Hell’s Bells

OPM – Heaven is a Halfpipe

The Clash – Straight to Hell

Eric Clapton – Tears in Heaven

P.S.

I’m now actively looking for more writers to have a better variety of opinions ’round here. If you want to sound off, use the ‘Contact Us’ tab to shoot me off an e-mail. Thanks.

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ElViento: Hey everybody, we’re going to do something a little more off-the-beaten-path today. I created a quiz using quotes from coaches who were rumored to be leaving their jobs. Your mission, should you choose to accept it, is to determine whether the coach in question ended up staying or leaving.

The quiz can be found here.

The cheat sheet can be found here. Click on over afterwards to see who said what.

Have fun!

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jtdees: In 2008, The still-relatively-new Cougar Softball team hosted The game that, if won, would send them to The Oklahoma City for their first Women’s College World Series. Unfortunately,  they didn’t quite make it. In 2009, they quietly brought home a 25-24 record, breaking their two year streak of conference championships with a first round loss.

I know where you think I’m going with this, but you’re probably wrong. (If you were there, or if you’ve seen The uhcougars.com already, you’re probably right…otherwise, you might not be, so there)

The Lady Coogs decided, in their season and home opener, their first game of their tournament, against The nation’s #14 team, that a freshman should get her first career start in the circle. Turns out, The Kyla Holas was right.

Ok, that one wasn’t such a reach, being that The Bailey Watts was The MVP in The State of Texas last year, and was recruited by The likes of The University of Texas at Austin and The Texas A&M University.

To prove that The first career start for The Houston Cougars (1-0) was little cause for intimidation, The Bailey Watts collected nine strikeouts, while only permitting The Ohio State University (oh…that’s why he keeps capitalizing “The”…he’s making fun of Ohio State…how quaint…) (0-1) three hits and two walks in a 1-0 shutout. Much of the game was spent defending the lead earned in the third, and Watts was able to rise to the occasion, giving hope of a solid answer to ElViento’s question in the fourth layer of yesterday’s Casserole.

Bailey Watts' First Pitch

Bailey Watts' First Pitch - jtdees

There were honest questions raised in Cougar Softball Stadium about the manner in which the home team scored. According to the umpire, and thus the scorebook, LF Katy Beth Sherman was able to make the most of her one official at-bat, moving around the bases after her single, on her way to a collision at the plate with TOSU catcher Sam Marder. From the distant perspective of the stands, it was difficult to tell (but probably not incorrectly done) whether Sherman actually managed to lay a finger on the plate (she didn’t). However, in the reasonably-well-positioned umpire’s opinion, Marder had created too much of an obstruction, too far ahead of the plate, and Sherman was awarded the run. The Ohio State coach was displeased by the call, and most in the park unsure of what the final decision was for a couple of minutes, but the game played on.

To restore the balance of who was sure about who scored, RF Angela Spittler led off the Houston 4th inning with a towering homerun to left field (and across Scott Street for that matter). Again, the reasonably-well-positioned umpire was on hand to deliver another contrarian opinion, leaving the onlookers in doubt again. This time, the ball was judged to have turned foul before it flew 60 feet over the fence, and did not award Spittler the round trip. Spittler battled the rest of the at-bat, but was struck out. He giveth, and taketh away.

The team next face Louisville (1-0, winners over Baylor in 8 innings Friday) and Kansas (0-1, run-ruled by Sam Houston State in 6 Friday) at 5 and 7 pm Saturday. If you find yourself in town for the UH men’s basketball game against SMU at 4 pm at Hofheinz Pavilion, run on over to the corner of Scott and Elgin and see this 10th Anniversary Cougar Softball team. They may be a little scrappy starting out (or it may be 35 degrees outside, but who cares? it’s softball!), but should be a return to the winning ways of 2007-2008.

Cougar Softball Stadium

A beautiful, glacial evening at Cougar Softball Stadium - jtdees

A quick note about that Louisville-Baylor game: Because it was a slowly-progressing game, and went to an extra inning, the following Baylor-SHSU and UH-TOSU games were delayed up to an hour. However, that extra inning was quite entertaining. While each team had only mustered one run to that point, Baylor made the most of the tournament-rule free runner on second. The wrong way.

In Louisville’s 8th inning, their free 2nd base runner was quickly joined by the leadoff batter, who was walked to first without much effort. A couple of hits and fielding difficulties later, Louisville had collected three runs. However, Baylor made the bottom half even more interesting. With one out and a walk, they found themselves ready to tie the game again. Instead, their batter popped up to first, where the runner had returned to the bag to stay safe. Unfortunately, the batter was unable to contain her hustle, and bowled into her teammate, knocking her off the base to be easily doubled off by a tag from the waiting Cardinal and end the game. That one’s definitely going in the file to retell at many a softball game. And baseball game. And probably any time someone mentions Baylor to one of those in attendance.

Give me a B. Give me a U. What’s that spell?

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ElViento: I briefly touched on Batting Average on Balls In Play (BABIP) as a predictive tool in a previous post about Conference USA baseball. As a quick review, the concept behind using BABIP is that a pitcher can only truly control certain things: how often he strikes batters out, how many batters he walks, and how many home runs he allows, for example. But once the batter puts the ball in play, it’s mostly up to chance, and chances are that the pitcher will be somewhere near the league average at opposing hitters’ BABIP. So if a pitcher is victimized by an extremely high BABIP, chances are it’ll regress towards the mean the next year, and his ERA will fall. And on the other hand, if he has a luckily low BABIP, he may not be so lucky the next year, and will probably see his numbers get worse.

Now we already looked at the BABIP of certain entire teams, but as previously mentioned, the big X-factor in BABIP is team defense. Better defenders will have better range, get to more balls, and thus lower their pitchers’ BABIP. So instead of comparing one team’s BABIP to another, perhaps a more worthwhile exercise would be looking at individual pitchers. If one pitcher has a high (or low) BABIP as compared to his teammates in a season, maybe that will predict how well he will fare if he returns for the next season.

Before blindly applying the formula, I decided to run a test case using past results. My test case was the Houston Cougars from 2001 to present. I excluded the 2002 team, as opposing at bats were not available online for that team, making a calculation of BABIP impossible. I considered all pitchers who pitched at least 30 innings in two consecutive seasons, to try and eliminate some small sample size bias.

That left me with 25 data points. I eliminated the four examples in which a pitcher’s BABIP differed from his team’s by less than 10 points, giving me 21 significant examples. Of those 21 pitchers, fourteen improved upon their ERA from one year to the next, while seven worsened.

Of the fourteen who improved, in eleven cases the improvement was predicted by an unlucky BABIP the year before.

Of the seven who worsened, in six cases it was predicted by a lucky BABIP the year before.

To look at it another way, when BABIP predicted a pitcher would improve, he did so eleven out of twelve times. Out of the nine times when BABIP predicted a pitcher would get worse, it was correct six times.

In other words, a statistically significantly lucky or unlucky BABIP was 81% accurate in predicting how the pitcher would fare the next year. Are you impressed? I’m impressed.

Before I continue, keep the following in mind in regard to BABIP: it’s not perfect, and it’s not the be-all, end-all of anything. For example, when Cougar Brad Lincoln improved from decent (4.76 ERA) in 2005 to unhittable (1.69) in 2006, it wasn’t just because his BABIP improved. Lincoln got a lot better at the things he could control. His K/9 rate improved from 9.4 to 10.7. He gave up 4 fewer home runs in 25.2 more innings pitched. And yes, his BABIP improved, and yes, that did help. BABIP is a tool, nobody is claiming that it’s the tool.

With that disclaimer out of the way, let’s go ahead and apply the BABIP formula to some current examples around the conference.

Rice: If you can believe it, despite his team-leading 2.17 ERA a year ago, Mike Ojala was significantly unlucky (BABIP .031 higher than the team average). Too bad for the Owls he’ll miss the start of the season with injury. Did you know that Ojala struck out 6 more hitters than ’09 Owls ace and Baltimore Orioles-draftee Ryan Berry in 15.1 fewer innings pitched? It’s true.

East Carolina: If the numbers are to be believed, Brad Mincey is the real deal, Seth Manness’ back-sliding from ’08 to ’09 is at least partly due to bad luck, and sophomore Kevin Brandt is in for a falling off this year.

Southern Miss: Both returning ace Todd McInnins and closer Collin Cargill were pretty lucky in 2009. There’s not tons of returning pitching talent, so it’s important to the Golden Eagles that the two don’t backslide.

Tulane: As with USM, there isn’t tons of pitching talent returning. The good news is that starters Conrad Flynn and Matt Petiton pretty nearly nailed the team BABIP, while closer Nick Pepitone (3.26 ERA, 9 sv) was actually unlucky, despite his impressive campaign. It will be interesting to see if he can improve even further.

Alabama-Birmingham: If you like the Blazers as a dark horse in C-USA like I do, the good news is that the numbers suggest that returning starters Shay Crawford and Beau Pender are in for an improvement. If Georgia transfer Ryan Woolley is as good as advertised, the weekend rotation could be pretty solid, to go with lots of returning talent in the lineup. The bad news is that the two key returning cogs from an already questionable bullpen (Nick Graffeo and Blake Huddleston) are due for a regression.

Marshall: If losing Nate Lape and Adam Yeager out of the lineup weren’t bad enough, the Thundering Herd’s two best returning pitchers (Austin Coan and Shane Farrell) seem to have gotten lucky a year ago.

Memphis: The two key returning starters in Brach Davis and Brennon Martin seem to have gotten lucky in 2009. But you can expect improvement on the mound from two-way player Heith Hatfield.

Central Florida: The Knights will be relying almost entirely on an impressive incoming recruiting class. The only halfway-decent returning pitcher is two-way player D.J. Hicks, who will miss the beginning of the season with injury. And he hit his team’s BABIP almost perfectly, so this exercise was pretty pointless as far as UCF goes.

And finally, some bad news for the good guys. Using BABIP, Michael Goodnight and Mo Wiley were right where they belonged, while guys like Chase Dempsay, Jared Ray and Ty Stuckey all actually got lucky, despite their unimpressive numbers. But don’t lose faith. As I said, numbers only tell you so much. Wiley was not 100% in 2009 after an injury towards the end of his high school career. A full season of health should cause his numbers to improve. Same goes for Dempsay and (hopefully) being able to spend an entire season focusing solely on pitching, and not hitting. Ray will be out to begin the season with an injury, but we all already know that he hasn’t yet tapped into his potential. I never really suspected that he had been unlucky, he’s just not pitching as well as he’s capable of. The questions for the Cougars remain the same – will the pitching staff show improvement, and will somebody in the lineup flash some power? The answers to these questions will determine whether or not Houston returns to the NCAA post-season in 2010.

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ElViento: No sport lends itself to statistical analysis quite like baseball. In baseball, individual performance can be quantified independent of the performance of one’s teammates much more easily than in other sports.* A quarterback depends on his offensive line and wide receivers (and offensive coordinator, etc.) to put up big passing numbers, whereas a .300 hitter can hit .300 even if placed in a lineup with eight total scrubs.

*Which makes it so wacky that the stats that are teammate-dependant (Runs, Runs Batted In, Wins for pitchers) are among the most-cited stats when determining things like MVP and Cy Young awards. But I digress.

So-called sabermetrics haven’t gotten much of a foothold in the college game yet, which is probably why you see things like rampant sacrifice bunting in a league in which you are allowed to use a metal bat and a designated hitter. Sacrifice bunting is usually a dumb idea in lower-scoring, wood-bat, pitcher-hitting leagues, and if you don’t believe that, you’ve clearly never seen a run expectancy chart.

Anyway, I’m off-topic again. So before I start talking about something completely random, like how good Zombieland was (fucking amazing), let’s get down to brass tacks.

College baseball is harder than professional to analyze statistically, because a single season is such a small sample size (50-some games, as opposed to 162), and because players have careers which are so much shorter (max four years, as opposed to 10+ years). Still, I think there are a few concepts of sabermetrics which might be interesting to apply to the Cougars and Conference USA in order to determine what we can expect from the upcoming season. And some of the following won’t be sabermetrical at all, but will simply be another way of looking at numbers. Feeling nerdy? Let’s dive right in.

Idea #1 – BABIP

Yup, we’re getting math-y right away, with a statistic called BABIP, or Batting Average on Balls In Play. The concept possibly first devised by a dude named Voros McCracken (which practically has to be a pseudonym) is that pitchers can only control certain things, like the frequency with which they strike opposing hitters out, walk opposing hitters, and give up homeruns. Statistical analysis suggests that the numbers a pitcher puts up in these areas stay relatively steady from year to year, and true, lasting improvement has to come from improving upon these numbers. Conversely, if the opposing hitter puts a ball in play (doesn’t walk, doesn’t strike out, doesn’t hit it out of the park), a pitcher has very little control over what happens. Often times an MLB pitcher will have allow one of the highest BABIPs in the league one year, and one of the lowest the next, even though his controllable, peripheral statistics remain constant, perhaps just due to sheer, dumb luck. So if we can expect pitching staffs to allow a BABIP that is near the mean for the league, we can expect teams that allowed flukey low BABIPs to struggle a little more this year, and teams that allowed unluckily high BABIPs to benefit from a regression to the mean. The same concept applies to hitting. (For the following analysis, I will use the formula BABIP = (H-HR)/(AB-HR-K)

I accounted for all statistics accumulated by all C-USA schools, both hitting-wise and pitching-wise. For hitters, East Carolina was the “luckiest” team with a .385 BABIP, and Central Florida was the unluckiest at .325. Eliminating the two outliers, C-USA hitters put together a .344 BABIP. (For reference purposes, all of MLB put up a .303 BABIP in 2009.)

For pitchers, Tulane had the luckiest staff (.303 BABIP) and UCF was again the unluckiest (.390). If we eliminate the outliers, we get a C-USA .334 BABIP.

So aside from the extreme examples, C-USA hit and pitched BABIPs that are just .010 different, which is a difference of one hit every 100 at-bats. That difference is probably due to C-USA having slightly better defense, on average, than its opponents. (Defense is the X-factor here. Teams with better defenses will allow lower BABIPs, because their defensive players will get to more balls. Hence, a team like Rice will continue to have slightly “lucky” looking BABIP every year, because their defense is just awesome.)

What it means: The teams that seemed to be significantly lucky or unlucky in terms of BABIP in 2009 are as follows: ECU (lucky hitters), Rice (lucky hitters [.366 BABIP] and pitchers [.310 BABIP]), UCF (unlucky hitters and pitchers), Houston (unlucky pitchers [.359 BABIP]). So, one might expect the unlucky teams to fare better in 2010, and the lucky teams to do a bit worse.

Idea #2 – Pythagorean W/L

A slightly simpler concept than BABIP, Pythagorean W/L is predicated on the radical idea that teams which outscore their opponents over the course of the year will generally win more often than not. By way of example, if a team scores the same number of runs that it allows, but wins 60% of its games, chances are that said team got pretty lucky.

The simplest formula for determining a team’s Pythagorean (or expected) winning percentage is (RS^2)/(RS^2+RA^2). Taking on the league as a whole, C-USA played to a 286-245 overall record, outscoring opponents 3,672-3,361. That gives us an expected record of 289-242. Not bad. Surprisingly, no team in C-USA differed from its Pythagorean W-L by more than three games. Two teams over-performed by three games (Houston and UCF) nobody under-performed by more than two. So we’ll give UH and UCF lucky check marks, nobody an unlucky check mark, and move on.

Idea #3 – Experience Matters

Let’s move away from sabermetrics for a second now. While impact newcomers show up every year without fail, experienced players are still generally better than inexperienced ones. So let’s take a look at which teams return the most in terms of players from a year ago. We’ll take a look at the offense and the pitching staff. Offensively, we’ll look at what percentage of a team’s 2009 at-bats accumulated return, and for pitching we’ll use innings pitched. While this is a pretty crude method (it won’t take into account things like talented players who were injured coming back [Rob Segedin of Tulane] or injured players who are on their team’s roster, but will miss at least part of the season [Jared Ray of Houston, Mike Ojala of Rice]) it should give us at least a basic idea of who has experienced players heading into the season.

Using this metric, Conference USA as a whole returns 63.3% of both its hitting and pitching from a year ago. No joke. So taking that as the baseline, let’s look at which teams return the most and least from last year. (Taking returning hitting and pitching and averaging the two.)

  1. Rice: 80%
  2. Houston: 77%
  3. Memphis: 77%
  4. UAB: 69%
  5. Marshall: 67%
  6. ECU: 65%
  7. Southern Miss: 54%
  8. Central Florida: 40%
  9. Tulane: 40%

Taking the teams that are significantly away from the mean means Rice, UH and Memphis have noticeable advantages in terms of experience returning, and Southern Miss, UCF and Tulane have noticeable disadvantages.

So with these factors in mind, let’s take a look at last year’s team records (sorted by overall winning percentage), with the factors we’ve just looked at noted parenthetically:

Rice: 43-18, 71% (Good: Most experience. Bad: Possibly lucky at both hitting and pitching.)

ECU: 46-20, 70% (Bad: Possibly lucky at hitting)

Southern Miss: 40-26, 61% (Bad: Not much experience.)

Tulane: 34-25, 58% (Bad: Tied least experience)

UAB: 31-26, 54% (None)

Houston: 27-31, 47% (Good: Experienced, unlucky pitching. Bad: Slightly out-performed pythag.)

Marshall: 22-32, 41% (None)

Memphis: 21-32, 40% (Good: Experienced)

Central Florida: 22-35, 39% (Good: Unlucky hitting and pitching. Bad: Slightly out-performed pythag., tied most inexperienced)

Looking at this, what would you think by way of a power ranking for C-USA for the upcoming season? Probably keep Rice-ECU at 1-2, given how much better they were than everybody else. With Rice having the experience edge, you’d keep them at #1, even though ECU won the C-USA regular season title by a game last year. Southern Miss is inexperienced, but not fatally so. So with a 6-win advantage over anybody else, you probably keep them where they are. Tulane, UAB and Houston are all pretty close, and the Cougars have the biggest pluses, so you move them to #4. You probably have UAB leap-frog Tulane, given the Green Wave’s lack of experience. Memphis takes the small step over Marshall due to experience, and UCF stays in last with a lack of experience, despite the possibility of Lady Luck turning their way in 2010. That would give you a 1-9 power ranking that looks like this:

  1. Rice
  2. ECU
  3. Southern Miss
  4. Houston
  5. UAB
  6. Tulane
  7. Memphis
  8. Marshall
  9. UCF

Switch UAB for Tulane, and Memphis for Marshall, and you have the exact order I listed the teams in for my pre-season power rankings. (Before I had looked up or taken any of this into account.)  I’ll justify Tulane staying at the #5 spot due to the fact that Segedin is back (even though I didn’t mention that in my write-up…d’oh!) and did put up a .322/.414/.485 as a freshman in 2008. I wouldn’t argue with anybody moving the Blazers up to the 5-spot, however. I maintain Marshall at #7 over the Tigers, just because I like what returning talent they do have better than I like that of Memphis. So there.

The End.

If you actually read this entire convoluted mess of an article, show up to a Cougar baseball game, find me, and I will give you $20.

(Not really)

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ElViento: If you don’t already know who Jackson Jeffcoat is, use google. I’m cranky, and I’m not typing it all up again.

Friday’s news is a good reason why so many veteran college football fans don’t follow recruiting. It’ll just drive ya nuts. I have, as of now, spent an unhealthy amount of time obsessing over a football player who will never play for my team. (A football player my team will never even play against, in all likelihood, given Austin’s…um…disinclination to schedule Houston.)

One has to speculate that Jeffcoat’s decision is the nail in the coffin that is the 4-3 defense at Houston. With even less depth on the D-line, Kevin Sumlin hinting about change, and a DC experienced in the 3-4 (granted, Brian Stewart has stated that the defensive scheme that best fits the personnel will win out), one has to think that’s where the Cougars are headed. Can we do what we failed to do last year – get a pass rush, and stop the run – in a 3-4? That’s the question facing Sumlin, Stewart, et al.

If you follow recruiting and are bummed by losing out on Jeffcoat, keep in mind that there is still a very stout recruiting class coming in next year. One of the best in the recent history of this school. We will be alright.

Now some (*cough*Steve Campbell*cough*) will argue against the meaningfulness of Houston remaining in contention ’til the last second in the battle for Jeffcoat’s services. But I disagree. It is true that most pundits didn’t give the Cougars a snowball’s chance in hell of landing the 5-star recruit, but Jeffcoat himself made it impossible to completely ignore UH. When Houston is in contention for a recruit of this caliber again (and that’s a ‘when’, not an ‘if’) the road will be a little bit easier. The pundits will give us a slightly better chance because they’ve seen us there before. The endless parade of friends and family members trying to whisper in the kid’s ear might ask about UH, giving the program more credibility in the recruit’s mind. The Jeffcoat recruitment is a step in the right direction, folks. You gotta walk before you can run.

Now if you’ll excuse me, I’m going to go vomit at the prospect of a good kid like JJ playing for the enemy.

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ElViento: Let’s finish this sucker off


7. Marshall Thundering Herd (22-32, 9-15)

Strengths: Marshall returns a quartet of players who could play for anybody in C-USA in Josh Valle (.337/.459/.487), Victor Gomez (.332, 18 HR), Austin Coan (3.49 ERA, 8 sv) and Shane Farrell (3.88, 8.5 K/9).

Question Marks: Overall team depth, fielding. The losses of Adam Yeager and Nate Lape will hurt the offense, and the one strength of the pitching staff – bullpen depth – takes a hit due to graduation, as well. Starting pitching wasn’t good last year, and there’s little reason to believe it’ll be any better this year. The fielding wasn’t good a year ago either, compiling the worst fielding percentage in conference, and allowing 15 more stolen bases than the next worst offender in C-USA.

Best Pro Comparison: Valle, the short, stocky slap-hitter as Tony Gwynn.

Team Song: Black-Eyed Peas – Gone Going (ft. Jack Johnson)…The Thundering Herd couldn’t crash the NCAA tournament either of the last two seasons with two of the most exciting hitters in C-USA in Yeager and Lape. I have to think their window of opportunity is gone.

8. Memphis Tigers (21-32, 7-16)

Strengths: The top five hitters from last year’s squad return, all of whom hit .285 and above. That experience should make up for the loss of Brett Bowen, who led the team in homers, RBI and slugging. The pitching staff returns almost entirely intact, as well.

Question Marks: Pitching talent, power hitting. Yes, nearly every pitcher who threw significant innings in 2009 is back, but that staff only put up a 6.30 team ERA a year ago. Unless improvement is present, experience won’t matter. With all the starters coming back in the lineup, the Tigers should climb out of the C-USA basement in team batting average, but whether or not they can climb out of the bottom two in HR, 2B and BB will determine how far they go.

Best Pro Comparison: Heith Hatfield as Brooks Kieschnick. Tall dudes who can hit and pitch, but can’t do either particularly well.

Team Song: Elvis – Blue Suede Shoes…Maybe the Tigers have been wearing some, instead of traditional baseball attire. That would explain their play on the field the last couple of years. (Plus: Elvis. Memphis. C’mon, it’s a gimme.)

9. Central Florida Knights (22-35, 9-15)

Strengths: Some quality hitters like Shane Brown (.341, 44 RBI), Beau Taylor (.335, 19 XBH in 164 AB) and D.J. Hicks (.301, 8 HR) are back.

Question Marks: When you put up a team ERA of 7.47, and the only two pitchers on your team who could be described as “talented” or “having potential” (Kyle Sweat and Jaager Good) have graduated, you are probably pretty screwed.

Best Pro Comparison: Hicks as Carlos Lee; big, beefy outfielders who probably should draw a few more walks for how much power they have.
Team Song: BlakRoc – Ain’t Nothing Like You…This song has nothing to do with the UCF Knights. But the prospect of coming up with a song to describe how bad they are depresses me. So they get a kick-ass song.

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