Well, the Tigers play Arizona State in the Super-Regional best of three series starting Friday. ASU is the overall 5th seed in the tournament, led by likely top 15 first round draft pick RHP Mike Leake. You've probably already seen the eye-popping raw numbers: 20 BB vs. 143 K in 124.2 IP. The scouting reports say the most impressive part of his pitching reportoire is his command, sitting around 70 on the 20-80 scale--he can apparently throw four different pitches for strikes, at any point in the count. The other thing I keep reading about is praise for his poise--so I wouldn't count on Clemson being able to rattle him with any of their patented offensive outbursts. The other two primary starters for ASU hover close to mere mortality, but still sport solid numbers that match up well with any of Clemson's starters. One glaring kink in ASU's pitching is their lack of depth; including the three starters they really only run about 7 deep this season. Of course, when you have a guy like Leake throwing complete games every time he takes the hill that tends to lessen the need for bullpen work, and when they do turn the ball over it usually goes to newly-minted Freshman All-American Mitchell Lambson, he of 84 Ks in 73.2 largely relief innings. Notwithstanding Lambson, Clemson has to be thinking about breaking into ASU's pen on offense this Friday, but with Leake likely dealing strikes from the get-go they probably can't afford to take an unusually patient approach at the plate.
On offense, ASU is led by PAC-10 player of the year CF Jason Kipnis (a likely second rounder in next week's draft), who sports a healthy .387/.500/.731 slash line--the guy manages to gets on base in half of his plate appearances. In raw home run totals, he is bested by the other slugger on the roster, catcher Carlos Ramirez, who has 18 to Kipnis' 15.
I guess what jumps out at me is the top pitchers and hitters at ASU have put up better numbers than anyone on the Tigers' roster. Despite this, I don't think you can name ASU the overwhelming favorite this weekend for two reasons: 1) roster-wise, top to bottom the Tigers get more consistent numbers out of their players, particularly on offense. 2) You have to take into account opponent strength--the PAC-10 is traditionally a power conference in baseball, but this year has been something of a down year (ASU is the last PAC-10 team in the field) and by most accounts a strong year for the ACC.
One area where the Tigers might be overmatched is defense--not exactly a strong suit this season. ASU has PAC-10 defensive player of the year SS Jake Schlander, and looking at the pitching numbers, it seems safe to infer that their staff ERA is bolstered by a strong defense.
All in all, Clemson is certainly the underdog this weekend. But not by wide margin. It will be interesting to see how Clemson's youngish offense fares against a highly-regarded pitcher, one who probably hasn't faced a lineup this year with the same mix of balance and power that Clemson will run out. Like I said before the regional, baseball is a game driven in part by random outcomes, and the Tigers are riding a hot streak. Let's hope it carries them through the weekend--
GO TIGERS!!!
Showing posts with label Arizona St.. Show all posts
Showing posts with label Arizona St.. Show all posts
Wednesday, 3 June 2009
Tuesday, 17 March 2009
CLEMSON 2009 NCAA TOURNAMENT: Projecting Clemson's Chances
I’ve just finished running some simulations for 2009 tourney, and unfortunately my optimism from yesterday has been tempered somewhat. That being said, I still think Clemson’s got a pretty good draw here, and I’ll explain why in a second.
Let me start this post by saying that statistics-based projections like these are never going to substitute for a detailed look at the actual matchups. On the other hand, I don’t know anyone (including most national columnists) who has enough knowledge of all 65 teams to make a detailed matchup-based projection that covers all 63 games in the tournament. I see these projections as a supplement of sorts to aid in more detailed looks ate the weaknesses and strengths of teams that could matchup with one another.
Here’s a quick outline of what I’m doing. Every year I take the field and using a Markov-like process I start with the first round and go through all the games; picking winners based on the probability of a given team winning the game. Calculating the probability is probably the hardest part about this, and there are many ways to do it. The methods for this are a little dry for a blog post, but I’m more than willing to discuss the process with anyone who’s interested, just drop a comment or we can work something out via email. At any rate, after I get the probability of winning for two teams playing each other, I simply generate a random number. This number determines the winning team according to the probabilities (for example, if you think Clemson has a 70% chance of beating Michigan and the number you generate is 56, Clemson wins. If you generate 79, Michigan wins). Then I continue with the winners and move up round by round until finishing the tournament, keeping tally of which teams finished where. Then I rerun the process a million times; this gives the percent likelihood of each team advancing through to a round.
The chart below shows how well Clemson fares in the simulations, I’m showing it alongside Clemson’s numbers from the 2007 tournament for reference (initially I thought of showing the 2006 numbers as well, but yeah…)

The percentages in each column indicate the likelihood of Clemson making it through to that round. First thing to keep in mind is that all teams see substantial drops as they move through the bracket (well, except the 1 and 2 seeds in the first round) because with every round the pool of teams that can reach a particular spot increases. For example, there are eight teams vying for any particular sweet sixteen spot, so the percentages have to be divided up among all eight teams.
By my projections, Clemson is looking at about a 16-17% chance at reaching the elite eight. Oklahoma has the best chance in our group of eight, clocking in at about 32%, with Syracuse and Arizona State around 25% each and the other four teams at fractional percentages. Doesn’t sound like anything to write home about, yeah? But these are really fascinating results—you don’t usually see such an equal distribution for a sweet sixteen spot and that’s a pretty low percentage for a two seed. Moreover, Clemson comes out way in front of other 7/10 seeds, no one else clears 5% in the simulations. Clemson even equals or performs better than exactly half of the 4/5/6 seeds. I think we can take this as pretty strong evidence that Clemson is grossly under-seeded. If I’m an Oklahoma fan, I’m pretty upset about Clemson being in the neighboring game.
Well, I don’t want to dwell too long on this, because like I said, it’s a poor substitute for looking directly at the matchups. Tomorrow I’ll try to add to what ClemBen said about Michigan in his last post. If anybody has any specific questions about the simulations, drop a question in the comments. I’m probably going to tweak a few things in the next day and see how they come out. I don’t think it’s wise to post the entire projection before Thursday because I don’t want anyone taking this too seriously (just look at Clemson’s chances last year—we all know how that turned out). Plus, I can’t have ClemBen stealing any of my picks…
Let me start this post by saying that statistics-based projections like these are never going to substitute for a detailed look at the actual matchups. On the other hand, I don’t know anyone (including most national columnists) who has enough knowledge of all 65 teams to make a detailed matchup-based projection that covers all 63 games in the tournament. I see these projections as a supplement of sorts to aid in more detailed looks ate the weaknesses and strengths of teams that could matchup with one another.
Here’s a quick outline of what I’m doing. Every year I take the field and using a Markov-like process I start with the first round and go through all the games; picking winners based on the probability of a given team winning the game. Calculating the probability is probably the hardest part about this, and there are many ways to do it. The methods for this are a little dry for a blog post, but I’m more than willing to discuss the process with anyone who’s interested, just drop a comment or we can work something out via email. At any rate, after I get the probability of winning for two teams playing each other, I simply generate a random number. This number determines the winning team according to the probabilities (for example, if you think Clemson has a 70% chance of beating Michigan and the number you generate is 56, Clemson wins. If you generate 79, Michigan wins). Then I continue with the winners and move up round by round until finishing the tournament, keeping tally of which teams finished where. Then I rerun the process a million times; this gives the percent likelihood of each team advancing through to a round.
The chart below shows how well Clemson fares in the simulations, I’m showing it alongside Clemson’s numbers from the 2007 tournament for reference (initially I thought of showing the 2006 numbers as well, but yeah…)

The percentages in each column indicate the likelihood of Clemson making it through to that round. First thing to keep in mind is that all teams see substantial drops as they move through the bracket (well, except the 1 and 2 seeds in the first round) because with every round the pool of teams that can reach a particular spot increases. For example, there are eight teams vying for any particular sweet sixteen spot, so the percentages have to be divided up among all eight teams.
By my projections, Clemson is looking at about a 16-17% chance at reaching the elite eight. Oklahoma has the best chance in our group of eight, clocking in at about 32%, with Syracuse and Arizona State around 25% each and the other four teams at fractional percentages. Doesn’t sound like anything to write home about, yeah? But these are really fascinating results—you don’t usually see such an equal distribution for a sweet sixteen spot and that’s a pretty low percentage for a two seed. Moreover, Clemson comes out way in front of other 7/10 seeds, no one else clears 5% in the simulations. Clemson even equals or performs better than exactly half of the 4/5/6 seeds. I think we can take this as pretty strong evidence that Clemson is grossly under-seeded. If I’m an Oklahoma fan, I’m pretty upset about Clemson being in the neighboring game.
Well, I don’t want to dwell too long on this, because like I said, it’s a poor substitute for looking directly at the matchups. Tomorrow I’ll try to add to what ClemBen said about Michigan in his last post. If anybody has any specific questions about the simulations, drop a question in the comments. I’m probably going to tweak a few things in the next day and see how they come out. I don’t think it’s wise to post the entire projection before Thursday because I don’t want anyone taking this too seriously (just look at Clemson’s chances last year—we all know how that turned out). Plus, I can’t have ClemBen stealing any of my picks…
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A blog about all Clemson Tiger University sports--football, basketball, baseball, along with the occasional South Carolina coot bashing.