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Koten Wong: VEB Projections Results

VEB loves Kolten Wong this year.

Craig Edwards

Editor's Note: Two years ago, Site Manager Ben Humphrey asked readers to provide predictions for Cardinals baseball players. Last year, he renewed that request, and although Ben is in blogger retirement, we at VEB renewed the request to predict how the Cardinals will do. The answers are now in, although projections are still out on many players if you have not yet made one.

We received 153 responses for Kolten WongWhen we asked for projections, we said this:

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Kolten Wong has been roughly average for the Cardinals since his debut during the 2013 season--slightly below average as a hitter, plus slightly above average fielding at second base--and it can be tough to decipher whether that is a disappointment or promising. Average production for the major league minimum salary at an up-the-middle position at 23 and 24 years of age is certainly promising, but it is tough to look at his stats and hope for something more. From July 1, 2014 through June 30, 2015, Wong hit .277/.325/.454 with 20 home runs and a wRC+ of 115 in 571 plate appearances, but his seasonal numbers took a dive with a poor second half.

Kolten Wong PA HR R RBI SB AVG OBP SLG wOBA wRC+ WAR
2015 613 11 71 61 15 0.262 0.321 0.386 0.310 96 2.3

John Fleming recently took an interesting look at young second basemen to look for the elite players and whether Kolten Wong could emerge from the group. I took a look at the possibility of Kolten Wong in the leadoff spot should Matt Carpenter be moved down in the order, and Ben Markham looked at the potential for a breakout.

His FanGraphs player page with Steamer projection can be found here while the Cardinals ZiPS can be found here.

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VEB is definitely bullish on Wong this season, although none of the numbers vastly exceed the rest of the projections.

Second Editor's Note: After a brief discussion in the comments regarding me asking you to try and calculate WAR and the difficulty with that task, as well as the possibility of high number skewing the results, I have decided, for the purposes of these projections, to eliminate the highest and lowest 7.5% of WAR predictions and go with the average of the middle 85%.

Here is what you had to say:

wong projections

Thanks again for all your help. Here is a link to the spreadsheet with all answers.