How Well Did Computers Predict Jenrry Mejia’s 2014 Season?

As we head down the pipe to Pitchers and Catchers, Spring Training, Spring Training Games and the 2015 season, computers are rolling out 2015 projections on how every player will perform. Before getting a 2015 preview, at 213 Miles From Shea we wanted to see how the computers handled 2014.

I’m not sure how much we’ll get out of reviewing Jenrry Mejia’s projections vs actual numbers because at the start of the season, it looked like Mejia was going to be a starter and he was for the first part of the season before be switched into the bullpen. Anyway here are his numbers:

2014 Projections:

ESPN: 23 G, 20 GS, 114.0 IP, 39 BB, 71 K, 7 W, 3.79 ERA, 1.33 WHIP
MLB: 105.0 IP, 5-5, 37 BB, 90 K, 3.86 ERA, 1.35 WHIP
Steamer: 35 G, 5 GS, 4-3, 59.0 IP, 3.57 ERA
Oliver: 19 G, 13 GS, 4-4, 72.0 IP, 4.11 ERA
PECOTA: 23 G, 23 GS, 122.0 IP, 6-11.3, 46 BB, 90 K, 4.45 ERA, 1.38 WHIP

Average: 17 G, 15 GS, 94.4 IP, 5.2-5.8, 40.6 BB, 83.6 K, 3.96 ERA, 1.35 WHIP

2014 Actual:
63 G, 7 GS, 93.2 IP, 6-6, 41 BB, 98 K, 3.65 ERA, 1.48 WHIP, 28 SV

Surprisingly, the numbers are comparable! Outside of the start to relief splits, he had similar innings pitched, records, and walks. He crushed the amount of strikeouts and and ERA but his WHIP was considerably higher than projections. Ultimately, this was a great year for Mejia that would have been impossible for a computer to predict as his numbers last winter were calculated as a starter.

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How Well Did Computers Predict Ruben Tejada’s 2014 Season?

As we head down the pipe to Pitchers and Catchers, Spring Training, Spring Training Games and the 2015 season, computers are rolling out 2015 projections on how every player will perform. Before getting a 2015 preview, at 213 Miles From Shea we wanted to see how the computers handled 2014.

Heading into 2015, Ruben Tejada looks to be the back up Shortstop behind Wilmer Flores. Ruben had back to back good seasons in 2011 and 2012, with the latter being a near breakout season. He slid in 2013. Below is what the computers projected would happen in 2014 followed by his actual results:

2014 Projections:

ESPN: 437 AB, 48 R, 1 HR, 30 RBI, 4 SB, .259 BA, .313 OBP, .323 SLG
MLB: 477 AB, 60 R, 3 HR, 44 RBI, 4 SB, .273 BA, .328 OBP, .354 SLG
Steamer: 524 PA, 50 R, 3 HR, 38 RBI, 6 SB, .260 BA, .317 OBP, .339 SLG
Oliver: 600 PA, 54 R, 2 HR, 44 RBI, 6 SB, .239 BA, .291 OBP, .305 SLG
PECOTA: 525 PA, 473 BA, 46 R, 3 HR, 41 RBI, 4 SB, .247 BA, .301 OBP, .320 SLG

Average: 549 PA, 463 AB, 51.6 R, 2.4 HR, 39.4 RBI, 4.8 SB, .256 BA, .310 OBP, .328 SLG

2014 Actual:
419 PA, 355 AB, 30 R, 5 HR, 34 RBI, 1 SB, .237 BA, .342 OBP, .310 SLG

Ruben’s numbers are interesting on a number of levels. His homers were way up over his projections in over 100 less AB’s, yet his slugging percentage 18 points lower in reality. His batting average was way down from projections, but his OBP was way above. None of this points towards Tejada being a viable candidate currently for starting shortstop but it does point to models not being able to figure him out in 2014.

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How Well Did Computers Predict Juan Lagares’s 2014 Season?

As we head down the pipe to Pitchers and Catchers, Spring Training, Spring Training Games and the 2015 season, computers are rolling out 2015 projections on how every player will perform. Before getting a 2015 preview, at 213 Miles From Shea we wanted to see how the computers handled 2014.

In what feels like a century ago, Terry Collins was debating an Outfield lineup that had Lagares in a rotation, with concerns for his bat. Many people, myself included, feel that Juan Lagares needed to be in the lineup every day, so we poured over projections. Let’s see how the projections did and how they compared to his actual states:

2014 Projections:

ESPN: 258 AB, 24 R, 3 HR, 20 RBI, 6 SB, .240 BA, .281 OBP, .345 SLG
MLB: 370 AB, 40 R, 4 HR, 28 RBI, 8 SB, .249 BA, .303 OBP, .351 SLG
Steamer: 428 PA, 39 R, 6 HR, 39 RBI, 9 SB, .254 BA, .295 OBP, .365 SLG
Oliver: 600 PA, 64 R, 6 HR, 53 RBI, 13 SB, .259 BA, .297 OBP, .355 SLG
PECOTA: 440 PA, 411 AB, 46 R, 5 HR, 35 RBI, 9 SB, .249 BA, .285 OBP, .354 SLG

Average: 489 PA, 346 AB, 42.6 R, 4.8 HR, 35 RBI, 9 SB, .250 BA, .292 OBP, .354 SLG

2014 Actual:
452 PA, 416 AB, 46 R, 4 HR, 47 RBI, 13 SB, .281 BA, .321 OBP, .382 SLG

Lagares stepped up last year and showed that his bat, although lacking homer power, had some pop, could drag out hits and complement his glove. His averages were all considerably better than projections. I’m curious to see how the 2015 projections feel he will do.

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Have the Mets Ever Done what the Red Bulls are about to?

Last year I wrote about how the Red Bulls do things for season ticket holders that the Mets should emulate, like adding value onto our cards (Red Bull season tickets are on credit card) or providing actual perks like games added to our schedules. This came out of multiple days last year where fans walking up to Citi Field day of ended up paying considerably less for the same or better seats then season ticket holders.

If you follow the MLS, then you know this has not been a good week for the Metrostars (once again, if you don’t follow the MLS, this is the old name for the Red Bulls franchise) supporters. Loved player turned maybe one of the better coaches in team history, Mike Petke, who brought home the only trophy in team history, who brought the team to the conference finals last year was sacked this week and there really isn’t a good explanation why.

Fans have gone almost nuclear (I have gone almost nuclear over this).

Last night I received an email from the Red Bulls saying they are going to have a Town Hall meeting with the GM and some of the new coaching staff next Friday for 300 season ticket holders to address staffing and direction of the team concerns. I know that this will end up just being a propaganda event however, it’s nice that they will possibly engage us directly on these concerns. Before I jump out and say, “Hey! The Mets should have done that! Especially with Madoff scandal several years ago!”, have done this? Maybe they did and I missed it. If they haven’t, it’s a great idea.

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How Well Did Computers Predict Lucas Duda’s 2014 Season?

As we head down the pipe to Pitchers and Catchers, Spring Training, Spring Training Games and the 2015 season, computers are rolling out 2015 projections on how every player will perform. Before getting a 2015 preview, at 213 Miles From Shea we wanted to see how the computers handled 2014.

Yesterday we looked at Ike Davis’s preseason prediction and compared it to his actual season. Lucas Duda had the opposite season posting breakout numbers, especially once he got the starting job. So, how did the computers do for Duda? Let’s take a look:

2014 Projections:

ESPN: 346 AB, 45 R, 13 HR, 44 RBI, 1 SB, .249 BA, .357 OBP, .408 SLG
MLB: 400 AB, 50 R, 15 HR, 55 RBI, 3 SB, .245 BA, .345 OBP, .403 SLG
Steamer: 342 PA, 37 R, 11 HR, 39 RBI, 2 SB, .237 BA, .334 OBP, .404 SLG
Oliver: 600 PA, 65 R, 18 HR, 65 RBI, 3 SB, .217 BA, .327 OBP, .372 SLG
PECOTA: 331 PA, 287 AB, 38 R, 12 HR, 42 RBI, 1 SB, .239 BA, .333 OBP, .415 SLG

Average: 424 PA, 344 AB, 47 R, 13.8 HR, 49 RBI, 2 SB, .237 BA, .320 OBP, .404 SLG

2014 Actual:
596 PA, 514 AB, 74 R, 30 HR, 92 RBI, 3 SB, .253 BA, .349 OBP, .481 SLG

It is easy to dismiss the computer projections because they predicted Duda to be in a platoon the entire season, and that wasn’t the case at all, so of course Duda would put up Runs, Homers and RBIs above the projections. The computer models failed heavily on the averages. Duda hit way better for average, had a significant bump in OBP and his slugging jumped way up. Ultimately, Duda experienced a breakout that the average of the projections did not see. No projections were even close, except ESPN and MLB were close on BA and OBP.

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Mets in the ESPN Top 250 Fantasy Players

All things being equal, in a list of top 30 players  in the league, each team should have between 8-9 players on the list and a player appearing every 30 spots or so. Below is a list of the players that made the updated top 250 list over at ESPN with their position number:

84. Matt Harvey
87. David Wright
111. Jacob deGrom
127. Daniel Murphy
137. Lucas Duda
169. Zack Wheeler
193. Curtis Granderson
221. Michael Cuddyer

The Mets are on the lower end of the 8-9 players on the list, but they got 8. They missed players in top 80 spots, but a lot of players are grouped together. Honestly though, on fantasy rankings, I haven’t seen Mets ranked like this since Jose Reyes / David Wright Team to Beat Days, so this is nice.

In addition to the above:

Travis d’Arnaud is the 15th best catcher
Lucas Duda is the 19th best first basemen
Daniel Murphy is the the 10th best second basemen
David Wright is the 9th best third basemen
Curtis Granderson is the 54th best outfielder
Michael Cuddyer is the 61st best outfielder
Juan Lagares is the 82nd best outfielder
Matt Harvey is the 21st best starting pitcher
Jacob deGrom is the 28th best starting pitcher
Zack Wheeler is the 43rd best starting pitcher
Jon Niese is the best 76th best starting pitcher
Jenrry Mejia is the 35th best reliever*
Jeurys Familia is the 39th best reliever
Bobby Parnell is the 45th best reliever

*Jenrry Mejia rankings are hurt because he is also listed as a starter, actually the 72nd starter.

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How Well Did Computers Predict Ike Davis’s 2014 Season?

As we head down the pipe to Pitchers and Catchers, Spring Training, Spring Training Games and the 2015 season, computers are rolling out 2015 projections on how every player will perform. Before getting a 2015 preview, at 213 Miles From Shea we wanted to see how the computers handled 2014.

Ike Davis is no longer on the Mets but I’m curious to see what the computers thought Davis would be able to do at the start of the season. As a primer in case you forgot for some odd reason, Davis and Duda were in a competition for a starting job, Davis struggled and was traded away. Duda on the other hand had a breakout season.

2014 Projections:

ESPN: 441 AB, 64 R, 20 HR, 71 RBI, 2 SB, .234 BA, .339 OBP, .422 SLG
MLB: 400 AB, 50 R, 15 HR, 55 RBI, 3 SB, .245 BA, .345 OBP, .403 SLG
Steamer: 409 PA, 47 R, 17 HR, 52 RBI, 2 SB, .238 BA, .340 OBP, .439 SLG
Oliver: 600 PA, 68 R, 22 HR, 72 RBI, 3 SB, .216 BA, .327 OBP, .398 SLGPECOTA: 472 PA, 410 AB, 57 R, 19 HR, 64 RBI, 2 SB, .236 BA, .330 OBP, .428 SLG

Average: 493.7 PA, 417 AB, 57.2 R, 18.6 HR, 62.8 RBI, 2.4 SB, .234 BA, .336 OBP, .418 SLG

2014 Actual:
427 PA, 360 AB, 43 R, 11 HR, 51 RBI, 0 SB, .233 BA, .344 OBP, .378 SLG

The only area where Davis and the computer matched was the batting average, and the computer underestimated his ability to get on base (slightly-and it it still isn’t great). However Davis was needed for power and the computer predicted he would slide, partially due to a slide in playing time. In reality Davis’s power numbers went into a sharp decline with a slugging considerably lower than the computer prediction. Tomorrow we’ll look at Lucas Duda’s 2014 vs what the computers thought!

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How Well Did Computers Predict Travis d’Arnaud’s 2014 Season?

As we head down the pipe to Pitchers and Catchers, Spring Training, Spring Training Games and the 2015 season, computers are rolling out 2015 projections on how every player will perform. Before getting a 2015 preview, at 213 Miles From Shea we wanted to see how the computers handled 2014.

In part 4 of our series, we look at d’Arnaud who had two very different seasons last year. He was dreadful for the first half of the year, went down to the minors, and when he returned he was amazing, putting him in a position for a breakout season next year. While the projections don’t go into details regarding streaks, how well did they do at his season as a whole? Let’s start by looking at what the predicted he would be able to do:

2014 Projections:

ESPN: 414 AB, 46 R, 12 HR, 45 RBI, 1 SB, .239 BA, .325 OBP, .389 SLG
MLB: 380 AB, 44 R, 8 HR, 46 RBI, 1 SB, .263 BA, .346 OBP, .368 SLG
Steamer: 428 PA, 44 R, 13 HR, 49 RBI, 2 SB, .254 BA, .320 OBP, .418 SLG
Oliver: 600 PA, 65 R, 16 HR, 70 RBI, 2 SB, .241 BA, .312 OBP, .397 SLG
PECOTA: 489 PA, 441 AB, 55 R, 16 HR, 58 RBI, 1 SB, .250 BA, .315 OBP, .414 SLG

Average: 505.7 PA, 411.7 AB, 50.8 R, 13 HR, 53.6 RBI, 1.4 SB, .249 BA, .324 OBP, .397 SLG

2014 Actual:
421 PA, 385 AB, 48 R, 13 HR, 41 RBI, 1 SB, .242 BA, .302 OBP, .416 SLG

The computers were pretty accurate for d’Arnaud as they were either right on, slightly above or slightly below. Ultimately the difference between the projections and the actual were the computers thought d’Arnaud would have more AB’s and hit for a similar amount of power, which means in reality his slugging ended up being higher. Here’s hoping that the computers continue an accurate outlook for d’Arnaud and predict a big season!

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The Hall Process Is Flawed, But You Already Knew That (Catchers, Relief Pitchers and Race)

Especially if you are a Mets fan.

The Hall process is flawed. It is great to hold players to a high bar, it should be the Hall of Fame, for players that are above great, not just the very good.

For example, as much as I love Carlos Delgado, he won’t be in the hall of fame. He is very good. Not one of the greatest of all time.

But over the last couple of years, my favor for the hall of fame has wavered, especially when Ballot Holders like Rob Parker who called Piazza a very good player, not a great. He later went on to say that a benchmark for players is to hit 500 homers.  The automatic retort to this would be that it is so much more difficult for catchers to hit that benchmark. They are often injured, have to take more off-days than their counterpart and really get beat up throughout the season. The contract that Russel Martin got this off-season is a great example of this. He is a career .259 hitter, had a .290 season last year and has 119 HR in his career. He got an 80+ million dollar contract from the Blue Jays this year because offense is so difficult to find as a catcher.

Piazza, Bench, Berra cannot be held to the same standards as outfielders or first basemen in terms of offense.

In 10-15 years, we are going to have another situation like catchers (and shortstops) for pitchers. More and more relievers are going to start cropping up into the Hall of Fame area. The magic numbers will not work for arms out of the pen, just like how most bat magic numbers don’t work for catchers.

In defense of Rob Parker, he also brings up another area of reform for the vote. He explains in order to get a vote, you need to cover baseball for 10 consecutive seasons. That’s incredibly tough and that doesn’t necessarily mean that you understand baseball. Adding to that, in the age of the internet, what does it mean to cover a baseball team? I’m not arguing for a ballot for myself (although I’ve been doing this around 7 years) but someone like Matt Cerrone. Does he ever get a vote? He’s baseball intelligent!

Rob Parker also brings up another key point, there are only 10 African Americans with votes. This is an argument about institutionalized racism as well. It isn’t an overt, “you’re black so you don’t get a vote” but that is only type of racism. Institutionalized, systematic racism works within the systems that have been built over time. To get a vote, a writer needs to be a long time writer covering baseball in a position that is historically white and male. The diversity within the Hall of Fame voting block is not at all an accurate representation of America, and while baseball at times can be progressive, the voting block demographic and how you become a member can keep regressive thoughts in place.

I don’t how to reform the hall, but a conversation needs to come up to talk about these points.

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How Well Did Computers Predict Curtis Granderson’s 2014 Season?

As we head down the pipe to Pitchers and Catchers, Spring Training, Spring Training Games and the 2015 season, computers are rolling out 2015 projections on how every player will perform. Before getting a 2015 preview, at 213 Miles From Shea we wanted to see how the computers handled 2014.

In part three of our series we look into the Mets big 2013/2014 off-season acquisition, Curtis Granderson.

2014 Projections:
ESPN: 549 AB, 87 R, 24 HR, 73 RBI, 14 SB, .233 BA, .323 OBP, .426 SLG
MLB: 549 AB, 86 R, 28 HR, 88 RBI, 13 SB, .242 BA, .329 OBP, .450 SLG
Steamer: 581 PA, 71 R, 24 HR, 68 RBI, 11 SB, .228 BA, .320 OBP, .429 SLG
Oliver: 600 PA, 71 R, 19 HR, 66 RBI, 12 SB, .220 BA, .306 OBP, .390 SLG
PECOTA: 610 PA, 532 AB, 79 R, 26 HR, 82 RBI, 15 SB, .229 BA, .315 OBP, .434 SLG

Average: 597 PA, 543.3 AB, 78.8 R, 24.2 HR, 75.4 RBI, 13 SB, .230 BA, .319 OBP, .426 SLG
2014 Actual:
654 PA, 564 AB, 73 R, 20 HR, 66 RBI, 8 SB, .227 BA, .326 OBP, .388 SLG

There was hope at the start of the season that Granderson would be able to outperform his projections. The average of the projections got his BA and OBP pretty much right, but he had more of a power decline than originally thought seen through his SLG, homers, and RBI’s. Usually computers underestimate a player’s season, but Granderson actually performed below those numbers.

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