NERD Scores Return with Something Not Unlike a Vengeance

As of 1997, when the the author visited the latter, just the Great Wall of China and Fresh Kills landfill in Staten Island shared the distinction of being the only man-made structures visible from space. Visible from space neither then nor now — and also made by what the author’s wife regards as “half a man at best” — are the NERD scores one finds below.

Devised originally in response to a challenge issued by viscount of the internet Rob Neyer, and expanded at the request of nobody, NERD scores represent an attempt to summarize in one number (on a scale of 0-10) the likely aesthetic appeal or watchability, for the learned fan, of a player or team or game.

NERD for Pitchers: Leaderboard and Formula
Leaders and Laggards
Here are the leaders thus far by pitcher NERD (minimum 20 IP as starter):

Name NERD xFIP- SwStrk Strk Velo Age Pace Luck KN
Jose Fernandez 10 2.72 2.43 1.32 1.90 1.84 1.73 0.60 0.00
Stephen Strasburg 10 2.11 2.13 0.86 1.35 0.86 -0.07 1.00 0.00
Masahiro Tanaka 10 2.41 2.47 1.86 0.24 0.86 -1.32 0.05 0.00
Michael Wacha 10 1.24 1.35 0.75 0.88 1.35 1.73 0.00 0.00
Ervin Santana 10 2.01 2.77 0.94 0.53 0.00 0.43 0.00 0.00
Yordano Ventura 10 0.68 1.31 0.12 2.46 1.35 0.94 0.00 0.00
Zack Greinke 10 2.47 1.27 0.45 0.00 0.00 -1.15 1.00 0.00
Nathan Eovaldi 10 0.83 0.19 1.71 2.07 1.11 0.83 0.00 0.00
Alex Wood 10 1.55 1.05 1.11 0.00 1.35 1.05 0.00 0.00
Cliff Lee 10 1.55 0.24 2.14 0.00 0.00 1.11 1.00 0.00

And here, not for nothing, are the laggards by that same measure:

Name NERD xFIP- SwStrk Strk Velo Age Pace Luck KN
Paul Maholm 0 -2.03 -1.70 -1.91 0.00 0.00 0.55 0.35 0.00
Scott Feldman 0 -1.52 -1.78 -0.16 0.00 0.00 -1.60 0.00 0.00
Kevin Correia 0 -1.77 -1.91 -0.63 0.00 0.00 -1.26 1.00 0.00
A.J. Burnett 0 -1.21 -0.71 -1.85 0.00 0.00 -1.26 0.00 0.00
Hector Santiago 0 -1.47 -1.82 -1.60 0.06 0.62 -0.53 0.00 0.00
Miguel Gonzalez 0 -1.36 -0.84 -0.82 0.00 0.00 -0.58 0.15 0.00
John Danks 0 -1.82 -0.11 -1.02 0.00 0.00 1.22 0.00 0.00
Ubaldo Jimenez 0 -1.82 -1.52 -1.13 0.00 0.00 0.77 1.00 0.00
Bronson Arroyo 1 -1.87 -1.74 0.15 0.00 0.00 0.77 1.00 0.00
Kyle Gibson 1 -1.06 -1.27 -1.87 0.00 0.62 -0.02 0.00 0.00

Formula
The formula for pitcher NERD remains largely unchanged since last season — with the exception that ERA and xFIP have been replaced by park-adjusted ERA and xFIP (i.e. ERA- and xFIP-) for Greatest Precision. Below are the components included in its calculation:

• xFIP-
• Swinging-Strike Rate (SwStrk)
• Strike Rate (Strk)
• Velocity (Velo)
• Age
• Pace
• ERA- minus xFIP- (Luck)
• Knuckleball Rate (KN)

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And here’s the formula itself:

(zxFIP- * 2) + (zSwStrk / 2) + (zStrk / 2) + zVelo + zAge + (zPace / 2) + (Luck / 20) + (KN * 5) + Constant

Notes
• Any variable preceded by a z represents the z-score — or standard deviations from the mean — of the relevant metric. The population used for determining the mean in this case includes all pitchers who’ve thrown 20 innings as a starter.

• Players are never assessed negative, but only positive, scores for Velo, Age, and Luck. Any number that would be below zero is simply rendered as zero. Note that Velo and Age are capped at 2.0; Luck, at 1.0. For science reasons.

• The constant at the moment is about 3.8.

NERD for Teams: Leaderboard and Formula
Leaderboard
Here’s the complete leaderboard for team NERD. A discussion of the components of, and formula for, team NERD follow below:

Teams NERD Bat HR% BsR Bull Def Pay Age Luck
Angels 10 1.12 2.38 1.78 0.19 1.14 0.00 0.00 0.74
Rockies 9 1.05 0.66 0.34 -0.05 1.74 0.73 1.32 0.00
Braves 9 0.00 1.49 0.28 2.23 2.27 0.26 0.54 0.00
Marlins 9 0.17 0.30 1.06 -0.68 0.64 1.55 1.32 0.39
Pirates 8 -1.06 1.20 1.50 0.11 -0.04 0.53 0.54 1.60
Rays 7 0.57 -0.22 0.62 -0.68 0.45 0.88 0.00 1.04
Brewers 7 0.22 0.28 -0.32 2.62 1.02 0.53 0.00 0.00
Astros 6 -1.73 0.79 -0.21 -0.52 -1.88 1.62 2.09 1.03
Giants 6 0.09 1.75 -0.55 0.81 -0.39 0.00 0.00 0.00
Dodgers 5 0.42 0.66 -0.55 0.11 0.84 0.00 0.00 0.23
Twins 5 0.69 -0.11 0.17 -0.29 -1.03 0.58 0.54 0.00
Athletics 5 1.50 0.87 -1.98 0.58 -0.84 0.85 0.00 0.00
Indians 5 -0.29 -0.79 1.11 0.26 -1.29 0.60 0.00 0.81
Blue Jays 5 -0.03 0.79 0.01 -0.60 0.24 0.00 0.00 0.33
Nationals 5 0.66 0.31 -0.93 1.13 -0.53 0.00 0.54 0.00
Mariners 5 -1.85 0.25 -0.71 -0.44 0.79 0.68 1.32 0.93
Yankees 5 0.13 -0.57 1.28 0.03 -0.69 0.00 0.00 0.00
Cubs 4 -1.81 -0.34 0.73 -1.15 0.30 0.09 0.54 1.51
Reds 4 -0.29 -0.58 0.06 -1.86 1.96 0.06 0.00 0.68
Tigers 3 0.25 -0.12 -0.32 0.11 -0.85 0.00 0.00 0.00
Red Sox 3 -0.33 -0.08 -1.37 1.13 -0.81 0.00 0.00 1.01
Orioles 3 -0.32 -1.05 0.23 -0.21 -0.39 0.18 0.54 0.00
D-backs 3 -1.56 -0.81 -0.93 0.42 -0.26 0.44 0.00 2.00
Rangers 3 -0.07 -1.36 0.84 -0.60 0.11 0.06 0.00 0.00
White Sox 3 0.53 0.47 -1.71 -1.93 -0.91 0.00 1.32 0.00
Padres 3 -2.11 -1.05 0.84 0.03 0.74 0.75 0.00 0.38
Mets 3 -1.96 -1.16 1.44 -0.60 0.72 0.60 0.00 0.00
Royals 3 -1.37 -1.79 -0.55 1.13 1.35 0.55 0.54 0.00
Phillies 2 -0.36 -0.76 -0.55 -0.91 -0.06 0.00 0.00 0.00
Cardinals 1 -1.08 -1.38 -1.59 -0.36 0.19 0.10 0.54 0.00

Formula
The formula for team NERD — and that formula’s assorted variables — are all below.

Here are the components included in its calculation:

• Park-Adjusted Batting Runs Above Average (Bat)
• Park-Adjusted Home Run Rate (HR%)
• Baserunning Runs (BsR)
• Bullpen xFIP (Bull)
• Defensive Runs (Def)
• Payroll, Where Below Average Is Better (Pay)
• Batter Age, Where Younger Is Better (Age)
• Expected Wins, Per WAR, Minus Actual Wins (Luck)

And here’s the formula for team NERD:

zBat + zHR% + zBsR + (zBull / 2) + (zDef / 2) + zPay + zAge + (Luck / 2) + Constant

Notes
• As with pitcher NERD, any variable preceded by a z represents the z-score of the relevant metric — in this case, relative to averages for the whole league.

• Teams are never assessed negative, but only positive, scores for Pay, Age, and Luck. Any number that would be below zero is simply rendered as zero. Note that Luck is capped at 2.0.

• The constant for team NERD is currently at about 4.0.

Today’s Highest-Rated Game
Cleveland at Los Angeles AL | 22:05 ET
Justin Masterson (28.0 IP, 87 xFIP-, 0.3 WAR) faces Tyler Skaggs (28.0 IP, 100 xFIP-, 0.4 WAR). With regard to the Angels, it would appear as though their poor-ish record at the moment (11-13) has little to do with the quality of the club’s field players. To wit: they’re second in the majors by park-adjusted hitting (113 wRC+) and first overall in batter WAR (6.2). The club’s starting pitchers, meanwhile, have skewed decidedly more mediocre.

Readers’ Preferred Broadcast: Cleveland Radio.

Today’s MLB.TV Free Game
Oakland at Texas | 20:05 ET
Sonny Gray (32.0 IP, 84 xFIP-, 0.8 WAR) faces Yu Darvish (28.0 IP, 91 xFIP-, 1.1 WAR). Of note regarding the latter: while, for much of last year, his overall excellence more than compensated for his very slow pace, that’s less so the situation thus far in 2014. Neither Darvish’s park-adjusted xFIP (91 xFIP-) nor his swinging-strike rate (9.7%) are even half a standard deviation better than average.

Readers’ Preferred Broadcast: Texas Radio.

Complete Schedule
Here’s the complete schedule for all of today’s games, with our very proprietary watchability (NERD) scores for each one. Pitching probables and game times aggregated from MLB.com and RotoWire.

Note: the following table is entirely sortable.

NERD Thing

Away   SP Tm. Gm. Tm. SP   Home Time
Jeff Samardzija CHN 5 5 4 4 3 CIN Alfredo Simon 19:10
Sonny Gray OAK 6 5 5 3 5 TEX Yu Darvish 20:05
Jake Odorizzi* TB 7 7 5 3 3 CHA Andre Rienzo* 20:10
Yovani Gallardo MIL 2 7 6 1 10 STL Michael Wacha 20:15
Franklin Morales COL 3 9 5 3 6 AZ Wade Miley 21:40
Justin Masterson CLE 7 5 6 10 4 LAA Tyler Skaggs 22:05
Tyson Ross SD 5 3 6 6 7 SF M. Bumgarner 22:15

To learn how Game NERD Scores are calculated, click here.
* = Fewer than 20 IP, NERD at discretion of very handsome author.





Carson Cistulli has published a book of aphorisms called Spirited Ejaculations of a New Enthusiast.

28 Comments
Oldest
Newest Most Voted
Climbing The Wall
12 years ago

NERD scores warm my heart and feed my soul.

Andrew
12 years ago

And the Masses Rejoiced

Sloth
12 years ago

Sloth loves Grichuk.

Remus
12 years ago

What does payroll have to do with how nice a game is to watch?

Nick
12 years ago
Reply to  Remus

Star appeal. Like watching a movie with a big budget compared to small one.

Remus
12 years ago
Reply to  Nick

Which would make total sense, however:

“Payroll, Where Below Average Is Better (Pay)”

Matthew Murphy
12 years ago
Reply to  Nick

Actually, lower budget is better, so it’s really “underdog appeal”. As in, there’s a bit of extra fun when watching a team like the Rays, A’s, or Pirates try to defy the odds despite low payrolls.

Kevin
12 years ago
Reply to  Matthew Murphy

I think there’s also an element of big payroll teams are over represented in easy to find media coverage.
So if you want to see what the Rays, Royals, Astros…whoever…are up to, watch ’em yourself. At least that’s how I tend to think of it.

I also think of it this way. Assuming equal talent, who would you rather watch…a $200m payroll or a $60m?..an under-achieving lot or over-achievers?

Josh Bard
12 years ago

[(System) x (Yu Darvish = Tyson Ross)] = worthless

SSS
12 years ago
Reply to  Josh Bard

SSS

Josh Bard
12 years ago
Reply to  SSS

Irrelevant. 99 times out of 100 a ticket buyer will prefer to see Yu over Ross. And 99/100 TV viewers will watch Yu. Author is apparently that 1 buyer/viewer.

Tribe Fan in SF
12 years ago
Reply to  Josh Bard

There’s a whole bunch of math up there. This isn’t just a random opinion. Based on the formula and the results, right now, this is how it’s coming out. You are welcome to watch whichever game you prefer.

atoms
12 years ago
Reply to  Josh Bard

Wait, so you’re saying that 1% of the population are Padres fans and/or relatives of Tyson Ross? Or are you just rounding up? 🙂

HJR
12 years ago

BOOM!

Lawyered.

Josh Bard
12 years ago
Reply to  HJR

Yep, totally…lawyered

Richard
12 years ago

Anyway we can give tomorrows Fernandez vs Wood: Round 2 a score of about a bajillionty?

Greg GoldenMember since 2016
12 years ago

Simon at a 3? Does the formula not account for violent felony arraignments?

tehzachatak
12 years ago

What scale is xFIP- on? I thought it was on the same scale as xFIP, but if so, your “laggards” leaderboard for pitchers would seem to indicate that, in fact, Paul Maholm is having perhaps the greatest season in pitching history so far.

Kris
12 years ago
Reply to  tehzachatak

Looks to be a zscore. A negative zscore wrt xFIP- is not good.

Merlin90
12 years ago

I’d love to be able to see the readers’ preferred broadcast incorporated into the table somehow. I mean, I know I can go and refer to the appropriate page, but it would be kinda nice to see it at a glance.

Anyway, welcome back, NERD.

Gabes
12 years ago

“For Science Reasons”

James
12 years ago

I realize this wasn’t the point, but you you simply cannot see the Great Wall from space. You can even barely see it from 30 miles up. Go ahead and pull it up on Google Earth to see for yourself. I’ll wait.

Think about it – walls are thin. Thin things are hard to see from far away. But you know what is incredibly easy to see from far away? Giant cities with large surface areas. While you may not be able to identify distinct buildings, it’s incredibly apparent looking at the earth where Beijing is while the Great Wall is a tiny thin line.

Anyway, NERD scores! Fun!

Well-Beered Englishman
12 years ago

Is it coincidence or conspiracy that there are exactly 10 pitchers with NERD scores of 10?

Jay29Member since 2025
12 years ago

NERRRRRRRRRRDS!

Corey Kluber
12 years ago

Happy to see these come back just in time for my start tomorrow!

jrubyMember since 2026
12 years ago

“Nerd scores return with…

– a reprisal”
– a requital”
– an absence of forgiveness”
– a virulence”
– a paying back, of past transgressions”

Jamesbonds69
10 years ago

It would be helpful to all aspiring ‘Nerds’ if when one puts the cursor over an Abbreviation that a simple explanation (or formula)that all can understand pops up.
This is done on ‘FanFacts’ so why not here?