How the SBa Stacks Up to the MLB: Part 1

We frequently debate how "realistic" our league is compared to the MLB.  I hunted down the all time stats for the MLB and compared them to the first three seasons that we've put together to see just how realistic things are.  

Part 1 of the comparisons will be between each SBa season and the MLB season that the cards are based on.  So it'll be 2018 for S1 and 2019 for S2 and S3.  I'll do a S4 comparison when the season ends (don't hold me to that).  

Everything is normalized to a per team, per-162 game rate for easier comparison.  I'll also share the data for anyone to poke around once this is finished.

Starting with S1 vs 2018 MLB, here's what we have:
Batting Stats

YearTmsPAABRH2B3BHRRBISBCSBBSOBAOBPSLGOPSHBPIBB
20183061715514721136727528186687823252313740.2480.3180.4090.7286431
S11259975406606125426038175568742845714490.2320.2950.3910.6876025

Pitching Stats

YearIPHRERSOBBHBPWPHRSVWHIPERA
20181449136772166713735236462186411.304.14
S1145612636195851473474613164331.193.62

At a glance, Season 1 team batting stats come in below MLB averages across the board.   S1 was definitely a pitcher's year looking at batting stats.  The average S1 team would have finished last in hits, batting average and OBP, and near the bottom of the league in runs, walks, SLG, and OPS.  The average S1 team would easily be a top 5 MLB pitching staff.

Now as for whether these numbers are realistic.  This is where I probably make a mistake with statistics but here we go.  I found the standard deviations for each statistic using MLB team stats for the season.  The percentile of each stat within the MLB distribution was found using a normal distribution.  For simplicity we'll say a "realistic" value is between the 25th and 75th percentile, or +/- one quartile.  (A percentile of 50% would be MLB average)

Batter Stats

StatValueMLB AvgPercentileRealistic?
PA599761714%No
AB540655142%No
R6067216%No
H125413673%No
2B26027530%Yes
3B382886%No
HR17518636%Yes
RBI5686875%No
SB748237%Yes
CS283226%Yes
BB45752314%No
SO1449137479%No
BA0.2320.2484%No
OBP0.2950.3183%No
SLG0.3910.40921%No
OPS0.6870.72811%No
HBP606440%Yes
IBB253132%Yes

Pitcher Stats

YearS1MLBPercentileRealistic?
IP1456145067%Yes
H1263136712%No
R61972111%No
ER58566814%No
SO1473137477%No (barely)
BB47452322%No (barely)
HBP616438%Yes
WP3620%No
HR16418616%No
SV334113%No
WHIP1.191.3010%No
ERA3.624.1415%No

I personally enjoy the fact that S1 was just a tad heavy on 3B despite being so insanely low on the other hitting stats.  The hotly debated topic of stealing also turned out to be somewhat realistic despite some players having ridiculous numbers.  Turns out when your batters fare below average the pitching stats are gonna be busted too.  I'm gonna attribute any inconsistencies in stat totals to rounding.

S1 Verdict:
I'm gonna say S1 was unrealistic as a whole.  Pitchers OP pls nerf.

Moving into S2 and S3 stats, I'm hoping for a bit more normalcy with rules changes and the like.  Let's find out.

Batters:

YearPAABRH2B3BHRRBISBCSBBSOBAOBPSLGOPSHBPIBB
201962175555782140128426226749762853014270.2520.3230.4350.7586625
S262335516741135129438237699632051514510.2430.3160.4370.7536921
S363155648847144230439274813591552714900.2550.3290.4690.7987417

Pitchers:

YearIPHRERSOBBHBPWPHRSVWHIPERA
20191447140178272314275306660226391.334.49
S21458133975070214455216845229431.284.33
S31456143984879114925457554275371.364.89

At a glance, this looks a lot better.  Comparing the seasonal averages to the MLB as a whole puts S2 and S3 closer to the middle of the pack.  The S3 batting stats start to take off a bit but they still sit within a realm of possibility.  Let's see how the percentiles stack up.

S2 Batters:

Year2019S2PercentileRealistic?
PA6217623356%Yes
AB5555551632%Yes
R78274132%Yes
H1401135125%Yes
2B28429465%Yes
3B263895%No
HR22623761%Yes
RBI74969928%Yes
SB766331%Yes
CS282015%No
BB53051541%Yes
SO1427145159%Yes
BA0.2520.24320%No
OBP0.3230.31630%Yes
SLG0.4350.43753%Yes
OPS0.7580.75345%Yes
HBP666957%Yes
IBB252137%Yes

S2 Pitchers:

Year2019S2PercentileRealistic?
IP1447145878%No (barely)
H1401133926%Yes
R78275037%Yes
ER72370241%Yes
SO1427144556%Yes
BB53052144%Yes
HBP666856%Yes
WP604515%No
HR22622954%Yes
SV394370%Yes
WHIP1.331.2829%Yes
ERA4.494.3339%Yes

All I gotta say is wow.  Season 2 is almost entirely within the "realistic" realm.  Once again 3Bs are stupidly high, but the only other batting stats that are outside that range are CS and BA.  BA is pretty close to being realistic so that'd basically leave 3B and CS as the outliers.  Pretty good.  As for pitching stats, every one is within the realm of realism except for IP and WP.  Not sure what's up with WP, but maybe chaos needs to be increased?  IP is barely above the 75th percentile so that's not super far-fetched either.  

S2 Verdict:
Yeah S2 is pretty spot on for what can be considered a realistic season.  

S3 Batters:

Year2019S3PercentileRealistic?
PA6217631581%No
AB5555564886%No
R78284777%No
H1401144271%Yes
2B28430478%No
3B263997%No
HR22627488%No
RBI74981377%No
SB765926%Yes
CS28155%No
BB53052749%Yes
SO1427149072%Yes
BA0.2520.25561%Yes
OBP0.3230.32967%Yes
SLG0.4350.46988%No
OPS0.7580.79883%No
HBP667472%Yes
IBB251725%Yes

S3 Pitchers:

Year2019S3PercentileRealistic?
IP1447145673%Yes
H1401143965%Yes
R78284875%yes
ER72379178%No (barely)
SO1427149271%Yes
BB53054561%Yes
HBP667577%No (barely)
WP605433%Yes
HR22627596%No
SV393740%Yes
WHIP1.331.3660%Yes
ERA4.494.8976%No (barely)

S3 is a bit harder to judge than S2.  Batting stats are pretty even on realistic vs unrealistic and a lot of the ones that fall into the unrealistic category are pretty close to that 75th percentile.  Batting stats tend to run higher especially 3Bs (again, seriously), HR, and SLG.  Pitching stats, as a result, also are on the high side, albeit closer to that 75th percentile that we've been shooting for.  Oh hey and WPs are finally in a good range too.  

S3 Verdict:
S3 is in pretty good shape.  Things trend a bit higher than S2 but for the most part we're still in that realm of realism.  

Overall I think we've got a pretty realistic product here (which I hoped we would) from a purely statistical perspective.  Some takeaways I had are:

  • S1 SBs came in near MLB average despite the absurdness of pitcher holds.
  • We hit a lot of triples.
  • We've decidedly moved from pitcher friendly to batter friendly. I attribute this to custom park factors.

So there you have it.  Maybe some of the super specific stuff we have (like reliever heavy rotations and not limiting guys to what their cards say) isn't considered "realistic" but we're in a good spot relative to the MLB on the stats side.