My Ideal Metric - TOTAL bases

simplicio

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I haven't done this for each team no. That's a TON of data entry, which I don't have time for right now.

Ok...just did it for each team (not individual players per team, but each team) so far this year.

Top 5 teams in TTB:
1. LAD - 1,069
2. Phi - 1,008
3. NYY - 995
4. Mil - 992
5. Hou - 967

Bottom 5 teams in TTB:
32. ChW - 729
31. Tor - 792
30. Mia - 793
29. Col - 803
28. Sea - 839

TTB Boston: 937 (#6)

Top 5 teams in TTB/PA
1. LAD - .541
2. Phi - .535
3. Mil - .532
4. NYY - .523
5. Bal - .523

Bottom 5 teams in TTB/PA
32. ChW - .418
31. Mia - .431
30. Pit - .453
29. Col - .458
28. Det - .462

TTB/PA Boston: .502 (#9)

Top 5 teams in TTB/Out
1. LAD - .784
2. Mil - .768
3. Phi - .768
4. NYY - .745
5. Hou - .733

Bottom 5 teams in TTB/Out
32. ChW - .551
31. Mia - .575
30. Pit - .625
29. Col - .631
28. Tor - .636

TTB/Out Boston: .699 (#8)

Top 5 teams in TTB/R*
1. KC - 3.808
2. Cle - 3.840
3. Phi - 3.862
4. Ari - 3.949
5. Tex - 3.977

Bottom 5 teams in TTB/R
32. ChW - 5.170
31. Oak - 4.692
30. StL - 4.665
29. Tor - 4.578
28. Was - 4.564

TTB/R Boston: 4.318 (#24)

Top 5 teams in Runs scored
1. LAD - 262
2. Phi - 261
3. Mil - 244
4. NYY - 240
5. KC - 239

Bottom 5 teams in Runs scored
32. ChW - 141
31. Tor - 173
30. StL - 182
29. Oak - 185
28. Col - 186

Runs Boston: 217 (#12)

So Boston has gotten plenty of guys on base and has advanced them nicely, both well above league average. But they're struggling to get them in, which is why they're 24th in TTB per run. They have needed to acquire far more bases than most teams just to push a run across than the high scoring teams. Boston is 12th in runs scored, FWIW.

KC is interesting. They're #5 in MLB in runs scored, #11 in TTB, #11 in TTB/PA, #10 in TTB/Out, and #1 in TTB/R. That means that while they've been good in accumulating TTB and have good TTB/PA and TTB/Out rates, what's been their key is how efficient they've been in turning those bases into runs, being first in all MLB in TTB per run. No idea if that's just relatively small sample size or not, but they're really doing well there.


*TTB/R measures efficiency, meaning that a lower number means they're requiring fewer TTB to score a run
Are you posting from the future with two expansion teams, or are the present day White Sox so bad that they're actually placing 32nd out of 30? ;)
 

BaseballJones

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Are you posting from the future with two expansion teams, or are the present day White Sox so bad that they're actually placing 32nd out of 30? ;)
Hahaha great catch. For some reason in my mind I was thinking there were 32 MLB teams instead of 30. What a goof I am.
 

BaseballJones

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Betts vs. Ohtani (it's absurd that these two guys are on the same team)

Betts: 158 TTB, 0.684 TTB/PA, 1.153 TTB/out
Ohtani: 176 TTB, 0.779 TTB/PA, 1.275 TTB/out
 

LoLsapien

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Total bases per run is a really, really interesting stat. That's a very cool application of your new statistic.

It would be really interesting to see if there's sort of a BABIP equivalent, where the run creation efficiency is tied to luck moreso than skill or approach and TTB/R tends to normalize to a particular number over time.
 

BaseballJones

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Thanks Tuor and LoLsapien. I want to really work more on this and see if it is only descriptive or prescriptive - that is, does it have any predictive power or just explain what happened in the past?

My hypothesis is that people who accumulate a lot of bases - whether by getting on base, getting a bunch of bases at once (triples and homers), or on the base paths most help your team accumulate runs, and thus, wins. I know that's so basic to baseball, but I hadn't really seen it worked out like this before and I want to see where this can take me.
 

zenax

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Apr 12, 2023
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My hypothesis is that people who accumulate a lot of bases - whether by getting on base, getting a bunch of bases at once (triples and homers), or on the base paths most help your team accumulate runs, and thus, wins. I know that's so basic to baseball, but I hadn't really seen it worked out like this before and I want to see where this can take me.
While Duran is leading the Red Sox in extra-base hits and runs scored, he also has 48 more PA than the next closest teammate.
 

BaseballJones

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Update through June 3 (sorry I couldn't get to this right at the end of May):

83664

Team Leaders:

TTB:
1. Duran 151
2. Devers 130
3. Abreu 111
4. O'Neill 102
5. Rafaela 96

TTB/PA
1. Refsnyder 0.611
2. Devers 0.610
3. O'Neill 0.593
4. Casas 0.589
5. Abreu 0.587

TTB/Out
1. Refsnyder 1.023
2. Devers 0.922
3. Casas 0.869
4. Hamilton 0.857
5. Abreu 0.854
 

cantor44

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Dec 23, 2020
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Betts vs. Ohtani (it's absurd that these two guys are on the same team)

Betts: 158 TTB, 0.684 TTB/PA, 1.153 TTB/out
Ohtani: 176 TTB, 0.779 TTB/PA, 1.275 TTB/out
To reiterate an earlier thought of mine - what if what you have here was converted into 4 bases per 27 out rather than 1 base per 1 out? Obviously that's basically RC/27, but it gives you a stat relatable in game terms: how many runs per game does a player create per 27 outs they make. And you get the hitter equivalent of ERA. What's your feeling about that BaseballJones?
 

BaseballJones

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Oct 1, 2015
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To reiterate an earlier thought of mine - what if what you have here was converted into 4 bases per 27 out rather than 1 base per 1 out? Obviously that's basically RC/27, but it gives you a stat relatable in game terms: how many runs per game does a player create per 27 outs they make. And you get the hitter equivalent of ERA. What's your feeling about that BaseballJones?
I am sorry I didn't respond to this earlier. Please forgive me for that oversight on my part. That's a good idea. Here you go - the last two columns are added in now: TTB/27 outs, and then TTBR/27, which takes the TTB/27 and divides it by the MLB average of 4.22 TTB/R to get the true total base runs created per 27 outs.

83665

And here's some other people, past and current:

83666

Freaking 2001 Barry Bonds put up 54.00 true total bases per 27 outs, which translates to 12.80 true total base runs per 27 outs, which is just mind-boggling. Judge is having another monster season, by the way - not that we needed this silly metric to know that, but he's putting up nearly 8 total base runs per 27 outs, nearly three more per game than the #1 guy on the Sox (Devers).
 

cantor44

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I am sorry I didn't respond to this earlier. Please forgive me for that oversight on my part. That's a good idea. Here you go - the last two columns are added in now: TTB/27 outs, and then TTBR/27, which takes the TTB/27 and divides it by the MLB average of 4.22 TTB/R to get the true total base runs created per 27 outs.

View attachment 83665

And here's some other people, past and current:

View attachment 83666

Freaking 2001 Barry Bonds put up 54.00 true total bases per 27 outs, which translates to 12.80 true total base runs per 27 outs, which is just mind-boggling. Judge is having another monster season, by the way - not that we needed this silly metric to know that, but he's putting up nearly 8 total base runs per 27 outs, nearly three more per game than the #1 guy on the Sox (Devers).
Fantastic - thank you for this!
 

LoLsapien

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I am sorry I didn't respond to this earlier. Please forgive me for that oversight on my part. That's a good idea. Here you go - the last two columns are added in now: TTB/27 outs, and then TTBR/27, which takes the TTB/27 and divides it by the MLB average of 4.22 TTB/R to get the true total base runs created per 27 outs.

View attachment 83665

And here's some other people, past and current:

View attachment 83666

Freaking 2001 Barry Bonds put up 54.00 true total bases per 27 outs, which translates to 12.80 true total base runs per 27 outs, which is just mind-boggling. Judge is having another monster season, by the way - not that we needed this silly metric to know that, but he's putting up nearly 8 total base runs per 27 outs, nearly three more per game than the #1 guy on the Sox (Devers).
So is TTRB/27 saying, how many runs would a team score, on average, if you had a lineup of 9, say, Barry Bonds?
 

BaseballJones

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So is TTRB/27 saying, how many runs would a team score, on average, if you had a lineup of 9, say, Barry Bonds?
Something like that yes. Though I’m sure there would be some sort of multiplier effect of stacking nine of them in order. In real life that would wear down the pitching so much that it probably would be more runs than this, though maybe not. His 2001 season, nine Barry Bonds’ would score nearly 13 runs a game. So yeah.
 

LoLsapien

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Updated numbers through the end of June, for those of you who are interested in this:

View attachment 84945

View attachment 84947
Thanks BBJ! I love this stat and appreciate your creativity and work on this. The numbers for Houck are just incredible. I mean, second to the inimitable Dom Smith, but still. And the impact of Hamilton's speed really pops here. This is such a great suite of stats for this particular Sox team.
 

BaseballJones

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Thanks BBJ! I love this stat and appreciate your creativity and work on this. The numbers for Houck are just incredible. I mean, second to the inimitable Dom Smith, but still. And the impact of Hamilton's speed really pops here. This is such a great suite of stats for this particular Sox team.
Yeah, in limited playing time, Hamilton has contributed 29 bases just on the base paths alone (SB + BT). That's second only to Duran (who has more than 200 more PA) on the whole team. I don't think any of us would have ever imagined this happening going into the year, but so far in 2024, a lineup of Hamiltons would average around 5.9 runs scored per game. This is the same guy who last year hit .121/.256/.182/.438 (22 ops+). Crazy production from him this year.
 

Cassvt2023

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Yeah, in limited playing time, Hamilton has contributed 29 bases just on the base paths alone (SB + BT). That's second only to Duran (who has more than 200 more PA) on the whole team. I don't think any of us would have ever imagined this happening going into the year, but so far in 2024, a lineup of Hamiltons would average around 5.9 runs scored per game. This is the same guy who last year hit .121/.256/.182/.438 (22 ops+). Crazy production from him this year.
Than why is he not even playing every day? Valdez is getting as much time as he is lately.
 

BaseballJones

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Cora doesn’t understand this stat?
Has nothing to do with this stat that I made up. It's clear that Hamilton is really producing, even at the plate. Forget all his base running which has added value. He's got a .745 ops and 105 ops+, which is solid plate production. Maybe Cora thinks that one reason why Hamilton is doing well is because he's not exposed to MLB pitching every day. Sometimes you can get more production with fewer PAs. Kind of like how some shooters in basketball get worse with more attempts. I don't know. I'm just happy he's playing well.
 

Cassvt2023

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Has nothing to do with this stat that I made up. It's clear that Hamilton is really producing, even at the plate. Forget all his base running which has added value. He's got a .745 ops and 105 ops+, which is solid plate production. Maybe Cora thinks that one reason why Hamilton is doing well is because he's not exposed to MLB pitching every day. Sometimes you can get more production with fewer PAs. Kind of like how some shooters in basketball get worse with more attempts. I don't know. I'm just happy he's playing well.
Maybe they are trying to get Valdez more looks from around the league to see if he has any trade value at all, even as a throw-in type guy. I really don't see how he fits here. It seems like a smaller market team might see some value in his bat in the DH role. Hamilton on the other hand may have a spot here as a utility guy/pinch runner over the next couple years.
 

LoLsapien

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It also might be that they like Valdez' 2B defense better, and see that as important to support our pitching. According to Fangraphs advanced defense metrics, for what it's worth (might not be much) Valdez has been mildly positive. Hamilton has been somewhere between mildly bad (most of the metrics) and catastrophically bad (UZR/150).

There's also reason to think Valdez' bat could turn around. He has a (probably) unsustainably low BABIP (0.240) despite a 43% HH% and pretty decent exit velocity. FWIW, his xSLG is 0.450 and xwOBA is 0.320, significantly higher than his numbers at present, and would exceed Hamilton's xwOBA of 0.307. Hamilton's BABIP (0.330) is actually pretty reasonable given his speed, but statcast thinks he's been getting lucky, as his x#s are all lower than his actual production.
 

simplicio

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Valdez's bat already seems pretty turned around to me.
Before being sent down after 5/1:
.453 OPS, 17 wrc+
After coming back 5/29:
.935 OPS, 156 wrc+
 

Curtis Pride

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Jul 25, 2005
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I am sorry I didn't respond to this earlier. Please forgive me for that oversight on my part. That's a good idea. Here you go - the last two columns are added in now: TTB/27 outs, and then TTBR/27, which takes the TTB/27 and divides it by the MLB average of 4.22 TTB/R to get the true total base runs created per 27 outs.

View attachment 83665

And here's some other people, past and current:

View attachment 83666

Freaking 2001 Barry Bonds put up 54.00 true total bases per 27 outs, which translates to 12.80 true total base runs per 27 outs, which is just mind-boggling. Judge is having another monster season, by the way - not that we needed this silly metric to know that, but he's putting up nearly 8 total base runs per 27 outs, nearly three more per game than the #1 guy on the Sox (Devers).
I'm a little confused about your methodology in calculating TTBR/27. Why are you using the MLB avg. TTB/R (4.22) as your divisor instead of simply 4 bases per run (BPR)? What does TTB/R include that BPR does not?
 

BaseballJones

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I'm a little confused about your methodology in calculating TTBR/27. Why are you using the MLB avg. TTB/R (4.22) as your divisor instead of simply 4 bases per run (BPR)? What does TTB/R include that BPR does not?
Because as of the date of that calculation, the MLB average was 4.22 total bases per run, not 4.0. I just went with the MLB average.
 

Curtis Pride

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Because as of the date of that calculation, the MLB average was 4.22 total bases per run, not 4.0. I just went with the MLB average.
That wasn't my question. Why total bases per run instead of just bases per run, which would always be 4? One possibility is to adjust to hitting environment, like what would the MLB avg. TTBR would look like in the dead-ball era or the steroids era? I suppose it would take into account caught stealing and double plays, where it would be possible to have 5 TTB to produce 1 run instead of 2.

TTB/R seems to factor in team LOB and walkoffs in its calculation, so it would measure offensive efficiency. More LOB, more walkoffs = higher TTB/R = lower efficiency. Also, due to fact that it takes a minimum of 4 bases to score 1 run, TTB/R can never drop below 4. And I'm not sure how we can factor in the Manfred Man in extra innings, although I suppose its impact would be negligible.
 
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BaseballJones

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That wasn't my question. Why total bases per run instead of just bases per run, which would always be 4? One possibility is to adjust to hitting environment, like what would the MLB avg. TTBR would look like in the dead-ball era or the steroids era? I suppose it would take into account caught stealing and double plays, where it would be possible to have 5 TTB to produce 1 run instead of 2.

TTB/R seems to factor in team LOB and walkoffs in its calculation, so it would measure offensive efficiency. More LOB, more walkoffs = higher TTB/R = lower efficiency. Also, due to fact that it takes a minimum of 4 bases to score 1 run, TTB/R can never drop below 4. And I'm not sure how we can factor in the Manfred Man in extra innings, although I suppose its impact would be negligible.
I'm still not totally sure of your question, but 4 bases per run would represent perfect efficiency, and we know baseball doesn't actually work that way. So I thought that using the MLB average would better capture what's really going on. And yes it would look different from year to year depending on the run-scoring environment. But that would help normalize things, kind of like how ops+ and era+ work.
 

Curtis Pride

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I'm still not totally sure of your question, but 4 bases per run would represent perfect efficiency, and we know baseball doesn't actually work that way. So I thought that using the MLB average would better capture what's really going on. And yes it would look different from year to year depending on the run-scoring environment. But that would help normalize things, kind of like how ops+ and era+ work.
Yes, this answered my question. Thank you. As I was writing it occurred to me that it would be closer to OPS+ instead of raw OPS.
 

BaseballJones

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Numbers at the all-star break:

HITTERS

85623

PITCHERS

85627

EDIT - think those are correct for the pitchers now
 
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BaseballJones

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Updated through the end of July:

86471

Hitting Leaders
Total TTB:
1. Duran 302
2. Devers 267
3. O'Neill 198
4. Rafaela 184
5. Wong 164

TTB per PA (min 100 PA):
1. Devers .674
2. Duran .627
3. O'Neill .626
4. Abreu .575
5. Hamilton .563

TTB per Out (min 100 PA):
1. Devers 1.000
2. Duran .901
3. O'Neill .857
4. Refsnyder .801
5. Wong .788


86472
 

BaseballJones

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Final stats for the year...

Hitting:

89618

Most TTB:
1. Duran, 445
2. Devers, 358
3. O'Neill, 242

Most TTB/PA
1. Duran, .590
2. Devers, .567
3. O'Neill, .562

Most TTB/Out
1. Duran, .901
2. Devers, .884
3. O'Neill, 855

Most TTB Runs/27
1. Duran, 3.44
2. Devers, 3.37
3. O'Neill, 3.27

Pitching:

89619
 

LogansDad

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Final stats for the year...

Hitting:

View attachment 89618

Most TTB:
1. Duran, 445
2. Devers, 358
3. O'Neill, 242

Most TTB/PA
1. Duran, .590
2. Devers, .567
3. O'Neill, .562

Most TTB/Out
1. Duran, .901
2. Devers, .884
3. O'Neill, 855

Most TTB Runs/27
1. Duran, 3.44
2. Devers, 3.37
3. O'Neill, 3.27

Pitching:

View attachment 89619
Thanks for doing this, it was interesting to follow this year.
 

LoLsapien

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I really love this metric, particularly the TTB/PA. I really like that you can use it to evaluate both hitters AND pitchers. Duran gives you 0.590 which is roughly 30% better than Houck gives up (0.397). I was on board with letting O'Neill go after this season but, damn, he really was a productive hitter this year...
 

BaseballJones

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Well I forgot to change one data point (total MLB runs scored) and that messed up all the values, so here's the accurate sheets now:

Hitters:

89681

I was wondering why the sheet I posted yesterday had such low TTBR/27 values. It's because I didn't update the total number of runs scored in MLB, which is a huge factor in that formula. TTBR/27 is essentially the number of runs you'd expect a full lineup of that player to score in a regulation 9-inning game. So you'd expect a lineup of Jarren Durans to put up 5.77 runs a game, but a lineup of Ceddanne Rafaelas to put up only 3.91 runs a game.

Pitchers:

89682

Also makes much more sense of the pitching data. Except in small sample sizes, for the most part the pitchers' actual ERAs track fairly well with their TTBR/27.

"Luckiest" pitchers - i.e., those whose ERA is the lowest compared to their TTBR/27 (min 25 ip):

Weissert: 4.29 --> 3.13, -1.16
Booser: 4.14 --> 3.38, -0.76
Bernardino: 4.76 --> 4.06, -0.70

"Unluckiest" pitchers - i.e., those whose ERA is the highest compared to their TTBR/27 (min 25 ip):

Keller: 5.19 --> 5.84, +0.65 (ok, he only pitched 24.2 ip, but close enough)
Anderson: 4.52 --> 4.85, +0.33
Crawford: 4.21 --> 4.36, +0.15

The interesting fact here is that it would seem, by this metric, that many more Red Sox pitchers were "lucky" than "unlucky" this year.

Other key players in MLB:

Hitters:

89683

So a lineup of nine Aaron Judges would be expected to score nearly nine runs a game. Far, far more than what a team of nine Witts would be expected to score. To my surprise, Judge far outpaces Ohtani too. I figured Ohtani's huge SB number would catapult him over Judge but Judge's edge in walks makes up for it. From an offensive standpoint, Judge was by far the best player in baseball this year, despite Ohtani's humongous season.

Pitchers:

89685

I haven't been following Cleveland too closely and though I knew Clase was dominant, I thought he had more strikeouts than that.

I wonder if anything is up with my formula, as most pitchers seem to have a negative differential from their TTBR/27 to their actual ERA. Though I guess my formula takes into account RUNS allowed, not EARNED RUNS, so that's naturally going to inflate their TTBR/27 number. Need to work on that, I think.
 

NeckDownAllStar

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Jan 15, 2024
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Now the running side (OVR):

BBRef defines Bases Taken as bases advanced on fly balls, passed balls, wild pitches, balks, fielder’s indifference.

Maybe I am misinterpreting, but I don’t read that as including an “extra” base – such as a runner getting from first to third (or scoring) on a single or scoring from first on a double – a combination Jarren Duran accomplished 20 times last year.

So, I did that calculation this way:

Extra Base Taken = (Reaches At Least Third On Single + Scores From First On Double + Scores From Second On Single)

I wish BBRef distinguished between going from first to third on a single and scoring from first because an extra base taken is lost in the ambiguity, but I don’t see where they do so.

I took note of AB in DC’s comment about being caught stealing third or home and deducting bases appropriately.

OVR = (Extra Base Taken + Bases Taken + Stolen Bases – Out On Base – Caught Stealing Second – (Caught Stealing Third * 2) – (Caught Stealing Home * 3) - GIDP)

Total Player Offensive Value = (OVB + OBR)


I have avoided dividing by plate appearances since heavy platooning distorts the result in some cases (in 2024 Wilyer Abreu only had 67 plate appearances against lefties versus 380 when facing righties). To divide by PA would further distort an already distorted presentation.

Since I am doing this programmatically, I have been able to make these calculations for all players for the years I have data and for each year to rank those players against the rest of the league.
 

NeckDownAllStar

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Jan 15, 2024
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Results based on 400 Plate Appearances minimum:

If I look at Red Sox players who are in the top 15 in the league in traditional Total Bases OR Unadjusted Offensive Value, in 2024 only Jarren Duran shows up.

Duran ranked 8 in total bases, 24 in Unadjusted Total Offensive Bases Rank, 6 in Offensive Value Running Rank for an Unadjusted Offensive Value Rank of 13.

Devers ranked 28 in total bases, 29 in Unadjusted Total Offensive Bases Rank, 98 in Offensive Value Running Rank for an Unadjusted Offensive Value Rank of 33.

An important factor here is men on base – which is why the “Unadjusted” label in the data. Devers came to the plate with men on 48.75% of the time - ranked 8 in all of baseball (Judge was 49.72% - ranked 5). But when at the plate Duran had runners on just 34.29% of the time (ranked 170).

Year Name Total Bases Total Bases Rank Unadjusted Total Offensive Bases Unadjusted Total Offensive Bases Rank Men On Base Perc Men On Base Perc Rank Offensive Value Running Offensive Value Running Rank Unadjusted Offensive Value Unadjusted Offensive Value Rank
2024 Jarren Duran 330 8 513 24 34.29 170 73 6 586 13
2024 Rafael Devers 271 28 491 29 48.75 8 23 98 514 33


Obviously, Duran is punished for batting lead off so often.

Ohtani, hitting only 1st or 2nd hit with men on 42.41% (ranked 106 in baseball), which makes his 130 RBIs and Offensive Ranking all the more remarkable.
 
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NeckDownAllStar

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Jan 15, 2024
26
Because hitting high in the batting order impacts batting value, I adjusted for the hitting with men on base opportunities by dividing Unadjusted Total Offensive Bases by Men On Base Perc (513/.3429 in Duran’s case) and called it Adjusted Offensive Value Batting.
This means that Adjusted Offensive Value Batting no longer represents bases advanced, but to some degree it normalizes the ranking such that a Duran to Devers comparison is closer to apples to apples.

Year Name Total Bases Total Bases Rank Unadjusted Total Offensive Bases Unadjusted Total Offensive Bases Rank Men On Base Perc Men On Base Perc Rank Offensive Value Running Offensive Value Running Rank Total Unadjusted Offensive Value Total Unadjusted Offensive Value Rank Adjusted Offensive Value Adjusted Offensive Value Rank
2024 Jarren Duran 330 8 513 24 34.29 170 73 6 586 13 1569 7
2024 Rafael Devers 271 28 491 29 48.75 8 23 98 514 33 1030 62


The adjustment applied across the league moves Duran from a Offensive Value Rank of 13 up to 7 while Devers drops from 33 to 62.
 

NeckDownAllStar

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Jan 15, 2024
26
In the John Henry era the following Red Sox have been 5th or better in some flavor of Player Offensive Value Rank.

Year Name Total Bases Total Bases Rank Unadjusted Total Offensive Bases Unadjusted Total Offensive Bases Rank Men On Base Perc Men On Base Perc Rank Offensive Value Running Offensive Value Running Rank Total Unadjusted Offensive Value Total Unadjusted Offensive Value Rank Adjusted Offensive Value Adjusted Offensive Value Rank
2004 Johnny Damon 296 38 568 28 39.32 163 59 11 627 17 1504 4
2004 David Ortiz 351 4 665 2 49.48 41 13 134 678 5 1357 15
2005 David Ortiz 363 4 733 1 50.49 13 4 170 737 2 1456 7
2005 Manny Ramirez 329 11 691 4 51.85 7 21 92 712 4 1354 16
2006 David Ortiz 355 4 692 2 51.46 18 18 120 710 2 1363 15
2007 David Ortiz 341 7 699 3 52.32 9 34 58 733 2 1370 14
2008 Manny Ramirez 332 4 665 2 51.53 12 21 92 686 2 1312 14
2011 Jacoby Ellsbury 364 1 614 7 36.61 165 69 7 683 3 1746 1
2011 Adrian Gonzalez 345 3 643 3 50.91 8 10 140 653 7 1273 16
2016 Mookie Betts 359 1 599 9 40.96 138 76 3 675 2 1538 3
2017 Mookie Betts 288 28 561 14 39.89 147 78 2 639 9 1484 5
2018 Mookie Betts 333 7 564 11 33.39 182 78 1 642 5 1767 1
2018 J. D. Martinez 358 1 662 1 48.84 13 19 112 681 3 1374 12
2019 Mookie Betts 313 24 564 20 37.11 156 62 7 626 15 1582 4
2019 Rafael Devers 359 1 601 12 42.74 103 49 13 650 7 1455 11
2019 Xander Bogaerts 341 6 634 3 46.85 29 44 19 678 2 1397 22
2021 Rafael Devers 318 5 603 2 51.36 5 37 39 640 2 1211 26 15
 
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NeckDownAllStar

New Member
Jan 15, 2024
26
So, @NeckDownAllStar is @BaseballJones alt account? Good to know.
Nah, and I feel a little awkward going off on such a tangent with his idea. But the limitations I think I see in the Bases Taken stat got me going and I had a bunch of Batting Splits data already.

Ironically, it was the 2024 base running stats of the immortal Bobby Dalbec that first looked funny to me. He has zero Bases Taken, but a 25% Extra Bases Taken rate. And that got me poking around.

The rest is my compulsive nature.