Collective Strategy:
As mentioned in the past, given what I've seen with HRs allowed vs errors in overall RA/G, and how the HR impact was priced in, such that a pitcher similarly priced as another pitcher will essentially have the same RA/9 without regard to how they get to it. I generally don’t even look at the HR/9 for the pitchers I draft, most of the time, their HR/9 is relatively high.
I've also continued to play around with very heavily offensive oriented teams maximizing every roster spot with typically 2-4 platoons to use every $ productively. I no longer draft $200k scrubs or mop ups unless the theme requires it or provides an advantage in doing so. I draft with a goal of spending between 55-62% of my budget on offense, usually loosely targeting 60% and letting the exact distribution fall as it may on either side.
With the way the sim calculates fatigue and pitch counts for pitchers, modern pitchers get a boon due to their higher K/9 (gives them extra pitches on their PC, which is used for fatigue, but they won’t reach those figures due to normalization, even more so if facing deadball hitters), this means you get more IP for your $ all else being equal. Secondarily, I almost always try to draft from 2017+ due to dynamic pricing. There are still some bargains in the dynamically adjusted period, but when I know every player will be a good buy, it’s just easier to not have to account for it.
I really like to use players I’ve never used before, and I like to maximize value as much as possible. I prefer pitchers post-1960 and hitters pre-1930 (but especially from the 1880s).Given the modern/deadball distribution I usually go with for hitting and pitching, I also usually focus on drafting great range at CF, 2B, 3B, and SS, and catchers with CS% above 40% to combat teams relying on SB in -HR parks.
I have become a huge fan of non-traditional pitching staffs that are built almost entirely of RPs or shorter IP SPs. There's so much value in these pitchers with 80-130 IP, especially with IP/G <2. On most teams these days I run pitching staffs of 11-13 80-130 IP guys at roughly a 20-30% discount to a similar staff built around higher IP/G or traditional roles due to dynamic pricing and most of these guys being generally ignored as it takes a little more careful effort to use them effectively (primarily applies to 1961-2016 pitchers).
So, as you read through each of the team specific thought processes below, remember that all of them start with this basic set of goals.
$70m: From Gotham to the Bay (Giants) SBC Park (1, 0, 2, -3/-3):
No secret that I love the low caps. The lower the better. My favorite is $25-40m. As I’ve mentioned frequently, over the past few years, I prefer modern pitching. Especially in lower caps (though, I don’t really consider $70m a low cap, it’s at the low end of the mid-caps: I’d put low-caps at <$65m, mid-caps $65-120m, and high caps as >$120m).
I immediately thought about the Phillies, and relative bargain pitching options like Halladay, Lee, Wheeler, and Sanchez and then an offense built around Cravath, Cy Williams, Roy Thomas, and maybe Richie Ashburn… with a goal of cloning both Cravath and Williams since I could. A first pass build looked great, but I had some minor holes to fill and needed a little more IP. As I started building seriously, it became clear that the Phillies weren’t the right option… Wheeler and Sanchez were from the same 5-year window as were Halladay and Lee… IP options outside of them in other windows cost too much, and the offense while great, couldn’t fit if I had to spend more on IP. I’m sure there were some ways to make a Phillies team work, but not within my play style.
I then shifted to the Giants with the same goals but building the offense around Donlin, Connor, Seymour, Bancroft, Bresnahan, etc and a bunch of relatively cheap IP guys with 120-180 IP from the 60s-80s. First pass came together nicely and the hole patching made it all come together really well. Ended up not using a few of the guys initially on my radar (including one of my personal favorites in Donlin), but I really like this team overall. The one weakness here is my C arm, especially at this cap, where SB is an easy way to build an offense without sacrificing anything else, I usually try to stick well above 40% CS, but here, to fit budget and eras, I settled a little with a 31% CS. Should still be solid, but won't cut down the likely speed teams as much as I normally try to at this level.
This is one of several teams in the tournament testing a new ballpark strategy I’m playing around with. Despite my strong offensive team, I’m in a relatively strong pitching park, with a massive -3/-3 for HR, but still +hit factor. With the core of my offense being from 1901-1930, a park that boosts hits and reduces HRs suits their offensive style quite well, while also helping my modern pitchers with their biggest weakness (the long ball).
I really like this team.
LINEUP:
PITCHER
3B ’13 Tillie Shafer .287/.369/.398
2B ‘25 Frankie Frisch/’57 Red Schoendist .331/.384/.472 & .307/.337/.476
LF ’07 Cy Seymour .294/.350/.400
CF ’29 Edd Roush .324/.390/.451
C ’02 Rogers Bresnahan .278/.344/.400
SS ’20 Dave Bancroft/’32 Travis Jackson .299/.349/.396 & .256/.310/.415
RF ’53 Hank Thompson/’37 Wally Berger .302/.400/.567 & .291/.359/.548
1B ’44 Phil Weintraub/’48 Mickey Livingston .316/.412/.524 & .212/.350/.333
I'm running a 3-man rotation with tandems:
#1 ’61 Mike McCormick 263 IP, 3.20/.249.1.24
#2 ’71John Cumberland 185 IP, 2.92/.223/1.12
#3a ’18 Madison Bumgarner 129.2 IP, 3.26/.238/1.24
#3b ’88 Mike Krukow 125 IP, 3.54/.236/1.14
Overall stat lines:
Hitting: 5,175 PA, .299 AVG, .366 OBP, .448 SLG
Pitching: 1,271 IP, 3.40 ERA, .236 OAV, 1.17 WHIP, 1.04 HR/9
Rough Prediction: 88 Wins
$80m: Walkaholics Anonymous Coors Field (+3, +3, +3, +4/+4)
I love HR oriented teams and despite most leagues and owners using as many HR suppressing options as possible, I still build a large % of my teams centered around the long ball. This league gave me the biggest headache in terms of deciding which strategy to ultimately go with. I came up with an initial 6 strategies, of which 4 surfaced as strong options. I then ran those 4 (plus two others my brother put together) through a 160 game sim where each of the 6 teams played 160 games total (32 against each other option). One of the 4 I included was a team that I assumed would be the closest to what most other owners would use. That one was the 2
nd best overall team in this mini-sim winning 89 games. It also made me feel confident in the choice of what most teams would be doing. The team I built with the goal of beating that kind of team finished with the best overall record, winning 102 games in that mini-sim, however, they only went 16-16 against the team they were designed to beat. That made me less confident in their ability to do well here. I then asked our good buddy Claude to give me some run scoring and allowed expectations for the 6 teams, plus a new idea I had post mini-sim. For context, I gave it the Paul Bessire slides, the ballpark effects figures, emphasized the decision tree, full stats and performance history logs for every player on each of these teams, as well as the historic league averages to calculate log5 matchups (for opponents I told it to weight them to 80% of the one I expect most to go with and the remaining 20% to use a random distribution of the remaining teams I fed it)… it predicted the 102 win team above as the best option with a win expectancy of 97 and a range of 71-123 wins with the most likely range of 89-105. It gave my new idea that I hadn’t simmed, the next best expected outcome, and the one I expect everyone else to use as the 3
rd best, with a predicted win expectancy of 91. One that I really liked that used a 6-man pitching staff with all excellent hitting pitchers fared poorly in both the mini-sim and the predicted outcome (winning just 57 in the mini-sim and getting a 67 win expectancy from the prediction). So, for me, that left just my two remaining options, the one I originally drafted with the goal of beating the type of team I expect others to use (that only played .500 against them in a mini-sim) and my other choice, a team built around SB under the assumption that virtually every team will have Cal Raleigh as their C. This one in the projections also had a predicted 97 win expectancy (rounded for both, actual was 96.7 here and 97.1 for the other), with a much tighter expected range of 84-109, with most likely range between 91-103. This was clearly the safer option. Lower floor, less likely to be a catastrophic failure and a fun lineup with Rickey, Eric Davis, Bonds, Soto, Elly De La Cruz, Goldschmidt, Jose Ramirez, Ian Kinsler, JT Realmuto (who also stops others using the same strategy). Ultimately, I decided “go hard or go home.” I might barely win 70, but I have a chance at 120+, and I’d rather take that chance than play it safe.
So, the full strategy at play assumes most owners will try to minimize HR allowed by drafting the most pitcher friendly parks available (mostly Kingdome, Tiger, and GABP), drafting pitchers with low OAV to minimize hits that get turned into HR, and guys whose 0.75 HR rate normalize closer to 0.57-0.60. That meant two things, these guys will likely walk more batters, and given their parks, they are probably drafting more cookie-ish guys like Marte who have poor range but decent AVG.
So, first, that meant I was going with Coors. I need to take full advantage of the poor range and defeat their pitchers low OAV. This also means my hitters need to have good range to minimize the park effect on my pitchers relative to my opponents. Second, I needed to draft guys who walk a ton to take advantage of the likely higher BB rate my opponents have, and I need to draft pitchers who BB as few as possible. I can’t give up free baserunners in Coors. My pitchers need to be better than average on OAV, and near elite on BB/9. Higher K rate will also be useful to minimize errors and maximize pitcher PC to combat park enhanced fatigue. I ignored HR/9 and HR/9+. HRs are going to happen, I need to make sure it’s the only damage done.
All but two of my hitters have a BB rate over 15%, Schwarber is one of them… if Schwarber is one of your guys who walk the least, you know your team is going to take a ton of BB. I also have A+ range at 2B, 3B, SS, with a CF defensive replacement who also has A+ range.
I drafted a few hitters with high AVG and non-HR XBH, to try to take advantage of the non-HR hits and make sure I have guys on base for the thumpers. A couple of my guys are light on PA, so I’m running a non-standard lineup, that will act more like a standard lineup after the first time through (Caruthers then becomes the “high-OBP leadoff guy, with Bonds as the all around #2 hitter and Connor as my #3, etc and Schwarber becomes the all SLG #5 guy…), but for the setup, it’s:
LINEUP:
1B ’92 Roger Connor .294/.420/.463 12 HR
SS ’94 Bill Dahlen .357/.444/.566 15 HR
CF ’25 Kyle Schwarber .240/.365/.563 56 HR
3B ’73 Carl Yastrzembski .296/.407/.463 19 HR
2B ’48 Joe Gordon .280/.371/.507 32 HR
C ’27 Johnny Schulte/’21 Yasmani Grandal .288/.456/.538 9 HR & .240/.420/.520 23 HR
PITCHER
RF ’87 Bob Caruthers .357/.463/.547 8 HR
LF ’07 Barry Bonds .276/.480/.565 28 HR
With three low salary guys on the bench who serve as both key PH and defensive replacements who basically only hit HR and take BB in ’01 Davy Jones, ’89 Lee Mazzilli, and’96 Rob Deer.
I’m running a 4-man rotation with tandems:
#1 ’06 Dave Bush 210 IP, 4.41/.252/1.14 (1.63 BB/9, 1.11 HR/9)
#2 ’22 Miles Mikolas 202 IP, 3.29/.226/1.03 (1.73 BB/9, 1.11 HR/9)
#3a ’18 Jeremy Hellickson 91 IP, 3.45/.230/1.07 (1.97 BB/9, 1.08 HR/9)
#3b ’24 Shota Imanaga 173 IP, 2.91/.225/1.02 (1.45 BB/9, 1.40 HR/9)
#4a ’12 Jeremy Guthrie 91 IP, 3.15/.248/1.13 (1.87 BB/9, 0.87 HR/9)
#4b ‘’18 Sean Manea 161 IP, 3.59/.232/1.08 (1.79 BB/9, 1.18 HR/9)
I also really like this team, My biggest confounding factors are my assumption on others strategy for their teams here and my park choice. The park choice could hurt me more than my opponents and will ultimately be what makes or breaks this team. I looked at taking some more A+ range in LF/RF or at least having my starting CF with A+ range, but the salaries of those options didn’t quite fit wile maintaining the HR# rate and BB%. So, that might come back to haunt me a little.
Overall stat lines:
Hitting: 5,293 PA, .291 AVG, .416 OBP, .517 SLG 212 HR (901 BB, or 17% BB%)
Pitching: 1,322 IP, 3.40 ERA, .234 OAV, 1.06 WHIP, 1.69 BB/9, 1.13 HR/9
Rough Prediction: 73 wins or 111 wins.
$100m: 1928 Philadelphia A’s Shibe Park (+2, 0, 0, 0/0)
I took a short glance at the 2018-2023 Dodgers, and 2014-2022 Cubs, as well as the 2011-2022 Indians, but I didn’t feel the modern teams really allowed as much leeway with the twisting and limited you to your core season more. I don’t think that’s necessarily bad, some of those core seasons could easily support a $100m team on their own, but I wanted a team I could be flexible with. I had these A’s in the back of my mind, but thought I’d check out the 1891-92 Boston Reds, (figuring it would be the same problem in reverse, it was, but worse), and a couple of Red Sox options in the late teens. As soon as I started looking at this A’s team, I was fairly confident this would be the one. After my first pass at building something, it felt really solid with just a couple pieces needing shuffled around to better optimize some spots. After a few swaps I ended up with this version that I really like. They hit well, have solid defense/range. I expect this team to score a ton of runs, and hope the pitchers don’t have to deal with too much appearance fatigue as a result of how few arms I have and how I am using them.
I put together a little chart to make it easy to see what seasons each player had available to use and blackout out cells where they didn’t have useable seasons, and highlighted cells that had seasons I would want to use, then colored green with “Yes” any that I would be using. I also had an “X” column to notate players I wouldn’t be rostering at all and a column to highlight the players I’d be using the core season for. This gave me a really simple visual for seeing what pieces could be swapped around and allowed me to fit the puzzle together cleanly. It also showed me multiple paths to getting a 15 season twist, though I ended up only using an 11 season twist.
Sample section from the hitters portion:
| POS |
|
28 |
27/29 |
26/30 |
25/31 |
24/32 |
23/33 |
22/34 |
21/35 |
20/36 |
19/37 |
18/38 |
17/39 |
16/40 |
15/41 |
14/42 |
13/43 |
X |
| C |
Cochrane |
|
|
|
x |
|
|
|
|
|
Yes |
x |
|
|
|
|
|
|
| C/1B/3B/SS/OF |
Foxx |
Yes |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2B/SS |
Bishop |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Yes |
| 2B/SS |
Collins |
|
|
|
|
|
|
|
Yes |
|
|
|
|
|
|
|
|
|
| OF |
Speaker |
|
|
|
|
|
|
|
|
Yes |
|
|
|
|
|
|
|
|
| 1B |
Hauser |
|
|
|
|
|
Yes |
|
|
|
|
|
|
|
|
|
|
|
| SS |
Boley |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Yes |
| 3B/SS/2B |
***** |
|
Yes |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3B |
Hale |
Yes |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| OF |
Simmons |
Yes |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| OF |
Miller |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Yes |
| OF |
Haas |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Yes |
| OF/1B/3B |
Cobb |
|
|
|
|
|
|
|
|
|
|
|
Yes |
|
|
|
|
|
LINEUP:
CF ’17 Ty Cobb .383/.444/.570
LF ’20 Tris Speaker .388/.483/.562
1B ’23 Joe Hauser .307/.398/.475
2B ’21 Eddie Collins .337/.412/.424
3B ’28 Jimmie Foxx .328/.416/.548
RF ’28 Al Simmons/’28 Ossie Orwoll .351/.396/.558 & .306/.366/.406
SS ’29 Jimmy ***** .327/.412/.539
PITCHER
C ’37 Mickey Cochrane/’22 Cy Perkins .306/.452/.490 & .267/.322/.366
with ’28 Sammy Hale (.309/.334/.468) giving PA coverage at both 3B and SS
Running a very small (for me) 9 man pitching staff, with 3-man quasi-tandem rotation (these guys have relatively low IP/G, so they’ll all be available in relief, as well):
#1 ‘26 Joe Bush 118 IP, 3.01/.236/1.19
#2a ’32 Lefty Grove 307 IP, 2.84/.241/1.19
#2b ’31 George Earnshaw 301 IP, 3.67/.236/1.17
#3a ’28 Rube Walberg 250 IP, 3.55/.265/1.27
#3b ’28 Eddie Rommel 184 IP, 3.06/.266/1.17
Key Bullpen Pieces:
’28 Howard Ehmke 148 IP, 3.62/.254/1.29
’18 Jack Quinn 67 IP, 2.29/.208/0.88
Overall stat lines:
Hitting: 5,935PA, .327 AVG, .402 OBP, .484 SLG
Pitching: 1,427 IP, 3.32 ERA, .247 OAV, 1.20 WHIP, 0.57 HR/9
Rough prediction: 82 wins
$110m: 5 Teams, 5 Eras, 5 Invalid Entries Astrodome (+1, 0, +1,-4/-4)
This was an absolute nightmare for me. I also feel bad for my commissioner on how many “your team still isn’t valid” messages they had to send my way.
I won’t go into what variations I tried that didn’t work, but what I really wanted to accomplish really felt (and still does feel) impossible given them theme structure. I wanted to build a team with my 55-62% offense, drafting 12-13 pitchers with all pitchers coming from the 2.5 modern eras, but with the $20m per era AND the 5 players per team restrictions, it wasn’t mathematically possible to hit all those figures at the higher offensive salary distributions, and only possible in the <60%, but that’s dependent on finding players that can make it work within the limited team selection – I would have loved to have been able to use TB, or AZ, or even FLA/MIA to build out my modern era roster).
Because of how I build my teams, the question was never about having to figure out what teams from eras, but about how to make the $20m/5 player problem go away. The teams were just whatever. I never even ran into a scenario where I had used a team in one era that had players I would have liked to use in another era. Only pitchers I couldn’t access because they weren’t on any of the teams within scope, and having to draft excess IP and/or pricier IP than I’d prefer just to hit arbitrary $ targets. This is the only team I have in this tournament that is using $200k scrubs, and they were drafted just to hit the 5 player minimums.
That said, I did manage to still squeeze in a 59% offensive distribution, and carry 12 pitchers…. I am also trying the ballpark strategy discussed above here, as well, and hope that will help me some. Same reasons as above, strong non-HR oriented offense, modern pitching whose main weakness is longball, Astrodome gives me -4/-4 HR and +hit still. This was the one key choice, I wanted to make sure I had access to either Astrodome or SBC Park, so I needed Astros from this era or one prior or Giants from this or the era next.
There were so many back and forths making corrections that I my gut tells me I missed something in the process and failed to consider some element that will come back and bite me.
LINEUP:
SS ’42 Johnny Pesky (Red Sox) .331/.375/.416
3B ’36 Odell Hale (Indians) .316/.380/.506
CF ’50 Dom Dimaggio (Red Sox) .328/.414/.452
LF ’48 Ted Williams (Red Sox) .369/.497/.615
2B ’75 Joe Morgan (Reds) .327/.466/.508
RF ’25 Tris Speaker (Indians) .389/.479/.578
1B ’79 Champ Summers (Reds)/’23 Riggs Stephenson (Indians) .291/.401/.556 & .319/.357/.475
DH ’50 Al Zarilla (Red Sox) .325/.423/.493
C ’36 Billy Sullivan (Indians)/’81 Joe Nolan (Reds) .351/.382/.508 & .309/.371/.407
With additional OF/DH PA from the $200k scrubs (one each from Red Sox and Indians)
With another 3-man rotation, this time no tandems:
#1 ’20 Kyle Hendricks (Cubs) 220 IP, 2.88/.240/1.00
#2 ’90 Danny Darwin (Astros) 163 IP, 2.21/.225/1.03
#3 ’01 Roy Oswalt (Astros) 142 IP, 2.73/.235/1.06
Key Bullpen Pieces:
’25 Shota Imanaga (Cubs) 145 IP, 3.73/.218/0.99
’09 Ted Lilly (Cubs) 178 IP, 3.10/.230/1.06
’98 Randy Johnson (Astros) 85 IP, 1.28/.191/0.98
’92 Doug Jones (Astros) 112 IP, 1.85/.235/1.01
’14 Jason Hammel (Cubs) 109 IP, 2.98/.222/1.02
’12 Ryan Dempster (Cubs) 104 IP, 2.25/.210/1.04
’02 Octavio Dotel (Astros) 98 IP, 1.85/.173/0.88
’64 Bill Henry (Reds) 52 IP, 0.87/.170/0.83
Overall stat lines:
Hitting: 6,230 PA, .331 AVG, .415 OBP, .494 SLG
Pitching: 1,439 IP, 2.54 ERA, .221 OAV, 1.00 WHIP, 0.89 HR/9
Rough predictions: 86 wins
$125M: Seize the Means of (Run) Production Great American Ball Park (0, 0, -2, +2/+2)
This was the first team I built. This goes perfectly with my standard roster building strategies of lots of platoons and non-standard pitching setups… only ’20 Kershaw (157) has more than 150 IP. I am using a couple of pitchers who are a little over-priced due to dynamic pricing, but their stats and IP were too good of a fit to pass up (’01 Pedro, ’81 Fingers). This put me at the low end of my preferred distribution with just 56% of my salary on offense. Full roster below. Though lineup isn’t listed as they vary greatly vs RHP and LHP, so I am just listing position coverage.
LINEUP:
C ’43 Bill Dickey / ’89 Jocko Milligan .351/.445/.492 & .366/.408/.623
1B ’14 Steve Evans .348/.416/.556
2B ’29 George Grantham / ’99 Nap Lajoie .307/.454/.533 & .378/.419/.554
3B ’96 Bill Joyce / ’95 Matt Williams .313/.454/.506 & .336/.399/.647
SS ’41 Arky Vaughan / ’20 Miguel Rojas .316/.399/.455 & .304/.392/.496
LF ’87 Bob Caruthers .357/.463/.547
CF ’73 Reggie Smith .303/.398/.515
RF ’11 Fred Clarke / ’49 Joe Dimaggio .324/.407/.492 & .346/.459/.596
With ’09 Carlos Beltran (.325/.415/.500) backing up both Caruthers and Smith.
Despite the lack of any big IP pitchers, I didn’t use any tandems or a/b rotations here, just a straight 4-man with:
’20 Zach Plesac 149 IP, 2.28/.191/0.80
’22 Max Scherzer 145 IP, 2.29/.207/0.91
’12 Kris Medlen 138 IP, 1.57/.208/0.91
’25 Nathan Eovaldi 130 IP, 1.73/.194/0.85
Bullpen Pieces:
’20 Clayton Kershaw 157 IP, 2.16/.191/0.80
’16 Chris Devenski 108 IP, 2.16/.206/0.92
’99 Derek Lowe 110 IP, 2.63/.208/1.00
’99 Keith Foulke 106 IP, 2.22/.188/0.89
’01 Pedro Martinez 118 IP, 2.39/.199/0.93
’81 Rollie Fingers 116 IP, 1.04/.198/0.87
’20 Tony Gonsolin 126 IP, 2.31/.193/0.84
Overall stat lines:
Hitting: 5,999 PA, .333 AVG, .423 OBP, .535 SLG
Pitching: 1,403 IP, 2.07 ERA, .199 OAV, 0.88 WHIP, 0.69 HR/9
Rough prediction: 91 wins
$140m: Letters of Intent Coors Field (+3, +3, +3, +4/+4)
This one came together very quick for me, I started with my pitching and then went to offense… I just marked off letters as I used them… only real decision point came with my final 3 letters as I tried to sort out DH, backup C, and the final piece for PA fill out. As I looked at players, I didn’t want to fully build out an $80m team, but wanted to make sure I had options there, so part of my process was making sure every choice had a season that would also work at $80m and a useable low salary or scrub season so I could piece things together. The $80m version doesn’t have my preferred salary distribution, but it’s a very solid build with a roughly 50/50 pitching/offense.
A – Nick Anderson
B – Shane Bieber
C – Ty Cobb
D – Jacob deGrom
E – Mark Eichhorn
F – Doug Fister
G – Zack Grienke
H – Willie Hernandez
I – Cesar Izturis
J – Bill Joyce
K – Clayton Kershaw
L – DJ LeMahieu
M – Stan Musial
N – Dave Nilsson
O – Mel Ott
P – Albert Pujols
Q – Jamie Quirk
R – Babe Ruth
S – Chris Sale
T – Gene Tenace
U – Koji Uehara
V – Justin Verlander
W – Honus Wagner
Y – Kirby Yates
Z – Jeff Zimmerman
LINEUP ($140m):
DH ’96 Bill Joyce .333/.470/.518
LF ’28 Babe Ruth .323/.461/.709
1B ’52 Stan Musial .336/.432/.538
3B ’38 Mel Ott .311/.442/.583
RF ’03 Albert Pujols .359/.439/.667
SS ’05 Honus Wagner .363/.427/.505
2B ’16 DJ LeMahieu .348/.416/.495
C ’99 Dave Nilsson / ’71 Gene Tenace .309/.400/.554 & .274/.381/.430
CF ’21 Ty Cobb .389/.452/.596
With ’79 Jamie Quirk and ’06 Cesar Izturis .304/.353/.443 & .233/.282/.260 filling out some PA.
Here, I am using a 4-man rotation with tandems:
Rotation:
#1 ’21 Jacob deGrom 92 IP, 1.08/.129/0.55
#2a ’18 Chris Sale 158 IP, 2.11/.181/0.86
#2b ’19 Zack Greinke 146 IP, 2.90/.220/0.95
#3a ‘16 Clayton Kershaw 149 IP, 1.63/.184/0.72
#3b ’86 Mark Eichhorn 157 IP, 1.72/.191/0.96
#4a ’84 Willie Hernandez 141 IP, 1.92/.194/0.94
#4b ’20 Shane Bieber 209 IP, 1.63/.167/0.87
Overall stat lines ($140m):
Hitting: 6,250 PA, .338 AVG, .434 OBP, .562 SLG
Pitching: 1,386 IP, 1.81 ERA, .176 OAV, 0.83 WHIP, 0.65 HR/9
For the $80m version, I haven’t decided on actual lineup structure yet, but positionally, it will look something like this… with $40.1m on offense and $39.9m on pitching.
LINEUP ($80m):
C ’93 Dave Nilsson / ’71 Gene Tenace .257/.336/.375 & .274/.381/.430
1B ’15 Albert Pujols .244/.307/.480
2B ’15 DJ LeMahieu .301/.358/.388
3B ’97 Bill Joyce .304/.441/.433
SS ’13 Honus Wagner .300/.349/.385
LF ’18 Babe Ruth .300/.410/.555
CF ’20 Ty Cobb .334/.416/.451
RF ’28 Mel Ott .322/.397/.524
With ‘61 Stan Musial (.288/.371/.489) Covering for all three OF spots and serving as primary PH, as well as ’79 Jamie Quirk and ’06 Cesar Izturis .304/.353/.443 & .245/.295/.318 filling out some PA and also PH as needed.
Here, I’ll likely use tandems again, but for now here’s just a list of the key IP:
Rotation:
’14 Jacob deGrom 140 IP, 2.69/.228/1.14
’11 Doug Fister 216 IP, 2.83/.237/1.06
’23 Chris Sale 126 IP, 2.58/.220/1.07
’15 Justin Verlander 134 IP, 3.38/.229/1.09
’94 Mark Eichhorn 103 IP, 2.15/.240/.1.14
’77 Willie Hernandez 110 IP, 3.03/.234/1.111
’20 Clayton Kershaw 157 IP, 2.16/.194/0.84
Overall stat lines ($80m):
Hitting: 5,201 PA, .291 AVG, .372 OBP, .458 SLG
Pitching: 1,300 IP, 2.69 ERA, .222 OAV, 1.04 WHIP, 0.78 HR/9
Rough prediction: 84 wins
Final Thoughts:
This go around I spent a crazy amount of time on the $80m, a decent amount of time on the $110m, and basically drafted the other four on the fly with a few check ins on the $70m and $140m. The $110m was a struggle as I’ve discussed relatively thoroughly above. Despite the challenge with it, I don’t dislike that roster, and I like my teams overall. I expect the $70m team to be fairly competitive, the $125m, also. The $80m, $100m, and $140m were all fun for me and they may or may not do well, mostly depending on how the rest of my league built their teams and distributive luck. Generally speaking, I expect to finish somewhere around 36-44 overall.