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R.B.I. Baseball 1908

Started by BaronVonLector, 10/16/25, 10:31:35 AM

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BaronVonLector

Tonight, I'm releasing R.B.I. Baseball 1908, part of the Heritage Collection, to my Patreon.com/BaronGaming.

This makes 14 seasons represented with many more on the way. I have about 20-30 more that I've been cleaning up ans re-releasing as part of the Collection.

Gantry

Incredible work!

I would add anything to the ROMs page of dee-nee if you wanted, but if you prefer to keep only on your patreon I get that.  I doubt the ROMs page gets much traffic anyway

BaronVonLector

Thank you. For my Heritage Collection work, they only stay Patreon-exclusives for no longer than a month before I put them in the collection at BaronGaming.weebly.com.

Hmm, I just might upload some/most/all of my collection to Dee-Nee in time. I'll let you know.

Quote from: Gantry on 10/16/25, 05:45:12 PMIncredible work!

I would add anything to the ROMs page of dee-nee if you wanted, but if you prefer to keep only on your patreon I get that.  I doubt the ROMs page gets much traffic anyway

Gantry

Sounds good, you cool if I put a link to your Weebly site? 

BeefMaster

Like Gantry said, this is very cool stuff (Tinker to Evers to Chance in RBI!). For dead-ball-era ROMs, do you do any scaling of relative power, so "power hitters" of the time still hit pretty hard, or is it more true to the era, where everyone basically is gonna top out at like 780 and you have to rely on small ball (maybe with some extra speed)?
"Nobody in football should be called a genius. A genius is a guy like Norman Einstein." - Joe Theismann

BaronVonLector

Quote from: BeefMaster on 10/17/25, 07:25:06 AMLike Gantry said, this is very cool stuff (Tinker to Evers to Chance in RBI!). For dead-ball-era ROMs, do you do any scaling of relative power, so "power hitters" of the time still hit pretty hard, or is it more true to the era, where everyone basically is gonna top out at like 780 and you have to rely on small ball (maybe with some extra speed)?

Thank you. I did a little bit of scaling, but not a lot. In a regular R.B.I. Baseball game, it's not uncommon for each team to hit anywhere between 5-10 HRs in a game. In a few of my last COM vs COM games, homeruns happen, but a lot less frequently. For example, the last playthrough I did resulted in 2 HRs by one team (both by Ty Cobb) and one by the other (Honus Wagner).

For example, HERE's the TIGERS' team bio that I may or may not, eventually, attach to each ROM as a manual of sorts:

    Germany Schaefer: 750 (0x2EE) 22 (0x16) 142 (0x8E)
    • (Deadball utility sparkplug with .342 SLG on 3 HR but 13% K rate (75 SO/584 AB) hurting contact; elite 40 SB speed for chaos on bases.)

    Matty McIntyre: 780 (0x30C) 18 (0x12) 136 (0x88)
    • (OF leadoff with .383 SLG on doubles/triples despite 0 HR, solid .295 BA but 11% K (63 SO/569 AB); 20 SB for quick wheels.)

    Sam Crawford: 820 (0x334) 10 (0xA) 130 (0x82)
    • (RF slugger with team-high 7 HR and .457 SLG, crisp .311 BA with tiny 5% K rate (28 SO/591 AB) for elite contact; 15 SB average speed.)

    Ty Cobb: 850 (0x352) 6 (0x6) 144 (0x90)
    • (Georgia Peach phenom with .476 SLG on 4 HR/41 doubles, god-tier .324 BA and 7% K (42 SO/580 AB); burner 39 SB defines his menace.)

    Claude Rossman: 790 (0x316) 16 (0x10) 124 (0x7C)
    • (1B with .418 SLG on 2 HR/25 doubles, strong .294 BA but 9.5% K (50 SO/524 AB); modest 8 SB fits corner power profile.)

    Boss Schmidt: 730 (0x2DA) 14 (0xE) 120 (0x78)
    • (Catcher with .320 SLG on 1 HR, reliable .265 BA with low 5% K (21 SO/419 AB); 5 SB as expected for backstop.)

    Bill Coughlin: 680 (0x2AC) 26 (0x1A) 126 (0x7E)
    • (3B with dismal .232 SLG and 0 HR, weak .215 BA with 12% K (47 SO/405 AB); 10 SB for scrappy average speed.)

    Red Downs: 690 (0x2B2) 28 (0x1C) 122 (0x7A)
    • (Utility IF with .287 SLG on 1 HR, poor .221 BA with high 15% K (43 SO/289 AB); minimal 2 SB.)

    Charley O'Leary: 720 (0x2D0) 20 (0x14) 128 (0x80)
    • (SS backup with .322 SLG on gaps, .251 BA with 7.5% K (16 SO/211 AB); 4 SB solid for bench role.)

    Davy Jones: 650 (0x28A) 24 (0x18) 134 (0x86)
    • (OF platoon with .240 SLG and 0 HR, subpar .207 BA but low 7% K (9 SO/121 AB); 11 SB boosts leadoff speed.)

    Ira Thomas: 710 (0x2C6) 12 (0xC) 118 (0x76)
    • (Backup C flashing .307 BA with 10% K (10 SO/101 AB) but .317 SLG/0 HR; 0 SB for catcher plod.)

    Red Killefer: 660 (0x294) 26 (0x1A) 120 (0x78)
    • (Reserve C with .227 SLG and 0 HR, weak .213 BA with 13% K (10 SO/75 AB); 4 SB negligible.)

BaronVonLector

Quote from: Gantry on 10/17/25, 05:51:08 AMSounds good, you cool if I put a link to your Weebly site?

Absolutely, 100!

BeefMaster

Thanks for the info. 850 is low-end power hitter (Matt Nokes is 852), so if that's top of this ROM then it'll be not QUITE dead-ball levels of dingers but still a lot less than a typical game.
"Nobody in football should be called a genius. A genius is a guy like Norman Einstein." - Joe Theismann

ProfessorW

Wonderful collection, I'll test the 1984 season with 10 teams and see how much differences are with the generated with a program I made. (So far the tests with what I call "true data" for 1986 are playable and believable enough IMO)
Probably instead of using 1987 data, I'll use 1984 and compare with the rom of your site Baron.

I'll probably share in this forum A Famista86 rom with the MLB 1986 data by the weekend. Unfortunately I have found a few errors with the translated Famista88, and in some things, I have to go back to "design phase".

BaronVonLector

Quote from: ProfessorW on 10/17/25, 12:48:02 PMWonderful collection, I'll test the 1984 season with 10 teams and see how much differences are with the generated with a program I made. (So far the tests with what I call "true data" for 1986 are playable and believable enough IMO)
Probably instead of using 1987 data, I'll use 1984 and compare with the rom of your site Baron.

Using linear regression, about ten years ago I generated a formula for determining power and contact ratings using all of the ratings from the original NES. I have since had to re-calibrate the formula focusing more on distribution value because, in short, Aaron Judge broke R.B.I. Baseball.

<Nerdy incoming!> Basically, the calculations and ratings worked fine and were created when the most powerful HR hitters lead the league with 45-ish HRs, resulting in power ratings of 950-ish. However, repeated 50-60 HR seasons by Judge have pushed the power-ratings continuously to 999 and beyond, so I'm using more of a distribution model instead of a straight formula. This started with the 1908 and the soon-to-be-released 2001 release, and will be used with all future releases. The old model should work with the 1984 release, though.

ProfessorW

Exactly my same approach with the linear regression. BUT I cap the power and speed calculations to not exceed some values.
And Judge is to blame. I think that since he is an outstanding out-of-the-score, why push all of the others? he must be noted still as an out-of-the-chart. Simply using him at my maxed cap value, since no one else will be near.

But I'm interested in your second method, the distribution model, how it works.

What did you use for pitching calculations? I have an approach, but I'm not entirely convinced, I think it's cheating in a way, but it gives me enough flexibility and variety from one year to another.