Category: RPG

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FASERIP-Slugfest – rats on the run

Things are tough in ratland when you add in a cat’s killing ability. Maybe we should go James Herbert next and have a rat pack versus a person as a test. Not that those are giant mutant killer rats. Although possible good superhuman testing ground?

Battles: 1101; Sum of rounds: 6336; rodent: 0.0 ± 0.0; feline: 1.01 ± NA; rodent: 0.0 ± 0.0; feline: 1.099 ± NA;
Team rodent = winning battles: 2; perfect battles: 0; close-call battles: 0;
Team feline = winning battles: 1099; perfect battles: 0; close-call battles: 0;
------------------------------------------------- Combattants ------------------------------------------------
Rat: {team=rodent; avg hp=0.005449591280653951 (from 8); avg healing spells left=0.0 (from 0); damage done (per battle average)= 3.6412352406902815; hits/slams/stuns/kills/misses (PBA)= 1.8206176203451407/0.0/0.0/0.0/2.751135331516803; rounds (PBA)=4.572661217075386;}
Cat: {team=feline; avg hp=16.717529518619436 (from 24); avg healing spells left=0.0 (from 0); damage done (per battle average)= 3.997275204359673; hits/slams/stuns/kills/misses (PBA)= 1.9986376021798364/0.0/0.45049954586739327/0.05131698455949137/2.9981834695731155; rounds (PBA)=5.4959128065395095;}
Rat: {team=rodent; avg hp=0.005449591280653951 (from 8); avg healing spells left=0.0 (from 0); damage done (per battle average)= 3.6412352406902815; hits/slams/stuns/kills/misses (PBA)= 1.8206176203451407/0.0/0.0/0.0/2.751135331516803; rounds (PBA)=4.572661217075386;}
Cat: {team=feline; avg hp=16.717529518619436 (from 24); avg healing spells left=0.0 (from 0); damage done (per battle average)= 3.997275204359673; hits/slams/stuns/kills/misses (PBA)= 1.9986376021798364/0.0/0.45049954586739327/0.05131698455949137/2.9981834695731155; rounds (PBA)=5.4959128065395095;}

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FASERIP-Slugfest

I mentioned Matteo Ferla’s DnD-battler yesterday.

https://github.com/bluetyson/FASERIP-Slugfest

I have started adapting this to work with FASERIP. Obviously the mechanics are different, but the basic framework is there, which is why I wanted to use it – all the hard work with creatures, encounters, arenas, running many simulations and tallying them just needs different characteristics and algorithms inserted.

Very much a work in progress, this is like version 0.01.

You can do this, however :-

————————————————————————————————————–
Battles: 100; Sum of rounds: 506; feline: 0.97 ± 0.02; rodent: 0.03 ± 0.02;
> Team feline = winning battles: 97; perfect battles: 0; close-call battles: 0;
> Team rodent = winning battles: 3; perfect battles: 0; close-call battles: 0;
————————————————- Combattants ————————————————
Rat: {team=rodent; avg hp=-0.56 (from 8); avg healing spells left=0.0 (from 0); damage done (per battle average)= 3.31; hits/misses (PBA)= 1.655/2.305; rounds (PBA)=3.975;}
Cat: {team=feline; avg hp=9.38 (from 16); avg healing spells left=0.0 (from 0); damage done (per battle average)= 4.28; hits/misses (PBA)= 1.62/2.595; rounds (PBA)=4.7;}
Rat: {team=rodent; avg hp=-0.56 (from 8); avg healing spells left=0.0 (from 0); damage done (per battle average)= 3.31; hits/misses (PBA)= 1.655/2.305; rounds (PBA)=3.975;}
Cat: {team=feline; avg hp=9.38 (from 16); avg healing spells left=0.0 (from 0); damage done (per battle average)= 4.28; hits/misses (PBA)= 1.62/2.595; rounds (PBA)=4.7;}

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DnDBattler

Matteo Ferla has written a python 5E D&D encounter simulator that I have been meaning to get to for some time. Too many real life models to deal with until now.

https://github.com/matteoferla/DnD-battler

He also has an online version here:- https://dnd.matteoferla.com/

http://squidonius.blogspot.com/

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Wilderness Simulator Stats – Python

I took the java version from https://cosmicheroes.space/blog/index.php/2021/12/27/wilderness-simulator-stats/

and converted to python – there’s a jupyter notebook here:-

WildernessEncounterSim – Jupyter Notebook

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Wilderness Simulator Stats

https://deltasdnd.blogspot.com/2021/12/wilderness-simulator-stats.html

https://github.com/danielrcollins1/WildernessEncounterSim

https://blogger.googleusercontent.com/img/a/AVvXsEiZNO5GyTtLj1jEZzeQGwR4zXi5a99JUClzZsiJl8h85vSN3nGdwVblRTkf1aQ8ImJa7KuNHWKlxgkbZHCZNTaSMQGMP9cX_EKjI3VnO9VdZ6xvG0Aea_pL3xgmpwhzplVokkKMXfikOeuogXu8F-9VSghSC0ctQBt0NRY7jruSeRWpb_M5Ul1ZRwGKQA=w200-h111

Wilderness Encounters: Clear (log chart)
Wilderness simulator distribution

“One more reflection on the Original D&D wilderness encounter charts. Last week we were using some tabulated charts to decide between two possible rules interpretations, and one was clearly much nicer. But that was based on just looking at the average EHD (Equivalent Hit Dice) for each encounter type, which is maybe a little sketchy. Since I’m obsessive about these things, I wrote a simulator program that actually rolls up the individual encounters (varying the number appearing by psuedo-random dice), and I had it spit out a thousand random encounters for each terrain type.”

This all looks like pretty reasonable results to me!

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Arena

https://github.com/danielrcollins1/Arena

Looking forward to giving this a shot [with hopefully minimal swearing at java]

ARENA – Java Package for Simulating Original D&D Combat

This code package provides routines for simulating combat in a tabletop Fantasy Role-Playing Game (FRPG) similar to Original D&D or closely-related games. Combat is done as per “theater of the mind” without tracking exact spatial locations; targets of attacks are chosen by random method (as per 1E AD&D DMG). In most cases, the intent here is to output aggregate statistics based on many trials of the game between men and monsters. This package provides only command-line, text output; there are no graphics or visualizations, and generally few options for output regarding individual combats.

For a precompiled JAR executable made from this package, and full JavaDoc pages, visit:

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Every Goddamn Vampire in this Goddamn Country of Mine

https://whosemeasure.blogspot.com/2021/12/every-goddamn-vampire-in-this-goddamn.html

“I wanted to make a generator that would show you the vampire society of a given city with a single click. But in order to do that, I needed to know how many vampires to put in it. The VtM revised rulebook provides a rule of thumb (that it almost always ignores) saying a densely population area should have one vampire for every 100,000 people in a community. But vampires aren’t lone wanderers. They’re organized in coteries of a size that the book is cagey about telling. A few levels of investigation in, I found myself searching out the metro population of the United States in 1990 to facilitate this growing project. I was no longer trying to generate a city. I was trying to generate every city in the US. I ran the generator once and came up with a vampire census 100 pages long. “

You could borrow this Vampire the Masquerade randomiser for lots of games!

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