fireredelitefour/index.html at main · aneesh331/fireredelitefour · GitHub

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    <title>FireRed E4</title>
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            <p id="title">Pokémon FireRed E4 Challenge</p>
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                <p id="important">Welcome to the ELITE FOUR!</p><br />
                <p>As all us Pokémon fans know, the most fun and challenging part of a nuzlocke or even standard run of the game is the Elite Four.</p><br />
                <p>So, I decided to make a <font color="#cd5241">Pokémon FireRed Elite Four</font> nuzlocke simulator in the form of a fully functional ROM Hack!</p><br />
                <p>Many thanks to the decompilation team at <a href="https://github.com/pret">pret</a> for making this project possible.</p><br />
                <p id="download"><strong><a href="https://github.com/AneeshBonthala/firerede4/releases">Wanna try it? Check out the RELEASES here!</a></strong></p><br/>
                <br/><br/>
                <p id="important">Becoming the CHAMPION</p><br />
                <p>As the challenger, you will face the <font color="#cd5241">Kanto</font> elite four as usual. But this time around, it won't be as easy.</p><br />
                <p>You are given a pseudo-random team of <font color="#cd5241">six Pokémon</font> at Level 55, also with randomized moves, and a limited bag of items and TMs.</p><br />
                <p>However, if any of your Pokémon <font color="#cd5241">faint</font> during the challenge, you will have no opportunity to revive them until you reattempt the challenge from the start.</p><br />
                <p>If you are able to overcome these adversities, then you truly do earn the honor of being Kanto <font color="#cd5241">Champion</font>.</p><br />
                <br/><br/>
                <p id="important">The POKéMON</p><br />
                <p>The selection pool of possible Pokémon for your team include all <font color="#cd5241">79 fully evolved species</font> from the Kanto region as well as the legendary birds.
                In other words, all strongest possible obtainable evolution lines before the Elite Four.</p><br />
                <p id="image"><a href="https://www.reddit.com/r/PokemonRMXP/comments/gh1vyi/gen_2_style_kanto_update_i_revamped_the_kanto/"><img src="images/starters.png"/></a></p><br />
                <p id="download">The ALGORITHM</p><br />
                <p>I've implemented a balancing <font color="#cd5241">algorithm</font> to make sure every random team has a fighting chance at the challenge.</p><br/>
                <p>1. For every instance of a Pokémon <font color="#cd5241">type</font> t on your team, the probability of again getting a Pokémon of type t is reduced.</p><br/>
                <p>2. The probability of getting two successive Pokémon of either both sub-median or both above-median <font color="#cd5241">base stat total</font> (BST) is lower than otherwise. The median among these 79 Pokémon is 485.</p><br/>
                <p id="image"><img src="images/pokemon-algorithm.gv.png"/></p><br/><br/>
                <p id="download">The DIFFERENCE</p><br />
                <div id="twoimage"><img src="images/randtypes.png"></img><img src="images/balancetypes.png"></img></div><br/>
                <p>As you can see, the average number of duplicate types generated with my algorithm is near <font color="#cd5241">halved</font>.
                    It also reduces the standard deviation by almost 20%. Now, you won't have all those pesky poison types all on one team.</p><br/><br/>
                <div id="twoimage"><img src="images/randbsts.png"></img><img src="images/balancebsts.png"></img></div><br/>
                <p>Since my BST balancing algorithm centers around the median, naturally the average BST of your team will be almost the same as a randomly
                    generated team. This average of 478, sensibly, is right in between the overall mean of 475 and median of 485.
                    But the <font color="#cd5241">standard deviation</font> is almost 18% lower, meaning you probably won't get a team with Gyarados, Dragonite, and Charizard all together. Sorry!
                </p><br/>
                <p id="download">What about my Pokémon's STATS?</p><br />
                <p>All IVs and Natures are purely randomized. EVs are set to 0 and experience gain is disabled 😈.</p><br/>
                <br/><br/>
                <p id="important">Their MOVES</p><br />
                <p>The selection pool of possible moves for each of your Pokémon include their entire level-up, TMHM, and tutor <font color="#cd5241">learnsets</font>.</p><br/>
                <p>I wanted to include some reroll factors as well in order to hopefully give your Pokémon a more balanced moveset. However, this one's way more up to chance.</p><br/>
                <p>There are four characteristics I rolled on as you can see in the figure below.</p><br/>
                <p id="image"><img src="images/move_al.png"/></p><br/>
                <p>These particular reroll incrementers were the product of much tweaking in order to reliably form results close enough to the samples below.
                    '<font color="#cd5241">Strong</font>' moves are the top seven moves in the Pokémon's learnset with the highest expected damage values (power times accuracy).
                </p><br/>
                <p id="download">The RESULTS</p><br />
                <div id="twoimage"><img src="images/randmoves.png"></img><img src="images/balancemoves.png"></img></div><br/>
                <p>Note that balancing the movesets with the reroll factor slightly eliminates some of the probabalistic biases that stem from the nature of a Pokémon's learnset being predominantly non-STAB, TMHM, status moves.
                    Although I would be able to modify the reroll factors for better results, factors too high will result in diminished performance as my code is built on <font color="#cd5241">recursion</font>.
                </p><br/>
                <div id="twoimage"><img src="images/teammovesrandom.png"></img><img src="images/teammovesbalance.png"></img></div><br/>
                <p>The same team; on the left with randomly generated moves, and on the right with algorithmically generated moves.</p><br/><br/><br/>
                <p id="important">Your BAG</p><br />
                <p>You are provided with:</p><br/>
                <div id="spriteimage"><img src="images/itemsprites/potion.png"></img><p>&ensp;15 potions</p></div>
                <div id="spriteimage"><img src="images/itemsprites/super-potion.png"></img><p>&ensp;12 super potions</p></div>
                <div id="spriteimage"><img src="images/itemsprites/hyper-potion.png"></img><p>&ensp;10 hyper potions</p></div>
                <div id="spriteimage"><img src="images/itemsprites/max-potion.png"></img><p>&ensp;3 max potions</p></div>
                <div id="spriteimage"><img src="images/itemsprites/full-restore.png"></img><p>&ensp;2 full restores; use them wisely!</p></div>
                <div id="spriteimage"><img src="images/itemsprites/ether.png"></img><p>&ensp;1 ether</p></div>
                <div id="spriteimage"><img src="images/itemsprites/elixir.png"></img><p>&ensp;1 elixir</p></div>
                <div id="spriteimage"><img src="images/itemsprites/full-heal.png"></img><p>&ensp;5 full heals</p></div>
                <div id="spriteimage"><img src="images/itemsprites/x-attack.png"></img><p>&ensp;2 random battle items</p></div>
                <div id="spriteimage"><img src="images/itemsprites/pp-up.png"></img><p>&ensp;1-4 pp ups at random</p></div>
                <div id="spriteimage"><img src="images/itemsprites/pp-max.png"></img><p>&ensp;25% chance to get 1 pp max</p></div>
                <div id="spriteimage"><img src="images/itemsprites/leftovers.png"></img><p>&ensp;2-5 random held items</p></div>
                <div id="spriteimage"><img src="images/itemsprites/normal.png"></img><p>&ensp;10 random TMs</p></div><br/>
                <p>All healing items will respawn in your bag after each attempt!</p><br/><br/><br/>
                <p id="important">My CODE</p><br />
                <p>In case you were wondering, which is likely by the fact that you scrolled down this far, here's a brief description of how I programmed this game.</p><br/>
                <p>I implemented the above algorithms for Pokémon and move generation in a series of <font color="#cd5241">C</font> getters, setters, and recursive generators which encapsulate into one function that I injected into this <font color="#cd5241">Cooltrainer's</font> event script.</p><br/>
                <div id="twoimage"><div id="gap"><img src="images/pokefirered-0.png"></img></div><div id="gap"><img src="images/pokefirered-2.png"></img></div></div>
                <div id="twoimage"><img src="images/pokefirered-1.png"></img></div><br/>
                <p>But, of course, data creation and parsing was done in <font color="#cd5241">Python</font>.</p><br/>
                <p>Finally, a special thanks again to pret for decompilation, and <a href="https://www.youtube.com/@TeamAquasHideout">Team Aqua's Hideout</a> for help.</p><br/>
                <p>If you're interested in learning more, visit the repository link at the top of the page, or contact me on discord as linked below.</p><br/><br/>
                <p id="important">Thank YOU and please ENJOY!</p><br />
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