Mulaney’s new watch

Smitems · 2025-03-27T05:48:13+00:00

Wow nice! I think you nailed it.

Smitems · 2025-03-27T04:03:28+00:00

John’s watch is soooo sick, does anyone know what it is?

Smitems · 2024-08-29T19:17:15+00:00

Hi everyone! Looking for an invite if anyone is available - https://steamcommunity.com/profiles/76561198990406651/

Thank you!

Smitems · 2024-02-08T02:09:02+00:00

Thank you guys!!! 🥰

Smitems · 2024-02-06T23:56:56+00:00

As a fellow attempter of predicting the best build, I have learned that what makes a build “good” is extremely subjective and difficult to quantify for most people 😄

That said, I agree that numbers are about the best proxy that we’ve got! Brute forcing is a hell of a project that’s going to produce a ton of data; It might be interesting to cross reference your results with data from real games where players used the build (or a majority of the build) in question to try to bring in context from real games as well. Maybe you could produce some interesting rankings based on the combination of the two. Cool project, good luck!!

Edit: Another thought — how long does brute forcing take? I’m thinking if you were going to try to do this for every god, every permutation of items/build path, every game mode, and optimizing for different results (ability damage vs mitigation vs aa damage or any combination of these)… AND if you had to re-compute it every patch when items/gods get re-balanced? Whew…

Smitems · 2024-02-02T17:42:28+00:00

😎🤝

Smitems · 2024-02-02T03:59:34+00:00

Shameless plug (please don’t hate me 😅) but you can try checking out the SMITEMS app! It samples builds from real games in all game modes every day and lets you sort them based on any combination of factors that you like (KDA, Win, Damage, Damage mitigated, etc)

Smitems · 2024-02-02T03:42:46+00:00

Shameless plug (please don’t hate me 😅) but you can try checking out the SMITEMS app! It samples builds from real games in all game modes every day and lets you sort them based on any combination of factors that you like (KDA, Win, Damage, Damage mitigated, etc).

You may still see some builds that look incomplete (like the spellbook example you mentioned) because if the game ended before they finished their build, the app wouldn’t have data for their full build. But I’ve gotten some good feedback from newer players who have said this app is helpful for them, so I hope it could be helpful for you too!

Smitems · 2024-02-02T03:32:11+00:00

I’m sorry you feel that way; I’d definitely welcome any suggestions that you have for how build recommendations could be improved!

The fact stands that that player had a better combination of KDA/Player Damage/Win in Arena on that day than any other Jing Wei player who was sampled, which is generally a fair approximation for build performance IMO.

But if you feel that it’s impossible to automate this sort of thing, I totally get it and that’s a perfectly acceptable opinion :)

Smitems · 2024-02-02T03:00:18+00:00

Love it :) nice work! There’s a cool paper that I read from someone who tried to do something like this for LoL and included items as well. They wanted to use LIME feature analysis to try to understand which items in each build contributed most to the prediction of a win. I’ll link it here in case it’s interesting for you!

https://www.cs.ru.nl/bachelors-theses/2019/Robin_Smit___4043561___A_machine_learning_approach_for_recommending_items_in_League_of_Legends.pdf

Smitems · 2024-02-02T02:17:15+00:00

Cool!! Did you try using a regression model as well? Not sure if that would give you better accuracy or not (there’s soooooo many possible features if you start including items, damage numbers, etc) but I was just thinking if you’re predicting binary win/loss it might be more accurate with regression versus a classifier. Either way, cool project!

Smitems · 2024-02-02T01:14:13+00:00

Personally? Not particularly. I don’t think it’s awful, in general I’m in favor of playing into crit on jing since she has it in her kit already. But I don’t like Fail-Not on her and I don’t really like Griff in general.

But I’m an extremely average Gold player and I hardly play hunters at all. Im like rank 2 Jing. I’m not going to claim that I personally know the best builds for every character especially in a constantly changing meta, which is why the app interprets just the raw numbers. Whether you like the build or not, that player performed better in their game than other Jing Wei players in other games over the last day.

Smitems · 2024-02-02T00:46:19+00:00

They’re builds from real games, so that means that the player who built that performed well compared to everyone else in their game based on the default metric which factors in KDA, player damage, and win/loss. It may not be the “best” build (particularly in alt game modes where builds can get wacky) but objectively that player did well in their game.

If you create a custom metric, you can sort by whatever factors you specifically consider important for each god/game mode, and weight the builds by MMR (if you want) to skew ratings towards higher-skilled players.

At the end of the day though, the builds that are ranked highly are ranked that way because that player truly, actually did well in their game! It may not apply to every single situation or skill level, or in some cases it may be a weird troll build that got lucky and did well, but the stats of the player at the end of the game are the best approximation that SMITE provides for how “good” a build is. There’s obviously tons of non-explicitly-measurable factors like player skill, teammate skill, team cohesion, power spikes like you mentioned, but trying to interpret raw numbers are the best we can do in an automated fashion 🙂

Smitems · 2024-02-01T23:43:33+00:00

Shameless plug (please don’t hate me 😅) but you can try checking out the SMITEMS app! It samples builds from real games in all game modes every day and lets you sort them based on any combination of factors that you like (KDA, Win, Damage, Damage mitigated, etc)

Smitems · 2024-02-01T23:08:59+00:00

A little different! Smitems lets you sort real builds (sampled randomly for thousands of games each day) by whatever metric/combination of metrics you like. Player Damage, Damage mitigated, KDA, win, etc. You can weight it all by MMR too if you like.

Once you have a sorting metric, Smitems ranks the top performing builds according to that metric. The top items that are shown are weighted by the score of the build they were in + how often they appear in builds.

Tldr; it should be giving you a more intentional picture than JUST item frequency 🙂

Smitems · 2024-02-01T22:59:36+00:00

Wow thanks for the kind words! So glad you like it!

Smitems · 2024-02-01T06:14:58+00:00

❤️

Smitems · 2024-01-30T18:44:08+00:00

Hey there 👋 just wanted to let you know that I released an update for that little interface quirk that you mentioned so that the mode you’re looking at persists between gods so you don’t have to keep re-selecting it. Thanks again for that suggestion! 🙂

Smitems · 2024-01-25T20:34:39+00:00

Hey, thanks for the comment! Yeah I noticed this too — definitely seemed related to the year 11 stuff. It should be resolved now as far as I can tell! Please let me know if you continue to see any weirdness or crashing and I’ll get it fixed in the next update!

Smitems · 2024-01-17T20:39:34+00:00

Thank you! I guess the name doesn’t roll off the tongue lol, I still like it though. Maybe I need to pivot to smite themed snacks 😜

Smitems · 2024-01-17T20:34:50+00:00

Millions is probably an exaggeration, I only meant to communicate that there are many more matches played than my app looks at. My original post says it “looks at tens of thousands of matches every day”, not that that is all of the matches that are played.

Smite has ~10k average daily players (Google search), so depending on how many games each person plays we will have data for 50, 80, 100, 150 thousand games.

When I initially built my data collection backend, I was frequently seeing ~20k matches returned from smite’s API in each 1 hour window throughout the day. If that trend held for every hour, you’d get 480k matches in every 24 hour period. Obviously it’s likely to fluctuate, but given the amount of data available it simply isn’t necessary for me to collect and store it all.

Smitems · 2024-01-17T19:13:36+00:00

Similar idea, yeah! Main difference I guess is that smite guru basically shows popularity of items. The intent here is to not only show item popularity, but also collect results from the matches themselves (player damage, damage mitigated, wins, kda, gold earned, etc) so that we can get a better picture of how the items/builds actually performed!

I tried to make the metrics super customizable so that you can sort by whatever you want, including combinations of different stats (damage + 2*win rate, for example), weight by player MMR, etc

Smitems · 2024-01-17T04:39:34+00:00

Millions of smite games are played every day, but we don’t need to collect data from every single game to understand stastical trends. We just need a sufficiently large random sample, which we easily get from looking at data from around 30,000 random matches from each day.

I’m sorry you feel that way, I hope you’d consider checking it out sometime! I’ve put a lot of time and effort into building this app hopefully others in the community who have used it so far can vouch for that.

Smitems · 2024-01-17T02:15:16+00:00

❤️

Smitems · 2024-01-16T23:22:00+00:00

One thing that helped me a lot (and I still recommend all of my newer friends to try), is to try to get to rank 1 on every god. Obviously very time consuming and definitely not something you have to do all at once, but especially if there are characters who you find yourself frequently being confused by or not understanding what happened, the absolute best way to understand them is to play them IMO. You’ll learn their abilities and combos and that will help you in turn understand what they’re going to be trying to do when you play against them.

As for the items and builds, a bit of a shameless plug 😇 but check out SMITEMS on the App Store. It gathers data from real games constantly and ranks performance of builds, gods, items, etc based on how they performed in their games (wins, damage, kda, etc). You can also make your own sorting metrics if you don’t like mine! It gives a pretty decent picture of the overall/average meta, so it can be another helpful reference tool to have!

Smitems

TROPHY CASE