Valorant pro edpi12/24/2023 ![]() ![]() While technically, yes, there could be some ulterior causation such as peer pressure from the ex-pros, but given the inherent stubborness and experimental nature of high-elo players, it is my opinion that the higher likelihood situation is that over decades highly skilled players have converged on the local optima, a near-best distribution, of sensitivities that optimise for tac-fps games. As we see a statistically significant deviation from the general population, there is room to challenge this view. The purpose of this post is highlighting that if this were the case, you would likely see similar distributions between pros and general population. Some people suggest things like sense/crosshair/etc don't actually matter and you should just play with what is comfortable. Of course I cannot say that this will remain optimal forever, rather that the data strongly supports choosing a sens in this range. This is strongly indicative that choosing an edpi within 2 standard deviations of 258 has emerged as the local optimum. However, 1) FPS games are not new, 2) experimentation is so so prevalent within the gaming community, 3) data suggests casual players tend to start at higher sense than pros.Ĭombining these 3 factors, it is fair to argue that over the decades of FPS people have been experimenting to get a competitive advantage, and time and time again a player's sensitivity tends towards lower values (within reason, i.e. Yes you're absolutely right these are descriptive stats and in this case cannot in and of themselves prove a causation, reject some intractable null-hypothesis, or an objective right-wrong, only correlation. With that said, I'll try to address your points. I didn't do a deep device into more complicated metrics because I just wanted a light, brief read with some nice figures for reddit to peruse and take a key, easy to understand point from, which was: "Pros overwhelmingly converge on a small distribution of eDPI, if you vary from this wildly, you're very likely shooting yourself in the foot' which is a statement I stand by. I would emphasise that this is a very high level, light post. But I also got down instantly and didn't do the slow incremental nonsense people like to recommend around here. I found it easy and rewarding from the beginning. Maybe some people have a harder time at it than some. The idea of hitting some sub-millimeter target instead of having a few millimeters to work with seems way harder to me, and the pro data bears that out.Īs for learning from scratch, I'm not sure where the idea comes from. This area can get absurdly small at high sensitivities and conversely give you lots of room at really low sensitivities. The lower the edpi the larger the target area on your mouse pad where you are still hitting the head. That target position is literally a target on your pad with a radius based on your edpi and the size of the head in degrees on your screen. That unsurprisingly translates to moving your mouse from its current position to a new position. Let's say you wanna flick from your current crosshair position to someone's head. I'll always view it from the opposite point of view. While we often see people tout things like "its personal preference", this seems to be a bit of a misnomer as across the entire set of pros sampled, the great, great majority fall within the bounds of 200-300. ![]() In other words, if your eDPI is over 500 you're almost definitely doing something wrong, and if you're under 150-160 you're equally likely to be hurting your chances of success. The wider player base has a much larger variance in sensitivities (as you'd expect), as well as having a much higher average sensitivity (mean 442 and median 345). Pros overwhelming fall within the 200-450 eDPI range, with a mean of 282 and a median of 256. Furthermore, there was far more data available for pro players. This means the pro data is a little more accurate. 201-400) so if there were, for example, 15 people in that category, I took a uniform distribution between that range and sampled 15 data points. Side note: the reddit data was categorical (e.g. To calculate your eDPI, simply multiply your mouse DPI by your in game sensitivity. Grabbing the data from, I threw together a quick script to compare sensitivity distributions. Hi guys, after seeing this post earlier today, I started wondering how the sensitivity of pros differs from your average player. ![]()
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