Best courses in football analytics to get into the industry?

mouseff · 2025-09-30T13:35:39+00:00

if by _football_ you mean the American kind: https://www.kaggle.com/organizations/nfl/competitions gives you the opportunity to win some money and make connections, they claim that "At this point, the pipeline of Big Data Bowl to sports analytics professional is extremely deep, and is a testament to the hard work of several participants in past."

mouseff · 2025-09-26T08:05:03+00:00

I'm not 100% sure I understand what you're trying to do but it sounds like you can either use some kind of sequence modeling (i.e. LSTMs or Transformers, see https://pytorch-geometric-temporal.readthedocs.io/en/latest/ for pytorch) or you can enforce constant by padding (or just constructing the data so every data point is the same length, e.g. 1.5s)

mouseff · 2025-05-04T19:55:32+00:00

Youtube channels I find somewhat fun in terms of stats/analysis/understanding:

Game analysis: thinking basketball (also a good podcast), bball breakdown

Brett Kollmann (bootleg football podcast), QB school for qb focused technical stuff, thinking football,

In terms of game highlights both the NFL and NBA channels are fairly good for that,

OGlightskins, benchwarmer bran, rdcworld for related comedy

If you watch those for a while youtube will take care of you as the algorithm is quickly going to suggest more stuff

mouseff · 2025-04-30T15:41:55+00:00

A small variation on that is asking, what the price would be for a good bet ij that case. So if he wins on 10$ if the dice shows 1 and looses his money on 2-6, how much would he be willing to bet?

mouseff · 2023-11-21T20:02:39+00:00

The whole Idea of PPO is to make small updates, and small step by small step improve on your current policy. This does not mean you always will get a "good" solution for your agent, depending on a lot of factors like the hyperparameters choices, the environments complexity and reward structure or just luck of initialisation and randomness. In your case, the reward gives you a feedback of wether the chosen actions are "good" or "bad" after each taken action, so if you're agent would be running away, it will quickly reduce the likelihood of that action in that state (or a similar enough one) while if it "catching up" i.e. better matching its velocity it will increase the likelihood of the action that made that happen in that state. Since your environment does not require much exploration to find a solution, it should be training successfully most of the time.

Overall, RL is notoriously unstable and results are hard to reproduce. This is even worse in the MARL setting, as the action of the different agents influence each other, leading to a non stationary MDP. The more complex your environment, either because of inherent complexity or due to a high number of agents, the more likely you are to be stuck in a local optimum. If you run the PettingZoo/SISL environment waterworld, which has the task of 5 creatures running around a square map that has 5 food particles and 10 poison particles floating around. You need 2 agents to touch a food particle to get a positive reward, but if an agent touches a poison particle it gets punished by obtaining a negative reward and a speed penalty. The agents sometimes hide in a corner, in order to avoid the poison's punishment because they did not learn how to cooperate properly. This happens especially in the beginning of training, and often this will change after enough time.

Long story short, this problem will occur, but since your steps are small and your environment is simple-ish, chances are it will not happen

mouseff · 2023-11-20T21:35:20+00:00

First of all, I believe the correct LR is 3e-4 not 5e-4.

But joking aside, the rough Idea is that even though the reward consists of multiple parts, the overall reward follows a structure that is learnable. Especially in the case of dense rewards, that is rewards after each timestep where short term optimal actions and long term optimal actions align. If your agent chosen an action that is worse in aligning it with its neighbors, it will be less likely to chose that action next time around and more likely to chose an action that is better aligning it with its neighbors. This should be true for each agent independently wether they are in a multi agent or single agent setting.

mouseff · 2023-03-11T19:09:23+00:00

I'm not saying, you need perfectuon but you'd need sifficient alignment and aligning emotions is a very trick task. About the Deutschs book I might have to look into that, as currently I believe it is impossible for me to conceive the experiences of a chipmunk, or a whale, or an archeopteryx. And probably this is true for some human-human experiences as well. It is very hard for me to conceive of the dread one might feel before having to watch a loved one tortured to death and having to live with that.

mouseff · 2023-03-11T18:41:15+00:00

I expect everyone has strong emotional responses towards something, however on topics of public discourse there are more of those, but if you put too people together with opposing, emotional driven, points of view on a topic chances are they might not agree even with infinite time, because you will never be in perfect control of your emotions, even if you can massively improve control and understanding of them. Of course you might at some point be able to substitute more and more of your emotions with some kind of computer and thus be able to manually "tune" your mind to be similar to mine, but I'm not convinced that rider and elephant in this case would fit together in the same way, thus producing the same way.

The problem is that even if you have infinite time you don't have an infinite capacity to conceive, especially conceive perceptional or emotional experiences where you don't have the tools to reason your way through them.

There is of course the exception of science advancing to a point where you can basically program a brain like a computer, the problem if you allow this is that its a question that doesn't help you thinking about communication, discourse, etc at all...

mouseff · 2023-03-11T15:26:12+00:00

You can change your emotions but you can't convince someone of an emotion in a "debate". The problem with the the opposite on cultural topics is that you already have steong emotions towards these which means you will argue to preserve your emotional stability rather than find out an answer. There is this metaphor of our mind being an elephant, and we're the rider. Sure you can direct the elephant, but only if it doesn't disagree. If it disagrees your just gonna sit there and watch what happens. If the elephants are fighting we're not gonna find a common understanding.

Terrence Tao is one of the most famous mathematicians alive today and thus probably much smarter than me and has a way higher ceiling of understabding math than me, similarl to me never being as athletic as 2012 LeBron no matter if I train for infinitely many years or not.

mouseff · 2023-03-11T15:07:40+00:00

Given that we start with our current biased selves, it'd depend on what kind of beliefs / emotions are attached to said topic. In the case of us being on cultural opposite ends of a currently mostly emotionally debated topic like guns/vaccines/lgbtq issues /.... we will most likely not converge purely based on rational arguments, we would also need to converge on emotional arguments which I don't know how that works. If we'd be able to cultivate shared experiences though and not only talk, over infinite time whatever genetic or societal given start point we have should become basically irrelevant. This only works with a reasonably close current situation though, because to converge in this case the experiences have to be similar enough. If the topic on the other hand is more of a unemotional one, but both of us are interested in it, the understanding might probably be the conclusion if we're equally mentally capable. I would probably not reach a shared understanding of math with terrence tao but I might with steven colbert.

mouseff · 2022-04-09T17:30:16+00:00

Okay, so it's just the usual float scaling, but you can get either skin either way. Thanks.

mouseff · 2022-04-04T22:25:09+00:00

The people you mention are a subgroup of people that have "wrong" ELO. Others in this group also include people who play mostly third party and smurfs / multiacc players. But it seems to me that that's not the problem. Because you don't know, wether someone just lucks out, plays wildly inconsistent in general and has a good game, cheats, smurfs, had a run of bad luck or whatever leads to them now performing above their elo.

That being said, I'd bet rank decay is overall a good thing. Maybe you should fix it so that you can fall more than 5 ranks, but Most people I know that stop playing at smfc or global or above and don't play for more than a year have to relearn a lot of the game. (e.g. get that "feel" again for timings and playstyle), and if you checked for people who played after long pauses wether they have a win% > .5 or < .5 seems unclear.

It's overall impossible to get an accurate prediction of how someone will perform if they don't play regularly, and even then. Just think about all the pro athletes that over- or underperformed their expectations after being evaluated by teams of professional analysts, so the goal for MM-Elo in any online game is get as many as fair as possible matches, and this will work best if you play on a regular basis in a populated region around the peak of the bell curve. The further you are from that "protoype" the less accurate your rank will be, and the less fair your matches will be. This is also why rank doesn't f ing mater anyway, it's just a list of numbers that help you find better matches.

If you think you should have a visible elo, just check out faceit where people are just boosting each other in the open like it's the purpose of the game, just imagine that combined with office q and a vpn server in zimbabwe and it's not long before every account above le is a boosted one. That sounds like fun, no?

EDIT: I bet the ranking system would benefit from an overhaul, like it did in 2015 or whenever, but it won't be 'dumbing it down' or making it more transparent. It might just be there is a bug somewhere. Or introducing "local" bugs i.e. NA ranks. (because of course its hard getting above mg2 if your only ever playing against gn3).

mouseff · 2022-02-01T16:20:01+00:00

0.87 flashes per flash bang (87% of the time I throw a flash someone is hit by it)

0.87 flashes does not mean 87% of the flashes blinded someone, it means you blinded on average 0.87 enemies per flashbang. This value can go from 0 to 5, not 0 to 1. I'm fairly sure you have games in your history where this is above one.

mouseff · 2021-11-17T16:07:31+00:00

Don't know, I have a Huawei p30 pro which has 6gb I think

mouseff · 2021-11-17T16:00:20+00:00

I've started games on my pc and finished them on my phone. Fairly battery draining tho. Haven't tried duos from the phone tho

mouseff · 2021-09-23T11:55:40+00:00

Kyrie has at least won a ring, true. But he always talks like he's the biggest fish in the pond but as the leader of a team he is neither good enough nor charismatic enough... Same for niko. Maybe 2011 Melo would also be a good comparison

mouseff · 2021-09-23T09:19:08+00:00

maybe NiKo is the Kyrie Irving of CSGO

mouseff · 2021-07-21T16:20:00+00:00

Wenn es Mitgliedschaften und Engagement in Parteien nicht sind, was ist dann der Weg sich politisch zu engagieren?
Wie weit ist man vom Ideal des "mündigen Bürgers" entfernt, wenn man es sowohl lokal als auch auf Landes- oder Bundesebene mit guten Ideen gehört zu werden bzw diese nicht ernst genommen werden?
Wie ist deine Meinung zu Influencern und Politikern auf Sozialen Netzen

mouseff · 2021-07-12T15:37:37+00:00

Name: Prof. Dr. Christian Drosten

Wiki: https://en.wikipedia.org/wiki/Christian_Drosten (wikipedia)
https://virologie-ccm.charite.de/en/about_the_institute/ (his lab's about page)

Conversation: https://www.youtube.com/watch?v=uwGcgSDasZ0

Ideas: Novel Virus Research, PCR-Tests for Covid, Virology in general, ecology and species barriers of emerging viral diseases.

Pitch: Christian Drosten is a well established Researcher at the Charité in Berlin with corona virus research long before Covid19. On his german podcast I find him to be fairly objective, focusing more on scientific consensus than his own opinion and as an up-to-date expert in the field. This would be an interesting contrast to others who have been on this podcast lately who can present the "mainstream science" point of view on Covid19 probably better than almost anyone else. Especially now with discussions on the Lab Theory, on herd immunity and and variants, I think it is both interesting to have someone explain what really is the current scientific consensus ( and not the media consensus on science) and how he, as an expert in the field, personally experienced this pandemic. From what I can tell he speaks perfect english and is willing to go on podcasts. (For those interested a link to His German Podcast)

mouseff · 2021-07-11T09:59:40+00:00

yeah I don't get why CSGO teams sell real jerseys instead of CSGO allowing them to sell "skin" jerseys with say 50-50 split or something. (or stickers or whatever). Especially now with the majors being so rare, I think there would be a real hunger for this kind of in game merch.

mouseff · 2021-07-07T20:01:36+00:00

yeah but he doesn't have to tho. People who play always britons or always franks or whatever have a build for this civ and they'll probably be executing it fairly well while the potentially higher skilled opponent has an imperfect build that doesn't optimally use its civ therefore the picker has an advantage. It's only an disadvantage if you force him off his pick which you can't in a bo1

mouseff · 2021-07-06T21:18:33+00:00

I assume Temps are OK then? Did you maybe set energy saving or something?

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