Discover What Online Game Players Can Predict and What Stays Truly Random

The first time I wrote a line of code that generated a random number, I was building a tiny dice roller for a tabletop group. It took one line in JavaScript, and I remember feeling slightly uneasy about how little I understood what that line actually did. Years later, I still get questions from players who want to know whether the random parts of their favorite online game can be predicted. The honest answer is that some parts can, and some cannot, and knowing the difference saves a lot of frustration.

A reader recently sent me a long message about this. He had been comparing forecasts from several sources, including streamers, forum regulars, and prediction pages like ankertoto, and he wanted to know which kinds of forecasts could possibly be right. Instead of answering source by source, I sorted the question into two columns, the predictable and the random, and explained each with the same tools a web developer uses.

How Computers Make Randomness

Most games use a pseudorandom number generator. It is a function that takes a starting value, called a seed, and produces a long sequence of numbers that look random. Given the same seed, it produces the same sequence every time. That sounds predictable, and in a narrow sense it is. In practice, games pick seeds from things like precise clock readings or hardware noise, and they run the generator on the server where players cannot see it.

So the sequence is technically determined, but nobody outside the server knows where in it you are. For a player, that makes each roll effectively unpredictable. Modern generators are designed so that seeing past results tells you nothing useful about the next one. If you have read our explainer on how online games are built and run, this is one reason important calculations happen on the server rather than on your device.

The Predictable Column

Plenty of things in online games are not random at all, and these are where study pays off.

• Fixed timers. Many objectives respawn on a set schedule, such as every 5 minutes. Tracking that schedule is pure skill.
• Published odds. When a game states that an item drops 2 percent of the time, you can predict that over 500 attempts you will see roughly 10 drops.
• Map geometry. Routes, sight lines, and choke points do not change between matches.
• Player habits. Opponents at a given skill level tend to make similar choices, which you can learn to anticipate.
• Systems with pity counters. Some games guarantee a reward after a set number of failures, making the worst case fully predictable.

Notice that every item here is either stated by the game or observable on the screen. Prediction works when you have real information.

The Random Column

Other things are genuinely random from your point of view.

• Whether the next drop, roll, or critical hit succeeds.
• Which specific item appears from a random pool.
• The exact moment a random event fires within a time window.
• Short streaks of good or bad outcomes.

For these, the best you can do is know the average. If a drop rate is 2 percent, the chance of getting nothing in 100 tries is still about 13 percent. That is not rare. Roughly one player in eight will hit that dry spell, and many of them will be convinced the game is broken or that someone has found a pattern they missed.

A Small Experiment You Can Run

If you know even a little code, you can see this for yourself. Write a short loop that runs 100 attempts at a 2 percent chance, counts the successes, and repeats the whole thing 1,000 times. When I ran this in a browser console, the number of successes per 100 attempts ranged from 0 to 7, with 2 being the most common result. Three or more appeared about a third of the time. Zero appeared about 13 percent of the time.

That spread is what randomness looks like. No forecast could have told any single run which result it would get. Any source that claims to predict the next individual outcome is claiming something the math does not allow.

Why People See Patterns Anyway

Human brains are built to find patterns, and random sequences contain plenty of accidental ones. Three successes in a row feels like a hot streak. Ten failures feels like the game punishing you. People then remember the forecasts that happened to match and forget the ones that did not, so any forecaster who makes enough guesses will build a list of impressive hits.

Websites see a similar effect in analytics. Traffic on a small site jumps and dips for reasons that are mostly noise, and owners often credit a change they made the day before. Our article on why adding more keywords rarely helps rankings shows how easily random swings get mistaken for cause and effect.

The Advice We Push Back On

A common suggestion among players is "after a long losing streak, you are due for a win." This is the gambler's fallacy, and it is wrong for any fair random system. Each roll is independent. Ten failures in a row do not make the eleventh more likely to succeed. The exception is a game with an explicit pity system, which is a published rule rather than a hidden tendency, and that belongs in the predictable column.

The fallacy causes real harm because it encourages people to keep going after they planned to stop, hoping the streak will turn. A healthier habit is to decide your number of attempts in advance, using the published odds to set expectations, and stick to it regardless of how the streak feels.

Putting the Two Columns to Work

Spend your learning effort on the predictable column. Memorize timers, study maps, read the stated odds, and watch how opponents behave. These skills compound. For the random column, accept the average and manage your expectations. Plan for dry spells, because they are a normal part of the distribution.

When you hear a forecast, ask which column it belongs to. A prediction about a respawn timer can be right. A prediction about the next random roll is a guess wearing a costume. Knowing the difference is one of the most useful pieces of technical literacy a player can have.