Slot EngineAnalyzing your Game
Get insights on your game
Introduction
Configure analysis to get useful statistics about your game.
Analyzing your game is quite simple:
Simply adjust your runTasks() configuration to include analysis:
game.runTasks({
// ...
doAnalysis: true,
analysisOpts: {
gameModes: ["base"],
// Optionally analyze hit rates of tagged simulations
tagStats: [
{ groupBy: ["symbolId", "kind", "spinType"] }, // Hit rates of win combinations
{ groupBy: ["criteria"] }, // Hit rates of criteria
],
},
})Analyze Hit Rates
Using the option tagStats, you can generate the stats_tags.json file to get
a breakdown of hit rates for simulations with arbitrary tags.
Hit rates are calculated considering the weights in the lookup table.
tagStats is an array of configurations, where a config item is built like this:
interface TagStatsConfig {
/**
* Properties to group by from the tagged search entries.
* E.g. `["symbolId", "kind", "spinType"]` for symbol hit rates.
*/
groupBy: string[]
/**
* Optional filter to only include tags matching these values.
*/
filter?: Record<string, string>
/**
* Optional custom name for this stats group in the output.
*/
name?: string
}The resulting file will look like this:
[
{
"gameMode": "base",
"groups": [
{
"name": "symbolId_kind_spinType",
"groupBy": ["symbolId", "kind", "spinType"],
"items": [
{
"key": "L3|5|basegame",
"properties": {
"symbolId": "L3",
"kind": "5",
"spinType": "basegame"
},
"count": 39979,
"hitRateString": "1 in 12",
"hitRate": 11.739591272077966
}
// ...
]
}
// ...
]
}
]Output Files / Publish Files
The output will be written to the __build__ directory.
stats_payouts.json
Contains, per win range, how many simulations fall into it, how many unique payouts it has, and the chance of hitting it during play.
stats_summary.json
Contains various statistics about volatility, hit rates, etc.
stats_tags.json
Arbitrary hit rate analysis.
Use of AI on this page: Some texts were improved with or written by AI.