osu! Performance Points (PP) Calculator
Estimate your potential Performance Points (PP) for an osu! beatmap based on key performance metrics. This calculator uses a simplified model to illustrate the impact of Star Rating, Accuracy, Combo, Misses, and Mods on your PP gain.
function calculatePP() {
var starRating = parseFloat(document.getElementById("starRating").value);
var accuracy = parseFloat(document.getElementById("accuracy").value);
var maxComboAchieved = parseInt(document.getElementById("maxComboAchieved").value);
var totalObjectsInMap = parseInt(document.getElementById("totalObjectsInMap").value);
var numMisses = parseInt(document.getElementById("numMisses").value);
// Mod checkboxes
var modHD = document.getElementById("modHD").checked;
var modHR = document.getElementById("modHR").checked;
var modDT = document.getElementById("modDT").checked;
var modFL = document.getElementById("modFL").checked;
var modEZ = document.getElementById("modEZ").checked;
var modHT = document.getElementById("modHT").checked;
// Input validation
if (isNaN(starRating) || starRating <= 0 ||
isNaN(accuracy) || accuracy 100 ||
isNaN(maxComboAchieved) || maxComboAchieved < 0 ||
isNaN(totalObjectsInMap) || totalObjectsInMap <= 0 ||
isNaN(numMisses) || numMisses totalObjectsInMap) {
document.getElementById("resultPP").innerHTML = "Max Combo Achieved cannot exceed Total Objects in Map.";
return;
}
if (numMisses > totalObjectsInMap) {
document.getElementById("resultPP").innerHTML = "Number of Misses cannot exceed Total Objects in Map.";
return;
}
// — Simplified PP Calculation Logic —
// This is a simplified model and does not perfectly replicate osu!'s complex official algorithm.
// 1. Base PP from Star Rating
// Scales roughly from ~100pp for 2.5* to ~1000pp for 7.5*
var base_pp_sr = Math.pow(starRating, 2.6) * 100;
// 2. Accuracy Factor
// Accuracy is very important; higher exponent makes it more impactful.
var acc_factor = Math.pow(accuracy / 100, 4);
// 3. Combo Factor
// Penalizes not getting full combo, but not as harshly as misses.
var combo_ratio = (totalObjectsInMap > 0) ? (maxComboAchieved / totalObjectsInMap) : 0;
var combo_factor = Math.pow(combo_ratio, 0.8);
// Ensure combo factor doesn't drop too low if combo is very low but misses are few
combo_factor = Math.max(0.2, combo_factor);
// 4. Miss Penalty Factor
// Each miss hurts more on higher SR maps. 0.008 is a tuning constant.
var miss_penalty_factor = Math.max(0, 1 – (numMisses * 0.008 * starRating));
if (numMisses === 0) {
miss_penalty_factor = 1.0; // No misses, no penalty
}
// Raw PP before mods
var pp_raw = base_pp_sr * acc_factor * combo_factor * miss_penalty_factor;
// 5. Mod Multiplier
var mod_multiplier = 1.0;
if (modHD) mod_multiplier *= 1.06;
if (modHR) mod_multiplier *= 1.10;
if (modDT) mod_multiplier *= 1.12; // DT also increases SR, but for this simplified model, we apply a direct PP multiplier
if (modFL) mod_multiplier *= 1.15;
if (modEZ) mod_multiplier *= 0.5;
if (modHT) mod_multiplier *= 0.3;
// Final PP calculation
var final_pp = pp_raw * mod_multiplier;
document.getElementById("resultPP").innerHTML = final_pp.toFixed(2) + " PP";
}
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#resultPP {
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Understanding osu! Performance Points (PP)
Performance Points (PP) are the primary metric used in the rhythm game osu! to rank players and measure their skill. Gaining PP is a core objective for many players, as it directly contributes to their global ranking.
How PP is Calculated (Simplified Model)
The official osu! PP calculation algorithm is complex and constantly updated, taking into account numerous factors like aim, speed, accuracy, and even specific map characteristics. This calculator provides a simplified model to help you understand the general impact of key performance indicators. It estimates PP based on:
- Star Rating (SR): This is the map's difficulty, determined by factors like note density, spacing, and rhythm complexity. Higher SR maps offer more potential PP.
- Accuracy (%): How precisely you hit the notes. Higher accuracy (closer to 100%) significantly boosts PP, as it demonstrates control and precision.
- Max Combo Achieved: Sustaining a long combo without breaking it is crucial. The closer your max combo is to the total objects in the map, the better.
- Number of Misses: Each miss severely penalizes your PP gain, as it breaks combo and indicates a significant error.
- Mods: Game modifiers can drastically alter a map's difficulty and, consequently, its PP value.
Key Factors Influencing PP
Let's break down how each input affects your potential PP:
- Star Rating (SR): The higher the SR, the more base PP a map can offer. Playing maps slightly above your comfort zone is a common strategy for improvement.
- Accuracy: This is arguably the most critical factor. A 99% accuracy play will yield significantly more PP than a 95% accuracy play on the same map, especially at higher SRs. Strive for high accuracy on all your plays.
- Combo & Misses: These two are closely related. A single miss can drastically reduce your PP by breaking your combo and incurring a direct penalty. Minimizing misses and maximizing combo are essential for high PP scores.
- Mods:
- Difficulty Increasing Mods (HD, HR, DT, FL): These mods increase the map's difficulty and apply a multiplier to the potential PP. For instance, Double Time (DT) speeds up the map, making it harder but also much more rewarding. Hidden (HD) and Hard Rock (HR) also offer substantial PP gains. Flashlight (FL) is a niche but highly rewarding mod.
- Difficulty Decreasing Mods (EZ, HT): Easy (EZ) and Half Time (HT) make maps easier but significantly reduce the PP gain. They are often used for practice or to pass maps that are otherwise too difficult.
Using the Calculator
Simply input the Star Rating of the map, your expected Accuracy, the Max Combo you anticipate achieving, the Total Objects in the map, and the Number of Misses. Select any mods you plan to use. The calculator will then provide an estimated PP value. Experiment with different values to see how each factor impacts your score!
Limitations
Please remember that this calculator uses a simplified formula. The actual osu! PP algorithm is much more intricate, considering specific aspects of aim, speed, and map design that are not captured here. Therefore, the results should be used as an estimation and a guide, not an exact prediction of your in-game PP.