diff --git a/osu.Game.Rulesets.Osu/Difficulty/OsuPerformanceCalculator.cs b/osu.Game.Rulesets.Osu/Difficulty/OsuPerformanceCalculator.cs index bbd1016f08..e2c9ea77e3 100644 --- a/osu.Game.Rulesets.Osu/Difficulty/OsuPerformanceCalculator.cs +++ b/osu.Game.Rulesets.Osu/Difficulty/OsuPerformanceCalculator.cs @@ -59,6 +59,8 @@ namespace osu.Game.Rulesets.Osu.Difficulty countSliderEndsDropped = osuAttributes.SliderCount - score.Statistics.GetValueOrDefault(HitResult.SliderTailHit); countSliderTickMiss = score.Statistics.GetValueOrDefault(HitResult.LargeTickMiss); + accuracy = calculateAccuracy(countGreat, countOk, countMeh, countMiss, totalHits); + if (osuAttributes.SliderCount > 0) { if (usingClassicSliderAccuracy) @@ -227,7 +229,8 @@ namespace osu.Game.Rulesets.Osu.Difficulty double relevantCountGreat = Math.Max(0, countGreat - relevantTotalDiff); double relevantCountOk = Math.Max(0, countOk - Math.Max(0, relevantTotalDiff - countGreat)); double relevantCountMeh = Math.Max(0, countMeh - Math.Max(0, relevantTotalDiff - countGreat - countOk)); - double relevantAccuracy = attributes.SpeedNoteCount == 0 ? 0 : (relevantCountGreat * 6.0 + relevantCountOk * 2.0 + relevantCountMeh) / (attributes.SpeedNoteCount * 6.0); + double relevantCountMiss = Math.Max(0, countMiss - Math.Max(0, relevantTotalDiff - countGreat - countOk - countMeh)); + double relevantAccuracy = attributes.SpeedNoteCount == 0 ? 0 : calculateAccuracy(relevantCountGreat, relevantCountOk, relevantCountMeh, relevantCountMiss, attributes.SpeedNoteCount); // Scale the speed value with accuracy and OD. speedValue *= (0.95 + Math.Pow(attributes.OverallDifficulty, 2) / 750) * Math.Pow((accuracy + relevantAccuracy) / 2.0, (14.5 - attributes.OverallDifficulty) / 2); @@ -250,17 +253,17 @@ namespace osu.Game.Rulesets.Osu.Difficulty amountHitObjectsWithAccuracy += attributes.SliderCount; if (amountHitObjectsWithAccuracy > 0) - betterAccuracyPercentage = ((countGreat - (totalHits - amountHitObjectsWithAccuracy)) * 6 + countOk * 2 + countMeh) / (double)(amountHitObjectsWithAccuracy * 6); + betterAccuracyPercentage = calculateAccuracy(countGreat - (totalHits - amountHitObjectsWithAccuracy), countOk, countMeh, countMiss, amountHitObjectsWithAccuracy); else betterAccuracyPercentage = 0; // It is possible to reach a negative accuracy with this formula. Cap it at zero - zero points. - if (accuracy < 0) - accuracy = 0; + if (betterAccuracyPercentage < 0) + betterAccuracyPercentage = 0; // Lots of arbitrary values from testing. // Considering to use derivation from perfect accuracy in a probabilistic manner - assume normal distribution. - double accuracyValue = Math.Pow(1.52163, attributes.OverallDifficulty) * Math.Pow(accuracy, 24) * 2.83; + double accuracyValue = Math.Pow(1.52163, attributes.OverallDifficulty) * Math.Pow(betterAccuracyPercentage, 24) * 2.83; // Bonus for many hitcircles - it's harder to keep good accuracy up for longer. accuracyValue *= Math.Min(1.15, Math.Pow(amountHitObjectsWithAccuracy / 1000.0, 0.3)); @@ -306,6 +309,12 @@ namespace osu.Game.Rulesets.Osu.Difficulty // so we use the amount of relatively difficult sections to adjust miss penalty // to make it more punishing on maps with lower amount of hard sections. private double calculateMissPenalty(double missCount, double difficultStrainCount) => 0.96 / ((missCount / (4 * Math.Pow(Math.Log(difficultStrainCount), 0.94))) + 1); + + private double calculateAccuracy(double countGreat, double countOk, double countMeh, double countMiss, double totalHits) + => usingClassicSliderAccuracy + ? (countGreat * 6 + countOk * 2 + countMeh + countMiss * 2) / (totalHits * 6) + : (countGreat * 6 + countOk * 2 + countMeh) / ((totalHits - countMiss) * 6); + private double getComboScalingFactor(OsuDifficultyAttributes attributes) => attributes.MaxCombo <= 0 ? 1.0 : Math.Min(Math.Pow(scoreMaxCombo, 0.8) / Math.Pow(attributes.MaxCombo, 0.8), 1.0); private int totalHits => countGreat + countOk + countMeh + countMiss; private int totalImperfectHits => countOk + countMeh + countMiss;