diff --git a/nise-backend/src/main/kotlin/com/nisemoe/nise/Models.kt b/nise-backend/src/main/kotlin/com/nisemoe/nise/Models.kt
index 45eace8..0380aa0 100644
--- a/nise-backend/src/main/kotlin/com/nisemoe/nise/Models.kt
+++ b/nise-backend/src/main/kotlin/com/nisemoe/nise/Models.kt
@@ -71,7 +71,7 @@ data class ReplayPair(
 
 data class ReplayDataChart(
     val title: String,
-    val data: List<Pair<Int, Double>>
+    val data: List<Double>
 )
 
 data class ReplayData(
diff --git a/nise-backend/src/main/kotlin/com/nisemoe/nise/database/ScoreService.kt b/nise-backend/src/main/kotlin/com/nisemoe/nise/database/ScoreService.kt
index 15cb171..05b184c 100644
--- a/nise-backend/src/main/kotlin/com/nisemoe/nise/database/ScoreService.kt
+++ b/nise-backend/src/main/kotlin/com/nisemoe/nise/database/ScoreService.kt
@@ -34,16 +34,8 @@ class ScoreService(
     fun getCharts(db: Record): List<ReplayDataChart> {
         if (!authService.isAdmin()) return emptyList()
 
-        return listOf(SCORES.SLIDEREND_RELEASE_TIMES to "slider end release times", SCORES.KEYPRESSES_TIMES to "keypress release times")
-            .mapNotNull { (scoreType, title) -> db.get(scoreType)?.let { createChart(it.filterNotNull(), title) } }
-    }
-
-    private fun createChart(data: List<Double>, title: String): ReplayDataChart {
-        val frequencyData = data
-            .groupingBy { it }
-            .eachCount()
-            .map { (value, count) -> Pair(value.roundToInt(), count.toDouble() / data.size * 100) }
-        return ReplayDataChart(title, frequencyData)
+        return listOf(SCORES.SLIDEREND_RELEASE_TIMES to "slider end release times", SCORES.KEYPRESSES_TIMES to "keypress times")
+            .mapNotNull { (scoreType, title) -> db.get(scoreType)?.let { ReplayDataChart(title, it.filterNotNull()) } }
     }
 
     fun getReplayData(replayId: Long): ReplayData? {
diff --git a/nise-frontend/src/app/replays.ts b/nise-frontend/src/app/replays.ts
index 3ffa449..07c31c8 100644
--- a/nise-frontend/src/app/replays.ts
+++ b/nise-frontend/src/app/replays.ts
@@ -1,6 +1,6 @@
 export interface ReplayDataChart {
   title: string;
-  data: Array<{ first: number, second: number }>;
+  data: number[];
 }
 
 export interface ReplayData {
diff --git a/nise-frontend/src/app/view-score/view-score.component.css b/nise-frontend/src/app/view-score/view-score.component.css
index 62bfe51..1905efc 100644
--- a/nise-frontend/src/app/view-score/view-score.component.css
+++ b/nise-frontend/src/app/view-score/view-score.component.css
@@ -19,16 +19,3 @@
     max-width: 20%;
   }
 }
-
-.chart-statistics {
-  display: flex;
-  justify-content: space-around;
-  list-style-type: none;
-  flex-wrap: wrap;
-}
-
-.chart-statistics li {
-  display: flex;
-  margin-right: 65px;
-  margin-bottom: 10px;
-}
diff --git a/nise-frontend/src/app/view-score/view-score.component.html b/nise-frontend/src/app/view-score/view-score.component.html
index 22dafa1..d5f9671 100644
--- a/nise-frontend/src/app/view-score/view-score.component.html
+++ b/nise-frontend/src/app/view-score/view-score.component.html
@@ -150,24 +150,9 @@
     </table>
   </div>
 
-  <div class="main term mb-2" *ngFor="let chart of this.replayData.charts">
-    <h1>
-      # {{ chart.title }}
-    </h1>
-    <ul class="chart-statistics">
-      <li *ngFor="let stat of this.calculateStatistics(chart.data)">
-        {{ stat.name }}: {{ stat.value | number: '1.2-2' }}
-      </li>
-    </ul>
-    <canvas baseChart
-            [data]="this.buildChartData(chart)"
-            [options]="barChartOptions"
-            [plugins]="barChartPlugins"
-            [legend]="false"
-            [type]="'bar'"
-            class="chart">
-    </canvas>
-  </div>
+  <ng-container *ngFor="let chart of this.replayData.charts">
+    <app-chart [title]="chart.title" [data]="chart.data"></app-chart>
+  </ng-container>
 
   <div class="main term" *ngIf="this.replayData.error_distribution && Object.keys(this.replayData.error_distribution).length > 0">
     <h1># hit distribution</h1>
diff --git a/nise-frontend/src/app/view-score/view-score.component.ts b/nise-frontend/src/app/view-score/view-score.component.ts
index 7ad12c7..769aafb 100644
--- a/nise-frontend/src/app/view-score/view-score.component.ts
+++ b/nise-frontend/src/app/view-score/view-score.component.ts
@@ -1,15 +1,16 @@
 import {Component, OnInit, ViewChild} from '@angular/core';
-import {ChartConfiguration, ChartData, DefaultDataPoint} from 'chart.js';
+import {ChartConfiguration} from 'chart.js';
 import {BaseChartDirective, NgChartsModule} from 'ng2-charts';
 import {HttpClient} from "@angular/common/http";
 import {environment} from "../../environments/environment";
 import {DecimalPipe, JsonPipe, NgForOf, NgIf, NgOptimizedImage} from "@angular/common";
 import {ActivatedRoute, RouterLink} from "@angular/router";
 import {catchError, throwError} from "rxjs";
-import {DistributionEntry, ReplayData, ReplayDataChart} from "../replays";
+import {DistributionEntry, ReplayData} from "../replays";
 import {calculateAccuracy} from "../format";
 import {Title} from "@angular/platform-browser";
 import {OsuGradeComponent} from "../../corelib/components/osu-grade/osu-grade.component";
+import {ChartComponent} from "../../corelib/components/chart/chart.component";
 
 @Component({
   selector: 'app-view-score',
@@ -22,7 +23,8 @@ import {OsuGradeComponent} from "../../corelib/components/osu-grade/osu-grade.co
     NgForOf,
     NgOptimizedImage,
     RouterLink,
-    OsuGradeComponent
+    OsuGradeComponent,
+    ChartComponent
   ],
   templateUrl: './view-score.component.html',
   styleUrl: './view-score.component.css'
@@ -90,76 +92,6 @@ export class ViewScoreComponent implements OnInit {
     return url;
   }
 
-  calculateStatistics(data: Array<{ first: number, second: number }>): Array<{ name: string, value: number }> {
-    if (data.length === 0) return [];
-
-    const sortedData = data.sort((a, b) => a.first - b.first);
-
-    let mean = data.reduce((acc, curr) => acc + curr.first, 0) / data.length;
-
-    let median = data.length % 2 === 0 ? (sortedData[data.length / 2 - 1].first + sortedData[data.length / 2].first) / 2 : sortedData[Math.floor(data.length / 2)].first;
-
-    let variance = data.reduce((acc, curr) => acc + Math.pow(curr.first - mean, 2), 0) / (data.length - 1);
-
-    let stdDev = Math.sqrt(variance);
-
-    let min = sortedData[0].first;
-    let max = sortedData[sortedData.length - 1].first;
-
-    const statistics = {
-      'mean': mean,
-      'median': median,
-      'variance': variance,
-      'std. dev': stdDev,
-      'min': min,
-      'max': max
-    };
-
-    return Object.entries(statistics).map(([name, value]) => ({ name, value }));
-  }
-
-  buildChartData(chart: ReplayDataChart): ChartData<"bar", DefaultDataPoint<"bar">, any> {
-    let sortedData = chart.data.sort((a, b) => a.first - b.first);
-
-    const mean = sortedData.reduce((acc, curr) => acc + curr.first, 0) / sortedData.length;
-    const stdDev = Math.sqrt(sortedData.reduce((acc, curr) => acc + Math.pow(curr.first - mean, 2), 0) / sortedData.length);
-
-    sortedData = sortedData.filter(item => {
-      const zScore = (item.first - mean) / stdDev;
-      return Math.abs(zScore) <= 4;
-    });
-
-    const minFirst = Math.floor(sortedData[0].first / 2) * 2;
-    const maxFirst = Math.ceil(sortedData[sortedData.length - 1].first / 2) * 2;
-    const groupRanges = Array.from({length: (maxFirst - minFirst) / 2 + 1}, (_, i) => minFirst + i * 2);
-
-    let groupedData = groupRanges.map(rangeStart => {
-      const rangeEnd = rangeStart + 2;
-      const entriesInGroup = sortedData.filter(e => e.first >= rangeStart && e.first < rangeEnd);
-      const sumSecond = entriesInGroup.reduce((acc, curr) => acc + curr.second, 0);
-      return { first: rangeStart, second: sumSecond };
-    });
-
-    for (let i = groupedData.length - 1; i >= 0; i--) {
-      if (groupedData[i].second === 0 && (i === groupedData.length - 1 || groupedData[i + 1].second === 0)) {
-        groupedData.pop();
-      } else {
-        break;
-      }
-    }
-
-    const labels = groupedData.map(({ first }) => `${first}ms to ${first + 2}ms`);
-
-    const datasets = [{
-      data: groupedData.map(({ second }) => second),
-      label: chart.title + " (%)",
-      backgroundColor: 'rgba(0,255,41,0.66)',
-      borderRadius: 5
-    }];
-
-    return { labels, datasets };
-  }
-
   private loadScoreData(): void {
     this.isLoading = true;
     this.http.get<ReplayData>(`${environment.apiUrl}/score/${this.replayId}`).pipe(
diff --git a/nise-frontend/src/corelib/components/chart/chart.component.css b/nise-frontend/src/corelib/components/chart/chart.component.css
new file mode 100644
index 0000000..d193001
--- /dev/null
+++ b/nise-frontend/src/corelib/components/chart/chart.component.css
@@ -0,0 +1,13 @@
+.chart-statistics {
+  text-align: center;
+  display: flex;
+  justify-content: space-around;
+  list-style-type: none;
+  flex-wrap: wrap;
+}
+
+.chart-statistics li {
+  display: flex;
+  margin-right: 100px;
+  margin-bottom: 10px;
+}
diff --git a/nise-frontend/src/corelib/components/chart/chart.component.html b/nise-frontend/src/corelib/components/chart/chart.component.html
new file mode 100644
index 0000000..4f997a9
--- /dev/null
+++ b/nise-frontend/src/corelib/components/chart/chart.component.html
@@ -0,0 +1,23 @@
+<div class="main term mb-2">
+  <h1>
+    # {{ title }}
+  </h1>
+  <fieldset class="text-center">
+    <input type="checkbox" checked="checked" [(ngModel)]="this.removeOutliers"> remove outliers
+    <input type="checkbox" checked="checked" [(ngModel)]="this.groupData"> group data
+    <input type="checkbox" checked="checked" [(ngModel)]="this.showPercentages"> show percentages
+  </fieldset>
+  <ul class="chart-statistics">
+    <li *ngFor="let stat of this.calculateStatistics()">
+      {{ stat.name }}: <strong style="margin-left: 4px">{{ stat.value | number: '1.2-2' }}</strong>
+    </li>
+  </ul>
+  <canvas baseChart
+          [data]="this.buildChartData()"
+          [options]="barChartOptions"
+          [plugins]="[]"
+          [legend]="false"
+          [type]="'bar'"
+          class="chart">
+  </canvas>
+</div>
diff --git a/nise-frontend/src/corelib/components/chart/chart.component.ts b/nise-frontend/src/corelib/components/chart/chart.component.ts
new file mode 100644
index 0000000..28b1d1a
--- /dev/null
+++ b/nise-frontend/src/corelib/components/chart/chart.component.ts
@@ -0,0 +1,128 @@
+import {ChangeDetectionStrategy, Component, Input, OnChanges, SimpleChanges} from '@angular/core';
+import {DecimalPipe, NgForOf} from "@angular/common";
+import {ChartConfiguration, ChartData, DefaultDataPoint} from "chart.js";
+import {NgChartsModule} from "ng2-charts";
+import {FormsModule} from "@angular/forms";
+
+@Component({
+  selector: 'app-chart',
+  standalone: true,
+  imports: [
+    DecimalPipe,
+    NgChartsModule,
+    NgForOf,
+    FormsModule
+  ],
+  templateUrl: './chart.component.html',
+  styleUrl: './chart.component.css',
+  changeDetection: ChangeDetectionStrategy.OnPush
+})
+export class ChartComponent {
+
+  public barChartOptions: ChartConfiguration<'bar'>['options'] = {
+    responsive: true,
+    //@ts-ignore
+    animations: false,
+    scales: {
+      x: {
+        stacked: true,
+      },
+      y: {
+        stacked: true
+      }
+    }
+  };
+
+  @Input() title!: string;
+  @Input() data!: number[];
+
+  removeOutliers = true;
+  groupData = true;
+  showPercentages = true;
+
+  calculateStatistics(): Array<{ name: string, value: number }> {
+    if (this.data.length === 0) {
+      return [];
+    }
+
+    let chartData = this.data;
+
+    if(this.removeOutliers) {
+      chartData = this.removeOutliersZScore(this.data);
+    }
+
+    // Assuming data is already without outliers and sorted if necessary
+    let sortedData = chartData.slice().sort((a, b) => a - b);
+
+    let mean = sortedData.reduce((acc, curr) => acc + curr, 0) / sortedData.length;
+    let median = sortedData.length % 2 === 0 ? (sortedData[sortedData.length / 2 - 1] + sortedData[sortedData.length / 2]) / 2 : sortedData[Math.floor(sortedData.length / 2)];
+    let variance = sortedData.reduce((acc, curr) => acc + Math.pow(curr - mean, 2), 0) / (sortedData.length - 1);
+    let stdDev = Math.sqrt(variance);
+    let min = sortedData[0];
+    let max = sortedData[sortedData.length - 1];
+
+    const statistics = {
+      'mean': mean,
+      'median': median,
+      'std. dev': stdDev,
+      'min': min,
+      'max': max
+    };
+
+    return Object.entries(statistics).map(([name, value]) => ({ name, value }));
+  }
+
+  buildChartData(): ChartData<"bar", DefaultDataPoint<"bar">, any> {
+    let chartData = this.data;
+
+    if(this.removeOutliers) {
+      chartData = this.removeOutliersZScore(this.data);
+    }
+
+    let sortedData = chartData.slice().sort((a, b) => a - b);
+    const minData = Math.floor(sortedData[0]);
+    const maxData = Math.ceil(sortedData[sortedData.length - 1]);
+    let dataPoints: { value: number; count: number }[] = [];
+
+    if (this.groupData) {
+      const rangeSize = 2;
+      const groupRanges = Array.from({ length: (maxData - minData) / rangeSize + 1 }, (_, i) => minData + i * rangeSize);
+
+      dataPoints = groupRanges.map(rangeStart => {
+        const rangeEnd = rangeStart + rangeSize;
+        const countInGroup = sortedData.filter(value => value >= rangeStart && value < rangeEnd).length;
+        return { value: rangeStart, count: countInGroup };
+      });
+    } else {
+      // Not grouping data, fill with zeros where needed
+      for (let i = minData; i <= maxData; i++) {
+        const countInGroup = sortedData.filter(value => Math.round(value) === i).length;
+        dataPoints.push({ value: i, count: countInGroup });
+      }
+    }
+
+    const total = dataPoints.reduce((acc, curr) => acc + curr.count, 0);
+
+    const labels = this.groupData ? dataPoints.map(({ value }) => `${value}ms to ${value + 2}ms`) : dataPoints.map(({ value }) => `${value}ms`);
+    const datasets = [{
+      data: dataPoints.map(({ count }) => this.showPercentages ? (count / total * 100) : count),
+      label: this.showPercentages ? this.title + " (%)": this.title,
+      backgroundColor: 'rgba(0,255,41,0.66)',
+      borderRadius: 5
+    }];
+
+    return { labels, datasets };
+  }
+
+
+  private removeOutliersZScore(data: number[]): number[] {
+    const mean = data.reduce((acc, curr) => acc + curr, 0) / data.length;
+    const stdDev = Math.sqrt(data.reduce((acc, curr) => acc + Math.pow(curr - mean, 2), 0) / data.length);
+
+    return data.filter(value => {
+      const zScore = (value - mean) / stdDev;
+      return Math.abs(zScore) <= 4;
+    });
+  }
+
+}