diff --git a/apps/api/src/scripts/analyze.ts b/apps/api/src/scripts/analyze.ts
deleted file mode 100644
index cc997a4..0000000
--- a/apps/api/src/scripts/analyze.ts
+++ /dev/null
@@ -1,90 +0,0 @@
-import {
-    type Levels,
-} from "@blade-and-brawn/calculator";
-import { Activity, clamp, Gender, range } from "@blade-and-brawn/domain";
-import { levenbergMarquardt as LM } from "ml-levenberg-marquardt";
-import { CalculatorService } from "../services/calculator";
-import { DEFAULT_NAME } from "../util";
-
-const calculator = new CalculatorService(DEFAULT_NAME);
-const standardsConfig = await calculator.Standards.Config.get();
-for (const activity of Object.values(Activity)) {
-    const DATASET_MAX_LEVEL = 5;
-    const NEW_LEVEL_COUNT = 2;
-    const RATIO_CLAMP = 1.4;
-
-    function expDecayModel([A, B, C]: number[]) {
-        return (i: number) => A! * Math.exp(-B! * i) + C!;
-    }
-
-    for (const gender of Object.values(Gender)) {
-        const standardsByGender = standardsConfig.data[
-            activity
-        ].standards.filter((s) => s["metrics"].gender === gender);
-        const ages = [...new Set(standardsByGender.map((s) => s.metrics.age))];
-        for (const age of ages) {
-            const standards = standardsByGender.filter(
-                (s) => s.metrics.age === age,
-            );
-
-            const data = {
-                x: [] as number[],
-                y: [] as number[],
-            };
-
-            const isIncreasing =
-                standards[0]!.levels["2"]! > standards[0]!.levels["1"]!;
-
-            for (const i of range(DATASET_MAX_LEVEL).slice(0, -1)) {
-                const level = i + 1;
-                const progressionRatios: number[] = [];
-                for (const standard of standards) {
-                    const curr = standard.levels[level]!;
-                    const next = standard.levels[level]!;
-                    progressionRatios.push(
-                        isIncreasing ? next / curr : curr / next,
-                    );
-                }
-
-                const sum = progressionRatios.reduce((p, c) => p + c, 0);
-                const progressionRatioAvg = sum / progressionRatios.length;
-
-                data.x.push(i);
-                data.y.push(progressionRatioAvg);
-            }
-
-            const fittedParams = LM(data, expDecayModel, {
-                initialValues: [0.4, 0.5, 1.1],
-                minValues: [0.0, 0.0, 1.02],
-                maxValues: [1.0, 2.0, 1.25],
-                maxIterations: 200,
-            });
-            const getDecayRatio = (i: number) =>
-                clamp(
-                    expDecayModel(fittedParams.parameterValues)(i),
-                    1,
-                    RATIO_CLAMP,
-                );
-
-            // UPDATE THE DATA
-            for (const standard of standards) {
-                const newLevels: Levels = {};
-
-                let prev = standard.levels["1"]!;
-                for (const i of range(NEW_LEVEL_COUNT)) {
-                    const level = i + 1;
-                    const ratio = getDecayRatio(level - NEW_LEVEL_COUNT);
-                    prev = isIncreasing ? prev / ratio : prev * ratio;
-                    newLevels[level] = Math.round(prev);
-                }
-
-                const oldLevels = standard.levels as Levels;
-                for (const i of range(DATASET_MAX_LEVEL)) {
-                    const level = i + 1;
-                    newLevels[level + NEW_LEVEL_COUNT] = oldLevels[level]!;
-                }
-                standard.levels = newLevels;
-            }
-        }
-    }
-}