diff --git a/src/main/java/ru/ulstu/score/ScoreMethod.java b/src/main/java/ru/ulstu/score/ScoreMethod.java
index 447d191..b85874f 100644
--- a/src/main/java/ru/ulstu/score/ScoreMethod.java
+++ b/src/main/java/ru/ulstu/score/ScoreMethod.java
@@ -11,6 +11,9 @@ import ru.ulstu.datamodel.exception.ModelingException;
 import ru.ulstu.datamodel.ts.TimeSeries;
 import ru.ulstu.datamodel.ts.TimeSeriesValue;
 
+import java.time.LocalDateTime;
+import java.util.Map;
+
 public abstract class ScoreMethod {
     private final String name;
 
@@ -18,11 +21,11 @@ public abstract class ScoreMethod {
         this.name = name;
     }
 
-    public Score getScore(TimeSeries original, TimeSeries model) throws ModelingException {
-        return new Score(this, evaluate(original, model));
+    public Score getScore(Map<LocalDateTime, Double> tsValues, TimeSeries model) throws ModelingException {
+        return new Score(this, evaluate(tsValues, model));
     }
 
-    public abstract Number evaluate(TimeSeries original, TimeSeries model) throws ModelingException;
+    public abstract Number evaluate(Map<LocalDateTime, Double> tsValues, TimeSeries model) throws ModelingException;
 
     public String getName() {
         return name;
diff --git a/src/main/java/ru/ulstu/score/Smape.java b/src/main/java/ru/ulstu/score/Smape.java
index 17a8b2c..1b1655d 100644
--- a/src/main/java/ru/ulstu/score/Smape.java
+++ b/src/main/java/ru/ulstu/score/Smape.java
@@ -10,6 +10,10 @@ import ru.ulstu.datamodel.exception.ModelingException;
 import ru.ulstu.datamodel.ts.TimeSeries;
 import ru.ulstu.datamodel.ts.TimeSeriesValue;
 
+import java.time.LocalDateTime;
+import java.util.Map;
+import java.util.Optional;
+
 import static java.lang.Math.abs;
 
 public class Smape extends ScoreMethod {
@@ -18,10 +22,13 @@ public class Smape extends ScoreMethod {
     }
 
     @Override
-    public Number evaluate(TimeSeries original, TimeSeries model) throws ModelingException {
+    public Number evaluate(Map<LocalDateTime, Double> tsValues, TimeSeries model) throws ModelingException {
         double sum = 0;
         for (TimeSeriesValue modelValue : model.getValues()) {
-            double actualValue = getValueOnSameDate(modelValue, original).getValue();
+            //double actualValue = getValueOnSameDate(modelValue, original).getValue();
+            double actualValue = Optional.ofNullable(tsValues.get(modelValue.getDate()))
+                    .orElseThrow(() -> new ModelingException("Значение модельного ряда не найдено в оригинальном ряде: "
+                            + modelValue.getDate()));
             sum += abs(modelValue.getValue() - actualValue)
                     / ((abs(actualValue) + abs(modelValue.getValue())) / 2);
         }
diff --git a/src/main/java/ru/ulstu/service/MethodParamBruteForce.java b/src/main/java/ru/ulstu/service/MethodParamBruteForce.java
index 1a4b8ec..dd7adff 100644
--- a/src/main/java/ru/ulstu/service/MethodParamBruteForce.java
+++ b/src/main/java/ru/ulstu/service/MethodParamBruteForce.java
@@ -11,6 +11,7 @@ import ru.ulstu.datamodel.Model;
 import ru.ulstu.datamodel.ModelingResult;
 import ru.ulstu.datamodel.exception.ModelingException;
 import ru.ulstu.datamodel.ts.TimeSeries;
+import ru.ulstu.datamodel.ts.TimeSeriesValue;
 import ru.ulstu.method.Method;
 import ru.ulstu.method.MethodParamValue;
 import ru.ulstu.method.MethodParameter;
@@ -18,6 +19,7 @@ import ru.ulstu.score.ScoreMethod;
 import ru.ulstu.score.Smape;
 
 import java.lang.reflect.InvocationTargetException;
+import java.time.LocalDateTime;
 import java.util.ArrayList;
 import java.util.Comparator;
 import java.util.List;
@@ -47,6 +49,10 @@ public class MethodParamBruteForce {
         final int countPoints = (countPointsForecast > timeSeries.getLength()) ? timeSeries.getLength() / 3 : countPointsForecast;
         TimeSeries reducedTimeSeries = new TimeSeries(timeSeries.getValues().stream().limit(timeSeries.getLength() - countPoints).collect(Collectors.toList()),
                 "test part of " + timeSeries.getName());
+
+        Map<LocalDateTime, Double> tsValues = timeSeries.getValues().stream()
+                .collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue));
+
         for (Method method : methods) {
             List<List<MethodParamValue>> availableParametersValues = getAvailableParametersValues(method.getAvailableParameters());
             for (List<MethodParamValue> parametersValues : availableParametersValues) {
@@ -56,7 +62,7 @@ public class MethodParamBruteForce {
                         TimeSeries forecast = methodInstance.getForecast(reducedTimeSeries, parametersValues, countPoints);
                         return new ModelingResult(forecast,
                                 parametersValues,
-                                scoreMethod.getScore(timeSeries, forecast),
+                                scoreMethod.getScore(tsValues, forecast),
                                 methodInstance);
                     }));
                 }
@@ -87,6 +93,10 @@ public class MethodParamBruteForce {
     public ModelingResult getSmoothedTimeSeries(TimeSeries timeSeries) throws ExecutionException, InterruptedException, NoSuchMethodException, InvocationTargetException, InstantiationException, IllegalAccessException {
         List<Future<ModelingResult>> results = new ArrayList<>();
         List<ModelingResult> results2 = new CopyOnWriteArrayList<>();
+
+        Map<LocalDateTime, Double> tsValues = timeSeries.getValues().stream()
+                .collect(Collectors.toMap(TimeSeriesValue::getDate, TimeSeriesValue::getValue));
+
         for (Method method : methods) {
             List<List<MethodParamValue>> availableParametersValues = getAvailableParametersValues(method.getAvailableParameters());
             for (List<MethodParamValue> parametersValues : availableParametersValues) {
@@ -96,7 +106,7 @@ public class MethodParamBruteForce {
                         Model model = methodInstance.getModel(timeSeries, parametersValues);
                         return new ModelingResult(model.getTimeSeriesModel(),
                                 parametersValues,
-                                scoreMethod.getScore(timeSeries, model.getTimeSeriesModel()),
+                                scoreMethod.getScore(tsValues, model.getTimeSeriesModel()),
                                 methodInstance);
                     }));
                 }