diff --git a/MMOItems-API/src/main/java/net/Indyuce/mmoitems/api/util/NumericStatFormula.java b/MMOItems-API/src/main/java/net/Indyuce/mmoitems/api/util/NumericStatFormula.java
index 39042014..41a01eb7 100644
--- a/MMOItems-API/src/main/java/net/Indyuce/mmoitems/api/util/NumericStatFormula.java
+++ b/MMOItems-API/src/main/java/net/Indyuce/mmoitems/api/util/NumericStatFormula.java
@@ -98,8 +98,8 @@ public class NumericStatFormula implements RandomStatData<DoubleData>, Updatable
             hasMin = config.contains("min");
             hasMax = config.contains("max");
             uniform = !config.contains("spread") && !config.contains("scale") && !config.contains("base") && hasMin && hasMax;
-            min = config.getDouble("min");
-            max = config.getDouble("max");
+            min = hasMin ? config.getDouble("min") : 0;
+            max = hasMax ? config.getDouble("max") : 0;
         }
 
         // Error
@@ -168,7 +168,7 @@ public class NumericStatFormula implements RandomStatData<DoubleData>, Updatable
 
     /**
      * @return When the item has a certain level or tier, this is how much each level shifts
-     * the peak, so that it is centered at {@code base + scale*level}
+     *         the peak, so that it is centered at {@code base + scale*level}
      * @see #getBase()
      */
     public double getScale() {
@@ -184,15 +184,15 @@ public class NumericStatFormula implements RandomStatData<DoubleData>, Updatable
 
     /**
      * @return For gaussian distributions, there always is that INSANELY SMALL
-     * chance of getting an INSANELY LARGE number.
-     * <p>
-     * For example: At base atk dmg 10, and standard deviation 1:
-     * <p>68% of rolls will fall between 9 and 11;
-     * </p>95% of rolls will fall between 8 and 12;
-     * <p>99.7% of rolls will fall between 7 and 13;
-     * </p>10E-42 of a roll that will give you an epic 300 dmg sword
-     * <p></p>
-     * Whatever, this constrains to a minimum and maximum of output.
+     *         chance of getting an INSANELY LARGE number.
+     *         <p>
+     *         For example: At base atk dmg 10, and standard deviation 1:
+     *         <p>68% of rolls will fall between 9 and 11;
+     *         </p>95% of rolls will fall between 8 and 12;
+     *         <p>99.7% of rolls will fall between 7 and 13;
+     *         </p>10E-42 of a roll that will give you an epic 300 dmg sword
+     *         <p></p>
+     *         Whatever, this constrains to a minimum and maximum of output.
      */
     public double getMaxSpread() {
         return maxSpread;
@@ -227,15 +227,15 @@ public class NumericStatFormula implements RandomStatData<DoubleData>, Updatable
      *                           the formula is <code>base + (scale*level)</code>.
      *                           This is the <code>level</code>
      * @return <b>Legacy formula: ???</b><br>
-     * Let A = {base} + {scale} * lvl, then the returned value is a
-     * random value taken in respect to a gaussian distribution
-     * centered on A, with average spread of {spread}%, and with a
-     * maximum offset of {maxSpread}% (relative to average value)
-     * <p></p>
-     * <b>Formula: Spread = Standard Deviation</b>
-     * The mean, the peak is located at <code>{base} + {scale}*lvl</code>. <br>
-     * The 'spread' is the standard deviation of the distribution. <br>
-     * 'Max Spread' constrains the result of this operation at <code>{mean}±{max spread}</code>
+     *         Let A = {base} + {scale} * lvl, then the returned value is a
+     *         random value taken in respect to a gaussian distribution
+     *         centered on A, with average spread of {spread}%, and with a
+     *         maximum offset of {maxSpread}% (relative to average value)
+     *         <p></p>
+     *         <b>Formula: Spread = Standard Deviation</b>
+     *         The mean, the peak is located at <code>{base} + {scale}*lvl</code>. <br>
+     *         The 'spread' is the standard deviation of the distribution. <br>
+     *         'Max Spread' constrains the result of this operation at <code>{mean}±{max spread}</code>
      */
     public double calculate(double levelScalingFactor) {
 
@@ -269,7 +269,7 @@ public class NumericStatFormula implements RandomStatData<DoubleData>, Updatable
 
             value = RELATIVE_SPREAD ? actualBase * (1 + spreadCoef) : actualBase + spreadCoef;
             if (hasMin) value = Math.max(min, value);
-            if (hasMax) value = Math.max(max, value);
+            if (hasMax) value = Math.min(max, value);
         }
 
         return value;