diff --git a/graphs/data/fitEwarStats/getter.py b/graphs/data/fitEwarStats/getter.py
index 96f930e55..66bdd4a1a 100644
--- a/graphs/data/fitEwarStats/getter.py
+++ b/graphs/data/fitEwarStats/getter.py
@@ -407,79 +407,3 @@ class Distance2JamChanceGetter(SmoothPointGetter):
         for jamStrength in jamStrengths:
             retainLockChance *= 1 - min(1, jamStrength / sensorStrength)
         return (1 - retainLockChance) * 100
-
-
-class SensorStrength2JamChanceGetter(SmoothPointGetter):
-
-    _baseResolution = 50
-    _extraDepth = 2
-
-    ECM_ATTRS_GENERAL = ('scanGravimetricStrengthBonus', 'scanLadarStrengthBonus', 'scanMagnetometricStrengthBonus', 'scanRadarStrengthBonus')
-    ECM_ATTRS_FIGHTERS = ('fighterAbilityECMStrengthGravimetric', 'fighterAbilityECMStrengthLadar', 'fighterAbilityECMStrengthMagnetometric', 'fighterAbilityECMStrengthRadar')
-    SCAN_TYPES = ('Gravimetric', 'Ladar', 'Magnetometric', 'Radar')
-
-    def _getCommonData(self, miscParams, src, tgt):
-        distance = miscParams.get('distance')
-        distance = None if distance is None else distance * 1000
-        ecms = []
-        for mod in src.item.activeModulesIter():
-            for effectName in ('remoteECMFalloff', 'structureModuleEffectECM'):
-                if effectName in mod.item.effects:
-                    ecms.append((
-                        tuple(mod.getModifiedItemAttr(a) or 0 for a in self.ECM_ATTRS_GENERAL),
-                        mod.maxRange or 0, mod.falloff or 0))
-            if 'doomsdayAOEECM' in mod.item.effects:
-                ecms.append((
-                    tuple(mod.getModifiedItemAttr(a) or 0 for a in self.ECM_ATTRS_GENERAL),
-                    max(0, (mod.maxRange or 0) + mod.getModifiedItemAttr('doomsdayAOERange')),
-                    mod.falloff or 0))
-        for drone in src.item.activeDronesIter():
-            if 'entityECMFalloff' in drone.item.effects:
-                ecms.extend(drone.amountActive * ((
-                    tuple(drone.getModifiedItemAttr(a) or 0 for a in self.ECM_ATTRS_GENERAL),
-                    math.inf, 0),))
-        for fighter, ability in src.item.activeFighterAbilityIter():
-            if ability.effect.name == 'fighterAbilityECM':
-                ecms.append((
-                    tuple(fighter.getModifiedItemAttr(a) or 0 for a in self.ECM_ATTRS_FIGHTERS),
-                    math.inf, 0))
-        # Determine target's sensor type if target is available
-        targetScanTypeIndex = None
-        if tgt is not None:
-            maxStr = -1
-            for i, scanType in enumerate(self.SCAN_TYPES):
-                currStr = tgt.item.ship.getModifiedItemAttr('scan%sStrength' % scanType) or 0
-                if currStr > maxStr:
-                    maxStr = currStr
-                    targetScanTypeIndex = i
-        return {'ecms': ecms, 'targetScanTypeIndex': targetScanTypeIndex, 'distance': distance}
-
-    def _calculatePoint(self, x, miscParams, src, tgt, commonData):
-        sensorStrength = x  # This is the variable X-axis value
-        jamStrengths = []
-        targetScanTypeIndex = commonData['targetScanTypeIndex']
-        distance = commonData['distance']
-        inLockRange = checkLockRange(src=src, distance=distance) if distance is not None else True
-        inDroneRange = checkDroneControlRange(src=src, distance=distance) if distance is not None else True
-        for strengths, optimal, falloff in commonData['ecms']:
-            if not inLockRange or not inDroneRange:
-                continue
-            if distance is not None:
-                rangeFactor = calculateRangeFactor(srcOptimalRange=optimal, srcFalloffRange=falloff, distance=distance)
-            else:
-                rangeFactor = 1
-            # Use the strength matching the target's sensor type
-            if targetScanTypeIndex is not None and targetScanTypeIndex < len(strengths):
-                strength = strengths[targetScanTypeIndex]
-                effectiveStrength = strength * rangeFactor
-                if effectiveStrength > 0:
-                    jamStrengths.append(effectiveStrength)
-        if not jamStrengths:
-            return 0
-        if sensorStrength <= 0:
-            return 100  # If sensor strength is 0, 100% jam chance
-        # Calculate jam chance: 1 - (1 - (ecmStrength / sensorStrength)) ^ numJammers
-        retainLockChance = 1
-        for jamStrength in jamStrengths:
-            retainLockChance *= 1 - min(1, jamStrength / sensorStrength)
-        return (1 - retainLockChance) * 100
diff --git a/graphs/data/fitEwarStats/graph.py b/graphs/data/fitEwarStats/graph.py
index 786879a60..588ed8671 100644
--- a/graphs/data/fitEwarStats/graph.py
+++ b/graphs/data/fitEwarStats/graph.py
@@ -22,7 +22,7 @@ import wx
 
 from graphs.data.base import FitGraph, Input, XDef, YDef
 from .getter import (Distance2DampStrLockRangeGetter, Distance2EcmStrMaxGetter, Distance2GdStrRangeGetter, Distance2JamChanceGetter, Distance2NeutingStrGetter,
-                     SensorStrength2JamChanceGetter, Distance2TdStrOptimalGetter, Distance2TpStrGetter, Distance2WebbingStrGetter)
+                     Distance2TdStrOptimalGetter, Distance2TpStrGetter, Distance2WebbingStrGetter)
 
 _t = wx.GetTranslation
 
@@ -32,9 +32,7 @@ class FitEwarStatsGraph(FitGraph):
     internalName = 'ewarStatsGraph'
     name = _t('Electronic Warfare Stats')
     hasTargets = True
-    xDefs = [
-        XDef(handle='distance', unit='km', label=_t('Distance'), mainInput=('distance', 'km')),
-        XDef(handle='sensorStrength', unit=None, label=_t('Target sensor strength'), mainInput=('sensorStrength', None))]
+    xDefs = [XDef(handle='distance', unit='km', label=_t('Distance'), mainInput=('distance', 'km'))]
     yDefs = [
         YDef(handle='neutStr', unit=None, label=_t('Cap neutralized per second'), selectorLabel=_t('Neuts: cap per second')),
         YDef(handle='webStr', unit='%', label=_t('Speed reduction'), selectorLabel=_t('Webs: speed reduction')),
@@ -45,22 +43,19 @@ class FitEwarStatsGraph(FitGraph):
         YDef(handle='gdStrRange', unit='%', label=_t('Missile flight range reduction'), selectorLabel=_t('GDs: missile flight range reduction')),
         YDef(handle='tpStr', unit='%', label=_t('Signature radius increase'), selectorLabel=_t('TPs: signature radius increase'))]
     inputs = [
-        Input(handle='distance', unit='km', label=_t('Distance'), iconID=1391, defaultValue=None, defaultRange=(0, 100), conditions=[
-            (('distance', 'km'), None)]),
-        Input(handle='sensorStrength', unit=None, label=_t('Target sensor strength'), iconID=1394, defaultValue=None, defaultRange=(0, 100), conditions=[
-            (('sensorStrength', None), None)])]
+        Input(handle='distance', unit='km', label=_t('Distance'), iconID=1391, defaultValue=None, defaultRange=(0, 100)),
+        Input(handle='resist', unit='%', label=_t('Target resistance'), iconID=1393, defaultValue=0, defaultRange=(0, 100))]
 
     # Calculation stuff
     _normalizers = {
-        ('distance', 'km'): lambda v, src, tgt: None if v is None else v * 1000}
-    _limiters = {
-        'sensorStrength': lambda src, tgt: (1, 200)}
+        ('distance', 'km'): lambda v, src, tgt: None if v is None else v * 1000,
+        ('resist', '%'): lambda v, src, tgt: None if v is None else v / 100}
+    _limiters = {'resist': lambda src, tgt: (0, 1)}
     _getters = {
         ('distance', 'neutStr'): Distance2NeutingStrGetter,
         ('distance', 'webStr'): Distance2WebbingStrGetter,
         ('distance', 'ecmStrMax'): Distance2EcmStrMaxGetter,
         ('distance', 'jamChance'): Distance2JamChanceGetter,
-        ('sensorStrength', 'jamChance'): SensorStrength2JamChanceGetter,
         ('distance', 'dampStrLockRange'): Distance2DampStrLockRangeGetter,
         ('distance', 'tdStrOptimal'): Distance2TdStrOptimalGetter,
         ('distance', 'gdStrRange'): Distance2GdStrRangeGetter,