diff --git a/frogpilot/controls/lib/frogpilot_acceleration.py b/frogpilot/controls/lib/frogpilot_acceleration.py
index 0e2168183..28ba6a7f5 100644
--- a/frogpilot/controls/lib/frogpilot_acceleration.py
+++ b/frogpilot/controls/lib/frogpilot_acceleration.py
@@ -8,36 +8,36 @@ def cubic_interp(x, xp, fp):
          return fp[0]
      elif x >= xp[-1]:
          return fp[-1]
- 
+
      # Find interval
      i = np.searchsorted(xp, x) - 1
      i = max(0, min(i, len(xp)-2))  # clamp the index
- 
+
      # Normalized position
      t = (x - xp[i]) / float(xp[i+1] - xp[i])
- 
+
      # Hermite cubic formula
      return fp[i]*(1 - 3*t**2 + 2*t**3) + fp[i+1]*(3*t**2 - 2*t**3)
- 
+
 def akima_interp(x, xp, fp):
      """Akima-inspired interpolation with reduced overshoot characteristics."""
      if x <= xp[0]:
          return fp[0]
      elif x >= xp[-1]:
          return fp[-1]
- 
+
      i = np.searchsorted(xp, x) - 1
      i = max(0, min(i, len(xp)-2))  # clamp the index
- 
+
      t = (x - xp[i]) / float(xp[i+1] - xp[i])
- 
+
      # Quintic polynomial to reduce overshoot
      t2 = t*t
      t4 = t2*t2
      t3 = t2*t
      return (fp[i]*(1 - 10*t3 + 15*t4 - 6*t3*t2)
              + fp[i+1]*(10*t3 - 15*t4 + 6*t3*t2))
- 
+
 from openpilot.selfdrive.controls.lib.longitudinal_planner import A_CRUISE_MIN, get_max_accel
 
 from openpilot.frogpilot.common.frogpilot_variables import CITY_SPEED_LIMIT
@@ -49,7 +49,6 @@ A_CRUISE_MIN_SPORT = A_CRUISE_MIN * 2
 A_CRUISE_MAX_BP_CUSTOM =       [0.0,  5., 10., 15., 20., 25., 40.]
 A_CRUISE_MAX_VALS_ECO =        [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
 A_CRUISE_MAX_VALS_SPORT =      [1.5, 1.5, 1.25, 1.5, 1.5, 1.5, 2.0]
-A_CRUISE_MAX_VALS_SPORT_PLUS = [2.5, 2.5, 3.0, 2.5, 2.5, 2.5, 2.5]
 
 def get_max_accel_eco(v_ego):
   return float(akima_interp(v_ego, A_CRUISE_MAX_BP_CUSTOM, A_CRUISE_MAX_VALS_ECO))
@@ -57,9 +56,6 @@ def get_max_accel_eco(v_ego):
 def get_max_accel_sport(v_ego):
   return float(akima_interp(v_ego, A_CRUISE_MAX_BP_CUSTOM, A_CRUISE_MAX_VALS_SPORT))
 
-def get_max_accel_sport_plus(v_ego):
-  return float(akima_interp(v_ego, A_CRUISE_MAX_BP_CUSTOM, A_CRUISE_MAX_VALS_SPORT_PLUS))
-
 def get_max_accel_low_speeds(max_accel, v_cruise):
   return float(akima_interp(v_cruise, [0., CITY_SPEED_LIMIT / 2, CITY_SPEED_LIMIT], [max_accel / 4, max_accel / 2, max_accel]))
 
@@ -86,19 +82,17 @@ class FrogPilotAcceleration:
       if eco_gear:
         self.max_accel = get_max_accel_eco(v_ego)
       else:
-        if frogpilot_toggles.sport_plus:
-          self.max_accel = get_max_accel_sport_plus(v_ego)
-        else:
+        if frogpilot_toggles.acceleration_profile == 2:
           self.max_accel = get_max_accel_sport(v_ego)
+        else:
+          self.max_accel = get_max_allowed_accel(v_ego)
     else:
       if frogpilot_toggles.acceleration_profile == 1:
         self.max_accel = get_max_accel_eco(v_ego)
       elif frogpilot_toggles.acceleration_profile == 2:
         self.max_accel = get_max_accel_sport(v_ego)
-      elif frogpilot_toggles.sport_plus:
-        self.max_accel = get_max_accel_sport_plus(v_ego)
-      else:
-        self.max_accel = get_max_accel(v_ego)
+      elif frogpilot_toggles.acceleration_profile == 3:
+        self.max_accel = get_max_allowed_accel(v_ego)
 
     if frogpilot_toggles.human_acceleration:
       self.max_accel = min(get_max_accel_low_speeds(self.max_accel, self.frogpilot_planner.v_cruise), self.max_accel)