diff --git a/client/brewpi.ui b/client/brewpi.ui
index 734adad..994f935 100644
--- a/client/brewpi.ui
+++ b/client/brewpi.ui
@@ -705,6 +705,18 @@
      <attribute name="title">
       <string>Automatic</string>
      </attribute>
+     <layout class="QVBoxLayout" name="verticalLayout_forecast">
+      <item>
+       <widget class="QWidget" name="widget_plot_forecast" native="true">
+        <property name="minimumSize">
+         <size>
+          <width>0</width>
+          <height>400</height>
+         </size>
+        </property>
+       </widget>
+      </item>
+     </layout>
     </widget>
     <widget class="QWidget" name="tab_2">
      <attribute name="title">
diff --git a/client/brewpi_gui.py b/client/brewpi_gui.py
index 1eb9735..198938c 100755
--- a/client/brewpi_gui.py
+++ b/client/brewpi_gui.py
@@ -9,12 +9,25 @@ matplotlib.use("Qt5Agg")
 from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg
 from matplotlib.figure import Figure
 from matplotlib.ticker import AutoMinorLocator
+from components.sud import Sud
 from ws.client.ws_client import WsClient
 from ws.message import MessageDispatcherSync
 from queue import Queue
 import asyncio
 
 
+def _style_axis(ax):
+	ax.set_facecolor('white')
+	ax.spines['top'].set_visible(False)
+	ax.spines['right'].set_visible(False)
+	ax.xaxis.set_minor_locator(AutoMinorLocator())
+	ax.yaxis.set_minor_locator(AutoMinorLocator())
+	ax.tick_params(which='major', direction='out', labelsize='small')
+	ax.tick_params(which='minor', direction='out', length=2)
+	ax.grid(which='major', linestyle='-', linewidth=0.5, alpha=0.3)
+	ax.grid(which='minor', linestyle=':', linewidth=0.5, alpha=0.15)
+
+
 class RealtimePlot(FigureCanvasQTAgg):
 	"""Live theta/heatrate/heater-power strip charts, mirroring figure 1 of
 	scripts/demos/sud/demo_sud.py but fed from the websocket connection
@@ -43,15 +56,7 @@ class RealtimePlot(FigureCanvasQTAgg):
 		self.ax_power.legend(loc='upper left', fontsize='small')
 
 		for ax in (self.ax_temp, self.ax_rate, self.ax_power):
-			ax.set_facecolor('white')
-			ax.spines['top'].set_visible(False)
-			ax.spines['right'].set_visible(False)
-			ax.xaxis.set_minor_locator(AutoMinorLocator())
-			ax.yaxis.set_minor_locator(AutoMinorLocator())
-			ax.tick_params(which='major', direction='out', labelsize='small')
-			ax.tick_params(which='minor', direction='out', length=2)
-			ax.grid(which='major', linestyle='-', linewidth=0.5, alpha=0.3)
-			ax.grid(which='minor', linestyle=':', linewidth=0.5, alpha=0.15)
+			_style_axis(ax)
 
 		# Only the bottom subplot needs x tick labels - sharex keeps the
 		# others in sync without repeating them.
@@ -94,6 +99,59 @@ class RealtimePlot(FigureCanvasQTAgg):
 		self.draw_idle()
 
 
+class SudForecastPlot(FigureCanvasQTAgg):
+	"""A static preview of a Sud schedule's temperature course, computed
+	from its nominal ramp rates/hold durations alone (no plant/controller
+	model - just how long the declared schedule says each step should
+	take), so it can be shown as soon as a schedule is loaded/edited,
+	before a brew is actually started."""
+
+	def __init__(self):
+		figure = Figure(facecolor='white')
+		FigureCanvasQTAgg.__init__(self, figure)
+
+		self.ax = figure.subplots(1, 1)
+		self.line, = self.ax.plot([], [], '-b', linewidth=1.5)
+		self.ax.set_xlabel("t [min]")
+		self.ax.set_ylabel("Temp [°C]")
+		_style_axis(self.ax)
+
+		figure.tight_layout()
+
+	@staticmethod
+	def _estimate_course(schedule, start_theta):
+		"""Walks the schedule, accumulating (t, theta) waypoints: ramps take
+		abs(delta)/rate minutes at the declared rate, holds last for their
+		duration at the temperature the preceding ramp reached."""
+		t = [0.0]
+		theta = [start_theta]
+		for step in schedule:
+			ramp = step.get('ramp')
+			hold = step.get('hold')
+			if ramp is not None:
+				rate = ramp.get('rate', 0)
+				target = ramp['temp']
+				if rate > 0:
+					t.append(t[-1] + abs(target - theta[-1]) / rate * 60.0)
+					theta.append(target)
+			elif hold is not None:
+				t.append(t[-1] + hold.get('duration', 0))
+				theta.append(theta[-1])
+		return t, theta
+
+	def show_schedule(self, schedule, start_theta):
+		t, theta = self._estimate_course(schedule, start_theta)
+		t_min = [seconds / 60.0 for seconds in t]
+
+		self.line.set_data(t_min, theta)
+		self.ax.relim()
+		self.ax.autoscale_view()
+		self.ax.set_title("Estimated course (nominal rates, no plant model) "
+			"- {:.0f} min total".format(t_min[-1] if t_min else 0.0), fontsize='small')
+		self.figure.tight_layout()
+		self.draw_idle()
+
+
 class Window(QtWidgets.QMainWindow, Ui_MainWindow):
 	def __init__(self):
 		QtWidgets.QMainWindow.__init__(self)
@@ -159,6 +217,11 @@ class Window(QtWidgets.QMainWindow, Ui_MainWindow):
 		self.plot_timer.timeout.connect(self.on_plot_timer)
 		self.plot_timer.start(1000)
 
+		self.forecast_plot = SudForecastPlot()
+		forecast_layout = QtWidgets.QVBoxLayout(self.widget_plot_forecast)
+		forecast_layout.setContentsMargins(0, 0, 0, 0)
+		forecast_layout.addWidget(self.forecast_plot)
+
 	def connect(self):
 		self.slider_pwr_initial_update = True
 		self.slider_temp_soll_initial_update = True
@@ -168,6 +231,11 @@ class Window(QtWidgets.QMainWindow, Ui_MainWindow):
 		self.heatrate_soll_initial_update = True
 		self.plot.reset()
 		self.ws_client.connect(uri=self.plainTextUri.toPlainText())
+		# Fetch the schedule for the Automatic tab's forecast preview - not
+		# a user-initiated download, so sud_download_path stays None and
+		# on_sud_changed() routes the reply to update_sud_forecast() instead
+		# of a save dialog.
+		self.msg_sud.send({'Download': True})
 
 	def on_plot_timer(self):
 		self.plot.sample(
@@ -305,13 +373,26 @@ class Window(QtWidgets.QMainWindow, Ui_MainWindow):
 	def on_sud_changed(self, msg):
 		print("on_sud_changed {}".format(msg))
 		for key in msg:
-			if "Json" in key and self.sud_download_path:
-				with open(self.sud_download_path, 'w') as f:
-					json.dump(msg['Json'], f, indent='\t')
-				self.sud_download_path = None
+			if "Json" in key:
+				if self.sud_download_path:
+					with open(self.sud_download_path, 'w') as f:
+						json.dump(msg['Json'], f, indent='\t')
+					self.sud_download_path = None
+				else:
+					self.update_sud_forecast(msg['Json'])
 			elif "Name" in key:
 				self.statusBar().showMessage("Sud schedule updated: {}".format(msg['Name']), 5000)
 
+	def update_sud_forecast(self, doc):
+		try:
+			_, _, schedule, _, _ = Sud._parse_data(doc)
+		except (KeyError, TypeError):
+			return
+		# No measured starting temperature is available before a brew has
+		# started; fall back to a plausible ambient guess.
+		start_theta = self.plot_temp_ist if self.plot_temp_ist else 20.0
+		self.forecast_plot.show_schedule(schedule, start_theta)
+
 	def closeEvent(self, event):
 		print("Exitting gracefully!")
 		self.ws_client.disconnect()
diff --git a/client/main_window.py b/client/main_window.py
index 6ec9f92..7bb797c 100644
--- a/client/main_window.py
+++ b/client/main_window.py
@@ -246,6 +246,12 @@ class Ui_MainWindow(object):
         self.horizontalTabWidget.addTab(self.horizontalTabWidgetPage1, "")
         self.tab = QtWidgets.QWidget()
         self.tab.setObjectName("tab")
+        self.verticalLayout_forecast = QtWidgets.QVBoxLayout(self.tab)
+        self.verticalLayout_forecast.setObjectName("verticalLayout_forecast")
+        self.widget_plot_forecast = QtWidgets.QWidget(self.tab)
+        self.widget_plot_forecast.setMinimumSize(QtCore.QSize(0, 400))
+        self.widget_plot_forecast.setObjectName("widget_plot_forecast")
+        self.verticalLayout_forecast.addWidget(self.widget_plot_forecast)
         self.horizontalTabWidget.addTab(self.tab, "")
         self.tab_2 = QtWidgets.QWidget()
         self.tab_2.setObjectName("tab_2")
diff --git a/tasks/sud.py b/tasks/sud.py
index 4ff1de1..f92b9a6 100644
--- a/tasks/sud.py
+++ b/tasks/sud.py
@@ -74,6 +74,7 @@ class SudTask(ATask):
 			elif 'Upload' in pair[0]:
 				if self.sud.upload(pair[1]):
 					await self.send({'Name': self.sud.name, 'Description': self.sud.description})
+					await self.send({'Json': pair[1]})
 
 	async def send(self, data):
 		await self.msg_handler.send(data)