diff --git a/plot.py b/plot.py
index a7ae910..b5a9136 100644
--- a/plot.py
+++ b/plot.py
@@ -46,14 +46,9 @@ dates = impfungen['Datum']
 daily = impfungen['Gesamtzahl Impfungen']
 cumulative = np.cumsum(impfungen['Gesamtzahl Impfungen'])
 
-total_vaccinations = int(np.sum(daily))
-total_vaccinations_percentage = float(total_vaccinations) / einwohner_deutschland
-print(total_vaccinations_percentage)
-
 mean_vaccinations_daily = np.mean(daily)
-mean_vaccinations_daily_int = int(np.round(mean_vaccinations_daily))
 
-to_be_vaccinated = einwohner_deutschland - total_vaccinations
+to_be_vaccinated = einwohner_deutschland - np.sum(daily)
 days_extrapolated = int(np.ceil(to_be_vaccinated / mean_vaccinations_daily))
 
 extrapolated_dates = np.array([dates[0] + datetime.timedelta(days=i) for i in range(days_extrapolated)])
@@ -61,7 +56,6 @@ extrapolated_dates = np.array([dates[0] + datetime.timedelta(days=i) for i in ra
 extrapolated_vaccinations = mean_vaccinations_daily * range(days_extrapolated)
 
 
-
 # Stand aus Daten auslesen
 #stand = dates.iloc[-1]
 #print_stand = stand.isoformat()
@@ -84,12 +78,7 @@ def plot_extrapolation_portion(percentage):
 
 	plt.title(
 		'Tägliche Impfquote, kumulierte Impfungen und lineare Extrapolation bis {} % der Bevölkerung Deutschlands\n'
-		'Erstellung: {}, Datenquelle: RKI, Stand: {}\n'
-		'Impfungen gesamt: {} ({} %), Durchschnittliche Impfrate: {} Impfungen/Tag'.format(
-			print_percentage,
-			print_today, print_stand,
-			total_vaccinations, np.round(total_vaccinations_percentage * 100, 2), mean_vaccinations_daily_int
-		)
+		'Erstellung: {}, Datenquelle: RKI, Stand: {}'.format(print_percentage, print_today, print_stand)
 	)
 
 	ax2 = ax.twinx()
@@ -100,7 +89,7 @@ def plot_extrapolation_portion(percentage):
 	ax2.set_xlim(xmax=dates[0] + datetime.timedelta(days=percentage * days_extrapolated))
 	ax2.grid(True)
 	ax2.plot(dates, cumulative, color='red', label='Kumulierte Impfungen')
-	ax2.plot(extrapolated_dates, extrapolated_vaccinations, color='orange', label='Extrap. kumulierte Impfungen\n({} Impfungen/Tag)'.format(mean_vaccinations_daily_int))
+	ax2.plot(extrapolated_dates, extrapolated_vaccinations, color='orange', label='Kumulierte Impfungen (linear extrap.)')
 	#ax2.plot()
 
 	ax.legend(loc='upper left')