diff --git a/rowers/c2stuff.py b/rowers/c2stuff.py
index c0a79f30..7ecea39e 100644
--- a/rowers/c2stuff.py
+++ b/rowers/c2stuff.py
@@ -56,7 +56,8 @@ def c2_open(user):
 
     return thetoken
 
-def add_stroke_data(user,c2id,workoutid,startdatetime,csvfilename):
+def add_stroke_data(user,c2id,workoutid,startdatetime,csvfilename,
+                    workouttype='rower'):
     r = Rower.objects.get(user=user)
     if (r.c2token == '') or (r.c2token is None):
 	return custom_exception_handler(401,s)
@@ -73,7 +74,7 @@ def add_stroke_data(user,c2id,workoutid,startdatetime,csvfilename):
                       c2id,
                       workoutid,
                       starttimeunix,
-                      csvfilename)
+                      csvfilename,workouttype=workouttype)
 
     return 1
 
@@ -164,7 +165,8 @@ def create_async_workout(alldata,user,c2id):
 
     # Check if workout has stroke data, and get the stroke data
 
-    result = add_stroke_data(user,c2id,w.id,startdatetime,csvfilename)
+    result = add_stroke_data(user,c2id,w.id,startdatetime,csvfilename,
+                             workouttype = w.workouttype)
 
     return w.id
 
@@ -392,6 +394,8 @@ def createc2workoutdata(w):
     d[0] = d[1]
     p = abs(10*row.df.ix[:,' Stroke500mPace (sec/500m)'].values)
     p = np.clip(p,0,3600)
+    if w.workouttype == 'bike':
+        p = 2.0*p
     t = t.astype(int)
     d = d.astype(int)
     p = p.astype(int)
@@ -830,6 +834,9 @@ def add_workout_from_data(user,importid,data,strokedata,
     pace = pace.replace(0,300)
 
     velo = 500./pace
+    if workouttype == 'bike':
+        velo = 1000./pace
+        pace = 500./velo
 
     power = 2.8*velo**3
     
diff --git a/rowers/dataprep.py b/rowers/dataprep.py
index 23294e2b..1f23f6ec 100644
--- a/rowers/dataprep.py
+++ b/rowers/dataprep.py
@@ -871,8 +871,6 @@ def save_workout_database(f2, r, dosmooth=True, workouttype='rower',
         # auto smoothing
         pace = row.df[' Stroke500mPace (sec/500m)'].values
         velo = 500. / pace
-        if workouttype == 'bikeerg':
-            velo = 1000. / pace
 
         f = row.df['TimeStamp (sec)'].diff().mean()
         if f != 0 and not np.isnan(f):
diff --git a/rowers/dataprepnodjango.py b/rowers/dataprepnodjango.py
index 57f13d2f..77b5b8fc 100644
--- a/rowers/dataprepnodjango.py
+++ b/rowers/dataprepnodjango.py
@@ -205,7 +205,7 @@ def create_c2_stroke_data_db(
 
 # Saves C2 stroke data to CSV and database
 def add_c2_stroke_data_db(strokedata,workoutid,starttimeunix,csvfilename,
-                          debug=False):
+                          debug=False,workouttype='rower'):
 
     res = make_cumvalues(0.1*strokedata['t'])
     cum_time = res[0]
@@ -246,7 +246,10 @@ def add_c2_stroke_data_db(strokedata,workoutid,starttimeunix,csvfilename,
     pace = pace.replace(0,300)
 
     velo = 500./pace
+    if workouttype == 'bike':
+        velo = 1000./pace
 
+    # This may be wrong for the bike erg
     power = 2.8*velo**3
     
     # save csv
diff --git a/rowers/datautils.py b/rowers/datautils.py
index fb9fe437..d7891767 100644
--- a/rowers/datautils.py
+++ b/rowers/datautils.py
@@ -3,6 +3,9 @@ import numpy as np
 from scipy.interpolate import griddata
 from scipy import optimize
 
+#p0 = [500,350,10,8000]
+p0 = [190,200,33,16000]
+
 def updatecp(delta,cpvalues,r):
     cp2 = r.p0/(1+delta/r.p2)
     cp2 += r.p1/(1+delta/r.p3)
@@ -38,7 +41,6 @@ def cpfit(powerdf):
     fitfunc = lambda pars,x: abs(pars[0])/(1+(x/abs(pars[2]))) + abs(pars[1])/(1+(x/abs(pars[3])))
     errfunc = lambda pars,x,y: fitfunc(pars,x)-y
     
-    p0 = [500,350,10,8000]
 
     p1 = p0
 
diff --git a/rowers/interactiveplots.py b/rowers/interactiveplots.py
index e305250b..f3e42627 100644
--- a/rowers/interactiveplots.py
+++ b/rowers/interactiveplots.py
@@ -71,6 +71,7 @@ import rowers.metrics as metrics
 from rowers.metrics import axes,axlabels,yaxminima,yaxmaxima
 
 from utils import lbstoN
+from datautils import p0
 import datautils
 
 watermarkurl = "/static/img/logo7.png"
@@ -1409,7 +1410,7 @@ def interactive_agegroupcpchart(age,normalized=False):
     fitfunc = lambda pars,x: pars[0]/(1+(x/pars[2])) + pars[1]/(1+(x/pars[3]))
     errfunc = lambda pars,x,y: fitfunc(pars,x)-y
 
-    p0 = [500,350,10,8000]
+    #    p0 = [500,350,10,8000]
 
     # fitting WC data to three parameter CP model
     if len(fhduration)>=4:
@@ -1640,9 +1641,9 @@ def interactive_agegroup_plot(df,distance=2000,duration=None,
     fitfunc = lambda pars, x: np.abs(pars[0])*(1-x/max(120,pars[1]))-np.abs(pars[2])*np.exp(-x/np.abs(pars[3]))+np.abs(pars[4])*(np.sin(np.pi*x/max(50,pars[5])))
     errfunc = lambda pars, x,y: fitfunc(pars,x)-y
 
-    p0 = [700,120,700,10,100,100]
+    p0age = [700,120,700,10,100,100]
 
-    p1, success = optimize.leastsq(errfunc,p0[:],
+    p1, success = optimize.leastsq(errfunc,p0age[:],
                                    args = (age,power))
 
     expo_vals = fitfunc(p1, age2)
@@ -1755,7 +1756,7 @@ def interactive_cpchart(rower,thedistances,thesecs,theavpower,
     fitfunc = lambda pars,x: pars[0]/(1+(x/pars[2])) + pars[1]/(1+(x/pars[3]))
     errfunc = lambda pars,x,y: fitfunc(pars,x)-y
 
-    p0 = [500,350,10,8000]
+    # p0 = [500,350,10,8000]
     wcpower = pd.Series(wcpower)
     wcdurations = pd.Series(wcdurations)
 
diff --git a/rowers/tasks.py b/rowers/tasks.py
index 67910935..1581d28c 100644
--- a/rowers/tasks.py
+++ b/rowers/tasks.py
@@ -89,7 +89,12 @@ def handle_c2_import_stroke_data(c2token,
                                  c2id,workoutid,
                                  starttimeunix,
                                  csvfilename,debug=True,**kwargs):
-    
+
+    if 'workouttype' in kwargs:
+        workouttype = kwargs['workouttype']
+    else:
+        workouttype = 'rower'
+        
     authorizationstring = str('Bearer ' + c2token)
     headers = {'Authorization': authorizationstring,
 	       'user-agent': 'sanderroosendaal',
@@ -100,7 +105,7 @@ def handle_c2_import_stroke_data(c2token,
         strokedata = pd.DataFrame.from_dict(s.json()['data'])
         result = add_c2_stroke_data_db(
             strokedata,workoutid,starttimeunix,
-            csvfilename,debug=debug,
+            csvfilename,debug=debug,workouttype=workouttype
         )
 
         return 1
diff --git a/rowers/templates/document_form.html b/rowers/templates/document_form.html
index 67e38300..ab8a59f3 100644
--- a/rowers/templates/document_form.html
+++ b/rowers/templates/document_form.html
@@ -87,6 +87,7 @@ $( document ).ready(function() {
             || $(this).val() == 'dynamic'
             || $(this).val() == 'slides'
             || $(this).val() == 'paddle'
+            || $(this).val() == 'bike'
             || $(this).val() == 'snow'
         ) {
             $('#id_boattype').toggle(false);
diff --git a/rowers/templates/manualadd.html b/rowers/templates/manualadd.html
index b5dff315..ef7ecc78 100644
--- a/rowers/templates/manualadd.html
+++ b/rowers/templates/manualadd.html
@@ -21,6 +21,7 @@ $( document ).ready(function() {
             || $(this).val() == 'dynamic'
             || $(this).val() == 'slides'
             || $(this).val() == 'paddle'
+            || $(this).val() == 'bike'
             || $(this).val() == 'snow'
         ) {
             $('#id_boattype').toggle(false);
diff --git a/rowers/templates/workout_form.html b/rowers/templates/workout_form.html
index fcd4b1d7..9cdb027c 100644
--- a/rowers/templates/workout_form.html
+++ b/rowers/templates/workout_form.html
@@ -29,6 +29,7 @@ $( document ).ready(function() {
             || $(this).val() == 'slides'
             || $(this).val() == 'paddle'
             || $(this).val() == 'snow'
+            || $(this).val() == 'bike'
         ) {
             $('#id_boattype').toggle(false);
             $('#id_boattype').val('1x');        
diff --git a/rowers/views.py b/rowers/views.py
index 023bb26f..5b2c47d5 100644
--- a/rowers/views.py
+++ b/rowers/views.py
@@ -9757,7 +9757,7 @@ def workout_getimportview(request,externalid,source = 'c2'):
         w = Workout.objects.get(id=id)
         w.uploadedtoc2 = c2id
         w.name = 'Imported from C2'
-        w.workouttype = 'rower'
+        w.workouttype = workouttype
         w.save()
 
         message = "This workout does not have any stroke data associated with it. We created synthetic stroke data."