diff --git a/uefa/feb24_checkandschedule/uefa_tester_24_xpress.py b/uefa/feb24_checkandschedule/uefa_tester_24_xpress.py
index 2ea4ccd..a9d1f50 100644
--- a/uefa/feb24_checkandschedule/uefa_tester_24_xpress.py
+++ b/uefa/feb24_checkandschedule/uefa_tester_24_xpress.py
@@ -134,7 +134,7 @@ def simulate_craw_and_calendar(thread, nSimulations):
     #     nSims=int(sys.argv[1])
 
 
-    mbus_time = 0
+    mbus_solvetime = 0
     cal_vartime = 0
     cal_constrtime = 0
     cal_solvetime = 0
@@ -145,12 +145,11 @@ def simulate_craw_and_calendar(thread, nSimulations):
     solution_strings =[]
     for i in range(nSims):
         
-        ttt = time.time()
         
         if i%100==0:
             with open(f"{logfile}.log", "a") as f:
                 f.write(f"{thread}: {i} after {datetime.now()-now}\n")
-                f.write(f"\tmbus_time: {mbus_time}\n")
+                f.write(f"\tmbus_solvetime: {mbus_solvetime}\n")
                 f.write(f"\tcal_vartime: {cal_vartime}\n")
                 f.write(f"\tcal_constrtime: {cal_constrtime}\n")
                 f.write(f"\tcal_solvetime: {cal_solvetime}\n")
@@ -170,13 +169,15 @@ def simulate_craw_and_calendar(thread, nSimulations):
         # mbus.setObjective(quicksum([  max(0,int(pa[0][1]) - int(pa[1][1] )) * plays[pa] for pa in possAssigns ]))    
 
         # print ("DRAWING !!!!")
+        ttt = time.time()
 
         # mbus.optimize()
         mbus.solve()
         checker_sol = mbus.getSolution(plays)
         
-        mbus_time += time.time()-ttt
+        mbus_solvetime += time.time()-ttt
         ttt = time.time()
+        
         sol= [ pa for pa in possAssigns if checker_sol[pa]>0.9]
         solutions.append(sol.copy())
         
@@ -319,6 +320,8 @@ def simulate_craw_and_calendar(thread, nSimulations):
             # sol= [ (t1,t2) for (t1,t2) in sol if t1[0]=="A" and t2[0]=="D"  ]
             print ("No calendar for ", sol)
             print ("Tested " , str(i+1) , " calendars" )
+            print("Status",cal.getProbStatus(),f"{cal.getProbStatus()}")
+            print("Solution",cal.getObjVal())
             exit(0)
 
         # pas2_sol= [ pas for pas in pas2 if cal.getSolution(x[pas])>0.9]