The CLPP is based on an Advanced Statistical Model which has been developed over the past seven years after analyzing the correlation of mock scores against final CAT percentiles submitted by students. The model works not just with CL mock scores but also with ** mocks of other testprep organisations **. If you have taken any mock of CL & TIME you can submit the scores and see your ** CAT 2016 Predicted Percentile ** on the next page. The models predicts two percentiles - A Best-Case Perentile based on your best score and a Most Likely Percentile value based on a combination of your scores.

This tool is free for CL Test Series and Classroom students. However, if you are student of other institutes, you have to purchase the __CL CAT Percentile Predictor for non-CL Mocks__ which is available at very special price. We will continue to add data related to the subsequent mocks as they are released and analyzed by our team.

- If the percentile predictor receives scores of multiple institutes then we provide a prediction based on a combination of mocks of all the institutes, as per an algorithm designed by our research team.
- You need to take at least
**4 Mocks**of any institute to view the predicted percentile. - Your CL Mock scores will be automatically picked up (Proctored Mocks only)
- You need to submit each AIMCAT score - please do not enter any scores which do not represent your normal performance (e.g an unusually high or low score)

The predictions are based on statistical modeling done of studentsï¿½ attempts and their corresponding CAT scores. For example, after CAT 2015 we analyzed the records of 753 students who had submitted their feedback about the CLPP. Over 35% of them reported that the predicted CAT percentiles based on their Mock Scores was within 0.5%ile of their actual CAT percentiles. In 2014, our model was able to predict the CAT Scores of 2014 to within 0.5 percentile of the actual CAT 2014 score for over 30% of the students who had submitted their final scores to CL. In CAT 2013 and CAT 2012, we had a similar success rate.

The CLPP is a statistical model which has been modelled on data of tens of thousands of students each year. Our database of actual CAT percentiles scores obtained by students and their scores in Mocks of CL/TIME etc have built over years. Our academic teams analyse all mocks in terms of the relative degree of difficulty and estimate their statistcal parameters and feed the same in the model. Over time, we have reached a level of confidence that we can do it for other Institutes too.

User ID |
CAT %ile |
CL Predicted %ile |
Students Feedback |

1166203 | 96.2 | 95.06 | Its very close to the actual percentile. Keep up the good work !! |

1172716 | 94.25 | 95.31 | The percentile predictor is highly dependent on student's self assessment about the accuracy, thus the individual percentile can be highly unpredictable. But on the basis of the number of questions generally attended by students throughout, the accuracy of the predictor is undoubtedly good. |

1207650 | 94.25 | 93.83 | It is an awesome tool. Really helpful. CL is the best! |

1079118 | 99.7 | 99.9 | Quite accurate! |

1123493 | 69.66 | 65.15 | mock based prediction is good |

1113154 | 93.54 | 96.99 | In section 1 it did'nt predict correctly bt, section 2 prediction was close. So, a thumbs up from my side to thre predictor, but it needs improvement. |

1047056 | 87.77 | 91.94 | I have no problem with the CL predictor.It predicted my section 2 percentiles accurately |

1166203 | 96.2 | 95.06 | Its very close to the actual percentile. Keep up the good work !! |

1136218 | 96.2 | 96.33 | CL predictor is doing great |

1220085 | 82.87 | 77.07 | cl percentile predictor is just awesome..it had estimated the exact score of my cat. |

1103692 | 99.9 | 99.81 | It was great...:) |

1164343 | 99.63 | 99.97 | Good close estimates. |

1058150 | 99.49 | 99.11 | It is very accurate |

1223799 | 88.93 | 88.19 | Great Estimate by Career Launcher and Team. Cheers! |

1039456 | 88.17 | 88.51 | Its quite accurate. |

1133497 | 93.78 | 94.69 | It was nearly accurate |

1185635 | 98.74 | 98.55 | Quant percentile predictor is off the mark. |