CAT 2022 Mocks

Overall Mock Performances

Mocks Completed 12 out of 30

Mock	Topper	AIR	Percentile	VARC	LRDI	QA	Total
iCAT29	Abhirup Sen	02	99.78	30	20	30	80
iCAT28	Yatharth	04	99.72	38	23	27	88
iCAT26	Navya Bhatnagar	03	99.83	40	18	27	85
iCAT25	Shweatha G	01	99.91	50	33	18	101
iCAT24	Gaurav Acharya	04	99.50	53	15	27	95
iCAT23	Vedant Malpani	29	99.20	30	30	34	104
iCAT22	Vedant Malpani	05	99.90	41	28	36	105
iCAT21	Vedant Malpani	25	99.44	33	36	30	99
iCAT20	Shaurya Thakur	06	99.85	38	22	45	105
iCAT19	Jessy Mary Navin	02	99.95	56	30	39	125
iCAT18	Jessy Mary Navin	40	98.92	32	21	38	91
iCAT16	Jessy Mary Navin	03	99.95	40	26	51	117
iCAT15	Jessy Mary Navin	62	98.98	43	27	29	99
iCAT14	Tushar Garg Jessy Mary Navin	09 09	99.86 99.86	44 46	27 33	33 25	104 104
iCAT13	Abirami R	06	99.91	49	24	45	118
iCAT12	Shweatha G	04	99.94	43	35	38	116

iCAT19 Top-10%-ile

Rank	Name	AIR	Percentile	VARC	DILR	QA	Total
1	Jessy Mary Navin	2	99.95	56	30	39	125
2	Naman Mehta	11	99.71	44	30	36	110
3	Abirami R	14	99.63	52	26	29	107
4	Adhoxaja Kulkarni	19	99.50	49	30	26	105
5	Jhanak Gupta	23	99.39	36	25	42	103
6	Sreedev E P	27	99.29	41	30	30	101
7	Riya Jain	31	99.18	34	36	29	99
8	Gaurav Acharya	53	98.62	52	24	21	97
9	Anandapadmanabhan AP	76	97.99	43	20	32	95
10	Ankush Walia	78	97.93	27	39	28	94
11	Ameesh Kumar Singh	78	97.93	26	33	35	94
12	Rishwin Lal Thayat	92	97.56	36	32	23	91
13	Syed Afran Ahmmad	92	97.56	43	18	30	91
14	Shailesh Kumar	101	97.33	42	30	18	90
15	Urnisha Nandy	105	97.22	46	18	24	88
16	Vamsi Gupta Burle	105	97.22	23	30	35	88
17	Gopi Krishna G	107	97.17	26	33	28	87
18	Vedant Malpani	114	97.01	29	19	37	85
19	Akshat Agarwal	114	97.01	25	34	26	85
20	Tushar Garg	145	96.19	43	21	19	83
21	JAWAHAR	145	96.19	38	18	27	83
22	Ann Francis	160	95.79	39	22	21	82
23	Gourav Meher	175	95.39	43	14	24	81
24	Anisha Agarwal	209	94.49	23	30	26	79
25	Ramkumar M	209	94.49	34	30	15	79
26	Shaurya Thakur	225	94.07	14	30	34	78
27	Agastya sahi	244	93.57	15	33	29	77
28	Muthu Bharathi S	262	93.09	44	18	14	76
29	Raahul Ram	278	92.67	38	18	19	75
30	Anagha Alurkar	278	92.67	34	17	24	75
31	Nice Noble	278	92.67	46	19	10	75
32	Akash Antony J	309	91.82	27	29	17	73
33	Mayuresh Mande	309	91.82	35	18	20	73
34	Rashmi Thekkath	319	91.55	44	4	24	72
35	Abhishek Saxena	319	91.55	37	27	8	72
36	Advait Medhekar	336	91.10	26	22	21	69
37	Santhosh Kumar J	336	91.10	30	26	13	69
38	Yatharth	336	91.10	33	4	32	69
39	Vignesh Kumar N	336	91.10	35	18	16	69
40	Vimpadapu Varun	346	90.84	27	11	30	68
41	Swetlina Mitra	353	90.65	36	18	13	67
42	Ramanujam	353	90.65	26	30	11	67
43	KV Sai Teja	360	90.47	21	23	22	66
44	Aditya Sairam G	377	90.05	32	18	15	65

Why Take Mocks?

The biggest mistake that students make, is believing that mocks are to be taken to get a good score. That is the last thing anyone should be worried about.

Mock tests are a learning tool and a very important one at that. It’s like a computerised simulation of skydiving where crashing without your parachute has no consequences. Use the mocks to feel secure in making mistakes so that after the test you can learn from them.

Do not get disheartened on scoring low in mocks. Scoring high in mocks should be a bigger disappointment as it robs you off an opportunity to learn and improve.

Analysing the Mocks

‘A mock taken and left unanalyzed, is a mock wasted.’

At least twice the time required to take a mock should be dedicated towards analyzing it. You need to pin-point the topics in which you are lagging and understand what small changes in approach and preparation could have led to a better performance.

Focus on your worst mistakes and aim to not repeat them. Believe in small incremental changes, as just one more correct answer in every subsequent mock can lead to 90 marks more by the time you take up the actual CAT paper.

Filling the Gaps

This step after the analysis separates the serious aspirants from the insincere riffraff. Taking mocks without clarity of what we are trying to achieve in it, is indicative of a ‘headless chicken’ approach. Strenuous efforts without direction will yield no results and this direction will be provided by our attempts to fill in the gaps after every mock analysis.

You need to specifically practice and work on the topics which you have identified as pain points during mock analysis before the next mock to ensure you are better prepared to face the music. Make a note of all your previous mistakes to avoid repeating them in the next mock.

CAT 2022 Mocks

Overall Mock Performances

iCAT19 Top-10%-ile

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