CAT 2022 Mocks

Overall Mock Performances

Mocks Completed 17 out of 29

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

iCAT13 Top-10%-ile

Rank	Name	AIR	Percentile	VARC	DILR	QA	Total
1	Abirami R	6	99.91	49	24	45	118
2	Madhav Mantri	13	99.8	42	35	33	110
3	Jessy Mary Navin	17	99.74	51	27	29	107
4	Sreedev E P	19	99.71	46	16	44	106
5	Vedant Malpani	19	99.71	26	36	44	106
6	Yatharth	53	99.19	33	23	44	100
7	Rishwin Lal Thayat	53	99.19	33	33	34	100
8	Shweatha	68	98.96	38	24	37	99
9	Nimish Gireesh	68	98.96	53	20	26	99
10	Anany Purwar	79	98.79	36	23	39	98
11	Gaurav Acharya	89	98.64	43	21	33	97
12	Santhosh Kumar J	99	98.48	35	20	41	96
13	Jhanak Gupta	99	98.48	37	14	45	96
14	Siddharth Gupta	99	98.48	45	9	42	96
15	Rithu Sreetha R	111	98.28	42	18	35	95
16	Shaurya Thakur	117	98.19	27	27	39	93
17	Jawahar	119	98.15	47	15	30	92
18	Naman Mehta A	131	97.97	33	17	39	89
19	Riya Jain	137	97.88	40	20	27	87
20	Devansh Garg	137	97.88	47	1	39	87
21	Tushar Garg	142	97.80	41	15	30	86
22	Gourav Meher	142	97.80	42	19	25	86
23	Vimpadapu Varun	154	97.61	43	10	32	85
24	Polamarasetti Kalyan Srinivas	218	96.62	30	33	20	83
25	Gopi Krishna G	289	95.52	32	13	36	81
26	Astha Baheti	289	95.52	12	27	42	81
27	Agastya sahi	322	95.02	27	26	27	80
28	Muthu Bharathi S	357	94.48	37	24	18	79
29	Prajwal Deep	357	94.48	37	18	24	79
30	Anandapadmanabhan AP	357	94.48	22	26	31	79
31	Keerthidhar Amarapu	357	94.48	32	15	32	79
32	Advait Medhekar	423	93.44	27	20	29	76
33	Ramanjit sahoo	423	93.44	28	20	28	76
34	V Ajitabh Karan	427	93.38	32	20	23	75
35	Vignesh kumar n	427	93.38	42	8	25	75
36	Rashmi Thekkath	427	93.38	30	12	33	75
37	Akshat Agarwal	427	93.38	10	24	41	75
38	Kathiravan E	435	93.25	36	12	26	74
39	Pranav Vyas	440	93.18	38	8	26	72
40	Adhoxaja Kulkarni	440	93.18	35	4	33	72
41	Shailesh Kumar	466	92.79	39	12	20	71
42	Christopher S	547	91.53	21	16	33	70
43	Tanishq Bheda	547	91.53	34	12	24	70
44	Ankush Walia	628	90.28	15	25	29	69
45	Yashwanth Raj S	628	90.28	26	24	19	69

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

iCAT13 Top-10%-ile

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