Rohit Mehra

Rohit Mehra — CS2 Stats

76561197977507843[U:1:17242115]Steam profile ↗✓ No bans

1,569Tracked matches50%Win rate2020Tracked since
4,786Hours in CS17Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating22,272Top 50% of 44,590 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)
CSDB Leaderboard#14728 of 57664 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=2,669), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate34.9%42.7%43.7%8.9% short
Shot accuracy15.9%10.8%11.8%above
Kill/death ratio1.061.001.02above
Match win rate48.8%44.1%45.0%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRohit MehraFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER22,272 · Pink bandcsdb.gg/stats

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Performance scores

Aim66
Positioning56
Utility42

0–100 skill scores via Leetify.

Recent form

COLD55441Last 10055%Win rateLLLLLWLWLL

Last 10 vs previous 10: -60pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression8.8
Utility4.2
Positioning5.6
Opening Duels3.3
Clutch1.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: higher opening-fight frequency; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.6
Positioning5.6
Utility4.2
Mechanics7.1
Opening Duels3.3
Win Impact5.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time597ms−25ms
first ⅓ avg 622ms → last ⅓ avg 597ms
Headshot accuracy17.6%+2.9%
first ⅓ avg 14.6% → last ⅓ avg 17.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.16Best rating — ancient 13–5
132Biggest win — mirage
7Longest win streak
L5Current streak
1211In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 92% over 13infernoWeakest map · 43% over 21
MapGradePlayedRecordWin rateAvg rating
infernoC2191243%-0.01
dust2A2011955%0.01
ancientB1910953%0.00
mirageB136746%-0.00
anubisS1312192%0.01
cacheA116555%0.01
nuke31233%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,135Lifetime kills
1.06K/D · Top 50% of Level 4 players
5,626Matches
48.8%Match win rate · Top 25% of Level 4 players
34.9%Headshot %
15.9%Shot accuracy · Top 25% of Level 4 players
15,348MVPs
2,499Hours (in match)
6,440Bombs planted
1,517Bombs defused

Most-used weapons

AWP29,374
AK-4720,060
P906,513
P2502,985
SSG 082,847
MP72,568

Lifetime map wins

26,414dust2
10,542inferno
1,931nuke
1,467vertigo
873train
150office
104italy
103aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

16Matches
44%Win rate
0.96Avg K/D
89.0ADR
49%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient2100%1.4413.0
Mirage20%0.8414.0
Inferno10%0.7311.0
Nuke10%0.417.0
Cache10%1.2922.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
31.8%Spray accuracy
81.9%Counter-strafing
9.8°Preaim
591msReaction time
36.4%T opening success
49.9%CT opening success
0.37Enemies flashed / flash
2.1%Flash assists
8.50HE damage / grenade
6.40Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3731 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.4069% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

43% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0528%28 Aug
mirage9–13-0.0129%28 Aug
mirage8–130.0221%26 Aug
mirage14–16-0.0213%25 Aug
ancient9–13-0.0224%25 Aug
ancient13–60.0119%25 Aug
ancient1–13-0.073%24 Aug
cache13–110.0121%24 Aug
mirage7–130.029%24 Aug
nuke9–130.0419%24 Aug
inferno13–100.0618%24 Aug
dust213–90.0317%24 Aug
inferno2–13-0.046%24 Aug
dust213–70.0121%23 Aug
ancient13–8-0.0124%19 Aug
inferno8–130.0820%19 Aug
mirage13–2-0.0320%18 Aug
dust213–7-0.0123%17 Aug
ancient13–50.099%17 Aug
mirage13–20.048%16 Aug
anubis13–110.0221%16 Aug
inferno5–13-0.0624%14 Aug
anubis13–11-0.0318%14 Aug
dust214–160.0520%13 Aug
inferno16–13-0.0112%11 Aug
mirage2–130.0025%11 Aug
ancient9–130.0315%10 Aug
dust213–90.0714%10 Aug
anubis13–70.0424%10 Aug
cache6–13-0.016%9 Aug
inferno7–40.0117%9 Aug
dust214–160.0323%9 Aug
inferno11–13-0.038%5 Aug
ancient13–11-0.0315%4 Aug
anubis13–100.0511%4 Aug
anubis13–110.0114%4 Aug
anubis13–40.0515%3 Aug
cache13–60.0316%3 Aug
anubis16–140.039%2 Aug
inferno13–110.1320%2 Aug
nuke6–13-0.056%2 Aug
mirage13–9-0.0017%2 Aug
dust28–13-0.0517%2 Aug
ancient16–14-0.0111%2 Aug
dust25–13-0.0410%1 Aug
dust213–60.089%1 Aug
anubis7–13-0.057%31 Jul
cache8–13-0.0615%30 Jul
inferno9–130.0118%30 Jul
ancient13–90.0410%28 Jul
mirage13–70.0219%28 Jul
inferno13–100.0215%27 Jul
anubis13–100.0013%27 Jul
dust213–80.0524%27 Jul
ancient13–50.1613%27 Jul
ancient11–13-0.059%26 Jul
dust213–100.0219%26 Jul
inferno11–13-0.0622%26 Jul
dust26–13-0.0511%26 Jul
inferno13–80.014%26 Jul
dust213–10-0.0221%26 Jul
cache14–160.0212%25 Jul
inferno7–13-0.0425%25 Jul
inferno11–130.0212%24 Jul
ancient13–110.0413%24 Jul
cache13–50.058%23 Jul
mirage3–13-0.0715%22 Jul
cache11–13-0.0324%22 Jul
mirage13–50.028%22 Jul
ancient13–100.0211%21 Jul
mirage5–130.0124%21 Jul
inferno16–140.0018%21 Jul
dust210–13-0.0317%21 Jul
dust216–140.0215%17 Jul
dust214–160.0315%14 Jul
inferno10–130.027%14 Jul
anubis13–10-0.089%14 Jul
ancient11–13-0.0414%13 Jul
inferno13–10-0.0814%13 Jul
cache5–130.0714%13 Jul
cache13–80.0315%12 Jul
dust29–130.0315%12 Jul
ancient3–13-0.089%12 Jul
inferno9–13-0.0417%12 Jul
cache13–7-0.0214%12 Jul
dust213–80.0522%12 Jul
inferno6–13-0.104%12 Jul
nuke13–4-0.049%11 Jul
inferno13–80.0214%11 Jul
anubis13–70.0526%11 Jul
ancient6–13-0.049%11 Jul
dust213–60.0017%11 Jul
ancient5–130.0015%9 Jul
cache16–12-0.0120%9 Jul
ancient8–13-0.0111%4 Jul
anubis13–110.0211%29 Jun
mirage13–8-0.0125%29 Jun
anubis13–5-0.0116%28 Jun
inferno15–15-0.0313%28 Jun
ancient13–40.0112%26 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →