Karvahattu Hemuli

Karvahattu Hemuli — CS2 Stats

FI76561198118334653[U:1:158068925]Steam profile ↗✓ No bans

1,231Tracked matches33%Win rate2020Tracked since
4,318Hours in CS2Hrs last 2 wks
CSDB Rating3.2 Learning
Ladder ranks via Leetify

Performance scores

Aim31
Positioning49
Utility48

0–100 skill scores via Leetify.

Recent form

COLD4852Last 10048%Win rateWLLWWLLLLL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim3.1
Aggression6.9
Utility4.8
Positioning4.9
Opening Duels2.9
Clutch4.4

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 80% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.1
Positioning4.9
Utility4.8
Mechanics4.1
Opening Duels2.9
Win Impact0.0

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time638ms−26ms
first ⅓ avg 665ms → last ⅓ avg 638ms
Headshot accuracy10.8%−1.2%
first ⅓ avg 11.9% → last ⅓ avg 10.8%

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

0.11Best rating — nuke 13–4
132Biggest win — dust2
4Longest win streak
714In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 59% over 29infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
ancientA29171259%-0.00
nukeA1810856%-0.02
dust2B189950%-0.02
overpassC125742%-0.01
infernoD82625%-0.01
mirageD62433%-0.06
trainC52340%-0.01
anubis21150%-0.03
italy1010%-0.07
vertigo1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

141,058Lifetime kills
1.00K/D
7,545Matches
40.2%Match win rate
32.3%Headshot %
18.3%Shot accuracy · Top 10% of tracked players
14,469MVPs
2,498Hours (in match)
7,583Bombs planted
1,325Bombs defused

Most-used weapons

AK-4732,388
AWP16,919
SG 5533,911
MAC-103,292
P903,199
AUG3,061

Lifetime map wins

23,147vertigo
6,129dust2
3,817inferno
2,834nuke
1,043train
504office
490cbble
394lake

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

Faceit stats

Combat

505Matches
52%Win rate
0.94Avg K/D
74.5ADR
35%Headshot %

Clutches & streaks

42%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient12452%0.8714.0
Anubis6648%0.8814.1
Vertigo5670%1.1116.7
Dust25131%0.7914.1
Inferno2250%0.8014.6
Mirage2236%0.7012.7
Nuke2143%0.9814.3
Train911%1.0015.9

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.

11.2%Headshot accuracy
31.6%Accuracy (enemy spotted)
30.0%Spray accuracy
68.5%Counter-strafing
11.7°Preaim
643msReaction time
37.7%T opening success
45.4%CT opening success
0.58Enemies flashed / flash
5.9%Flash assists
9.73HE damage / grenade
5.82Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.1976% — below the 15% mark we flag

    Aim Training
  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 37.726% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0110%23 Aug
inferno3–13-0.0315%14 May
anubis3–13-0.057%26 Apr
nuke13–9-0.027%26 Apr
nuke13–10-0.0411%29 Mar
ancient10–13-0.0111%28 Mar
dust25–13-0.0517%28 Mar
ancient11–13-0.029%25 Mar
nuke8–13-0.0513%19 Mar
overpass11–13-0.0412%7 Mar
ancient13–110.0715%7 Mar
ancient13–110.033%4 Mar
mirage3–13-0.109%10 Feb
dust211–13-0.0215%10 Feb
overpass5–13-0.039%9 Feb
inferno11–13-0.056%9 Feb
ancient13–50.0323%9 Feb
ancient12–16-0.0319%5 Feb
ancient10–130.0210%2 Jan
inferno11–130.0218%26 Dec
ancient9–13-0.0112%8 Dec
overpass9–13-0.058%3 Dec
dust26–13-0.077%2 Dec
dust213–110.039%28 Nov
ancient9–13-0.0516%27 Nov
italy11–13-0.0716%12 Nov
ancient13–7-0.017%10 Nov
nuke13–70.027%5 Nov
ancient13–7-0.035%3 Nov
nuke7–13-0.088%29 Oct
inferno13–80.016%29 Oct
mirage10–13-0.0611%29 Oct
ancient13–3-0.064%23 Oct
inferno13–10-0.0514%22 Oct
dust213–70.0418%22 Oct
dust213–70.0116%21 Oct
dust211–130.008%20 Oct
overpass13–6-0.017%19 Oct
overpass13–80.0112%7 Oct
nuke4–130.016%7 Oct
ancient13–110.0220%4 Oct
ancient8–13-0.056%4 Oct
train11–13-0.0414%26 Sept
ancient13–40.027%26 Sept
dust213–9-0.0223%26 Sept
train11–13-0.0315%24 Sept
ancient13–50.0713%24 Sept
dust29–13-0.0213%24 Sept
nuke13–10-0.0113%24 Sept
ancient10–13-0.0314%24 Sept
dust213–20.016%24 Sept
dust28–13-0.043%18 Sept
nuke10–130.007%18 Sept
ancient9–13-0.045%15 Sept
train13–40.015%15 Sept
nuke13–40.1117%15 Sept
nuke8–13-0.019%14 Sept
nuke13–11-0.0112%14 Sept
ancient9–13-0.018%14 Sept
overpass13–5-0.0310%14 Sept
nuke13–100.0012%14 Sept
ancient13–10-0.0913%9 Sept
dust213–50.039%9 Sept
dust28–13-0.0610%9 Sept
ancient13–7-0.0318%9 Sept
nuke9–13-0.0417%8 Sept
train13–80.0117%8 Sept
overpass13–70.058%8 Sept
dust22–13-0.075%8 Sept
ancient13–9-0.0115%28 Aug
ancient13–90.0410%28 Aug
ancient13–30.106%28 Aug
nuke13–10-0.0514%28 Aug
overpass11–13-0.0014%28 Aug
ancient11–13-0.027%27 Aug
overpass6–13-0.0113%27 Aug
ancient13–80.0313%27 Aug
vertigo4–9-0.0713%27 Aug
nuke5–13-0.0510%27 Aug
train6–13-0.0115%27 Aug
overpass11–13-0.0114%26 Aug
ancient13–8-0.0415%26 Aug
overpass13–70.0422%26 Aug
inferno7–130.0017%14 Aug
inferno11–130.029%13 Aug
nuke16–14-0.0411%12 Aug
ancient16–140.0511%12 Aug
mirage13–5-0.1013%12 Aug
mirage13–2-0.019%6 Aug
dust27–13-0.0310%6 Aug
dust216–130.0213%5 Aug
mirage4–13-0.036%4 Aug
nuke13–90.0213%4 Aug
inferno8–13-0.0428%25 Jul
dust213–9-0.0423%25 Jul
overpass7–13-0.056%20 Jul
nuke11–13-0.056%20 Jul
ancient5–13-0.0513%20 Jul
dust213–6-0.0211%14 Jul
mirage6–13-0.094%14 Jul

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 →