hamú — CS2 Stats

76561198083882602[U:1:123616874]Steam profile ↗✓ No bans

1,053Tracked matches40%Win rate2020Tracked since

7,272Hours in CS

CSDB Rating4.9 DevelopingPassive Rifler

FaceitLevel 9 · 1,908 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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.

Metric	This player	Level 9 median	Level 10 median	vs Level 10
Headshot rate	56.3%	48.5%	51.9%	above
Shot accuracy	19.2%	13.3%	13.7%	above
Kill/death ratio	0.98	1.07	1.08	0.11 short
Match win rate	57.0%	47.0%	48.7%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim78

Positioning40

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY61–39Last 10061%Win rateLLWLWLLWWL

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

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.8

Aggression0.3

Utility4.2

Positioning4.0

Opening Duels0.0

Clutch3.0

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

Plays most like NiKo 72% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 615ms 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

Aim7.8

Positioning4.0

Utility4.2

Mechanics8.3

Opening Duels0.0

Win Impact1.7

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time608ms+10ms

first ⅓ avg 598ms → last ⅓ avg 608ms

Headshot accuracy20.9%−3.1%

first ⅓ avg 23.9% → last ⅓ avg 20.9%

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

0.17Best rating — anubis 13–3

13–2Biggest win — dust2

11Longest win streak

L2Current streak

9–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cacheBest map · 100% over 5infernoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	30	16–14	53%	-0.00
dust2	B	21	11–10	52%	-0.00
nuke	S	16	12–4	75%	0.03
anubis	A	10	6–4	60%	0.02
ancient	S	9	7–2	78%	0.02
inferno	C	5	2–3	40%	0.02
cache	S	5	5–0	100%	0.03
overpass	—	3	1–2	33%	0.01
vertigo	—	1	1–0	100%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

126,654Lifetime kills

0.98K/D

3,619Matches

57.0%Match win rate · Top 5% of Level 9 players

56.3%Headshot % · Top 25% of Level 9 players

19.2%Shot accuracy · Top 10% of Level 9 players

13,751MVPs

7,272Hours (in match)

4,003Bombs planted

1,163Bombs defused

Most-used weapons

AK-4770,752

M4A4 / M4A1-S19,168

P2000 / USP-S8,232

Desert Eagle6,402

AWP5,307

Glock-183,925

MP91,775

UMP-451,467

Tec-91,447

Knife1,414

Lifetime map wins

8,765dust2

4,585vertigo

4,492nuke

2,806inferno

967train

222cbble

116lake

71office

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

Faceit stats

Combat

343Matches

63%Win rate

1.26Avg K/D

83.2ADR

51%Headshot %

Clutches & streaks

35%1v1 clutch win

35%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	41	54%	1.25	17.5
Dust2	23	70%	1.53	20.1
Ancient	18	72%	1.27	17.5
Anubis	17	35%	1.21	15.3
Nuke	16	50%	1.58	16.7
Inferno	11	55%	1.21	17.3
Vertigo	6	83%	1.54	21.5
Overpass	2	50%	1.34	24.5

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.

19.9%Headshot accuracy

37.6%Accuracy (enemy spotted)

37.4%Spray accuracy

87.1%Counter-strafing

10.1°Preaim

615msReaction time

20.2%T opening success

23.4%CT opening success

0.62Enemies flashed / flash

4.3%Flash assists

7.09HE damage / grenade

6.05Flashes / 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.

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 20.2154% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	-0.07	17%	28 Jul →
inferno	7–13	0.08	25%	25 Jul →
mirage	13–10	-0.05	28%	25 Jul →
mirage	3–13	-0.08	27%	17 Jul →
ancient	13–11	0.00	14%	17 Jul →
dust2	11–13	-0.01	17%	11 Jul →
dust2	13–16	-0.02	13%	8 Jul →
mirage	13–10	-0.02	10%	8 Jul →
nuke	13–5	0.04	15%	7 Jul →
mirage	5–13	-0.01	15%	7 Jul →
mirage	13–7	-0.02	12%	6 Jul →
mirage	9–13	0.03	21%	5 Jul →
nuke	13–5	0.08	22%	5 Jul →
dust2	13–4	-0.01	11%	5 Jul →
nuke	13–5	0.02	33%	5 Jul →
anubis	11–13	-0.01	24%	5 Jul →
dust2	7–13	-0.01	21%	4 Jul →
mirage	9–13	0.05	12%	4 Jul →
inferno	5–9	0.01	24%	30 Jun →
mirage	13–5	0.07	24%	29 Jun →
ancient	10–13	0.00	23%	29 Jun →
dust2	12–16	-0.10	15%	24 Jun →
mirage	6–13	-0.03	36%	23 Jun →
mirage	11–13	-0.02	29%	23 Jun →
nuke	13–4	0.06	21%	22 Jun →
inferno	4–13	0.05	17%	22 Jun →
mirage	11–13	0.02	20%	11 Jun →
nuke	10–13	-0.00	17%	11 Jun →
mirage	13–8	0.05	28%	9 Jun →
anubis	7–13	-0.04	13%	9 Jun →
inferno	13–9	-0.04	26%	8 Jun →
nuke	14–16	0.02	19%	8 Jun →
dust2	13–4	0.05	43%	8 Jun →
mirage	16–13	-0.00	33%	8 Jun →
nuke	13–11	-0.02	18%	7 Jun →
mirage	16–14	-0.02	21%	31 May →
ancient	7–13	-0.01	29%	31 May →
mirage	7–13	-0.05	20%	30 May →
dust2	13–7	0.01	26%	30 May →
anubis	13–3	0.17	17%	30 May →
dust2	9–13	0.05	20%	26 May →
anubis	13–5	-0.03	12%	26 May →
cache	13–11	0.05	21%	21 May →
mirage	13–9	0.03	17%	21 May →
anubis	13–6	0.01	22%	21 May →
mirage	13–6	0.01	30%	20 May →
dust2	11–13	-0.02	20%	20 May →
nuke	13–9	0.05	25%	19 May →
nuke	9–13	0.02	17%	17 May →
dust2	14–16	0.01	16%	17 May →
mirage	13–5	0.03	32%	17 May →
overpass	11–13	0.00	17%	11 May →
dust2	4–13	-0.01	18%	11 May →
dust2	13–10	0.00	27%	9 May →
cache	13–8	0.04	20%	9 May →
nuke	13–8	0.00	21%	9 May →
overpass	9–13	-0.03	17%	3 May →
cache	13–5	0.02	31%	3 May →
dust2	9–13	0.01	19%	3 May →
ancient	13–11	0.00	19%	3 May →
dust2	13–2	0.09	24%	2 May →
mirage	11–13	0.03	11%	2 May →
cache	13–4	0.01	18%	2 May →
nuke	13–6	0.00	31%	1 May →
mirage	5–13	-0.04	19%	1 May →
anubis	9–13	0.02	19%	1 May →
inferno	16–14	0.03	19%	29 Apr →
cache	13–9	0.01	40%	29 Apr →
ancient	13–7	0.03	9%	28 Apr →
anubis	5–13	-0.05	21%	26 Apr →
ancient	13–6	0.12	37%	26 Apr →
mirage	16–14	0.02	18%	26 Apr →
dust2	13–8	-0.01	21%	24 Apr →
mirage	8–13	-0.05	25%	24 Apr →
mirage	9–13	-0.08	21%	23 Apr →
nuke	13–9	0.07	24%	23 Apr →
dust2	16–13	-0.04	33%	22 Apr →
nuke	13–10	0.05	34%	22 Apr →
anubis	16–14	0.03	25%	21 Apr →
ancient	13–6	-0.01	24%	21 Apr →
mirage	13–6	-0.03	27%	21 Apr →
dust2	13–8	-0.03	16%	21 Apr →
dust2	14–16	-0.01	25%	19 Apr →
nuke	13–8	0.11	26%	19 Apr →
mirage	13–3	0.02	29%	19 Apr →
ancient	13–10	0.05	18%	19 Apr →
overpass	13–9	0.06	21%	19 Apr →
mirage	13–16	0.05	32%	19 Apr →
dust2	16–14	-0.07	11%	18 Apr →
mirage	13–5	0.01	18%	18 Apr →
vertigo	13–10	-0.07	21%	18 Apr →
ancient	13–3	0.04	29%	18 Apr →
mirage	13–10	0.00	21%	14 Apr →
anubis	13–9	0.03	23%	14 Apr →
dust2	13–4	0.03	29%	13 Apr →
mirage	13–10	0.03	26%	13 Apr →
anubis	16–12	0.04	32%	13 Apr →
nuke	13–3	0.01	14%	12 Apr →
dust2	13–3	0.03	10%	12 Apr →
mirage	8–13	-0.01	31%	12 Apr →