Kirk — CS2 Stats

US76561198892900113[U:1:932634385]Steam profile ↗

2,016Tracked matches48%Win rate2020Tracked since

1,701Hours in CS19Hrs last 2 wks

CSDB Rating6.1 SolidHybrid Rifler

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=928), 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 4 median	Level 5 median	vs Level 5
Headshot rate	50.6%	42.5%	44.2%	above
Shot accuracy	10.0%	10.9%	11.2%	1.3% short
Kill/death ratio	0.91	0.99	1.04	0.13 short
Match win rate	43.9%	44.2%	45.3%	1.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.

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Performance scores

Aim86

Positioning43

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY41–47–12Last 10041%Win rateWWLLWWLLWL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim8.6

Aggression5.6

Utility5.0

Positioning4.3

Opening Duels0.9

Clutch6.0

Sharp aimerExcellent counter-strafingLimited utility dependence

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 89% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 43 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. 586ms 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

Aim8.6

Positioning4.3

Utility5.0

Mechanics9.1

Opening Duels0.9

Win Impact4.4

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time592ms−49ms

first ⅓ avg 641ms → last ⅓ avg 592ms

Headshot accuracy20.2%+1.0%

first ⅓ avg 19.3% → last ⅓ avg 20.2%

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

0.15Best rating — dust2 11–13

13–1Biggest win — cache

4Longest win streak

W2Current streak

5–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 55% over 20cacheWeakest map · 27% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	32	14–18	44%	-0.01
cache	D	22	6–16	27%	-0.03
inferno	A	20	11–9	55%	0.01
ancient	C	15	6–9	40%	-0.01
mirage	D	10	3–7	30%	-0.02
anubis	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Lifetime stats

42,819Lifetime kills

0.91K/D

2,437Matches

43.9%Match win rate

50.6%Headshot % · Top 25% of Level 4 players

10.0%Shot accuracy

3,602MVPs

1,222Hours (in match)

2,822Bombs planted

428Bombs defused

Most-used weapons

AK-4712,414

M4A4 / M4A1-S11,363

AWP4,492

P2000 / USP-S3,388

Glock-181,988

Desert Eagle1,846

MP71,795

SSG 081,679

FAMAS797

Galil AR743

Lifetime map wins

5,876inferno

3,266dust2

476nuke

306train

32vertigo

6office

4safehouse

3lake

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

Faceit stats

Combat

41Matches

54%Win rate

1.03Avg K/D

74.3ADR

39%Headshot %

Clutches & streaks

50%1v1 clutch win

33%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	2	100%	1.04	15.5
Mirage	1	0%	0.58	7.0

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.

21.2%Headshot accuracy

35.6%Accuracy (enemy spotted)

39.7%Spray accuracy

91.0%Counter-strafing

8.1°Preaim

586msReaction time

35.1%T opening success

32.2%CT opening success

0.69Enemies flashed / flash

7.3%Flash assists

9.15HE damage / grenade

4.20Flashes / 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 35.1433% — below the 40% mark we flag

Spend your practice time on Cache

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

27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	16–13	-0.04	20%	27 Aug →
dust2	13–9	0.03	42%	25 Aug →
ancient	5–13	-0.02	10%	24 Aug →
dust2	4–13	-0.06	18%	22 Aug →
inferno	13–11	-0.01	14%	22 Aug →
ancient	13–10	0.04	19%	20 Aug →
cache	10–13	-0.07	7%	19 Aug →
dust2	5–13	-0.04	30%	18 Aug →
ancient	13–5	-0.01	14%	18 Aug →
ancient	5–13	0.03	21%	17 Aug →
mirage	3–13	-0.05	17%	17 Aug →
dust2	11–13	0.15	26%	14 Aug →
inferno	13–8	-0.02	14%	14 Aug →
mirage	13–6	-0.03	32%	13 Aug →
mirage	5–13	-0.03	11%	9 Aug →
dust2	6–0	0.01	22%	9 Aug →
cache	12–12	-0.00	31%	9 Aug →
dust2	13–7	0.06	35%	9 Aug →
cache	11–13	-0.02	15%	9 Aug →
dust2	13–8	-0.01	43%	8 Aug →
cache	13–10	-0.04	7%	8 Aug →
inferno	13–10	0.05	11%	7 Aug →
mirage	2–13	-0.04	15%	7 Aug →
dust2	8–13	0.05	20%	7 Aug →
dust2	14–16	-0.07	21%	7 Aug →
cache	0–3	-0.05	0%	4 Aug →
cache	13–1	0.04	25%	4 Aug →
dust2	9–13	-0.02	23%	4 Aug →
mirage	8–13	-0.09	33%	3 Aug →
inferno	13–5	0.04	22%	2 Aug →
inferno	6–13	0.01	27%	2 Aug →
dust2	3–13	-0.03	12%	2 Aug →
ancient	6–13	-0.14	11%	2 Aug →
ancient	12–12	0.02	17%	2 Aug →
inferno	4–13	0.05	9%	31 Jul →
dust2	13–8	-0.05	28%	30 Jul →
dust2	13–8	-0.03	24%	30 Jul →
inferno	11–13	0.03	21%	30 Jul →
cache	14–16	0.05	21%	29 Jul →
inferno	10–13	-0.00	6%	28 Jul →
ancient	13–11	0.01	27%	27 Jul →
dust2	13–3	0.06	50%	27 Jul →
dust2	4–7	-0.02	21%	26 Jul →
ancient	4–13	-0.05	40%	26 Jul →
mirage	12–12	-0.02	33%	24 Jul →
ancient	15–15	0.05	10%	24 Jul →
dust2	13–7	0.02	23%	23 Jul →
dust2	13–5	0.05	26%	18 Jul →
cache	12–12	-0.06	13%	17 Jul →
ancient	13–5	-0.01	7%	16 Jul →
dust2	2–13	-0.05	24%	16 Jul →
cache	12–12	-0.01	23%	12 Jul →
dust2	7–13	0.12	21%	11 Jul →
inferno	13–7	0.04	28%	10 Jul →
ancient	9–13	-0.05	15%	9 Jul →
cache	7–13	-0.08	25%	8 Jul →
mirage	6–13	0.06	26%	5 Jul →
inferno	12–12	-0.01	13%	5 Jul →
cache	9–13	-0.09	33%	5 Jul →
inferno	13–10	-0.04	24%	5 Jul →
mirage	13–8	0.04	21%	4 Jul →
dust2	13–10	0.03	19%	3 Jul →
cache	9–13	-0.05	22%	3 Jul →
inferno	13–2	0.11	39%	2 Jul →
inferno	13–3	-0.05	23%	2 Jul →
cache	10–13	0.03	24%	28 Jun →
dust2	9–13	-0.02	27%	26 Jun →
dust2	7–13	-0.07	13%	26 Jun →
cache	12–12	-0.05	4%	26 Jun →
inferno	8–13	-0.01	18%	25 Jun →
inferno	12–12	-0.05	20%	22 Jun →
inferno	13–3	0.02	12%	21 Jun →
dust2	2–2	-0.12	100%	21 Jun →
cache	5–13	-0.07	0%	20 Jun →
ancient	12–12	-0.02	23%	20 Jun →
inferno	6–13	-0.04	17%	19 Jun →
inferno	8–13	-0.00	21%	18 Jun →
dust2	10–13	-0.00	32%	18 Jun →
mirage	4–13	-0.12	7%	17 Jun →
dust2	1–13	-0.11	0%	14 Jun →
dust2	13–8	0.04	23%	14 Jun →
dust2	8–13	-0.08	22%	14 Jun →
cache	12–12	0.01	16%	13 Jun →
dust2	13–8	-0.04	8%	13 Jun →
dust2	7–13	0.02	26%	9 Jun →
ancient	13–9	-0.00	35%	7 Jun →
cache	7–13	-0.04	5%	6 Jun →
cache	13–10	-0.06	13%	6 Jun →
cache	12–12	-0.04	18%	6 Jun →
ancient	13–8	-0.06	14%	6 Jun →
cache	13–11	0.01	24%	3 Jun →
dust2	13–8	0.00	19%	2 Jun →
cache	13–10	0.05	25%	31 May →
ancient	10–13	0.01	9%	31 May →
cache	13–11	-0.03	21%	31 May →
dust2	7–13	-0.01	20%	25 May →
inferno	13–4	0.05	8%	24 May →
anubis	9–2	-0.06	11%	24 May →
mirage	13–11	0.07	25%	24 May →
dust2	13–4	0.03	28%	21 May →