Kirka — CS2 Stats

EE76561198168553777[U:1:208288049]Steam profile ↗✓ No bans

890Tracked matches41%Win rate2024Tracked since

580Hours in CS

CSDB Rating3.9 Learning

Ladder ranks via Leetify

Performance scores

Aim47

Positioning40

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWLWTWWWLLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim4.7

Aggression4.5

Utility5.9

Positioning4.0

Opening Duels0.8

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 79% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Counter-strafing. Only 66% 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

Aim4.7

Positioning4.0

Utility5.9

Mechanics3.6

Opening Duels1.0

Win Impact2.1

Composite 3.9/10 (Learning), 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-0.02+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time524ms−62ms

first ⅓ avg 586ms → last ⅓ avg 524ms

Headshot accuracy9.8%+1.1%

first ⅓ avg 8.7% → last ⅓ avg 9.8%

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

0.09Best rating — inferno 13–9

13–0Biggest win — mirage

6Longest win streak

5–9In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 63% over 16dust2Weakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	32	16–16	50%	-0.01
cache	A	19	11–8	58%	-0.03
anubis	A	16	10–6	63%	-0.03
mirage	C	15	6–9	40%	-0.03
dust2	D	11	2–9	18%	-0.04
ancient	—	3	1–2	33%	-0.02
vertigo	—	2	0–2	0%	-0.00
nuke	—	2	1–1	50%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,963Lifetime kills

1.00K/D

1,309Matches

47.3%Match win rate · Top 50% of tracked players

40.1%Headshot %

7.2%Shot accuracy

2,209MVPs

580Hours (in match)

669Bombs planted

276Bombs defused

Most-used weapons

AK-474,948

M4A4 / M4A1-S4,345

AWP1,561

P2000 / USP-S961

AUG928

P90837

SG 553702

Glock-18644

Desert Eagle627

MAC-10627

Lifetime map wins

2,685inferno

1,679vertigo

1,386dust2

1,067nuke

339train

93office

47cbble

37italy

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

Skill profile

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

9.4%Headshot accuracy

30.8%Accuracy (enemy spotted)

33.7%Spray accuracy

66.3%Counter-strafing

9.5°Preaim

515msReaction time

28.5%T opening success

38.2%CT opening success

0.49Enemies flashed / flash

4.0%Flash assists

8.69HE damage / grenade

19.92Flashes / 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.

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 9.3937% — below the 15% mark we flag
Aim Training →
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 0.4931 — below the 0.5 mark we flag
Grenade Lineups →
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 28.4967% — below the 40% mark we flag

Spend your practice time on Dust 2

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–6	-0.04	8%	26 Jun →
inferno	11–13	-0.03	11%	26 Jun →
cache	13–9	-0.02	2%	26 Jun →
vertigo	12–12	-0.02	6%	23 Jun →
cache	13–8	0.05	16%	23 Jun →
inferno	13–9	0.06	11%	14 Jun →
ancient	13–9	0.01	7%	5 Jun →
inferno	10–13	-0.04	5%	31 May →
anubis	4–13	-0.06	12%	31 May →
cache	4–13	0.01	25%	31 May →
anubis	10–13	-0.03	7%	27 May →
dust2	7–13	-0.03	9%	27 May →
cache	13–9	0.01	8%	27 May →
ancient	10–13	-0.04	5%	27 May →
mirage	4–13	-0.06	13%	27 May →
dust2	5–13	-0.03	14%	27 May →
inferno	4–13	-0.02	6%	25 May →
mirage	13–0	0.05	9%	25 May →
dust2	7–13	-0.00	15%	24 May →
dust2	13–3	-0.05	14%	24 May →
inferno	13–9	-0.00	16%	23 May →
vertigo	8–13	0.01	8%	21 May →
anubis	13–2	0.05	10%	21 May →
inferno	13–5	-0.02	8%	21 May →
anubis	11–13	-0.09	3%	20 May →
inferno	13–11	-0.01	6%	20 May →
inferno	11–13	-0.06	10%	19 May →
cache	5–13	-0.03	7%	19 May →
dust2	7–13	-0.08	10%	19 May →
mirage	3–12	-0.10	8%	19 May →
dust2	11–13	-0.06	7%	17 May →
mirage	8–13	-0.03	13%	17 May →
inferno	8–13	-0.03	14%	17 May →
inferno	2–13	0.01	5%	16 May →
cache	4–13	-0.00	12%	16 May →
mirage	11–13	-0.06	18%	16 May →
inferno	6–13	0.06	9%	15 May →
cache	13–7	-0.04	3%	15 May →
inferno	13–8	0.08	7%	14 May →
cache	13–3	-0.02	4%	14 May →
cache	3–13	-0.08	8%	13 May →
mirage	13–11	-0.00	4%	13 May →
inferno	11–13	-0.02	7%	13 May →
cache	13–9	0.01	8%	13 May →
mirage	13–7	-0.03	7%	13 May →
mirage	13–4	0.04	16%	10 May →
cache	13–11	-0.03	8%	10 May →
cache	4–13	-0.02	14%	10 May →
inferno	13–9	0.01	10%	10 May →
mirage	10–13	-0.05	3%	9 May →
inferno	2–13	-0.00	5%	6 May →
cache	8–13	-0.04	9%	6 May →
anubis	5–13	-0.07	8%	5 May →
inferno	13–11	-0.06	5%	5 May →
cache	13–4	-0.05	10%	5 May →
cache	3–13	-0.11	25%	5 May →
inferno	13–4	0.00	11%	5 May →
mirage	11–13	-0.03	15%	4 May →
cache	13–10	-0.03	6%	4 May →
mirage	12–12	-0.07	12%	4 May →
inferno	6–13	-0.07	19%	4 May →
cache	4–13	-0.08	13%	4 May →
anubis	13–10	-0.08	8%	4 May →
inferno	13–9	0.09	6%	3 May →
anubis	3–13	-0.07	4%	3 May →
anubis	13–6	-0.02	5%	29 Apr →
cache	13–5	-0.00	10%	29 Apr →
cache	13–7	-0.04	7%	29 Apr →
anubis	13–1	-0.02	9%	29 Apr →
inferno	13–10	0.00	10%	27 Apr →
inferno	13–7	0.05	6%	27 Apr →
mirage	2–13	-0.04	5%	26 Apr →
anubis	3–13	-0.00	14%	26 Apr →
anubis	13–8	0.01	2%	26 Apr →
inferno	7–13	-0.10	9%	25 Apr →
anubis	13–10	0.01	7%	25 Apr →
nuke	3–13	-0.02	9%	25 Apr →
mirage	6–13	-0.07	5%	25 Apr →
ancient	4–13	-0.05	9%	25 Apr →
inferno	5–13	-0.06	15%	25 Apr →
nuke	13–10	-0.04	9%	25 Apr →
dust2	4–13	-0.06	14%	25 Apr →
anubis	13–8	0.01	13%	25 Apr →
dust2	13–11	-0.08	21%	24 Apr →
mirage	5–0	-0.01	0%	24 Apr →
inferno	2–10	-0.09	0%	24 Apr →
inferno	2–13	-0.07	0%	23 Apr →
inferno	13–6	-0.03	8%	22 Apr →
mirage	13–10	0.02	13%	22 Apr →
inferno	13–10	0.04	12%	9 Apr →
inferno	13–4	0.00	12%	9 Apr →
inferno	8–13	-0.02	3%	8 Apr →
dust2	6–13	-0.01	13%	7 Apr →
inferno	13–8	-0.03	9%	6 Apr →
anubis	13–7	0.01	4%	5 Apr →
inferno	13–7	-0.03	15%	5 Apr →
anubis	13–7	-0.01	11%	4 Apr →
inferno	11–13	-0.05	2%	4 Apr →
dust2	7–13	0.03	16%	4 Apr →
dust2	11–13	-0.09	9%	3 Apr →