Racist Killer — CS2 Stats

CA76561198261352318[U:1:301086590]Steam profile ↗✓ No bans

1,125Tracked matches41%Win rate2020Tracked since

2,448Hours in CS3Hrs last 2 wks

CSDB Rating4.2 Developing

Premier CS Rating15,248Purple band · top ~27.4% of ranked players (population est.)

CSDB Leaderboard#10798 of 16941 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning44

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWLLLLLWWLW

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

Player DNA

Aim5.0

Aggression5.5

Utility4.9

Positioning4.4

Opening Duels1.0

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 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 590ms 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

Aim5.0

Positioning4.4

Utility4.9

Mechanics5.1

Opening Duels1.4

Win Impact2.1

Composite 4.2/10 (Developing), 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-0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.00

Reaction time582ms−58ms

first ⅓ avg 641ms → last ⅓ avg 582ms

Headshot accuracy17.5%−0.8%

first ⅓ avg 18.3% → last ⅓ avg 17.5%

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 — dust2 13–3

13–2Biggest win — mirage

4Longest win streak

4–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 71% over 7cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	0.01
inferno	C	16	6–10	38%	-0.01
dust2	B	16	8–8	50%	0.01
ancient	C	12	5–7	42%	-0.01
nuke	C	8	3–5	38%	-0.02
cache	D	8	2–6	25%	-0.03
anubis	S	7	5–2	71%	-0.01
overpass	D	7	2–5	29%	0.00
train	—	2	2–0	100%	-0.02

Across the last 100 tracked matches.

Lifetime stats

59,157Lifetime kills

0.93K/D

3,420Matches

45.0%Match win rate

39.7%Headshot %

12.6%Shot accuracy · Top 50% of tracked players

7,177MVPs

1,502Hours (in match)

4,671Bombs planted

1,089Bombs defused

Most-used weapons

AK-4714,684

M4A4 / M4A1-S10,055

AWP7,377

P2000 / USP-S3,439

Desert Eagle2,971

Glock-182,703

Galil AR2,127

MAC-102,065

MP91,187

FAMAS1,172

Lifetime map wins

6,953dust2

4,421inferno

1,945nuke

1,460train

801vertigo

391cbble

41office

27italy

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

Faceit stats

Combat

116Matches

39%Win rate

0.91Avg K/D

—ADR

31%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLWL

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.

17.6%Headshot accuracy

30.9%Accuracy (enemy spotted)

29.4%Spray accuracy

73.1%Counter-strafing

10.3°Preaim

590msReaction time

41.4%T opening success

27.0%CT opening success

0.57Enemies flashed / flash

5.3%Flash assists

10.04HE damage / grenade

9.91Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 26.9697% — 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.

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

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–10	0.04	17%	20 Aug →
ancient	4–13	-0.04	19%	20 Aug →
nuke	4–13	0.00	0%	17 Aug →
nuke	10–13	0.01	16%	17 Aug →
ancient	8–13	-0.02	19%	16 Aug →
inferno	10–13	0.00	15%	14 Aug →
dust2	13–4	0.05	29%	14 Aug →
inferno	13–8	-0.01	13%	10 Aug →
ancient	10–13	-0.04	23%	9 Aug →
anubis	13–5	-0.00	15%	9 Aug →
cache	10–13	-0.03	17%	9 Aug →
mirage	4–13	0.05	31%	9 Aug →
dust2	6–13	-0.04	23%	9 Aug →
ancient	6–13	-0.04	10%	6 Aug →
ancient	9–13	-0.03	10%	6 Aug →
nuke	9–13	-0.03	11%	6 Aug →
anubis	13–6	-0.03	15%	6 Aug →
ancient	11–13	-0.00	11%	2 Aug →
mirage	13–5	0.04	21%	24 Jul →
ancient	13–6	0.04	12%	24 Jul →
mirage	13–10	0.03	14%	24 Jul →
dust2	15–15	0.00	30%	24 Jul →
dust2	9–13	-0.05	10%	24 Jul →
anubis	13–10	-0.05	9%	24 Jul →
dust2	11–1	0.03	29%	24 Jul →
cache	16–12	0.00	26%	23 Jul →
inferno	13–6	0.07	35%	23 Jul →
inferno	0–2	-0.00	0%	23 Jul →
inferno	9–13	-0.01	6%	22 Jul →
cache	6–13	-0.04	29%	22 Jul →
mirage	13–6	0.00	24%	22 Jul →
dust2	8–13	0.02	22%	20 Jul →
mirage	13–7	0.08	15%	16 Jul →
ancient	13–6	-0.01	18%	16 Jul →
cache	15–15	-0.02	22%	16 Jul →
inferno	13–6	-0.01	15%	1 Jul →
mirage	13–6	0.04	13%	1 Jul →
mirage	13–2	0.02	16%	24 Jun →
inferno	15–15	-0.02	14%	24 Jun →
nuke	4–13	-0.06	22%	17 Jun →
nuke	13–3	0.05	17%	17 Jun →
mirage	9–13	0.05	23%	17 Jun →
dust2	15–15	-0.01	16%	16 Jun →
ancient	13–3	0.02	20%	16 Jun →
ancient	13–7	0.05	17%	15 Jun →
mirage	5–13	0.07	17%	9 Jun →
dust2	11–13	-0.05	6%	5 Jun →
mirage	3–13	-0.10	22%	5 Jun →
dust2	13–8	0.06	20%	21 May →
mirage	9–13	0.04	31%	21 May →
inferno	13–11	-0.04	16%	17 May →
nuke	13–11	-0.04	16%	17 May →
overpass	13–7	0.06	22%	12 May →
overpass	5–13	-0.03	16%	12 May →
overpass	11–13	-0.03	9%	12 May →
mirage	13–10	0.01	19%	9 May →
inferno	13–16	0.01	22%	9 May →
inferno	13–9	0.09	25%	8 May →
mirage	13–9	0.00	24%	8 May →
dust2	13–5	0.05	21%	8 May →
cache	13–10	0.00	15%	8 May →
cache	9–13	-0.02	22%	8 May →
dust2	9–13	0.03	15%	5 May →
mirage	13–10	0.02	9%	5 May →
overpass	10–13	0.04	29%	4 May →
dust2	13–3	0.16	29%	4 May →
inferno	6–13	-0.06	12%	4 May →
cache	4–13	-0.03	13%	4 May →
cache	4–13	-0.07	11%	3 May →
inferno	7–13	-0.03	31%	27 Apr →
mirage	3–13	-0.04	18%	27 Apr →
inferno	14–16	-0.03	14%	12 Apr →
dust2	3–13	-0.06	17%	12 Apr →
mirage	13–7	0.04	23%	30 Mar →
inferno	10–13	-0.00	16%	30 Mar →
mirage	8–13	0.01	26%	28 Mar →
nuke	13–9	0.01	19%	28 Mar →
anubis	4–13	-0.02	15%	28 Mar →
anubis	10–13	0.03	20%	24 Mar →
overpass	13–11	-0.05	13%	24 Mar →
inferno	7–13	-0.07	16%	24 Mar →
nuke	9–13	-0.07	16%	19 Mar →
ancient	11–13	-0.04	22%	16 Mar →
mirage	8–13	-0.00	24%	16 Mar →
anubis	13–6	0.04	21%	7 Mar →
mirage	5–13	-0.07	22%	7 Mar →
dust2	13–11	0.01	20%	7 Mar →
mirage	9–13	-0.08	14%	6 Mar →
inferno	13–9	0.02	19%	6 Mar →
mirage	7–13	-0.05	16%	6 Mar →
train	13–2	-0.03	14%	25 Feb →
train	13–5	-0.02	19%	25 Feb →
mirage	6–13	0.05	13%	21 Feb →
dust2	13–8	-0.03	18%	21 Feb →
mirage	13–9	-0.05	11%	19 Feb →
dust2	13–7	0.01	15%	19 Feb →
anubis	13–7	-0.06	19%	19 Feb →
overpass	9–13	0.09	21%	19 Feb →
mirage	6–13	0.01	16%	18 Feb →
overpass	3–13	-0.05	30%	18 Feb →