TheSlayerkills — CS2 Stats

76561198286915848[U:1:326650120]✓ No bans

737Tracked matches45%Win rate2020Tracked since

962Hours in CS5Hrs last 2 wks

CSDB Rating5.0 Developing

Premier CS Rating20,352Pink band · top ~8.1% of ranked players (population est.)

CSDB Leaderboard#8720 of 21281 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning54

Utility45

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateLLLLWLLWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.9

Aggression7.3

Utility4.5

Positioning5.4

Opening Duels2.9

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 b1t 87% playstyle similarity

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

Where you differ: lower utility contribution; 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. 570ms 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

Aim5.9

Positioning5.4

Utility4.5

Mechanics4.9

Opening Duels2.9

Win Impact3.3

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time569ms−25ms

first ⅓ avg 594ms → last ⅓ avg 569ms

Headshot accuracy10.9%+0.2%

first ⅓ avg 10.7% → last ⅓ avg 10.9%

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

0.10Best rating — nuke 13–6

13–1Biggest win — anubis

5Longest win streak

L4Current streak

7–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 63% over 19mirageWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	27	13–14	48%	-0.00
nuke	A	22	12–10	55%	-0.00
anubis	A	19	12–7	63%	-0.00
cache	A	9	5–4	56%	-0.02
mirage	D	7	1–6	14%	-0.04
ancient	D	7	2–5	29%	-0.02
dust2	A	5	3–2	60%	-0.04
overpass	—	3	2–1	67%	-0.01
office	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,001Lifetime kills

0.99K/D

1,321Matches

50.0%Match win rate · Top 25% of Pink band

30.1%Headshot %

11.0%Shot accuracy

2,900MVPs

513Hours (in match)

1,172Bombs planted

249Bombs defused

Most-used weapons

M4A4 / M4A1-S3,938

AK-473,865

AWP2,565

P901,420

P2000 / USP-S1,025

MP9817

MAC-10790

AUG767

MP7716

Glock-18711

Lifetime map wins

2,566inferno

1,685nuke

792train

724vertigo

634office

404dust2

77lake

17cbble

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.

11.3%Headshot accuracy

36.7%Accuracy (enemy spotted)

40.9%Spray accuracy

72.0%Counter-strafing

11.0°Preaim

570msReaction time

42.4%T opening success

41.1%CT opening success

0.53Enemies flashed / flash

2.5%Flash assists

10.88HE damage / grenade

2.59Flashes / 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 11.277% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.5851 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

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