▲ Inhuman Reaction ▲ — CS2 Stats

76561198019629096[U:1:59363368]Steam profile ↗✓ No bans

595Tracked matches46%Win rate2020Tracked since

2,027Hours in CS21Hrs last 2 wks

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating20,867Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)

CSDB Leaderboard#18472 of 55386 tracked

FaceitLevel 8 · 1,569 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median	Level 9 median	vs Level 9
Headshot rate	34.9%	47.0%	48.5%	13.6% short
Shot accuracy	12.9%	12.7%	13.3%	0.3% short
Kill/death ratio	1.34	1.07	1.07	above
Match win rate	44.7%	46.4%	47.0%	2.3% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim77

Positioning64

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateTLWWLWWTLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.7

Aggression9.8

Utility4.8

Positioning6.4

Opening Duels4.8

Clutch2.4

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 device 91% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 →

CSDB Rating breakdown

Aim7.7

Positioning6.4

Utility4.8

Mechanics5.5

Opening Duels4.8

Win Impact3.8

Composite 6.1/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time501ms−69ms

first ⅓ avg 571ms → last ⅓ avg 501ms

Headshot accuracy17.3%+0.6%

first ⅓ avg 16.8% → last ⅓ avg 17.3%

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 13–4

13–1Biggest win — mirage

8Longest win streak

8–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 63% over 24nukeWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	25	14–11	56%	0.01
inferno	A	24	15–9	63%	0.02
mirage	C	17	7–10	41%	-0.01
cache	C	16	7–9	44%	-0.02
nuke	D	8	2–6	25%	-0.03
anubis	C	5	2–3	40%	0.03
overpass	—	3	2–1	67%	0.04
ancient	—	2	2–0	100%	0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,279Lifetime kills

1.34K/D · Top 25% of Level 8 players

3,070Matches

44.7%Match win rate

34.9%Headshot %

12.9%Shot accuracy · Top 50% of Level 8 players

6,949MVPs

1,207Hours (in match)

2,961Bombs planted

718Bombs defused

Most-used weapons

AWP18,216

AK-4712,033

M4A4 / M4A1-S6,805

P904,298

P2000 / USP-S3,353

Glock-182,760

P2502,098

AUG1,980

FAMAS1,967

Desert Eagle1,613

Lifetime map wins

7,460dust2

5,524inferno

1,297nuke

342cbble

317train

251vertigo

80dust

32lake

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

Faceit stats

Combat

122Matches

60%Win rate

1.21Avg K/D

82.0ADR

38%Headshot %

Clutches & streaks

32%1v1 clutch win

12%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	31	52%	1.20	15.8
Inferno	29	62%	1.31	17.2
Mirage	26	65%	1.21	18.5
Anubis	10	70%	1.12	16.2
Ancient	8	75%	1.12	16.9
Nuke	3	67%	1.62	17.3
Overpass	3	67%	0.78	11.3
Cache	3	67%	0.67	10.3

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.

16.9%Headshot accuracy

35.8%Accuracy (enemy spotted)

40.7%Spray accuracy

74.7%Counter-strafing

9.3°Preaim

501msReaction time

46.8%T opening success

51.5%CT opening success

0.41Enemies flashed / flash

5.3%Flash assists

9.42HE damage / grenade

8.06Flashes / 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.

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 0.4083 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	15–15	-0.00	10%	30 Aug →
mirage	3–13	-0.04	9%	30 Aug →
anubis	13–4	0.17	13%	30 Aug →
dust2	13–8	-0.00	26%	28 Aug →
anubis	7–13	-0.03	13%	28 Aug →
mirage	13–1	0.02	6%	27 Aug →
inferno	13–5	-0.01	8%	27 Aug →
dust2	12–12	-0.11	9%	26 Aug →
mirage	9–13	0.03	14%	26 Aug →
inferno	13–9	0.00	24%	26 Aug →
dust2	8–13	-0.02	13%	26 Aug →
mirage	7–13	-0.09	9%	24 Aug →
cache	13–8	-0.02	17%	24 Aug →
dust2	13–4	0.05	17%	24 Aug →
cache	11–13	-0.02	12%	23 Aug →
inferno	6–13	-0.08	17%	23 Aug →
dust2	5–13	-0.05	27%	17 Aug →
inferno	10–13	0.12	26%	17 Aug →
inferno	13–5	0.08	29%	17 Aug →
nuke	9–13	-0.09	0%	16 Aug →
dust2	13–5	-0.02	22%	16 Aug →
dust2	8–13	0.01	24%	16 Aug →
ancient	13–9	0.09	24%	15 Aug →
inferno	13–11	0.05	7%	15 Aug →
mirage	11–13	0.03	19%	14 Aug →
mirage	13–8	0.01	24%	14 Aug →
inferno	1–13	-0.02	28%	14 Aug →
cache	8–13	0.05	17%	14 Aug →
inferno	13–11	0.04	24%	1 Aug →
dust2	11–13	0.05	22%	1 Aug →
dust2	13–3	0.06	31%	1 Aug →
dust2	13–1	0.03	15%	30 Jul →
inferno	13–2	0.10	15%	30 Jul →
dust2	13–4	0.09	15%	30 Jul →
inferno	13–4	-0.02	24%	30 Jul →
dust2	5–13	-0.06	21%	29 Jul →
mirage	13–7	0.15	12%	29 Jul →
cache	13–7	-0.01	12%	27 Jul →
mirage	7–13	0.01	23%	27 Jul →
inferno	8–13	-0.01	20%	27 Jul →
nuke	11–13	-0.02	12%	26 Jul →
cache	7–13	-0.09	32%	26 Jul →
anubis	12–12	0.00	16%	25 Jul →
cache	5–13	-0.10	9%	25 Jul →
cache	7–13	-0.03	22%	25 Jul →
dust2	13–7	0.06	15%	17 Jul →
inferno	13–11	0.04	26%	17 Jul →
cache	5–13	-0.03	20%	13 Jul →
dust2	8–13	-0.06	12%	13 Jul →
cache	8–13	-0.04	17%	11 Jul →
mirage	13–6	-0.05	19%	11 Jul →
nuke	13–9	0.02	28%	29 Jun →
mirage	5–13	-0.01	19%	29 Jun →
dust2	5–13	-0.02	15%	28 Jun →
dust2	13–5	0.05	12%	28 Jun →
mirage	7–13	-0.01	12%	28 Jun →
inferno	10–13	0.03	17%	28 Jun →
nuke	7–13	-0.05	24%	27 Jun →
dust2	13–7	0.01	10%	15 Jun →
inferno	15–15	0.01	13%	15 Jun →
inferno	7–13	-0.04	13%	13 Jun →
anubis	13–5	0.00	10%	13 Jun →
ancient	13–7	0.03	13%	13 Jun →
dust2	15–15	0.03	17%	7 Jun →
cache	4–13	-0.05	15%	6 Jun →
nuke	8–13	-0.06	13%	6 Jun →
inferno	13–6	-0.02	18%	6 Jun →
inferno	5–13	0.02	21%	6 Jun →
dust2	13–10	-0.01	29%	3 Jun →
inferno	13–1	0.02	11%	2 Jun →
cache	13–10	-0.05	20%	23 May →
cache	13–9	0.01	18%	22 May →
mirage	13–7	-0.04	24%	22 May →
inferno	13–9	0.04	13%	17 May →
dust2	13–3	0.08	18%	17 May →
inferno	13–9	0.05	21%	16 May →
overpass	11–13	-0.05	20%	16 May →
mirage	6–13	-0.06	15%	16 May →
dust2	13–7	0.04	19%	15 May →
cache	5–13	0.04	16%	15 May →
overpass	13–11	0.05	17%	14 May →
inferno	13–11	0.00	17%	14 May →
mirage	13–6	0.08	17%	14 May →
nuke	12–12	0.02	20%	14 May →
mirage	4–13	-0.08	15%	14 May →
dust2	13–2	0.11	17%	14 May →
nuke	13–11	0.01	8%	12 May →
mirage	13–10	-0.01	7%	12 May →
nuke	7–13	-0.06	15%	10 May →
anubis	8–13	-0.02	14%	10 May →
dust2	12–16	0.01	24%	10 May →
mirage	10–13	-0.06	8%	8 May →
overpass	16–13	0.11	16%	7 May →
inferno	13–11	0.03	18%	7 May →
dust2	9–13	-0.02	32%	7 May →
dust2	13–11	0.00	9%	6 May →
cache	13–10	0.01	13%	5 May →
cache	13–9	0.01	24%	5 May →
cache	13–10	0.03	9%	5 May →
inferno	13–5	0.01	10%	4 May →