Epic — CS2 Stats

76561198041799511[U:1:81533783]Steam profile ↗✓ No bans

1,427Tracked matches53%Win rate2020Tracked since

6,621Hours in CS28Hrs last 2 wks

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating20,530Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)

CSDB Leaderboard#13720 of 37491 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

20,530Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 20,530
Next: Red band at 25,000 — 4,470 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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	49.4%	47.0%	48.5%	meets
Shot accuracy	16.0%	12.7%	13.3%	above
Kill/death ratio	1.10	1.07	1.07	above
Match win rate	42.4%	46.4%	47.0%	4.6% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win 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

Aim87

Positioning66

Utility61

0–100 skill scores via Leetify.

Recent form

HOT52–45–3Last 10052%Win rateWWWLLWWLWW

Last 10 vs previous 10: +40pp win rate · +0.06 avg rating

Player DNA

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

Aim8.7

Aggression8.3

Utility6.1

Positioning6.6

Opening Duels5.0

Clutch3.0

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

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 iM 96% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: higher opening-fight frequency.

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 87 — the mechanical foundation is a clear strength.

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 627ms 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

Aim8.7

Positioning6.6

Utility6.1

Mechanics8.6

Opening Duels5.0

Win Impact6.1

Composite 7.4/10 (Strong), 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 0.00 → last ⅓ avg 0.01

Reaction time629ms−26ms

first ⅓ avg 655ms → last ⅓ avg 629ms

Headshot accuracy25.1%−6.1%

first ⅓ avg 31.2% → last ⅓ avg 25.1%

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

0.12Best rating — dust2 13–7

13–0Biggest win — mirage

6Longest win streak

W3Current streak

10–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 62% over 13ancientWeakest map · 50% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	21–15	58%	0.01
cache	B	25	13–12	52%	0.02
mirage	A	13	8–5	62%	-0.00
inferno	A	11	6–5	55%	0.03
ancient	B	6	3–3	50%	0.01
anubis	—	4	0–4	0%	-0.04
vertigo	—	3	0–3	0%	-0.03
train	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

219,799Lifetime kills

1.10K/D · Top 50% of Level 8 players

8,383Matches

42.4%Match win rate

49.4%Headshot % · Top 50% of Level 8 players

16.0%Shot accuracy · Top 25% of Level 8 players

23,272MVPs

5,041Hours (in match)

8,594Bombs planted

2,569Bombs defused

Most-used weapons

AK-4778,989

AWP40,644

M4A4 / M4A1-S33,000

Desert Eagle16,198

P2000 / USP-S13,645

Glock-186,329

SSG 084,906

P2503,518

FAMAS2,855

Galil AR2,606

Lifetime map wins

35,009dust2

9,701inferno

2,178cbble

1,882train

1,545nuke

821vertigo

78office

73lake

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

Faceit stats

Combat

1,627Matches

50%Win rate

1.19Avg K/D

84.1ADR

43%Headshot %

Clutches & streaks

35%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	133	48%	1.25	17.6
Dust2	100	50%	1.34	18.9
Inferno	69	49%	1.33	16.8
Anubis	49	47%	1.21	17.1
Ancient	43	42%	1.10	16.7
Vertigo	33	45%	1.34	17.3
Nuke	14	57%	1.01	14.8
Overpass	7	57%	1.09	16.0

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.

24.9%Headshot accuracy

38.1%Accuracy (enemy spotted)

40.7%Spray accuracy

88.5%Counter-strafing

8.5°Preaim

627msReaction time

33.5%T opening success

66.2%CT opening success

0.70Enemies flashed / flash

7.4%Flash assists

10.24HE damage / grenade

11.06Flashes / 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.

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 33.5443% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–4	0.07	15%	29 Aug →
cache	13–8	0.05	18%	29 Aug →
ancient	13–5	0.05	17%	29 Aug →
vertigo	7–13	-0.01	20%	29 Aug →
cache	12–16	-0.01	24%	29 Aug →
inferno	13–4	0.07	20%	28 Aug →
mirage	13–7	0.07	28%	28 Aug →
dust2	14–16	0.04	26%	28 Aug →
mirage	13–8	-0.02	27%	26 Aug →
mirage	13–0	0.01	31%	26 Aug →
dust2	9–13	-0.01	27%	26 Aug →
mirage	1–13	-0.09	13%	25 Aug →
anubis	5–13	-0.03	11%	25 Aug →
dust2	13–11	-0.03	15%	25 Aug →
dust2	0–13	-0.06	24%	19 Aug →
dust2	7–13	0.04	20%	19 Aug →
cache	9–13	-0.03	32%	19 Aug →
dust2	7–13	-0.06	19%	19 Aug →
cache	13–10	-0.02	22%	18 Aug →
dust2	13–9	0.07	32%	18 Aug →
anubis	3–13	-0.03	19%	18 Aug →
cache	6–13	-0.03	22%	18 Aug →
mirage	13–7	0.01	45%	18 Aug →
dust2	13–11	0.05	31%	16 Aug →
dust2	13–7	0.04	25%	16 Aug →
inferno	7–1	0.07	57%	16 Aug →
cache	13–3	0.06	27%	16 Aug →
mirage	11–13	0.03	21%	16 Aug →
mirage	13–9	0.01	33%	15 Aug →
cache	9–13	-0.01	35%	15 Aug →
inferno	0–13	-0.06	23%	14 Aug →
dust2	7–13	0.00	30%	14 Aug →
anubis	6–13	-0.00	19%	14 Aug →
train	13–10	0.00	33%	13 Aug →
train	5–13	-0.03	19%	13 Aug →
dust2	13–4	0.01	21%	12 Aug →
mirage	13–8	0.05	21%	12 Aug →
cache	4–13	0.12	25%	11 Aug →
dust2	13–7	0.02	32%	11 Aug →
dust2	12–12	0.05	43%	11 Aug →
dust2	8–13	-0.02	33%	11 Aug →
dust2	13–1	-0.04	27%	10 Aug →
cache	13–5	0.00	46%	10 Aug →
dust2	13–8	0.06	26%	10 Aug →
dust2	11–13	0.02	27%	10 Aug →
dust2	13–10	-0.03	26%	10 Aug →
dust2	13–8	-0.01	31%	10 Aug →
inferno	7–13	0.03	31%	5 Aug →
dust2	13–5	0.10	40%	5 Aug →
cache	13–9	0.03	33%	5 Aug →
dust2	13–9	0.05	49%	5 Aug →
cache	13–5	0.06	40%	3 Aug →
cache	13–8	-0.00	35%	3 Aug →
dust2	13–4	-0.03	47%	3 Aug →
dust2	5–13	-0.06	33%	3 Aug →
dust2	13–4	0.06	33%	28 Jul →
dust2	8–13	0.10	44%	28 Jul →
cache	13–10	0.00	23%	6 Jul →
cache	13–2	0.02	12%	6 Jul →
cache	8–13	0.05	35%	6 Jul →
cache	8–13	-0.04	42%	5 Jul →
dust2	7–13	0.01	43%	5 Jul →
cache	12–12	0.01	37%	3 Jul →
cache	13–11	-0.01	26%	3 Jul →
cache	13–9	0.07	27%	3 Jul →
dust2	13–5	-0.01	44%	3 Jul →
ancient	3–13	-0.04	54%	3 Jul →
ancient	8–13	-0.01	21%	3 Jul →
inferno	13–11	0.01	40%	20 Jun →
cache	13–9	0.04	30%	20 Jun →
dust2	13–6	-0.00	24%	20 Jun →
dust2	7–13	-0.04	28%	8 Jun →
vertigo	9–13	-0.06	34%	8 Jun →
cache	5–13	-0.02	22%	8 Jun →
cache	7–13	0.01	22%	8 Jun →
inferno	5–13	0.05	41%	7 Jun →
dust2	13–7	0.12	35%	7 Jun →
dust2	13–11	0.03	34%	7 Jun →
mirage	13–11	-0.00	26%	7 Jun →
anubis	0–13	-0.08	0%	7 Jun →
inferno	16–14	0.02	26%	6 Jun →
dust2	5–13	-0.02	37%	3 Jun →
vertigo	9–13	-0.03	25%	3 Jun →
dust2	13–3	0.07	24%	3 Jun →
dust2	13–4	-0.01	64%	3 Jun →
inferno	13–6	0.04	28%	31 May →
mirage	0–13	-0.07	100%	31 May →
inferno	5–13	-0.02	28%	26 May →
ancient	9–13	-0.04	16%	26 May →
mirage	16–14	0.00	21%	24 May →
mirage	5–13	-0.04	11%	14 May →
dust2	6–13	-0.07	35%	12 May →
inferno	13–1	0.12	53%	4 May →
ancient	13–11	0.01	24%	4 May →
cache	12–12	0.01	41%	4 May →
cache	13–11	0.00	20%	4 May →
cache	3–13	0.03	44%	4 May →
ancient	13–5	0.08	35%	2 May →
mirage	10–13	-0.01	16%	22 Apr →
inferno	9–13	-0.06	24%	22 Apr →