✪ℜ𝖅𝖙𝕬✪ — CS2 Stats

CL76561198059632961[U:1:99367233]Steam profile ↗✓ No bans

1,836Tracked matches67%Win rate2020Tracked since

4,668Hours in CS10Hrs last 2 wks

CSDB Rating7.7 StrongAll-Rounder

Premier CS Rating24,573Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)

CSDB Leaderboard#27802 of 261515 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,573 +2,278 5 Jun – 13 Nov · 44 days played

Faceit ELO: 1,449 +0 12 Sept – 23 Oct · 3 observations

24,695Peak Premier in tracked matches

1,449Highest Faceit ELO seen on CSDB

53Days played since 2026-05-31

Faceit ELO

At peak — 1,449
0 over 30 days · steady
Next: Level 8 at 1,531 — 82 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-09-12
Level 6 first seen 2026-09-12

Premier CS Rating

122 below peak (24,695)
+2,569 over 30 days · improving
+1,351 over 90 days
Next: Red band at 25,000 — 427 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-12
Purple band first seen 2026-09-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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	Pink band median	Red band median	vs Red band
Headshot rate	43.7%	46.9%	49.3%	5.6% short
Shot accuracy	13.0%	13.0%	13.4%	0.4% short
Kill/death ratio	1.05	1.08	1.12	0.07 short
Match win rate	48.1%	46.7%	48.5%	meets

This profile matches the typical Red band player on 1 of 4 comparable metrics.

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

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Performance scores

Aim83

Positioning73

Utility62

0–100 skill scores via Leetify.

Recent form

HOT58–42Last 10058%Win rateWWLWWWWWWL

Last 10 vs previous 10: +20pp win rate · −0.04 avg rating · +0.7pp headshot accuracy · +51ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating -0.02
Avg headshot accuracy 12%
Avg reaction 519ms

Last 10

8–2 · 80% win rate
Avg rating -0.02
Avg headshot accuracy 18%
Avg reaction 581ms

Last 20

14–6 · 70% win rate
Avg rating 0.00
Avg headshot accuracy 18%
Avg reaction 556ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.3

Utility6.2

Positioning7.3

Opening Duels7.1

Clutch5.4

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like jL 96% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning 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

Strengths

CT openings. 73% 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 73% on CT to 53% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3

Positioning7.3

Utility6.2

Mechanics6.1

Opening Duels7.9

Win Impact10.0

Composite 7.7/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time536ms−71ms

first ⅓ avg 607ms → last ⅓ avg 536ms

Headshot accuracy18.0%−1.0%

first ⅓ avg 18.9% → last ⅓ avg 18.0%

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.

Personal bests

0.41Best match rating · 9–0 · inferno, 31 May →

100%Best headshot accuracy · 11–3 · dust2, 26 Jul →

359msFastest reaction time · 13–9 · anubis, 2 Oct →

13–1Biggest win · dust2, 9 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W2Current streak

7–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 72% over 18cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	21–15	58%	0.01
inferno	S	18	13–5	72%	0.02
mirage	B	17	9–8	53%	-0.02
cache	D	9	3–6	33%	0.03
nuke	S	7	5–2	71%	0.03
anubis	A	7	4–3	57%	-0.01
ancient	—	3	2–1	67%	0.00
overpass	—	3	1–2	33%	-0.04

Across the last 100 tracked matches.

Lifetime stats

138,845Lifetime kills

1.05K/D

7,263Matches

48.1%Match win rate · Top 50% of Pink band

43.7%Headshot %

13.0%Shot accuracy

17,940MVPs

2,736Hours (in match)

6,463Bombs planted

1,826Bombs defused

Most-used weapons

AK-4729,304

M4A4 / M4A1-S25,528

AWP19,554

Desert Eagle13,235

P2000 / USP-S9,496

Glock-186,662

SSG 085,731

FAMAS4,035

Galil AR3,967

MAC-103,312

Lifetime map wins

22,732dust2

18,906inferno

2,756vertigo

2,543nuke

1,517cbble

1,227train

149lake

30ar_shoots

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

Faceit stats

Combat

301Matches

56%Win rate

1.17Avg K/D

83.9ADR

44%Headshot %

Clutches & streaks

47%1v1 clutch win

20%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	109	61%	1.25	16.8
Mirage	55	56%	1.11	16.3
Inferno	51	41%	1.01	16.4
Anubis	31	65%	1.32	17.3
Ancient	25	60%	1.18	17.8
Overpass	12	42%	0.86	12.1
Nuke	11	55%	1.20	18.6
Train	5	80%	1.68	15.4

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.

17.3%Headshot accuracy

39.1%Accuracy (enemy spotted)

45.3%Spray accuracy

77.3%Counter-strafing

9.4°Preaim

531msReaction time

53.0%T opening success

73.4%CT opening success

0.65Enemies flashed / flash

7.0%Flash assists

11.57HE damage / grenade

7.23Flashes / match

Recommended for you

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	-0.00	17%	13 Nov →
dust2	13–10	-0.04	11%	13 Nov →
mirage	0–13	-0.03	5%	13 Nov →
dust2	13–11	0.02	16%	12 Nov →
dust2	13–6	-0.07	10%	9 Nov →
dust2	13–1	0.04	38%	9 Nov →
ancient	13–5	-0.03	16%	7 Nov →
inferno	13–10	0.01	10%	7 Nov →
dust2	13–3	0.01	11%	7 Nov →
mirage	7–13	-0.07	50%	7 Nov →
inferno	13–4	0.06	23%	7 Nov →
nuke	13–5	0.11	20%	2 Nov →
anubis	10–13	0.02	11%	16 Oct →
mirage	5–13	-0.08	8%	16 Oct →
dust2	13–7	0.01	19%	13 Oct →
mirage	13–7	0.02	16%	11 Oct →
nuke	13–2	0.01	12%	8 Oct →
cache	13–5	0.02	22%	8 Oct →
nuke	7–13	0.04	23%	6 Oct →
dust2	6–13	0.02	23%	3 Oct →
anubis	13–9	-0.03	14%	2 Oct →
inferno	11–13	-0.06	17%	2 Oct →
cache	11–13	0.01	20%	26 Sept →
mirage	13–3	0.01	12%	26 Sept →
mirage	7–13	-0.08	28%	25 Sept →
cache	11–13	0.03	13%	25 Sept →
dust2	13–5	0.01	22%	24 Sept →
dust2	13–2	0.06	19%	21 Sept →
dust2	13–7	0.03	30%	17 Sept →
ancient	13–10	0.01	14%	13 Sept →
inferno	13–11	0.01	11%	12 Sept →
dust2	9–13	-0.01	10%	12 Sept →
mirage	7–13	-0.04	20%	10 Sept →
dust2	8–13	0.07	16%	5 Sept →
inferno	9–13	-0.03	18%	5 Sept →
dust2	16–13	0.07	12%	5 Sept →
inferno	13–1	0.01	38%	5 Sept →
cache	4–13	-0.01	19%	27 Aug →
mirage	13–8	-0.00	4%	26 Aug →
inferno	1–9	-0.25	9%	26 Aug →
cache	13–9	0.02	17%	26 Aug →
mirage	13–4	0.01	14%	21 Aug →
mirage	13–8	-0.04	21%	20 Aug →
dust2	13–8	0.08	21%	20 Aug →
anubis	13–8	0.01	10%	13 Aug →
inferno	13–10	-0.02	18%	13 Aug →
cache	7–13	0.02	22%	12 Aug →
nuke	13–10	0.08	28%	12 Aug →
mirage	5–1	0.09	19%	12 Aug →
dust2	3–13	-0.02	22%	12 Aug →
mirage	5–13	-0.07	6%	12 Aug →
mirage	6–13	-0.09	12%	8 Aug →
dust2	13–4	0.08	7%	8 Aug →
inferno	10–13	-0.00	18%	8 Aug →
inferno	13–6	0.01	24%	7 Aug →
dust2	13–11	0.07	26%	7 Aug →
cache	13–5	0.22	19%	7 Aug →
ancient	6–13	0.02	14%	6 Aug →
dust2	13–1	0.04	31%	5 Aug →
dust2	13–16	0.01	21%	3 Aug →
dust2	11–3	-0.06	100%	26 Jul →
inferno	13–1	0.05	10%	26 Jul →
dust2	9–13	-0.01	25%	25 Jul →
cache	4–13	0.00	23%	24 Jul →
dust2	13–5	0.08	23%	24 Jul →
mirage	8–13	-0.02	30%	18 Jul →
nuke	13–9	-0.00	18%	17 Jul →
dust2	10–13	0.01	14%	17 Jul →
nuke	5–13	-0.09	9%	12 Jul →
dust2	3–13	-0.06	0%	12 Jul →
dust2	5–13	-0.06	30%	12 Jul →
cache	1–13	-0.06	14%	12 Jul →
inferno	5–13	-0.03	36%	12 Jul →
dust2	7–13	-0.02	12%	12 Jul →
dust2	7–13	-0.07	23%	10 Jul →
mirage	13–9	-0.00	12%	10 Jul →
dust2	13–5	0.01	15%	9 Jul →
dust2	13–7	-0.02	13%	9 Jul →
mirage	13–3	0.02	17%	9 Jul →
dust2	13–6	0.09	30%	5 Jul →
dust2	13–11	-0.04	15%	5 Jul →
anubis	13–7	-0.02	10%	3 Jul →
inferno	13–5	0.05	22%	3 Jul →
anubis	4–13	-0.02	13%	25 Jun →
overpass	1–13	-0.05	45%	22 Jun →
dust2	14–16	0.04	19%	20 Jun →
overpass	13–11	-0.02	13%	20 Jun →
dust2	10–13	0.03	18%	18 Jun →
overpass	6–13	-0.06	18%	14 Jun →
nuke	13–1	0.05	28%	14 Jun →
dust2	6–13	0.02	15%	11 Jun →
dust2	11–13	0.02	21%	10 Jun →
inferno	16–14	0.01	29%	9 Jun →
inferno	13–5	0.03	7%	9 Jun →
anubis	3–13	-0.05	10%	8 Jun →
mirage	13–1	0.06	22%	8 Jun →
inferno	13–6	0.04	26%	5 Jun →
anubis	13–8	0.01	9%	5 Jun →
dust2	13–9	-0.02	10%	5 Jun →
inferno	9–0	0.41	50%	31 May →