🕂 — CS2 Stats

SH76561199259680049[U:1:1299414321]Steam profile ↗✓ No bans

693Tracked matches72%Win rate2022Tracked since

1,134Hours in CS7Hrs last 2 wks

CSDB Rating8.1 StrongAll-Rounder

Premier CS Rating20,515Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)

CSDB Leaderboard#77278 of 261530 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). 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: 20,515 +5,233 28 Jun – 12 Nov · 24 days played

20,515Peak Premier in tracked matches

26Days played since 2026-06-28

Premier CS Rating

At peak — 20,515
+3,518 over 30 days · improving
+5,515 over 90 days
Next: Red band at 25,000 — 4,485 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-10-30
Blue band first seen 2026-10-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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	52.9%	46.9%	49.3%	above
Shot accuracy	14.5%	13.0%	13.4%	above
Kill/death ratio	1.24	1.08	1.12	above
Match win rate	41.6%	46.7%	48.5%	6.9% short

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Match win 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

Aim92

Positioning67

Utility47

0–100 skill scores via Leetify.

Recent form

HOT62–35–3Last 10062%Win rateWWWWLWWTWL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +0.6pp headshot accuracy · −102ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.08
Avg headshot accuracy 32%
Avg reaction 583ms

Last 10

7–2–1 · 70% win rate
Avg rating 0.06
Avg headshot accuracy 30%
Avg reaction 552ms

Last 20

14–5–1 · 70% win rate
Avg rating 0.03
Avg headshot accuracy 30%
Avg reaction 603ms

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.

Aim9.2

Utility4.7

Positioning6.7

Opening Duels6.9

Sharp aimer

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 s1mple 91% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution.

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 92 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 72% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 584ms 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

Aim9.2

Positioning6.7

Utility4.7

Mechanics8.0

Opening Duels9.0

Win Impact10.0

Composite 8.1/10 (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 rating0.03−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time578ms−47ms

first ⅓ avg 625ms → last ⅓ avg 578ms

Headshot accuracy29.7%+0.7%

first ⅓ avg 29.0% → last ⅓ avg 29.7%

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

0.27Best match rating · 6–13 · dust2, 6 Jul →

64%Best headshot accuracy · 13–9 · dust2, 21 Oct →

406msFastest reaction time · 13–6 · mirage, 23 Aug →

13–1Biggest win · inferno, 28 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak

W4Current streak

6–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 78% over 9cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	35	24–11	69%	0.03
dust2	A	23	14–9	61%	0.06
inferno	B	17	9–8	53%	0.02
anubis	S	9	7–2	78%	0.05
ancient	B	6	3–3	50%	0.01
cache	D	6	2–4	33%	-0.02
nuke	—	4	3–1	75%	0.05

Across the last 100 tracked matches.

Lifetime stats

39,706Lifetime kills

1.24K/D · Top 25% of Pink band

1,591Matches

41.6%Match win rate

52.9%Headshot % · Top 25% of Pink band

14.5%Shot accuracy · Top 50% of Pink band

4,411MVPs

715Hours (in match)

795Bombs planted

398Bombs defused

Most-used weapons

AK-4716,061

AWP7,004

M4A4 / M4A1-S5,137

Desert Eagle3,285

P2000 / USP-S1,597

SSG 081,426

Glock-181,166

Galil AR611

MP9588

FAMAS471

Lifetime map wins

3,261inferno

2,433dust2

680vertigo

489nuke

146train

9lake

5cbble

1ar_shoots

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.

30.1%Headshot accuracy

40.9%Accuracy (enemy spotted)

37.0%Spray accuracy

86.0%Counter-strafing

8.6°Preaim

584msReaction time

72.4%T opening success

61.9%CT opening success

0.50Enemies flashed / flash

7.2%Flash assists

8.91HE damage / grenade

12.73Flashes / 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 0.4959 — below the 0.5 mark we flag
Grenade Lineups →

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 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.05	30%	12 Nov →
anubis	13–9	0.14	38%	12 Nov →
dust2	13–10	0.01	32%	12 Nov →
dust2	13–7	0.05	29%	12 Nov →
dust2	2–13	0.15	33%	12 Nov →
ancient	13–6	0.01	41%	4 Nov →
mirage	13–7	0.08	17%	4 Nov →
dust2	15–15	-0.02	38%	4 Nov →
ancient	13–7	0.06	25%	4 Nov →
inferno	8–13	0.01	24%	28 Oct →
mirage	13–3	-0.01	28%	28 Oct →
mirage	10–13	0.05	36%	28 Oct →
inferno	13–1	0.04	34%	28 Oct →
dust2	11–13	0.01	31%	21 Oct →
dust2	13–9	0.02	64%	21 Oct →
mirage	13–9	-0.01	23%	21 Oct →
cache	8–13	-0.08	18%	21 Oct →
nuke	13–11	0.01	21%	21 Oct →
nuke	13–6	0.05	14%	21 Oct →
mirage	13–6	0.02	30%	21 Oct →
cache	14–16	-0.05	14%	21 Oct →
ancient	5–13	-0.07	13%	21 Oct →
dust2	13–4	-0.02	38%	20 Oct →
ancient	10–13	-0.02	38%	20 Oct →
mirage	13–1	0.04	33%	20 Oct →
inferno	13–10	0.05	35%	20 Oct →
inferno	13–11	0.11	30%	20 Oct →
dust2	13–3	0.05	41%	20 Oct →
anubis	13–5	0.01	26%	20 Oct →
dust2	13–9	0.04	33%	20 Oct →
mirage	13–9	0.03	23%	18 Oct →
dust2	11–13	0.13	27%	18 Oct →
ancient	5–13	-0.01	26%	18 Oct →
anubis	16–14	0.02	16%	18 Oct →
inferno	13–11	-0.02	30%	17 Oct →
anubis	13–9	-0.01	31%	17 Oct →
mirage	9–13	0.03	40%	17 Oct →
inferno	13–11	0.02	26%	17 Oct →
cache	13–10	0.07	27%	17 Oct →
inferno	13–16	0.02	23%	13 Oct →
mirage	7–13	0.04	28%	13 Oct →
inferno	13–7	-0.02	14%	13 Oct →
cache	16–13	0.04	13%	13 Oct →
inferno	13–4	0.05	18%	13 Oct →
inferno	10–13	0.10	33%	13 Oct →
ancient	13–8	0.11	37%	13 Oct →
inferno	3–13	-0.03	5%	10 Oct →
anubis	3–13	-0.02	4%	10 Oct →
dust2	13–9	0.01	12%	10 Oct →
mirage	13–8	0.05	36%	10 Oct →
nuke	4–13	0.02	20%	10 Oct →
mirage	13–9	0.01	14%	10 Oct →
inferno	0–13	-0.06	0%	7 Oct →
mirage	5–1	-0.05	0%	7 Oct →
mirage	11–13	0.04	22%	7 Oct →
inferno	13–10	0.03	21%	7 Oct →
mirage	13–7	0.01	20%	7 Oct →
dust2	10–13	0.01	23%	7 Oct →
mirage	13–10	0.09	33%	5 Oct →
dust2	13–7	0.06	25%	16 Sept →
mirage	5–13	0.01	31%	16 Sept →
dust2	12–12	0.07	34%	16 Sept →
dust2	8–13	0.06	31%	9 Sept →
mirage	0–13	-0.03	29%	9 Sept →
inferno	13–4	-0.02	27%	9 Sept →
mirage	13–7	0.05	30%	9 Sept →
mirage	13–7	-0.03	28%	3 Sept →
dust2	13–4	0.18	44%	3 Sept →
mirage	13–3	0.02	43%	3 Sept →
inferno	9–13	0.04	13%	31 Aug →
dust2	15–15	-0.00	35%	23 Aug →
mirage	13–6	0.01	18%	23 Aug →
anubis	6–13	-0.00	22%	12 Aug →
mirage	13–7	-0.02	21%	12 Aug →
dust2	16–14	-0.00	33%	9 Aug →
dust2	13–10	0.16	25%	6 Aug →
mirage	12–16	0.07	24%	6 Aug →
anubis	13–4	0.10	39%	6 Aug →
mirage	13–7	0.07	25%	6 Aug →
mirage	13–7	-0.01	50%	3 Aug →
anubis	13–7	0.01	16%	27 Jul →
nuke	13–4	0.11	40%	27 Jul →
anubis	13–2	0.22	39%	27 Jul →
mirage	13–3	0.13	27%	27 Jul →
mirage	13–9	-0.02	24%	27 Jul →
dust2	13–2	0.09	55%	27 Jul →
mirage	13–5	0.06	30%	27 Jul →
mirage	11–13	0.09	19%	27 Jul →
mirage	13–16	0.03	20%	21 Jul →
mirage	13–4	0.08	44%	21 Jul →
mirage	11–13	-0.02	21%	21 Jul →
inferno	8–13	-0.01	14%	13 Jul →
cache	6–13	-0.03	25%	11 Jul →
cache	7–13	-0.05	27%	6 Jul →
dust2	6–13	0.27	13%	6 Jul →
mirage	11–13	-0.07	29%	6 Jul →
dust2	13–8	0.00	19%	6 Jul →
inferno	7–13	0.02	26%	28 Jun →
dust2	13–2	0.06	47%	28 Jun →
mirage	13–3	0.04	27%	28 Jun →