𝓚𝔂𝓻𝓪 ♥ — CS2 Stats

76561199236885396[U:1:1276619668]Steam profile ↗✓ No bans

1,105Tracked matches39%Win rate2022Tracked since

1,812Hours in CS42Hrs last 2 wks

CSDB Rating2.7 LearningPositional Player

Premier CS Rating6,294Light Blue band · top ~72.6% of ranked players (population est.)

CSDB Leaderboard#192839 of 252487 tracked

WingmanGold Nova II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 6,294 → 6,294

+43Tracked matches · now 1,105

−12.4ppWin rate · 51.7% → 39.3%

Rating over time

Premier CS Rating: 6,294 -198 10 Sept – 5 Oct · 6 days played

7,004Peak Premier in tracked matches

23Days played since 2026-09-10

Premier CS Rating

379 below peak (6,673)
-198 over 30 days · steady
Next: Blue band at 10,000 — 3,706 to go
Reached: Light Blue band
Light Blue band first seen 2026-09-10

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 Light Blue band among CSDB-tracked players (n=8,820), 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	Light Blue band median	Blue band median	vs Blue band
Headshot rate	37.9%	39.9%	42.0%	4.1% short
Shot accuracy	3.5%	7.0%	9.6%	6.2% short
Kill/death ratio	0.81	0.92	0.98	0.17 short
Match win rate	38.7%	42.3%	43.8%	5.1% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Blue 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

Aim32

Positioning48

Utility9

0–100 skill scores via Leetify.

Recent form

STEADY43–49–8Last 10043%Win rateWLWWWLLLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.1pp headshot accuracy · +36ms reaction

Win rate +10pp 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 -0.04
Avg headshot accuracy 13%
Avg reaction 656ms

Last 10

4–6 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 677ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 659ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim3.2

Utility0.9

Positioning4.8

Opening Duels3.0

Limited utility dependence

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 78% playstyle similarity

Most alike: positioning profile, 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. 675ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.2

Positioning4.8

Utility0.9

Mechanics2.4

Opening Duels4.5

Win Impact1.4

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time679ms+63ms

first ⅓ avg 616ms → last ⅓ avg 679ms

Headshot accuracy13.3%+2.1%

first ⅓ avg 11.2% → last ⅓ avg 13.3%

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.

Personal bests

0.13Best match rating · 13–8 · nuke, 13 Oct →

32%Best headshot accuracy · 10–13 · inferno, 18 Sept →

406msFastest reaction time · 10–13 · anubis, 25 Sept →

13–1Biggest win · nuke, 1 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

6–3In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 70% over 10officeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	37	15–22	41%	-0.03
office	D	11	3–8	27%	-0.03
vertigo	S	10	7–3	70%	-0.02
inferno	C	9	4–5	44%	-0.01
poseidon	B	8	4–4	50%	-0.04
dust2	D	7	2–5	29%	-0.02
train	D	6	2–4	33%	0.01
anubis	B	6	3–3	50%	-0.01
mirage	A	5	3–2	60%	0.03
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Lifetime stats

41,623Lifetime kills

0.81K/D

2,924Matches

38.7%Match win rate

37.9%Headshot %

3.5%Shot accuracy

4,102MVPs

1,052Hours (in match)

1,608Bombs planted

420Bombs defused

Most-used weapons

AK-4710,514

M4A4 / M4A1-S6,471

AWP4,782

Desert Eagle4,421

P2000 / USP-S2,466

Glock-182,186

SSG 081,209

Galil AR1,010

MP7926

FAMAS750

Lifetime map wins

8,089dust2

2,509inferno

1,985nuke

1,602office

722vertigo

364italy

220train

44cbble

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.

13.4%Headshot accuracy

32.1%Accuracy (enemy spotted)

35.9%Spray accuracy

60.8%Counter-strafing

11.0°Preaim

675msReaction time

49.7%T opening success

46.0%CT opening success

0.13Enemies flashed / flash

1.0%Flash assists

9.91HE damage / grenade

0.59Flashes / 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 13.4483% — below the 15% mark we flag
Aim Training →
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 0.1349 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–8	-0.06	9%	16 Oct →
nuke	4–13	-0.01	17%	16 Oct →
nuke	13–11	-0.05	10%	16 Oct →
nuke	13–7	-0.06	6%	16 Oct →
office	13–5	-0.01	22%	16 Oct →
nuke	5–13	-0.04	8%	16 Oct →
nuke	4–13	0.01	13%	15 Oct →
train	7–13	0.05	17%	15 Oct →
nuke	9–13	0.00	18%	15 Oct →
mirage	9–13	-0.08	7%	14 Oct →
nuke	7–13	-0.01	7%	14 Oct →
train	4–13	-0.01	12%	13 Oct →
nuke	13–8	0.13	14%	13 Oct →
nuke	13–11	-0.03	4%	13 Oct →
office	13–7	-0.05	25%	13 Oct →
mirage	7–13	-0.05	10%	13 Oct →
dust2	12–12	-0.04	16%	11 Oct →
nuke	6–13	0.01	17%	10 Oct →
nuke	6–13	0.01	20%	10 Oct →
train	3–13	0.04	13%	10 Oct →
nuke	7–13	0.02	12%	10 Oct →
office	6–13	-0.01	17%	10 Oct →
nuke	13–8	0.04	12%	10 Oct →
nuke	13–4	-0.02	11%	10 Oct →
office	12–12	0.01	6%	9 Oct →
office	4–13	0.04	21%	9 Oct →
nuke	3–13	-0.04	11%	9 Oct →
nuke	7–13	-0.04	22%	9 Oct →
nuke	13–8	0.02	23%	8 Oct →
nuke	13–6	-0.00	8%	8 Oct →
train	7–13	-0.05	9%	8 Oct →
office	13–9	0.04	15%	8 Oct →
nuke	10–13	-0.05	8%	8 Oct →
office	6–13	-0.07	9%	8 Oct →
dust2	12–12	-0.06	10%	8 Oct →
nuke	10–13	-0.07	17%	8 Oct →
nuke	8–13	-0.08	21%	8 Oct →
nuke	3–13	-0.07	9%	8 Oct →
train	13–11	0.03	16%	8 Oct →
nuke	4–13	-0.06	20%	8 Oct →
nuke	13–7	-0.04	7%	7 Oct →
office	7–13	-0.08	28%	7 Oct →
nuke	13–2	-0.02	10%	7 Oct →
office	4–13	-0.09	14%	5 Oct →
vertigo	11–13	-0.01	9%	5 Oct →
anubis	8–13	-0.01	15%	5 Oct →
mirage	13–2	0.12	15%	5 Oct →
nuke	13–6	-0.06	8%	5 Oct →
vertigo	11–13	-0.01	8%	3 Oct →
anubis	13–11	-0.03	10%	2 Oct →
nuke	6–13	-0.02	4%	2 Oct →
overpass	4–13	-0.03	13%	2 Oct →
nuke	13–2	-0.02	14%	1 Oct →
nuke	3–13	-0.09	4%	1 Oct →
nuke	13–8	-0.09	21%	1 Oct →
nuke	13–1	-0.06	11%	1 Oct →
nuke	7–13	-0.08	29%	1 Oct →
office	10–13	-0.12	3%	1 Oct →
nuke	4–13	-0.08	17%	30 Sept →
vertigo	13–9	-0.02	4%	25 Sept →
anubis	10–13	0.01	12%	25 Sept →
inferno	13–5	0.07	21%	25 Sept →
vertigo	13–8	-0.05	11%	25 Sept →
anubis	13–4	-0.00	11%	25 Sept →
dust2	10–13	0.00	12%	25 Sept →
inferno	13–4	-0.02	0%	25 Sept →
poseidon	7–9	-0.12	7%	25 Sept →
poseidon	1–9	-0.18	0%	25 Sept →
nuke	13–11	-0.02	5%	24 Sept →
anubis	1–13	-0.05	7%	23 Sept →
office	12–12	-0.04	15%	23 Sept →
vertigo	6–13	-0.02	5%	23 Sept →
vertigo	13–8	-0.07	6%	23 Sept →
train	13–7	0.03	13%	23 Sept →
vertigo	13–3	0.03	15%	23 Sept →
inferno	13–11	0.03	13%	23 Sept →
dust2	7–13	0.01	12%	23 Sept →
mirage	13–9	0.03	14%	22 Sept →
nuke	1–13	-0.06	12%	22 Sept →
inferno	8–8	0.12	12%	22 Sept →
inferno	13–9	0.09	12%	22 Sept →
inferno	10–13	-0.03	7%	21 Sept →
inferno	5–13	-0.01	14%	21 Sept →
poseidon	8–8	0.12	20%	20 Sept →
poseidon	9–5	-0.00	11%	20 Sept →
poseidon	9–1	-0.01	5%	20 Sept →
poseidon	8–8	0.01	13%	20 Sept →
poseidon	9–3	-0.02	27%	20 Sept →
poseidon	9–6	-0.11	0%	20 Sept →
inferno	6–9	-0.26	13%	20 Sept →
dust2	13–7	-0.00	14%	19 Sept →
inferno	10–13	-0.04	32%	18 Sept →
vertigo	13–1	-0.06	3%	18 Sept →
anubis	13–6	0.01	11%	18 Sept →
mirage	13–7	0.11	14%	18 Sept →
nuke	8–13	-0.05	8%	18 Sept →
dust2	12–12	-0.01	14%	18 Sept →
vertigo	13–6	0.07	7%	15 Sept →
nuke	10–13	0.02	7%	15 Sept →
dust2	13–9	-0.06	12%	15 Sept →