Femboy $hane — CS2 Stats

76561198325023477[U:1:364757749]Steam profile ↗✓ No bans

2,661Tracked matches43%Win rate2020Tracked since

3,801Hours in CS11Hrs last 2 wks

CSDB Rating6.4 SolidAll-Rounder

WingmanGold Nova I

Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	51	—	—
Win rate	35%	—	—
K/D	0.79	—	—
Headshot %	51%	—	—

Measured 22 Sep 2026 → 18 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim77

Positioning63

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY40–51–9Last 10040%Win rateWWLWLLLWLT

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.8pp headshot accuracy · −58ms 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

3–2 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 26%
Avg reaction 569ms

Last 10

4–5–1 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 24%
Avg reaction 588ms

Last 20

7–11–2 · 35% win rate
Avg rating -0.02
Avg headshot accuracy 23%
Avg reaction 616ms

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.

Aim7.7

Utility5.6

Positioning6.3

Opening Duels5.4

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 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

CT openings. 61% 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 61% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim7.7

Positioning6.3

Utility5.6

Mechanics7.7

Opening Duels5.4

Win Impact2.6

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time597ms−56ms

first ⅓ avg 653ms → last ⅓ avg 597ms

Headshot accuracy23.6%−2.0%

first ⅓ avg 25.5% → last ⅓ avg 23.6%

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

0.34Best match rating · 9–3 · inferno, 19 Sept →

49%Best headshot accuracy · 13–9 · office, 11 Sept →

391msFastest reaction time · 2–13 · office, 19 Sept →

13–2Biggest win · office, 4 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W2Current streak

1–11In matches decided by ≤2 rounds

Map breakdown

officeBest map · 49% over 47mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
office	B	47	23–24	49%	-0.01
dust2	D	21	6–15	29%	-0.03
nuke	D	12	3–9	25%	-0.05
inferno	C	9	4–5	44%	0.01
mirage	D	5	1–4	20%	-0.03
anubis	—	3	2–1	67%	-0.03
cache	—	3	1–2	33%	-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

183,499Lifetime kills

0.92K/D

14,385Matches

32.6%Match win rate

35.6%Headshot %

19.7%Shot accuracy · Top 5% of tracked players

9,683MVPs

2,503Hours (in match)

3,687Bombs planted

758Bombs defused

Most-used weapons

M4A4 / M4A1-S19,119

Knife19,031

AK-4718,704

AWP13,444

SSG 0812,518

Desert Eagle7,566

P2000 / USP-S7,384

MP77,334

Galil AR6,175

MP94,992

Lifetime map wins

10,642dust2

5,618office

3,790nuke

2,625inferno

1,271safehouse

1,114lake

1,008ar_shoots

642vertigo

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.

24.1%Headshot accuracy

33.6%Accuracy (enemy spotted)

38.0%Spray accuracy

84.5%Counter-strafing

10.2°Preaim

603msReaction time

41.9%T opening success

61.3%CT opening success

0.46Enemies flashed / flash

8.8%Flash assists

12.09HE damage / grenade

10.93Flashes / 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 0.4644 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	13–7	-0.01	38%	18 Oct →
office	13–4	-0.05	32%	17 Oct →
inferno	9–13	-0.04	17%	17 Oct →
nuke	13–10	-0.05	20%	17 Oct →
dust2	9–13	-0.01	24%	17 Oct →
office	11–13	0.02	20%	17 Oct →
office	4–13	-0.05	20%	10 Oct →
office	13–4	0.09	33%	10 Oct →
office	10–13	-0.01	13%	8 Oct →
nuke	12–12	0.02	21%	7 Oct →
dust2	12–12	-0.02	17%	7 Oct →
office	9–2	0.01	8%	6 Oct →
anubis	13–10	-0.01	18%	6 Oct →
office	10–13	-0.06	16%	4 Oct →
nuke	6–9	-0.10	18%	3 Oct →
mirage	13–9	0.01	36%	3 Oct →
dust2	7–13	-0.01	24%	3 Oct →
office	7–13	0.02	31%	2 Oct →
office	11–13	-0.02	31%	1 Oct →
dust2	5–13	-0.09	22%	30 Sept →
office	9–2	0.06	9%	30 Sept →
office	13–9	0.06	36%	29 Sept →
office	5–13	0.00	31%	28 Sept →
office	3–13	-0.09	38%	28 Sept →
inferno	13–4	-0.00	34%	27 Sept →
dust2	13–6	-0.01	26%	27 Sept →
dust2	13–4	-0.03	26%	27 Sept →
office	5–13	-0.07	17%	26 Sept →
office	9–13	0.12	19%	26 Sept →
dust2	11–13	-0.06	23%	26 Sept →
dust2	4–13	0.01	14%	25 Sept →
office	10–13	0.07	23%	24 Sept →
office	13–11	0.06	18%	23 Sept →
office	9–13	-0.07	17%	23 Sept →
anubis	7–13	-0.05	25%	22 Sept →
office	13–10	-0.01	25%	22 Sept →
dust2	11–13	-0.05	29%	21 Sept →
dust2	6–13	-0.09	45%	21 Sept →
office	11–13	-0.01	13%	20 Sept →
office	2–13	-0.07	45%	20 Sept →
inferno	9–3	0.34	15%	19 Sept →
inferno	7–9	0.01	19%	19 Sept →
office	2–13	-0.03	3%	19 Sept →
nuke	9–13	-0.04	19%	19 Sept →
nuke	9–13	-0.11	13%	17 Sept →
inferno	3–13	-0.01	24%	17 Sept →
dust2	4–13	-0.07	14%	16 Sept →
nuke	12–12	-0.04	13%	16 Sept →
mirage	8–13	0.01	23%	16 Sept →
dust2	11–13	-0.03	18%	14 Sept →
nuke	6–9	-0.02	36%	14 Sept →
dust2	13–9	0.01	29%	14 Sept →
inferno	9–4	-0.00	12%	14 Sept →
inferno	4–9	-0.13	19%	14 Sept →
mirage	12–12	-0.07	22%	13 Sept →
nuke	7–13	-0.06	47%	13 Sept →
inferno	11–13	-0.03	36%	13 Sept →
office	13–8	-0.06	35%	12 Sept →
nuke	9–13	-0.02	23%	12 Sept →
nuke	6–0	0.00	0%	12 Sept →
office	8–13	-0.03	22%	11 Sept →
office	13–9	0.09	49%	11 Sept →
dust2	11–13	-0.01	20%	9 Sept →
dust2	13–10	-0.03	27%	9 Sept →
dust2	13–6	0.07	24%	9 Sept →
nuke	13–10	-0.07	26%	8 Sept →
office	13–9	0.03	18%	7 Sept →
office	13–9	0.07	12%	7 Sept →
office	5–13	-0.04	24%	7 Sept →
mirage	3–13	-0.05	41%	7 Sept →
dust2	12–12	-0.06	14%	7 Sept →
office	8–13	0.04	25%	6 Sept →
office	3–13	-0.08	15%	6 Sept →
anubis	13–7	-0.04	31%	5 Sept →
dust2	13–10	-0.01	46%	5 Sept →
office	11–13	-0.02	30%	5 Sept →
office	13–10	-0.03	30%	5 Sept →
dust2	12–12	-0.04	25%	4 Sept →
office	12–12	-0.08	24%	4 Sept →
office	13–2	0.05	23%	4 Sept →
inferno	7–1	-0.01	33%	3 Sept →
nuke	8–8	-0.06	20%	3 Sept →
office	13–7	-0.03	29%	3 Sept →
office	11–13	-0.05	32%	3 Sept →
office	1–13	-0.00	38%	3 Sept →
dust2	5–13	-0.03	12%	2 Sept →
office	13–9	-0.06	30%	2 Sept →
office	13–7	0.02	41%	1 Sept →
cache	9–13	-0.04	26%	1 Sept →
office	13–6	-0.02	26%	1 Sept →
office	13–4	-0.02	18%	31 Aug →
office	13–8	0.01	29%	31 Aug →
office	13–9	-0.02	28%	31 Aug →
mirage	12–12	-0.05	28%	31 Aug →
cache	13–6	0.01	35%	30 Aug →
office	8–13	-0.05	12%	29 Aug →
dust2	8–13	-0.05	16%	29 Aug →
office	13–10	-0.02	29%	28 Aug →
cache	3–13	-0.12	6%	26 Aug →
office	13–10	0.04	15%	26 Aug →