tux — CS2 Stats

FX76561197961346458[U:1:1080730]Steam profile ↗VAC banned

890Tracked matches41%Win rate2020Tracked since

3,121Hours in CS17Hrs last 2 wks

CSDB Rating5.3 DevelopingPassive Rifler

Premier CS Rating18,180Purple band · top ~15.7% of ranked players (population est.)

CSDB Leaderboard#22293 of 46220 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	32.6%	44.2%	47.1%	14.4% short
Shot accuracy	10.9%	11.6%	12.8%	1.9% short
Kill/death ratio	1.35	1.03	1.08	above
Match win rate	51.2%	45.2%	46.6%	above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink 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

Aim80

Positioning37

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateWLLWLLLWWL

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.0

Aggression3.5

Utility5.1

Positioning3.7

Opening Duels0.6

Clutch4.0

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 NiKo 81% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; 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

Areas to improve

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

Reaction time. 582ms 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

Aim8.0

Positioning3.7

Utility5.1

Mechanics6.9

Opening Duels1.1

Win Impact2.1

Composite 5.3/10 (Developing), 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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time576ms−3ms

first ⅓ avg 578ms → last ⅓ avg 576ms

Headshot accuracy16.8%+4.0%

first ⅓ avg 12.8% → last ⅓ avg 16.8%

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

0.18Best rating — dust2 13–4

13–2Biggest win — dust2

8Longest win streak

4–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 60% over 10cacheWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	34	13–21	38%	0.02
inferno	B	25	13–12	52%	0.01
anubis	D	12	4–8	33%	0.01
nuke	A	10	6–4	60%	0.03
cache	D	7	1–6	14%	0.01
ancient	A	7	4–3	57%	0.03
mirage	—	2	1–1	50%	0.05
overpass	—	1	1–0	100%	0.04
train	—	1	1–0	100%	0.15
office	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Lifetime stats

78,951Lifetime kills

1.35K/D · Top 10% of Purple band

3,405Matches

51.2%Match win rate · Top 10% of Purple band

32.6%Headshot %

10.9%Shot accuracy

11,520MVPs

1,746Hours (in match)

5,247Bombs planted

1,232Bombs defused

Most-used weapons

AK-4716,655

M4A4 / M4A1-S13,475

AWP10,714

P2000 / USP-S5,120

P904,815

Glock-184,377

Galil AR3,593

MP73,066

SSG 082,469

Desert Eagle1,567

Lifetime map wins

27,226inferno

3,510dust2

2,409nuke

800vertigo

414train

236office

161assault

80dust

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

Faceit stats

Combat

43Matches

53%Win rate

1.47Avg K/D

94.6ADR

33%Headshot %

Clutches & streaks

40%1v1 clutch win

35%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	11	73%	1.36	17.9
Inferno	9	67%	1.92	21.9
Dust2	7	29%	0.98	14.0
Nuke	6	50%	1.22	20.2
Ancient	4	50%	2.16	13.0
Mirage	3	33%	1.27	17.0
Vertigo	2	50%	1.47	19.0
Office	1	0%	1.21	17.0

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.

17.0%Headshot accuracy

37.9%Accuracy (enemy spotted)

42.6%Spray accuracy

80.9%Counter-strafing

8.9°Preaim

582msReaction time

38.5%T opening success

26.3%CT opening success

0.49Enemies flashed / flash

3.6%Flash assists

8.92HE damage / grenade

7.44Flashes / 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 0.4939 — below the 0.5 mark we flag
Grenade Lineups →
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 38.5324% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–5	-0.04	11%	28 Aug →
dust2	9–13	-0.05	21%	28 Aug →
dust2	0–13	-0.07	21%	21 Aug →
dust2	13–7	-0.03	31%	21 Aug →
inferno	11–13	0.01	17%	20 Aug →
anubis	5–13	-0.05	11%	20 Aug →
mirage	11–13	0.09	12%	20 Aug →
inferno	13–5	0.04	18%	20 Aug →
ancient	13–5	0.06	19%	20 Aug →
anubis	3–13	-0.07	17%	16 Aug →
inferno	13–7	0.00	17%	16 Aug →
dust2	9–13	0.00	21%	16 Aug →
dust2	6–13	-0.01	15%	16 Aug →
inferno	13–6	0.02	17%	16 Aug →
dust2	13–2	0.14	19%	16 Aug →
inferno	12–12	0.06	12%	16 Aug →
dust2	10–13	0.03	23%	16 Aug →
dust2	5–13	-0.03	19%	14 Aug →
overpass	13–8	0.04	22%	11 Aug →
inferno	13–9	0.06	16%	11 Aug →
inferno	14–16	0.08	12%	11 Aug →
ancient	6–13	0.07	19%	11 Aug →
dust2	10–13	0.10	18%	11 Aug →
ancient	13–7	-0.04	3%	11 Aug →
anubis	13–10	0.09	18%	11 Aug →
cache	6–13	0.04	18%	10 Aug →
dust2	13–8	0.07	27%	10 Aug →
nuke	1–13	-0.01	10%	8 Aug →
nuke	7–13	0.13	18%	8 Aug →
dust2	7–13	-0.00	11%	8 Aug →
nuke	13–9	-0.02	4%	8 Aug →
dust2	9–13	0.06	18%	8 Aug →
ancient	5–13	0.02	21%	8 Aug →
anubis	11–13	0.07	9%	8 Aug →
dust2	13–8	-0.02	11%	6 Aug →
anubis	13–7	0.01	10%	6 Aug →
dust2	7–13	-0.02	14%	6 Aug →
inferno	13–10	0.08	12%	6 Aug →
mirage	13–10	0.01	17%	5 Aug →
anubis	6–13	-0.05	15%	5 Aug →
dust2	10–13	0.02	18%	5 Aug →
dust2	8–13	-0.01	19%	4 Aug →
inferno	3–13	-0.01	24%	4 Aug →
dust2	0–7	0.02	15%	4 Aug →
dust2	7–13	-0.01	20%	4 Aug →
anubis	6–13	0.00	20%	1 Aug →
inferno	13–16	0.02	7%	1 Aug →
dust2	5–13	0.08	20%	1 Aug →
inferno	5–13	0.01	18%	1 Aug →
dust2	13–4	0.18	18%	1 Aug →
inferno	13–10	0.05	12%	1 Aug →
inferno	4–13	-0.00	19%	1 Aug →
dust2	9–13	0.03	11%	1 Aug →
train	13–4	0.15	14%	1 Aug →
ancient	10–13	-0.06	5%	31 Jul →
anubis	13–4	0.14	4%	31 Jul →
dust2	13–6	0.11	14%	31 Jul →
inferno	13–6	-0.01	18%	31 Jul →
inferno	12–12	-0.01	10%	31 Jul →
cache	8–13	-0.06	11%	28 Jul →
nuke	13–5	0.06	17%	28 Jul →
inferno	7–13	-0.03	13%	28 Jul →
dust2	4–13	-0.02	10%	28 Jul →
anubis	11–13	0.00	9%	28 Jul →
dust2	8–13	-0.01	19%	28 Jul →
inferno	12–12	-0.01	11%	28 Jul →
dust2	13–10	0.03	6%	28 Jul →
anubis	13–6	0.00	9%	27 Jul →
nuke	14–16	0.01	9%	26 Jul →
office	8–13	0.02	11%	26 Jul →
cache	11–13	-0.03	8%	26 Jul →
dust2	8–13	0.03	19%	26 Jul →
dust2	7–13	0.01	9%	26 Jul →
inferno	13–10	0.01	9%	25 Jul →
dust2	13–11	-0.01	16%	25 Jul →
dust2	13–11	0.06	15%	24 Jul →
anubis	5–13	0.03	11%	24 Jul →
inferno	5–13	0.02	15%	24 Jul →
inferno	13–5	0.02	10%	22 Jul →
dust2	0–13	-0.04	14%	22 Jul →
dust2	13–10	-0.01	19%	22 Jul →
nuke	13–8	0.10	17%	21 Jul →
cache	10–13	0.06	13%	20 Jul →
cache	2–13	0.07	30%	20 Jul →
ancient	13–8	0.16	7%	20 Jul →
anubis	5–13	0.01	18%	17 Jul →
inferno	13–5	-0.00	12%	17 Jul →
dust2	13–7	0.06	13%	17 Jul →
inferno	6–13	-0.03	13%	17 Jul →
inferno	8–5	-0.00	25%	14 Jul →
cache	4–13	0.02	10%	13 Jul →
ancient	13–11	-0.04	9%	13 Jul →
nuke	13–9	0.03	12%	13 Jul →
nuke	13–7	0.11	18%	13 Jul →
dust2	13–9	0.00	12%	13 Jul →
inferno	13–11	-0.01	10%	11 Jul →
nuke	13–10	-0.03	10%	11 Jul →
dust2	13–2	0.02	5%	11 Jul →
inferno	13–9	0.02	7%	11 Jul →
nuke	9–13	-0.04	8%	11 Jul →