jeans — CS2 Stats

76561199019774661[U:1:1059508933]Steam profile ↗✓ No bans

2,972Tracked matches46%Win rate2022Tracked since

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating10,623Blue band · top ~51.6% of ranked players (population est.)

CSDB Leaderboard#14420 of 19859 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim70

Positioning61

Utility42

0–100 skill scores via Leetify.

Recent form

COLD55–40–5Last 10055%Win rateTLLWWLWLLL

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.0

Aggression9.1

Utility4.2

Positioning6.1

Opening Duels4.6

Clutch0.0

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.

Your pro match

Plays most like ropz 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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. 652ms 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

Aim7.0

Positioning6.1

Utility4.2

Mechanics7.1

Opening Duels4.6

Win Impact3.8

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time669ms−39ms

first ⅓ avg 709ms → last ⅓ avg 669ms

Headshot accuracy21.8%−1.5%

first ⅓ avg 23.2% → last ⅓ avg 21.8%

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

0.20Best rating — poseidon 9–5

13–1Biggest win — mirage

7Longest win streak

4–4In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 61% over 18dust2Weakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	24	13–11	54%	0.01
mirage	A	18	11–7	61%	-0.00
anubis	C	12	5–7	42%	0.01
dust2	D	12	4–8	33%	-0.02
nuke	A	10	6–4	60%	-0.03
ancient	A	9	5–4	56%	0.02
inferno	C	5	2–3	40%	-0.03
debris	—	3	3–0	100%	0.11
train	—	2	2–0	100%	-0.02
poseidon	—	2	2–0	100%	0.10
eldorado	—	2	2–0	100%	-0.05
fachwerk	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches

36%Win rate

1.33Avg K/D

105.1ADR

48%Headshot %

Clutches & streaks

0%1v1 clutch win

25%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	5	60%	1.55	18.4
Ancient	2	0%	0.89	16.5
Anubis	2	50%	1.75	25.0
Mirage	1	0%	0.64	14.0
Inferno	1	0%	0.56	10.0
Nuke	1	0%	1.17	21.0
Dust2	1	100%	2.30	23.0

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.

20.5%Headshot accuracy

34.9%Accuracy (enemy spotted)

38.2%Spray accuracy

81.8%Counter-strafing

9.6°Preaim

652msReaction time

42.7%T opening success

53.8%CT opening success

0.58Enemies flashed / flash

7.0%Flash assists

10.31HE damage / grenade

3.54Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5435 — below the 4 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.

33% win rate across 12 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
cache	12–12	-0.00	14%	22 Aug →
cache	10–13	0.07	14%	22 Aug →
mirage	9–13	-0.06	26%	22 Aug →
ancient	13–9	-0.01	25%	21 Aug →
cache	13–8	-0.01	8%	21 Aug →
ancient	3–13	-0.02	15%	20 Aug →
anubis	13–9	-0.07	24%	20 Aug →
mirage	7–13	-0.02	28%	18 Aug →
ancient	8–13	0.01	11%	18 Aug →
cache	9–13	0.01	24%	17 Aug →
anubis	8–13	0.06	27%	10 Aug →
mirage	10–13	-0.00	17%	10 Aug →
anubis	7–13	-0.03	24%	10 Aug →
cache	4–13	-0.06	37%	10 Aug →
mirage	13–10	-0.03	22%	10 Aug →
mirage	11–13	0.00	19%	9 Aug →
anubis	12–12	0.01	24%	9 Aug →
inferno	13–10	0.02	23%	8 Aug →
cache	13–5	-0.05	28%	8 Aug →
ancient	13–5	0.04	13%	8 Aug →
cache	13–9	0.03	24%	8 Aug →
nuke	13–6	-0.04	17%	8 Aug →
nuke	13–4	0.06	17%	6 Aug →
train	13–8	-0.04	22%	5 Aug →
cache	3–13	0.00	18%	5 Aug →
nuke	13–9	0.00	25%	3 Aug →
ancient	10–13	0.03	14%	28 Jul →
mirage	5–13	0.00	23%	28 Jul →
mirage	13–7	-0.06	19%	26 Jul →
nuke	5–13	-0.03	16%	26 Jul →
cache	13–11	-0.02	27%	26 Jul →
poseidon	9–5	0.20	35%	26 Jul →
debris	9–5	0.12	40%	26 Jul →
mirage	13–10	-0.01	12%	23 Jul →
nuke	3–13	0.01	34%	23 Jul →
dust2	1–13	-0.08	13%	22 Jul →
anubis	13–11	0.01	20%	22 Jul →
dust2	10–13	-0.04	24%	21 Jul →
inferno	5–13	-0.08	35%	20 Jul →
cache	13–11	0.02	34%	20 Jul →
mirage	13–9	-0.01	27%	20 Jul →
eldorado	9–3	-0.06	71%	18 Jul →
debris	9–4	0.13	48%	18 Jul →
poseidon	9–5	-0.00	46%	18 Jul →
eldorado	9–2	-0.03	27%	18 Jul →
debris	9–1	0.09	38%	18 Jul →
ancient	9–13	-0.02	13%	15 Jul →
cache	9–13	-0.03	13%	10 Jul →
dust2	4–13	-0.03	29%	10 Jul →
nuke	13–2	0.02	31%	10 Jul →
train	13–9	0.01	21%	9 Jul →
fachwerk	3–13	-0.12	13%	9 Jul →
anubis	13–7	0.02	22%	5 Jul →
dust2	8–13	-0.03	15%	5 Jul →
ancient	13–5	0.00	14%	30 Jun →
cache	13–6	0.08	24%	29 Jun →
dust2	12–12	0.01	31%	29 Jun →
inferno	12–12	-0.08	23%	28 Jun →
anubis	13–9	0.00	13%	28 Jun →
mirage	13–5	-0.03	24%	28 Jun →
cache	13–6	-0.00	21%	28 Jun →
dust2	2–13	-0.04	10%	25 Jun →
cache	9–13	-0.04	17%	22 Jun →
mirage	13–3	0.10	23%	22 Jun →
cache	13–4	0.04	21%	22 Jun →
cache	6–13	-0.08	17%	18 Jun →
mirage	4–13	-0.01	37%	16 Jun →
cache	9–2	0.01	15%	16 Jun →
inferno	13–7	0.06	19%	13 Jun →
anubis	11–13	0.01	15%	13 Jun →
dust2	13–5	-0.01	23%	13 Jun →
cache	13–8	0.04	17%	12 Jun →
dust2	13–7	-0.08	14%	12 Jun →
inferno	2–13	-0.05	42%	12 Jun →
dust2	12–12	0.03	33%	10 Jun →
mirage	13–9	0.04	23%	10 Jun →
nuke	13–10	-0.08	25%	10 Jun →
dust2	13–10	0.01	27%	10 Jun →
cache	9–13	0.04	17%	9 Jun →
mirage	13–7	-0.03	14%	8 Jun →
cache	6–13	0.03	33%	8 Jun →
mirage	13–10	-0.00	40%	7 Jun →
anubis	13–2	0.13	25%	5 Jun →
nuke	8–13	-0.11	12%	3 Jun →
mirage	13–10	-0.05	32%	2 Jun →
cache	13–9	0.03	29%	1 Jun →
ancient	13–3	0.12	32%	1 Jun →
anubis	11–13	0.05	18%	1 Jun →
mirage	8–13	0.01	29%	31 May →
dust2	11–13	-0.02	23%	31 May →
dust2	13–7	0.06	19%	30 May →
anubis	8–13	-0.06	24%	30 May →
mirage	13–1	0.07	17%	30 May →
cache	9–13	0.00	25%	28 May →
cache	13–3	0.10	17%	28 May →
nuke	13–4	-0.05	16%	27 May →
nuke	2–13	-0.08	17%	25 May →
ancient	7–1	0.04	33%	25 May →
anubis	7–13	0.00	20%	25 May →
cache	13–11	-0.04	21%	25 May →