TRAsH — CS2 Stats

76561198168679969[U:1:208414241]

5,126Tracked matches61%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim92

Positioning48

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateWWTLTLLWLW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

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

Aim9.2

Aggression7.0

Utility4.8

Positioning4.8

Opening Duels2.1

Sharp aimerStrong 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.

Your pro match

Plays most like ropz 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success.

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.

Areas to improve

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

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

T-side openings. Opening success drops from 50% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 559ms 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

Positioning4.8

Utility4.8

Mechanics7.4

Opening Duels2.4

Win Impact8.6

Composite 6.7/10 (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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time563ms+25ms

first ⅓ avg 538ms → last ⅓ avg 563ms

Headshot accuracy23.0%+0.5%

first ⅓ avg 22.6% → last ⅓ avg 23.0%

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

0.22Best rating — dust2 11–13

13–1Biggest win — dust2

5Longest win streak

W2Current streak

8–5In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 63% over 8officeWeakest map · 47% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	73	39–34	53%	0.01
office	B	15	7–8	47%	0.04
cache	A	8	5–3	63%	0.01
nuke	—	3	2–1	67%	0.07
ancient	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.4%Headshot accuracy

40.2%Accuracy (enemy spotted)

39.8%Spray accuracy

83.2%Counter-strafing

6.5°Preaim

559msReaction time

26.9%T opening success

49.5%CT opening success

0.53Enemies flashed / flash

8.7%Flash assists

5.52HE damage / grenade

9.64Flashes / 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.

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 26.9451% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	0.07	34%	28 Aug →
office	13–4	0.00	22%	28 Aug →
cache	12–12	-0.01	12%	28 Aug →
dust2	10–13	0.05	29%	28 Aug →
cache	12–12	-0.03	12%	28 Aug →
office	11–13	-0.05	14%	28 Aug →
dust2	4–11	0.03	11%	28 Aug →
office	13–9	0.02	31%	28 Aug →
office	6–13	-0.02	33%	28 Aug →
dust2	13–9	0.05	28%	28 Aug →
office	13–11	0.07	39%	28 Aug →
dust2	13–1	0.02	20%	28 Aug →
dust2	5–13	-0.04	20%	28 Aug →
dust2	13–4	0.00	17%	28 Aug →
dust2	10–13	0.02	25%	28 Aug →
dust2	8–13	-0.03	10%	28 Aug →
dust2	13–6	-0.03	18%	28 Aug →
dust2	10–13	-0.06	23%	27 Aug →
dust2	13–10	0.00	22%	27 Aug →
dust2	11–13	0.22	23%	27 Aug →
dust2	13–3	0.10	33%	27 Aug →
dust2	13–11	0.06	25%	27 Aug →
office	13–11	0.08	26%	27 Aug →
dust2	13–10	-0.05	10%	27 Aug →
dust2	1–13	-0.05	25%	27 Aug →
dust2	13–5	0.06	31%	27 Aug →
dust2	3–13	0.10	33%	27 Aug →
dust2	13–7	-0.00	35%	27 Aug →
dust2	13–10	0.04	19%	27 Aug →
dust2	13–7	0.05	24%	27 Aug →
nuke	13–8	0.04	17%	27 Aug →
nuke	13–3	0.16	25%	27 Aug →
office	11–13	0.04	14%	27 Aug →
dust2	13–10	0.09	32%	27 Aug →
dust2	8–1	0.02	30%	27 Aug →
office	13–6	0.19	28%	27 Aug →
dust2	8–13	0.01	29%	27 Aug →
dust2	6–13	-0.01	24%	27 Aug →
dust2	6–13	-0.06	12%	26 Aug →
dust2	13–11	-0.03	17%	26 Aug →
dust2	10–13	0.00	45%	26 Aug →
dust2	12–12	-0.04	23%	26 Aug →
dust2	0–13	-0.05	21%	26 Aug →
dust2	7–13	-0.04	17%	26 Aug →
dust2	13–8	-0.03	35%	26 Aug →
cache	13–1	0.00	26%	26 Aug →
cache	13–2	0.11	15%	26 Aug →
dust2	8–13	0.00	22%	26 Aug →
dust2	13–7	0.02	15%	26 Aug →
dust2	5–13	-0.03	12%	26 Aug →
dust2	10–13	-0.05	18%	24 Aug →
dust2	13–8	0.07	15%	24 Aug →
dust2	5–13	-0.03	11%	24 Aug →
ancient	9–13	-0.05	11%	24 Aug →
dust2	13–6	0.11	27%	24 Aug →
dust2	1–13	-0.09	17%	24 Aug →
dust2	13–6	0.05	29%	24 Aug →
office	12–12	0.04	17%	24 Aug →
dust2	13–7	-0.01	27%	24 Aug →
dust2	11–13	0.03	9%	24 Aug →
office	13–8	0.01	18%	24 Aug →
dust2	1–13	-0.09	15%	24 Aug →
dust2	12–12	0.08	28%	24 Aug →
dust2	13–4	0.11	21%	24 Aug →
dust2	13–7	-0.01	21%	24 Aug →
dust2	13–9	0.06	19%	24 Aug →
dust2	13–6	0.09	50%	24 Aug →
dust2	13–6	0.01	26%	24 Aug →
dust2	12–12	-0.03	29%	24 Aug →
dust2	9–5	-0.06	31%	23 Aug →
dust2	13–3	0.04	23%	23 Aug →
dust2	7–3	0.16	25%	23 Aug →
dust2	8–13	-0.00	20%	23 Aug →
office	12–12	0.10	16%	23 Aug →
office	2–13	-0.08	19%	23 Aug →
cache	13–8	0.01	16%	23 Aug →
nuke	9–13	0.02	14%	23 Aug →
dust2	4–13	-0.00	19%	23 Aug →
dust2	5–13	-0.02	13%	23 Aug →
dust2	13–11	-0.02	29%	23 Aug →
dust2	13–3	0.08	19%	21 Aug →
cache	10–13	0.02	13%	21 Aug →
cache	13–10	-0.05	10%	21 Aug →
dust2	10–13	-0.06	29%	21 Aug →
dust2	13–11	0.04	23%	21 Aug →
dust2	13–9	0.08	24%	21 Aug →
dust2	2–13	-0.05	21%	21 Aug →
dust2	9–13	-0.03	8%	21 Aug →
dust2	13–11	-0.05	18%	21 Aug →
dust2	8–13	0.03	28%	21 Aug →
cache	13–8	0.01	31%	21 Aug →
dust2	13–10	0.04	22%	21 Aug →
dust2	13–9	-0.03	25%	21 Aug →
dust2	13–8	-0.02	15%	21 Aug →
office	5–13	0.03	25%	21 Aug →
dust2	13–11	-0.03	28%	21 Aug →
office	13–10	0.03	20%	21 Aug →
office	5–10	0.15	29%	21 Aug →
dust2	11–13	-0.02	37%	21 Aug →
dust2	8–13	-0.06	41%	21 Aug →