dirty — CS2 Stats

AU76561199066965414[U:1:1106699686]Steam profile ↗

1,624Tracked matches44%Win rate2020Tracked since

CSDB Rating3.7 Learning

Premier CS Rating10,975Blue band · top ~49.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning36

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY39–54–7Last 10039%Win rateTWLLWWLWLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim3.9

Aggression3.0

Utility4.9

Positioning3.6

Opening Duels0.0

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 70% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 684ms 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

Aim3.9

Positioning3.6

Utility4.9

Mechanics6.3

Opening Duels0.4

Win Impact3.1

Composite 3.7/10 (Learning), 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 rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time683ms+12ms

first ⅓ avg 671ms → last ⅓ avg 683ms

Headshot accuracy13.8%+1.7%

first ⅓ avg 12.1% → last ⅓ avg 13.8%

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

0.09Best rating — dust2 13–2

13–2Biggest win — dust2

4Longest win streak

6–0In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 59% over 39infernoWeakest map · 0% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	39	23–16	59%	-0.00
mirage	C	16	6–10	38%	-0.02
cache	C	13	5–8	38%	-0.01
inferno	D	11	0–11	0%	-0.01
vertigo	D	6	2–4	33%	-0.06
ancient	D	5	0–5	0%	-0.03
anubis	—	4	1–3	25%	0.00
nuke	—	3	2–1	67%	-0.02
overpass	—	2	0–2	0%	-0.02
boulder	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches

14%Win rate

0.45Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	2	50%	0.46	7.0
Vertigo	2	0%	0.32	5.5

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.

13.1%Headshot accuracy

34.0%Accuracy (enemy spotted)

33.5%Spray accuracy

78.4%Counter-strafing

12.9°Preaim

684msReaction time

24.4%T opening success

32.8%CT opening success

0.46Enemies flashed / flash

5.9%Flash assists

10.62HE damage / grenade

7.14Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.9442° — above the 12° mark we flag
Aim Training →
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 13.1226% — 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 0.458 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

0% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	12–12	-0.04	7%	29 Aug →
mirage	13–8	0.03	10%	26 Aug →
cache	6–13	-0.07	10%	26 Aug →
ancient	5–13	-0.05	5%	23 Aug →
dust2	13–6	-0.01	16%	22 Aug →
mirage	13–5	-0.01	8%	21 Aug →
inferno	7–13	0.03	15%	20 Aug →
dust2	13–8	0.05	27%	18 Aug →
dust2	7–13	-0.08	17%	14 Aug →
mirage	7–13	-0.06	6%	13 Aug →
dust2	13–4	0.04	17%	13 Aug →
dust2	13–4	0.02	16%	12 Aug →
dust2	13–2	0.05	12%	12 Aug →
dust2	13–2	0.02	19%	12 Aug →
vertigo	3–13	-0.09	27%	12 Aug →
dust2	8–13	0.03	13%	9 Aug →
dust2	7–13	-0.01	15%	8 Aug →
anubis	13–9	0.01	22%	8 Aug →
nuke	13–9	-0.01	17%	5 Aug →
ancient	8–13	0.05	10%	2 Aug →
cache	13–16	-0.01	10%	2 Aug →
anubis	7–13	0.00	11%	1 Aug →
mirage	15–15	-0.03	11%	1 Aug →
vertigo	13–11	-0.05	15%	1 Aug →
vertigo	5–13	-0.05	14%	1 Aug →
mirage	15–15	-0.04	10%	1 Aug →
dust2	5–13	0.00	11%	29 Jul →
dust2	13–9	-0.03	12%	29 Jul →
dust2	10–13	-0.00	3%	27 Jul →
dust2	5–13	-0.03	16%	27 Jul →
inferno	15–15	0.01	21%	26 Jul →
dust2	13–8	-0.02	8%	26 Jul →
inferno	15–15	0.02	25%	25 Jul →
inferno	7–13	-0.03	13%	25 Jul →
anubis	5–13	0.02	14%	25 Jul →
cache	0–13	-0.08	8%	25 Jul →
boulder	4–13	-0.07	11%	25 Jul →
dust2	10–13	0.05	11%	22 Jul →
vertigo	2–13	-0.05	11%	22 Jul →
dust2	12–12	0.05	7%	22 Jul →
cache	3–13	-0.06	23%	22 Jul →
inferno	8–13	-0.03	11%	21 Jul →
dust2	3–13	-0.06	11%	20 Jul →
ancient	7–13	-0.01	22%	19 Jul →
dust2	13–9	-0.06	13%	19 Jul →
dust2	13–9	0.04	10%	19 Jul →
mirage	2–13	-0.04	11%	19 Jul →
dust2	13–7	0.05	17%	19 Jul →
mirage	13–6	0.01	17%	17 Jul →
dust2	13–5	-0.03	26%	17 Jul →
dust2	13–5	0.04	15%	17 Jul →
mirage	10–13	-0.03	9%	17 Jul →
cache	3–13	0.00	30%	17 Jul →
nuke	13–10	0.00	10%	4 Jul →
mirage	9–13	-0.05	7%	4 Jul →
dust2	13–7	0.05	11%	4 Jul →
inferno	4–13	-0.06	0%	4 Jul →
dust2	13–5	0.05	6%	2 Jul →
cache	13–3	0.07	14%	30 Jun →
dust2	7–13	-0.06	17%	30 Jun →
cache	13–7	0.03	16%	30 Jun →
mirage	13–9	0.02	12%	30 Jun →
cache	13–11	0.07	11%	29 Jun →
overpass	7–13	-0.01	11%	29 Jun →
cache	9–13	-0.01	6%	28 Jun →
inferno	12–12	0.02	23%	28 Jun →
dust2	13–9	-0.02	13%	28 Jun →
dust2	9–13	-0.01	10%	28 Jun →
dust2	9–13	-0.03	14%	28 Jun →
dust2	9–13	-0.07	11%	28 Jun →
mirage	13–9	0.08	11%	28 Jun →
mirage	6–13	-0.09	10%	27 Jun →
dust2	3–0	0.02	0%	27 Jun →
ancient	2–13	-0.07	13%	27 Jun →
dust2	4–13	-0.02	13%	27 Jun →
dust2	1–13	-0.10	18%	27 Jun →
overpass	9–13	-0.02	8%	26 Jun →
cache	10–13	-0.04	15%	26 Jun →
mirage	7–13	-0.02	15%	25 Jun →
nuke	6–13	-0.04	5%	25 Jun →
dust2	13–2	0.09	24%	7 Jun →
dust2	13–7	-0.05	13%	7 Jun →
vertigo	8–13	-0.07	5%	7 Jun →
dust2	13–7	0.04	16%	6 Jun →
cache	13–11	0.00	15%	6 Jun →
inferno	5–13	-0.03	6%	6 Jun →
mirage	0–13	-0.02	20%	6 Jun →
cache	13–2	0.02	18%	6 Jun →
cache	5–13	-0.01	14%	6 Jun →
dust2	13–10	0.04	15%	4 Jun →
dust2	13–11	-0.01	10%	4 Jun →
inferno	7–13	-0.06	7%	3 Jun →
inferno	9–13	-0.03	11%	2 Jun →
dust2	9–13	-0.03	14%	1 Jun →
dust2	13–3	-0.03	20%	1 Jun →
vertigo	13–11	-0.02	12%	31 May →
mirage	13–11	-0.03	12%	31 May →
anubis	6–13	-0.03	8%	31 May →
ancient	5–13	-0.07	3%	31 May →
inferno	9–13	0.03	13%	30 May →