Dru — CS2 Stats

GB76561198127690742[U:1:167425014]Steam profile ↗✓ No bans

165Tracked matches37%Win rate2021Tracked since

CSDB Rating1.4 Learning

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim3

Positioning21

Utility29

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateLWLWLLLLLL

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

Player DNA

Aim0.3

Aggression0.0

Utility2.9

Positioning2.1

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 54% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower 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. 770ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.3

Positioning2.1

Utility2.9

Mechanics2.4

Opening Duels0.0

Win Impact0.6

Composite 1.4/10 (Learning), 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-0.07+0.01

first ⅓ avg -0.09 → last ⅓ avg -0.07

Reaction time763ms−24ms

first ⅓ avg 786ms → last ⅓ avg 763ms

Headshot accuracy10.9%+2.2%

first ⅓ avg 8.7% → last ⅓ avg 10.9%

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

0.02Best rating — vertigo 13–2

13–1Biggest win — ancient

4Longest win streak

9–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 92% over 12infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	19	6–13	32%	-0.08
nuke	S	12	11–1	92%	-0.06
overpass	D	12	4–8	33%	-0.09
ancient	C	12	5–7	42%	-0.06
vertigo	D	12	4–8	33%	-0.07
anubis	C	11	4–7	36%	-0.08
inferno	D	8	2–6	25%	-0.10
cache	D	7	2–5	29%	-0.09
dust2	—	4	2–2	50%	-0.07
thera	—	2	1–1	50%	-0.07
mills	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches

33%Win rate

0.36Avg K/D

—ADR

32%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	2	0%	0.37	6.5
Vertigo	1	0%	0.06	1.0
Mirage	1	0%	0.41	7.0
Ancient	1	100%	0.31	4.0

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.

11.1%Headshot accuracy

21.2%Accuracy (enemy spotted)

22.8%Spray accuracy

60.7%Counter-strafing

15.3°Preaim

770msReaction time

16.4%T opening success

6.4%CT opening success

0.44Enemies flashed / flash

2.7%Flash assists

4.50HE damage / grenade

5.22Flashes / 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 15.2636° — 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 11.0922% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 769.5984ms — above the 700ms mark we flag
Aim Training →

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.

25% win rate across 8 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
cache	9–13	-0.08	12%	8 Aug →
nuke	16–14	-0.08	20%	29 Jul →
mirage	8–13	-0.05	17%	29 Jul →
anubis	13–10	-0.08	20%	29 Jul →
anubis	10–13	-0.08	4%	28 Jul →
overpass	8–13	-0.06	11%	29 May →
ancient	11–13	-0.08	4%	26 May →
anubis	11–13	-0.07	15%	26 May →
nuke	5–13	-0.05	14%	23 May →
overpass	2–13	-0.13	0%	23 May →
dust2	10–13	-0.08	8%	23 May →
mirage	13–9	-0.10	0%	4 May →
cache	6–13	-0.09	10%	4 May →
overpass	5–13	-0.07	25%	20 Mar →
mirage	5–13	-0.07	7%	20 Mar →
inferno	6–13	-0.10	0%	20 Mar →
nuke	13–11	-0.06	4%	15 Mar →
overpass	5–13	-0.07	9%	15 Mar →
ancient	10–13	-0.06	4%	14 Mar →
anubis	13–3	-0.05	20%	14 Mar →
ancient	13–2	-0.02	13%	14 Mar →
mirage	13–9	-0.09	27%	13 Mar →
mirage	7–13	-0.08	13%	12 Mar →
anubis	13–9	-0.05	5%	12 Mar →
mirage	7–13	-0.06	0%	12 Mar →
ancient	13–8	-0.09	17%	12 Mar →
ancient	6–13	-0.09	9%	7 Mar →
dust2	13–7	-0.06	13%	7 Mar →
vertigo	5–13	-0.08	15%	7 Mar →
dust2	13–9	-0.04	14%	14 Sept →
vertigo	12–12	-0.08	5%	13 Sept →
inferno	10–13	-0.09	15%	13 Sept →
thera	13–10	-0.06	8%	13 Sept →
mirage	10–13	-0.05	7%	24 Aug →
vertigo	9–13	-0.08	22%	24 Aug →
nuke	13–9	-0.07	15%	24 Aug →
thera	11–13	-0.07	9%	24 Aug →
ancient	9–13	-0.05	14%	17 Aug →
mirage	13–8	-0.07	17%	14 Aug →
mills	13–11	-0.05	7%	14 Aug →
mirage	8–13	-0.11	6%	14 Aug →
anubis	1–13	-0.11	4%	14 Aug →
nuke	13–10	-0.07	8%	14 Aug →
vertigo	10–13	-0.08	8%	14 Aug →
anubis	13–11	-0.07	12%	17 May →
inferno	13–10	-0.10	7%	17 May →
ancient	13–1	-0.03	10%	17 May →
mirage	13–7	-0.04	5%	17 May →
mirage	12–12	-0.06	10%	17 May →
anubis	8–13	-0.10	8%	17 May →
ancient	13–2	0.00	16%	12 Apr →
inferno	6–13	-0.11	22%	12 Apr →
overpass	6–13	-0.10	8%	12 Apr →
anubis	10–13	-0.09	6%	12 Apr →
vertigo	13–10	-0.05	13%	12 Apr →
inferno	9–4	-0.12	5%	11 Apr →
ancient	8–13	-0.05	14%	11 Apr →
vertigo	13–2	0.02	8%	11 Apr →
vertigo	13–7	-0.03	13%	10 Apr →
mirage	12–12	-0.08	2%	10 Apr →
nuke	13–9	-0.02	16%	10 Apr →
nuke	13–10	-0.06	18%	7 Apr →
vertigo	11–13	-0.11	15%	7 Apr →
mirage	11–13	-0.07	11%	6 Apr →
vertigo	9–13	-0.09	8%	6 Apr →
anubis	3–13	-0.11	17%	6 Apr →
nuke	13–4	-0.06	17%	26 Mar →
vertigo	13–9	-0.04	5%	26 Mar →
ancient	4–13	-0.08	16%	26 Mar →
mirage	3–13	-0.11	27%	26 Mar →
nuke	13–9	-0.07	3%	21 Mar →
nuke	13–4	-0.02	13%	21 Mar →
ancient	13–8	-0.08	9%	4 Mar →
mirage	10–13	-0.06	0%	4 Mar →
overpass	5–13	-0.08	4%	9 Feb →
dust2	3–13	-0.09	15%	9 Feb →
mirage	2–2	-0.15	0%	9 Feb →
overpass	7–13	-0.11	17%	6 Feb →
anubis	4–13	-0.05	13%	6 Feb →
overpass	0–7	-0.11	0%	6 Feb →
vertigo	4–13	-0.07	11%	6 Feb →
overpass	13–5	-0.05	14%	5 Feb →
nuke	13–11	-0.07	0%	6 Sept →
overpass	13–6	-0.09	25%	6 Sept →
vertigo	3–13	-0.12	5%	6 Sept →
inferno	10–13	-0.08	0%	6 Sept →
ancient	5–16	-0.12	0%	21 May →
cache	7–16	-0.13	5%	20 May →
cache	13–16	-0.08	7%	4 May →
inferno	15–15	-0.11	13%	3 May →
cache	6–5	-0.15	17%	3 May →
cache	7–9	-0.07	5%	28 Apr →
overpass	16–11	-0.11	9%	28 Apr →
mirage	15–15	-0.06	9%	6 Mar →
cache	16–9	-0.04	2%	6 Mar →
mirage	16–13	-0.10	5%	5 Mar →
nuke	16–14	-0.05	11%	4 Feb →
overpass	9–7	-0.12	9%	21 Apr →
mirage	4–9	-0.15	17%	21 Apr →
inferno	6–9	-0.06	3%	21 Apr →