D0NL — CS2 Stats

76561198168350601[U:1:208084873]

456Tracked matches48%Win rate2024Tracked since

CSDB Rating3.6 Learning

FaceitLevel 4Top 81.0% of ranked FACEIT players

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

Aim27

Positioning47

Utility44

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateLWLLLLLWWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim2.7

Aggression1.7

Utility4.4

Positioning4.7

Opening Duels0.0

Clutch1.0

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 66% playstyle similarity

Most alike: positioning profile, 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. 622ms 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

Aim2.7

Positioning4.7

Utility4.4

Mechanics5.2

Opening Duels0.0

Win Impact4.4

Composite 3.6/10 (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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time633ms−13ms

first ⅓ avg 646ms → last ⅓ avg 633ms

Headshot accuracy10.5%+1.5%

first ⅓ avg 9.0% → last ⅓ avg 10.5%

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 — cache 13–5

13–2Biggest win — overpass

6Longest win streak

7–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

wardenBest map · 67% over 6vertigoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	16	6–10	38%	-0.02
nuke	D	12	4–8	33%	-0.03
train	C	11	4–7	36%	-0.04
overpass	B	11	5–6	45%	-0.03
inferno	B	10	5–5	50%	-0.03
vertigo	D	9	2–7	22%	-0.03
dust2	D	6	2–4	33%	-0.03
cache	B	6	3–3	50%	0.01
warden	S	6	4–2	67%	-0.05
anubis	A	5	3–2	60%	-0.03
alpine	—	2	0–2	0%	-0.01
stronghold	—	2	1–1	50%	0.05
golden	—	2	2–0	100%	-0.00
palacio	—	2	1–1	50%	-0.08

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches

33%Win rate

0.63Avg K/D

54.6ADR

21%Headshot %

Clutches & streaks

25%1v1 clutch win

75%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	2	0%	0.52	12.5
Dust2	2	0%	0.59	12.0
Ancient	1	100%	1.00	14.0
Train	1	100%	0.58	11.0

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.

10.5%Headshot accuracy

27.5%Accuracy (enemy spotted)

33.5%Spray accuracy

73.4%Counter-strafing

13.3°Preaim

622msReaction time

26.0%T opening success

22.4%CT opening success

0.36Enemies flashed / flash

10.2%Flash assists

8.52HE damage / grenade

2.85Flashes / 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 13.3266° — 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 10.5133% — 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 0.3602 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Vertigo

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	0.00	18%	22 Aug →
ancient	13–9	0.03	5%	22 Aug →
dust2	3–13	-0.05	6%	22 Aug →
nuke	3–13	-0.08	21%	15 Aug →
ancient	8–13	0.01	9%	8 Aug →
train	1–13	-0.08	17%	8 Aug →
dust2	5–13	-0.01	22%	25 Jul →
ancient	16–14	-0.07	6%	21 Jul →
inferno	13–5	0.03	7%	21 Jul →
nuke	8–13	-0.02	6%	21 Jul →
train	13–10	-0.07	15%	5 Jul →
overpass	11–13	-0.02	11%	5 Jul →
vertigo	13–4	-0.01	22%	5 Jul →
cache	13–6	0.06	16%	5 Jul →
inferno	7–4	-0.05	4%	5 Jul →
cache	9–13	-0.00	13%	13 Jun →
vertigo	5–13	-0.02	18%	13 Jun →
overpass	3–13	0.01	7%	13 Jun →
nuke	13–11	0.00	12%	13 Jun →
anubis	3–13	-0.06	4%	6 Jun →
inferno	13–10	-0.03	5%	6 Jun →
train	13–11	0.00	6%	6 Jun →
ancient	6–13	0.01	2%	6 Jun →
ancient	3–13	-0.11	4%	6 Jun →
dust2	0–7	-0.03	0%	6 Jun →
nuke	4–0	0.05	25%	6 Jun →
ancient	13–8	-0.02	8%	30 May →
train	13–4	-0.02	10%	30 May →
warden	13–11	-0.02	11%	30 May →
anubis	12–12	-0.03	13%	30 May →
cache	13–5	0.09	8%	30 May →
overpass	13–9	-0.06	9%	30 May →
overpass	10–13	-0.07	7%	23 May →
cache	12–12	-0.07	15%	23 May →
ancient	13–6	-0.03	11%	16 May →
inferno	12–12	-0.03	19%	16 May →
cache	13–10	0.03	10%	9 May →
anubis	13–4	-0.03	9%	9 May →
vertigo	13–10	0.02	13%	9 May →
vertigo	12–12	-0.08	9%	2 May →
train	4–13	-0.09	10%	2 May →
ancient	9–13	-0.04	6%	2 May →
cache	5–13	-0.06	5%	1 May →
train	10–13	-0.01	19%	18 Apr →
ancient	5–13	0.00	4%	18 Apr →
vertigo	10–13	-0.05	19%	18 Apr →
vertigo	11–13	-0.01	12%	4 Apr →
warden	13–5	-0.09	11%	4 Apr →
overpass	10–13	-0.01	18%	28 Mar →
inferno	13–8	-0.04	3%	28 Mar →
ancient	12–12	-0.02	24%	28 Mar →
nuke	10–13	0.03	13%	28 Mar →
nuke	5–13	-0.05	11%	21 Mar →
overpass	3–13	-0.03	10%	28 Feb →
alpine	3–13	-0.05	12%	28 Feb →
inferno	4–13	-0.07	3%	28 Feb →
warden	13–7	0.04	2%	28 Feb →
overpass	13–2	0.02	5%	21 Feb →
vertigo	6–13	-0.08	4%	21 Feb →
nuke	7–13	-0.05	6%	21 Feb →
train	10–13	0.04	14%	21 Feb →
warden	9–13	-0.11	10%	21 Feb →
dust2	5–2	-0.01	25%	21 Feb →
inferno	8–2	0.02	12%	14 Feb →
ancient	8–13	-0.07	0%	14 Feb →
overpass	13–9	-0.04	9%	14 Feb →
warden	8–13	-0.09	10%	11 Feb →
ancient	13–4	0.02	4%	11 Feb →
train	4–13	-0.05	0%	11 Feb →
anubis	13–9	-0.06	7%	11 Feb →
stronghold	3–13	0.04	10%	7 Feb →
stronghold	13–3	0.06	7%	31 Jan →
ancient	11–13	-0.06	4%	31 Jan →
inferno	4–13	-0.09	6%	31 Jan →
overpass	10–13	0.03	10%	31 Jan →
nuke	10–13	-0.02	2%	31 Jan →
warden	13–10	-0.04	9%	31 Jan →
alpine	6–13	0.02	8%	31 Jan →
golden	13–4	-0.03	5%	17 Jan →
dust2	12–12	-0.06	26%	17 Jan →
inferno	10–13	-0.02	3%	17 Jan →
anubis	13–7	0.04	14%	17 Jan →
nuke	2–13	-0.08	14%	17 Jan →
nuke	5–13	-0.08	6%	8 Jan →
ancient	13–4	0.02	13%	8 Jan →
nuke	13–5	-0.05	16%	8 Jan →
overpass	13–11	-0.07	6%	3 Jan →
dust2	13–9	-0.04	10%	27 Dec →
overpass	16–14	-0.05	12%	27 Dec →
nuke	13–11	0.03	6%	26 Dec →
palacio	6–13	-0.10	17%	20 Dec →
golden	4–0	0.02	10%	20 Dec →
train	10–13	0.04	9%	20 Dec →
ancient	9–13	-0.03	7%	20 Dec →
train	1–13	-0.07	8%	13 Dec →
vertigo	11–13	-0.01	7%	6 Dec →
train	13–10	-0.09	5%	6 Dec →
ancient	2–13	-0.02	8%	29 Nov →
palacio	13–4	-0.06	15%	29 Nov →
vertigo	12–12	-0.04	9%	29 Nov →