aTTiLa — CS2 Stats

DE76561198015090329[U:1:54824601]Steam profile ↗✓ No bans

417Tracked matches41%Win rate2020Tracked since

1,796Hours in CS15Hrs last 2 wks

CSDB Rating5.3 DevelopingPositional Player

CSDB Leaderboard#169542 of 259041 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

+59Tracked matches · now 417

−9.3ppWin rate · 50.0% → 40.7%

Rating over time

Premier CS Rating: 12,592 +1,745 31 Mar – 6 Sept · 10 days played

12,746Peak Premier in tracked matches

38Days played since 2026-03-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim67

Positioning64

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateTLWLLLWLWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −1.3pp headshot accuracy · −50ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–3–1 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 13%
Avg reaction 606ms

Last 10

4–5–1 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 13%
Avg reaction 582ms

Last 20

7–11–2 · 35% win rate
Avg rating -0.00
Avg headshot accuracy 14%
Avg reaction 607ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim6.7

Utility4.4

Positioning6.4

Opening Duels3.7

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like m0NESY 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 599ms 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

Aim6.7

Positioning6.4

Utility4.4

Mechanics4.8

Opening Duels4.5

Win Impact1.9

Composite 5.3/10 (Developing), 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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time614ms−61ms

first ⅓ avg 675ms → last ⅓ avg 614ms

Headshot accuracy13.9%−4.6%

first ⅓ avg 18.5% → last ⅓ avg 13.9%

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.

Personal bests

0.18Best match rating · 13–2 · anubis, 20 Sept →

37%Best headshot accuracy · 13–4 · office, 2 Apr →

422msFastest reaction time · 5–13 · office, 5 Oct →

13–1Biggest win · office, 20 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 58% over 12ancientWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
office	C	37	15–22	41%	0.00
inferno	A	14	8–6	57%	0.01
dust2	A	12	7–5	58%	0.02
cache	C	11	4–7	36%	-0.01
nuke	B	8	4–4	50%	0.01
mirage	D	7	2–5	29%	-0.01
ancient	D	5	0–5	0%	-0.02
overpass	—	3	2–1	67%	0.02
vertigo	—	2	0–2	0%	0.04
anubis	—	1	1–0	100%	0.18

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,833Lifetime kills

1.18K/D · Top 25% of tracked players

2,640Matches

40.9%Match win rate

37.0%Headshot %

19.9%Shot accuracy · Top 5% of tracked players

5,335MVPs

900Hours (in match)

2,708Bombs planted

434Bombs defused

Most-used weapons

AK-4713,225

M4A4 / M4A1-S12,474

MP74,028

AWP2,585

P2000 / USP-S2,454

Galil AR2,106

Glock-182,007

FAMAS1,946

P2501,437

P901,367

Lifetime map wins

3,912inferno

3,124nuke

2,657dust2

1,451office

796train

422cbble

217vertigo

123italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

14.3%Headshot accuracy

39.2%Accuracy (enemy spotted)

41.3%Spray accuracy

71.8%Counter-strafing

10.1°Preaim

599msReaction time

43.8%T opening success

51.8%CT opening success

0.65Enemies flashed / flash

1.7%Flash assists

8.54HE damage / grenade

3.46Flashes / 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.

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 14.3222% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.4559 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	12–12	0.02	17%	31 Oct →
office	10–13	-0.05	17%	30 Oct →
inferno	13–9	0.04	9%	26 Oct →
mirage	5–13	-0.07	13%	26 Oct →
nuke	11–13	-0.02	8%	26 Oct →
office	11–13	-0.03	14%	24 Oct →
office	13–9	0.04	18%	24 Oct →
office	1–13	0.02	19%	24 Oct →
nuke	13–11	0.04	9%	24 Oct →
office	13–9	-0.00	10%	24 Oct →
cache	9–13	-0.01	9%	23 Oct →
mirage	4–4	-0.05	8%	23 Oct →
office	13–10	-0.07	17%	23 Oct →
office	10–13	0.02	9%	21 Oct →
mirage	7–13	0.05	20%	17 Oct →
nuke	7–13	0.06	19%	17 Oct →
office	12–12	0.01	13%	17 Oct →
office	13–11	-0.02	16%	12 Oct →
office	6–13	-0.01	17%	12 Oct →
mirage	7–13	-0.03	18%	10 Oct →
cache	12–12	0.03	9%	10 Oct →
dust2	5–13	-0.04	13%	10 Oct →
dust2	11–13	0.11	22%	10 Oct →
office	6–13	-0.06	14%	10 Oct →
office	10–13	0.08	18%	9 Oct →
cache	4–13	-0.03	14%	9 Oct →
dust2	13–10	0.03	15%	9 Oct →
inferno	13–7	0.06	11%	9 Oct →
nuke	13–6	-0.00	22%	9 Oct →
mirage	13–3	0.11	12%	9 Oct →
cache	0–9	-0.10	0%	9 Oct →
cache	13–7	0.06	13%	8 Oct →
office	13–3	0.11	15%	7 Oct →
dust2	5–13	-0.02	7%	7 Oct →
office	11–13	0.02	6%	6 Oct →
office	13–10	0.04	13%	6 Oct →
inferno	6–13	0.00	18%	6 Oct →
office	13–9	-0.00	27%	5 Oct →
vertigo	7–13	0.03	15%	5 Oct →
cache	13–6	0.03	13%	5 Oct →
inferno	5–13	-0.06	13%	5 Oct →
nuke	11–13	0.01	7%	5 Oct →
office	5–13	0.02	21%	5 Oct →
inferno	9–13	-0.03	18%	5 Oct →
office	10–13	0.01	18%	4 Oct →
office	10–13	-0.04	32%	4 Oct →
office	12–12	0.01	22%	3 Oct →
office	13–2	0.14	23%	3 Oct →
office	6–13	-0.03	28%	3 Oct →
ancient	5–13	-0.09	0%	26 Sept →
ancient	8–13	0.04	21%	20 Sept →
overpass	12–6	0.03	25%	20 Sept →
anubis	13–2	0.18	17%	20 Sept →
ancient	6–13	0.01	21%	20 Sept →
office	13–1	0.02	30%	20 Sept →
overpass	6–13	0.00	4%	18 Sept →
dust2	7–4	0.10	12%	18 Sept →
cache	13–8	0.03	19%	18 Sept →
nuke	6–13	0.01	21%	18 Sept →
office	9–13	-0.09	11%	1 Sept →
office	13–11	-0.03	19%	1 Sept →
office	3–13	-0.08	12%	24 Aug →
office	6–13	-0.07	11%	24 Aug →
office	13–9	0.10	23%	17 Aug →
office	13–4	0.01	12%	17 Aug →
office	11–13	-0.00	17%	18 Jun →
dust2	13–6	0.04	14%	18 May →
cache	8–13	-0.04	10%	7 May →
cache	1–13	-0.01	21%	1 May →
cache	8–13	-0.05	24%	1 May →
cache	13–9	-0.00	8%	30 Apr →
office	6–13	0.04	18%	21 Apr →
office	4–13	-0.04	10%	21 Apr →
inferno	13–11	-0.02	19%	20 Apr →
overpass	16–14	0.04	21%	20 Apr →
office	9–13	-0.01	15%	18 Apr →
office	13–10	0.01	17%	18 Apr →
inferno	16–14	-0.03	16%	17 Apr →
inferno	3–9	-0.11	22%	17 Apr →
vertigo	8–8	0.05	14%	17 Apr →
inferno	8–8	0.14	16%	17 Apr →
inferno	13–10	0.00	13%	17 Apr →
nuke	13–11	0.03	10%	16 Apr →
dust2	13–9	0.04	21%	16 Apr →
ancient	14–16	-0.01	14%	14 Apr →
mirage	6–13	-0.05	21%	10 Apr →
dust2	10–13	-0.09	24%	10 Apr →
inferno	9–7	0.05	19%	10 Apr →
inferno	9–6	0.07	29%	10 Apr →
inferno	9–6	0.07	23%	10 Apr →
dust2	13–6	0.05	20%	6 Apr →
dust2	13–7	0.00	15%	6 Apr →
dust2	7–13	-0.07	35%	2 Apr →
office	13–4	0.01	37%	2 Apr →
ancient	9–13	-0.03	16%	2 Apr →
office	13–10	-0.06	14%	1 Apr →
inferno	0–6	0.00	12%	1 Apr →
dust2	13–7	0.05	20%	31 Mar →
mirage	10–13	-0.02	18%	31 Mar →
nuke	13–8	-0.02	18%	31 Mar →