𝔸𝔻𝕀 ツ — CS2 Stats

DE76561198271391449[U:1:311125721]Steam profile ↗✓ No bans

1,882Tracked matches53%Win rate2020Tracked since

1,329Hours in CS

CSDB Rating7.2 StrongSupport

Premier CS Rating26,831Top 5% of 212,910 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#7331 of 259645 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,882 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,831 +4,523 15 Jul – 20 Oct · 42 days played

Faceit ELO: 1,804 +0 28 Aug – 20 Oct · 6 observations

26,831Peak Premier in tracked matches

1,804Highest Faceit ELO seen on CSDB

42Days played since 2026-07-15

Faceit ELO

At peak — 1,804
Next: Level 10 at 2,001 — 197 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-28
Level 8 first seen 2026-08-28

Premier CS Rating

At peak — 26,831
+1,083 over 30 days · improving
+3,274 over 90 days
Next: Gold band at 30,000 — 3,169 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Red band median	Gold band median	vs Gold band
Headshot rate	47.9%	49.3%	50.9%	3.0% short
Shot accuracy	9.7%	13.4%	11.8%	2.2% short
Kill/death ratio	0.95	1.12	1.18	0.23 short
Match win rate	46.2%	48.5%	51.9%	5.7% short

This profile sits below the typical Gold band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim85

Positioning64

Utility68

0–100 skill scores via Leetify.

Recent form

HOT53–44–3Last 10053%Win rateWWLWWLWWLW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −0.3pp headshot accuracy · +59ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 22%
Avg reaction 503ms

Last 10

7–3 · 70% win rate
Avg rating 0.01
Avg headshot accuracy 23%
Avg reaction 543ms

Last 20

11–9 · 55% win rate
Avg rating 0.01
Avg headshot accuracy 23%
Avg reaction 514ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim8.5

Utility6.8

Positioning6.4

Opening Duels4.5

Clutch3.6

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.

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 Twistzz 93% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

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

Aim8.5

Positioning6.4

Utility6.8

Mechanics6.1

Opening Duels4.8

Win Impact6.1

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time514ms−47ms

first ⅓ avg 561ms → last ⅓ avg 514ms

Headshot accuracy21.0%+2.3%

first ⅓ avg 18.7% → last ⅓ avg 21.0%

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.

Personal bests

0.15Best match rating · 9–4 · inferno, 12 Aug →

37%Best headshot accuracy · 5–13 · anubis, 1 Sept →

344msFastest reaction time · 7–0 · cache, 13 Sept →

13–0Biggest win · cache, 24 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak

W2Current streak

10–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 42% over 24

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	15–11	58%	-0.00
inferno	C	24	10–14	42%	0.02
ancient	B	23	12–11	52%	0.03
anubis	A	10	6–4	60%	0.01
cache	S	9	6–3	67%	0.01
dust2	B	6	3–3	50%	0.01
nuke	—	2	1–1	50%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,099Lifetime kills

0.95K/D

3,615Matches

46.2%Match win rate

47.9%Headshot %

9.7%Shot accuracy

10,799MVPs

1,329Hours (in match)

2,244Bombs planted

622Bombs defused

Most-used weapons

AK-4719,481

M4A4 / M4A1-S7,815

Desert Eagle5,951

AWP5,655

P2000 / USP-S4,150

Glock-183,102

MP91,775

SSG 081,361

MP71,322

MAC-101,289

Lifetime map wins

6,250inferno

2,730dust2

1,839cbble

1,715nuke

861vertigo

300train

160office

23lake

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

Faceit stats

Combat

302Matches

54%Win rate

1.10Avg K/D

87.3ADR

47%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	77	64%	1.23	17.9
Ancient	32	59%	1.04	16.9
Dust2	31	42%	0.91	15.6
Inferno	26	58%	1.16	15.0
Anubis	20	50%	1.25	19.1
Nuke	10	60%	1.14	15.7
Overpass	6	33%	1.16	23.5
Train	3	33%	1.18	23.0

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.

21.2%Headshot accuracy

36.2%Accuracy (enemy spotted)

45.9%Spray accuracy

77.7%Counter-strafing

8.9°Preaim

527msReaction time

41.8%T opening success

56.7%CT opening success

0.62Enemies flashed / flash

11.5%Flash assists

11.24HE damage / grenade

12.48Flashes / match

Recommended for you

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.

42% win rate across 24 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	13–9	0.04	19%	18 Oct →
mirage	13–6	0.06	20%	18 Oct →
inferno	8–13	-0.03	21%	7 Oct →
dust2	13–11	-0.00	30%	4 Oct →
ancient	13–9	0.08	18%	4 Oct →
ancient	8–13	-0.01	32%	14 Sept →
mirage	13–10	0.01	24%	14 Sept →
inferno	13–6	-0.03	24%	14 Sept →
ancient	9–13	-0.04	19%	13 Sept →
nuke	13–9	0.02	20%	13 Sept →
inferno	5–13	0.04	25%	13 Sept →
cache	7–0	0.05	22%	13 Sept →
ancient	7–13	-0.02	28%	13 Sept →
ancient	10–13	0.04	24%	7 Sept →
mirage	7–13	-0.06	13%	3 Sept →
inferno	4–13	-0.05	23%	1 Sept →
anubis	5–13	-0.02	37%	1 Sept →
mirage	13–7	0.02	31%	1 Sept →
mirage	13–11	0.02	17%	31 Aug →
anubis	13–8	0.04	9%	31 Aug →
ancient	13–11	0.05	22%	29 Aug →
ancient	6–13	-0.02	19%	28 Aug →
mirage	13–10	0.02	10%	27 Aug →
cache	13–10	0.04	20%	27 Aug →
mirage	11–13	-0.04	26%	24 Aug →
inferno	8–8	0.05	16%	24 Aug →
cache	11–13	0.03	23%	23 Aug →
dust2	11–13	0.04	29%	22 Aug →
anubis	13–7	0.01	22%	22 Aug →
anubis	16–14	-0.01	9%	21 Aug →
mirage	6–13	-0.05	9%	21 Aug →
ancient	10–13	0.04	18%	21 Aug →
inferno	5–13	-0.06	17%	21 Aug →
anubis	16–13	0.04	14%	20 Aug →
inferno	13–8	-0.01	16%	17 Aug →
inferno	16–13	0.05	18%	16 Aug →
mirage	13–6	-0.04	16%	16 Aug →
ancient	14–16	0.06	23%	16 Aug →
ancient	13–4	0.11	12%	16 Aug →
mirage	3–13	-0.04	17%	16 Aug →
mirage	8–13	-0.04	12%	16 Aug →
anubis	9–13	-0.05	19%	16 Aug →
inferno	9–6	0.13	26%	15 Aug →
inferno	3–9	-0.02	19%	15 Aug →
inferno	7–9	0.13	19%	15 Aug →
mirage	3–13	-0.09	15%	14 Aug →
inferno	6–13	0.03	20%	13 Aug →
inferno	4–9	0.05	26%	12 Aug →
inferno	9–4	0.15	26%	12 Aug →
inferno	9–1	0.14	21%	12 Aug →
mirage	13–10	-0.00	29%	9 Aug →
mirage	13–11	-0.00	21%	7 Aug →
anubis	13–7	0.04	30%	7 Aug →
inferno	3–13	-0.11	14%	6 Aug →
inferno	13–9	0.03	22%	6 Aug →
inferno	15–15	0.04	15%	5 Aug →
ancient	13–11	0.03	10%	5 Aug →
inferno	4–13	-0.04	14%	4 Aug →
ancient	16–14	-0.01	18%	4 Aug →
ancient	6–13	0.06	17%	4 Aug →
mirage	13–9	0.09	30%	4 Aug →
inferno	11–13	-0.01	16%	3 Aug →
ancient	13–7	-0.02	14%	3 Aug →
mirage	16–12	0.01	20%	2 Aug →
anubis	7–13	-0.04	17%	2 Aug →
mirage	13–9	-0.03	22%	2 Aug →
mirage	13–8	0.01	20%	1 Aug →
cache	9–13	-0.08	23%	31 Jul →
nuke	6–13	-0.09	6%	31 Jul →
dust2	9–13	-0.05	15%	31 Jul →
mirage	13–2	0.09	26%	31 Jul →
mirage	9–13	0.03	20%	30 Jul →
cache	13–16	-0.07	36%	24 Jul →
cache	13–0	0.10	28%	24 Jul →
cache	13–10	0.03	12%	24 Jul →
anubis	13–4	0.07	20%	24 Jul →
ancient	13–9	0.07	24%	24 Jul →
cache	13–8	0.03	27%	24 Jul →
dust2	13–9	0.03	30%	24 Jul →
inferno	10–13	-0.03	26%	23 Jul →
ancient	13–4	0.02	17%	23 Jul →
dust2	6–13	0.03	23%	23 Jul →
ancient	13–1	0.07	22%	23 Jul →
mirage	13–16	-0.01	16%	22 Jul →
ancient	6–13	-0.05	16%	22 Jul →
mirage	3–13	-0.04	10%	22 Jul →
inferno	13–5	0.04	27%	21 Jul →
ancient	13–1	0.11	13%	21 Jul →
inferno	16–13	0.04	24%	21 Jul →
cache	13–8	0.01	17%	20 Jul →
mirage	13–5	-0.03	20%	20 Jul →
ancient	13–11	-0.04	4%	20 Jul →
ancient	13–11	0.03	13%	19 Jul →
dust2	13–11	-0.00	19%	18 Jul →
inferno	9–5	0.01	9%	16 Jul →
anubis	13–16	-0.02	20%	16 Jul →
mirage	6–13	0.02	21%	16 Jul →
ancient	9–13	0.06	11%	15 Jul →
ancient	15–15	0.03	9%	15 Jul →
mirage	2–13	-0.02	15%	15 Jul →