yes i am — CS2 Stats

MG76561198173998442[U:1:213732714]Steam profile ↗✓ No bans

2,180Tracked matches40%Win rate2020Tracked since

CSDB Rating5.9 SolidSupport

Premier CS Rating18,562Purple band · top ~14.2% of ranked players (population est.)

CSDB Leaderboard#105254 of 259897 tracked

FaceitLevel 8 · 1,901 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,562 -3,364 20 Jun – 2 Nov · 14 days played

22,453Peak Premier in tracked matches

1,901Highest Faceit ELO seen on CSDB

32Days played since 2026-06-20

Faceit ELO

At peak — 1,901
Next: Level 10 at 2,001 — 100 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-26
Level 8 first seen 2026-09-26

Premier CS Rating

3,891 below peak (22,453)
-1,948 over 30 days · declining
Next: Pink band at 20,000 — 1,438 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-26
Purple band first seen 2026-09-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

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Performance scores

Aim74

Positioning56

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWWLLWWWLLW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · −34ms reaction

Win rate up 40pp 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

3–2 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 20%
Avg reaction 620ms

Last 10

6–4 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 22%
Avg reaction 600ms

Last 20

8–12 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 22%
Avg reaction 617ms

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 (+2.1 against its own average).

Aim7.4

Utility6.9

Positioning5.6

Opening Duels3.5

Clutch3.4

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 ZywOo 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 618ms 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

Aim7.4

Positioning5.6

Utility6.9

Mechanics6.4

Opening Duels3.7

Win Impact1.7

Composite 5.9/10 (Solid), 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 rating0.02−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time618ms−29ms

first ⅓ avg 647ms → last ⅓ avg 618ms

Headshot accuracy22.8%−0.8%

first ⅓ avg 23.6% → last ⅓ avg 22.8%

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.

Personal bests

0.18Best match rating · 13–10 · inferno, 14 Jul →

38%Best headshot accuracy · 5–13 · cache, 28 Jun →

422msFastest reaction time · 2–13 · anubis, 22 Aug →

13–1Biggest win · cache, 9 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

W2Current streak

7–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 57% over 30ancientWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	30	17–13	57%	0.03
inferno	C	28	12–16	43%	0.02
nuke	B	15	7–8	47%	-0.01
anubis	B	13	6–7	46%	0.01
ancient	D	9	2–7	22%	0.01
mirage	—	3	0–3	0%	-0.01
overpass	—	1	1–0	100%	0.12
dust2	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

548Matches

50%Win rate

1.23Avg K/D

83.8ADR

45%Headshot %

Clutches & streaks

37%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	97	63%	1.45	18.9
Ancient	55	35%	1.06	16.1
Anubis	49	47%	1.13	16.9
Nuke	47	40%	1.16	15.0
Mirage	39	26%	0.98	13.9
Dust2	28	43%	1.10	13.8
Overpass	17	59%	1.11	17.9
Train	12	92%	1.51	20.3

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.

22.9%Headshot accuracy

36.5%Accuracy (enemy spotted)

35.8%Spray accuracy

78.8%Counter-strafing

9.7°Preaim

618msReaction time

39.4%T opening success

50.4%CT opening success

0.62Enemies flashed / flash

11.3%Flash assists

12.21HE damage / grenade

7.59Flashes / 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
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 39.4423% — below the 40% mark we flag

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.

22% win rate across 9 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
cache	13–4	-0.01	12%	2 Nov →
cache	13–4	0.05	27%	25 Oct →
inferno	10–13	0.01	25%	11 Oct →
inferno	4–13	-0.03	23%	11 Oct →
anubis	13–9	-0.02	13%	27 Sept →
nuke	13–11	-0.01	28%	27 Sept →
inferno	16–13	0.05	17%	20 Sept →
ancient	8–13	0.04	25%	13 Sept →
anubis	7–13	-0.01	28%	13 Sept →
inferno	13–11	-0.04	19%	8 Sept →
nuke	13–8	0.02	26%	8 Sept →
cache	11–13	0.00	29%	8 Sept →
inferno	9–13	-0.03	35%	8 Sept →
inferno	13–16	0.02	18%	7 Sept →
anubis	11–13	0.01	20%	7 Sept →
mirage	3–13	-0.02	18%	6 Sept →
cache	11–13	0.01	24%	6 Sept →
inferno	13–3	0.06	17%	6 Sept →
nuke	2–13	-0.09	33%	6 Sept →
ancient	10–13	-0.07	13%	6 Sept →
cache	4–13	0.03	11%	5 Sept →
anubis	9–13	0.02	22%	4 Sept →
cache	9–13	0.06	29%	4 Sept →
cache	6–13	-0.00	35%	4 Sept →
anubis	13–3	0.09	25%	4 Sept →
ancient	13–9	0.10	26%	4 Sept →
anubis	14–16	-0.03	17%	29 Aug →
inferno	16–14	0.06	31%	28 Aug →
inferno	13–10	0.08	24%	28 Aug →
ancient	10–13	-0.05	20%	22 Aug →
anubis	2–13	-0.10	25%	22 Aug →
inferno	13–10	0.18	24%	14 Jul →
anubis	13–9	0.11	15%	14 Jul →
ancient	3–13	-0.00	23%	14 Jul →
inferno	9–13	0.05	21%	14 Jul →
inferno	13–7	0.08	28%	14 Jul →
mirage	7–13	-0.02	28%	14 Jul →
anubis	2–13	0.00	14%	13 Jul →
nuke	9–13	-0.01	26%	13 Jul →
anubis	13–9	-0.03	26%	13 Jul →
cache	13–5	0.01	14%	13 Jul →
nuke	13–3	-0.00	35%	13 Jul →
inferno	10–13	-0.05	5%	13 Jul →
nuke	9–13	-0.02	19%	13 Jul →
inferno	6–13	0.02	13%	13 Jul →
inferno	4–13	-0.04	23%	13 Jul →
anubis	13–5	0.08	17%	13 Jul →
inferno	9–13	0.07	10%	12 Jul →
cache	13–11	0.13	28%	11 Jul →
ancient	11–13	0.09	17%	11 Jul →
nuke	6–13	0.03	31%	10 Jul →
inferno	10–13	0.02	24%	10 Jul →
cache	13–11	0.06	13%	10 Jul →
inferno	7–13	0.02	28%	10 Jul →
anubis	4–13	-0.03	13%	10 Jul →
inferno	14–16	0.01	16%	10 Jul →
cache	12–16	-0.01	20%	10 Jul →
cache	13–10	0.06	33%	10 Jul →
inferno	0–13	-0.07	8%	10 Jul →
ancient	13–11	0.01	14%	10 Jul →
nuke	6–13	-0.02	27%	9 Jul →
cache	13–10	-0.02	23%	9 Jul →
nuke	9–13	-0.02	16%	9 Jul →
cache	13–2	0.09	31%	9 Jul →
cache	13–1	0.09	21%	9 Jul →
cache	13–9	-0.01	26%	7 Jul →
inferno	13–5	0.07	24%	6 Jul →
nuke	8–13	-0.03	24%	6 Jul →
nuke	1–13	-0.09	29%	6 Jul →
inferno	13–8	-0.04	11%	6 Jul →
overpass	13–5	0.12	16%	5 Jul →
inferno	8–13	0.06	27%	5 Jul →
cache	13–2	0.10	14%	5 Jul →
cache	7–13	0.04	27%	5 Jul →
cache	6–13	0.00	18%	5 Jul →
cache	13–10	-0.03	16%	5 Jul →
inferno	12–12	0.04	17%	5 Jul →
cache	10–13	0.02	20%	5 Jul →
nuke	13–6	0.08	27%	3 Jul →
mirage	12–12	0.00	18%	3 Jul →
cache	13–8	0.10	36%	3 Jul →
cache	13–3	0.05	23%	2 Jul →
inferno	13–5	0.03	20%	2 Jul →
nuke	13–4	0.06	12%	2 Jul →
inferno	13–5	0.04	23%	2 Jul →
cache	4–13	-0.09	35%	1 Jul →
cache	13–7	0.14	30%	30 Jun →
cache	6–13	0.09	25%	28 Jun →
cache	5–13	0.00	38%	28 Jun →
cache	13–11	-0.03	34%	28 Jun →
inferno	13–7	0.03	23%	24 Jun →
ancient	9–13	-0.02	27%	24 Jun →
cache	13–10	0.08	22%	22 Jun →
nuke	13–8	-0.04	26%	21 Jun →
dust2	11–13	-0.03	35%	21 Jun →
cache	10–13	0.02	20%	21 Jun →
anubis	16–13	0.09	22%	20 Jun →
inferno	7–13	-0.06	23%	20 Jun →
nuke	13–8	-0.04	19%	20 Jun →
ancient	10–13	0.01	23%	20 Jun →