ℹ Я ⊕ ҳ 🖤🗿🌱 — CS2 Stats

DE76561198013452913[U:1:53187185]Steam profile ↗✓ No bans

3,682Tracked matches48%Win rate2020Tracked since

8,934Hours in CS57Hrs last 2 wks

CSDB Rating4.7 DevelopingSupport

Premier CS Rating19,447Top 50% of 212,133 CSDB-tracked playersPurple band · top ~10.7% of ranked players (population est.)

CSDB Leaderboard#93296 of 259024 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 19,447 +2,032 12 Oct – 30 Oct · 16 days played

19,562Peak Premier in tracked matches

1,046Highest Faceit ELO seen on CSDB

16Days played since 2026-09-21

Premier CS Rating

13 below peak (19,460)
Next: Pink band at 20,000 — 553 to go
Reached: Purple band · Blue band · Light Blue band

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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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	Level 5 median	Level 6 median	vs Level 6
Headshot rate	29.4%	43.8%	44.8%	15.4% short
Shot accuracy	11.9%	12.0%	12.4%	0.5% short
Kill/death ratio	0.75	1.02	1.03	0.28 short
Match win rate	40.8%	44.7%	45.2%	4.5% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim41

Positioning54

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWWLWWLLLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +4.2pp headshot accuracy · −95ms 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

4–1 · 80% win rate
Avg rating -0.03
Avg headshot accuracy 23%
Avg reaction 550ms

Last 10

6–4 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 21%
Avg reaction 564ms

Last 20

11–9 · 55% win rate
Avg rating -0.03
Avg headshot accuracy 19%
Avg reaction 611ms

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).

Aim4.1

Utility6.8

Positioning5.4

Opening Duels3.8

Clutch3.0

Strong 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 64% 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. 611ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim4.1

Positioning5.4

Utility6.8

Mechanics1.6

Opening Duels7.0

Win Impact4.4

Composite 4.7/10 (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 rating-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time618ms+54ms

first ⅓ avg 564ms → last ⅓ avg 618ms

Headshot accuracy19.9%+4.9%

first ⅓ avg 15.1% → last ⅓ avg 19.9%

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

0.09Best match rating · 13–2 · inferno, 20 Oct →

38%Best headshot accuracy · 4–13 · inferno, 21 Oct →

367msFastest reaction time · 13–11 · inferno, 20 Oct →

13–1Biggest win · dust2, 29 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W2Current streak

12–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 67% over 27ancientWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	27	18–9	67%	-0.01
dust2	C	17	7–10	41%	-0.03
cache	C	17	6–11	35%	-0.04
mirage	D	16	4–12	25%	-0.03
anubis	B	10	5–5	50%	-0.03
nuke	B	8	4–4	50%	-0.03
ancient	D	5	0–5	0%	-0.03

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

125,445Lifetime kills

0.75K/D

7,616Matches

40.8%Match win rate

29.4%Headshot %

11.9%Shot accuracy

12,690MVPs

3,596Hours (in match)

6,812Bombs planted

1,815Bombs defused

Most-used weapons

AWP50,085

M4A4 / M4A1-S14,914

AK-4710,880

P2509,235

P2000 / USP-S6,983

Galil AR4,684

Glock-184,250

Knife3,621

Tec-93,082

MP92,820

Lifetime map wins

32,187inferno

13,332dust2

2,473nuke

1,844train

781vertigo

735cbble

59office

51lake

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

Faceit stats

Combat

3,346Matches

49%Win rate

0.85Avg K/D

73.2ADR

28%Headshot %

Clutches & streaks

35%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	469	54%	0.88	13.6
Anubis	435	50%	0.89	13.9
Dust2	198	51%	0.83	12.8
Ancient	160	44%	0.83	13.1
Train	39	44%	1.03	14.4
Nuke	32	34%	0.81	12.8
Overpass	32	44%	0.85	13.2
Mirage	13	38%	0.80	11.7

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.

19.4%Headshot accuracy

31.5%Accuracy (enemy spotted)

31.6%Spray accuracy

57.2%Counter-strafing

10.2°Preaim

611msReaction time

56.8%T opening success

59.2%CT opening success

0.59Enemies flashed / flash

7.0%Flash assists

10.14HE damage / grenade

17.58Flashes / match

Recommended for you

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
inferno	13–9	-0.00	13%	30 Oct →
dust2	13–11	-0.08	31%	30 Oct →
cache	11–13	-0.04	28%	29 Oct →
dust2	13–1	0.01	21%	29 Oct →
nuke	13–11	-0.03	21%	29 Oct →
mirage	10–13	0.01	14%	29 Oct →
mirage	10–13	-0.04	32%	28 Oct →
cache	8–13	-0.07	32%	27 Oct →
nuke	13–11	-0.08	5%	27 Oct →
cache	13–10	-0.01	15%	27 Oct →
dust2	13–9	-0.06	23%	27 Oct →
nuke	13–6	0.08	11%	27 Oct →
inferno	16–14	-0.01	16%	26 Oct →
inferno	13–4	-0.01	12%	26 Oct →
dust2	13–2	0.00	20%	26 Oct →
cache	5–13	-0.04	24%	26 Oct →
cache	5–13	-0.07	16%	26 Oct →
inferno	5–13	-0.07	17%	26 Oct →
dust2	11–13	-0.00	23%	25 Oct →
inferno	7–13	-0.06	10%	25 Oct →
ancient	11–13	-0.02	18%	25 Oct →
inferno	13–5	0.07	19%	23 Oct →
cache	13–8	-0.03	26%	23 Oct →
cache	15–15	-0.03	16%	22 Oct →
dust2	11–13	-0.00	21%	22 Oct →
nuke	2–13	-0.11	12%	22 Oct →
inferno	13–8	0.04	13%	22 Oct →
mirage	4–13	-0.04	21%	22 Oct →
inferno	4–13	-0.10	38%	21 Oct →
mirage	6–13	0.00	13%	21 Oct →
ancient	3–13	-0.06	32%	21 Oct →
mirage	4–13	-0.11	25%	21 Oct →
inferno	5–13	-0.09	20%	21 Oct →
mirage	13–10	0.00	14%	21 Oct →
cache	4–13	-0.15	11%	21 Oct →
dust2	10–13	-0.00	18%	20 Oct →
inferno	13–11	0.01	10%	20 Oct →
mirage	13–6	0.00	15%	20 Oct →
anubis	13–3	0.03	22%	20 Oct →
ancient	8–13	0.01	20%	20 Oct →
inferno	13–10	0.00	13%	20 Oct →
dust2	6–13	-0.05	13%	20 Oct →
mirage	14–16	-0.02	12%	20 Oct →
inferno	13–2	0.09	16%	20 Oct →
inferno	13–11	-0.01	19%	20 Oct →
inferno	13–10	-0.05	11%	20 Oct →
cache	15–15	-0.06	4%	20 Oct →
inferno	13–5	0.01	27%	20 Oct →
anubis	4–13	-0.07	22%	20 Oct →
nuke	3–13	-0.00	33%	19 Oct →
anubis	9–13	-0.07	8%	19 Oct →
dust2	3–13	-0.12	20%	19 Oct →
inferno	13–3	0.04	13%	19 Oct →
inferno	13–11	-0.00	16%	19 Oct →
anubis	13–11	-0.02	7%	18 Oct →
cache	13–2	0.05	13%	18 Oct →
anubis	13–11	-0.03	19%	18 Oct →
anubis	7–13	-0.01	21%	18 Oct →
mirage	9–13	-0.06	17%	15 Oct →
inferno	13–3	0.01	20%	15 Oct →
nuke	13–8	-0.02	12%	15 Oct →
dust2	13–8	0.06	22%	15 Oct →
dust2	13–9	-0.07	9%	15 Oct →
inferno	13–9	0.01	10%	15 Oct →
dust2	10–13	-0.09	9%	15 Oct →
anubis	13–7	-0.08	9%	15 Oct →
mirage	9–13	-0.02	7%	15 Oct →
ancient	9–13	-0.04	19%	15 Oct →
dust2	5–13	-0.06	22%	14 Oct →
mirage	9–13	0.03	26%	14 Oct →
mirage	4–13	-0.03	9%	14 Oct →
inferno	12–16	-0.03	18%	14 Oct →
inferno	3–13	-0.07	13%	14 Oct →
inferno	15–15	-0.00	15%	14 Oct →
anubis	13–10	-0.00	21%	14 Oct →
nuke	13–16	-0.00	8%	14 Oct →
inferno	13–11	0.03	11%	14 Oct →
cache	13–6	0.01	15%	14 Oct →
mirage	13–5	-0.08	0%	13 Oct →
dust2	8–13	-0.04	14%	13 Oct →
inferno	11–13	-0.04	14%	13 Oct →
cache	4–13	-0.10	17%	13 Oct →
anubis	7–13	-0.05	23%	13 Oct →
inferno	13–8	-0.01	18%	13 Oct →
cache	3–12	-0.01	11%	13 Oct →
mirage	4–13	-0.07	15%	13 Oct →
cache	13–3	0.04	20%	13 Oct →
inferno	15–15	-0.02	16%	13 Oct →
dust2	8–13	-0.02	17%	13 Oct →
anubis	9–13	-0.02	7%	12 Oct →
cache	13–10	-0.05	12%	12 Oct →
dust2	13–11	0.01	11%	12 Oct →
ancient	9–13	-0.05	20%	12 Oct →
mirage	13–8	-0.06	11%	12 Oct →
cache	9–13	-0.05	21%	12 Oct →
dust2	2–13	-0.04	23%	12 Oct →
inferno	13–11	-0.04	13%	12 Oct →
nuke	14–16	-0.05	12%	12 Oct →
mirage	6–13	-0.00	15%	12 Oct →
cache	8–13	-0.08	16%	12 Oct →