𝕵𝖝𝖘𝖙𝖎𝖎𝖈𝖊 — CS2 Stats

DE76561198134410624[U:1:174144896]Steam profile ↗VAC banned

1,153Tracked matches57%Win rate2022Tracked since

999Hours in CS

CSDB Rating5.6 SolidSupport

Premier CS Rating19,899Top 50% of 212,133 CSDB-tracked playersPurple band · top ~8.9% of ranked players (population est.)

CSDB Leaderboard#86732 of 259048 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (3 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: 19,899 -2,280 28 Aug – 28 Oct · 13 days played

22,179Peak Premier in tracked matches

25Days played since 2026-08-28

Premier CS Rating

2,280 below peak (22,179)
-1,284 over 30 days · declining
Next: Pink band at 20,000 — 101 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-17
Purple band first seen 2026-09-17

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

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 median	Level 7 median	vs Level 7
Headshot rate	45.5%	44.8%	45.7%	meets
Shot accuracy	13.3%	12.4%	12.7%	above
Kill/death ratio	1.19	1.03	1.05	above
Match win rate	48.4%	45.2%	45.7%	above

Across every metric we can compare, this profile already matches the typical Level 7 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim64

Positioning52

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLWLWWLWWLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +0.8pp headshot accuracy · −37ms reaction

Win rate down 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

3–2 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 527ms

Last 10

5–5 · 50% win rate
Avg rating -0.03
Avg headshot accuracy 13%
Avg reaction 565ms

Last 20

13–7 · 65% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 583ms

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 (+2.8 against its own average).

Aim6.4

Utility6.8

Positioning5.2

Opening Duels1.0

Clutch2.8

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 b1t 72% 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. 573ms 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

Aim6.4

Positioning5.2

Utility6.8

Mechanics4.7

Opening Duels1.8

Win Impact7.2

Composite 5.6/10 (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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time571ms−14ms

first ⅓ avg 586ms → last ⅓ avg 571ms

Headshot accuracy15.4%−2.8%

first ⅓ avg 18.2% → last ⅓ avg 15.4%

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 · 13–11 · cache, 2 Sept →

38%Best headshot accuracy · 13–7 · cache, 20 Sept →

406msFastest reaction time · 10–8 · dust2, 17 Sept →

13–2Biggest win · mirage, 3 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

6–9In matches decided by ≤2 rounds

15Overtime games

Map breakdown

cacheBest map · 71% over 14infernoWeakest map · 36% over 25

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	19–12	61%	-0.00
inferno	C	25	9–16	36%	-0.01
nuke	C	14	5–9	36%	-0.02
cache	S	14	10–4	71%	-0.00
mirage	C	12	5–7	42%	-0.01
anubis	—	2	1–1	50%	-0.00
ancient	—	1	0–1	0%	-0.00
vertigo	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,710Lifetime kills

1.19K/D · Top 25% of Level 6 players

2,658Matches

48.4%Match win rate · Top 25% of Level 6 players

45.5%Headshot % · Top 50% of Level 6 players

13.3%Shot accuracy · Top 50% of Level 6 players

6,980MVPs

999Hours (in match)

2,765Bombs planted

666Bombs defused

Most-used weapons

AK-4716,976

M4A4 / M4A1-S9,514

AWP3,568

Desert Eagle3,437

P2000 / USP-S3,020

Glock-182,185

SSG 081,314

Five-SeveN985

FAMAS948

P250893

Lifetime map wins

4,425inferno

4,375dust2

2,032nuke

707cbble

376train

216office

148lake

134safehouse

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

Faceit stats

Combat

84Matches

57%Win rate

0.99Avg K/D

73.4ADR

46%Headshot %

Clutches & streaks

34%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	29	59%	1.09	14.6
Inferno	21	48%	0.87	13.8
Cache	13	77%	0.91	12.6
Nuke	12	67%	1.11	17.1
Mirage	5	40%	0.86	11.6
Anubis	2	50%	1.02	21.0
Vertigo	1	0%	0.67	12.0
Ancient	1	0%	0.81	13.0

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.

14.7%Headshot accuracy

35.1%Accuracy (enemy spotted)

40.0%Spray accuracy

71.1%Counter-strafing

9.4°Preaim

573msReaction time

40.7%T opening success

33.5%CT opening success

0.69Enemies flashed / flash

11.2%Flash assists

12.22HE damage / grenade

9.93Flashes / 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 14.7176% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 33.465% — below the 40% mark we flag

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.

36% win rate across 25 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	11–13	0.01	17%	28 Oct →
mirage	13–8	-0.07	13%	28 Oct →
inferno	10–13	-0.05	13%	28 Oct →
dust2	13–10	-0.05	17%	28 Oct →
nuke	22–18	0.06	21%	22 Oct →
dust2	13–16	-0.02	11%	22 Oct →
dust2	13–5	-0.00	11%	22 Oct →
inferno	16–12	0.01	15%	22 Oct →
dust2	6–13	-0.05	3%	22 Oct →
nuke	10–13	-0.08	12%	22 Oct →
cache	13–11	0.03	16%	22 Oct →
inferno	4–13	-0.04	17%	20 Oct →
nuke	13–4	-0.02	8%	16 Oct →
mirage	13–9	0.03	11%	16 Oct →
dust2	13–8	-0.02	10%	15 Oct →
anubis	19–16	0.03	10%	13 Oct →
inferno	11–13	-0.05	11%	12 Oct →
nuke	13–8	0.06	10%	12 Oct →
cache	13–10	0.00	16%	12 Oct →
dust2	16–14	-0.00	15%	12 Oct →
cache	13–8	-0.03	9%	11 Oct →
dust2	13–8	0.05	17%	11 Oct →
inferno	8–13	-0.07	29%	8 Oct →
cache	14–16	-0.06	13%	8 Oct →
dust2	6–13	-0.02	32%	8 Oct →
mirage	5–13	-0.07	21%	30 Sept →
ancient	9–13	-0.00	12%	30 Sept →
cache	16–14	-0.03	14%	30 Sept →
dust2	9–13	-0.05	21%	24 Sept →
inferno	13–8	-0.05	15%	24 Sept →
inferno	11–13	-0.01	31%	24 Sept →
inferno	9–13	0.01	21%	24 Sept →
dust2	13–10	-0.02	16%	24 Sept →
anubis	6–13	-0.04	12%	24 Sept →
nuke	13–8	-0.02	15%	24 Sept →
dust2	12–12	0.01	25%	23 Sept →
dust2	11–13	0.01	12%	22 Sept →
nuke	13–10	0.06	22%	22 Sept →
cache	13–5	0.00	9%	22 Sept →
dust2	8–13	0.02	20%	22 Sept →
inferno	13–6	-0.02	18%	22 Sept →
dust2	10–13	0.04	26%	20 Sept →
nuke	5–13	-0.12	25%	20 Sept →
cache	13–7	-0.01	38%	20 Sept →
cache	13–4	0.03	18%	20 Sept →
dust2	10–13	0.00	28%	20 Sept →
inferno	9–13	-0.02	28%	20 Sept →
dust2	13–6	-0.06	17%	20 Sept →
inferno	15–15	-0.03	18%	17 Sept →
inferno	13–9	0.05	13%	17 Sept →
dust2	13–3	0.02	13%	17 Sept →
dust2	10–8	0.02	21%	17 Sept →
nuke	13–16	-0.02	17%	17 Sept →
dust2	9–13	-0.05	18%	15 Sept →
mirage	10–13	-0.02	17%	15 Sept →
vertigo	8–13	-0.05	33%	15 Sept →
dust2	13–7	-0.00	20%	15 Sept →
dust2	13–4	-0.01	23%	15 Sept →
inferno	15–15	-0.01	18%	13 Sept →
dust2	8–13	-0.01	13%	13 Sept →
dust2	13–3	0.04	11%	13 Sept →
nuke	14–16	-0.03	15%	13 Sept →
cache	13–7	0.03	27%	13 Sept →
nuke	11–13	0.00	30%	9 Sept →
dust2	13–8	0.01	12%	9 Sept →
inferno	13–10	0.04	20%	9 Sept →
dust2	0–13	-0.07	20%	9 Sept →
inferno	8–13	-0.03	10%	9 Sept →
nuke	4–13	-0.02	18%	9 Sept →
nuke	11–13	-0.03	15%	8 Sept →
mirage	1–13	-0.04	15%	8 Sept →
inferno	13–10	0.01	11%	8 Sept →
dust2	16–12	-0.01	19%	8 Sept →
inferno	13–10	-0.03	12%	8 Sept →
inferno	10–13	0.01	21%	8 Sept →
mirage	13–7	-0.00	12%	7 Sept →
dust2	13–11	0.04	15%	7 Sept →
inferno	15–15	-0.04	25%	6 Sept →
mirage	2–13	0.04	19%	6 Sept →
dust2	13–4	-0.00	28%	6 Sept →
nuke	4–13	-0.02	19%	6 Sept →
mirage	13–9	0.05	11%	6 Sept →
cache	7–13	-0.05	22%	6 Sept →
mirage	3–13	-0.05	8%	6 Sept →
dust2	16–13	0.03	17%	3 Sept →
cache	13–8	-0.03	18%	3 Sept →
dust2	13–10	0.01	20%	3 Sept →
mirage	13–2	-0.04	8%	3 Sept →
inferno	11–13	-0.04	16%	3 Sept →
inferno	16–13	0.01	27%	3 Sept →
inferno	10–13	0.00	17%	3 Sept →
inferno	6–13	-0.01	22%	2 Sept →
cache	13–11	0.09	37%	2 Sept →
inferno	7–1	-0.03	20%	2 Sept →
inferno	7–13	0.00	21%	2 Sept →
nuke	4–13	-0.11	13%	2 Sept →
cache	4–13	0.02	21%	29 Aug →
cache	9–13	-0.02	16%	29 Aug →
dust2	13–7	0.06	25%	28 Aug →
mirage	8–13	-0.01	25%	28 Aug →