𝕾𝖙𝖆𝖌𝖊𝕺𝖜𝖑 — CS2 Stats

DK76561198157018345[U:1:196752617]Steam profile ↗✓ No bans

1,458Tracked matches39%Win rate2020Tracked since

2,950Hours in CS16Hrs last 2 wks

CSDB Rating3.6 LearningPositional Player

Premier CS Rating7,455Light Blue band · top ~67.1% of ranked players (population est.)

CSDB Leaderboard#194198 of 257523 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 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: 7,455 -1,104 6 Aug – 25 Oct · 32 days played

11,333Peak Premier in tracked matches

560Highest Faceit ELO seen on CSDB

37Days played since 2026-07-19

Premier CS Rating

3,546 below peak (11,001)
-1,870 over 30 days · declining
-1,104 over 90 days
Next: Blue band at 10,000 — 2,545 to go
Reached: Blue band · Light Blue band
Light Blue band first seen 2026-09-02

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 Level 2 among CSDB-tracked players (n=6,124), 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 2 median	Level 3 median	vs Level 3
Headshot rate	30.5%	41.3%	41.8%	11.4% short
Shot accuracy	15.7%	12.7%	12.2%	above
Kill/death ratio	1.03	0.95	0.98	above
Match win rate	34.2%	42.6%	43.3%	9.1% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim37

Positioning56

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateWWLLWLWLLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +0.8pp headshot accuracy · +13ms 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

3–2 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 12%
Avg reaction 642ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 667ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 660ms

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 (+1.9 against its own average).

Aim3.7

Utility3.8

Positioning5.6

Opening Duels3.0

Clutch2.6

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 jL 70% 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. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.7

Positioning5.6

Utility3.8

Mechanics3.6

Opening Duels5.4

Win Impact1.4

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time644ms+20ms

first ⅓ avg 625ms → last ⅓ avg 644ms

Headshot accuracy11.9%+0.9%

first ⅓ avg 11.0% → last ⅓ avg 11.9%

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

0.08Best match rating · 13–7 · dust2, 5 Oct →

28%Best headshot accuracy · 1–13 · dust2, 3 Oct →

453msFastest reaction time · 15–15 · nuke, 3 Oct →

13–2Biggest win · cache, 20 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak

W2Current streak

4–11In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cacheBest map · 75% over 8dust2Weakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	29	11–18	38%	0.01
inferno	B	17	9–8	53%	-0.02
anubis	D	17	5–12	29%	-0.01
ancient	C	11	4–7	36%	-0.02
dust2	D	10	1–9	10%	-0.01
mirage	B	8	4–4	50%	-0.02
cache	S	8	6–2	75%	-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

127,866Lifetime kills

1.03K/D · Top 50% of Level 2 players

7,440Matches

34.2%Match win rate

30.5%Headshot %

15.7%Shot accuracy · Top 50% of Level 2 players

8,394MVPs

1,784Hours (in match)

5,734Bombs planted

846Bombs defused

Most-used weapons

AWP11,030

M4A4 / M4A1-S10,656

AK-4710,489

AUG8,419

SG 5537,425

P907,122

P2000 / USP-S5,759

Desert Eagle4,632

MP74,593

XM10143,810

Lifetime map wins

7,370inferno

7,128nuke

2,589dust2

2,409train

1,694vertigo

426lake

388cbble

310ar_shoots

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

Faceit stats

Combat

97Matches

42%Win rate

0.81Avg K/D

68.8ADR

28%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	33%	0.78	11.7
Nuke	2	100%	1.26	14.5
Dust2	1	0%	0.72	18.0
Anubis	1	0%	0.61	11.0
Overpass	1	100%	0.61	11.0

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.

11.7%Headshot accuracy

31.8%Accuracy (enemy spotted)

41.4%Spray accuracy

66.1%Counter-strafing

12.1°Preaim

642msReaction time

56.4%T opening success

47.0%CT opening success

0.50Enemies flashed / flash

2.1%Flash assists

7.24HE damage / grenade

4.95Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1048° — above the 12° mark we flag
Aim Training →
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 11.7397% — below the 15% mark we flag
Aim Training →

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–9	0.02	10%	25 Oct →
mirage	13–6	0.04	10%	25 Oct →
nuke	11–13	0.02	7%	24 Oct →
dust2	5–13	0.02	21%	24 Oct →
inferno	13–11	-0.02	13%	24 Oct →
dust2	9–13	-0.03	17%	18 Oct →
mirage	13–10	-0.07	8%	18 Oct →
dust2	8–13	-0.01	14%	18 Oct →
dust2	5–13	-0.06	13%	18 Oct →
cache	8–13	-0.02	9%	18 Oct →
nuke	10–13	-0.04	14%	18 Oct →
dust2	15–15	0.02	12%	17 Oct →
dust2	7–13	-0.05	8%	17 Oct →
nuke	14–16	-0.04	10%	16 Oct →
ancient	14–16	0.01	12%	16 Oct →
mirage	13–10	-0.02	9%	16 Oct →
nuke	13–7	0.04	12%	15 Oct →
dust2	9–13	-0.01	17%	15 Oct →
dust2	13–16	-0.02	12%	15 Oct →
ancient	16–14	-0.02	9%	11 Oct →
anubis	9–13	-0.03	15%	11 Oct →
cache	13–8	-0.02	13%	11 Oct →
nuke	9–13	0.02	14%	11 Oct →
nuke	11–13	0.05	9%	10 Oct →
nuke	11–13	0.04	13%	9 Oct →
nuke	13–9	-0.02	6%	9 Oct →
dust2	13–7	0.08	12%	5 Oct →
nuke	13–5	-0.00	8%	3 Oct →
mirage	15–15	-0.02	20%	3 Oct →
mirage	11–13	0.04	6%	3 Oct →
dust2	1–13	-0.02	28%	3 Oct →
nuke	15–15	0.03	13%	3 Oct →
nuke	3–13	-0.04	0%	1 Oct →
anubis	13–16	0.02	10%	28 Sept →
nuke	10–13	-0.08	8%	25 Sept →
nuke	8–13	-0.03	11%	23 Sept →
nuke	11–13	0.00	3%	23 Sept →
anubis	6–13	-0.06	8%	23 Sept →
mirage	11–13	0.01	4%	23 Sept →
anubis	8–13	-0.03	3%	21 Sept →
inferno	6–13	-0.02	7%	21 Sept →
nuke	13–9	0.05	10%	21 Sept →
inferno	13–9	0.03	9%	20 Sept →
anubis	13–11	-0.01	8%	20 Sept →
cache	13–2	-0.05	9%	20 Sept →
cache	13–10	-0.04	10%	20 Sept →
anubis	13–9	0.01	14%	16 Sept →
anubis	13–6	0.03	11%	14 Sept →
mirage	13–6	-0.03	16%	13 Sept →
cache	13–6	-0.06	17%	13 Sept →
anubis	10–13	-0.05	4%	13 Sept →
inferno	13–5	-0.01	8%	13 Sept →
ancient	5–13	-0.00	11%	13 Sept →
nuke	13–8	0.02	9%	12 Sept →
inferno	6–13	-0.05	9%	12 Sept →
nuke	15–15	0.05	8%	11 Sept →
cache	8–13	-0.05	12%	11 Sept →
ancient	2–13	-0.06	13%	11 Sept →
ancient	7–13	-0.05	18%	11 Sept →
mirage	10–13	-0.09	18%	11 Sept →
nuke	13–9	0.01	7%	10 Sept →
inferno	13–10	-0.02	10%	10 Sept →
anubis	13–4	0.04	8%	6 Sept →
inferno	11–13	-0.01	8%	6 Sept →
anubis	10–13	-0.01	5%	5 Sept →
inferno	13–8	-0.00	6%	4 Sept →
ancient	13–10	0.06	10%	4 Sept →
anubis	9–13	-0.05	13%	4 Sept →
inferno	16–14	0.05	16%	4 Sept →
nuke	7–13	0.01	9%	21 Aug →
nuke	13–4	-0.00	7%	21 Aug →
inferno	10–13	-0.04	11%	15 Aug →
nuke	13–8	-0.02	10%	15 Aug →
anubis	10–13	0.01	13%	15 Aug →
inferno	11–13	-0.06	14%	15 Aug →
anubis	4–13	-0.05	7%	8 Aug →
ancient	13–5	-0.08	12%	7 Aug →
anubis	6–13	-0.04	7%	6 Aug →
cache	13–8	0.02	13%	6 Aug →
inferno	6–13	-0.06	9%	28 Jul →
ancient	7–13	-0.05	8%	28 Jul →
cache	13–3	0.02	10%	28 Jul →
nuke	13–3	0.06	10%	28 Jul →
anubis	13–10	0.02	7%	28 Jul →
inferno	13–5	-0.03	13%	28 Jul →
ancient	13–9	-0.01	7%	27 Jul →
anubis	10–13	-0.02	10%	27 Jul →
nuke	4–13	-0.03	13%	27 Jul →
nuke	4–13	-0.05	17%	26 Jul →
inferno	16–13	-0.02	9%	26 Jul →
anubis	10–13	0.02	15%	25 Jul →
nuke	14–16	-0.02	8%	25 Jul →
nuke	9–13	0.06	8%	25 Jul →
ancient	6–13	-0.04	10%	23 Jul →
inferno	10–13	-0.02	19%	23 Jul →
nuke	16–13	-0.01	16%	23 Jul →
inferno	13–7	-0.02	9%	23 Jul →
inferno	3–13	0.01	17%	23 Jul →
nuke	12–16	0.08	9%	19 Jul →
ancient	8–13	-0.00	11%	19 Jul →