🚬 — CS2 Stats

UA76561198367503476[U:1:407237748]Steam profile ↗✓ No bans

3,481Tracked matches59%Win rate2022Tracked since

2,599Hours in CS

CSDB Rating7.4 StrongPositional Player

Premier CS Rating20,118Top 50% of 180,525 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#71550 of 225404 tracked

FaceitLevel 8 · 1,742 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (7 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 9 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 20,118 +335 13 Aug – 11 Sept · 8 days played

20,118Peak Premier in tracked matches

1,742Highest Faceit ELO seen on CSDB

37Days played since 2026-07-09

Faceit ELO

At peak — 1,742
Next: Level 9 at 1,751 — 9 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-09-04
Level 7 first seen 2026-09-04

Premier CS Rating

At peak — 20,118
+335 over 30 days · steady
Next: Red band at 25,000 — 4,882 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-04
Blue band first seen 2026-09-04

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.

Compare periods

Last 7 days vs previous 7

Metric	Last 7	Previous 7	Change
Matches	7	22	−15
Win rate	29%	55%	−26pp
K/D	1.11	0.99	+0.12
Headshot %	55%	64%	−8pp

Measured 13 Sep 2026 → 18 Sep 2026; previous 4 Sep 2026 → 13 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=13,115), 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 8 median	Level 9 median	vs Level 9
Headshot rate	52.9%	46.8%	48.3%	above
Shot accuracy	7.0%	13.0%	13.2%	6.2% short
Kill/death ratio	0.97	1.06	1.07	0.10 short
Match win rate	35.0%	46.3%	46.9%	11.9% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim88

Positioning69

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWLLLLLWWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.3pp headshot accuracy · −60ms reaction

Win rate 0pp 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

1–4 · 20% win rate
Avg rating 0.01
Avg headshot accuracy 25%
Avg reaction 560ms

Last 10

5–5 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 30%
Avg reaction 576ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 31%
Avg reaction 606ms

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 (+1.3 against its own average).

Aim8.8

Utility5.7

Positioning6.9

Opening Duels4.8

Clutch4.8

Sharp aimer

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 94% playstyle similarity

Most alike: positioning profile, 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 88 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 571ms 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

Aim8.8

Positioning6.9

Utility5.7

Mechanics6.9

Opening Duels5.3

Win Impact7.9

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time572ms−35ms

first ⅓ avg 607ms → last ⅓ avg 572ms

Headshot accuracy30.1%+0.6%

first ⅓ avg 29.4% → last ⅓ avg 30.1%

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

0.20Best match rating · 13–11 · ancient, 2 Sept →

83%Best headshot accuracy · 0–7 · office, 7 Sept →

422msFastest reaction time · 13–2 · anubis, 16 Sept →

13–1Biggest win · anubis, 24 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

4–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

ancientBest map · 77% over 13officeWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	18	11–7	61%	0.03
nuke	C	17	6–11	35%	0.03
anubis	A	16	10–6	63%	0.03
ancient	S	13	10–3	77%	0.07
cache	B	8	4–4	50%	0.03
train	S	6	4–2	67%	0.05
office	D	6	2–4	33%	0.00
inferno	D	6	2–4	33%	0.00
dust2	C	5	2–3	40%	0.02
vertigo	—	4	2–2	50%	0.05
overpass	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Lifetime stats

99,835Lifetime kills

0.97K/D

5,581Matches

35.0%Match win rate

52.9%Headshot % · Top 25% of Level 8 players

7.0%Shot accuracy

9,338MVPs

2,599Hours (in match)

3,067Bombs planted

916Bombs defused

Most-used weapons

AK-4734,826

M4A4 / M4A1-S14,948

AWP9,332

P2000 / USP-S7,818

Desert Eagle7,307

Glock-183,983

Galil AR2,860

MP92,616

SSG 081,663

FAMAS1,563

Lifetime map wins

5,996nuke

5,387inferno

4,435office

2,804dust2

2,166vertigo

1,030train

244cbble

222lake

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

Faceit stats

Combat

508Matches

50%Win rate

1.20Avg K/D

82.5ADR

53%Headshot %

Clutches & streaks

44%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	98	39%	1.16	15.7
Nuke	93	58%	1.31	17.9
Anubis	77	53%	1.12	16.2
Ancient	67	60%	1.29	17.7
Inferno	55	56%	1.19	17.4
Dust2	51	49%	1.09	15.4
Cache	14	29%	1.00	13.8
Overpass	13	46%	1.12	13.3

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.

28.9%Headshot accuracy

36.1%Accuracy (enemy spotted)

42.7%Spray accuracy

81.1%Counter-strafing

9.5°Preaim

571msReaction time

48.9%T opening success

53.1%CT opening success

0.58Enemies flashed / flash

5.7%Flash assists

6.74HE damage / grenade

16.75Flashes / 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.

33% win rate across 6 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
anubis	13–2	0.06	23%	16 Sept →
ancient	6–13	-0.01	26%	16 Sept →
train	11–13	0.01	25%	16 Sept →
anubis	7–13	-0.04	12%	16 Sept →
nuke	9–13	0.03	41%	14 Sept →
office	0–6	-0.08	40%	14 Sept →
mirage	13–8	0.04	41%	14 Sept →
mirage	13–9	0.04	23%	12 Sept →
train	13–7	0.06	25%	12 Sept →
nuke	13–8	0.19	39%	11 Sept →
train	12–12	0.10	38%	11 Sept →
mirage	13–8	0.00	25%	11 Sept →
dust2	13–11	0.02	29%	11 Sept →
ancient	13–2	0.06	33%	11 Sept →
mirage	7–13	0.05	23%	11 Sept →
mirage	8–13	-0.05	15%	10 Sept →
anubis	13–9	-0.02	20%	10 Sept →
office	0–7	-0.07	83%	7 Sept →
nuke	5–13	-0.04	28%	7 Sept →
anubis	13–8	0.01	36%	7 Sept →
ancient	0–13	-0.09	0%	7 Sept →
anubis	10–13	0.12	22%	5 Sept →
office	6–13	0.10	49%	5 Sept →
train	13–4	0.07	17%	4 Sept →
nuke	13–3	0.00	24%	4 Sept →
ancient	13–11	0.04	34%	4 Sept →
mirage	13–6	0.03	38%	4 Sept →
dust2	13–8	0.02	33%	3 Sept →
anubis	13–7	-0.02	31%	3 Sept →
office	13–9	0.06	21%	3 Sept →
dust2	7–13	0.07	38%	2 Sept →
ancient	13–11	0.20	39%	2 Sept →
nuke	10–13	0.02	22%	1 Sept →
inferno	9–13	0.01	33%	1 Sept →
train	13–8	0.04	25%	27 Aug →
mirage	14–16	0.04	32%	24 Aug →
cache	13–8	0.06	25%	24 Aug →
mirage	13–9	0.05	30%	24 Aug →
anubis	13–1	0.08	28%	24 Aug →
mirage	9–13	-0.01	24%	20 Aug →
dust2	2–13	-0.01	27%	16 Aug →
cache	8–13	-0.04	24%	16 Aug →
cache	10–13	0.02	29%	14 Aug →
vertigo	12–12	0.03	26%	14 Aug →
nuke	6–13	0.01	20%	13 Aug →
nuke	1–13	-0.12	26%	13 Aug →
anubis	13–8	0.02	18%	12 Aug →
ancient	13–2	0.11	26%	12 Aug →
nuke	13–1	0.09	30%	12 Aug →
nuke	13–9	-0.03	18%	12 Aug →
train	13–2	0.02	16%	12 Aug →
mirage	13–4	0.02	26%	11 Aug →
cache	8–13	-0.02	37%	11 Aug →
anubis	13–7	0.01	42%	11 Aug →
mirage	13–6	0.12	34%	10 Aug →
ancient	13–3	0.03	40%	10 Aug →
nuke	10–13	0.09	34%	10 Aug →
vertigo	13–8	-0.01	28%	10 Aug →
cache	13–8	0.10	39%	9 Aug →
mirage	7–13	0.01	37%	9 Aug →
nuke	13–3	0.02	3%	9 Aug →
anubis	7–13	0.00	19%	7 Aug →
nuke	6–13	0.09	44%	7 Aug →
ancient	13–2	0.15	30%	6 Aug →
anubis	13–5	0.08	34%	6 Aug →
vertigo	7–13	0.16	23%	6 Aug →
overpass	6–13	0.00	36%	6 Aug →
mirage	13–2	0.09	25%	2 Aug →
ancient	13–5	0.12	19%	2 Aug →
inferno	13–7	0.02	24%	1 Aug →
cache	13–3	0.04	30%	1 Aug →
dust2	6–13	-0.01	26%	1 Aug →
mirage	13–7	0.06	21%	1 Aug →
vertigo	13–8	0.03	42%	31 Jul →
cache	3–13	-0.05	26%	31 Jul →
inferno	13–3	0.04	35%	27 Jul →
mirage	7–13	0.02	37%	27 Jul →
inferno	7–13	0.02	21%	26 Jul →
anubis	13–7	0.07	26%	26 Jul →
ancient	6–13	0.12	26%	26 Jul →
mirage	13–5	0.03	21%	25 Jul →
cache	13–3	0.13	43%	25 Jul →
anubis	13–7	0.10	32%	22 Jul →
anubis	6–13	0.04	23%	22 Jul →
anubis	8–13	0.03	32%	22 Jul →
mirage	13–1	0.01	31%	22 Jul →
nuke	6–13	0.15	27%	22 Jul →
nuke	11–13	-0.01	36%	21 Jul →
ancient	13–4	0.11	27%	21 Jul →
nuke	13–6	0.01	29%	21 Jul →
ancient	16–14	0.03	19%	21 Jul →
inferno	6–13	0.02	32%	19 Jul →
mirage	11–13	0.00	32%	17 Jul →
inferno	0–13	-0.09	50%	14 Jul →
office	13–8	0.01	45%	14 Jul →
office	2–13	0.00	40%	14 Jul →
anubis	12–12	-0.01	7%	12 Jul →
ancient	13–4	0.06	31%	11 Jul →
nuke	6–13	0.01	36%	11 Jul →
nuke	6–13	-0.07	21%	9 Jul →