ᛑ𐌀ᙣ𐌂ᛑ𐌀ᘖ𐌁 — CS2 Stats

76561198302997472[U:1:342731744]Steam profile ↗✓ No bans

1,660Tracked matches48%Win rate2021Tracked since

5,066Hours in CS

CSDB Rating6.5 SolidPositional Player

Premier CS Rating20,366Top 50% of 175,286 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)

CSDB Leaderboard#68247 of 220543 tracked

FaceitLevel 9 · 1,764 ELOTop 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 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.

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. 39 days played since 28 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: 20,366 -50 28 Jul – 17 Sept · 27 days played

Faceit ELO: 1,764 +0 8 Sept – 17 Sept · 2 observations

21,348Peak Premier in tracked matches

1,764Highest Faceit ELO seen on CSDB

39Days played since 2026-07-28

Faceit ELO

At peak — 1,764
Next: Level 10 at 2,001 — 237 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-09-08
Level 8 first seen 2026-09-08

Premier CS Rating

806 below peak (21,172)
+82 over 30 days · steady
Next: Red band at 25,000 — 4,634 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-08
Purple band first seen 2026-09-08

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	30	—	—
Win rate	50%	—	—
K/D	1.34	—	—
Headshot %	50%	—	—

Measured 8 Sep 2026 → 17 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

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 9 among CSDB-tracked players (n=12,569), 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 9 median	Level 10 median	vs Level 10
Headshot rate	44.3%	48.3%	51.0%	6.7% short
Shot accuracy	11.1%	13.2%	13.7%	2.6% short
Kill/death ratio	1.16	1.07	1.09	above
Match win rate	46.5%	46.9%	48.4%	2.0% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim86

Positioning59

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY52–42–6Last 10052%Win rateLWLWLWLWLW

Last 10 vs previous 10: +10pp win rate · −0.08 avg rating · +1.5pp headshot accuracy · −52ms 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

2–3 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 21%
Avg reaction 488ms

Last 10

5–5 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 23%
Avg reaction 501ms

Last 20

9–10–1 · 45% win rate
Avg rating 0.07
Avg headshot accuracy 22%
Avg reaction 527ms

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).

Aim8.6

Utility5.3

Positioning5.9

Opening Duels3.9

Clutch3.2

Sharp aimerStrong 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 NiKo 96% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution.

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 86 — 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.

T-side openings. Opening success drops from 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6

Positioning5.9

Utility5.3

Mechanics6.3

Opening Duels4.7

Win Impact4.4

Composite 6.5/10 (Solid), 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 rating0.05+0.04

first ⅓ avg 0.01 → last ⅓ avg 0.05

Reaction time534ms−37ms

first ⅓ avg 570ms → last ⅓ avg 534ms

Headshot accuracy19.8%−0.4%

first ⅓ avg 20.2% → last ⅓ avg 19.8%

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

0.21Best match rating · 8–5 · boulder, 12 Sept →

50%Best headshot accuracy · 9–3 · inferno, 29 Aug →

367msFastest reaction time · 13–11 · anubis, 28 Aug →

13–1Biggest win · inferno, 18 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

8–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 88% over 8dust2Weakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	20	11–9	55%	0.04
dust2	C	13	5–8	38%	0.02
nuke	A	11	6–5	55%	0.05
cache	B	10	5–5	50%	0.03
ancient	C	10	4–6	40%	0.00
mirage	C	9	4–5	44%	-0.02
anubis	S	8	7–1	88%	0.04
vertigo	S	6	4–2	67%	0.02
train	A	5	3–2	60%	0.01
office	—	3	1–2	33%	0.03
italy	—	2	1–1	50%	0.04
boulder	—	1	0–1	0%	0.21
poseidon	—	1	0–1	0%	-0.00
fachwerk	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

134,952Lifetime kills

1.16K/D · Top 50% of Level 9 players

6,371Matches

46.5%Match win rate

44.3%Headshot %

11.1%Shot accuracy

22,327MVPs

5,066Hours (in match)

7,564Bombs planted

3,062Bombs defused

Most-used weapons

AK-4739,362

M4A4 / M4A1-S24,248

AWP19,022

Desert Eagle9,952

P2000 / USP-S7,515

Glock-186,567

MP93,665

Galil AR2,986

FAMAS2,158

SSG 082,091

Lifetime map wins

15,456inferno

12,269dust2

5,952nuke

3,459vertigo

1,850train

701cbble

531office

277lake

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

Faceit stats

Combat

805Matches

53%Win rate

1.25Avg K/D

80.3ADR

40%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	88	55%	1.26	17.0
Dust2	60	65%	1.29	17.6
Inferno	39	56%	1.21	15.8
Nuke	34	47%	1.23	16.0
Anubis	31	52%	1.21	17.9
Ancient	27	56%	0.95	15.3
Overpass	7	100%	1.33	17.7
Vertigo	6	33%	1.02	18.2

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.

20.5%Headshot accuracy

38.6%Accuracy (enemy spotted)

47.0%Spray accuracy

78.2%Counter-strafing

9.5°Preaim

536msReaction time

40.2%T opening success

57.3%CT opening success

0.48Enemies flashed / flash

6.8%Flash assists

6.85HE damage / grenade

8.61Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4777 — below the 0.5 mark we flag
Grenade Lineups →

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.

38% win rate across 13 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
office	4–13	0.01	35%	17 Sept →
train	13–4	0.01	21%	17 Sept →
inferno	9–13	-0.04	29%	17 Sept →
inferno	9–5	0.07	7%	16 Sept →
nuke	5–9	-0.05	13%	16 Sept →
italy	13–6	0.07	22%	14 Sept →
cache	6–13	0.11	22%	14 Sept →
anubis	13–11	0.03	15%	14 Sept →
ancient	9–13	0.08	33%	14 Sept →
nuke	8–3	-0.00	32%	14 Sept →
italy	6–13	0.02	16%	12 Sept →
boulder	8–5	0.21	28%	12 Sept →
dust2	13–16	0.03	31%	10 Sept →
cache	12–12	0.04	44%	10 Sept →
vertigo	13–10	0.12	24%	7 Sept →
train	13–10	0.02	16%	7 Sept →
nuke	8–13	0.20	14%	7 Sept →
nuke	13–2	0.18	7%	7 Sept →
dust2	8–13	0.07	18%	5 Sept →
anubis	13–5	0.17	14%	5 Sept →
office	12–12	0.04	23%	5 Sept →
nuke	13–8	0.05	14%	5 Sept →
anubis	13–9	0.01	9%	5 Sept →
cache	13–9	0.01	10%	4 Sept →
inferno	13–3	0.05	15%	3 Sept →
ancient	6–13	0.01	12%	2 Sept →
ancient	15–15	-0.01	22%	1 Sept →
inferno	7–13	0.05	13%	1 Sept →
nuke	12–16	0.12	26%	1 Sept →
nuke	13–6	0.04	23%	1 Sept →
mirage	1–8	-0.08	15%	1 Sept →
inferno	4–13	-0.05	7%	1 Sept →
mirage	10–13	-0.02	26%	1 Sept →
mirage	5–13	-0.01	21%	31 Aug →
vertigo	12–12	-0.00	12%	31 Aug →
cache	13–5	0.06	24%	31 Aug →
anubis	13–2	0.16	21%	31 Aug →
inferno	9–3	0.03	50%	29 Aug →
inferno	11–13	0.08	20%	28 Aug →
anubis	13–11	-0.06	24%	28 Aug →
mirage	13–4	0.03	11%	28 Aug →
vertigo	4–9	-0.13	17%	28 Aug →
inferno	8–8	0.07	25%	28 Aug →
dust2	9–13	0.03	15%	28 Aug →
ancient	7–13	-0.01	10%	27 Aug →
ancient	13–11	0.02	12%	26 Aug →
inferno	9–7	0.05	16%	26 Aug →
inferno	9–2	0.17	23%	26 Aug →
poseidon	4–9	-0.00	29%	26 Aug →
inferno	9–2	0.03	40%	26 Aug →
dust2	4–13	-0.02	22%	26 Aug →
ancient	13–11	0.07	23%	26 Aug →
inferno	13–6	0.06	13%	25 Aug →
inferno	16–12	0.09	14%	24 Aug →
nuke	13–9	0.03	17%	24 Aug →
inferno	6–9	-0.02	26%	23 Aug →
inferno	13–10	-0.00	17%	22 Aug →
mirage	13–4	-0.04	15%	21 Aug →
mirage	0–13	-0.05	0%	21 Aug →
inferno	14–16	0.03	16%	20 Aug →
inferno	8–8	0.10	24%	19 Aug →
dust2	5–13	0.03	34%	19 Aug →
dust2	13–2	0.07	14%	19 Aug →
inferno	9–7	-0.19	10%	19 Aug →
nuke	8–13	-0.01	32%	18 Aug →
inferno	13–1	0.06	33%	18 Aug →
cache	1–13	-0.05	40%	18 Aug →
mirage	13–5	-0.00	14%	18 Aug →
cache	13–1	0.08	33%	18 Aug →
ancient	13–9	-0.01	13%	18 Aug →
cache	11–13	-0.01	21%	17 Aug →
ancient	10–13	-0.07	18%	16 Aug →
ancient	13–10	-0.02	22%	13 Aug →
mirage	3–13	-0.06	26%	13 Aug →
train	13–10	0.02	20%	13 Aug →
train	4–13	-0.03	28%	12 Aug →
cache	13–4	0.02	17%	11 Aug →
anubis	13–7	0.05	14%	10 Aug →
fachwerk	13–2	0.07	21%	6 Aug →
dust2	3–13	-0.04	32%	4 Aug →
inferno	11–13	0.08	11%	4 Aug →
dust2	7–13	0.01	25%	3 Aug →
cache	9–13	-0.01	15%	3 Aug →
dust2	13–11	0.06	20%	3 Aug →
vertigo	13–10	0.03	17%	3 Aug →
vertigo	13–8	0.06	26%	2 Aug →
dust2	13–4	0.00	26%	2 Aug →
dust2	13–11	0.03	16%	2 Aug →
vertigo	13–6	0.07	16%	1 Aug →
dust2	7–13	-0.02	17%	1 Aug →
cache	13–7	0.03	14%	31 Jul →
anubis	13–9	0.05	22%	31 Jul →
mirage	13–8	0.06	19%	31 Jul →
ancient	6–13	-0.03	16%	30 Jul →
dust2	13–1	-0.01	39%	30 Jul →
nuke	3–9	-0.12	19%	29 Jul →
nuke	13–9	0.06	16%	28 Jul →
train	6–13	0.02	20%	28 Jul →
anubis	4–13	-0.09	18%	28 Jul →
office	13–5	0.05	15%	28 Jul →