bug bug — CS2 Stats

AU76561198018450586[U:1:58184858]Steam profile ↗✓ No bans

1,530Tracked matches52%Win rate2020Tracked since

2,334Hours in CS

CSDB Rating7.0 StrongPositional Player

Premier CS Rating23,183Top 25% of 204,056 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)

CSDB Leaderboard#39764 of 251153 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−837Premier CS Rating · 24,020 → 23,183

Rating over time

Premier CS Rating: 23,183 -3,883 8 Jun – 9 Oct · 28 days played

27,066Peak Premier in tracked matches

34Days played since 2026-06-08

Premier CS Rating

3,883 below peak (27,066)
-3,361 over 30 days · declining
-1,920 over 90 days
Next: Red band at 25,000 — 1,817 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-31
Pink band first seen 2026-08-31

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 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate	48.4%	50.9%
Shot accuracy	14.8%	13.7%
Kill/death ratio	1.31	1.09
Match win rate	48.2%	48.4%

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Performance scores

Aim86

Positioning68

Utility44

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateLLWWWLTLLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +10.0pp headshot accuracy · +54ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.06
Avg headshot accuracy 29%
Avg reaction 580ms

Last 10

3–6–1 · 30% win rate
Avg rating 0.03
Avg headshot accuracy 26%
Avg reaction 559ms

Last 20

9–10–1 · 45% win rate
Avg rating 0.02
Avg headshot accuracy 21%
Avg reaction 533ms

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 (+2 against its own average).

Aim8.6

Utility4.4

Positioning6.8

Opening Duels5.6

Clutch2.6

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 s1mple 90% playstyle similarity

Most alike: opening-duel success, 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.

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

Positioning6.8

Utility4.4

Mechanics6.7

Opening Duels6.6

Win Impact5.6

Composite 7.0/10 (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 time529ms−33ms

first ⅓ avg 562ms → last ⅓ avg 529ms

Headshot accuracy20.8%−4.0%

first ⅓ avg 24.8% → last ⅓ avg 20.8%

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

0.14Best match rating · 8–13 · ancient, 23 Sept →

86%Best headshot accuracy · 13–4 · dust2, 24 Jun →

367msFastest reaction time · 13–1 · ancient, 22 Sept →

13–1Biggest win · nuke, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L2Current streak

7–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 80% over 10anubisWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	14–15	48%	0.03
dust2	B	21	10–11	48%	0.02
ancient	A	14	8–6	57%	0.05
cache	B	10	5–5	50%	0.03
inferno	S	10	8–2	80%	0.04
nuke	A	8	5–3	63%	0.05
anubis	C	7	3–4	43%	0.03
overpass	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,992Lifetime kills

1.31K/D · Top 25% of Level 10 players

5,008Matches

48.2%Match win rate

48.4%Headshot %

14.8%Shot accuracy · Top 50% of Level 10 players

14,363MVPs

2,334Hours (in match)

3,293Bombs planted

1,625Bombs defused

Most-used weapons

AK-4746,874

M4A4 / M4A1-S24,139

AWP15,623

P2000 / USP-S7,911

Desert Eagle5,242

Glock-184,816

P2503,606

Tec-93,495

MAC-102,594

MP92,407

Lifetime map wins

9,795inferno

8,657dust2

3,448nuke

2,363cbble

1,527train

290vertigo

67office

42dust

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

Faceit stats

Combat

54Matches

61%Win rate

1.61Avg K/D

71.7ADR

44%Headshot %

Clutches & streaks

33%1v1 clutch win

12%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	40%	0.79	14.2
Inferno	4	50%	1.21	16.0
Nuke	4	75%	0.80	11.8
Overpass	2	0%	0.54	9.0
Dust2	2	0%	0.80	13.5
Anubis	1	0%	0.83	15.0

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.

20.4%Headshot accuracy

39.4%Accuracy (enemy spotted)

42.3%Spray accuracy

80.1%Counter-strafing

9.4°Preaim

537msReaction time

58.2%T opening success

54.3%CT opening success

0.47Enemies flashed / flash

7.4%Flash assists

6.13HE damage / grenade

7.03Flashes / 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 0.4669 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	0.03	42%	9 Oct →
mirage	9–13	0.03	13%	9 Oct →
cache	13–5	0.13	25%	8 Oct →
mirage	13–6	0.10	16%	8 Oct →
nuke	13–1	0.01	47%	7 Oct →
cache	8–13	-0.04	24%	6 Oct →
dust2	15–15	0.10	19%	5 Oct →
mirage	10–13	-0.03	32%	1 Oct →
mirage	11–13	0.03	17%	1 Oct →
cache	7–13	-0.08	21%	30 Sept →
dust2	13–9	0.00	11%	27 Sept →
anubis	3–13	-0.06	14%	27 Sept →
mirage	0–7	0.01	15%	27 Sept →
inferno	13–9	-0.01	21%	27 Sept →
mirage	10–13	-0.00	10%	26 Sept →
ancient	13–2	0.09	15%	26 Sept →
inferno	13–9	-0.00	21%	26 Sept →
nuke	13–7	0.05	24%	26 Sept →
inferno	14–16	0.04	11%	25 Sept →
mirage	13–8	0.06	13%	25 Sept →
anubis	13–9	0.10	22%	25 Sept →
ancient	13–8	0.08	16%	25 Sept →
dust2	13–3	0.05	12%	25 Sept →
cache	7–13	-0.06	18%	24 Sept →
dust2	12–16	0.06	18%	24 Sept →
mirage	13–10	0.04	22%	24 Sept →
dust2	1–13	-0.03	26%	24 Sept →
mirage	4–13	0.00	28%	24 Sept →
anubis	13–2	0.05	26%	23 Sept →
ancient	13–6	0.03	19%	23 Sept →
inferno	13–7	-0.01	20%	23 Sept →
inferno	13–6	0.05	27%	23 Sept →
ancient	8–13	0.14	20%	23 Sept →
ancient	13–1	0.09	40%	22 Sept →
cache	11–13	0.06	23%	22 Sept →
inferno	5–13	0.06	24%	22 Sept →
dust2	10–13	0.00	15%	22 Sept →
nuke	9–13	-0.01	31%	22 Sept →
dust2	15–15	0.02	24%	22 Sept →
mirage	13–9	0.11	23%	21 Sept →
dust2	0–13	-0.04	38%	21 Sept →
dust2	0–13	-0.07	30%	21 Sept →
dust2	13–11	0.06	22%	21 Sept →
mirage	10–13	-0.01	17%	21 Sept →
mirage	13–8	-0.01	24%	21 Aug →
cache	13–4	0.03	26%	25 Jul →
mirage	13–5	0.05	22%	25 Jul →
inferno	13–2	0.05	15%	25 Jul →
mirage	13–11	0.04	19%	24 Jul →
mirage	15–15	-0.00	30%	24 Jul →
ancient	10–13	0.07	13%	24 Jul →
cache	13–9	0.12	21%	22 Jul →
mirage	13–4	0.07	20%	22 Jul →
nuke	13–3	0.06	30%	22 Jul →
mirage	11–13	-0.01	25%	22 Jul →
inferno	13–11	0.12	26%	19 Jul →
nuke	11–13	0.07	21%	18 Jul →
dust2	13–10	0.05	19%	18 Jul →
inferno	13–11	0.00	18%	17 Jul →
mirage	13–11	0.02	20%	17 Jul →
nuke	13–11	0.03	14%	17 Jul →
ancient	8–13	0.02	22%	16 Jul →
mirage	13–5	0.03	17%	16 Jul →
dust2	16–14	-0.01	20%	16 Jul →
anubis	8–13	-0.01	23%	15 Jul →
anubis	13–3	0.13	20%	14 Jul →
mirage	13–10	0.08	16%	14 Jul →
inferno	13–9	0.09	17%	14 Jul →
ancient	13–3	0.11	47%	14 Jul →
cache	13–5	0.01	17%	14 Jul →
mirage	3–13	-0.02	30%	14 Jul →
mirage	13–5	-0.02	16%	14 Jul →
ancient	11–13	-0.04	14%	14 Jul →
ancient	13–7	0.06	18%	14 Jul →
dust2	15–15	-0.00	22%	3 Jul →
mirage	10–13	-0.00	22%	30 Jun →
mirage	8–13	0.03	47%	30 Jun →
mirage	13–9	0.01	18%	25 Jun →
ancient	12–4	-0.05	30%	24 Jun →
dust2	13–5	0.00	20%	24 Jun →
dust2	13–4	0.05	86%	24 Jun →
ancient	11–13	0.04	24%	24 Jun →
dust2	13–3	0.06	22%	24 Jun →
cache	5–13	0.04	11%	23 Jun →
anubis	5–13	0.01	25%	20 Jun →
mirage	6–13	0.02	21%	18 Jun →
dust2	13–6	0.04	29%	18 Jun →
overpass	13–7	0.04	29%	18 Jun →
cache	13–6	0.13	21%	10 Jun →
mirage	13–6	0.14	24%	10 Jun →
dust2	13–10	0.07	15%	10 Jun →
dust2	8–13	-0.01	21%	10 Jun →
ancient	7–13	0.01	15%	10 Jun →
anubis	7–13	0.01	33%	9 Jun →
dust2	11–13	0.01	29%	9 Jun →
ancient	13–2	0.09	20%	8 Jun →
nuke	13–5	0.11	24%	8 Jun →
mirage	8–13	-0.03	18%	8 Jun →
dust2	11–13	-0.01	25%	8 Jun →
mirage	5–13	0.02	12%	8 Jun →