𝗡𝗢𝗠𝗘𝗥𝗖𝗬𝗞 — CS2 Stats

IQ76561198068241682[U:1:107975954]Steam profile ↗VAC banned

831Tracked matches25%Win rate2020Tracked since

3,830Hours in CS20Hrs last 2 wks

CSDB Rating7.5 StrongOpening Duellist

Premier CS Rating26,415Top 10% of 215,558 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#10961 of 261691 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 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: 26,415 -743 26 Aug – 14 Nov · 27 days played

28,254Peak Premier in tracked matches

26Days played since 2026-08-26

Premier CS Rating

1,839 below peak (28,254)
-1,682 over 30 days · declining
-743 over 90 days
Next: Gold band at 30,000 — 3,585 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-30
Pink band first seen 2026-08-30

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=31,884), 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	61.1%	50.9%
Shot accuracy	19.2%	13.7%
Kill/death ratio	1.15	1.09
Match win rate	52.9%	48.4%

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Performance scores

Aim97

Positioning79

Utility23

0–100 skill scores via Leetify.

Recent form

COLD36–61–3Last 10036%Win rateLWLLLLLWLL

Last 10 vs previous 10: 0pp win rate · −0.06 avg rating · +3.1pp headshot accuracy · +62ms 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 0.07
Avg headshot accuracy 28%
Avg reaction 531ms

Last 10

2–8 · 20% win rate
Avg rating 0.05
Avg headshot accuracy 26%
Avg reaction 521ms

Last 20

4–16 · 20% win rate
Avg rating 0.08
Avg headshot accuracy 25%
Avg reaction 490ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2.7 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim9.7

Utility2.3

Positioning7.9

Opening Duels8.0

Clutch3.0

Sharp aimerExcellent counter-strafingLimited 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 s1mple 63% playstyle similarity

Most alike: aim profile, opening-duel success.

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 97 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 80% T opening-duel success — entries that actually open the round.

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

Aim9.7

Positioning7.9

Utility2.3

Mechanics9.0

Opening Duels9.6

Win Impact0.0

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.07+0.01

first ⅓ avg 0.06 → last ⅓ avg 0.07

Reaction time500ms+1ms

first ⅓ avg 499ms → last ⅓ avg 500ms

Headshot accuracy23.8%−4.2%

first ⅓ avg 28.0% → last ⅓ avg 23.8%

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

0.23Best match rating · 11–13 · anubis, 10 Nov →

50%Best headshot accuracy · 0–13 · dust2, 31 Aug →

313msFastest reaction time · 1–13 · dust2, 1 Sept →

13–1Biggest win · mirage, 26 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

6–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 45% over 31ancientWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	31	14–17	45%	0.08
dust2	D	30	10–20	33%	0.04
anubis	C	16	6–10	38%	0.08
inferno	D	10	3–7	30%	0.06
ancient	D	6	0–6	0%	0.06
cache	—	4	1–3	25%	0.07
nuke	—	3	2–1	67%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

170,850Lifetime kills

1.15K/D · Top 50% of Level 10 players

4,434Matches

52.9%Match win rate · Top 25% of Level 10 players

61.1%Headshot % · Top 25% of Level 10 players

19.2%Shot accuracy · Top 10% of Level 10 players

18,312MVPs

7,621Hours (in match)

2,995Bombs planted

1,197Bombs defused

Most-used weapons

AK-4792,313

M4A4 / M4A1-S26,802

Desert Eagle18,002

P2000 / USP-S9,414

AWP6,392

Glock-183,728

P2502,849

UMP-451,591

Knife1,518

MP91,414

Lifetime map wins

17,943dust2

4,150inferno

1,153nuke

470vertigo

437train

45cbble

29office

19stmarc

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

Faceit stats

Combat

1,334Matches

52%Win rate

1.23Avg K/D

88.9ADR

53%Headshot %

Clutches & streaks

35%1v1 clutch win

33%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	150	55%	1.18	18.2
Dust2	74	53%	1.17	17.6
Anubis	51	53%	1.15	16.8
Ancient	38	50%	1.12	16.1
Nuke	15	40%	1.21	18.1
Overpass	15	53%	1.35	19.5
Inferno	15	73%	1.47	20.4
Vertigo	9	44%	0.98	16.0

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.

24.0%Headshot accuracy

43.8%Accuracy (enemy spotted)

41.4%Spray accuracy

90.3%Counter-strafing

6.6°Preaim

500msReaction time

80.2%T opening success

66.8%CT opening success

0.30Enemies flashed / flash

3.9%Flash assists

10.52HE damage / grenade

1.00Flashes / 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 0.3028 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	-0.01	23%	14 Nov →
nuke	13–9	0.23	29%	14 Nov →
mirage	3–13	0.02	33%	14 Nov →
dust2	6–13	0.08	33%	14 Nov →
dust2	8–13	0.03	23%	13 Nov →
mirage	8–13	0.02	29%	13 Nov →
dust2	5–13	0.05	22%	13 Nov →
dust2	13–11	0.12	28%	12 Nov →
dust2	13–16	-0.01	25%	12 Nov →
dust2	11–13	-0.03	20%	12 Nov →
mirage	6–13	0.07	19%	12 Nov →
mirage	10–13	0.16	19%	11 Nov →
anubis	13–9	0.12	18%	11 Nov →
cache	7–13	0.05	26%	11 Nov →
ancient	10–13	0.09	21%	11 Nov →
mirage	13–11	0.16	24%	10 Nov →
anubis	11–13	0.23	28%	10 Nov →
anubis	6–13	0.06	29%	10 Nov →
dust2	6–13	0.12	31%	10 Nov →
dust2	2–13	0.02	20%	10 Nov →
mirage	15–15	0.15	23%	9 Nov →
anubis	13–4	0.12	27%	9 Nov →
mirage	13–2	0.13	20%	9 Nov →
dust2	13–4	0.04	20%	9 Nov →
dust2	3–13	0.10	26%	29 Oct →
dust2	12–12	0.03	25%	29 Oct →
dust2	2–13	-0.03	24%	25 Oct →
cache	7–13	0.01	13%	25 Oct →
inferno	10–13	0.04	19%	18 Oct →
dust2	1–13	0.03	24%	18 Oct →
dust2	8–13	0.07	24%	18 Oct →
ancient	15–15	0.09	15%	14 Oct →
anubis	5–13	-0.01	26%	14 Oct →
mirage	11–13	0.06	33%	14 Oct →
nuke	13–7	0.01	28%	13 Oct →
mirage	2–13	-0.03	15%	13 Oct →
mirage	13–7	0.11	31%	11 Oct →
dust2	13–7	0.15	29%	11 Oct →
mirage	13–6	0.15	16%	11 Oct →
cache	13–4	0.15	20%	11 Oct →
anubis	13–16	0.00	11%	11 Oct →
anubis	7–13	0.06	34%	10 Oct →
mirage	9–13	0.00	24%	10 Oct →
anubis	13–8	0.09	25%	3 Oct →
anubis	11–13	0.07	25%	3 Oct →
cache	5–13	0.06	20%	3 Oct →
dust2	7–13	0.02	16%	3 Oct →
ancient	6–13	0.08	31%	3 Oct →
inferno	4–13	-0.01	25%	3 Oct →
mirage	13–8	0.05	19%	2 Oct →
inferno	10–13	-0.00	27%	2 Oct →
mirage	14–12	0.10	27%	2 Oct →
inferno	13–10	0.15	26%	2 Oct →
mirage	13–8	0.11	29%	30 Sept →
mirage	13–9	0.02	27%	30 Sept →
inferno	13–7	0.06	23%	30 Sept →
dust2	13–8	0.02	26%	28 Sept →
mirage	10–13	0.12	15%	27 Sept →
anubis	13–4	0.10	31%	27 Sept →
ancient	3–13	-0.08	41%	27 Sept →
inferno	10–13	0.09	36%	27 Sept →
inferno	12–16	0.08	27%	27 Sept →
mirage	7–13	-0.04	36%	27 Sept →
anubis	11–13	0.01	22%	14 Sept →
anubis	7–13	0.03	23%	14 Sept →
mirage	5–13	0.02	13%	14 Sept →
ancient	9–13	0.08	28%	6 Sept →
dust2	13–11	0.03	41%	6 Sept →
inferno	6–13	0.08	29%	6 Sept →
anubis	14–16	0.06	24%	1 Sept →
dust2	1–13	0.03	25%	1 Sept →
inferno	13–3	0.08	26%	1 Sept →
mirage	6–13	0.03	15%	1 Sept →
dust2	13–11	0.02	30%	31 Aug →
mirage	4–13	0.06	21%	31 Aug →
dust2	0–13	-0.06	50%	31 Aug →
dust2	13–8	0.10	23%	31 Aug →
nuke	10–13	-0.01	22%	31 Aug →
dust2	13–9	0.04	32%	31 Aug →
mirage	13–10	0.13	43%	31 Aug →
mirage	13–8	0.10	23%	31 Aug →
mirage	9–13	0.04	27%	31 Aug →
mirage	13–16	0.00	19%	30 Aug →
dust2	11–13	0.03	29%	30 Aug →
dust2	11–13	0.03	44%	30 Aug →
inferno	5–13	0.04	29%	28 Aug →
dust2	4–13	0.00	28%	28 Aug →
mirage	6–13	0.09	15%	28 Aug →
dust2	10–13	0.05	25%	28 Aug →
dust2	13–8	0.09	37%	27 Aug →
anubis	13–6	0.05	36%	27 Aug →
mirage	14–16	0.21	26%	27 Aug →
dust2	13–11	0.02	19%	26 Aug →
mirage	13–3	0.18	33%	26 Aug →
ancient	9–13	0.08	26%	26 Aug →
anubis	7–13	0.10	29%	26 Aug →
anubis	16–12	0.12	32%	26 Aug →
mirage	13–9	0.00	33%	26 Aug →
mirage	13–1	0.11	16%	26 Aug →
mirage	13–7	0.16	17%	26 Aug →