𝗠𝟰𝗻𝗡𝟭𝘇𝗭𝘆 — CS2 Stats

AM76561198978485284[U:1:1018219556]Steam profile ↗✓ No bans

247Tracked matches70%Win rate2020Tracked since

413Hours in CS

CSDB Rating7.4 StrongPositional Player

Premier CS Rating21,779Top 50% of 192,959 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)

CSDB Leaderboard#55109 of 241005 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 247 tracked matches. 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. 46 days played since 25 May 2025. 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: 21,779 +8,488 25 May – 23 Sept · 20 days played

21,779Peak Premier in tracked matches

46Days played since 2025-05-25

Premier CS Rating

At peak — 21,779
Next: Red band at 25,000 — 3,221 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-23
Purple band first seen 2026-09-23

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 Pink band among CSDB-tracked players (n=38,294), 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	Pink band median	Red band median	vs Red band
Headshot rate	63.2%	46.9%	49.2%	above
Shot accuracy	19.3%	13.0%	13.3%	above
Kill/death ratio	1.60	1.08	1.12	above
Match win rate	46.0%	46.7%	48.5%	2.5% short

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

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Performance scores

Aim93

Positioning63

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY59–39–2Last 10059%Win rateLLLWWWWWWW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +1.4pp headshot accuracy · +114ms reaction

Win rate down 20pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.12
Avg headshot accuracy 36%
Avg reaction 600ms

Last 10

7–3 · 70% win rate
Avg rating 0.09
Avg headshot accuracy 30%
Avg reaction 600ms

Last 20

16–4 · 80% win rate
Avg rating 0.07
Avg headshot accuracy 29%
Avg reaction 543ms

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 against its own average).

Aim9.3

Utility3.9

Positioning6.3

Opening Duels5.6

Sharp aimerLimited 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 ropz 93% playstyle similarity

Most alike: opening-duel success, 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 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

Aim9.3

Positioning6.3

Utility3.9

Mechanics7.5

Opening Duels4.5

Win Impact10.0

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 rating0.06−0.00

first ⅓ avg 0.07 → last ⅓ avg 0.06

Reaction time542ms+29ms

first ⅓ avg 513ms → last ⅓ avg 542ms

Headshot accuracy29.3%+1.9%

first ⅓ avg 27.4% → last ⅓ avg 29.3%

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 · 4–0 · train, 28 Apr →

55%Best headshot accuracy · 13–4 · train, 2 Mar →

367msFastest reaction time · 13–6 · office, 27 Nov →

13–0Biggest win · office, 20 Mar →

Across the last 100 tracked matches.

Highlights

15Longest win streak

L3Current streak

4–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 91% over 11dust2Weakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	15	6–9	40%	0.06
anubis	B	14	7–7	50%	0.05
ancient	B	14	7–7	50%	0.06
nuke	S	13	10–3	77%	0.05
train	A	11	7–4	64%	0.10
mirage	S	11	10–1	91%	0.07
office	A	9	5–4	56%	0.08
overpass	S	6	5–1	83%	0.03
vertigo	C	5	2–3	40%	0.10
agency	—	1	0–1	0%	0.02
inferno	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,032Lifetime kills

1.60K/D · Top 5% of Pink band

1,507Matches

46.0%Match win rate

63.2%Headshot % · Top 5% of Pink band

19.3%Shot accuracy · Top 5% of Pink band

5,742MVPs

413Hours (in match)

875Bombs planted

321Bombs defused

Most-used weapons

AK-4711,279

M4A4 / M4A1-S5,612

AWP4,810

P2000 / USP-S4,101

Desert Eagle3,708

Glock-182,073

AUG1,473

SSG 081,096

MP91,072

SG 553993

Lifetime map wins

3,241inferno

1,831dust2

514nuke

397vertigo

342cbble

338train

176office

67lake

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

Faceit stats

Combat

8Matches

50%Win rate

0.93Avg K/D

—ADR

42%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsWLLLW

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.

27.8%Headshot accuracy

38.1%Accuracy (enemy spotted)

42.0%Spray accuracy

83.7%Counter-strafing

8.0°Preaim

534msReaction time

46.1%T opening success

50.3%CT opening success

0.44Enemies flashed / flash

4.5%Flash assists

7.08HE damage / grenade

4.35Flashes / 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 0.4376 — 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.

40% win rate across 15 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	9–13	0.08	27%	15 May →
office	10–13	0.01	32%	15 May →
office	4–13	0.13	35%	15 May →
train	13–6	0.14	44%	28 Apr →
train	4–0	0.21	40%	28 Apr →
train	13–8	0.16	27%	28 Apr →
mirage	13–5	0.01	19%	28 Apr →
mirage	13–5	0.11	25%	20 Apr →
nuke	13–2	0.00	30%	20 Apr →
dust2	13–7	0.01	21%	14 Apr →
anubis	13–8	-0.01	26%	5 Apr →
mirage	13–6	-0.03	29%	1 Apr →
nuke	13–1	-0.02	0%	27 Mar →
mirage	13–4	0.14	48%	27 Mar →
office	13–7	0.14	26%	20 Mar →
dust2	13–7	0.17	30%	20 Mar →
office	13–9	0.07	35%	20 Mar →
office	13–0	0.15	42%	20 Mar →
overpass	6–13	0.00	28%	15 Mar →
anubis	16–13	0.01	22%	10 Mar →
mirage	13–11	0.06	18%	2 Mar →
train	13–4	0.04	55%	2 Mar →
train	5–13	0.13	28%	2 Mar →
train	7–13	0.06	25%	27 Feb →
train	5–13	0.06	29%	27 Feb →
ancient	10–13	0.04	20%	21 Feb →
dust2	13–4	-0.01	27%	21 Feb →
mirage	8–13	0.01	21%	21 Feb →
nuke	13–6	0.03	11%	21 Feb →
ancient	13–11	0.09	33%	11 Feb →
mirage	13–3	-0.04	36%	11 Feb →
dust2	11–13	0.05	41%	10 Feb →
ancient	3–13	0.12	38%	10 Feb →
nuke	13–7	0.06	20%	5 Feb →
anubis	9–13	-0.01	24%	5 Feb →
mirage	13–4	0.20	27%	30 Jan →
mirage	13–5	0.06	14%	30 Jan →
ancient	2–13	0.03	16%	30 Jan →
overpass	13–5	0.08	37%	24 Jan →
nuke	13–11	0.01	19%	26 Dec →
nuke	5–13	0.07	27%	26 Dec →
overpass	13–11	0.00	15%	26 Dec →
vertigo	9–13	0.09	20%	21 Dec →
nuke	14–16	0.11	23%	21 Dec →
ancient	13–3	0.03	21%	21 Dec →
dust2	13–1	0.18	22%	14 Dec →
anubis	6–13	0.07	33%	14 Dec →
anubis	13–0	0.12	44%	14 Dec →
vertigo	12–12	0.09	23%	6 Dec →
mirage	13–7	0.08	26%	6 Dec →
office	13–6	-0.01	25%	27 Nov →
office	10–2	0.12	33%	27 Nov →
overpass	13–4	0.02	27%	23 Nov →
ancient	13–10	0.04	22%	20 Nov →
train	13–8	0.03	31%	20 Nov →
overpass	13–8	0.04	23%	15 Nov →
ancient	15–15	0.05	20%	15 Nov →
dust2	11–13	0.01	22%	14 Nov →
dust2	5–13	-0.01	31%	14 Nov →
ancient	3–13	0.10	44%	14 Nov →
ancient	4–13	-0.07	16%	14 Nov →
ancient	13–10	0.11	17%	8 Nov →
nuke	13–8	0.01	23%	8 Nov →
train	4–13	0.10	27%	8 Nov →
train	13–6	0.10	39%	8 Nov →
overpass	13–1	0.03	26%	1 Nov →
vertigo	13–1	0.14	30%	1 Nov →
vertigo	10–13	0.01	21%	26 Oct →
vertigo	13–4	0.17	25%	26 Oct →
anubis	8–13	0.09	36%	16 Oct →
anubis	13–6	0.19	36%	16 Oct →
anubis	7–13	0.02	34%	16 Oct →
ancient	11–13	0.05	40%	1 Oct →
nuke	13–3	0.13	30%	30 Sept →
mirage	13–3	0.14	42%	7 Aug →
ancient	13–3	0.11	32%	4 Aug →
nuke	7–13	0.02	31%	4 Aug →
ancient	13–7	0.08	38%	26 Jul →
dust2	9–13	0.02	18%	25 Jul →
nuke	13–8	0.09	25%	25 Jul →
office	3–13	0.05	26%	6 Jul →
agency	2–13	0.02	21%	6 Jul →
train	13–3	0.11	29%	4 Jul →
dust2	16–13	0.07	20%	4 Jul →
anubis	9–13	-0.00	21%	4 Jul →
dust2	13–5	0.12	34%	2 Jul →
dust2	8–13	0.01	21%	2 Jul →
inferno	8–13	0.00	13%	26 Jun →
anubis	13–5	0.13	30%	26 Jun →
nuke	16–13	0.08	24%	26 Jun →
anubis	13–9	0.14	31%	18 Jun →
nuke	13–1	0.08	45%	16 Jun →
ancient	13–8	0.07	28%	16 Jun →
anubis	4–13	-0.03	29%	7 Jun →
anubis	0–13	-0.02	15%	7 Jun →
dust2	4–13	-0.02	11%	7 Jun →
dust2	4–13	0.04	17%	1 Jun →
dust2	10–13	0.12	21%	1 Jun →
dust2	7–13	0.14	37%	25 May →
anubis	13–8	0.00	27%	25 May →