𝔸𝕤𝕙 — CS2 Stats

JP76561199275978223[U:1:1315712495]Steam profile ↗✓ No bans

1,305Tracked matches52%Win rate2022Tracked since

830Hours in CS

CSDB Rating4.8 DevelopingPositional Player

Premier CS Rating9,493Light Blue band · top ~57.3% of ranked players (population est.)

CSDB Leaderboard#162762 of 224955 tracked

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (10 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. 21 days played since 31 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: 9,493 +11 31 Jul – 8 Sept · 21 days played

10,372Peak Premier in tracked matches

21Days played since 2026-07-31

Premier CS Rating

770 below peak (10,263)
-526 over 30 days · declining
Next: Blue band at 10,000 — 507 to go
Reached: Blue band · Light Blue band
Light Blue 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. 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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,059), 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	Light Blue band median	Blue band median	vs Blue band
Headshot rate	55.6%	39.9%	41.9%	above
Shot accuracy	0.3%	6.8%	9.6%	9.3% short
Kill/death ratio	0.90	0.91	0.98	0.08 short
Match win rate	34.1%	42.3%	43.8%	9.7% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77

Positioning41

Utility20

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWWWLLWLWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +5.1pp headshot accuracy · −39ms reaction

Win rate up 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.04
Avg headshot accuracy 12%
Avg reaction 635ms

Last 10

6–4 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 18%
Avg reaction 648ms

Last 20

10–9–1 · 50% win rate
Avg rating -0.03
Avg headshot accuracy 16%
Avg reaction 667ms

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 (+1.5 against its own average).

Aim7.7

Utility2.0

Positioning4.1

Opening Duels1.8

Limited 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 82% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Areas to improve

Positioning. Positioning trails aim by 37 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.

T-side openings. Opening success drops from 44% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 656ms 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

Aim7.7

Positioning4.1

Utility2.0

Mechanics8.0

Opening Duels1.7

Win Impact5.6

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time664ms−90ms

first ⅓ avg 754ms → last ⅓ avg 664ms

Headshot accuracy13.9%−5.0%

first ⅓ avg 18.8% → last ⅓ avg 13.9%

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 · 9–1 · inferno, 5 Aug →

43%Best headshot accuracy · 13–4 · inferno, 5 Sept →

516msFastest reaction time · 10–13 · nuke, 26 Aug →

13–0Biggest win · anubis, 15 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

8–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 61% over 18mirageWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	27	16–11	59%	-0.03
nuke	B	18	9–9	50%	-0.02
anubis	A	18	11–7	61%	-0.02
mirage	C	14	5–9	36%	-0.03
ancient	C	14	6–8	43%	-0.04
dust2	C	7	3–4	43%	-0.02
vertigo	—	1	1–0	100%	0.02
overpass	—	1	1–0	100%	0.14

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,549Lifetime kills

0.90K/D

2,542Matches

34.1%Match win rate

55.6%Headshot % · Top 10% of Light Blue band

0.3%Shot accuracy

2,337MVPs

830Hours (in match)

1,124Bombs planted

360Bombs defused

Most-used weapons

AK-4719,295

M4A4 / M4A1-S5,517

AWP2,995

P2000 / USP-S1,610

SG 5531,472

XM10141,378

Desert Eagle1,347

MP9968

FAMAS946

MAC-10932

Lifetime map wins

2,994nuke

2,950inferno

1,785dust2

630vertigo

350train

264office

234lake

26cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.7%Headshot accuracy

42.6%Accuracy (enemy spotted)

47.5%Spray accuracy

85.9%Counter-strafing

11.1°Preaim

656msReaction time

27.6%T opening success

43.7%CT opening success

0.24Enemies flashed / flash

0.0%Flash assists

8.43HE damage / grenade

0.47Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.7368% — below the 15% mark we flag
Aim Training →
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 0.2363 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 27.6076% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	-0.01	8%	8 Sept →
mirage	13–6	0.00	15%	8 Sept →
anubis	13–11	-0.04	14%	8 Sept →
nuke	16–12	-0.07	11%	8 Sept →
anubis	11–13	-0.07	13%	8 Sept →
inferno	10–13	-0.08	18%	8 Sept →
ancient	13–11	0.00	10%	7 Sept →
anubis	6–13	-0.04	30%	7 Sept →
anubis	13–9	0.04	20%	7 Sept →
inferno	13–4	-0.01	43%	5 Sept →
ancient	10–13	0.06	20%	5 Sept →
anubis	2–13	-0.07	23%	5 Sept →
ancient	15–15	-0.04	3%	5 Sept →
inferno	13–7	-0.09	20%	5 Sept →
inferno	13–16	-0.02	17%	4 Sept →
anubis	13–9	0.04	6%	4 Sept →
nuke	14–16	-0.08	16%	4 Sept →
mirage	13–10	-0.08	4%	4 Sept →
inferno	16–14	-0.04	10%	4 Sept →
mirage	7–13	0.03	12%	4 Sept →
inferno	13–8	0.01	5%	3 Sept →
ancient	13–2	-0.01	19%	3 Sept →
nuke	9–13	-0.01	11%	3 Sept →
inferno	13–8	0.00	18%	3 Sept →
inferno	8–13	0.02	8%	1 Sept →
mirage	13–7	-0.03	9%	1 Sept →
anubis	5–13	-0.06	21%	1 Sept →
ancient	13–10	-0.07	6%	1 Sept →
mirage	10–13	-0.02	12%	1 Sept →
ancient	11–13	-0.04	10%	31 Aug →
nuke	16–12	-0.01	8%	31 Aug →
anubis	13–8	-0.02	13%	31 Aug →
mirage	4–13	-0.05	6%	29 Aug →
inferno	13–11	-0.06	12%	27 Aug →
nuke	15–15	-0.03	12%	27 Aug →
nuke	10–13	0.02	12%	26 Aug →
dust2	6–13	0.00	10%	26 Aug →
dust2	5–13	-0.05	21%	26 Aug →
mirage	7–13	-0.07	5%	26 Aug →
vertigo	9–5	0.02	5%	26 Aug →
anubis	13–1	0.06	23%	26 Aug →
nuke	9–13	-0.03	14%	26 Aug →
anubis	13–10	-0.04	10%	19 Aug →
inferno	15–15	-0.05	9%	19 Aug →
ancient	8–13	-0.10	5%	19 Aug →
inferno	13–5	0.01	16%	16 Aug →
ancient	5–13	-0.08	10%	15 Aug →
anubis	13–6	-0.03	15%	15 Aug →
inferno	13–11	-0.06	24%	15 Aug →
anubis	13–0	0.17	14%	15 Aug →
inferno	13–6	-0.04	8%	15 Aug →
ancient	11–13	-0.11	8%	10 Aug →
nuke	9–13	-0.07	11%	10 Aug →
dust2	8–13	0.02	27%	9 Aug →
inferno	13–10	0.02	28%	9 Aug →
ancient	13–6	0.07	17%	9 Aug →
mirage	3–13	-0.09	21%	9 Aug →
dust2	13–5	-0.06	19%	9 Aug →
nuke	13–6	-0.05	9%	9 Aug →
anubis	4–13	-0.08	10%	9 Aug →
dust2	13–11	-0.00	12%	8 Aug →
inferno	13–10	0.03	17%	8 Aug →
nuke	5–13	-0.06	15%	8 Aug →
inferno	13–7	-0.04	14%	8 Aug →
nuke	13–7	0.01	23%	8 Aug →
ancient	9–13	-0.09	19%	8 Aug →
anubis	15–15	-0.04	22%	8 Aug →
nuke	13–5	0.03	20%	8 Aug →
ancient	13–7	-0.05	34%	8 Aug →
inferno	8–13	-0.09	17%	7 Aug →
inferno	13–11	-0.04	37%	7 Aug →
anubis	13–3	0.03	28%	7 Aug →
anubis	13–6	-0.03	17%	7 Aug →
ancient	11–13	-0.08	24%	7 Aug →
dust2	6–13	-0.02	10%	5 Aug →
mirage	7–13	-0.05	22%	5 Aug →
inferno	9–13	-0.05	20%	5 Aug →
nuke	13–8	0.02	37%	5 Aug →
ancient	13–8	0.02	18%	5 Aug →
inferno	13–11	-0.02	21%	5 Aug →
nuke	13–7	-0.02	21%	5 Aug →
nuke	13–4	0.04	24%	5 Aug →
inferno	7–9	-0.11	32%	5 Aug →
inferno	4–9	0.01	18%	5 Aug →
inferno	9–1	0.20	8%	5 Aug →
nuke	8–8	-0.13	26%	5 Aug →
overpass	9–0	0.14	16%	4 Aug →
nuke	9–1	0.09	18%	4 Aug →
inferno	6–9	-0.06	33%	4 Aug →
mirage	10–13	-0.07	7%	1 Aug →
mirage	13–3	0.09	11%	1 Aug →
anubis	2–13	-0.06	12%	1 Aug →
mirage	9–13	0.01	11%	1 Aug →
dust2	13–7	-0.04	11%	1 Aug →
inferno	4–13	-0.08	10%	1 Aug →
mirage	13–6	-0.05	3%	1 Aug →
mirage	6–13	0.01	32%	31 Jul →
anubis	13–9	-0.05	8%	31 Jul →
inferno	13–16	-0.01	11%	31 Jul →
inferno	13–3	-0.02	3%	31 Jul →