🅰🆁🅽🅸🅴 — CS2 Stats

76561198080838407[U:1:120572679]Steam profile ↗✓ No bans

1,385Tracked matches57%Win rate2020Tracked since

2,735Hours in CS11Hrs last 2 wks

CSDB Rating4.2 DevelopingPositional Player

Premier CS Rating7,957Light Blue band · top ~64.7% of ranked players (population est.)

CSDB Leaderboard#194023 of 259164 tracked

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 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: 7,957 +1,146 19 Sept – 31 Oct · 21 days played

8,469Peak Premier in tracked matches

21Days played since 2026-09-19

Premier CS Rating

305 below peak (8,262)
+2,659 over 30 days · improving
Next: Blue band at 10,000 — 2,043 to go
Reached: Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,820), 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	39.6%	39.9%	42.0%	2.4% short
Shot accuracy	7.4%	7.0%	9.6%	2.2% short
Kill/death ratio	0.58	0.92	0.98	0.40 short
Match win rate	37.0%	42.3%	43.8%	6.8% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Kill/death ratio. 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.

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Performance scores

Aim42

Positioning56

Utility51

0–100 skill scores via Leetify.

Recent form

HOT44–52–4Last 10044%Win rateWWWWWWWLWW

Last 10 vs previous 10: +60pp win rate · +0.13 avg rating · +15.7pp headshot accuracy · −16ms reaction

Win rate up 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

5–0 · 100% win rate
Avg rating 0.19
Avg headshot accuracy 38%
Avg reaction 550ms

Last 10

9–1 · 90% win rate
Avg rating 0.08
Avg headshot accuracy 28%
Avg reaction 561ms

Last 20

12–8 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 20%
Avg reaction 569ms

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 (+2.3 against its own average).

Aim4.2

Utility5.1

Positioning5.6

Opening Duels2.5

Clutch0.0

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 Twistzz 68% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower 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

Areas to improve

Reaction time. 575ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2

Positioning5.6

Utility5.1

Mechanics3.6

Opening Duels2.6

Win Impact7.4

Composite 4.2/10 (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 rating0.00+0.05

first ⅓ avg -0.04 → last ⅓ avg 0.00

Reaction time575ms−34ms

first ⅓ avg 609ms → last ⅓ avg 575ms

Headshot accuracy16.8%+6.8%

first ⅓ avg 10.0% → last ⅓ avg 16.8%

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

0.31Best match rating · 13–5 · ancient, 31 Oct →

58%Best headshot accuracy · 13–3 · nuke, 31 Oct →

375msFastest reaction time · 13–6 · nuke, 24 Oct →

13–0Biggest win · ancient, 31 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W7Current streak

6–12In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 69% over 13anubisWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	19	9–10	47%	-0.00
inferno	B	19	10–9	53%	-0.05
anubis	D	15	4–11	27%	0.01
dust2	D	15	4–11	27%	-0.04
nuke	S	13	9–4	69%	-0.03
mirage	D	10	3–7	30%	-0.05
cache	A	9	5–4	56%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,763Lifetime kills

0.58K/D

3,382Matches

37.0%Match win rate

39.6%Headshot %

7.4%Shot accuracy · Top 50% of Light Blue band

4,944MVPs

1,493Hours (in match)

6,207Bombs planted

1,088Bombs defused

Most-used weapons

AK-477,778

M4A4 / M4A1-S6,762

FAMAS2,546

Galil AR2,483

P2000 / USP-S2,399

P902,296

MP72,065

AUG1,988

Glock-181,949

MAC-101,771

Lifetime map wins

10,081dust2

6,675inferno

2,302nuke

558vertigo

547train

252office

88italy

23cbble

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

Faceit stats

Combat

8Matches

25%Win rate

0.48Avg K/D

65.2ADR

34%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsWLWLL

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.

16.0%Headshot accuracy

30.3%Accuracy (enemy spotted)

32.0%Spray accuracy

66.2%Counter-strafing

11.2°Preaim

575msReaction time

39.5%T opening success

41.4%CT opening success

0.56Enemies flashed / flash

3.0%Flash assists

5.29HE damage / grenade

7.88Flashes / 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.

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 39.54% — below the 40% mark we flag

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.

27% win rate across 15 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	13–4	0.06	24%	31 Oct →
ancient	13–0	0.20	39%	31 Oct →
nuke	13–3	0.13	58%	31 Oct →
anubis	13–5	0.25	30%	31 Oct →
ancient	13–5	0.31	38%	31 Oct →
anubis	13–2	0.26	19%	31 Oct →
mirage	13–6	-0.07	14%	24 Oct →
dust2	3–13	-0.11	33%	24 Oct →
nuke	13–6	-0.09	5%	24 Oct →
inferno	13–1	-0.12	15%	24 Oct →
mirage	10–13	-0.06	8%	23 Oct →
ancient	13–7	-0.07	13%	23 Oct →
dust2	13–10	0.00	13%	23 Oct →
dust2	13–11	-0.09	7%	23 Oct →
ancient	10–13	-0.02	9%	23 Oct →
dust2	6–13	-0.01	17%	23 Oct →
dust2	11–13	-0.07	20%	23 Oct →
anubis	12–16	-0.08	7%	6 Oct →
ancient	8–13	-0.05	9%	6 Oct →
nuke	14–16	-0.04	15%	5 Oct →
nuke	8–0	-0.02	14%	5 Oct →
inferno	15–15	-0.05	13%	5 Oct →
ancient	9–13	0.02	14%	5 Oct →
ancient	9–13	-0.03	13%	5 Oct →
dust2	13–9	-0.06	14%	4 Oct →
cache	7–13	-0.04	15%	4 Oct →
nuke	13–11	-0.01	12%	4 Oct →
anubis	11–13	0.02	12%	4 Oct →
dust2	13–8	-0.01	7%	4 Oct →
dust2	15–15	-0.02	10%	4 Oct →
dust2	5–13	0.01	14%	4 Oct →
cache	10–13	-0.07	8%	3 Oct →
ancient	13–1	0.03	12%	3 Oct →
mirage	10–13	-0.08	3%	3 Oct →
anubis	13–10	0.02	22%	2 Oct →
cache	13–5	0.01	15%	2 Oct →
ancient	11–13	-0.05	14%	2 Oct →
nuke	13–4	-0.04	8%	2 Oct →
inferno	8–13	-0.07	9%	1 Oct →
anubis	9–13	-0.02	14%	1 Oct →
mirage	11–13	-0.05	7%	1 Oct →
inferno	10–13	-0.06	9%	30 Sept →
inferno	13–10	-0.07	15%	30 Sept →
inferno	13–11	-0.01	13%	30 Sept →
ancient	9–13	-0.09	15%	30 Sept →
anubis	9–13	-0.03	12%	30 Sept →
mirage	13–9	-0.01	13%	30 Sept →
dust2	11–13	-0.07	9%	30 Sept →
mirage	9–13	-0.07	7%	30 Sept →
dust2	7–13	-0.04	8%	29 Sept →
ancient	13–9	0.00	0%	29 Sept →
nuke	6–13	-0.07	12%	29 Sept →
anubis	8–13	-0.03	9%	29 Sept →
cache	13–9	-0.11	8%	29 Sept →
inferno	7–13	-0.01	8%	29 Sept →
cache	3–13	-0.07	8%	28 Sept →
ancient	8–13	-0.04	12%	28 Sept →
anubis	11–13	-0.02	10%	28 Sept →
inferno	10–13	-0.06	13%	28 Sept →
mirage	8–13	-0.05	6%	28 Sept →
inferno	11–13	-0.06	21%	27 Sept →
nuke	13–6	-0.06	13%	27 Sept →
inferno	16–14	-0.02	11%	27 Sept →
inferno	13–10	-0.03	5%	27 Sept →
inferno	7–13	-0.04	11%	27 Sept →
ancient	13–7	0.05	11%	26 Sept →
mirage	11–13	-0.02	16%	26 Sept →
cache	13–10	-0.05	9%	26 Sept →
cache	16–14	-0.06	11%	26 Sept →
ancient	15–15	-0.09	4%	25 Sept →
cache	6–13	-0.02	13%	25 Sept →
mirage	13–10	-0.07	20%	25 Sept →
anubis	5–13	-0.01	10%	25 Sept →
nuke	6–13	-0.06	9%	25 Sept →
ancient	13–9	-0.01	6%	25 Sept →
inferno	11–13	-0.08	11%	24 Sept →
dust2	11–13	-0.05	9%	24 Sept →
inferno	13–8	0.01	9%	24 Sept →
dust2	9–13	-0.01	14%	23 Sept →
ancient	13–8	-0.02	3%	23 Sept →
anubis	7–13	-0.01	6%	23 Sept →
mirage	6–13	-0.06	8%	23 Sept →
anubis	13–3	-0.01	20%	22 Sept →
anubis	10–13	-0.06	6%	22 Sept →
ancient	5–13	-0.07	8%	22 Sept →
anubis	9–13	-0.05	10%	21 Sept →
nuke	16–14	-0.03	9%	21 Sept →
ancient	15–15	-0.07	6%	21 Sept →
inferno	9–13	-0.08	6%	20 Sept →
inferno	13–6	-0.01	19%	20 Sept →
nuke	13–6	-0.04	0%	20 Sept →
inferno	13–7	-0.03	16%	20 Sept →
nuke	8–13	-0.08	12%	20 Sept →
dust2	11–13	-0.02	7%	20 Sept →
anubis	6–13	-0.10	13%	20 Sept →
inferno	13–6	-0.01	11%	20 Sept →
dust2	4–13	-0.06	11%	19 Sept →
cache	13–10	-0.05	14%	19 Sept →
inferno	13–10	-0.06	9%	19 Sept →
ancient	13–7	-0.02	13%	19 Sept →