esticade 60hz demon — CS2 Stats

LV76561198046651286[U:1:86385558]Steam profile ↗✓ No bans

548Tracked matches43%Win rate2020Tracked since

2,256Hours in CS2Hrs last 2 wks

CSDB Rating5.8 SolidPositional Player

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 548

−1.6ppWin rate · 44.4% → 42.9%

Rating over time

34Days played since 2026-05-11

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	10	—	—
Win rate	60%	—	—
K/D	1.09	—	—
Headshot %	53%	—	—

Measured 18 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=13,885), 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 7 median	Level 8 median	vs Level 8
Headshot rate	51.1%	45.7%	46.8%	above
Shot accuracy	16.4%	12.7%	13.0%	above
Kill/death ratio	0.89	1.05	1.06	0.17 short
Match win rate	48.7%	45.7%	46.3%	above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim74

Positioning63

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateLWLWLLLWTW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +5.2pp headshot accuracy · −38ms 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

2–3 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 634ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 607ms

Last 20

8–11–1 · 40% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 626ms

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).

Aim7.4

Utility5.2

Positioning6.3

Opening Duels3.8

Clutch6.0

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 NiKo 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 592ms 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

Aim7.4

Positioning6.3

Utility5.2

Mechanics7.3

Opening Duels2.3

Win Impact2.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time598ms−5ms

first ⅓ avg 603ms → last ⅓ avg 598ms

Headshot accuracy18.0%+2.1%

first ⅓ avg 16.0% → last ⅓ avg 18.0%

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

0.17Best match rating · 13–3 · cache, 7 Jul →

33%Best headshot accuracy · 11–13 · dust2, 18 Jun →

414msFastest reaction time · 15–15 · ancient, 18 Jun →

13–2Biggest win · mirage, 26 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–8In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 64% over 11ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	8–15	35%	0.01
cache	A	23	13–10	57%	0.01
inferno	D	13	4–9	31%	0.00
mirage	A	11	6–5	55%	-0.00
anubis	A	11	7–4	64%	-0.03
ancient	D	7	2–5	29%	-0.02
nuke	—	4	3–1	75%	0.01
vertigo	—	4	1–3	25%	0.02
overpass	—	2	0–2	0%	-0.00
train	—	2	0–2	0%	-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,908Lifetime kills

0.89K/D

3,869Matches

48.7%Match win rate · Top 25% of Level 7 players

51.1%Headshot % · Top 50% of Level 7 players

16.4%Shot accuracy · Top 25% of Level 7 players

10,279MVPs

1,375Hours (in match)

3,314Bombs planted

797Bombs defused

Most-used weapons

AK-4723,418

M4A4 / M4A1-S11,454

P2000 / USP-S4,204

Desert Eagle4,066

AWP3,986

P2503,291

Glock-183,006

Five-SeveN1,707

FAMAS1,562

Tec-91,551

Lifetime map wins

6,051dust2

5,986inferno

1,659nuke

817vertigo

709train

608lake

365cbble

261office

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

Faceit stats

Combat

113Matches

55%Win rate

1.00Avg K/D

73.5ADR

43%Headshot %

Clutches & streaks

50%1v1 clutch win

8%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	9	67%	1.06	14.7
Anubis	6	83%	1.04	13.5
Mirage	4	0%	0.52	9.5
Inferno	3	67%	1.11	15.7
Nuke	2	50%	1.25	15.0
Cache	2	50%	1.40	15.5
Ancient	2	50%	1.07	14.0
Vertigo	1	100%	1.70	17.0

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.

18.5%Headshot accuracy

35.2%Accuracy (enemy spotted)

42.3%Spray accuracy

83.0%Counter-strafing

10.7°Preaim

592msReaction time

40.2%T opening success

38.5%CT opening success

0.51Enemies flashed / flash

2.0%Flash assists

7.88HE damage / grenade

9.91Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.4616% — below the 40% mark we flag

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.

29% win rate across 7 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
inferno	8–13	0.03	31%	13 Oct →
dust2	13–10	0.03	32%	13 Oct →
dust2	3–13	0.03	18%	17 Jul →
nuke	13–3	-0.02	15%	17 Jul →
dust2	8–13	-0.02	15%	17 Jul →
inferno	2–13	-0.02	11%	16 Jul →
dust2	5–13	-0.07	15%	10 Jul →
mirage	13–8	0.02	21%	10 Jul →
dust2	12–12	0.09	21%	7 Jul →
cache	13–3	0.17	15%	7 Jul →
mirage	9–13	-0.03	11%	3 Jul →
dust2	2–13	0.04	17%	3 Jul →
cache	13–7	0.16	16%	3 Jul →
inferno	9–13	-0.01	21%	30 Jun →
mirage	1–13	-0.11	5%	29 Jun →
anubis	13–3	0.02	14%	29 Jun →
cache	5–13	0.00	17%	28 Jun →
dust2	13–5	-0.05	12%	27 Jun →
dust2	0–13	-0.04	10%	26 Jun →
mirage	13–11	0.10	20%	26 Jun →
nuke	8–13	-0.04	29%	20 Jun →
inferno	13–4	0.09	21%	19 Jun →
mirage	8–13	-0.05	27%	19 Jun →
anubis	13–5	-0.01	17%	19 Jun →
overpass	11–13	-0.00	15%	19 Jun →
dust2	13–4	0.10	15%	19 Jun →
anubis	10–13	-0.04	18%	18 Jun →
ancient	15–15	-0.05	13%	18 Jun →
dust2	11–13	0.02	33%	18 Jun →
nuke	13–4	0.11	16%	18 Jun →
dust2	12–12	-0.01	18%	17 Jun →
nuke	13–10	-0.02	19%	17 Jun →
mirage	13–11	0.03	20%	16 Jun →
anubis	13–7	-0.00	14%	15 Jun →
ancient	13–9	0.00	15%	15 Jun →
cache	13–11	0.00	13%	15 Jun →
mirage	7–13	-0.05	10%	15 Jun →
inferno	5–13	-0.04	7%	14 Jun →
dust2	13–7	-0.04	13%	14 Jun →
overpass	8–13	-0.00	0%	14 Jun →
inferno	13–8	-0.04	13%	14 Jun →
ancient	13–7	0.03	17%	13 Jun →
dust2	11–13	-0.03	12%	13 Jun →
anubis	13–6	-0.07	5%	13 Jun →
cache	13–4	0.04	12%	13 Jun →
mirage	11–13	-0.07	21%	13 Jun →
cache	6–13	-0.08	6%	13 Jun →
dust2	13–6	-0.01	14%	13 Jun →
inferno	8–13	-0.02	20%	13 Jun →
inferno	10–13	-0.05	12%	13 Jun →
dust2	10–13	0.04	21%	13 Jun →
dust2	13–9	0.04	13%	11 Jun →
cache	9–13	-0.03	12%	11 Jun →
cache	13–7	-0.03	15%	11 Jun →
vertigo	2–8	0.04	15%	11 Jun →
ancient	12–12	-0.03	17%	11 Jun →
inferno	13–10	0.02	21%	10 Jun →
ancient	12–12	-0.03	14%	10 Jun →
cache	13–11	0.01	7%	10 Jun →
dust2	13–11	-0.03	16%	10 Jun →
inferno	10–13	0.00	22%	10 Jun →
mirage	13–4	0.03	17%	10 Jun →
anubis	13–11	-0.02	14%	9 Jun →
cache	5–13	-0.02	17%	9 Jun →
cache	12–12	0.03	16%	9 Jun →
cache	13–11	-0.01	22%	9 Jun →
cache	3–13	0.00	0%	8 Jun →
dust2	7–13	0.03	21%	8 Jun →
anubis	11–13	-0.09	23%	8 Jun →
vertigo	7–13	-0.00	14%	8 Jun →
cache	11–13	-0.04	10%	7 Jun →
anubis	13–5	-0.04	12%	6 Jun →
dust2	11–13	0.00	12%	6 Jun →
cache	13–9	-0.00	18%	5 Jun →
dust2	13–3	0.09	31%	3 Jun →
mirage	13–6	0.08	13%	3 Jun →
ancient	2–13	-0.07	18%	3 Jun →
cache	13–11	-0.03	14%	3 Jun →
vertigo	13–4	0.04	13%	3 Jun →
inferno	6–13	0.08	17%	3 Jun →
dust2	10–13	0.03	19%	3 Jun →
anubis	7–13	-0.06	17%	3 Jun →
dust2	8–13	-0.05	23%	27 May →
mirage	13–2	0.01	17%	26 May →
cache	13–11	-0.01	16%	26 May →
dust2	12–12	-0.01	19%	26 May →
train	8–13	-0.01	12%	26 May →
cache	13–9	0.10	11%	25 May →
inferno	5–13	-0.10	14%	25 May →
ancient	2–13	-0.03	13%	25 May →
anubis	13–10	0.00	9%	18 May →
cache	12–12	-0.03	4%	18 May →
cache	5–13	-0.08	13%	16 May →
vertigo	9–13	0.02	19%	16 May →
inferno	13–3	0.08	9%	16 May →
cache	13–7	0.02	25%	16 May →
cache	11–13	-0.01	11%	15 May →
train	4–13	0.00	17%	15 May →
anubis	10–13	0.02	12%	11 May →
cache	13–5	0.07	29%	11 May →