𝘾𝙚𝙡𝙡 𝘼𝙫𝙞v — CS2 Stats

LT76561198233295532[U:1:273029804]Steam profile ↗✓ No bans

1,789Tracked matches48%Win rate2020Tracked since

3,750Hours in CS13Hrs last 2 wks

CSDB Rating6.4 SolidSupport

Premier CS Rating21,492Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)

CSDB Leaderboard#64334 of 261568 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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.

Rating over time

Premier CS Rating: 21,492 -2,965 19 Sept – 12 Nov · 34 days played

26,121Peak Premier in tracked matches

1,259Highest Faceit ELO seen on CSDB

33Days played since 2025-10-21

Premier CS Rating

4,573 below peak (26,065)
-4,573 over 30 days · declining
Next: Red band at 25,000 — 3,508 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-09-19
Purple band first seen 2026-09-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 median	Level 6 median	vs Level 6
Headshot rate	36.9%	43.8%	44.8%	7.9% short
Shot accuracy	13.5%	12.0%	12.4%	above
Kill/death ratio	1.28	1.02	1.03	above
Match win rate	48.6%	44.7%	45.2%	above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim80

Positioning60

Utility63

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateWTLLLWLLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −0.8pp headshot accuracy · −94ms reaction

Win rate down 30pp 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

1–3–1 · 20% win rate
Avg rating -0.05
Avg headshot accuracy 24%
Avg reaction 461ms

Last 10

2–7–1 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 23%
Avg reaction 472ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.01
Avg headshot accuracy 23%
Avg reaction 519ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim8.0

Utility6.3

Positioning6.0

Opening Duels4.1

Clutch2.6

Effective flashes

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 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.0

Positioning6.0

Utility6.3

Mechanics5.1

Opening Duels5.5

Win Impact4.4

Composite 6.4/10 (Solid), 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 rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time493ms−20ms

first ⅓ avg 513ms → last ⅓ avg 493ms

Headshot accuracy23.0%+2.4%

first ⅓ avg 20.6% → last ⅓ avg 23.0%

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

0.15Best match rating · 13–4 · mirage, 5 Oct →

67%Best headshot accuracy · 9–13 · anubis, 7 Nov →

352msFastest reaction time · 9–2 · mirage, 30 Sept →

13–1Biggest win · ancient, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

5–8In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 53% over 19ancientWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	22	9–13	41%	0.04
anubis	B	19	10–9	53%	0.02
inferno	B	19	10–9	53%	0.04
dust2	C	19	7–12	37%	0.02
ancient	D	9	3–6	33%	0.01
cache	D	6	2–4	33%	0.02
nuke	D	6	2–4	33%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,745Lifetime kills

1.28K/D · Top 25% of Level 5 players

5,774Matches

48.6%Match win rate · Top 25% of Level 5 players

36.9%Headshot %

13.5%Shot accuracy · Top 50% of Level 5 players

18,826MVPs

2,194Hours (in match)

5,210Bombs planted

1,472Bombs defused

Most-used weapons

AK-4730,762

M4A4 / M4A1-S18,040

AWP15,747

Desert Eagle6,412

SG 5536,215

P2000 / USP-S5,396

Glock-184,158

P903,280

SSG 082,705

MAC-102,226

Lifetime map wins

8,273inferno

5,996dust2

3,957nuke

1,352train

1,049vertigo

864office

639cbble

447italy

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

Faceit stats

Combat

193Matches

52%Win rate

1.05Avg K/D

69.5ADR

44%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLWW

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.

23.7%Headshot accuracy

35.1%Accuracy (enemy spotted)

39.4%Spray accuracy

72.8%Counter-strafing

9.6°Preaim

516msReaction time

54.4%T opening success

49.2%CT opening success

0.71Enemies flashed / flash

9.3%Flash assists

13.39HE damage / grenade

8.99Flashes / match

Recommended for you

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.

33% win rate across 9 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
anubis	13–6	-0.01	29%	12 Nov →
inferno	15–15	0.01	26%	12 Nov →
dust2	7–13	-0.15	0%	12 Nov →
mirage	8–13	-0.07	50%	12 Nov →
inferno	5–13	-0.01	13%	12 Nov →
mirage	13–9	0.04	19%	12 Nov →
ancient	3–13	-0.10	33%	11 Nov →
anubis	14–16	-0.04	15%	11 Nov →
inferno	9–13	-0.03	22%	10 Nov →
dust2	9–13	0.05	23%	10 Nov →
inferno	13–6	-0.00	16%	10 Nov →
mirage	13–8	0.03	20%	10 Nov →
dust2	7–13	0.00	23%	9 Nov →
mirage	9–13	0.02	27%	9 Nov →
anubis	13–10	-0.01	17%	9 Nov →
inferno	10–4	0.01	27%	9 Nov →
cache	6–13	-0.02	15%	8 Nov →
anubis	9–13	-0.04	67%	7 Nov →
mirage	13–11	0.04	16%	4 Nov →
inferno	11–13	-0.00	10%	4 Nov →
inferno	13–10	0.07	44%	4 Nov →
inferno	14–16	0.04	21%	29 Oct →
anubis	13–7	0.10	58%	29 Oct →
inferno	13–11	0.10	28%	29 Oct →
dust2	11–13	-0.01	17%	28 Oct →
mirage	13–11	0.07	14%	28 Oct →
anubis	13–7	0.01	14%	27 Oct →
dust2	13–8	-0.01	33%	27 Oct →
inferno	13–10	0.05	9%	27 Oct →
nuke	0–2	-0.17	0%	25 Oct →
dust2	5–13	0.07	17%	25 Oct →
ancient	13–1	0.07	18%	25 Oct →
dust2	12–16	-0.04	18%	25 Oct →
mirage	5–13	0.02	9%	23 Oct →
inferno	7–13	0.05	28%	23 Oct →
anubis	15–15	0.00	15%	22 Oct →
anubis	9–13	-0.02	18%	22 Oct →
dust2	8–13	-0.02	12%	22 Oct →
anubis	13–7	0.11	21%	21 Oct →
mirage	12–16	0.05	14%	21 Oct →
cache	5–13	-0.04	17%	21 Oct →
ancient	13–10	0.07	26%	20 Oct →
mirage	10–13	0.03	18%	20 Oct →
ancient	5–13	0.07	14%	19 Oct →
ancient	8–13	-0.05	25%	19 Oct →
ancient	11–13	-0.01	15%	15 Oct →
anubis	15–15	-0.00	13%	15 Oct →
inferno	13–4	0.05	30%	13 Oct →
mirage	13–7	0.15	19%	13 Oct →
anubis	13–3	0.10	19%	13 Oct →
dust2	13–7	0.04	17%	12 Oct →
mirage	15–15	0.03	22%	12 Oct →
anubis	11–13	-0.04	14%	12 Oct →
nuke	13–16	-0.02	13%	11 Oct →
anubis	13–2	0.01	16%	11 Oct →
dust2	9–13	-0.03	20%	11 Oct →
dust2	13–3	0.12	17%	11 Oct →
nuke	2–13	-0.05	13%	10 Oct →
mirage	13–2	0.10	23%	8 Oct →
inferno	7–13	0.04	24%	8 Oct →
mirage	13–6	0.08	30%	8 Oct →
cache	9–13	0.06	26%	8 Oct →
cache	13–9	0.02	11%	7 Oct →
dust2	13–8	0.03	10%	7 Oct →
mirage	13–4	0.15	29%	5 Oct →
ancient	2–13	0.05	14%	5 Oct →
anubis	13–9	0.01	23%	5 Oct →
dust2	12–16	-0.00	16%	4 Oct →
mirage	6–13	0.03	15%	4 Oct →
inferno	1–13	-0.03	14%	4 Oct →
dust2	9–13	0.09	25%	4 Oct →
mirage	4–13	-0.02	16%	1 Oct →
nuke	13–9	0.03	15%	1 Oct →
dust2	13–11	0.01	24%	1 Oct →
inferno	13–8	0.08	18%	30 Sept →
mirage	9–2	0.08	20%	30 Sept →
mirage	10–13	-0.02	17%	30 Sept →
ancient	13–4	0.07	38%	30 Sept →
cache	13–5	0.09	16%	30 Sept →
nuke	13–5	0.08	20%	28 Sept →
inferno	13–8	0.14	22%	28 Sept →
mirage	10–13	-0.01	29%	28 Sept →
cache	10–13	0.02	29%	28 Sept →
dust2	13–9	0.14	14%	28 Sept →
anubis	8–13	0.05	9%	28 Sept →
nuke	9–13	0.03	9%	27 Sept →
anubis	13–6	-0.05	24%	27 Sept →
mirage	7–13	0.07	15%	27 Sept →
dust2	8–13	-0.06	18%	27 Sept →
inferno	7–13	0.02	32%	27 Sept →
anubis	11–13	0.08	21%	24 Sept →
dust2	13–11	0.05	18%	24 Sept →
mirage	6–13	0.07	23%	24 Sept →
dust2	4–13	0.04	26%	23 Sept →
mirage	10–13	-0.02	24%	23 Sept →
anubis	13–9	0.02	25%	22 Sept →
inferno	13–9	0.13	26%	22 Sept →
ancient	2–13	-0.06	19%	22 Sept →
anubis	8–13	0.03	24%	21 Sept →
inferno	13–10	-0.03	19%	21 Sept →