✪𝕱𝟒𝐧†𝟒$𝐦𝟒 — CS2 Stats

76561198829358124[U:1:869092396]Steam profile ↗✓ No bans

875Tracked matches73%Win rate2020Tracked since

4,428Hours in CS15Hrs last 2 wks

CSDB Rating6.9 SolidSupport

Premier CS Rating23,088Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

CSDB Leaderboard#43188 of 261547 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 23,088 -3,016 11 Feb – 13 Nov · 30 days played

27,259Peak Premier in tracked matches

1,811Highest Faceit ELO seen on CSDB

33Days played since 2026-02-11

Premier CS Rating

4,171 below peak (27,259)
+68 over 30 days · steady
+2,098 over 90 days
Next: Red band at 25,000 — 1,912 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-09-13
Purple band first seen 2026-09-13

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.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	70	52	+18
Win rate	70%	71%	−1pp
K/D	1.22	1.21	+0.02
Headshot %	47%	50%	−3pp

Measured 19 Oct 2026 → 14 Nov 2026; previous 13 Sep 2026 → 19 Oct 2026.

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 9 among CSDB-tracked players (n=15,132), 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 9 median	Level 10 median	vs Level 10
Headshot rate	77.6%	48.2%	50.9%	above
Shot accuracy	22.0%	13.2%	13.7%	above
Kill/death ratio	3.58	1.07	1.09	above
Match win rate	65.3%	46.9%	48.4%	above

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim79

Positioning58

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY72–28Last 10072%Win rateWWWWWLLWLW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −0.9pp headshot accuracy · +36ms reaction

Win rate −10pp 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

5–0 · 100% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 575ms

Last 10

7–3 · 70% win rate
Avg rating -0.00
Avg headshot accuracy 19%
Avg reaction 580ms

Last 20

15–5 · 75% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 562ms

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 (+1.8 against its own average).

Aim7.9

Utility6.4

Positioning5.8

Opening Duels2.5

Clutch3.6

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 b1t 89% playstyle similarity

Most alike: utility contribution, positioning 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. 559ms 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

Aim7.9

Positioning5.8

Utility6.4

Mechanics6.3

Opening Duels3.1

Win Impact10.0

Composite 6.9/10 (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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time549ms−68ms

first ⅓ avg 617ms → last ⅓ avg 549ms

Headshot accuracy21.4%+0.3%

first ⅓ avg 21.1% → last ⅓ avg 21.4%

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 · 13–5 · inferno, 19 Feb →

100%Best headshot accuracy · 0–13 · dust2, 20 Sept →

391msFastest reaction time · 5–0 · nuke, 2 Oct →

13–0Biggest win · inferno, 5 Sept →

Across the last 100 tracked matches.

Highlights

15Longest win streak

W5Current streak

6–2In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 100% over 5anubisWeakest map · 60% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	35	22–13	63%	0.02
dust2	S	31	21–10	68%	0.02
inferno	S	13	12–1	92%	0.06
ancient	S	9	7–2	78%	0.04
anubis	A	5	3–2	60%	0.01
nuke	S	5	5–0	100%	0.02
train	—	2	2–0	100%	0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (60% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

409,369Lifetime kills

3.58K/D · Top 1% of Level 9 players

8,198Matches

65.3%Match win rate · Top 5% of Level 9 players

77.6%Headshot % · Top 1% of Level 9 players

22.0%Shot accuracy · Top 1% of Level 9 players

47,142MVPs

2,514Hours (in match)

6,519Bombs planted

1,608Bombs defused

Most-used weapons

SSG 08220,452

AK-4748,635

FAMAS17,407

M4A4 / M4A1-S16,295

Galil AR13,877

MP912,925

MAC-1011,716

AWP11,624

P2000 / USP-S9,141

P2507,810

Lifetime map wins

12,189inferno

7,483dust2

2,254train

1,372vertigo

1,354nuke

403cbble

280office

180lake

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

Faceit stats

Combat

579Matches

55%Win rate

1.24Avg K/D

93.8ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

24%1v2 clutch win

17Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	147	61%	1.45	19.3
Dust2	119	58%	1.36	19.6
Inferno	57	58%	1.26	18.9
Vertigo	22	41%	1.02	14.6
Ancient	22	50%	1.05	17.6
Train	8	88%	1.57	21.3
Nuke	7	43%	1.42	20.0
Anubis	7	57%	1.58	18.0

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.

20.4%Headshot accuracy

38.2%Accuracy (enemy spotted)

40.3%Spray accuracy

78.5%Counter-strafing

10.1°Preaim

559msReaction time

37.8%T opening success

46.9%CT opening success

0.58Enemies flashed / flash

6.9%Flash assists

8.79HE damage / grenade

14.19Flashes / 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 37.8131% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–7	0.05	20%	13 Nov →
mirage	13–3	0.08	19%	5 Nov →
ancient	13–9	0.03	14%	5 Nov →
dust2	13–9	-0.03	17%	5 Nov →
ancient	13–6	-0.01	23%	5 Nov →
dust2	1–7	-0.05	16%	30 Oct →
dust2	5–13	-0.00	27%	29 Oct →
ancient	13–4	0.02	25%	28 Oct →
mirage	4–13	-0.06	13%	28 Oct →
anubis	13–10	-0.03	14%	28 Oct →
ancient	4–11	-0.01	7%	28 Oct →
nuke	16–13	0.02	16%	28 Oct →
dust2	7–3	0.04	29%	28 Oct →
anubis	13–11	0.04	20%	26 Oct →
mirage	13–3	0.10	19%	26 Oct →
mirage	8–13	0.02	11%	26 Oct →
ancient	13–6	0.09	12%	25 Oct →
mirage	13–7	0.05	25%	14 Oct →
anubis	13–3	0.00	29%	14 Oct →
dust2	13–5	0.08	29%	13 Oct →
dust2	13–5	0.11	24%	2 Oct →
dust2	0–10	-0.02	13%	2 Oct →
nuke	5–0	-0.01	22%	2 Oct →
mirage	13–10	-0.00	13%	2 Oct →
dust2	1–13	-0.08	33%	2 Oct →
nuke	13–8	0.00	16%	1 Oct →
mirage	8–1	0.13	10%	30 Sept →
ancient	13–2	0.10	15%	22 Sept →
dust2	13–8	-0.05	10%	20 Sept →
dust2	0–13	-0.08	100%	20 Sept →
mirage	6–13	-0.02	27%	17 Sept →
dust2	13–1	0.06	19%	17 Sept →
mirage	16–14	0.03	22%	14 Sept →
nuke	13–5	-0.01	13%	14 Sept →
anubis	2–13	0.08	26%	14 Sept →
mirage	8–13	-0.07	29%	8 Sept →
mirage	13–2	-0.00	16%	8 Sept →
mirage	13–1	0.01	22%	5 Sept →
inferno	13–0	0.06	13%	5 Sept →
dust2	13–10	0.05	20%	3 Sept →
dust2	8–13	-0.04	15%	3 Sept →
mirage	13–11	0.05	18%	3 Sept →
dust2	8–13	0.01	18%	3 Sept →
inferno	13–3	0.10	30%	2 Sept →
mirage	8–13	0.03	19%	2 Sept →
dust2	8–13	0.06	15%	1 Sept →
nuke	13–3	0.08	34%	31 Aug →
dust2	11–13	0.06	15%	31 Aug →
mirage	1–13	-0.12	19%	31 Aug →
dust2	13–8	0.01	25%	30 Aug →
dust2	13–6	0.10	32%	30 Aug →
mirage	4–13	0.06	23%	30 Aug →
inferno	13–1	0.14	33%	30 Aug →
mirage	13–4	0.02	13%	30 Aug →
mirage	4–13	0.05	20%	30 Aug →
ancient	9–13	0.02	15%	29 Aug →
inferno	13–5	0.09	22%	29 Aug →
mirage	5–13	-0.03	16%	28 Aug →
dust2	13–9	0.00	5%	27 Aug →
inferno	13–4	0.06	21%	26 Aug →
mirage	8–13	0.05	26%	26 Aug →
dust2	13–7	0.10	20%	26 Aug →
dust2	2–0	0.06	50%	26 Aug →
mirage	13–9	-0.01	22%	26 Aug →
inferno	13–8	0.06	27%	25 Feb →
dust2	13–4	0.05	18%	25 Feb →
mirage	13–8	0.02	22%	25 Feb →
train	13–1	0.09	23%	25 Feb →
mirage	13–4	0.02	20%	25 Feb →
train	13–8	0.12	24%	25 Feb →
inferno	13–3	0.15	15%	25 Feb →
dust2	13–4	0.03	29%	25 Feb →
inferno	9–4	-0.00	29%	25 Feb →
inferno	13–4	0.06	23%	25 Feb →
mirage	13–4	0.08	18%	25 Feb →
mirage	13–6	0.08	21%	25 Feb →
anubis	9–13	-0.02	14%	25 Feb →
dust2	13–9	0.05	26%	22 Feb →
mirage	7–13	-0.01	18%	19 Feb →
mirage	13–6	0.05	15%	19 Feb →
dust2	13–9	-0.01	24%	19 Feb →
dust2	13–4	0.05	17%	19 Feb →
mirage	8–13	-0.05	18%	19 Feb →
mirage	13–0	0.05	14%	19 Feb →
dust2	13–5	-0.03	21%	19 Feb →
mirage	13–4	-0.00	25%	19 Feb →
mirage	9–6	0.02	9%	19 Feb →
inferno	13–5	0.15	20%	19 Feb →
dust2	16–14	-0.00	12%	19 Feb →
inferno	8–13	-0.02	37%	19 Feb →
inferno	13–9	-0.00	14%	19 Feb →
dust2	3–5	0.08	24%	18 Feb →
mirage	13–7	0.02	19%	14 Feb →
dust2	16–14	-0.04	22%	14 Feb →
mirage	8–13	-0.02	35%	14 Feb →
mirage	13–1	0.08	14%	14 Feb →
inferno	13–5	-0.02	27%	14 Feb →
mirage	13–6	-0.01	20%	14 Feb →
dust2	13–2	0.03	30%	14 Feb →
ancient	13–4	0.04	23%	11 Feb →