𝕣𝟜𝕧𝟛𝕟_𝟘 — CS2 Stats

SI76561197975797780[U:1:15532052]Steam profile ↗✓ No bans

677Tracked matches62%Win rate2020Tracked since

2,533Hours in CS2Hrs last 2 wks

CSDB Rating6.7 SolidSupport

Premier CS Rating21,361Top 50% of 215,386 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)

CSDB Leaderboard#66092 of 261591 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 21,361 +3,716 3 May – 10 Nov · 29 days played

23,080Peak Premier in tracked matches

46Days played since 2026-04-29

Premier CS Rating

1,607 below peak (22,968)
+729 over 30 days · improving
-956 over 90 days
Next: Red band at 25,000 — 3,639 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-10-19
Purple band first seen 2026-10-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	20	—	—
Win rate	50%	—	—
K/D	1.18	—	—
Headshot %	41%	—	—

Measured 19 Oct 2026 → 14 Nov 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 8 among CSDB-tracked players (n=15,525), 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 8 median	Level 9 median	vs Level 9
Headshot rate	40.8%	46.8%	48.2%	7.4% short
Shot accuracy	14.3%	13.0%	13.2%	above
Kill/death ratio	1.06	1.06	1.07	meets
Match win rate	47.8%	46.3%	46.9%	meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim76

Positioning52

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateWWLTLWWWWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +1.7pp headshot accuracy · −29ms 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

2–2–1 · 40% win rate
Avg rating 0.06
Avg headshot accuracy 13%
Avg reaction 581ms

Last 10

6–3–1 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 15%
Avg reaction 554ms

Last 20

12–7–1 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 14%
Avg reaction 568ms

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).

Aim7.6

Utility6.4

Positioning5.2

Opening Duels2.6

Clutch5.6

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 NiKo 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 579ms 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

Aim7.6

Positioning5.2

Utility6.4

Mechanics7.2

Opening Duels3.2

Win Impact9.0

Composite 6.7/10 (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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time576ms−98ms

first ⅓ avg 674ms → last ⅓ avg 576ms

Headshot accuracy15.9%−0.7%

first ⅓ avg 16.6% → last ⅓ avg 15.9%

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

0.14Best match rating · 13–1 · dust2, 6 Aug →

60%Best headshot accuracy · 9–0 · dust2, 7 Aug →

438msFastest reaction time · 13–10 · dust2, 18 Oct →

13–1Biggest win · mirage, 10 Nov →

Across the last 100 tracked matches.

Highlights

9Longest win streak

W2Current streak

9–11In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 83% over 6mirageWeakest map · 45% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	35	19–16	54%	0.02
mirage	B	20	9–11	45%	-0.01
cache	S	17	13–4	76%	-0.01
inferno	S	16	12–4	75%	-0.00
anubis	S	6	5–1	83%	-0.01
ancient	—	3	0–3	0%	-0.00
nuke	—	2	1–1	50%	0.04
train	—	1	1–0	100%	-0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 20). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,821Lifetime kills

1.06K/D · Top 50% of Level 8 players

3,047Matches

47.8%Match win rate · Top 50% of Level 8 players

40.8%Headshot %

14.3%Shot accuracy · Top 50% of Level 8 players

8,355MVPs

1,489Hours (in match)

5,036Bombs planted

836Bombs defused

Most-used weapons

AK-4721,782

M4A4 / M4A1-S14,871

AWP8,747

Desert Eagle4,255

P2000 / USP-S3,547

Glock-183,325

P2502,146

FAMAS1,669

Tec-91,214

Five-SeveN1,115

Lifetime map wins

11,875dust2

5,849inferno

1,524nuke

1,037train

175vertigo

140cbble

97office

46dust

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

Faceit stats

Combat

186Matches

60%Win rate

1.21Avg K/D

91.5ADR

42%Headshot %

Clutches & streaks

48%1v1 clutch win

18%1v2 clutch win

16Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	23	61%	1.46	20.5
Mirage	14	71%	1.62	21.2
Cache	13	100%	1.37	14.8
Inferno	11	82%	1.20	15.6
Ancient	6	17%	1.20	17.7
Anubis	4	75%	0.76	8.3
Nuke	3	33%	1.60	25.7
Train	1	0%	0.61	11.0

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.

15.5%Headshot accuracy

35.8%Accuracy (enemy spotted)

39.3%Spray accuracy

82.2%Counter-strafing

8.5°Preaim

579msReaction time

42.2%T opening success

43.1%CT opening success

0.58Enemies flashed / flash

10.2%Flash assists

9.68HE damage / grenade

12.87Flashes / match

Recommended for you

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.

45% win rate across 20 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
mirage	13–1	0.01	0%	10 Nov →
dust2	13–3	0.11	16%	2 Nov →
dust2	7–9	0.05	17%	29 Oct →
mirage	12–12	0.08	18%	29 Oct →
dust2	3–13	0.05	15%	27 Oct →
nuke	13–10	0.02	19%	26 Oct →
inferno	13–11	0.04	14%	25 Oct →
inferno	13–5	-0.03	16%	25 Oct →
dust2	13–10	0.02	21%	18 Oct →
mirage	14–16	-0.03	17%	18 Oct →
dust2	13–10	0.03	15%	14 Oct →
mirage	9–13	-0.03	17%	13 Oct →
inferno	13–9	0.02	13%	13 Oct →
cache	13–3	-0.02	18%	13 Oct →
cache	13–11	-0.05	7%	13 Oct →
dust2	13–6	0.02	15%	12 Oct →
ancient	11–13	0.04	14%	11 Oct →
mirage	5–13	-0.08	16%	4 Oct →
dust2	10–13	0.05	8%	4 Oct →
cache	13–9	0.05	13%	4 Oct →
dust2	13–10	-0.01	14%	3 Oct →
dust2	5–0	0.07	33%	3 Oct →
cache	13–11	0.05	15%	3 Oct →
cache	11–13	-0.00	13%	1 Oct →
inferno	13–8	0.02	17%	1 Oct →
mirage	13–10	0.03	13%	1 Oct →
dust2	9–13	-0.01	20%	1 Oct →
inferno	4–13	-0.10	38%	29 Sept →
dust2	7–13	0.05	5%	29 Sept →
train	13–9	-0.12	21%	28 Sept →
dust2	13–11	0.00	4%	28 Sept →
inferno	13–4	0.03	27%	28 Sept →
anubis	13–8	-0.04	16%	28 Sept →
inferno	13–8	0.01	11%	28 Sept →
cache	13–10	-0.08	14%	28 Sept →
inferno	13–16	0.05	22%	16 Sept →
mirage	7–13	-0.00	20%	8 Sept →
cache	13–6	-0.01	14%	8 Sept →
dust2	13–5	-0.00	16%	8 Sept →
dust2	13–7	0.11	21%	7 Sept →
nuke	9–13	0.06	15%	7 Sept →
mirage	3–13	-0.03	40%	7 Sept →
dust2	1–13	-0.06	11%	3 Sept →
mirage	13–2	0.00	16%	2 Sept →
dust2	13–11	-0.02	11%	2 Sept →
cache	19–16	0.01	16%	2 Sept →
dust2	13–7	-0.00	13%	2 Sept →
cache	13–4	-0.03	12%	1 Sept →
inferno	13–11	0.01	16%	1 Sept →
mirage	9–13	-0.03	11%	1 Sept →
mirage	11–13	0.04	24%	31 Aug →
inferno	13–6	-0.01	17%	31 Aug →
cache	13–1	0.05	7%	31 Aug →
anubis	13–1	-0.01	7%	31 Aug →
cache	13–6	-0.03	24%	29 Aug →
dust2	13–6	-0.03	15%	29 Aug →
mirage	13–5	-0.04	16%	29 Aug →
inferno	13–6	-0.02	17%	29 Aug →
cache	13–8	-0.03	21%	29 Aug →
dust2	13–4	-0.01	24%	24 Aug →
cache	10–13	-0.05	19%	24 Aug →
anubis	13–10	-0.02	15%	20 Aug →
mirage	5–13	-0.04	15%	20 Aug →
cache	13–1	0.09	11%	17 Aug →
mirage	13–5	0.05	18%	17 Aug →
dust2	13–4	0.06	10%	17 Aug →
mirage	7–13	-0.06	19%	13 Aug →
inferno	1–13	-0.03	15%	13 Aug →
dust2	6–13	-0.08	9%	13 Aug →
cache	10–13	-0.03	19%	13 Aug →
mirage	13–6	-0.02	16%	7 Aug →
dust2	9–0	-0.05	60%	7 Aug →
inferno	13–11	-0.08	14%	7 Aug →
ancient	5–13	-0.07	8%	7 Aug →
cache	13–2	0.04	22%	7 Aug →
dust2	2–13	-0.01	9%	6 Aug →
dust2	13–1	0.14	27%	6 Aug →
mirage	13–8	-0.04	20%	30 Jul →
dust2	13–11	0.02	14%	30 Jul →
anubis	13–7	0.08	16%	28 Jul →
inferno	2–13	-0.00	21%	28 Jul →
dust2	13–6	0.05	22%	28 Jul →
dust2	16–14	-0.00	12%	26 Jul →
dust2	9–13	-0.05	16%	26 Jul →
mirage	13–10	-0.02	13%	23 Jul →
dust2	11–13	-0.00	10%	19 Jul →
dust2	11–13	0.01	17%	5 Jul →
dust2	10–13	-0.05	14%	1 Jul →
mirage	5–8	-0.09	0%	21 Jun →
anubis	8–13	-0.03	15%	15 Jun →
dust2	11–13	0.04	14%	14 Jun →
anubis	13–7	-0.05	9%	5 Jun →
inferno	13–5	0.10	18%	28 May →
dust2	11–13	-0.00	22%	10 May →
cache	11–13	-0.06	11%	5 May →
ancient	7–13	0.01	15%	5 May →
dust2	7–13	-0.03	19%	5 May →
dust2	14–16	0.11	15%	3 May →
mirage	13–5	0.12	17%	3 May →
inferno	13–10	-0.05	20%	29 Apr →