ℜ𝔲𝔲𝔟𝔢𝔯𝔱𝔱 ✟ — CS2 Stats

FI76561198011637186[U:1:51371458]Steam profile ↗✓ No bans

6,414Tracked matches70%Win rate2020Tracked since

4,826Hours in CS

CSDB Rating7.8 StrongPositional Player

Premier CS Rating25,087Top 25% of 213,211 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

CSDB Leaderboard#21027 of 259880 tracked

FaceitLevel 10 · 1,543 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (3 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: 25,087 +3,293 29 Aug – 1 Nov · 16 days played

Faceit ELO: 1,543 +0 29 Aug – 18 Oct · 5 observations

26,349Peak Premier in tracked matches

1,543Highest Faceit ELO seen on CSDB

13Days played since 2026-08-29

Faceit ELO

At peak — 1,543
0 over 30 days · steady
Next: Level 9 at 1,751 — 208 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-29
Level 7 first seen 2026-08-29

Premier CS Rating

390 below peak (25,477)
Next: Gold band at 30,000 — 4,913 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-08-29
Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate	48.3%	50.9%
Shot accuracy	7.7%	13.7%
Kill/death ratio	0.96	1.09
Match win rate	46.4%	48.4%

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Performance scores

Aim78

Positioning76

Utility63

0–100 skill scores via Leetify.

Recent form

HOT53–46–1Last 10053%Win rateWWWWWWWWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −3.0pp headshot accuracy · −1ms reaction

Win rate up 40pp 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 0.01
Avg headshot accuracy 15%
Avg reaction 503ms

Last 10

10–0 · 100% win rate
Avg rating 0.03
Avg headshot accuracy 18%
Avg reaction 533ms

Last 20

16–4 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 20%
Avg reaction 533ms

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 (+1.8 against its own average).

Aim7.8

Utility6.3

Positioning7.6

Opening Duels5.9

Clutch3.4

Limited utility dependence

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 m0NESY 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

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

Aim7.8

Positioning7.6

Utility6.3

Mechanics6.1

Opening Duels7.4

Win Impact10.0

Composite 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time525ms−63ms

first ⅓ avg 588ms → last ⅓ avg 525ms

Headshot accuracy20.6%+1.9%

first ⅓ avg 18.6% → last ⅓ avg 20.6%

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 · 13–1 · dust2, 26 Oct →

44%Best headshot accuracy · 10–13 · cache, 31 Oct →

391msFastest reaction time · 13–3 · dust2, 1 Nov →

13–0Biggest win · anubis, 27 Oct →

Across the last 100 tracked matches.

Highlights

12Longest win streak

W12Current streak

11–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 79% over 19cacheWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	13–13	50%	0.02
nuke	S	19	15–4	79%	0.02
anubis	A	16	9–7	56%	0.01
ancient	B	15	8–7	53%	0.00
cache	D	10	2–8	20%	0.01
inferno	A	7	4–3	57%	0.01
mirage	C	5	2–3	40%	-0.03
train	—	1	0–1	0%	-0.02
vertigo	—	1	0–1	0%	-0.18

Across the last 100 tracked matches.

Lifetime stats

199,711Lifetime kills

0.96K/D

10,821Matches

46.4%Match win rate

48.3%Headshot %

7.7%Shot accuracy

27,286MVPs

4,826Hours (in match)

18,430Bombs planted

2,243Bombs defused

Most-used weapons

AK-4761,588

M4A4 / M4A1-S32,832

AWP20,182

Desert Eagle17,397

P2000 / USP-S9,522

Glock-189,032

SSG 086,179

MP74,914

Nova4,007

Tec-93,870

Lifetime map wins

21,550dust2

16,400nuke

15,579inferno

4,563train

2,557vertigo

770cbble

331lake

237office

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

Faceit stats

Combat

2,009Matches

50%Win rate

1.01Avg K/D

84.0ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	314	50%	1.04	15.8
Nuke	311	52%	1.05	16.4
Dust2	309	53%	1.07	17.2
Anubis	267	50%	0.97	15.4
Inferno	212	48%	0.95	15.0
Cache	124	46%	1.06	16.5
Mirage	78	37%	0.87	14.1
Overpass	55	56%	0.98	15.0

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.

20.7%Headshot accuracy

34.5%Accuracy (enemy spotted)

30.8%Spray accuracy

77.4%Counter-strafing

7.5°Preaim

525msReaction time

63.9%T opening success

55.1%CT opening success

0.56Enemies flashed / flash

18.5%Flash assists

13.88HE damage / grenade

2.94Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.9432 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–8	0.07	26%	3 Nov →
anubis	13–9	0.02	12%	3 Nov →
dust2	13–10	-0.04	9%	3 Nov →
nuke	13–5	-0.02	12%	3 Nov →
cache	13–11	0.02	17%	3 Nov →
anubis	13–4	0.08	19%	2 Nov →
dust2	13–11	0.08	27%	2 Nov →
nuke	16–14	0.04	23%	2 Nov →
dust2	13–11	0.01	15%	2 Nov →
nuke	13–10	0.08	25%	2 Nov →
ancient	13–2	0.08	30%	2 Nov →
anubis	13–6	0.02	13%	2 Nov →
cache	14–16	0.05	19%	1 Nov →
ancient	8–13	-0.04	27%	1 Nov →
ancient	0–13	-0.13	16%	1 Nov →
dust2	11–13	0.02	27%	1 Nov →
dust2	13–7	0.01	21%	1 Nov →
dust2	13–3	0.04	29%	1 Nov →
nuke	13–10	0.09	18%	1 Nov →
ancient	13–9	0.07	15%	31 Oct →
dust2	6–13	-0.05	21%	31 Oct →
cache	9–13	0.01	24%	31 Oct →
anubis	13–10	0.05	27%	31 Oct →
anubis	13–11	-0.04	13%	31 Oct →
dust2	13–7	0.08	31%	31 Oct →
cache	10–13	-0.01	44%	31 Oct →
ancient	13–9	-0.03	16%	31 Oct →
inferno	5–13	-0.04	7%	30 Oct →
nuke	13–4	0.03	21%	30 Oct →
dust2	4–13	0.03	18%	30 Oct →
nuke	9–13	-0.01	18%	30 Oct →
mirage	10–13	-0.00	25%	30 Oct →
nuke	14–16	-0.01	16%	30 Oct →
dust2	11–13	0.01	11%	30 Oct →
ancient	9–13	-0.00	10%	30 Oct →
cache	8–13	0.03	21%	30 Oct →
ancient	3–13	-0.09	6%	30 Oct →
nuke	13–11	0.02	17%	29 Oct →
dust2	13–11	0.10	22%	29 Oct →
ancient	5–13	0.01	30%	29 Oct →
anubis	6–13	0.00	20%	29 Oct →
cache	9–13	-0.01	20%	29 Oct →
anubis	13–2	0.03	16%	29 Oct →
anubis	10–13	0.05	13%	29 Oct →
dust2	11–13	0.04	16%	29 Oct →
dust2	13–7	0.01	26%	29 Oct →
inferno	13–11	0.04	27%	29 Oct →
dust2	6–13	0.00	21%	28 Oct →
dust2	11–13	-0.01	16%	28 Oct →
mirage	16–12	0.02	30%	28 Oct →
cache	13–1	0.12	20%	28 Oct →
mirage	8–13	-0.04	16%	28 Oct →
nuke	2–13	-0.04	15%	28 Oct →
ancient	13–5	0.06	12%	28 Oct →
dust2	13–5	0.07	18%	28 Oct →
nuke	13–6	0.05	33%	27 Oct →
anubis	13–0	-0.00	19%	27 Oct →
mirage	10–13	-0.04	19%	27 Oct →
nuke	7–13	0.07	26%	27 Oct →
nuke	13–11	-0.04	18%	27 Oct →
cache	14–16	0.01	20%	27 Oct →
inferno	13–9	0.03	17%	27 Oct →
dust2	13–1	0.15	23%	26 Oct →
nuke	13–11	0.07	17%	26 Oct →
anubis	7–13	0.01	15%	26 Oct →
dust2	5–13	0.02	11%	26 Oct →
inferno	13–7	0.08	19%	26 Oct →
cache	5–13	-0.03	9%	24 Oct →
dust2	13–16	-0.02	21%	24 Oct →
anubis	15–15	0.01	16%	24 Oct →
train	2–13	-0.02	18%	24 Oct →
ancient	8–13	0.01	19%	23 Oct →
inferno	7–13	0.01	23%	23 Oct →
ancient	7–13	-0.00	15%	23 Oct →
anubis	13–16	0.00	10%	23 Oct →
dust2	9–13	0.00	16%	23 Oct →
ancient	13–6	0.02	14%	23 Oct →
anubis	13–9	-0.03	20%	23 Oct →
dust2	3–13	0.01	24%	22 Oct →
inferno	2–13	-0.06	26%	22 Oct →
nuke	13–9	0.01	23%	22 Oct →
dust2	13–4	0.00	22%	22 Oct →
ancient	13–11	0.04	19%	22 Oct →
nuke	13–6	0.02	27%	22 Oct →
dust2	13–4	0.06	27%	22 Oct →
mirage	13–4	-0.09	21%	22 Oct →
nuke	13–10	-0.00	24%	22 Oct →
dust2	13–10	0.03	20%	22 Oct →
nuke	13–10	-0.03	17%	21 Oct →
vertigo	1–9	-0.18	4%	21 Oct →
dust2	5–13	-0.00	23%	21 Oct →
inferno	13–10	0.03	17%	21 Oct →
ancient	13–5	-0.06	12%	21 Oct →
cache	7–13	-0.03	16%	21 Oct →
nuke	13–8	0.01	27%	21 Oct →
anubis	13–6	-0.01	13%	21 Oct →
nuke	16–13	0.04	18%	21 Oct →
dust2	14–16	-0.02	26%	21 Oct →
anubis	11–13	0.01	15%	21 Oct →
anubis	10–13	-0.01	13%	21 Oct →