𝙉𝟏𝙜𝙜𝗮 — CS2 Stats

VI76561199077839426[U:1:1117573698]Steam profile ↗✓ No bans

1,102Tracked matches53%Win rate2020Tracked since

1,813Hours in CS3Hrs last 2 wks

CSDB Rating5.7 SolidPositional Player

Premier CS Rating10,851Blue band · top ~50.4% of ranked players (population est.)

CSDB Leaderboard#181497 of 259984 tracked

FaceitLevel 5 · 1,137 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 10,851 -870 27 May – 4 Nov · 36 days played

12,313Peak Premier in tracked matches

1,137Highest Faceit ELO seen on CSDB

55Days played since 2026-05-27

Faceit ELO

At peak — 1,137
Next: Level 6 at 1,201 — 64 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

1,238 below peak (12,089)
+1,136 over 30 days · improving
+1,229 over 90 days
Next: Purple band at 15,000 — 4,149 to go
Reached: Blue band · Light Blue band

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

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	40.0%	43.8%	44.8%	4.8% short
Shot accuracy	13.1%	12.0%	12.4%	above
Kill/death ratio	0.97	1.02	1.03	0.07 short
Match win rate	46.1%	44.7%	45.2%	above

This profile matches the typical Level 6 player on 2 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

Aim63

Positioning62

Utility44

0–100 skill scores via Leetify.

Recent form

HOT45–52–3Last 10045%Win rateLWWWWWLWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.7pp headshot accuracy · +45ms 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

4–1 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 691ms

Last 10

7–3 · 70% win rate
Avg rating 0.02
Avg headshot accuracy 22%
Avg reaction 685ms

Last 20

14–6 · 70% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 663ms

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 (+1.5 against its own average).

Aim6.3

Utility4.4

Positioning6.2

Opening Duels4.6

Clutch3.4

Strong T-side opener

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 85% 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 658ms 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

Aim6.3

Positioning6.2

Utility4.4

Mechanics7.2

Opening Duels4.9

Win Impact6.1

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time669ms−30ms

first ⅓ avg 699ms → last ⅓ avg 669ms

Headshot accuracy19.3%−1.8%

first ⅓ avg 21.1% → last ⅓ avg 19.3%

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

0.18Best match rating · 13–5 · dust2, 9 Sept →

100%Best headshot accuracy · 0–2 · nuke, 9 Jul →

406msFastest reaction time · 13–1 · train, 14 Aug →

13–0Biggest win · mirage, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

5–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	19	11–8	58%	0.01
dust2	B	19	10–9	53%	0.03
anubis	C	14	5–9	36%	-0.01
nuke	B	10	5–5	50%	0.01
ancient	A	8	5–3	63%	-0.03
train	B	6	3–3	50%	0.00
vertigo	D	6	2–4	33%	-0.02
inferno	D	5	1–4	20%	0.01
cache	—	4	2–2	50%	0.03
office	—	4	0–4	0%	0.01
eldorado	—	2	0–2	0%	-0.13
overpass	—	1	0–1	0%	-0.02
debris	—	1	1–0	100%	0.09
fachwerk	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,643Lifetime kills

0.97K/D

3,080Matches

46.1%Match win rate · Top 50% of Level 5 players

40.0%Headshot %

13.1%Shot accuracy · Top 50% of Level 5 players

6,928MVPs

1,007Hours (in match)

3,052Bombs planted

841Bombs defused

Most-used weapons

AK-4712,441

M4A4 / M4A1-S7,192

AWP6,339

Desert Eagle4,507

P2000 / USP-S3,238

Glock-182,426

MAC-101,433

SSG 081,300

MP91,130

Knife987

Lifetime map wins

3,708dust2

2,738nuke

2,497inferno

1,943vertigo

644train

351cbble

146lake

137office

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

Faceit stats

Combat

202Matches

51%Win rate

0.89Avg K/D

70.9ADR

45%Headshot %

Clutches & streaks

37%1v1 clutch win

28%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	51	51%	0.80	12.3
Nuke	44	61%	1.10	15.2
Dust2	35	49%	0.85	13.0
Ancient	23	48%	0.88	14.1
Anubis	15	47%	0.82	12.7
Train	10	40%	0.67	11.7
Inferno	10	60%	0.98	15.6
Overpass	5	40%	0.83	13.8

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.

19.7%Headshot accuracy

34.4%Accuracy (enemy spotted)

36.1%Spray accuracy

82.4%Counter-strafing

10.8°Preaim

658msReaction time

60.9%T opening success

38.7%CT opening success

0.54Enemies flashed / flash

6.3%Flash assists

7.89HE damage / grenade

6.86Flashes / 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 38.6986% — below the 40% mark we flag

Spend your practice time on Inferno

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 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
eldorado	7–9	-0.03	17%	4 Nov →
mirage	13–10	0.01	37%	4 Nov →
nuke	13–4	0.06	25%	29 Oct →
anubis	13–11	0.01	17%	28 Oct →
cache	13–9	-0.03	16%	28 Oct →
anubis	13–7	0.11	21%	22 Oct →
cache	10–13	0.04	27%	19 Oct →
mirage	13–8	0.05	26%	19 Oct →
ancient	13–10	-0.02	10%	19 Oct →
nuke	4–7	-0.04	20%	16 Oct →
train	8–13	-0.01	39%	7 Oct →
train	13–8	-0.05	18%	7 Oct →
nuke	13–1	0.13	23%	3 Oct →
dust2	13–7	-0.02	16%	2 Oct →
dust2	6–13	-0.02	15%	2 Oct →
vertigo	13–3	-0.02	18%	1 Oct →
ancient	5–13	-0.08	23%	1 Oct →
dust2	13–11	-0.01	16%	30 Sept →
mirage	13–0	0.06	23%	30 Sept →
dust2	13–4	0.01	18%	29 Sept →
vertigo	7–13	-0.03	15%	26 Sept →
overpass	9–13	-0.02	27%	26 Sept →
mirage	13–5	0.02	21%	25 Sept →
anubis	10–13	-0.07	7%	25 Sept →
vertigo	6–13	-0.07	14%	24 Sept →
dust2	10–13	0.01	22%	21 Sept →
inferno	8–13	-0.07	11%	17 Sept →
dust2	5–13	-0.05	18%	16 Sept →
anubis	8–13	0.08	15%	16 Sept →
inferno	6–13	0.06	16%	15 Sept →
nuke	13–5	0.17	19%	15 Sept →
ancient	5–13	-0.10	10%	12 Sept →
eldorado	3–9	-0.22	17%	11 Sept →
dust2	13–5	0.18	13%	9 Sept →
anubis	7–13	-0.01	10%	9 Sept →
mirage	13–6	0.04	24%	9 Sept →
dust2	13–5	0.03	6%	8 Sept →
ancient	13–0	0.03	29%	8 Sept →
dust2	13–7	0.06	17%	6 Sept →
anubis	13–8	-0.00	20%	3 Sept →
office	12–12	0.09	9%	2 Sept →
office	2–13	-0.08	0%	2 Sept →
office	5–13	0.03	18%	2 Sept →
ancient	15–15	0.01	16%	31 Aug →
nuke	4–13	-0.10	0%	21 Aug →
dust2	7–13	-0.06	16%	21 Aug →
mirage	16–14	-0.03	11%	21 Aug →
mirage	6–9	0.02	15%	20 Aug →
anubis	6–13	-0.05	10%	19 Aug →
mirage	10–8	-0.00	17%	19 Aug →
dust2	4–13	-0.01	33%	19 Aug →
anubis	10–6	-0.06	14%	19 Aug →
dust2	13–3	0.11	22%	18 Aug →
dust2	13–10	0.01	15%	17 Aug →
mirage	13–1	0.13	31%	17 Aug →
train	13–9	0.04	27%	14 Aug →
mirage	7–13	0.01	23%	14 Aug →
train	13–1	-0.02	7%	14 Aug →
nuke	13–6	0.06	22%	14 Aug →
dust2	6–13	0.15	18%	12 Aug →
train	0–5	-0.03	20%	12 Aug →
inferno	2–7	0.01	13%	10 Aug →
cache	10–13	0.01	22%	5 Aug →
nuke	3–13	0.01	29%	5 Aug →
ancient	13–9	-0.03	14%	5 Aug →
mirage	13–11	0.01	11%	5 Aug →
dust2	13–2	0.05	13%	4 Aug →
cache	13–5	0.10	27%	3 Aug →
vertigo	13–5	-0.02	16%	30 Jul →
anubis	4–13	-0.10	33%	27 Jul →
mirage	6–13	-0.08	27%	26 Jul →
anubis	5–8	-0.05	29%	24 Jul →
debris	9–5	0.09	26%	21 Jul →
mirage	13–2	0.05	14%	21 Jul →
ancient	13–4	0.01	20%	9 Jul →
nuke	0–2	-0.19	100%	9 Jul →
fachwerk	2–5	-0.11	0%	9 Jul →
office	6–13	0.00	13%	9 Jul →
nuke	10–13	0.06	4%	5 Jul →
train	1–9	0.09	31%	18 Jun →
mirage	3–13	0.02	18%	18 Jun →
mirage	3–13	-0.04	18%	17 Jun →
mirage	13–11	0.00	12%	10 Jun →
dust2	8–13	0.01	14%	10 Jun →
dust2	5–13	-0.02	10%	10 Jun →
vertigo	8–8	-0.06	27%	8 Jun →
anubis	3–13	-0.01	22%	5 Jun →
inferno	3–13	0.10	13%	4 Jun →
nuke	13–5	-0.03	24%	3 Jun →
vertigo	9–13	0.06	12%	3 Jun →
mirage	11–13	-0.01	19%	3 Jun →
ancient	13–9	-0.07	0%	31 May →
dust2	8–13	0.07	19%	31 May →
anubis	6–13	-0.06	18%	28 May →
anubis	4–13	0.00	38%	28 May →
dust2	13–4	0.03	17%	28 May →
anubis	13–4	-0.01	29%	27 May →
inferno	13–4	-0.05	16%	27 May →
mirage	11–13	-0.04	7%	27 May →
mirage	13–6	0.00	21%	27 May →