𝔸𝕣𝕧𝕠 — CS2 Stats

FI76561199117478880[U:1:1157213152]Steam profile ↗✓ No bans

2,821Tracked matches30%Win rate2021Tracked since

4,081Hours in CS11Hrs last 2 wks

CSDB Rating5.2 DevelopingAll-Rounder

Premier CS Rating18,036Purple band · top ~16.3% of ranked players (population est.)

CSDB Leaderboard#112299 of 259985 tracked

FaceitLevel 6 · 1,375 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 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: 18,036 -2,030 3 Jul – 1 Nov · 22 days played

Faceit ELO: 1,375 +0 20 Sept – 19 Oct · 2 observations

20,289Peak Premier in tracked matches

1,375Highest Faceit ELO seen on CSDB

31Days played since 2026-07-03

Faceit ELO

At peak — 1,375
0 over 30 days · steady
Next: Level 8 at 1,531 — 156 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-09-20
Level 6 first seen 2026-09-20

Premier CS Rating

2,030 below peak (20,066)
-1,271 over 30 days · declining
Next: Pink band at 20,000 — 1,964 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-20
Blue band first seen 2026-09-20

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 6 among CSDB-tracked players (n=13,496), 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 6 median	Level 7 median	vs Level 7
Headshot rate	40.5%	44.8%	45.7%	5.1% short
Shot accuracy	8.3%	12.4%	12.7%	4.5% short
Kill/death ratio	0.93	1.03	1.05	0.12 short
Match win rate	44.2%	45.2%	45.7%	1.5% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim50

Positioning61

Utility60

0–100 skill scores via Leetify.

Recent form

COLD38–59–3Last 10038%Win rateLLWWLLLLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +2.7pp headshot accuracy · −11ms 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

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 566ms

Last 10

2–8 · 20% win rate
Avg rating -0.00
Avg headshot accuracy 16%
Avg reaction 600ms

Last 20

5–15 · 25% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 606ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.0

Utility6.0

Positioning6.1

Opening Duels5.0

Clutch5.6

Strong CT-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 device 71% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 601ms 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

Aim5.0

Positioning6.1

Utility6.0

Mechanics5.0

Opening Duels8.0

Win Impact0.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time601ms−52ms

first ⅓ avg 653ms → last ⅓ avg 601ms

Headshot accuracy14.4%−2.1%

first ⅓ avg 16.5% → last ⅓ avg 14.4%

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 · 8–13 · mirage, 18 Oct →

54%Best headshot accuracy · 10–13 · office, 28 Aug →

438msFastest reaction time · 2–13 · anubis, 9 Oct →

13–1Biggest win · ancient, 23 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

8–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 54% over 13officeWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	20	7–13	35%	0.02
mirage	D	16	5–11	31%	0.01
inferno	C	16	7–9	44%	0.01
cache	B	13	7–6	54%	0.01
dust2	D	9	3–6	33%	0.01
ancient	C	8	3–5	38%	-0.04
anubis	C	7	3–4	43%	-0.01
office	D	5	0–5	0%	-0.03
overpass	—	2	0–2	0%	-0.00
vertigo	—	1	1–0	100%	0.01
train	—	1	1–0	100%	0.05
shelter	—	1	0–1	0%	0.04
fachwerk	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Lifetime stats

84,205Lifetime kills

0.93K/D

4,807Matches

44.2%Match win rate

40.5%Headshot %

8.3%Shot accuracy

10,380MVPs

1,902Hours (in match)

4,036Bombs planted

1,197Bombs defused

Most-used weapons

AK-4725,680

M4A4 / M4A1-S13,791

MAC-105,186

AWP4,548

MP94,485

P2000 / USP-S4,352

Glock-183,933

Desert Eagle3,346

MAG-72,363

FAMAS1,655

Lifetime map wins

9,573nuke

7,096inferno

3,497vertigo

2,235dust2

2,049office

1,805train

141lake

76italy

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

Faceit stats

Combat

272Matches

54%Win rate

1.11Avg K/D

86.0ADR

41%Headshot %

Clutches & streaks

48%1v1 clutch win

29%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	46	50%	1.09	14.9
Nuke	38	66%	1.25	17.1
Inferno	19	68%	1.15	18.2
Vertigo	15	60%	0.89	14.6
Anubis	15	40%	0.94	14.0
Ancient	13	38%	0.92	14.8
Dust2	11	64%	1.20	18.9
Overpass	10	80%	1.24	15.5

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.

14.4%Headshot accuracy

35.6%Accuracy (enemy spotted)

32.4%Spray accuracy

72.7%Counter-strafing

11.9°Preaim

601msReaction time

63.1%T opening success

61.3%CT opening success

0.62Enemies flashed / flash

6.2%Flash assists

9.41HE damage / grenade

15.41Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3512% — below the 15% mark we flag
Aim Training →

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.

31% win rate across 16 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
nuke	9–13	0.04	19%	1 Nov →
mirage	3–13	-0.06	24%	31 Oct →
cache	13–5	-0.05	14%	31 Oct →
ancient	13–11	-0.03	11%	30 Oct →
inferno	10–13	0.03	12%	30 Oct →
nuke	7–13	-0.02	18%	30 Oct →
cache	2–13	0.04	20%	24 Oct →
inferno	6–13	-0.02	17%	24 Oct →
cache	6–13	0.04	13%	24 Oct →
nuke	14–16	0.01	11%	18 Oct →
cache	10–13	-0.03	24%	18 Oct →
dust2	6–13	0.03	13%	18 Oct →
nuke	13–11	0.06	7%	18 Oct →
mirage	8–13	0.15	19%	18 Oct →
mirage	4–13	-0.05	10%	17 Oct →
nuke	7–13	0.01	16%	17 Oct →
dust2	8–13	-0.03	9%	17 Oct →
nuke	13–16	0.02	6%	17 Oct →
ancient	13–10	-0.00	19%	11 Oct →
mirage	13–11	-0.01	9%	11 Oct →
nuke	13–3	-0.03	16%	11 Oct →
anubis	11–13	-0.03	11%	11 Oct →
office	4–13	0.06	16%	9 Oct →
mirage	13–6	0.03	11%	9 Oct →
anubis	2–13	-0.04	13%	9 Oct →
office	9–13	-0.04	20%	9 Oct →
nuke	4–13	0.04	15%	9 Oct →
anubis	13–11	-0.01	17%	4 Oct →
mirage	13–8	0.03	18%	2 Oct →
inferno	6–13	-0.04	10%	2 Oct →
cache	13–11	-0.04	9%	2 Oct →
vertigo	13–3	0.01	13%	2 Oct →
dust2	10–13	0.12	13%	27 Sept →
mirage	5–13	-0.08	4%	27 Sept →
dust2	13–9	-0.00	15%	27 Sept →
nuke	13–10	0.10	22%	25 Sept →
inferno	13–6	0.07	12%	25 Sept →
nuke	9–13	0.02	22%	20 Sept →
dust2	5–13	0.01	13%	20 Sept →
inferno	10–13	0.02	27%	19 Sept →
nuke	15–15	0.04	22%	19 Sept →
ancient	5–13	-0.11	12%	13 Sept →
nuke	10–13	0.01	17%	12 Sept →
office	5–13	-0.07	14%	12 Sept →
nuke	13–10	0.01	17%	12 Sept →
dust2	13–11	-0.00	9%	6 Sept →
inferno	13–5	0.12	11%	6 Sept →
inferno	13–8	-0.00	15%	6 Sept →
mirage	9–13	0.01	13%	6 Sept →
ancient	3–13	-0.04	7%	5 Sept →
nuke	13–6	-0.00	17%	5 Sept →
cache	13–10	0.03	13%	5 Sept →
dust2	9–13	-0.00	8%	5 Sept →
mirage	13–9	0.08	19%	5 Sept →
nuke	5–13	0.00	22%	5 Sept →
inferno	13–8	0.02	20%	5 Sept →
mirage	1–13	-0.06	13%	5 Sept →
nuke	9–8	-0.02	9%	5 Sept →
nuke	13–3	0.00	11%	5 Sept →
ancient	6–13	-0.08	10%	5 Sept →
dust2	1–13	-0.07	0%	5 Sept →
mirage	7–13	-0.03	13%	5 Sept →
cache	4–0	0.09	40%	5 Sept →
cache	13–4	0.06	13%	30 Aug →
nuke	9–13	0.14	15%	30 Aug →
inferno	16–13	0.11	14%	30 Aug →
cache	4–13	-0.07	0%	28 Aug →
office	10–13	-0.05	54%	28 Aug →
inferno	14–16	-0.09	8%	28 Aug →
ancient	13–1	0.03	14%	23 Aug →
mirage	13–4	0.14	27%	16 Aug →
anubis	10–13	0.01	23%	16 Aug →
cache	13–5	0.07	15%	16 Aug →
overpass	5–13	-0.01	15%	16 Aug →
train	13–6	0.05	22%	16 Aug →
shelter	12–12	0.04	14%	16 Aug →
fachwerk	13–8	-0.03	18%	16 Aug →
inferno	13–4	0.07	17%	16 Aug →
cache	2–13	-0.03	11%	15 Aug →
anubis	13–11	0.03	13%	15 Aug →
office	6–13	-0.03	13%	9 Aug →
inferno	13–10	0.02	16%	9 Aug →
inferno	10–13	0.02	16%	9 Aug →
inferno	5–9	-0.15	33%	9 Aug →
cache	5–13	-0.06	17%	25 Jul →
mirage	6–13	0.05	14%	24 Jul →
nuke	5–13	-0.00	16%	19 Jul →
inferno	2–13	0.01	22%	18 Jul →
ancient	1–13	-0.05	6%	18 Jul →
cache	13–8	0.12	13%	18 Jul →
anubis	13–9	-0.01	15%	18 Jul →
dust2	13–8	0.00	12%	18 Jul →
anubis	15–15	0.00	11%	6 Jul →
inferno	11–13	-0.03	10%	5 Jul →
mirage	7–13	0.01	9%	5 Jul →
ancient	1–13	-0.06	13%	5 Jul →
mirage	5–13	-0.01	8%	3 Jul →
overpass	9–13	0.00	19%	3 Jul →
mirage	10–13	-0.02	21%	3 Jul →
nuke	10–13	-0.00	10%	3 Jul →