Claraaaaღ ✿ — CS2 Stats

76561198300657459[U:1:340391731]Steam profile ↗✓ No bans

2,487Tracked matches60%Win rate2020Tracked since

4,889Hours in CS64Hrs last 2 wks

CSDB Rating5.3 DevelopingPositional Player

CSDB Leaderboard#239530 of 259901 tracked

FaceitLevel 10 · 1,737 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (64 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,737 → 1,737

+281Tracked matches · now 2,487

+13.3ppWin rate · 46.7% → 60.0%

Rating over time

1,737Highest Faceit ELO seen on CSDB

29Days played since 2026-09-01

Faceit ELO

At peak — 1,737
Next: Level 9 at 1,751 — 14 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-09-01
Level 7 first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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	43.5%	50.9%
Shot accuracy	13.1%	13.7%
Kill/death ratio	0.93	1.09
Match win rate	49.1%	48.4%

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Performance scores

Aim62

Positioning61

Utility36

0–100 skill scores via Leetify.

Recent form

HOT55–45Last 10055%Win rateWWWLLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +0.3pp headshot accuracy · −25ms reaction

Win rate up 20pp 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

3–2 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 15%
Avg reaction 514ms

Last 10

7–3 · 70% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 542ms

Last 20

12–8 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 554ms

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 (+2.3 against its own average).

Aim6.2

Utility3.6

Positioning6.1

Opening Duels2.3

Clutch3.0

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 jL 84% 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

Areas to improve

Reaction time. 551ms 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

Aim6.2

Positioning6.1

Utility3.6

Mechanics5.0

Opening Duels3.7

Win Impact8.3

Composite 5.3/10 (Developing), 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-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time551ms−3ms

first ⅓ avg 555ms → last ⅓ avg 551ms

Headshot accuracy16.1%−0.2%

first ⅓ avg 16.3% → last ⅓ avg 16.1%

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

0.13Best match rating · 13–0 · dust2, 24 Oct →

29%Best headshot accuracy · 13–6 · anubis, 9 Oct →

375msFastest reaction time · 4–13 · dust2, 24 Oct →

13–0Biggest win · dust2, 24 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W3Current streak

10–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 74% over 23cacheWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	26	11–15	42%	-0.02
anubis	S	23	17–6	74%	0.00
nuke	B	21	10–11	48%	-0.00
dust2	A	21	12–9	57%	-0.01
cache	C	5	2–3	40%	-0.03
mirage	—	3	2–1	67%	-0.05
ancient	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Lifetime stats

111,662Lifetime kills

0.93K/D

6,168Matches

49.1%Match win rate · Top 50% of Level 10 players

43.5%Headshot %

13.1%Shot accuracy

14,262MVPs

2,854Hours (in match)

9,317Bombs planted

1,676Bombs defused

Most-used weapons

AK-4737,597

M4A4 / M4A1-S28,682

P2000 / USP-S6,411

AWP5,881

Glock-184,355

Desert Eagle4,075

MAC-103,529

MP93,071

FAMAS2,577

UMP-452,021

Lifetime map wins

28,881nuke

13,327dust2

9,926inferno

2,191vertigo

397train

205cbble

102lake

86office

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

Faceit stats

Combat

1,610Matches

51%Win rate

1.08Avg K/D

76.9ADR

47%Headshot %

Clutches & streaks

35%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	301	50%	1.09	15.7
Inferno	225	51%	1.01	14.8
Anubis	183	52%	0.98	15.9
Mirage	169	42%	0.99	15.3
Nuke	148	61%	1.24	17.8
Ancient	76	47%	0.94	14.7
Cache	43	42%	0.88	14.1
Overpass	36	44%	1.12	16.1

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.

15.6%Headshot accuracy

30.5%Accuracy (enemy spotted)

38.2%Spray accuracy

72.7%Counter-strafing

9.0°Preaim

551msReaction time

50.0%T opening success

39.8%CT opening success

0.34Enemies flashed / flash

3.5%Flash assists

8.42HE damage / grenade

3.21Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3399 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.8051% — below the 40% mark we flag

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

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