ℬℯ𝓁𝓁𝒶 ♡ — CS2 Stats

EE76561199079976169[U:1:1119710441]Steam profile ↗✓ No bans

1,764Tracked matches55%Win rate2025Tracked since

CSDB Rating4.2 DevelopingSupport

Premier CS Rating17,332Purple band · top ~19.1% of ranked players (population est.)

CSDB Leaderboard#119407 of 256258 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 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: 17,332 -1,618 12 Sept – 21 Oct · 22 days played

19,682Peak Premier in tracked matches

1,299Highest Faceit ELO seen on CSDB

21Days played since 2026-09-12

Faceit ELO

At peak — 1,299
Next: Level 7 at 1,351 — 52 to go
Reached: Level 6 · Level 5 · Level 4 · Level 3
Level 6 first seen 2026-09-12
Level 5 first seen 2026-09-12

Premier CS Rating

2,307 below peak (19,639)
-672 over 30 days · declining
Next: Pink band at 20,000 — 2,668 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-12
Blue band first seen 2026-09-12

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.

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Performance scores

Aim49

Positioning34

Utility52

0–100 skill scores via Leetify.

Recent form

HOT48–49–3Last 10048%Win rateWWLLWWWLWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −3.8pp headshot accuracy · +2ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 9%
Avg reaction 630ms

Last 10

7–3 · 70% win rate
Avg rating -0.03
Avg headshot accuracy 11%
Avg reaction 607ms

Last 20

12–8 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 13%
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: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim4.9

Utility5.2

Positioning3.4

Opening Duels0.0

Clutch1.4

Strong CT-side openerEffective flashesLimited 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 ZywOo 81% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.9

Positioning3.4

Utility5.2

Mechanics3.2

Opening Duels0.9

Win Impact6.7

Composite 4.2/10 (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 rating-0.02−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time602ms+35ms

first ⅓ avg 566ms → last ⅓ avg 602ms

Headshot accuracy14.8%−1.0%

first ⅓ avg 15.8% → last ⅓ avg 14.8%

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 · 13–2 · nuke, 27 Sept →

30%Best headshot accuracy · 13–2 · dust2, 26 Sept →

406msFastest reaction time · 2–13 · ancient, 11 Oct →

13–1Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W2Current streak

9–7In matches decided by ≤2 rounds

15Overtime games

Map breakdown

cacheBest map · 58% over 12ancientWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	16	8–8	50%	-0.02
inferno	A	16	9–7	56%	-0.01
mirage	C	14	6–8	43%	-0.02
anubis	B	14	7–7	50%	-0.01
nuke	B	13	7–6	54%	-0.01
ancient	D	12	3–9	25%	-0.02
cache	A	12	7–5	58%	-0.04
overpass	—	1	0–1	0%	-0.20
office	—	1	1–0	100%	0.01
vertigo	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

52Matches

52%Win rate

0.79Avg K/D

63.7ADR

42%Headshot %

Clutches & streaks

27%1v1 clutch win

17%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	12	25%	0.64	10.8
Mirage	12	83%	1.10	14.2
Anubis	9	67%	0.71	13.2
Dust2	7	57%	0.69	9.6
Ancient	5	20%	0.53	9.2
Overpass	2	50%	1.12	14.0
Cache	2	50%	0.74	12.0
Train	1	0%	0.24	4.0

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.

14.1%Headshot accuracy

32.3%Accuracy (enemy spotted)

35.1%Spray accuracy

64.5%Counter-strafing

9.2°Preaim

595msReaction time

26.3%T opening success

37.4%CT opening success

0.71Enemies flashed / flash

10.5%Flash assists

7.67HE damage / grenade

5.00Flashes / 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 14.141% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 26.2842% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–11	-0.02	6%	21 Oct →
dust2	13–7	-0.04	1%	21 Oct →
cache	2–13	-0.10	7%	19 Oct →
nuke	7–13	0.01	17%	19 Oct →
cache	13–3	-0.02	11%	18 Oct →
mirage	13–6	0.02	16%	16 Oct →
nuke	13–6	-0.02	18%	16 Oct →
dust2	5–13	-0.01	10%	16 Oct →
nuke	4–2	-0.05	17%	16 Oct →
cache	13–11	-0.07	10%	16 Oct →
nuke	13–16	0.02	8%	16 Oct →
inferno	8–13	0.02	19%	14 Oct →
inferno	12–16	-0.02	10%	14 Oct →
dust2	13–8	0.00	10%	14 Oct →
anubis	8–13	-0.06	12%	14 Oct →
inferno	16–13	-0.05	16%	14 Oct →
inferno	13–5	0.03	19%	13 Oct →
inferno	13–6	-0.01	16%	13 Oct →
dust2	13–5	-0.02	28%	13 Oct →
mirage	13–16	0.02	14%	13 Oct →
ancient	7–13	-0.06	7%	13 Oct →
ancient	16–13	0.02	17%	12 Oct →
dust2	9–13	0.00	20%	12 Oct →
dust2	10–13	-0.04	11%	12 Oct →
ancient	9–13	0.00	19%	11 Oct →
ancient	2–13	0.01	9%	11 Oct →
ancient	15–15	-0.06	18%	11 Oct →
mirage	13–3	0.00	24%	11 Oct →
cache	13–8	-0.05	18%	11 Oct →
mirage	13–11	0.02	18%	11 Oct →
dust2	14–16	-0.04	16%	11 Oct →
mirage	4–13	-0.06	22%	11 Oct →
dust2	13–7	0.10	22%	11 Oct →
cache	13–11	-0.00	12%	11 Oct →
anubis	7–13	-0.01	15%	10 Oct →
mirage	13–9	-0.03	19%	10 Oct →
nuke	13–10	-0.03	11%	10 Oct →
inferno	15–15	0.04	16%	10 Oct →
dust2	4–13	-0.08	16%	10 Oct →
anubis	8–13	0.11	9%	10 Oct →
cache	13–10	-0.03	9%	10 Oct →
inferno	13–6	0.00	9%	10 Oct →
anubis	3–13	-0.09	10%	10 Oct →
mirage	4–13	0.02	20%	10 Oct →
inferno	11–13	-0.00	25%	10 Oct →
anubis	16–13	-0.06	11%	9 Oct →
inferno	5–13	-0.02	8%	9 Oct →
nuke	13–10	-0.05	8%	9 Oct →
mirage	11–13	-0.02	23%	9 Oct →
ancient	7–13	-0.08	16%	9 Oct →
dust2	7–13	-0.06	19%	9 Oct →
dust2	13–7	-0.03	16%	9 Oct →
inferno	6–13	-0.09	6%	9 Oct →
mirage	6–13	-0.06	8%	5 Oct →
dust2	9–13	-0.04	15%	5 Oct →
inferno	13–5	-0.02	17%	5 Oct →
ancient	13–5	0.05	27%	4 Oct →
cache	9–13	-0.05	25%	4 Oct →
cache	15–15	-0.05	13%	4 Oct →
ancient	7–13	0.00	10%	4 Oct →
overpass	1–9	-0.20	16%	4 Oct →
cache	13–16	-0.03	9%	4 Oct →
nuke	13–5	0.07	12%	4 Oct →
inferno	13–10	-0.00	12%	4 Oct →
ancient	4–13	-0.11	14%	4 Oct →
dust2	13–9	-0.02	17%	3 Oct →
anubis	13–4	0.00	19%	3 Oct →
cache	13–4	-0.04	21%	2 Oct →
ancient	10–13	-0.01	15%	2 Oct →
anubis	13–7	-0.02	11%	2 Oct →
anubis	11–13	0.01	18%	2 Oct →
mirage	4–13	-0.06	15%	30 Sept →
mirage	3–13	-0.08	14%	30 Sept →
nuke	13–8	-0.01	11%	30 Sept →
mirage	13–8	-0.03	16%	30 Sept →
mirage	5–13	-0.07	20%	30 Sept →
inferno	13–4	-0.01	14%	30 Sept →
inferno	16–14	-0.03	17%	29 Sept →
cache	3–13	-0.04	4%	29 Sept →
nuke	5–13	-0.02	16%	28 Sept →
nuke	13–16	-0.05	18%	28 Sept →
office	13–11	0.01	24%	28 Sept →
vertigo	11–13	-0.04	17%	28 Sept →
mirage	13–10	-0.01	18%	28 Sept →
nuke	8–13	-0.06	6%	27 Sept →
cache	13–7	-0.04	24%	27 Sept →
nuke	13–2	0.13	15%	27 Sept →
ancient	11–13	-0.01	17%	27 Sept →
anubis	13–4	-0.03	12%	27 Sept →
nuke	10–13	-0.03	20%	26 Sept →
dust2	13–2	0.03	30%	26 Sept →
anubis	13–2	0.01	2%	26 Sept →
anubis	8–13	-0.03	20%	25 Sept →
dust2	7–13	-0.03	16%	25 Sept →
anubis	13–11	0.00	20%	25 Sept →
anubis	16–14	-0.00	12%	25 Sept →
dust2	13–5	0.02	10%	25 Sept →
inferno	13–1	0.09	18%	25 Sept →
inferno	7–13	-0.07	13%	25 Sept →
anubis	14–16	0.01	16%	21 Sept →