ℬℯ𝓁𝓁𝒶 ♡ — CS2 Stats

76561199079976169[U:1:1119710441]Steam profile ↗✓ No bans

1,690Tracked matches53%Win rate2025Tracked since

CSDB Rating5.2 DevelopingPositional Player

Premier CS Rating17,980Purple band · top ~16.5% of ranked players (population est.)

CSDB Leaderboard#107196 of 247934 tracked

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (2 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: 17,980 +4,756 6 Sept – 30 Sept · 17 days played

19,301Peak Premier in tracked matches

1,299Highest Faceit ELO seen on CSDB

17Days played since 2026-09-06

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

970 below peak (18,950)
+4,756 over 30 days · improving
Next: Pink band at 20,000 — 2,020 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.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim61

Positioning54

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLLWWLWWLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −3.7pp headshot accuracy · −2ms reaction

Win rate down 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

2–3 · 40% win rate
Avg rating -0.05
Avg headshot accuracy 15%
Avg reaction 592ms

Last 10

4–6 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 15%
Avg reaction 570ms

Last 20

10–10 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 571ms

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 (+1.7 against its own average).

Aim6.1

Utility4.3

Positioning5.4

Opening Duels3.5

Clutch1.8

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 90% 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

Areas to improve

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim6.1

Positioning5.4

Utility4.3

Mechanics4.1

Opening Duels4.3

Win Impact6.1

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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time566ms−51ms

first ⅓ avg 617ms → last ⅓ avg 566ms

Headshot accuracy15.6%+2.2%

first ⅓ avg 13.5% → last ⅓ avg 15.6%

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

0.13Best match rating · 13–2 · nuke, 27 Sept →

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

438msFastest reaction time · 10–13 · nuke, 26 Sept →

13–0Biggest win · ancient, 11 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

L2Current streak

13–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 63% over 19nukeWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	19	12–7	63%	-0.00
ancient	B	16	8–8	50%	-0.01
anubis	A	16	9–7	56%	-0.02
mirage	A	14	8–6	57%	-0.03
nuke	C	12	5–7	42%	-0.02
dust2	C	12	5–7	42%	0.01
cache	A	8	5–3	63%	0.01
office	—	1	1–0	100%	0.01
vertigo	—	1	0–1	0%	-0.04
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

46Matches

54%Win rate

0.79Avg K/D

63.1ADR

41%Headshot %

Clutches & streaks

29%1v1 clutch win

16%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	11	27%	0.64	10.9
Mirage	9	89%	1.13	13.2
Anubis	8	75%	0.75	13.9
Dust2	7	57%	0.69	9.6
Ancient	5	20%	0.53	9.2
Overpass	2	50%	1.12	14.0
Train	1	0%	0.24	4.0
Cache	1	100%	1.06	17.0

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.

16.1%Headshot accuracy

32.8%Accuracy (enemy spotted)

34.1%Spray accuracy

68.5%Counter-strafing

8.3°Preaim

562msReaction time

46.4%T opening success

48.0%CT opening success

0.50Enemies flashed / flash

8.6%Flash assists

7.88HE damage / grenade

3.60Flashes / 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 3.5961 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
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 →
ancient	13–5	0.01	22%	21 Sept →
inferno	13–9	-0.02	10%	21 Sept →
ancient	16–14	-0.04	11%	21 Sept →
inferno	13–9	-0.02	18%	21 Sept →
mirage	13–10	-0.03	24%	21 Sept →
anubis	13–11	-0.05	25%	21 Sept →
inferno	13–6	0.01	17%	20 Sept →
dust2	13–11	0.03	14%	20 Sept →
ancient	13–16	-0.00	13%	20 Sept →
ancient	3–13	-0.02	16%	19 Sept →
dust2	5–13	0.06	22%	19 Sept →
anubis	0–13	-0.07	14%	19 Sept →
dust2	5–13	0.02	21%	19 Sept →
inferno	13–3	0.11	18%	19 Sept →
anubis	14–16	0.03	12%	19 Sept →
inferno	10–13	-0.05	9%	18 Sept →
dust2	2–13	-0.10	8%	18 Sept →
overpass	6–13	-0.05	5%	15 Sept →
anubis	10–13	0.01	17%	15 Sept →
nuke	10–13	-0.04	13%	15 Sept →
ancient	6–13	-0.06	13%	15 Sept →
ancient	13–5	-0.04	7%	15 Sept →
inferno	16–13	-0.01	14%	15 Sept →
cache	10–13	-0.03	14%	15 Sept →
dust2	14–16	-0.02	13%	15 Sept →
ancient	7–13	-0.03	11%	15 Sept →
ancient	11–13	-0.02	5%	15 Sept →
inferno	15–15	-0.05	12%	14 Sept →
dust2	5–13	0.02	14%	14 Sept →
cache	13–4	0.02	27%	14 Sept →
dust2	13–8	0.03	16%	14 Sept →
mirage	5–13	-0.09	9%	13 Sept →
inferno	8–13	-0.08	9%	13 Sept →
nuke	9–13	0.02	18%	13 Sept →
inferno	5–13	0.05	16%	13 Sept →
ancient	6–13	0.04	10%	13 Sept →
anubis	13–6	-0.02	10%	13 Sept →
mirage	13–1	-0.00	22%	12 Sept →
mirage	16–13	0.00	18%	12 Sept →
ancient	13–11	-0.02	10%	12 Sept →
cache	13–3	0.06	16%	12 Sept →
inferno	13–11	0.05	11%	12 Sept →
nuke	13–8	-0.04	26%	11 Sept →
inferno	9–13	-0.04	15%	11 Sept →
ancient	13–0	0.04	14%	11 Sept →
cache	13–6	0.01	18%	11 Sept →
dust2	13–11	0.02	18%	11 Sept →
anubis	13–8	-0.01	17%	11 Sept →
inferno	13–11	0.07	15%	11 Sept →
ancient	13–9	-0.03	10%	11 Sept →
nuke	13–10	-0.02	15%	11 Sept →
mirage	7–13	0.02	7%	11 Sept →
inferno	13–6	0.08	12%	11 Sept →
nuke	11–13	-0.06	14%	11 Sept →
anubis	9–13	-0.04	17%	11 Sept →
ancient	13–9	-0.02	10%	11 Sept →
mirage	13–11	0.04	13%	11 Sept →
cache	13–8	0.03	11%	11 Sept →
anubis	13–8	-0.04	11%	11 Sept →
inferno	10–13	-0.06	10%	7 Sept →
ancient	9–13	0.00	9%	7 Sept →
dust2	15–15	-0.01	11%	7 Sept →
nuke	13–9	-0.06	16%	7 Sept →
mirage	13–10	-0.04	18%	7 Sept →
anubis	9–13	-0.10	6%	7 Sept →
mirage	13–8	0.04	12%	7 Sept →
ancient	13–11	0.01	22%	7 Sept →
anubis	13–8	0.01	15%	6 Sept →
mirage	5–13	-0.06	8%	6 Sept →
inferno	13–8	-0.03	7%	6 Sept →
cache	15–15	0.09	13%	6 Sept →