B🅛🅐🅒🅚S🅜🅘🅣H — CS2 Stats

LV76561199580145458[U:1:1619879730]Steam profile ↗✓ No bans

2,333Tracked matches39%Win rate2023Tracked since

CSDB Rating5.7 SolidSupport

Premier CS Rating12,698Blue band · top ~40.6% of ranked players (population est.)

CSDB Leaderboard#144220 of 221169 tracked

FaceitLevel 6 · 1,466 ELOTop 54.0% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (13 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 17 days played since 15 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,698 -2,836 15 Aug – 4 Sept · 17 days played

17,331Peak Premier in tracked matches

1,466Highest Faceit ELO seen on CSDB

17Days played since 2026-08-15

Faceit ELO

At peak — 1,466
Next: Level 8 at 1,531 — 65 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

3,627 below peak (16,325)
Next: Purple band at 15,000 — 2,302 to go
Reached: Purple band · Blue band · Light Blue band

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

Aim84

Positioning50

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateWLWLWWLWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −0.4pp headshot accuracy · +22ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 25%
Avg reaction 661ms

Last 10

6–4 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 26%
Avg reaction 632ms

Last 20

10–10 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 26%
Avg reaction 621ms

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 against its own average).

Aim8.4

Utility6.5

Positioning5.0

Opening Duels3.2

Clutch3.4

Effective flashes

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 b1t 92% playstyle similarity

Most alike: utility contribution, positioning 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

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 607ms 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

Aim8.4

Positioning5.0

Utility6.5

Mechanics7.7

Opening Duels2.4

Win Impact1.4

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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time609ms−13ms

first ⅓ avg 622ms → last ⅓ avg 609ms

Headshot accuracy24.9%+2.5%

first ⅓ avg 22.5% → last ⅓ avg 24.9%

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

0.17Best match rating · 13–4 · dust2, 31 Aug →

100%Best headshot accuracy · 1–7 · mirage, 1 Sept →

422msFastest reaction time · 4–13 · inferno, 31 Aug →

13–0Biggest win · mirage, 18 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 58% over 12cacheWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	19	7–12	37%	0.02
inferno	B	19	10–9	53%	0.02
ancient	C	18	8–10	44%	-0.00
mirage	B	15	7–8	47%	0.01
nuke	A	12	7–5	58%	0.03
cache	D	8	2–6	25%	-0.01
anubis	D	8	2–6	25%	0.01
train	—	1	1–0	100%	-0.07

Across the last 100 tracked matches.

Faceit stats

Combat

311Matches

50%Win rate

1.13Avg K/D

80.7ADR

44%Headshot %

Clutches & streaks

37%1v1 clutch win

24%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	66	53%	1.17	17.7
Mirage	58	52%	1.12	16.5
Anubis	51	47%	1.03	16.3
Inferno	43	51%	1.04	17.1
Ancient	40	45%	1.13	16.8
Nuke	32	56%	1.35	17.2
Vertigo	11	45%	1.21	13.7
Train	4	25%	0.71	12.0

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.

24.0%Headshot accuracy

36.6%Accuracy (enemy spotted)

36.0%Spray accuracy

84.7%Counter-strafing

8.0°Preaim

607msReaction time

40.4%T opening success

38.8%CT opening success

0.78Enemies flashed / flash

10.1%Flash assists

11.10HE damage / grenade

7.50Flashes / 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 38.7915% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–5	0.03	27%	4 Sept →
nuke	9–13	-0.03	33%	4 Sept →
mirage	13–3	0.04	32%	4 Sept →
dust2	4–13	-0.04	12%	4 Sept →
inferno	13–8	-0.02	18%	4 Sept →
nuke	13–9	0.04	14%	4 Sept →
inferno	8–13	-0.02	30%	4 Sept →
inferno	9–5	0.04	50%	4 Sept →
nuke	5–13	-0.01	20%	4 Sept →
cache	13–3	-0.01	20%	4 Sept →
ancient	4–13	-0.02	17%	4 Sept →
nuke	9–7	0.08	38%	4 Sept →
inferno	9–3	0.07	33%	4 Sept →
dust2	11–13	0.04	20%	3 Sept →
inferno	14–16	0.03	26%	3 Sept →
anubis	3–13	-0.03	14%	3 Sept →
nuke	7–13	-0.04	38%	3 Sept →
anubis	13–7	0.01	11%	3 Sept →
cache	4–13	-0.05	32%	3 Sept →
ancient	13–11	0.03	31%	3 Sept →
nuke	9–13	0.04	38%	3 Sept →
anubis	14–16	0.10	24%	2 Sept →
inferno	7–13	0.05	17%	2 Sept →
mirage	9–13	-0.03	14%	2 Sept →
dust2	13–3	0.16	19%	2 Sept →
dust2	13–4	0.08	30%	2 Sept →
dust2	9–13	-0.01	22%	2 Sept →
train	9–1	-0.07	8%	2 Sept →
cache	12–12	0.07	38%	1 Sept →
mirage	2–13	-0.02	16%	1 Sept →
ancient	15–15	0.04	18%	1 Sept →
inferno	13–11	0.09	35%	1 Sept →
dust2	9–13	0.04	27%	1 Sept →
mirage	13–6	-0.04	42%	1 Sept →
anubis	11–13	0.04	15%	1 Sept →
anubis	2–13	0.05	24%	1 Sept →
inferno	13–10	0.06	36%	1 Sept →
dust2	15–15	0.04	18%	1 Sept →
inferno	16–14	0.05	12%	1 Sept →
nuke	13–2	0.07	31%	1 Sept →
mirage	1–7	-0.03	100%	1 Sept →
ancient	13–16	0.05	29%	31 Aug →
inferno	3–13	-0.03	23%	31 Aug →
inferno	8–13	0.02	19%	31 Aug →
inferno	10–13	0.04	32%	31 Aug →
mirage	7–13	0.09	24%	31 Aug →
inferno	4–13	-0.02	32%	31 Aug →
nuke	13–5	0.09	22%	31 Aug →
dust2	13–4	0.17	23%	31 Aug →
dust2	13–6	0.13	27%	31 Aug →
nuke	13–3	-0.01	20%	31 Aug →
ancient	13–11	-0.02	8%	30 Aug →
ancient	11–13	-0.02	25%	30 Aug →
dust2	13–10	-0.02	33%	30 Aug →
dust2	6–13	-0.10	23%	30 Aug →
mirage	8–13	-0.02	32%	30 Aug →
inferno	13–3	0.01	14%	29 Aug →
dust2	13–8	-0.04	43%	29 Aug →
nuke	13–16	0.04	25%	29 Aug →
cache	13–4	-0.02	18%	29 Aug →
mirage	2–13	-0.06	14%	29 Aug →
dust2	2–13	-0.05	12%	29 Aug →
inferno	16–12	0.00	28%	27 Aug →
mirage	16–14	-0.06	14%	24 Aug →
anubis	2–13	-0.07	26%	24 Aug →
inferno	8–13	-0.04	11%	24 Aug →
ancient	10–13	-0.07	11%	24 Aug →
mirage	13–4	0.06	14%	24 Aug →
anubis	13–8	0.00	30%	23 Aug →
cache	8–13	-0.01	8%	22 Aug →
inferno	3–13	-0.06	24%	22 Aug →
inferno	13–11	-0.02	32%	22 Aug →
dust2	5–13	-0.02	14%	22 Aug →
mirage	11–13	0.01	18%	21 Aug →
mirage	10–13	-0.06	19%	21 Aug →
dust2	11–13	-0.05	20%	21 Aug →
ancient	5–13	0.11	35%	21 Aug →
ancient	13–5	0.02	19%	21 Aug →
dust2	13–11	0.03	29%	19 Aug →
ancient	12–16	-0.06	17%	18 Aug →
ancient	13–9	-0.01	20%	18 Aug →
dust2	7–13	-0.02	34%	18 Aug →
mirage	13–0	0.11	23%	18 Aug →
nuke	13–5	0.08	35%	18 Aug →
cache	13–16	-0.03	33%	17 Aug →
ancient	13–3	0.03	23%	16 Aug →
ancient	8–13	-0.06	18%	16 Aug →
nuke	13–10	-0.05	22%	16 Aug →
dust2	12–16	-0.02	25%	16 Aug →
inferno	13–6	0.09	30%	16 Aug →
ancient	8–13	-0.03	23%	16 Aug →
dust2	7–13	0.02	19%	15 Aug →
ancient	13–9	0.02	32%	15 Aug →
mirage	13–3	0.11	18%	15 Aug →
ancient	6–13	-0.04	17%	15 Aug →
mirage	13–9	0.07	23%	15 Aug →
cache	11–13	-0.01	16%	15 Aug →
ancient	2–0	0.00	0%	15 Aug →
cache	13–16	-0.03	27%	15 Aug →
anubis	7–13	-0.04	26%	15 Aug →