𝑏𝑢7𝑠𝑠𝑜𝑛 𓃶 — CS2 Stats

AE76561198362855256[U:1:402589528]Steam profile ↗✓ No bans

1,507Tracked matches83%Win rate2022Tracked since

CSDB Rating8.1 StrongPositional Player

Premier CS Rating27,510Top 5% of 175,286 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)

CSDB Leaderboard#3572 of 223421 tracked

WingmanMaster Guardian Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 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.

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. 11 days played since 1 Sep 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 27,510 +115 1 Sept – 17 Sept · 4 days played

Faceit ELO: 1,089 +0 1 Sept – 6 Sept · 3 observations

27,510Peak Premier in tracked matches

1,089Highest Faceit ELO seen on CSDB

11Days played since 2026-09-01

Faceit ELO

At peak — 1,089
Next: Level 6 at 1,201 — 112 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-09-01
Level 4 first seen 2026-09-01

Premier CS Rating

At peak — 27,510
Next: Gold band at 30,000 — 2,490 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-01
Pink band first seen 2026-09-01

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

Aim88

Positioning75

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY74–21–5Last 10074%Win rateWWWWWLLWWT

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +0.4pp headshot accuracy · −29ms 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

5–0 · 100% win rate
Avg rating 0.04
Avg headshot accuracy 23%
Avg reaction 508ms

Last 10

7–2–1 · 70% win rate
Avg rating 0.03
Avg headshot accuracy 25%
Avg reaction 537ms

Last 20

15–4–1 · 75% win rate
Avg rating 0.02
Avg headshot accuracy 25%
Avg reaction 551ms

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 (+1.9 against its own average).

Aim8.8

Utility4.5

Positioning7.5

Opening Duels7.4

Clutch3.2

Sharp aimer

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 s1mple 92% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

T openings. 78% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 78% on T to 58% on CT — first contacts on the defending side are being lost.

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

Aim8.8

Positioning7.5

Utility4.5

Mechanics6.8

Opening Duels8.6

Win Impact10.0

Composite 8.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time524ms−48ms

first ⅓ avg 572ms → last ⅓ avg 524ms

Headshot accuracy25.0%−1.7%

first ⅓ avg 26.7% → last ⅓ avg 25.0%

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

0.18Best match rating · 12–12 · dust2, 11 Sept →

56%Best headshot accuracy · 13–9 · dust2, 7 Sept →

328msFastest reaction time · 13–10 · dust2, 15 Sept →

13–1Biggest win · dust2, 14 Sept →

Across the last 100 tracked matches.

Highlights

11Longest win streak

W5Current streak

4–5In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 76% over 76anubisWeakest map · 57% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	76	58–18	76%	0.02
mirage	S	12	9–3	75%	0.01
anubis	A	7	4–3	57%	0.02
cache	—	2	1–1	50%	-0.01
ancient	—	2	1–1	50%	-0.01
nuke	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (57% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

126Matches

56%Win rate

1.19Avg K/D

84.2ADR

47%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	38	66%	1.32	18.2
Mirage	33	39%	1.11	18.3
Anubis	20	60%	1.04	15.8
Ancient	15	53%	1.23	17.5
Inferno	6	67%	1.20	14.7
Cache	5	20%	1.53	18.8
Nuke	4	100%	1.33	19.5
Vertigo	3	33%	0.61	11.3

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.

23.9%Headshot accuracy

36.7%Accuracy (enemy spotted)

36.4%Spray accuracy

80.5%Counter-strafing

7.1°Preaim

530msReaction time

78.2%T opening success

58.5%CT opening success

0.53Enemies flashed / flash

11.7%Flash assists

4.82HE damage / grenade

9.11Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.04	26%	17 Sept →
dust2	13–3	0.08	21%	17 Sept →
dust2	13–8	0.02	15%	17 Sept →
mirage	13–4	0.09	30%	17 Sept →
cache	13–7	-0.01	24%	17 Sept →
dust2	8–13	0.01	37%	17 Sept →
anubis	11–13	0.00	30%	17 Sept →
mirage	13–7	-0.02	14%	17 Sept →
dust2	13–7	0.04	38%	17 Sept →
anubis	12–12	0.04	20%	16 Sept →
dust2	13–4	0.00	21%	16 Sept →
anubis	6–13	-0.02	17%	16 Sept →
anubis	13–4	0.07	23%	16 Sept →
dust2	13–6	-0.01	32%	16 Sept →
dust2	13–6	0.03	26%	16 Sept →
dust2	13–8	-0.03	28%	16 Sept →
dust2	13–6	0.03	26%	16 Sept →
dust2	13–4	-0.07	27%	15 Sept →
mirage	11–13	0.03	23%	15 Sept →
dust2	13–9	-0.01	27%	15 Sept →
dust2	13–4	0.02	25%	15 Sept →
anubis	13–10	0.01	13%	15 Sept →
dust2	13–8	-0.05	18%	15 Sept →
dust2	13–9	0.07	10%	15 Sept →
dust2	13–10	0.11	36%	15 Sept →
dust2	13–10	0.11	22%	15 Sept →
dust2	10–13	0.02	35%	15 Sept →
dust2	13–8	-0.02	13%	15 Sept →
dust2	13–5	0.05	32%	14 Sept →
dust2	13–8	-0.04	14%	14 Sept →
anubis	13–4	0.04	33%	14 Sept →
dust2	13–1	0.01	38%	14 Sept →
mirage	13–8	-0.01	36%	14 Sept →
dust2	13–8	-0.02	22%	14 Sept →
mirage	13–2	0.08	38%	14 Sept →
dust2	13–4	-0.06	50%	14 Sept →
dust2	13–9	0.03	45%	13 Sept →
ancient	13–3	-0.08	20%	13 Sept →
dust2	3–13	-0.05	29%	13 Sept →
dust2	3–13	-0.00	17%	13 Sept →
dust2	3–13	-0.06	33%	13 Sept →
mirage	13–10	0.05	24%	13 Sept →
mirage	13–6	0.03	19%	13 Sept →
dust2	13–4	0.12	30%	13 Sept →
mirage	12–12	-0.04	16%	13 Sept →
mirage	13–4	-0.09	29%	12 Sept →
dust2	13–10	-0.06	17%	12 Sept →
ancient	8–13	0.06	21%	12 Sept →
dust2	13–10	-0.03	15%	12 Sept →
dust2	13–5	-0.00	27%	12 Sept →
dust2	13–1	0.05	30%	12 Sept →
dust2	7–13	-0.01	43%	12 Sept →
dust2	13–5	0.11	33%	12 Sept →
dust2	13–9	0.03	34%	12 Sept →
dust2	13–1	-0.00	31%	12 Sept →
dust2	13–4	0.10	27%	12 Sept →
dust2	2–13	-0.01	34%	12 Sept →
dust2	13–7	0.04	18%	12 Sept →
dust2	13–11	0.01	16%	12 Sept →
dust2	11–13	0.02	21%	12 Sept →
dust2	13–8	0.09	31%	11 Sept →
dust2	13–9	0.01	38%	11 Sept →
dust2	12–12	0.18	33%	11 Sept →
dust2	1–13	-0.12	0%	11 Sept →
dust2	13–11	0.01	14%	11 Sept →
dust2	13–8	-0.01	25%	11 Sept →
dust2	13–3	-0.04	15%	11 Sept →
dust2	13–3	-0.01	27%	11 Sept →
dust2	13–2	0.06	36%	11 Sept →
dust2	10–13	-0.02	32%	11 Sept →
dust2	13–2	-0.01	16%	11 Sept →
mirage	13–11	-0.03	28%	11 Sept →
dust2	7–13	0.01	18%	10 Sept →
dust2	13–8	0.08	27%	10 Sept →
dust2	12–12	0.00	21%	10 Sept →
dust2	13–9	0.02	25%	10 Sept →
dust2	3–13	0.01	28%	10 Sept →
dust2	13–2	0.04	29%	10 Sept →
dust2	5–13	-0.03	45%	9 Sept →
dust2	13–9	0.02	33%	9 Sept →
dust2	13–7	0.09	20%	9 Sept →
mirage	13–11	-0.01	22%	9 Sept →
nuke	13–3	-0.01	33%	9 Sept →
dust2	13–8	0.05	33%	9 Sept →
anubis	13–7	0.03	35%	9 Sept →
dust2	13–8	-0.08	10%	9 Sept →
dust2	7–0	-0.01	30%	9 Sept →
dust2	7–13	-0.03	15%	8 Sept →
dust2	13–7	-0.03	14%	8 Sept →
dust2	12–12	-0.08	21%	8 Sept →
dust2	13–8	0.01	31%	8 Sept →
dust2	13–8	0.11	28%	8 Sept →
dust2	13–3	0.02	24%	8 Sept →
dust2	13–8	0.06	24%	8 Sept →
dust2	13–7	-0.00	25%	8 Sept →
mirage	10–13	0.02	22%	8 Sept →
dust2	11–13	-0.00	20%	8 Sept →
dust2	13–9	0.04	56%	7 Sept →
dust2	13–1	0.08	38%	7 Sept →
cache	11–13	-0.02	18%	7 Sept →