badmaN🎯 — CS2 Stats

GB76561198007596286[U:1:47330558]Steam profile ↗✓ No bans

1,743Tracked matches67%Win rate2020Tracked since

4,283Hours in CS

CSDB Rating8.2 StrongPositional Player

Premier CS Rating24,767Top 25% of 185,711 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)

CSDB Leaderboard#23206 of 230910 tracked

FaceitLevel 10 · 2,023 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (8 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. 23 days played since 27 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: 24,767 +3,140 4 Sept – 12 Sept · 7 days played

24,767Peak Premier in tracked matches

2,023Highest Faceit ELO seen on CSDB

23Days played since 2026-08-27

Faceit ELO

At peak — 2,023
Next: 2,500 ELO at 2,500 — 477 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-04
Level 9 first seen 2026-09-04

Premier CS Rating

At peak — 24,767
Next: Red band at 25,000 — 233 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-04
Purple band first seen 2026-09-04

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.

Compare periods

Last 7 days vs previous 7

Metric	Last 7	Previous 7	Change
Matches	44	25	+19
Win rate	61%	52%	+9pp
K/D	1.70	2.30	−0.60
Headshot %	60%	71%	−10pp

Measured 11 Sep 2026 → 20 Sep 2026; previous 6 Sep 2026 → 11 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=27,259), 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	66.4%	51.0%
Shot accuracy	5.7%	13.7%
Kill/death ratio	1.30	1.09
Match win rate	39.1%	48.4%

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Performance scores

Aim93

Positioning80

Utility58

0–100 skill scores via Leetify.

Recent form

HOT66–30–4Last 10066%Win rateWWLWWLLWWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −3.1pp headshot accuracy · −2ms 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

4–1 · 80% win rate
Avg rating 0.02
Avg headshot accuracy 23%
Avg reaction 491ms

Last 10

7–3 · 70% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 535ms

Last 20

13–7 · 65% win rate
Avg rating 0.02
Avg headshot accuracy 24%
Avg reaction 536ms

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 (+2.2 against its own average).

Aim9.3

Utility5.8

Positioning8.0

Opening Duels5.4

Clutch4.0

Sharp aimerStrong positioning

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 iM 91% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

T openings. 68% 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 68% on T to 49% 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

Aim9.3

Positioning8.0

Utility5.8

Mechanics7.1

Opening Duels7.2

Win Impact10.0

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time540ms−31ms

first ⅓ avg 571ms → last ⅓ avg 540ms

Headshot accuracy23.7%+1.8%

first ⅓ avg 21.9% → last ⅓ avg 23.7%

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

0.16Best match rating · 13–11 · dust2, 7 Sept →

52%Best headshot accuracy · 16–13 · anubis, 14 Sept →

406msFastest reaction time · 7–13 · inferno, 19 Sept →

13–1Biggest win · anubis, 18 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W2Current streak

8–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 81% over 21infernoWeakest map · 50% over 16

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	26	17–9	65%	0.01
anubis	S	21	17–4	81%	0.02
dust2	A	19	12–7	63%	0.03
inferno	B	16	8–8	50%	0.00
nuke	A	10	6–4	60%	0.03
cache	S	8	6–2	75%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

175,445Lifetime kills

1.30K/D · Top 25% of Level 10 players

3,698Matches

39.1%Match win rate

66.4%Headshot % · Top 10% of Level 10 players

5.7%Shot accuracy

8,293MVPs

4,283Hours (in match)

5,008Bombs planted

1,676Bombs defused

Most-used weapons

AK-4794,505

AWP20,435

M4A4 / M4A1-S19,930

P2000 / USP-S12,473

Desert Eagle9,961

Glock-184,457

P2502,609

Galil AR2,592

Tec-92,266

Knife2,150

Lifetime map wins

14,238dust2

7,755inferno

3,395nuke

1,984train

1,526cbble

222vertigo

35office

32lake

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

Faceit stats

Combat

1,655Matches

52%Win rate

1.12Avg K/D

78.4ADR

42%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	213	49%	1.07	16.0
Dust2	185	51%	1.10	15.6
Ancient	150	51%	1.09	15.9
Inferno	137	55%	1.24	16.8
Anubis	116	54%	1.15	16.6
Nuke	93	49%	1.14	16.5
Overpass	22	36%	1.30	16.4
Cache	21	62%	1.18	15.6

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.

24.4%Headshot accuracy

41.8%Accuracy (enemy spotted)

44.7%Spray accuracy

81.9%Counter-strafing

8.4°Preaim

539msReaction time

68.2%T opening success

49.1%CT opening success

0.56Enemies flashed / flash

10.4%Flash assists

6.48HE damage / grenade

8.56Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
cache	13–9	-0.00	24%	19 Sept →
ancient	13–6	0.00	34%	19 Sept →
inferno	7–13	-0.03	17%	19 Sept →
anubis	13–9	-0.00	16%	19 Sept →
dust2	13–5	0.12	24%	19 Sept →
nuke	11–13	0.04	18%	19 Sept →
anubis	3–13	-0.05	26%	19 Sept →
ancient	13–8	-0.05	11%	19 Sept →
anubis	13–1	0.02	16%	18 Sept →
dust2	13–8	0.01	39%	18 Sept →
anubis	13–7	0.12	27%	17 Sept →
ancient	13–5	0.04	18%	17 Sept →
inferno	11–13	-0.02	17%	17 Sept →
dust2	7–13	0.00	33%	17 Sept →
inferno	13–9	0.04	15%	15 Sept →
anubis	13–9	0.03	18%	15 Sept →
dust2	13–8	0.08	35%	15 Sept →
ancient	5–13	0.01	24%	14 Sept →
anubis	16–13	0.08	52%	14 Sept →
inferno	10–13	-0.03	16%	14 Sept →
anubis	13–9	0.02	30%	14 Sept →
anubis	13–10	0.01	8%	14 Sept →
ancient	7–13	-0.02	24%	13 Sept →
anubis	11–13	0.02	24%	13 Sept →
nuke	16–14	0.02	20%	13 Sept →
ancient	2–13	-0.01	10%	13 Sept →
anubis	13–9	-0.02	28%	13 Sept →
dust2	13–7	0.04	41%	12 Sept →
dust2	13–3	0.03	18%	12 Sept →
dust2	13–10	0.06	36%	11 Sept →
cache	13–7	0.02	15%	11 Sept →
anubis	13–8	0.06	31%	11 Sept →
ancient	13–7	0.09	16%	11 Sept →
ancient	12–12	-0.02	18%	11 Sept →
dust2	12–12	-0.03	23%	11 Sept →
cache	8–13	-0.03	28%	11 Sept →
dust2	13–11	-0.03	18%	10 Sept →
ancient	13–9	-0.01	21%	10 Sept →
ancient	6–13	-0.04	26%	10 Sept →
dust2	11–13	-0.06	33%	9 Sept →
anubis	13–9	-0.02	20%	9 Sept →
ancient	13–7	-0.01	26%	9 Sept →
inferno	9–13	-0.03	17%	8 Sept →
ancient	15–15	0.06	27%	8 Sept →
dust2	13–5	0.05	13%	8 Sept →
inferno	11–13	-0.02	14%	8 Sept →
nuke	1–13	-0.01	19%	8 Sept →
inferno	13–2	0.03	15%	7 Sept →
ancient	2–13	-0.07	4%	7 Sept →
cache	13–8	-0.01	22%	7 Sept →
ancient	13–7	0.03	25%	7 Sept →
nuke	13–11	-0.03	16%	7 Sept →
dust2	13–11	0.16	16%	7 Sept →
inferno	13–7	0.04	7%	6 Sept →
anubis	16–14	0.04	18%	6 Sept →
nuke	13–5	0.05	34%	5 Sept →
ancient	13–3	-0.01	15%	5 Sept →
ancient	10–13	0.02	23%	5 Sept →
inferno	8–13	-0.01	27%	5 Sept →
ancient	13–10	0.02	34%	5 Sept →
dust2	9–13	-0.01	19%	5 Sept →
ancient	13–4	0.02	4%	5 Sept →
anubis	13–11	-0.04	19%	5 Sept →
dust2	11–13	0.01	13%	4 Sept →
ancient	13–6	0.10	29%	4 Sept →
nuke	7–13	-0.06	17%	4 Sept →
nuke	13–8	0.13	36%	4 Sept →
anubis	13–8	0.02	21%	3 Sept →
inferno	16–13	0.06	19%	3 Sept →
nuke	9–13	0.00	15%	3 Sept →
inferno	13–7	0.00	20%	3 Sept →
inferno	11–13	0.01	31%	3 Sept →
ancient	13–8	0.02	11%	3 Sept →
cache	13–3	0.02	20%	3 Sept →
dust2	13–9	-0.03	16%	2 Sept →
anubis	13–5	-0.01	28%	2 Sept →
inferno	13–11	0.02	29%	2 Sept →
anubis	13–5	0.09	31%	1 Sept →
ancient	13–2	-0.01	44%	1 Sept →
nuke	13–2	0.05	14%	1 Sept →
cache	12–12	0.00	28%	1 Sept →
inferno	13–2	0.02	29%	1 Sept →
dust2	13–4	0.06	15%	1 Sept →
nuke	13–1	0.08	20%	31 Aug →
dust2	13–3	0.11	25%	31 Aug →
cache	13–9	0.06	18%	31 Aug →
ancient	16–12	0.04	22%	30 Aug →
dust2	10–13	0.05	24%	30 Aug →
inferno	14–16	-0.05	22%	30 Aug →
anubis	9–13	0.01	13%	30 Aug →
inferno	13–5	0.01	29%	29 Aug →
ancient	13–11	0.03	14%	29 Aug →
ancient	8–13	-0.03	16%	29 Aug →
anubis	11–13	0.02	28%	29 Aug →
ancient	13–7	0.06	16%	28 Aug →
anubis	13–4	-0.01	12%	28 Aug →
cache	13–6	0.11	21%	28 Aug →
anubis	13–6	0.03	23%	27 Aug →
ancient	13–8	-0.04	19%	27 Aug →
dust2	7–13	0.03	30%	27 Aug →