urban0 — CS2 Stats

PROBounty HuntersBrazilRiflerSettings & gear profile →

BR76561198837142292[U:1:876876564]Steam profile ↗✓ No bans

1,687Tracked matches52%Win rate2020Tracked since

CSDB Rating8.0 StrongSupport

Premier CS Rating30,000Top 1% of 212,910 CSDB-tracked playersGold band · top ~0.6% of ranked players (population est.)

CSDB Leaderboard#635 of 259623 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 30,000 → 30,000

+44Tracked matches · now 1,687

−1.6ppWin rate · 53.3% → 51.7%

Rating over time

Premier CS Rating: 30,000 +0 29 Aug – 23 Sept · 11 observations

Faceit ELO: 3,592 +0 29 Aug – 23 Sept · 11 observations

30,000Peak Premier on CSDB

3,592Highest Faceit ELO seen on CSDB

34Days played since 2026-06-10

Premier CS Rating

At peak — 30,000
0 over 30 days · steady
Reached: Gold band · Red band · Pink band · Purple band
Gold band first seen 2026-08-29
Red band first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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

Aim93

Positioning66

Utility70

0–100 skill scores via Leetify.

Recent form

COLD60–39–1Last 10060%Win rateWLLLLLWWLT

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · +6.9pp headshot accuracy · −25ms reaction

Win rate down 40pp 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

1–4 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 30%
Avg reaction 497ms

Last 10

3–6–1 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 35%
Avg reaction 451ms

Last 20

10–9–1 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 31%
Avg reaction 463ms

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).

Aim9.3

Utility7.0

Positioning6.6

Opening Duels3.0

Clutch3.4

Sharp aimerEffective 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 89% 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 93 — the mechanical foundation is a clear strength.

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

Positioning6.6

Utility7.0

Mechanics8.4

Opening Duels6.0

Win Impact5.6

Composite 8.0/10 (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 rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time481ms−70ms

first ⅓ avg 551ms → last ⅓ avg 481ms

Headshot accuracy27.8%+3.0%

first ⅓ avg 24.8% → last ⅓ avg 27.8%

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

0.11Best match rating · 13–0 · ancient, 13 Jun →

100%Best headshot accuracy · 2–2 · cache, 12 Oct →

289msFastest reaction time · 2–2 · cache, 12 Oct →

13–0Biggest win · anubis, 27 Jun →

Across the last 100 tracked matches.

Highlights

19Longest win streak

9–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 78% over 9ancientWeakest map · 47% over 19

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	21	11–10	52%	-0.01
mirage	S	20	13–7	65%	-0.00
ancient	B	19	9–10	47%	-0.00
nuke	A	14	8–6	57%	-0.01
dust2	A	13	8–5	62%	0.00
anubis	S	9	7–2	78%	0.03
inferno	—	3	3–0	100%	0.02
overpass	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,341Matches

67%Win rate

1.52Avg K/D

93.8ADR

58%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

24Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	268	63%	1.34	19.0
Ancient	144	67%	1.36	17.3
Dust2	111	65%	1.36	18.1
Nuke	54	57%	1.23	15.6
Inferno	43	58%	1.14	14.8
Vertigo	24	54%	1.18	16.5
Anubis	15	73%	1.30	17.9
Overpass	12	75%	1.64	17.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$98Inventory value40ItemsFull inventory breakdown →

$64

$23

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.8%Headshot accuracy

35.6%Accuracy (enemy spotted)

42.7%Spray accuracy

88.0%Counter-strafing

8.9°Preaim

482msReaction time

59.4%T opening success

48.4%CT opening success

0.75Enemies flashed / flash

10.4%Flash assists

10.49HE damage / grenade

10.51Flashes / match

Recommended for you

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.

47% win rate across 19 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
mirage	13–9	-0.01	28%	31 Oct →
ancient	3–13	-0.01	30%	31 Oct →
cache	6–13	-0.01	33%	31 Oct →
ancient	11–13	-0.05	27%	29 Oct →
dust2	6–13	-0.06	32%	29 Oct →
cache	10–13	-0.03	14%	29 Oct →
dust2	13–5	0.04	23%	29 Oct →
ancient	13–11	0.00	26%	29 Oct →
nuke	8–13	-0.02	34%	12 Oct →
cache	2–2	0.03	100%	12 Oct →
ancient	13–9	0.05	33%	12 Oct →
cache	4–11	-0.07	38%	12 Oct →
ancient	13–10	0.03	25%	11 Oct →
mirage	13–5	-0.05	27%	11 Oct →
ancient	20–22	-0.05	17%	10 Oct →
nuke	16–14	0.03	32%	8 Oct →
dust2	13–6	-0.00	28%	8 Oct →
anubis	13–9	0.01	20%	7 Oct →
nuke	13–5	-0.01	30%	7 Oct →
ancient	17–19	-0.02	29%	4 Oct →
mirage	1–13	-0.07	6%	4 Oct →
nuke	16–13	-0.03	15%	3 Oct →
dust2	13–9	-0.00	15%	3 Oct →
nuke	8–13	-0.00	17%	27 Sept →
ancient	8–13	-0.02	28%	27 Sept →
cache	13–7	0.02	31%	27 Sept →
nuke	7–13	-0.04	33%	26 Sept →
mirage	9–13	0.01	21%	26 Sept →
anubis	13–8	0.03	29%	25 Sept →
nuke	13–4	0.02	18%	25 Sept →
anubis	6–13	0.01	26%	25 Sept →
ancient	9–13	-0.04	29%	25 Sept →
mirage	13–11	-0.00	22%	25 Sept →
cache	7–13	-0.01	39%	24 Sept →
dust2	3–13	-0.01	16%	24 Sept →
mirage	6–13	-0.08	17%	23 Sept →
ancient	11–13	-0.06	22%	23 Sept →
dust2	13–1	0.10	29%	23 Sept →
ancient	13–5	-0.03	19%	23 Sept →
mirage	13–7	-0.08	16%	23 Sept →
cache	13–10	0.02	30%	22 Sept →
mirage	13–6	0.03	24%	22 Sept →
mirage	16–19	-0.00	20%	20 Sept →
cache	14–16	0.00	26%	20 Sept →
cache	16–14	0.02	21%	19 Sept →
anubis	13–9	-0.01	24%	19 Sept →
nuke	13–5	0.06	23%	18 Sept →
ancient	13–11	-0.03	10%	18 Sept →
cache	10–13	-0.02	28%	18 Sept →
anubis	9–13	-0.00	26%	17 Sept →
mirage	13–7	0.03	19%	17 Sept →
cache	13–10	0.02	28%	17 Sept →
mirage	6–13	-0.01	26%	17 Sept →
cache	13–8	0.00	22%	17 Sept →
nuke	4–13	-0.06	41%	17 Sept →
cache	16–13	-0.04	38%	17 Sept →
anubis	16–14	0.05	26%	17 Sept →
dust2	10–13	-0.07	29%	7 Sept →
nuke	2–13	-0.04	30%	7 Sept →
ancient	13–2	0.01	20%	7 Sept →
cache	4–13	-0.02	29%	7 Sept →
mirage	13–11	0.06	26%	7 Sept →
nuke	2–13	-0.08	20%	6 Sept →
ancient	4–13	-0.05	28%	6 Sept →
mirage	10–13	-0.03	17%	6 Sept →
nuke	13–11	0.03	21%	6 Sept →
dust2	13–8	-0.04	24%	6 Sept →
dust2	13–9	-0.03	20%	5 Sept →
cache	13–8	-0.02	22%	5 Sept →
dust2	10–13	0.01	28%	5 Sept →
cache	6–13	-0.02	26%	5 Sept →
mirage	13–4	0.09	33%	5 Sept →
dust2	2–13	-0.03	30%	5 Sept →
cache	13–6	0.01	18%	5 Sept →
mirage	13–8	-0.07	20%	3 Sept →
cache	13–4	0.00	32%	3 Sept →
ancient	11–13	-0.03	19%	27 Aug →
mirage	4–13	-0.01	29%	27 Aug →
cache	2–9	-0.02	17%	26 Aug →
cache	6–5	0.02	38%	26 Aug →
ancient	10–13	0.01	34%	26 Aug →
cache	13–5	-0.00	14%	25 Aug →
mirage	13–6	-0.01	26%	25 Aug →
dust2	13–7	0.02	23%	29 Jul →
mirage	13–4	0.01	14%	29 Jul →
ancient	13–7	0.06	23%	29 Jul →
inferno	13–4	0.02	26%	28 Jul →
nuke	13–5	-0.00	27%	4 Jul →
ancient	13–8	0.02	18%	27 Jun →
inferno	13–6	0.02	22%	27 Jun →
anubis	13–0	0.08	16%	27 Jun →
ancient	13–0	0.11	33%	13 Jun →
dust2	13–4	0.09	18%	12 Jun →
anubis	13–10	0.10	33%	12 Jun →
anubis	13–5	-0.00	23%	12 Jun →
overpass	13–7	0.07	23%	11 Jun →
nuke	13–6	-0.02	27%	11 Jun →
mirage	13–5	0.07	35%	11 Jun →
inferno	13–4	0.01	21%	10 Jun →
mirage	13–9	0.05	32%	10 Jun →