Uabom — CS2 Stats

76561198014997899[U:1:54732171]Steam profile ↗✓ No bans

2,985Tracked matches60%Win rate2020Tracked since

5,037Hours in CS61Hrs last 2 wks

CSDB Rating7.8 StrongPositional Player

Premier CS Rating26,798Top 5% of 204,316 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#6917 of 251408 tracked

FaceitLevel 10 · 2,040 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 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.

Rating over time

Premier CS Rating: 26,798 +2,023 28 Aug – 12 Oct · 18 days played

Faceit ELO: 2,040 +0 28 Aug – 7 Sept · 2 observations

27,259Peak Premier in tracked matches

2,040Highest Faceit ELO seen on CSDB

22Days played since 2026-08-28

Faceit ELO

At peak — 2,040
Next: 2,500 ELO at 2,500 — 460 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier CS Rating

461 below peak (27,259)
+786 over 30 days · improving
Next: Gold band at 30,000 — 3,202 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-07
Pink band first seen 2026-08-28

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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	39.0%	50.9%
Shot accuracy	13.2%	13.7%
Kill/death ratio	1.00	1.09
Match win rate	39.3%	48.4%

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Performance scores

Aim79

Positioning73

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateLLLWWLWLWL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −3.3pp headshot accuracy · +3ms 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 0.01
Avg headshot accuracy 17%
Avg reaction 480ms

Last 10

4–6 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 13%
Avg reaction 513ms

Last 20

10–10 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 15%
Avg reaction 511ms

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).

Aim7.9

Utility6.9

Positioning7.3

Opening Duels5.6

Clutch2.6

Strong CT-side opener

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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 63% T opening-duel success — entries that actually open the round.

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

Aim7.9

Positioning7.3

Utility6.9

Mechanics6.4

Opening Duels8.2

Win Impact8.3

Composite 7.8/10 (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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time505ms−16ms

first ⅓ avg 521ms → last ⅓ avg 505ms

Headshot accuracy15.2%−1.7%

first ⅓ avg 16.9% → last ⅓ avg 15.2%

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

0.19Best match rating · 13–2 · cache, 2 Oct →

33%Best headshot accuracy · 0–13 · mirage, 22 Sept →

359msFastest reaction time · 0–13 · mirage, 22 Sept →

13–2Biggest win · inferno, 7 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak

L3Current streak

10–9In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 50% over 36mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	36	18–18	50%	0.02
inferno	B	15	7–8	47%	0.02
cache	B	14	7–7	50%	0.03
ancient	B	13	6–7	46%	0.02
nuke	C	12	5–7	42%	0.02
mirage	D	6	1–5	17%	0.03
anubis	—	4	1–3	25%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

161,918Lifetime kills

1.00K/D

7,726Matches

39.3%Match win rate

39.0%Headshot %

13.2%Shot accuracy

15,980MVPs

3,239Hours (in match)

8,671Bombs planted

1,722Bombs defused

Most-used weapons

AK-4753,958

M4A4 / M4A1-S32,352

AWP16,551

Desert Eagle13,144

P2000 / USP-S7,066

Glock-184,210

SG 5533,695

Galil AR3,541

P2503,330

AUG3,113

Lifetime map wins

12,098inferno

10,419dust2

5,892nuke

3,468train

2,079vertigo

1,734office

425lake

340cbble

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

Faceit stats

Combat

719Matches

55%Win rate

1.11Avg K/D

85.3ADR

36%Headshot %

Clutches & streaks

33%1v1 clutch win

25%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	103	62%	1.18	16.7
Ancient	60	58%	1.20	17.9
Inferno	54	52%	1.23	18.2
Nuke	34	47%	1.18	18.2
Cache	31	74%	1.28	18.0
Anubis	31	39%	1.10	16.3
Mirage	22	41%	1.03	15.1
Overpass	14	64%	1.32	18.5

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.

15.2%Headshot accuracy

36.9%Accuracy (enemy spotted)

38.2%Spray accuracy

78.9%Counter-strafing

8.8°Preaim

503msReaction time

63.3%T opening success

62.1%CT opening success

0.64Enemies flashed / flash

10.6%Flash assists

14.31HE damage / grenade

12.22Flashes / match

Recommended for you

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	2–13	-0.08	18%	13 Oct →
ancient	11–13	-0.00	20%	13 Oct →
inferno	9–13	0.05	18%	13 Oct →
cache	13–3	0.04	7%	12 Oct →
ancient	13–4	0.01	21%	12 Oct →
dust2	6–13	-0.07	5%	12 Oct →
ancient	13–9	-0.01	10%	12 Oct →
dust2	5–13	-0.02	15%	11 Oct →
inferno	13–9	-0.02	13%	11 Oct →
ancient	3–13	0.07	10%	11 Oct →
cache	9–13	-0.01	21%	11 Oct →
inferno	13–10	0.04	15%	11 Oct →
cache	13–10	0.05	13%	11 Oct →
ancient	6–13	0.03	13%	11 Oct →
cache	7–13	0.03	21%	10 Oct →
dust2	13–3	0.09	20%	10 Oct →
inferno	8–13	0.04	15%	10 Oct →
dust2	13–5	0.07	14%	10 Oct →
dust2	16–12	0.12	16%	10 Oct →
dust2	19–17	0.05	19%	10 Oct →
dust2	13–9	0.05	13%	10 Oct →
dust2	13–8	0.04	19%	9 Oct →
nuke	13–4	0.05	19%	9 Oct →
dust2	13–6	0.04	17%	9 Oct →
inferno	13–11	0.02	11%	9 Oct →
dust2	13–7	0.08	20%	9 Oct →
inferno	7–13	0.04	14%	8 Oct →
nuke	2–13	-0.07	7%	8 Oct →
cache	13–6	0.02	17%	8 Oct →
nuke	13–8	0.04	13%	8 Oct →
inferno	13–5	0.06	17%	8 Oct →
inferno	13–2	0.01	18%	7 Oct →
dust2	13–7	0.02	15%	6 Oct →
dust2	6–13	-0.04	11%	6 Oct →
dust2	10–13	0.01	24%	6 Oct →
cache	6–13	0.03	10%	6 Oct →
ancient	11–13	0.03	11%	6 Oct →
inferno	11–13	0.02	21%	4 Oct →
dust2	6–13	-0.01	23%	4 Oct →
nuke	10–13	-0.00	13%	4 Oct →
dust2	5–13	-0.03	8%	3 Oct →
anubis	6–13	0.03	20%	3 Oct →
dust2	7–13	0.02	19%	3 Oct →
dust2	13–11	-0.02	15%	3 Oct →
ancient	13–11	0.02	13%	3 Oct →
cache	10–13	-0.03	8%	3 Oct →
anubis	7–13	0.02	18%	3 Oct →
cache	11–13	0.02	21%	3 Oct →
ancient	11–13	0.01	13%	3 Oct →
cache	13–11	0.05	20%	2 Oct →
dust2	11–13	0.02	12%	2 Oct →
dust2	13–11	-0.01	10%	2 Oct →
nuke	13–8	0.05	12%	2 Oct →
cache	13–2	0.19	16%	2 Oct →
dust2	9–13	0.00	21%	2 Oct →
dust2	13–2	0.12	14%	2 Oct →
ancient	13–6	0.05	9%	2 Oct →
ancient	13–11	-0.00	14%	1 Oct →
cache	13–7	0.08	10%	1 Oct →
cache	16–14	0.06	13%	1 Oct →
dust2	13–5	-0.01	23%	1 Oct →
inferno	13–11	0.02	9%	1 Oct →
dust2	13–7	0.01	12%	1 Oct →
nuke	9–13	0.02	11%	30 Sept →
mirage	10–13	0.08	14%	30 Sept →
dust2	11–13	0.06	17%	30 Sept →
dust2	8–13	0.06	16%	30 Sept →
inferno	7–13	0.03	10%	30 Sept →
ancient	13–5	0.05	17%	30 Sept →
dust2	4–13	0.01	24%	29 Sept →
ancient	11–13	0.02	11%	29 Sept →
mirage	7–13	-0.03	13%	28 Sept →
dust2	13–9	0.01	16%	28 Sept →
inferno	10–13	0.03	21%	27 Sept →
nuke	7–13	0.15	22%	27 Sept →
dust2	13–9	0.04	20%	26 Sept →
mirage	11–13	0.02	18%	26 Sept →
anubis	13–9	0.06	21%	26 Sept →
nuke	13–5	0.03	14%	26 Sept →
ancient	9–13	-0.01	12%	26 Sept →
nuke	8–13	0.04	12%	26 Sept →
nuke	7–13	-0.03	14%	25 Sept →
mirage	13–2	0.12	15%	25 Sept →
cache	3–13	-0.10	17%	25 Sept →
nuke	6–13	-0.02	14%	25 Sept →
dust2	6–13	-0.05	13%	23 Sept →
nuke	13–10	-0.03	20%	23 Sept →
mirage	4–13	-0.01	17%	23 Sept →
dust2	15–15	-0.01	17%	23 Sept →
dust2	4–13	0.03	13%	22 Sept →
dust2	7–13	-0.02	12%	22 Sept →
inferno	9–13	-0.01	13%	22 Sept →
mirage	0–13	-0.01	33%	22 Sept →
dust2	13–10	-0.02	19%	22 Sept →
dust2	13–7	0.09	15%	22 Sept →
inferno	13–11	0.02	14%	21 Sept →
dust2	7–13	-0.03	14%	21 Sept →
cache	10–13	-0.03	18%	21 Sept →
dust2	4–13	-0.02	17%	21 Sept →
anubis	4–13	-0.03	33%	20 Sept →