exu — CS2 Stats

LV76561198081962089[U:1:121696361]Steam profile ↗✓ No bans

874Tracked matches77%Win rate2020Tracked since

3,580Hours in CS

CSDB Rating8.2 StrongPositional Player

Premier CS Rating26,515Top 5% of 215,386 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#10177 of 261642 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (12 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.

Rating over time

Premier CS Rating: 26,515 -1,086 2 Jul – 3 Nov · 15 days played

Faceit ELO: 1,906 +0 31 Aug – 1 Oct · 6 observations

28,078Peak Premier in tracked matches

1,906Highest Faceit ELO seen on CSDB

36Days played since 2026-05-17

Premier CS Rating

1,086 below peak (27,601)
+219 over 30 days · steady
Next: Gold band at 30,000 — 3,485 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-31
Pink band first seen 2026-08-31

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=30,986), 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	55.7%	50.9%
Shot accuracy	15.7%	13.7%
Kill/death ratio	1.17	1.09
Match win rate	49.2%	48.4%

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Performance scores

Aim94

Positioning77

Utility29

0–100 skill scores via Leetify.

Recent form

HOT66–31–3Last 10066%Win rateWWWWWWWWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · −37ms reaction

Win rate 0pp 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 0.01
Avg headshot accuracy 36%
Avg reaction 523ms

Last 10

9–1 · 90% win rate
Avg rating 0.02
Avg headshot accuracy 29%
Avg reaction 504ms

Last 20

18–2 · 90% win rate
Avg rating 0.03
Avg headshot accuracy 30%
Avg reaction 522ms

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 (+3.4 against its own average).

Aim9.4

Utility2.9

Positioning7.7

Opening Duels5.5

Clutch1.2

Sharp aimerExcellent counter-strafingStrong CT-side openerLimited utility dependence

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 donk 78% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution.

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 94 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

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

Aim9.4

Positioning7.7

Utility2.9

Mechanics8.7

Opening Duels7.1

Win Impact10.0

Composite 8.2/10 (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+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time533ms−112ms

first ⅓ avg 645ms → last ⅓ avg 533ms

Headshot accuracy31.1%−6.3%

first ⅓ avg 37.4% → last ⅓ avg 31.1%

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

0.13Best match rating · 5–0 · dust2, 4 Jul →

79%Best headshot accuracy · 13–3 · dust2, 24 May →

367msFastest reaction time · 0–4 · mirage, 1 Nov →

13–0Biggest win · mirage, 14 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W8Current streak

9–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 93% over 14mirageWeakest map · 41% over 27

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	11–16	41%	0.00
dust2	S	23	15–8	65%	0.02
cache	S	22	18–4	82%	0.03
nuke	S	14	13–1	93%	0.01
inferno	S	5	4–1	80%	-0.01
anubis	—	4	1–3	25%	-0.02
ancient	—	3	2–1	67%	0.01
office	—	2	2–0	100%	0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 27). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

206,673Lifetime kills

1.17K/D · Top 50% of Level 10 players

6,149Matches

49.2%Match win rate · Top 50% of Level 10 players

55.7%Headshot % · Top 50% of Level 10 players

15.7%Shot accuracy · Top 50% of Level 10 players

20,222MVPs

3,580Hours (in match)

6,435Bombs planted

2,338Bombs defused

Most-used weapons

AK-4787,635

AWP34,537

M4A4 / M4A1-S32,968

P2000 / USP-S13,148

Desert Eagle9,905

Glock-185,382

P2503,934

FAMAS2,402

Tec-92,343

SG 5532,323

Lifetime map wins

15,231dust2

6,605inferno

3,832nuke

2,699train

983cbble

566vertigo

395office

74italy

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

Faceit stats

Combat

573Matches

58%Win rate

1.22Avg K/D

91.8ADR

53%Headshot %

Clutches & streaks

26%1v1 clutch win

33%1v2 clutch win

14Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	27	70%	1.54	18.3
Dust2	26	88%	1.62	19.3
Nuke	13	100%	1.91	16.1
Cache	9	100%	1.74	17.6
Anubis	5	20%	0.85	13.2
Inferno	4	50%	1.53	18.8
Ancient	3	33%	1.00	18.3
Train	1	100%	0.94	16.0

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.

31.5%Headshot accuracy

35.7%Accuracy (enemy spotted)

36.7%Spray accuracy

89.2%Counter-strafing

7.4°Preaim

536msReaction time

56.2%T opening success

60.8%CT opening success

0.39Enemies flashed / flash

3.1%Flash assists

5.14HE damage / grenade

4.14Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3861 — below the 0.5 mark we flag
Grenade Lineups →

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.

41% win rate across 27 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
mirage	13–10	-0.00	25%	3 Nov →
nuke	13–10	0.03	50%	3 Nov →
office	13–9	0.01	46%	2 Nov →
cache	13–5	0.05	38%	2 Nov →
nuke	13–4	-0.01	23%	2 Nov →
ancient	13–8	0.06	27%	2 Nov →
cache	13–8	0.03	26%	2 Nov →
nuke	13–5	0.10	25%	2 Nov →
mirage	0–4	-0.09	0%	1 Nov →
cache	16–13	0.05	28%	1 Nov →
ancient	13–11	0.01	25%	1 Nov →
anubis	13–4	0.06	32%	1 Nov →
mirage	9–13	0.02	27%	1 Nov →
office	13–4	0.11	39%	31 Oct →
mirage	13–6	-0.03	26%	29 Oct →
cache	13–7	0.06	29%	29 Oct →
cache	13–3	0.03	33%	27 Oct →
dust2	13–1	0.12	28%	27 Oct →
nuke	13–5	0.02	43%	27 Oct →
dust2	13–11	0.02	25%	26 Oct →
nuke	16–14	0.09	37%	26 Oct →
mirage	9–13	-0.04	40%	26 Oct →
dust2	13–6	0.03	28%	26 Oct →
ancient	3–13	-0.05	26%	26 Oct →
cache	13–3	0.04	18%	25 Oct →
nuke	13–10	-0.03	26%	25 Oct →
mirage	4–13	0.03	52%	24 Oct →
inferno	13–6	0.05	43%	24 Oct →
anubis	10–13	0.02	21%	24 Oct →
dust2	5–13	0.04	34%	16 Oct →
mirage	7–13	0.01	34%	16 Oct →
mirage	13–8	0.06	32%	16 Oct →
mirage	13–8	0.04	42%	16 Oct →
mirage	5–13	-0.00	46%	15 Oct →
dust2	13–11	0.01	30%	12 Oct →
mirage	10–13	-0.01	33%	23 Sept →
mirage	8–13	-0.08	37%	21 Jul →
mirage	13–5	-0.01	26%	17 Jul →
cache	13–2	-0.02	28%	17 Jul →
cache	1–13	-0.05	13%	17 Jul →
dust2	3–10	-0.06	50%	15 Jul →
mirage	13–0	0.05	44%	14 Jul →
dust2	13–2	-0.00	28%	14 Jul →
inferno	13–7	-0.06	22%	14 Jul →
mirage	13–3	0.02	33%	13 Jul →
cache	13–0	0.12	29%	13 Jul →
dust2	13–6	0.02	32%	13 Jul →
mirage	11–13	-0.01	27%	13 Jul →
anubis	7–13	-0.06	26%	11 Jul →
dust2	5–13	-0.02	16%	11 Jul →
nuke	16–14	-0.05	31%	11 Jul →
cache	13–2	0.02	33%	11 Jul →
anubis	4–6	-0.11	9%	11 Jul →
inferno	13–5	-0.03	24%	11 Jul →
mirage	13–5	0.06	32%	11 Jul →
dust2	13–8	0.05	35%	11 Jul →
nuke	13–6	-0.02	41%	11 Jul →
cache	13–4	0.04	36%	11 Jul →
nuke	13–4	0.09	50%	11 Jul →
dust2	13–6	0.10	20%	11 Jul →
cache	9–13	0.02	33%	10 Jul →
inferno	13–1	0.03	25%	10 Jul →
dust2	13–6	0.04	37%	9 Jul →
mirage	12–12	-0.05	16%	9 Jul →
nuke	13–10	-0.01	27%	9 Jul →
mirage	9–13	-0.03	41%	9 Jul →
mirage	0–2	0.00	0%	8 Jul →
cache	1–6	-0.00	22%	8 Jul →
mirage	7–13	0.01	53%	7 Jul →
mirage	6–13	-0.04	33%	7 Jul →
cache	13–8	0.02	21%	7 Jul →
dust2	13–8	0.02	25%	7 Jul →
dust2	12–12	0.06	31%	7 Jul →
nuke	11–13	-0.03	38%	5 Jul →
dust2	9–13	-0.01	24%	5 Jul →
nuke	13–2	-0.00	43%	4 Jul →
cache	13–11	0.02	38%	4 Jul →
dust2	5–0	0.13	44%	4 Jul →
dust2	8–10	-0.04	43%	3 Jul →
cache	13–2	0.05	65%	3 Jul →
cache	13–9	-0.00	29%	3 Jul →
dust2	13–5	-0.08	32%	3 Jul →
cache	13–8	0.03	38%	2 Jul →
mirage	6–13	-0.07	38%	2 Jul →
nuke	13–11	-0.01	24%	2 Jul →
nuke	13–5	0.01	32%	2 Jul →
mirage	13–7	0.08	33%	19 Jun →
dust2	13–11	0.02	33%	13 Jun →
mirage	12–12	0.01	31%	5 Jun →
cache	10–13	0.07	33%	29 May →
dust2	13–11	0.06	44%	25 May →
dust2	7–13	-0.07	31%	25 May →
dust2	13–3	0.06	79%	24 May →
mirage	13–1	0.10	39%	24 May →
dust2	3–13	0.04	42%	24 May →
cache	13–8	0.03	47%	24 May →
cache	13–8	0.04	32%	19 May →
mirage	13–6	0.10	33%	19 May →
inferno	4–13	-0.03	53%	18 May →
cache	13–6	0.05	33%	17 May →