rxx — CS2 Stats

76561198323595816[U:1:363330088]Steam profile ↗✓ No bans

4,574Tracked matches73%Win rate2021Tracked since

10,531Hours in CS36Hrs last 2 wks

CSDB Rating7.2 StrongHybrid Rifler

Premier CS Rating26,635Top 10% of 29,473 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)

CSDB Leaderboard#2276 of 42924 tracked

FaceitLevel 10 · 2,950 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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	49.6%	51.9%
Shot accuracy	11.9%	13.7%
Kill/death ratio	1.40	1.08
Match win rate	53.0%	48.7%

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Performance scores

Aim87

Positioning61

Utility72

0–100 skill scores via Leetify.

Recent form

HOT59–37–4Last 10059%Win rateWWLWWLWWWW

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.7

Aggression6.4

Utility7.2

Positioning6.1

Opening Duels2.2

Clutch4.0

Sharp aimerStrong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like Twistzz 97% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 87 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning6.1

Utility7.2

Mechanics4.6

Opening Duels2.3

Win Impact10.0

Composite 7.2/10 (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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time466ms−81ms

first ⅓ avg 547ms → last ⅓ avg 466ms

Headshot accuracy24.3%−5.0%

first ⅓ avg 29.3% → last ⅓ avg 24.3%

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.

Highlights

0.23Best rating — dust2 13–1

13–0Biggest win — dust2

7Longest win streak

W2Current streak

10–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 72% over 18anubisWeakest map · 52% over 21

Map	Grade	Played	Record	Win rate	Avg rating
anubis	B	21	11–10	52%	0.02
ancient	S	18	13–5	72%	0.04
inferno	A	17	10–7	59%	0.02
dust2	A	16	9–7	56%	0.03
mirage	A	11	6–5	55%	-0.01
cache	A	9	5–4	56%	-0.01
nuke	S	7	5–2	71%	0.02
overpass	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (52% over 21). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

224,715Lifetime kills

1.40K/D · Top 10% of Level 10 players

9,634Matches

53.0%Match win rate · Top 25% of Level 10 players

49.6%Headshot %

11.9%Shot accuracy

33,237MVPs

4,239Hours (in match)

10,802Bombs planted

6,342Bombs defused

Most-used weapons

AK-4787,186

M4A4 / M4A1-S37,755

AWP34,255

P2000 / USP-S13,107

Desert Eagle11,571

Glock-188,206

Knife5,570

MP94,691

MAC-103,224

Galil AR2,811

Lifetime map wins

13,441inferno

7,754dust2

5,302train

3,593nuke

3,235vertigo

1,593cbble

161lake

132office

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

Faceit stats

Combat

3,802Matches

53%Win rate

1.25Avg K/D

80.0ADR

49%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

14Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	553	58%	1.28	16.9
Mirage	406	51%	1.23	16.6
Anubis	393	51%	1.23	16.7
Inferno	328	56%	1.18	16.2
Dust2	167	49%	1.13	15.8
Train	137	57%	1.25	16.4
Overpass	123	57%	1.15	16.5
Nuke	90	53%	1.21	16.1

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.

23.8%Headshot accuracy

36.8%Accuracy (enemy spotted)

41.9%Spray accuracy

70.7%Counter-strafing

8.5°Preaim

461msReaction time

28.7%T opening success

48.7%CT opening success

0.74Enemies flashed / flash

10.9%Flash assists

8.23HE damage / grenade

9.84Flashes / 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.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 28.7045% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
inferno	19–16	0.03	16%	28 Aug →
ancient	13–5	0.06	38%	28 Aug →
ancient	9–13	-0.02	12%	25 Aug →
anubis	13–4	0.07	29%	25 Aug →
anubis	13–4	-0.01	23%	25 Aug →
cache	3–13	-0.03	31%	25 Aug →
ancient	13–3	0.00	30%	25 Aug →
anubis	13–5	-0.02	20%	24 Aug →
dust2	13–10	-0.03	16%	24 Aug →
anubis	13–9	0.00	13%	24 Aug →
inferno	6–13	-0.03	36%	24 Aug →
anubis	11–13	0.06	22%	24 Aug →
ancient	13–5	0.05	21%	24 Aug →
anubis	13–9	0.02	23%	23 Aug →
cache	17–19	-0.01	27%	23 Aug →
inferno	13–8	0.06	27%	23 Aug →
dust2	13–11	0.04	25%	23 Aug →
ancient	13–1	0.04	24%	23 Aug →
nuke	13–6	0.09	30%	23 Aug →
inferno	11–13	0.01	26%	20 Aug →
inferno	16–13	-0.00	14%	18 Aug →
anubis	8–13	-0.00	30%	18 Aug →
nuke	11–13	0.01	19%	18 Aug →
anubis	13–11	0.06	29%	18 Aug →
anubis	13–11	-0.01	26%	17 Aug →
inferno	13–8	-0.04	25%	17 Aug →
ancient	13–7	0.02	19%	17 Aug →
inferno	13–7	0.04	23%	17 Aug →
anubis	13–11	0.01	24%	17 Aug →
dust2	13–6	0.06	30%	13 Aug →
inferno	11–13	-0.00	14%	13 Aug →
dust2	13–8	0.01	28%	8 Aug →
anubis	8–4	0.02	35%	8 Aug →
mirage	3–13	-0.03	31%	8 Aug →
nuke	13–7	0.03	19%	6 Aug →
ancient	12–16	-0.03	18%	5 Aug →
inferno	13–8	0.06	29%	1 Aug →
dust2	10–13	-0.05	50%	31 Jul →
anubis	9–13	0.04	13%	30 Jul →
mirage	5–13	-0.08	26%	30 Jul →
cache	13–10	-0.01	29%	29 Jul →
ancient	13–11	0.06	26%	28 Jul →
ancient	0–13	0.00	0%	27 Jul →
mirage	13–5	0.14	23%	27 Jul →
dust2	11–13	0.04	21%	27 Jul →
inferno	8–13	0.02	32%	27 Jul →
nuke	16–13	-0.01	20%	26 Jul →
inferno	13–8	0.06	28%	25 Jul →
mirage	13–5	0.11	35%	25 Jul →
mirage	0–13	-0.20	0%	25 Jul →
anubis	9–13	0.00	21%	25 Jul →
nuke	13–5	0.06	17%	24 Jul →
dust2	13–6	0.05	17%	24 Jul →
inferno	0–13	0.00	0%	24 Jul →
mirage	15–15	0.03	26%	24 Jul →
ancient	13–7	-0.00	35%	24 Jul →
cache	13–11	-0.02	17%	23 Jul →
anubis	13–5	0.06	35%	23 Jul →
anubis	12–12	-0.03	29%	23 Jul →
anubis	12–12	0.05	21%	22 Jul →
mirage	13–7	-0.04	26%	22 Jul →
cache	13–3	-0.00	17%	22 Jul →
dust2	13–11	0.02	32%	21 Jul →
dust2	3–13	-0.12	30%	21 Jul →
anubis	11–13	0.00	32%	21 Jul →
ancient	13–1	0.13	29%	18 Jul →
mirage	13–9	-0.04	21%	18 Jul →
cache	13–11	-0.03	33%	18 Jul →
anubis	3–13	-0.02	20%	16 Jul →
ancient	0–13	-0.00	0%	16 Jul →
inferno	13–8	0.02	26%	16 Jul →
ancient	13–6	0.08	33%	13 Jul →
inferno	13–16	-0.01	18%	11 Jul →
dust2	13–0	0.06	38%	11 Jul →
mirage	10–13	0.05	23%	9 Jul →
ancient	13–7	0.07	27%	9 Jul →
dust2	12–12	0.14	27%	8 Jul →
cache	13–9	0.02	31%	8 Jul →
dust2	13–5	-0.01	15%	8 Jul →
dust2	10–13	-0.01	14%	7 Jul →
dust2	13–1	0.23	48%	6 Jul →
overpass	1–5	-0.04	50%	6 Jul →
nuke	0–13	-0.12	0%	6 Jul →
inferno	13–5	0.06	20%	5 Jul →
ancient	13–11	-0.02	24%	5 Jul →
anubis	7–13	0.05	21%	4 Jul →
ancient	4–13	0.09	27%	4 Jul →
cache	11–13	0.08	33%	3 Jul →
nuke	13–10	0.09	24%	3 Jul →
anubis	13–4	0.04	27%	3 Jul →
dust2	8–13	0.04	21%	1 Jul →
mirage	13–6	-0.05	23%	1 Jul →
cache	0–13	-0.07	100%	1 Jul →
mirage	13–6	0.02	23%	1 Jul →
inferno	1–13	0.04	21%	1 Jul →
ancient	13–6	0.02	29%	1 Jul →
ancient	2–1	0.13	100%	1 Jul →
inferno	13–7	0.02	29%	29 Jun →
dust2	11–13	0.03	22%	29 Jun →
anubis	7–13	0.03	23%	28 Jun →